Green*DiamondGreen*Diamond (GD1)
Unleash Dynamic Trading Signals with Volatility and Momentum
Overview
GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading style—whether you’re scalping, day trading, or swing trading.
Key Features
Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones.
Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions.
MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision.
RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection.
Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues.
Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading.
Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes.
Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities.
How It Works
Green*Diamond integrates multiple indicators to generate signals:
Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled).
Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets.
MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals.
Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmoves—all filtered to avoid consolidation.
Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals.
Settings
Volatility Bands Settings:
VB Lookback Period (20): Adjust to 10–15 for faster markets (e.g., 1-minute scalping) or 25–30 for daily charts.
Upper/Lower Band Multiplier (1.0): Increase to 1.5–2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets.
Show Volatility Bands: Toggle off to reduce chart clutter.
Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals.
Consolidation Settings:
Consolidation Lookback (14): Set to 5–10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes.
Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals.
MACD Settings:
Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading.
Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends.
Buy/Sell Signal Options: Choose “Cross Above Signal” for classic MACD; “Histogram Up” for momentum plays.
Use RSI Div + MACD Cross: Enable for high-probability reversal signals.
RSI Settings:
RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily.
Filter Level (50): Set to 55 for stricter buys; 45 for sells.
Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices.
RSI Buy/Sell Options: Select “Bullish Divergence” for reversals; “Cross Above Oversold” for momentum.
Color Settings:
Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes).
Border Thickness (1): Increase to 2–3 for clearer candle outlines.
Volume Settings:
Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades.
Volume Multiplier (2.0): Raise to 3.0 for AEHL’s volume surges; lower to 1.5 for steady stocks.
Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter.
Ribbon Settings:
EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends.
Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues.
Gradient Fill: Toggle on for trend clarity; off for minimalism.
Custom Signals:
Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1–2 signals to avoid spam.
Pullback/Inverse Pullback % (50): Set to 30–40% for small caps; 60–70% for indices.
Max Buy Signals (1): Increase to 2–3 for active markets; keep at 1 for discipline.
Tips and Tricks
Scalping Small Caps (e.g., AEHL):
Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10–$0.20 moves.
Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic.
Pair with SMC+ green boxes (if you use them) for reversal confirmation.
Day Trading:
Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10.
Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2.
Watch for volume bars turning yellow to confirm entries.
Swing Trading:
Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60.
Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles.
Check Ribbon Wave gradient for trend strength—bright green signals strong bulls.
Avoiding Noise:
Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts.
Disable Ribbon Wave or Volume Bars if the chart feels crowded.
Limit Max Buy Signals to 1 for disciplined trading.
Alert Setup:
In TradingView’s Alerts panel, select:
“GD Buy Signal” for standard entries.
“RSI Div + MACD Cross Buy” for reversals.
“VB Buy Signal” for breakout plays.
Set to “Once Per Bar Close” for confirmed signals; “Once Per Bar” for scalping.
Backtesting:
Replay on small caps ( Float < 5M, Price $0.50–$5) to test signals.
Focus on “GD Buy Signal” with yellow volume bars and green Ribbon Wave.
Avoid signals during gray consolidation squares unless paired with RSI Divergence.
Usage Notes
Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD).
Timeframes: Scalping (1–5 minutes), day trading (15–60 minutes), or swing trading (daily). Adjust settings per timeframe.
Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3–5%).
Customization: Tweak inputs to match your strategy—experiment in replay to find your sweet spot.
Disclaimer
Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesn’t predict future results. Always conduct your own analysis, manage risk, and test settings before live trading.
Feedback
Love Green*Diamond? Found a killer setup?
Cerca negli script per "swing trading"
Dynamic Zone Risk Manager [Algo Seeker]Introduction
The Algo Seeker: Dynamic Zone Risk Manager excels in both ranging and trending market conditions. It merges two critical trading components: a zone identification system that allows traders to anticipate price movement within structured ranges and a dynamic risk assessment table that optimizes position sizing based on account parameters and zone-specific characteristics, while also calculating trade-specific risk and reward.
For traders struggling with consistent risk management and identifying high-probability zones, particularly in challenging ranging market conditions, this tool provides a structured framework that enhances precision in trading decisions and capital allocation — addressing two of the most common challenges in trading.
🟠 Unique Features & Trading Benefits
Advanced Zone Structuring:
🟢 The indicator adapts to different trading styles through Scalp, Swing, and Investor modes. Scalp mode generates tight, precise zones optimized for intraday price movements and quick trades completed within minutes or hours. Swing mode creates intermediate zones calibrated for positions held for the entire day or a few weeks, providing optimal zone structures for medium-term trading approaches. Investor mode establishes broader zones designed specifically for positions spanning a few weeks to a few months, identifying major support and resistance levels for extended holding periods.
🟢 These zones are particularly useful during ranging markets. They define clear price ranges within which movement may oscillate based on the selected trading horizon. Such clarity helps traders anticipate potential bounce areas and manage trades more effectively, even when the market lacks a clear directional trend.
🟢 The system transforms static price levels into comprehensive trading zones with clearly defined boundaries. The multi-dimensional architecture creates actionable entry, exit, and management levels that remain relevant across different market conditions.
Unique Risk Management:
🟢 A dynamic risk table that calculates position sizing based on the trader's actual account size. When traders select Scalp, Swing, or Investor mode, the table automatically computes the optimal capital allocation specifically for that mode and the current zone.
🟢 The table provides exact dollar amounts for both risk and potential reward based on current price position within the zone. If price is already moving through a zone, the table dynamically updates to show how much of the potential reward remains available.
🟢 This precise risk management system gives traders a clear, quantified understanding of exactly how much capital to allocate per trade, the specific dollar amount at risk, and the remaining profit potential—all updating in real-time as price moves through the zones.
Dynamic Cost Basis Analysis:
🟢 Continuously calculates optimal midpoints within each zone, creating additional precision pivot points that traditional tools can lack. These dynamic reference points enhance trade accuracy in ranging markets while providing essential data points for the integrated risk management calculations.
🟠 The Power of Integration: Zones Meet Risk Management
The true power of the Algo Seeker: Dynamic Zone Risk Manager emerges when these components work together as a unified system. The trader-selected strategy zones and dynamic risk table create a complete trading ecosystem that addresses the three critical elements of successful trading:
1. Precision Entry Points: Zone boundaries provide clear entry thresholds optimized for your selected trading mode (Scalp, Swing, or Investor), eliminating guesswork around optimal trade initiation points.
2. Disciplined Risk Control: The risk table's exact dollar calculations remove emotional decision-making from position sizing and stop placement, creating a consistent risk approach regardless of market volatility.
3. Strategic Exit Management: As price moves through zones, both visual cues and quantified metrics guide intelligent profit-taking decisions, preventing the common mistake of exiting too early or holding too long.
This synchronized framework transforms theoretical analysis into practical execution, giving traders a complete toolset for managing the entire lifecycle of each trade with precision and confidence.
🟠 Additional Algo Benefits
Psychological Trading Edge:
The Algo Seeker: Dynamic Zone Risk Manager addresses the most challenging aspect of trading—emotional decision-making. By transforming complex risk/reward calculations into clear, quantified metrics, the system eliminates decision paralysis and reactionary trading. Traders gain immediate clarity during volatile conditions through the visual integration of precise zones and risk parameters. This psychological framework cultivates discipline and confidence when market noise typically triggers impulsive decisions, allowing for consistent execution even during challenging market environments.
Efficiency and Time Value:
The system delivers exceptional time efficiency by eliminating the need for manual risk calculations, zone identification, and position sizing. What typically requires multiple tools and extensive spreadsheet calculations is seamlessly integrated into a unified interface. Traders receive immediate, actionable insights without the cognitive burden of juggling separate indicators. This allows professionals to focus on strategic decisions rather than technical calculations.
Advanced User Customization:
Unlike one-size-fits-all indicators, the Algo Seeker: Dynamic Zone Risk Manager adapts to individual trading methodologies. The system accommodates personalized account parameters and allocates capital differently based on three distinct trading modes—scalping, swing trading, and investing. This flexibility allows professional traders to implement their unique strategy while maintaining precise risk control across different positions and time horizons. The customizable table positioning and color schemes further enhance workflow integration for diverse trading environments.
🟠 How to Use
Initial Setup
1. Lookback Parameter: The Lookback Period determines which candle data the Dynamic Zone Risk Manager uses to establish trading zones:
🟢Lookback = 1 (Default): Uses the most recent closed candle to calculate zones. This provides stable analysis based on completed price action and is recommended for most trading scenarios.
🟢Lookback = 0: Uses the current, still-forming candle. This offers more immediate responsiveness, but zones may change as the candle develops. For consistent zone analysis, Lookback = 1 typically offers a better foundation.
2. Configure Account Parameters: Input your total trading capital in the settings panel to customize risk calculations specific to your account size.
3. Select Trading Mode: Choose between Scalp, Swing, or Investor modes based on your preferred trade style:
🟢Scalp: For intraday movements (minutes to hours)
🟢Swing: For medium-term positions (days to weeks)
🟢 Investor: For longer-term positions (weeks to months)
4. Account Parameters Setup: The risk management component requires your account size to provide accurate position sizing calculations.
🟢Total Account Size: Enter your total trading capital in the "Total Account Size ($)" input. All risk calculations are based on this value.
🟢Trading Allocation Percentages: The system allows you to divide your capital across three trading modes.
1. Scalp Allocation (%): Percentage of capital reserved for short-term trades
2. Swing Allocation (%): Percentage of capital for medium-term positions
3. Invest Allocation (%): Percentage of capital for longer-term investments
These percentages can be customized to match your personal trading strategy and risk tolerance.
Margin Multiplier: Adjust the margin multiplier value based on your broker's requirements and your preferred leverage.
The system uses these parameters to calculate appropriate position sizes for each trading mode, ensuring your risk exposure remains aligned with your capital management plan.
5.Visual Customization: Adjust color schemes and table positions to optimize for your workspace layout and visual preferences.
🟠 Risk Table Explanation
The dynamic risk tables provide real-time position sizing and risk metrics as price moves through different zones:
1. Zone Column: Displays the current zone where price is located.
2. Zone Size: Shows the total price range of the current zone.
3. Trade Type: Indicates the trading style (Scalp, Swing, or Invest).
4. Shares: Displays the calculated position size (number of shares) based on your account parameters and the current zone.
5. Risk($): Shows the approximate dollar amount at risk if the trade moves against you within the zone.
6. Reward($): Displays the potential dollar return if price moves completely through the zone in your favor.
7. Left: Indicates how much potential movement remains within the current zone based on the latest price.
The table updates dynamically as price moves, giving you real-time risk/reward information. Each trading style is displayed separately, allowing you to compare potential position sizes across different trade modes while maintaining consistent risk management.
🟠 Strategic Execution
Strategy Usage Example
The Algo Seeker: Dynamic Zone Risk Manager provides a complete framework for precise trading decisions. Here's how you might leverage its power:
1. Zone-Based Trading: The indicator identifies key zones and levels that serve as powerful pivot points. These are not arbitrary levels but mathematically derived zones where price is likely to react. Use these zones directly for your trading decisions.
2. Precision Entries: For long positions, enter near the lower boundary of a zone with targets at the upper boundary. For shorts, enter near the upper boundary with targets at the lower boundary. These levels identify potential entry points based on the underlying market structure.
3. Risk Management: The zone, level, or cost basis below your entry (for longs) or above your entry (for shorts) can serve as logical places to set stop losses, helping you define your risk on each trade.
4. Position Sizing Precision: Use the exact share/contract quantities displayed in the risk table. This eliminates guesswork in position sizing and provides both risk and profit calculations that align perfectly with your capital management strategy.
5. Strategic Exits: Take profits at the target zone boundaries identified by the indicator. These levels represent mathematical points where price may encounter resistance or support, providing potential exit opportunities.
6. Advanced Strategy Options:
🟢Consider taking partial profits at cost basis (midpoint) levels
🟢Trade from zone to zone using the defined boundaries
🟢Scale in or out at specific zone transitions
🟢Set trailing stops at subsequent zone boundaries as price progresses
The strength of this indicator lies in its ability to provide all the critical decision points needed for a complete trade - from entry to exit, with precise position sizing - all derived from its sophisticated algorithmic analysis rather than subjective interpretation.
🟠 Alert Configuration
1. Zone Crossovers: Set alerts for when price transitions between key zones.
2. Cost Basis Interactions: Configure notifications for when price approaches optimal entry points.
The Algo Seeker Wizard Ultra Risk represents years of development and refinement in professional trading environments. Its integration of sophisticated zone identification with precise risk management creates a comprehensive framework that transforms theoretical market analysis into actionable trading decisions with quantified risk parameters.
Multiple MAsHere's a well-written description in English for your "Multiple MAs" indicator that you can use when publishing on TradingView. It’s concise, professional, and highlights the key features of the indicator while explaining its purpose for traders.
---
### Multiple MAs Indicator
#### Overview
The **Multiple MAs** indicator is a versatile and straightforward tool designed to help traders visualize price trends using multiple Simple Moving Averages (SMAs) on a single chart. By plotting six SMAs with customizable lengths (MA5, MA10, MA20, MA50, MA100, and MA200), this indicator provides a clear view of short-term, medium-term, and long-term trends, making it ideal for trend-following strategies, crossover analysis, and identifying potential support/resistance levels.
#### Features
- **Customizable MA Lengths**: Adjust the periods of all six moving averages (MA5, MA10, MA20, MA50, MA100, MA200) to suit your trading style and timeframe.
- **Distinct Visuals**: Each MA is plotted with a unique color and line width for easy identification:
- MA5 (Dodger Blue, 1px)
- MA10 (Green, 1px)
- MA20 (Red, 2px)
- MA50 (Purple, 3px)
- MA100 (Gray, 3px)
- MA200 (White, 3px)
- **Overlay on Price Chart**: The indicator overlays directly on the price chart, allowing for seamless integration with other technical analysis tools.
- **High Precision**: Displays values with 8-decimal precision, ensuring accuracy for assets with small price movements (e.g., forex pairs or cryptocurrencies).
#### How to Use
1. **Trend Identification**: Use the longer MAs (e.g., MA100, MA200) to determine the overall trend direction. If the price is above these MAs, the trend is likely bullish; if below, it’s likely bearish.
2. **Crossover Signals**: Look for crossovers between shorter MAs (e.g., MA5 crossing MA20) for potential entry or exit signals. For example:
- A bullish signal occurs when a shorter MA crosses above a longer MA.
- A bearish signal occurs when a shorter MA crosses below a longer MA.
3. **Support and Resistance**: MAs often act as dynamic support or resistance levels. Watch for price reactions around these lines, especially the MA50, MA100, and MA200.
4. **Divergence Analysis**: Compare the slope of different MAs to identify potential trend reversals or weakening momentum.
#### Settings
- **MA5 Length**: Default is 5 bars.
- **MA10 Length**: Default is 10 bars.
- **MA20 Length**: Default is 20 bars.
- **MA50 Length**: Default is 50 bars.
- **MA100 Length**: Default is 100 bars.
- **MA200 Length**: Default is 200 bars.
#### Best Practices
- **Timeframe**: This indicator works on any timeframe but is particularly effective on daily, 4-hour, and 1-hour charts for swing trading or trend-following strategies.
- **Combine with Other Tools**: Pair the Multiple MAs with other indicators like RSI, MACD, or volume analysis to confirm signals and avoid false breakouts.
- **Adjust for Volatility**: For highly volatile assets, consider increasing the MA lengths to reduce noise and focus on broader trends.
#### Notes
- The indicator is lightweight and optimized for performance, ensuring it runs smoothly even on lower timeframes.
- Colors and line widths are pre-set for clarity but can be customized in the indicator settings if needed.
#### Credits
Created by kosar_v. Feedback and suggestions are welcome to improve this tool for the TradingView community!
Emperor RSI CandleDescription:
The Emperor RSI Candle is a real-time, non-lagging trading indicator that colors candles based on RSI (Relative Strength Index) levels. It offers instant visual feedback on market momentum, making it easy to identify trend strength, overbought/oversold zones, and potential reversals with precision.
Unlike traditional RSI indicators, which display RSI values in a separate panel, Emperor RSI Candle integrates RSI signals directly into the candles, providing a cleaner, more intuitive charting experience. Its multi-timeframe RSI box shows RSI values across different timeframes, offering confluence confirmation for better trade decisions.
🔥 Emperor RSI Candle is original because it includes a multi-timeframe RSI box that displays RSI values from:
1 min → Monthly timeframes simultaneously.
📊 How this is unique:
Traders can instantly compare RSI values across different timeframes.
This helps them spot confluence and divergences, which is not possible with standard RSI indicators.
The multi-timeframe confluence feature makes the indicator highly effective for both short-term and long-term traders.
🚀 What the script does:
Real-time candle coloring based on RSI levels.
Multi-timeframe RSI box for confluence insights.
Customizable RSI settings for adaptability.
How it benefits traders:
Instant visual feedback for momentum and reversals.
No lag signals for precise trading decisions.
Flexible customization for different trading styles.
Unique visual signals:
Green, red, parrot green, and blue candles → Clearly indicating bullish/bearish momentum and overbought/oversold zones.
Multi-timeframe RSI box → For cross-timeframe confluence.
⚡️ 🔥 UNIQUE FEATURES 🔥:
✅ Multi-Timeframe RSI Box:
Displays RSI values from 1 min to monthly timeframes, helping traders confirm confluence across different timeframes.
✅ Fully Customizable RSI Levels & Display:
Modify RSI thresholds, source, and appearance to fit your trading style.
✅ Dynamic Candle Borders for Weak Signals:
Green border → Weak bullishness (RSI between 50-60).
Red border → Weak bearishness (RSI between 40-50).
✅ Lag-Free, Real-Time Accuracy:
No repainting or delay—instant visual signals for accurate decisions.
✅ Scalable for Any Trading Style:
Perfect for both intraday scalping and positional trading.
📊 🔥 HOW IT WORKS 🔥:
The indicator dynamically colors candles based on RSI values, providing real-time visual signals:
🟢 Above 60 RSI → Green candle:
Indicates bullish momentum, signaling potential upward continuation.
🟩 Above 80 RSI → Parrot green candle:
Overbought zone → Possible reversal or profit booking.
🟥 Below 40 RSI → Red candle:
Signals bearish momentum, indicating potential downward continuation.
🔵 Below 20 RSI → Blue candle:
Oversold zone → Possible reversal opportunity.
🔲 Neutral candles:
50-60 RSI → Green border: Weak bullishness.
40-50 RSI → Red border: Weak bearishness.
📊 🔥 MULTI-TIMEFRAME RSI BOX 🔥:
The Emperor RSI Candle includes an RSI box displaying multi-timeframe RSI values from 1 min to monthly. This provides:
✅ Confluence confirmation:
Compare RSI across multiple timeframes to strengthen trade conviction.
✅ Spot divergences:
Identify hidden trends by comparing smaller and larger timeframes.
✅ Validate trade entries/exits:
Use higher timeframe RSI to confirm smaller timeframe signals
⚙️ 🔥 HOW TO USE IT 🔥:
To maximize the accuracy and clarity of Emperor RSI Candle, follow these steps:
🔧 STEP 1: Chart Settings Configuration
Go to Chart Settings → Symbols
Uncheck the following options:
Body
Borders
Wick
✅ This ensures that only the Emperor Candle colors are visible, making the signals clear and distinct.
🔧 STEP 2: Style Settings for Emperor Candle
After applying the Emperor RSI Candle:
Go to Settings → Style tab
Wick section:
Select Color 2 and Color 3 → Set Opacity to 100%.
Border section:
Select Color 2 and Color 3 → Set Opacity to 100%.
✅ This ensures the candles display with full visibility and accurate colors.
⚙️ 🔥 CUSTOMIZATION OPTIONS 🔥:
Emperor RSI Candle offers full flexibility to match your trading style:
✅ RSI Length:
Modify the period used for RSI calculation (default: 10).
✅ Top & Bottom Levels:
Adjust the overbought (default: 80) and oversold (default: 20) thresholds.
✅ Intermediate Levels:
Up Level: Default: 60 → Bullish RSI threshold.
Down Level: Default: 40 → Bearish RSI threshold.
Mid Level: Default: 50 → Neutral zone.
✅ RSI Source:
Select the price source for RSI calculation (Close, Open, High, Low).
✅ RSI Period:
Customize the RSI calculation period (default: 10).
✅ Font Size:
Adjust the RSI box font size for better visibility.
✅ Box Position:
Choose where to display the RSI box:
Top Left / Top Center / Top Right
Bottom Left / Bottom Center / Bottom Right
💡 🔥 HOW IT IMPROVES TRADING 🔥:
✅ Clear trend identification:
Instantly recognize bullish, bearish, or neutral conditions through candle colors.
✅ Precise entries and exits:
Spot overbought and oversold zones with visual clarity.
✅ Multi-timeframe confirmation:
Validate trades with RSI confluence across multiple timeframes.
✅ No lag, real-time accuracy:
Immediate visual signals for faster and more reliable trade decisions.
✅ Customizable settings:
Tailor the indicator to fit your trading strategy and preferences.
✅ Works for all trading styles:
Suitable for scalping, day trading, and swing trading.
🔥How Traders Can Use Emperor RSI Candle for Trading:
🟢 Green Candles (Above 60 RSI) → Bullish Momentum:
Indicates strong upward movement → Ideal for long entries.
Traders can hold until RSI approaches 80 for profit booking.
🟥 Red Candles (Below 40 RSI) → Bearish Momentum:
Signals strong downward movement → Ideal for short trades.
Traders can exit or book profits near RSI 20.
2. Spotting Overbought and Oversold Zones for Reversals:
🟩 Parrot Green Candles (Above 80 RSI) → Overbought Zone:
Indicates potential for reversals or profit booking.
Traders can tighten stop-losses or exit positions.
🔵 Blue Candles (Below 20 RSI) → Oversold Zone:
Signals a potential reversal opportunity.
Traders can look for buy signals with confluence confirmation.
3. Catching Weak Bullish and Bearish Trends with Border Colors:
🟢 Green Border (RSI 50-60) → Weak Bullishness:
Indicates mild upward momentum.
Traders can consider cautious long entries.
🔴 Red Border (RSI 40-50) → Weak Bearishness:
Indicates mild downward pressure.
Traders can consider cautious short entries.
4. Using the RSI Multi-Timeframe Box for Confluence:
✅ Displays RSI values from 1 min to monthly timeframes.
Usage:
Confluence confirmation:
Multiple timeframes showing bullish RSI → Strong uptrend → Reliable buy signals.
Multiple timeframes showing bearish RSI → Strong downtrend → Reliable sell signals.
Spotting divergences:
If lower timeframes are bullish but higher timeframes are bearish, it indicates a potential reversal.
5. Customization Tips for Different Trading Styles:
✅ For Scalping:
Use a smaller RSI period (9-10) for faster signals.
Check the multi-timeframe RSI box to confirm signals quickly.
✅ For Swing Trading:
Use the default RSI period (14-15) for more accurate signals.
Focus on higher timeframes (1 hr, 4 hr, daily) for stronger trend confirmation.
BBMA Strategy - EXT CSD CSM MHV RE CodesBINANCE:BTCUSD
Below is a detailed guide for using and interpreting the "BBMA Strategy - Enhanced EXT CSD CSM with Subplot" indicator. This guide is designed to be added to the description of the indicator when publishing it on TradingView. It provides clear instructions for users on how to apply the indicator, interpret its signals, and understand its features, including the multi-timeframe analysis and subplot table.
BBMA Strategy - Enhanced EXT CSD CSM with Subplot: User Guide
Overview
The "BBMA Strategy - Enhanced EXT CSD CSM with Subplot" is a comprehensive trading indicator built on the Bollinger Bands Moving Average (BBMA) framework. It combines multiple technical analysis tools—Bollinger Bands, Moving Averages (MAHI and MALO), EMA, ATR, volume analysis, RSI, MACD, market structure, and candlestick patterns—to identify high-probability trading setups. The indicator supports five key BBMA setups: EXT (Extreme), CSD (Consolidation), CSM (Continuation Setup Movement), RE (Re-Entry), and MHV (Market High Volatility).
This enhanced version includes:
Multi-Timeframe (MTF) Analysis: Confirms signals across a Lower Timeframe (LTF) and Higher Timeframe (HTF) for stronger trade validation.
Subplot Table: Displays signal status ("Active" or "Upcoming") and MTF confirmations in a clear table format.
Market Structure and Volume Filters: Incorporates Break of Structure (BOS), RSI divergence, and volume conditions to filter out low-probability trades.
Customizable Settings: Adjust Bollinger Bands, MA periods, timeframes, and more to suit your trading style.
This indicator is suitable for traders of all levels and can be used across various markets (e.g., forex, crypto, stocks) and timeframes (1M to 1D).
How to Use the Indicator
1. Add the Indicator to Your Chart
Open TradingView and load the chart of your chosen asset (e.g., BTCUSD, EURUSD, XAUUSD).
Go to the Pine Editor, paste the indicator code, and click "Add to Chart."
The indicator will overlay on your chart, displaying Bollinger Bands, Moving Averages, EMA, and signal labels. A subplot table will appear at the bottom of the chart.
2. Configure the Settings
The indicator provides customizable inputs to tailor it to your trading preferences. Access the settings by clicking the gear icon next to the indicator name on your chart:
Bollinger Bands Settings:
BB Period: Default is 20. Adjust the lookback period for Bollinger Bands.
BB Deviations: Default is 2. Adjust the standard deviation for the bands.
MAHI Settings (Moving Averages on High):
MAHI 5 Period: Default is 5. Period for the shorter MA on highs.
MAHI 10 Period: Default is 10. Period for the longer MA on highs.
MALO Settings (Moving Averages on Low):
MALO 5 Period: Default is 5. Period for the shorter MA on lows.
MALO 10 Period: Default is 10. Period for the longer MA on lows.
EMA Settings:
EMA Period: Default is 50. Adjust the period for the Exponential Moving Average.
ATR Settings:
ATR Period: Default is 14. Period for the Average True Range.
ATR SMA Period: Default is 14. Period for the ATR smoothing.
Timeframe Settings:
Minor HTF: Default is 1h. Select the minor higher timeframe for trend confirmation.
Major HTF: Default is 4h. Select the major higher timeframe for trend confirmation.
Lower TF for Confirmation: Default is 5m. Select the lower timeframe for signal confirmation.
Market Structure Settings:
Market Structure Lookback: Default is 10. Adjust the lookback period for swing highs/lows in market structure analysis.
3. Select Your Chart Timeframe
The indicator works on any timeframe from 1 minute (1M) to 1 day (1D).
For best results, align your chart timeframe (Current Timeframe, CTF) with the LTF and HTF settings:
Example: If CTF is 15m, set LTF to 5m and HTF to 1h or 4h.
This ensures proper multi-timeframe alignment for signal confirmation.
Indicator Components
Main Chart Elements
Bollinger Bands (BB): Plotted as three lines (upper, middle, lower) to identify volatility and potential reversal zones.
Upper Band: Blue line.
Middle Band: Black line (basis).
Lower Band: Blue line.
MAHI (Moving Averages on High): Two weighted moving averages on highs to detect trend direction.
MAHI 5: Green line.
MAHI 10: Lime line.
MALO (Moving Averages on Low): Two weighted moving averages on lows to confirm trend direction.
MALO 5: Red line.
MALO 10: Orange line.
EMA (50-period): Purple line to identify the overall trend.
Signal Labels: Appear on the chart when a setup is confirmed:
EXT Buy: Green upward arrow (reversal buy at BB lower band).
EXT Sell: Red downward arrow (reversal sell at BB upper band).
CSM Buy: Teal upward arrow (continuation buy above BB middle).
CSM Sell: Maroon downward arrow (continuation sell below BB middle).
RE Buy: Aqua upward arrow (re-entry buy between BB lower and middle).
RE Sell: Fuchsia downward arrow (re-entry sell between BB upper and middle).
MHV: Orange label (high volatility breakout after consolidation).
CSD: Yellow diamond (consolidation signal).
Subplot Table
Located at the bottom of the chart, the table summarizes signal status across three timeframes:
CTF (Current Timeframe): Shows "Active" (signal confirmed) or "Upcoming" (signal forming) for each setup.
LTF (Lower Timeframe): Displays a checkmark (✔) if the signal is confirmed on the LTF.
HTF (Higher Timeframe): Displays a checkmark (✔) if the signal is confirmed on the HTF.
Columns represent the five BBMA setups: EXT Buy, EXT Sell, CSD, CSM Buy, CSM Sell, RE Buy, RE Sell, and MHV.
Interpreting the Signals
1. EXT (Extreme) Setup
EXT Buy (Green Arrow):
Condition: Price touches or breaks below the BB lower band, closes above it, with high ATR volatility, strong volume, and additional confirmations (e.g., hammer candle, RSI oversold, MACD bullish, MAHI/MALO crossover, or bullish divergence).
Interpretation: A potential reversal buy signal. Look for confirmation in the subplot table (LTF and HTF rows).
Action: Consider a long position if LTF and HTF confirm (✔ in both rows). Use the BB middle or upper band as a target.
EXT Sell (Red Arrow):
Condition: Price touches or breaks above the BB upper band, closes below it, with high ATR volatility, strong volume, and additional confirmations (e.g., shooting star candle, RSI overbought, MACD bearish, MAHI/MALO crossunder, or bearish divergence).
Interpretation: A potential reversal sell signal.
Action: Consider a short position if LTF and HTF confirm. Use the BB middle or lower band as a target.
2. CSD (Consolidation) Setup
CSD (Yellow Diamond):
Condition: BB width is narrow (below its SMA), low ATR volatility, small candles, and no MAHI/MALO crossovers.
Interpretation: The market is consolidating, often preceding a breakout (e.g., MHV).
Action: Avoid trading during CSD unless preparing for an MHV breakout. Monitor the subplot for "Upcoming" MHV signals.
3. CSM (Continuation Setup Movement)
CSM Buy (Teal Arrow):
Condition: Price is above the BB middle, MAHI crossover, MALO crossover or MACD bullish, price above EMA 50, with additional confirmations (e.g., bullish engulfing or MACD bullish).
Interpretation: A continuation buy signal in an uptrend.
Action: Enter a long position if LTF and HTF confirm. Target the BB upper band or recent swing highs.
CSM Sell (Maroon Arrow):
Condition: Price is below the BB middle, MAHI crossunder, MALO crossunder or MACD bearish, price below EMA 50, with additional confirmations (e.g., bearish engulfing or MACD bearish).
Interpretation: A continuation sell signal in a downtrend.
Action: Enter a short position if LTF and HTF confirm. Target the BB lower band or recent swing lows.
4. RE (Re-Entry) Setup
RE Buy (Aqua Arrow):
Condition: Price is between the BB lower and middle bands, MAHI crossover, MALO crossover or MACD bullish, price above EMA 50, with additional confirmations (e.g., bullish engulfing or MACD bullish).
Interpretation: A re-entry buy signal after a pullback in an uptrend.
Action: Enter a long position if LTF and HTF confirm. Target the BB middle or upper band.
RE Sell (Fuchsia Arrow):
Condition: Price is between the BB upper and middle bands, MAHI crossunder, MALO crossunder or MACD bearish, price below EMA 50, with additional confirmations (e.g., bearish engulfing or MACD bearish).
Interpretation: A re-entry sell signal after a pullback in a downtrend.
Action: Enter a short position if LTF and HTF confirm. Target the BB middle or lower band.
5. MHV (Market High Volatility) Setup
MHV (Orange Label):
Condition: Follows a CSD signal, with expanding BB width, high ATR volatility, strong volume, and MAHI/MALO crossover or crossunder.
Interpretation: A breakout signal after consolidation, indicating high volatility and potential for a strong move.
Action: Trade in the direction of the breakout (e.g., buy if MAHI crossover, sell if MAHI crossunder). Confirm with LTF and HTF. Target significant levels like recent swing highs/lows.
6. Multi-Timeframe Confirmation
LTF Confirmation: A checkmark (✔) in the LTF row indicates the signal is also present on the lower timeframe (e.g., 5m). This adds confidence to the trade.
HTF Confirmation: A checkmark (✔) in the HTF row indicates alignment with the higher timeframe trend (e.g., 4h). This confirms the signal's strength.
Strongest Signals: Look for signals with both LTF and HTF confirmations (✔ in both rows). These have the highest probability of success.
7. Upcoming Signals
The CTF row in the subplot table may show "Upcoming" for a setup (e.g., EXT Buy: Upcoming). This indicates the setup is forming but not yet confirmed.
Action: Monitor these setups closely. They may turn "Active" on the next candle if conditions are met.
Trading Tips
Trend Alignment: Use the EMA 50 and market structure (is_uptrend) to ensure trades align with the overall trend. For example, prioritize CSM Buy signals in an uptrend.
Risk Management:
Set stop-losses below recent swing lows (for buys) or above recent swing highs (for sells).
Use the BB middle or opposite band as a target for most setups.
Avoid Overtrading: Focus on signals with LTF and HTF confirmations to filter out noise.
Timeframe Selection:
Scalping: Use 1m or 5m CTF with 1m LTF and 15m HTF.
Day Trading: Use 15m or 1h CTF with 5m LTF and 4h HTF.
Swing Trading: Use 4h or 1D CTF with 1h LTF and 1D HTF.
Backtesting: Test the indicator on historical data for your chosen asset and timeframe to understand its performance.
Alerts
The indicator includes built-in alerts for each setup:
EXT Buy/Sell: Triggers when an EXT signal is confirmed.
CSD: Triggers during consolidation.
CSM Buy/Sell: Triggers for continuation signals.
RE Buy/Sell: Triggers for re-entry signals.
MHV: Triggers for high volatility breakouts. To set up alerts:
Right-click on the chart and select "Add Alert."
Choose the condition (e.g., "BBMA EXT Buy").
Set your preferred notification method (e.g., email, SMS).
Limitations
Lagging Indicators: The indicator uses moving averages and other lagging tools, which may delay signals in fast-moving markets.
False Signals: Like all indicators, it can produce false signals, especially in choppy markets. Use LTF/HTF confirmations to filter trades.
Timeframe Dependency: Ensure your CTF, LTF, and HTF are properly aligned to avoid conflicting signals.
CandelaCharts - Fractal Range Model📝 Overview
The Fractal Range Model (FRM) is an all-encompassing and sophisticated trading framework that incorporates multiple market dynamics to provide a deeper understanding of price movements.
This model is built around several key principles, including Market Swing Points, Sweeps, Candle Mean, and Change in State of Delivery (CISD), which together offer a nuanced and effective approach to trading.
At its core, the model focuses on Market Swing Points, which represent crucial turning points in the market where price action shifts direction.
These points provide insight into potential reversals and momentum changes, allowing traders to identify key support and resistance areas.
Recognizing these swings is critical in anticipating future price movements and understanding the market’s underlying structure.
The Fractal Range Model (FRM) is a versatile trading strategy that adapts to various styles, whether you're into scalping, day trading, swing trading, or long-term investment. Its flexibility makes it suitable for traders with different time horizons and risk preferences, allowing it to be effectively applied across multiple market conditions.
📦 Features
Timeframe Alignment: This indicator reveals lower Timeframe movements within higher Timeframe candles, offering insights into micro trends, structure shifts, and key entry points.
Bias Selection: This feature lets analysts control bias and setup detection, viewing bullish, bearish, or neutral formations to align with higher Timeframe trends.
Double Purge Sweeps: A double purge is a type of Sweep where the price exceeds both the high and low of the previous candle (via wicks) and then closes within the range of the prior candle.
Time Filters: Sync Time and price by selecting custom Time windows to focus on relevant formations.
Higher Timeframe Candles: The Fractal Range Model integrates ICT Power of Three, helping traders spot key turning points and market transitions across Timeframes.
Higher Timeframe PD Arrays: The HTF PD Arrays (FVG, IFVG) are key points of interest that indicate significant market levels where valid sweeps are likely to occur.
Lower Timeframe PD Arrays: The LTF PD Arrays (FVG, IFVG), on the other hand, are used for identifying entry points.
Smart Money Technique: In the context of the Fractal Range Model (FRM), the SMT (Smart Money Technique) serves as a crucial confluence indicator that strengthens the reliability of a formed model.
Info Panel: Display a customizable table with key details like timeframe pairing, time to next candle close, bias, and time filter settings, with full control over size, location, and borders.
Suitable for any Market: Ideal for all markets - stocks, forex, crypto, futures, commodities and more - delivering consistent results and insights across diverse trading environments.
⚙️ Settings
Core
Status: Filter models based on status
Bias: Controls what model type will be displayed, bullish or bearish
Fractal: Controls the timeframe pairing will be used
Mean: Plots the equilibrium of the previous HTF candle
Liquidity: Displays the liquidity levels that belongs to the model
Sweep: Shows the sweep that forms a model
I-sweep: Controls the visibility of invalidated sweeps
D-purge: Plots the double purge sweeps
CISD: Displays the Change In State of Delivery for a model
Labels: Adjust the HTF candle label size
C-area: Highlights the region between current candle open and previous candle equilibrium
History
History: Controls the mount of past models displayed on the chart
Filters
Asia: Filter models based on Asia Killzone hours
London: Filter models based on London Killzone hours
NY AM: Filter models based on NY AM Killzone hours
NY Launch: Filter models based on NY Launch Killzone hours
NY PM: Filter models based on NY PM Killzone hours
Custom: Filter models based on user Custom hours
HTF
Candles: Controls the number of HTF candles that will be visible on the chart
Open: Highlights with a line the open price of current HTF candle
Show True Day Open: Display True Day Open line
Offset: Controls the distance of HTF from the current chart
Space: Controls the space between HTF candles
Size: Controls the size of HTF candles
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of PD Array
LTF
H/L Line: Displays on the LTF chart High and Low of each HTF candle
O/C Line: Displays on the LTF chart Open and Close of each HTF candle
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of PD Array
Projections
StDev: Controls standard deviation available levels
Labels: Controls the size of standard deviation levels
Anchor: Controls the anchor point of standard deviation levels (wick, body)
Lines: Controls the line widths and color of standard deviation levels
SMT
Show: Display SMT
Symbol: Symbol 1
Symbol: Symbol 2
Style: Controls the color of Bearish and Bullish SMTs
Dashboard
Panel: Display information about current model
💡 Framework
The model includes the following timeframe parings:
15s - 5m
1m - 15m
1m - 30m
2m - 20m
3m - 30m
3m - 60m
5m - 1H
15m - 4H
15m - 8H
30m - 9H
30m - 12H
1H - 1D
2H - 2D
3H - 3D
4H - 1W
8H - 2W
12H - 3W
1D - 1M
2D - 2M
1W - 3M
2W - 6M
3W - 9M
1M - 12M
The Fractal Range Model follows a specific lifecycle, which highlights the current state of the model and determines whether a trade opportunity is valid.
The model's lifecycle includes the following statuses:
Formation (grey)
Invalidation (red)
Success (green)
1. Formation
The Formation phase marks the initial setup of the Fractal Range Model. During this stage, the model identifies and plots key components, such as:
Sweeps: Market movements that indicate a potential reversal or strong shift in trend.
CISD (Change In State of Delivery): A structural change that provides insight into trend shifts.
Once these components are detected, the model automatically calculates and displays Projections and Liquidity Levels , offering insights into potential price action movements.
At this stage, the model also identifies and displays the following key elements:
HTF PD Arrays (Higher-Timeframe Price Delivery Arrays)
LTF PD Arrays (Lower-Timeframe Price Delivery Arrays)
Smart Money Technique (SMT)
If any of these elements are present, they will be automatically displayed on the chart.
2. Invalidation
A Fractal Range Model is considered invalidated when the price does not reach the 2 Standard Deviation level or the first identified liquidity level, and when the price breaks above the high that formed the Sweep.
Invalidation signals that the original setup is no longer reliable, and traders should avoid taking action based on the model's original parameters.
Key invalidation conditions:
Price fails to reach the 2 Standard Deviation level.
Price fails to reach the first liquidity level.
Price breaks the high/low that initiated the Sweep.
A potentially invalidated model is marked with a purple color above the label, indicating the sweep is invalidated by the next candle, but not the high that formed the sweep.
3. Success
A Fractal Range Model is considered successful when the price reaches the 2 Standard Deviation level or the first identified liquidity level. This indicates that the model's predictions align with actual market movements, confirming the setup's validity and providing a potential trading signal.
At this stage, alongside Projections and Liquidity levels, you'll also notice the C-area — the region between the current candle's open and the previous candle's mean. If respected, price action will follow the model's direction.
Key success conditions:
Price reaches the 2 Standard Deviation level.
Price reaches the first liquidity level.
By leveraging these phases, Formation, Invalidation, and Success, traders can effectively manage their positions, minimize risk, and capitalize on high-probability setups based on the Fractal Range Model.
⚡️ Showcase
Introducing Fractal Range Model is a powerful trading tool designed to elevate your market analysis and boost your trading success. Built with precision and advanced algorithms, this indicator helps you identify key trends, potential entry and exit points, and optimize your strategy for better decision-making.
History
HTF Candles
HTF PD Arrays
LTF PD Arrays
SMT
Unlock your full trading potential and experience the difference with Fractal Range Model — your ultimate tool for smarter, more informed trading decisions.
🚨 Alerts
This script offers alert options for all model types. The alerts need to be setup manually from Tradingview.
Bearish Model
A bearish model alert is triggered when a model forms, signaling a high sweep and CISD.
Bullish Model
A bullish model alert is triggered when a model forms, signaling a low sweep and CISD.
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Trend Detection
#### *Description:*
This *Trend Detection* indicator is designed to help traders identify and confirm trends in the market using a combination of moving averages, volume analysis, and MACD filters. It provides clear visual signals for uptrends and downtrends, along with customizable settings to adapt to different trading styles and timeframes. The indicator is suitable for both beginners and advanced traders who want to improve their trend-following strategies.
---
#### *Key Features:*
1. *Trend Detection:*
- Uses *Moving Averages (MA)* to determine the overall trend direction.
- Supports multiple MA types: *SMA (Simple), **EMA (Exponential), **WMA (Weighted), and **HMA (Hull)*.
2. *Advanced Filters:*
- *MACD Filter:* Confirms trends using MACD crossovers.
- *Volume Filter:* Ensures trends are supported by above-average volume.
- *Multi-Timeframe Filter:* Validates trends using a higher timeframe (e.g., Daily or Weekly).
3. *Visual Signals:*
- Plots a *trend line* on the chart to indicate the current trend direction.
- Fills the background with *green* for uptrends and *red* for downtrends.
4. *Customizable Settings:*
- Adjust the *MA lengths, **MACD parameters, and **confirmation thresholds* to suit your trading strategy.
- Control the transparency of the background fill for better chart readability.
5. *Alerts:*
- Generates *buy/sell signals* when a trend is confirmed.
- Alerts can be set to trigger at the close of a candle for precise entry/exit points.
---
#### *How to Use:*
1. *Adding the Indicator:*
- Copy and paste the Pine Script code into the TradingView Pine Script editor.
- Add the indicator to your chart.
2. *Configuring the Settings:*
- *Trend Settings:*
- Choose the *MA type* (e.g., EMA for faster response, HMA for smoother trends).
- Set the *Trend MA Period* (e.g., 200 for long-term trends) and *Filter MA Period* (e.g., 100 for medium-term trends).
- *Advanced Filters:*
- Enable/disable the *MACD Filter* and adjust its parameters (Fast, Slow, Signal).
- Enable/disable the *Volume Filter* to ensure trends are supported by volume.
- *Multi-Timeframe Filter:*
- Enable this filter to validate trends using a higher timeframe (e.g., Daily or Weekly).
3. *Interpreting the Signals:*
- *Uptrend:* The trend line turns *green*, and the background is filled with a transparent green color.
- *Downtrend:* The trend line turns *red*, and the background is filled with a transparent red color.
- *Alerts:* Buy/sell signals are generated when the trend is confirmed.
4. *Using Alerts:*
- Set up alerts for *Buy Signal* (bullish reversal) and *Sell Signal* (bearish reversal).
- Alerts can be configured to trigger at the close of a candle for precise execution.
---
#### *Settings and Their Effects:*
1. *MA Type:*
- *SMA:* Smooth but lagging. Best for long-term trends.
- *EMA:* Faster response to price changes. Suitable for medium-term trends.
- *WMA:* Gives more weight to recent prices. Useful for short-term trends.
- *HMA:* Combines speed and smoothness. Ideal for all timeframes.
2. *Trend MA Period:*
- A longer period (e.g., 200) identifies long-term trends but may lag.
- A shorter period (e.g., 50) reacts faster but may produce false signals.
3. *Filter MA Period:*
- Acts as a secondary filter to confirm the trend.
- A shorter period (e.g., 50) provides tighter confirmation but may increase noise.
4. *MACD Filter:*
- Ensures trends are confirmed by MACD crossovers.
- Adjust the *Fast, **Slow, and **Signal* lengths to match your trading style.
5. *Volume Filter:*
- Ensures trends are supported by above-average volume.
- Reduces false signals during low-volume periods.
6. *Multi-Timeframe Filter:*
- Validates trends using a higher timeframe (e.g., Daily or Weekly).
- Increases reliability but may delay signals.
7. *Confirmation Value:*
- Sets the minimum percentage deviation from the trend MA required to confirm a trend.
- A higher value (e.g., 2.0%) reduces false signals but may delay trend detection.
8. *Confirmation Bars:*
- Sets the number of bars required to confirm a trend.
- A higher value (e.g., 5 bars) ensures sustained trends but may delay signals.
---
#### *Who Should Use This Indicator?*
1. *Trend Followers:*
- Traders who focus on identifying and riding long-term trends.
- Suitable for *swing traders* and *position traders*.
2. *Day Traders:*
- Can use shorter MA periods and faster filters (e.g., EMA, HMA) for intraday trends.
3. *Volume-Based Traders:*
- Traders who rely on volume confirmation to validate trends.
4. *Multi-Timeframe Traders:*
- Traders who use higher timeframes to confirm trends on lower timeframes.
5. *Beginners:*
- Easy-to-understand visual signals and alerts make it beginner-friendly.
6. *Advanced Traders:*
- Customizable settings allow for fine-tuning to match specific strategies.
---
#### *Example Use Cases:*
1. *Long-Term Investing:*
- Use a *200-period SMA* with a *Daily* higher timeframe filter to identify long-term trends.
- Enable the *Volume Filter* to ensure trends are supported by strong volume.
2. *Swing Trading:*
- Use a *50-period EMA* with a *4-hour* higher timeframe filter for medium-term trends.
- Enable the *MACD Filter* to confirm trend reversals.
3. *Day Trading:*
- Use a *20-period HMA* with a *1-hour* higher timeframe filter for short-term trends.
- Disable the *Volume Filter* for faster signals.
---
#### *Conclusion:*
The *Trend Detection* indicator is a versatile tool for traders of all levels. Its customizable settings and advanced filters make it suitable for various trading styles and timeframes. By combining moving averages, volume analysis, and MACD filters, it provides reliable trend signals with minimal lag. Whether you're a beginner or an advanced trader, this indicator can help you make better trading decisions by identifying and confirming trends in the market.
---
#### *Publishing on TradingView:*
- *Title:* Trend Detection with Advanced Filters
- *Description:* A powerful trend detection tool using moving averages, volume analysis, and MACD filters. Suitable for all trading styles and timeframes.
- *Tags:* Trend, Moving Averages, MACD, Volume, Multi-Timeframe
- *Category:* Trend-Following
- *Access:* Public or Private (depending on your preference).
---
Let me know if you need further assistance or additional features!
Whale Activity Tracker Enhanced"Whale Activity Tracker Enhanced: Multi-Timeframe Adaptive Trading Signals"
Description:
The Whale Activity Tracker Enhanced (WAT+) is an innovative, multi-dimensional indicator designed to detect and visualize significant market moves likely driven by large players ("whales"). It combines volume analysis, price action, volatility, and momentum to provide traders with a comprehensive view of potential high-impact market events.
Key Features:
1. Adaptive Volume Spike Detection: Dynamically adjusts to market conditions, identifying unusual volume surges relative to recent activity.
2. Multi-Factor Confirmation: Combines volume spikes with price movements, RSI levels, and volatility measures for higher-probability signals.
3. Liquidity Grab Detection: Identifies potential stop-loss raids and liquidity sweeps through wick-to-body ratio analysis.
4. Customizable Signal Strength: Provides a visual representation of signal intensity, allowing traders to focus on the most significant events.
5. Flexible Timeframe Usage: Optimized settings for both scalp and swing trading, making it versatile across different trading styles.
How It Works:
- Volume Spike Analysis: Compares current volume to a user-defined multiple of the average volume.
- Price Move Threshold: Flags significant percentage price changes to filter out minor fluctuations.
- RSI Integration: Uses RSI to identify potential overbought/oversold conditions coinciding with other signals.
- Volatility Measurement: Incorporates ATR to detect periods of increased market volatility.
- Wick Analysis: Detects potential liquidity grabs by analyzing the ratio of candle wicks to bodies.
Originality:
Unlike standard volume or price action indicators, WAT+ synthesizes multiple market factors to provide a holistic view of potential whale activity. Its adaptive nature and customizable parameters allow it to work across various market conditions and trading styles.
Usage Guide:
1. Scalp Trading Setup:
- Use shorter lookback periods (12-15 bars) and tighter RSI levels (75/25).
- Focus on quick, high-probability trades triggered by volume spikes and price moves.
- Utilize the signal strength indicator for entry confirmation.
2. Swing Trading Setup:
- Extend lookback periods (20-30 bars) and use standard RSI levels (70/30).
- Look for sustained signals over multiple candles for trend confirmation.
- Combine with broader market trend analysis for higher-probability setups.
3. General Tips:
- Use the info panel to analyze the components of each signal.
- Adjust volume and price thresholds based on the specific asset's volatility.
- Combine with support/resistance levels for optimal entry and exit points.
By providing a multi-faceted approach to market analysis, the Whale Activity Tracker Enhanced empowers traders to identify and capitalize on significant market moves across various timeframes and trading styles.
Swing Trading Settings:
General Settings
Lookback Period: 20 to 30 bars. This provides a smoother signal and better context for swing trading.
Volume Spike Multiplier: 2.5 to 3.0. Higher thresholds ensure only significant volume spikes are considered.
Price Move % Threshold: 2.0 to 3.0%. Larger price move thresholds align with swing trading objectives.
RSI Period: 14 to 21. Longer periods smooth out short-term fluctuations.
RSI Overbought/Oversold Levels: 70/30. These levels work well for identifying potential reversals in swing trading.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: True (important for identifying strong trends)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: True (useful for detailed analysis of swing setups)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Parameters
ATR Period: 14 to 20. This helps identify volatility and set stop-loss levels.
Wick-to-Body Ratio: 2.0 or higher. This ensures only significant liquidity grabs are flagged.
Signal Strength Smoothing: 3 to 5 bars for steadier signals.
Scalp Trading:
General Settings
Lookback Period: 12 to 15 bars. This allows for a balance between responsiveness and noise reduction.
Volume Spike Multiplier: 2.0 to 2.2. This setting helps detect significant volume spikes without overreacting to minor fluctuations.
Price Move % Threshold: 1.0 to 1.2%. This captures substantial price movements suitable for scalp trading.
RSI Period: 7 to 9. Shorter periods provide quicker signals, ideal for scalp trading.
RSI Overbought/Oversold Levels: 75/25. Tighter levels help identify potential reversals sooner.
Signal Detection
Enable Volume Spike Signal: True
Enable Price Move Signal: True
Enable Volatility Signal: False (optional, depends on market conditions)
Enable Liquidity Grab Signal: True
Visualization
Show Volume Threshold Line: True
Show Signal Strength: True
Show Info Panel: False (optional, for cleaner charts)
Colors
Bullish Color: Green
Bearish Color: Red
Liquidity Color: Purple
Additional Tips
ATR Period: Keep it around 14 for volatility assessment.
Wick-to-Body Ratio: Adjust to 1.8 or higher for clearer liquidity grabs.
Signal Strength Smoothing: Use 2 to 3 bars for a responsive yet stable signal.
BUY & SELL Dynamic DCA StrategyOverview
The BUY & SELL Dynamic DCA Strategy is a versatile Pine Script indicator designed for traders seeking a robust Dollar Cost Averaging (DCA) approach to manage both long and short positions across various market conditions and timeframes. This innovative tool combines breakout-based level initiation with a dynamic volatility adjustment, enabling traders to enter positions at optimal DCA points, average them strategically, and manage risk with adjustable stop-loss and take-profit levels. Ideal for scalping on short timeframes (1-minute, 5-minute) or swing trading on longer ones (15-minute, 1-hour, 4-hour).
Purpose and Originality
The "BUY & SELL Dynamic DCA Strategy" stands out by integrating several trading concepts into a cohesive, trader-friendly system. While it leverages familiar elements like breakout points and ATR (Average True Range), its originality lies in:
Dynamic Volatility Adjustment: A custom volatility factor, derived from a capped ATR calculation, dynamically scales DCA entry, averaging, and stop-loss levels. This ensures the strategy adapts to market conditions, tightening in low volatility for scalping and widening in high volatility for swing trading.
Dual-Direction DCA: Supports both buy (long) entries on pullbacks and sell (short) entries on rallies, with tailored averaging and exit strategies for each.
Timeframe Versatility: Adjusts its sensitivity based on the chart timeframe, making it suitable for rapid scalping or longer-term trend riding without requiring manual recalibration.
This unique synthesis justifies its publication as a invite-only script, offering a practical tool that enhances traditional DCA methods with adaptive precision.
How It Works
The indicator operates through a multi-step process designed to optimize entry, averaging, and exit points:
1. Initial Level Setting:
Utilizes high and low threshold (calculated over a user-defined period) to establish initial DCA entry levels. If no threshold is detected, it defaults to the previous bar’s price, ensuring immediate applicability.
2. Dynamic DCA Entry:
Entry levels are adjusted using a proprietary volatility factor, which scales the distance from the current price. Long entries trigger when the price falls below this level, while short entries trigger when the price rises above it, with a volume confirmation filter to reduce noise.
3. Averaging Mechanism:
A secondary level (Averaging Level) allows traders to add to their position when the price moves further against the trade (down for longs, up for shorts). This level is also volatility-adjusted, providing a structured cost-reduction strategy.
4. Risk and Reward Management:
A Final Stop-Loss (Final SL) is set farther out, calculated as a multiple of the volatility-adjusted risk distance, offering protection after averaging.
Take-Profit (TP) levels are determined using a user-defined risk-to-reward ratio, ensuring a balanced exit strategy tailored to market movement.
5. Performance Tracking:
A real-time win/loss table in the top-right corner records trade outcomes, with wins and losses color-coded based on the trade direction (green/red for long, red/green for short), aiding performance evaluation.
Features
1. Dual-Mode Operation : Facilitates both long entries on price dips and short entries on price surges, adaptable to bullish and bearish markets.
2. Volatility-Adaptive Levels: Employs a custom ATR-based adjustment to scale entry, averaging, and stop-loss levels, enhancing responsiveness across timeframes.
3. Visual Tools: Features dashed lines and labels for DCA Entry (green for long, red for short), Final SL (red), and TP (cyan), with debug labels for entries and averages.
4. Timeframe Flexibility: Automatically adjusts threshold periods and volatility factors based on the chart timeframe (1m, 5m, 15m, 1h, 4h), optimizing for scalping or swing trading.
5. Customizable Parameters: Allows fine-tuning of period, DCA factors, and visibility options.
Settings
Base Length (default: 10): Base period for pivot calculations, scaled by timeframe (e.g., 10 becomes 20 on 5m).
Type: 'Wicks' (high/low) or 'Body' (open/close) for price-based levels.
RR Ratio (default: 1.2): Risk-to-reward ratio for TP calculation.
DCA Entry Factor (default: 1.0): Multiplier for volatility-adjusted DCA entry distance.
Avg Level Factor (default: 2.0): Multiplier for averaging level distance.
Final SL Factor (default: 3.0): Multiplier for final stop-loss distance.
SL Type: 'Close' or 'High/Low' for stop-loss evaluation.
Show DCA Entry, Show Avg Level, Show Final SL: Toggle visibility of respective lines.
Show Win/Loss Table: Enable/disable performance tracking.
Line Style: Select 'Solid', 'Dashed', or 'Dotted'.
Usage Instructions
1. Application:
Add the "BUY & SELL Dynamic DCA Strategy - JOAT" via the Pine Editor or community scripts on TradingView.
2. Configuration:
Scalping (1m, 5m): Set Base Length to 5-10, use a low DCA Entry Factor (0.5-1.0) for tight entries, and a Final SL Factor of 2.0-3.0.
Swing Trading (15m, 1h, 4h): Increase Base Length to 15-20, use a higher DCA Entry Factor (1.0-2.0), and set Final SL Factor to 3.0-4.0 for wider stops.
Enable visual elements and adjust Line Style as preferred.
3. Signal Interpretation:
Long Trade: A green dashed "DCA Entry" line below the price triggers a "Long Entry" label on crossover down.
Short Trade: A red dashed "DCA Entry" line above the price triggers a "Short Entry" label on crossover up.
Averaging: A yellow "Avg" label (long) or magenta "Avg" label (short) appears at the respective averaging level.
Exits: TP (cyan) for wins, Final SL (red) for losses, tracked in the win/loss table.
Trade Management:
Scalping: Use 1m/5m for quick trades, averaging as price moves against you.
Swing Trading: Use 15m/1h/4h to capture trends, averaging for cost adjustment.
Manually adjust position size for averaging based on risk tolerance.
5. Performance Monitoring:
The top-right table updates with wins (green/red) and losses (red/green) per trade type, helping assess strategy effectiveness.
Limitations
Manual Averaging: Requires manual position size adjustment at the Averaging Level; automation is not included.
Timeframe Sensitivity: May require parameter tuning for optimal performance across 1m to 4h.
No Trend Filter: Sideways markets may generate noise; adding a trend indicator could enhance accuracy (future development).
Initialization Delay: First trade may be delayed until a pivot is detected, using the current price as a fallback.
Originality Justification
The custom volAdj method, which caps ATR at a percentage of price and scales it by timeframe, offering a unique volatility adjustment not found in standard indicators.
The dual-direction DCA with averaging, combining long and short strategies with volatility-modulated levels, providing a comprehensive trading framework.
The timeframe-adaptive design, automatically adjusting pivot periods and volatility factors, making it a versatile tool across scalping and swing trading.
Smart Buy/Sell Signal IndicatorOverview
The Smart Buy/Sell Signal Indicator is a multi-factor trading tool that i ntegrates Supertrend, Bollinger Bands, RSI, ADX, and Moving Averages to generate high-probability buy and sell signals. Unlike simple crossover-based strategies, this indicator leverages multiple layers of confirmation to reduce false signals and improve trade execution accuracy.
This indicator is designed for trend-following traders, scalpers, and swing traders, helping them identify key reversal points and momentum shifts with precise breakout conditions.
How It Works
The Smart Buy/Sell Signal Indicator filters out weak trade signals by combining trend, volatility, momentum, and strength indicators in the following manner:
✅ Supertrend-Based Trend Filtering:
• The script checks if the price is above or below the Supertrend level before confirming a buy or sell signal.
• Buy signals occur below the Supertrend Down level, confirming support.
• Sell signals occur above the Supertrend Up level, confirming resistance.
✅ Bollinger Bands for Overbought & Oversold Conditions:
• Buy signals are confirmed when price touches the Bollinger Lower Band (suggesting oversold conditions).
• Sell signals are confirmed when price touches the Bollinger Upper Band (suggesting overbought conditions).
• This ensures that trades occur at high-probability reversal zones, rather than random price action.
✅ RSI Momentum Confirmation:
• Buy trades trigger when RSI is below 50 (indicating strength building from an oversold region).
• Sell trades trigger when RSI is above 50 (indicating weakness forming in an overbought region).
• This ensures signals are momentum-backed and not counter-trend moves.
✅ ADX Strength Confirmation:
• The script filters signals using the ADX (Average Directional Index) to ensure that only trades with sufficient market strength are executed.
• If the ADX value is below a threshold (default: 15), the signal is ignored to prevent false breakouts in choppy markets.
✅ Confirmation Moving Average (MA) for Trend Validation:
• The script applies an additional confirmation filter using a Moving Average (SMA/EMA).
• Buy signals trigger only when the price is above the MA, aligning with trend direction.
• Sell signals trigger only when the price is below the MA, ensuring alignment with the broader market structure.
✅ Trade Cooldown Mechanism (Minimum Bars Between Signals):
• To avoid frequent signals in sideways markets, a cooldown period is implemented.
• Default: 5 bars between signals (adjustable).
• Prevents rapid consecutive trades, reducing false entries.
Key Features
✔️ Supertrend & Moving Average Confirmation – Ensures trades are taken only in the correct trend direction.
✔️ Bollinger Bands Integration – Helps identify high-probability reversal zones.
✔️ ADX Strength Filtering – Ensures trades are only executed when the market has enough strength.
✔️ Momentum-Based RSI Filtering – Avoids counter-trend trades and confirms directional strength.
✔️ Trade Cooldown Mechanism – Reduces overtrading and noise in sideways markets.
✔️ Webhook Alerts for Automation – Auto-execute trades or receive real-time notifications.
✔️ Customizable Inputs – Adjustable thresholds, EMA/SMA length, ADX filter, cooldown period for flexibility.
✔️ Works Across Multiple Timeframes – Suitable for scalping (5m, 15m), swing trading (1H, 4H), and position trading (Daily).
How to Use
📌 Scalping & Intraday Trading:
• Use on 5m, 15m, or 30m timeframes.
• Look for Bollinger Band touch + RSI confirmation + Supertrend support/resistance validation before entering trades.
📌 Swing Trading:
• Use on 1H or 4H timeframes.
• Enter only when ADX is strong and price aligns with Supertrend direction.
📌 Webhook Automation:
• Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Why This Combination?
This indicator is not just a simple moving average crossover tool.
It is designed to filter out weak breakouts and only execute trades that have:
✅ Trend confirmation (Supertrend + Moving Average)
✅ Volatility filtering (Bollinger Bands for overbought/oversold confirmation)
✅ Momentum validation (RSI threshold filtering)
✅ Market strength requirement (ADX ensures sufficient momentum)
This multi-layered approach ensures that only the highest-quality setups are executed, improving both win rate and reliability.
Why It’s Worth Using?
🚀 Reduces False Breakouts – Avoids weak breakouts by requiring ADX confirmation.
🚀 Works in All Market Conditions – Trend-following logic for trending markets, volatility-based entries for reversals.
🚀 Customizable to Any Trading Style – Adjustable parameters for trend, momentum, and strength filtering.
🚀 Seamless Webhook Automation – Execute trades automatically with TradingView alerts.
🚀 Ready to trade smarter?
✅ Add the Smart Buy/Sell Signal Indicator to your TradingView chart today! 🎯🔥
ZenAlgo - Heavy DeltaThe ZenAlgo - Heavy Delta indicator is a comprehensive technical analysis tool designed for traders seeking a deeper understanding of market dynamics. It combines multiple advanced sub-indicators, including Order Blocks, Moving Averages, VWAP, and Delta Volume analysis, and more to provide actionable insights. This indicator is particularly useful for identifying potential trade entries and exits based on institutional order flow and price action patterns.
Features
Order Block Detection: Identifies bullish and bearish order blocks with detailed visualization and volume analysis.
VWAP (Volume Weighted Average Price): Tracks the average price of a security weighted by volume over various anchor periods.
Moving Averages (MA): Customizable MAs (13, 21, 50, 200 periods) to detect trends and momentum shifts.
Daily Open and Monday Range: Highlights key levels like daily open and intraday/multi-day high-low ranges for better price context.
Delta Volume Analysis: Measures the net difference between buying and selling volume for market sentiment insights.
Divergence Detection: Detects regular and hidden bullish/bearish divergences for trend reversal opportunities.
Visual Alerts: Displays intuitive symbols for potential buy/sell signals and key price levels.
Added Value: Why Is This Indicator Original/Why Shall You Pay for This Indicator?
The ZenAlgo - Heavy Delta indicator offers a distinct advantage by integrating multiple analysis techniques into one cohesive tool. While many individual indicators are freely available, this script goes beyond simple overlays to provide an advanced analytical framework. Here’s why it stands out:
1. Synergy of Indicators
Order Blocks: These are not static; the indicator dynamically calculates zones where institutional activity likely occurred, supported by volume-weighted metrics.
Delta Volume Analysis: Freely available delta volume tools typically show raw data, but this script filters noise, categorizes volume into meaningful up/down segments, and integrates it with other signals for context.
VWAP and Moving Averages: VWAP and customizable MAs are enhanced with divergence checks, color-coded trends, and market state classifications. This integration helps confirm trends and reversals with higher precision.
2. Volume-Based Insights
Traditional volume indicators often fail to show the "intent" behind price moves. This script combines delta volume and order block data to highlight areas of significant buying or selling pressure and their potential impacts on future price action.
3. Visual Simplicity with Advanced Logic
Unlike using several separate tools, which can clutter your chart, this indicator presents a streamlined interface. Every plotted element serves a clear purpose, minimizing distractions while maximizing actionable insights.
4. Customized for Active Traders
The indicator doesn’t just provide standard calculations. It includes proprietary adjustments like mitigation thresholds in order blocks, percentage-based signals for VWAP, and delta volume intensity levels that align better with active market conditions.
5. Why Pay for It?
Time and effort savings: Instead of setting up and calibrating multiple tools, this indicator combines them into a single efficient package.
Enhanced accuracy: Each sub-indicator validates the others, reducing false signals.
Unique features: For instance, the script automatically adjusts for multi-timeframe inconsistencies and uses gradient color fills to convey volume strength in order blocks—a feature absent in free indicators.
How It Works
The indicator combines individual sub-indicators into a logical framework where each part contributes to the overall analysis. Here’s how each feature operates:
1. Order Blocks
Identification: Uses specific price action patterns to locate zones of likely institutional interest (bullish or bearish blocks).
Dynamic Updates: The blocks adjust as new price data comes in, ensuring their relevance. Volume within these zones is weighted, helping assess their strength and potential price reactions.
Visual Enhancements: Blocks are color-coded and filled with gradients based on volume intensity, providing immediate visual cues about their importance.
2. VWAP (Volume Weighted Average Price)
Calculation: Anchored to user-selected periods (daily, weekly, etc.), VWAP is recalculated in real-time, showing the "fair" price based on traded volume.
Integration: Acts as a dynamic support/resistance line, particularly useful in intraday and swing trading. Labels provide percentage deviation for quick interpretation.
3. Moving Averages (MAs)
Customization: Supports various types (EMA, SMA, etc.) and lengths (13, 21, 50, 200). Traders can configure these to suit their strategies.
Market Status: By comparing the price to these MAs, the indicator classifies the market as Full Bull, Bullish, Neutral, Bearish, or Full Bear. This high-level summary helps traders quickly gauge market sentiment.
4. Delta Volume
Core Logic: Calculates the net difference between buying and selling pressure (volume) for each candle.
Visual Signals: Plots symbols when significant delta volume changes coincide with other indicator signals, like divergence or order block activity.
5. Daily Open and Monday Range
Purpose: Identifies key psychological levels like the daily open and the high/low range for the first trading day of the week.
Context: Highlights these levels with dynamic percentage changes, helping traders understand how price is behaving relative to them.
6. Divergence Detection
Logic: Tracks discrepancies between price movement and momentum (via Moving Averages, Delta Volume, and Order Blocks). These divergences often precede reversals.
Validation: Divergences are only flagged when other features, like delta volume shifts or order block interactions, confirm the setup.
By combining these tools in a meaningful way, ZenAlgo - Heavy Delta transforms raw data into actionable intelligence, giving traders a comprehensive view of market dynamics and a significant edge in decision-making.
Why Use Heikin Ashi for Heavy Delta?
The ZenAlgo - Heavy Delta indicator is optimized for Heikin Ashi (HA) candles, which smooth out market noise and make trends more visually apparent. Heikin Ashi works best for this strategy for several key reasons:
Why Heikin Ashi Works Best
Trend Clarity: Unlike traditional candlesticks, Heikin Ashi averages price data to create smoother transitions. This helps the indicator better identify sustained trends and reduces false signals caused by short-term price fluctuations.
Noise Reduction: HA candles filter out minor fluctuations and emphasize the overall market direction, making it easier to align the indicator’s signals (like Delta Volume and Order Blocks) with larger market movements.
Improved Visual Insights: Features like Order Blocks and Delta Volume align well with Heikin Ashi's smoothed representation, as it avoids the erratic movements that traditional candles sometimes display.
Better Support for Trend Strategies: Heikin Ashi candles naturally highlight key reversals and continuation patterns, which complement the analytical goals of this indicator.
Important Notes About Heikin Ashi:
Synthetic Nature of HA Candles: Heikin Ashi values are calculated differently than traditional candles. For example: a) The open is the average of the prior candle's open and close. b) The close is the average of the high, low, open, and close. This synthetic nature means that HA candles do not reflect actual market prices but rather smoothed averages, which can slightly lag real-time price movements.
Lagging Effect: Because HA candles use averaged data, they can lag behind actual price action. This is beneficial for identifying trends but less effective for precise entry/exit timing.
Inaccuracy in Low Volatility: In low-volume or low-volatility conditions, HA candles may distort actual price dynamics, leading to less reliable insights.
No Direct Alerts or Buy/Sell Signals : Issuing explicit buy or sell signals based on Heikin Ashi candles is not possible due to their averaged, synthetic nature. As such, the ZenAlgo - Heavy Delta indicator does not generate direct trading signals. Instead, the indicator is a decision-support tool that provides insights into trends, volume dynamics, and potential key levels, leaving trade execution to the trader's discretion.
Usage Examples
Trend Confirmation: Use the MA market status to identify if the market is in a Full Bull or Bear state.
Reversal Zones: Monitor order block zones for price rejection or absorption, signaling a potential reversal.
Breakout Trading: Trade breakouts when price surpasses VWAP or Monday Range highs/lows.
Delta Divergence: Look for positive/negative delta volume divergences during consolidations for breakout cues.
Mean Reversion: Use VWAP or MAs as dynamic support/resistance for mean reversion setups.
Intraday Scalping: Utilize daily open and intraday levels for short-term trades.
Swing Trading: Employ order blocks and multi-day ranges to frame swing trade setups.
Volume Climax: Identify volume spikes using Delta Volume to confirm trend continuation or reversal.
Momentum Trading: Combine divergence signals with Delta Volume for high-conviction entries.
Risk Management: Use defined order block boundaries to set stop losses and targets.
Settings
Order Blocks: Customize label visibility, label offsets, and block appearance.
VWAP: Adjust anchor period and toggle visibility.
Moving Averages: Configure length, type (EMA, SMA, etc.), and visibility of MAs (13, 21, 50, 200).
Delta Volume: Enable/disable delta symbols and labels, adjust sensitivity multipliers.
Daily Open/Monday Range: Toggle visibility and customize display preferences.
General Visuals: Adjust label offsets, color schemes, and transparency.
Important Notes
This indicator is a technical analysis tool and does not guarantee trading success.
Use it in conjunction with other indicators and fundamental analysis for a more comprehensive trading strategy.
Performance may vary in low-liquidity markets or during sudden news events.
Divergence signals might fail in strongly trending markets.
Integrated Market Analysis IndicatorThe Integrated Market Analysis Indicator is designed to provide traders with a macro perspective on market conditions, focusing on the S&P 500 (SPX) and market volatility (VIX), to assist in swing trading decisions. This script integrates various technical indicators and market health metrics to generate scores that help in assessing the overall market trend, potential breakout opportunities, and mean reversion scenarios. It is tailored for traders who wish to align their individual stock or index trades with broader market movements.
Functionality:
Trend Analysis: The script analyzes the trend of the S&P 500 using moving averages (5-day SMA, 10-day EMA, 20-day EMA) to determine whether the market is in an uptrend, downtrend, or neutral state. This provides a foundation for understanding the general market direction.
Volatility Assessment: It uses the VIX to gauge market volatility, which is crucial for risk management. The script calculates thresholds based on the 20-day SMA of the VIX to categorize the market volatility into low, medium, or high.
Market Breadth: The advance/decline ratio (A/D ratio) from the USI:ADVQ and USI:DECLQ indices gives an indication of market participation, helping to understand if the market movement is broad-based or led by a few stocks.
Scoring System: Three scores are calculated:
Trend Score: Evaluates the market trend in conjunction with volume, market breadth, and VIX to assign a grade from 'A' to 'D'.
Breakout Score: Assesses potential breakout conditions by looking at price action relative to dynamic support/resistance levels, short-term momentum, and volume.
Mean Reversion Score: Identifies conditions where mean reversion might occur, based on price movement, volume, and high VIX levels, indicating potential overbought or oversold conditions.
Risk Management: Position sizing recommendations are provided based on VIX levels and the calculated scores, aiming to adjust exposure according to market conditions.
How to Use the Script:
Application: Apply this indicator on any stock or index chart in TradingView. Since it uses data from SPX and VIX, the scores will reflect the macro environment regardless of the underlying chart.
Interpreting Scores:
Trend Score: Use this to gauge the overall market direction. An 'A' score might suggest a strong uptrend, making it a good time for bullish trades, while a 'D' could indicate a bearish environment.
Breakout Score: Look for 'A' scores when considering trades that aim to capitalize on breakouts. A 'B' might suggest a less certain breakout, requiring more caution.
Mean Reversion Score: A 'B' or 'A' here might be a signal to look for trades where you expect the price to revert to the mean after an extreme move.
Risk Management: Use the suggested position sizes ('Normal Size', '1/3 Size', '1/4 Size', '1/10 Size') to manage your risk exposure. Higher VIX levels or lower scores suggest reducing position sizes to mitigate risk.
Visual Cues: The script plots various SMAs, EMAs, and dynamic support/resistance levels, providing visual indicators of where the market might find support or resistance, aiding in entry and exit decisions.
How NOT to Use the Script:
Not for Intraday Trading: This indicator is designed for swing trading, focusing on daily or longer timeframes. Using it for intraday trading might not provide the intended insights due to its macro focus.
Avoid Over-reliance: While the script provides valuable insights, do not rely solely on it for trading decisions. Always consider additional analysis, news, and fundamental data.
Do Not Ignore Individual Stock Analysis: Although the script gives a macro view, individual stock analysis is crucial. The macro conditions might suggest a trend, but stock-specific factors could contradict this.
Not for High-Frequency Trading: The script's logic and the data it uses are not optimized for high-frequency trading strategies where microsecond decisions are made.
Misinterpretation of Scores: Do not misinterpret the scores as absolute signals. They are guidelines that should be part of a broader trading strategy.
Logic Explanation:
Moving Averages: The script uses different types of moving averages to smooth out price data, providing a clearer view of the trend over short to medium-term periods.
ATR for Volatility: The Average True Range (ATR) is used to calculate dynamic support and resistance levels, giving a sense of how much price movement can be expected, which helps in setting realistic expectations for price action.
VIX for Risk: By comparing current VIX levels to its 20-day SMA, the script assesses market fear or complacency, adjusting risk exposure accordingly.
Market Breadth: The A/D ratio helps to understand if the market movement is supported by a broad base of stocks or if it's narrow, which can influence the reliability of the trend.
This indicator should be used as part of a comprehensive trading strategy, providing a macro overlay to your trading decisions, ensuring you're not fighting against the broader market trends or volatility conditions. Remember, while it can guide your trading, always integrate it with other forms of analysis for a well-rounded approach.
EBL - Enigma BOS Logic Select Higher Time FrameThe "EBL – Enigma BOS Logic" is a unique multi-timeframe trading indicator designed for traders who rely on structured price action and key level retests to find high-probability trade opportunities. This indicator automates the identification of significant price levels on a higher timeframe, plots them across all lower timeframes, and provides actionable signals (buy/sell) when price retests those levels. It is ideal for traders who focus on lower timeframes for precise entries while using higher timeframe structure for trend confirmation.
How the Indicator Works
Key Level Detection:
The indicator allows the user to select a key level timeframe (e.g., 1H, 4H, Daily, Weekly). It then identifies Break of Structure (BOS) levels on the selected timeframe.
When a bullish-to-bearish or bearish-to-bullish reversal is detected on the selected timeframe, the corresponding high or low of the reversal candle is stored as a key level.
These key levels are plotted as horizontal lines on all lower timeframes, helping the trader visualize critical support and resistance zones across multiple timeframes.
Retest Confirmation:
Once a key level is established, the indicator continuously monitors the price action on lower timeframes.
If the price touches or crosses a key level, it is considered a retest, and an alert is generated.
The indicator plots a retest marker (customizable as a circle or diamond) at the exact price level where the retest occurred, providing a clear visual cue for the trader.
Trading Signals:
When a retest is detected, a table is displayed on the chart with the following information:
The trading pair.
The signal direction (Buy/Sell).
The price at which the retest occurred.
This table gives traders instant insight into actionable opportunities, making it easier to focus on live market conditions without missing critical retests.
Key Features
Multi-Timeframe Analysis: The indicator focuses on a higher timeframe selected by the user, ensuring that only the most relevant key levels are plotted for lower timeframe trading.
Dynamic Retest Signals: It dynamically identifies when price retests a key level and provides both visual markers and real-time alerts.
Customizable Retest Markers: Users can customize the retest marker's shape (circle/diamond) and color to suit their preferences.
Signal Table: A built-in table displays clear buy or sell signals when retests occur, ensuring that traders have all the necessary information at a glance.
Alerts: The indicator supports real-time alerts for retests, helping traders stay informed even when they are not actively monitoring the chart.
How to Use the Indicator
Select a Key Level Timeframe:
In the input settings, choose a higher timeframe (e.g., 4H or Daily) to define key levels.
The indicator will calculate Break of Structure (BOS) levels on the selected timeframe and plot them as horizontal lines across all lower timeframes.
Monitor Lower Timeframes for Retests:
Switch to a lower timeframe (e.g., 15m, 5m) to wait for price to approach the key levels plotted by the indicator.
When a retest occurs, observe the signal table and retest marker for actionable trade signals.
Act on Buy/Sell Signals:
Use the information provided by the signal table to make trading decisions.
For a buy signal, wait for bullish confirmation (e.g., price holding above the retested level).
For a sell signal, wait for bearish confirmation (e.g., price holding below the retested level).
Trading Concepts and Underlying Logic
The indicator is based on the Break of Structure (BOS) concept, a core principle in price action trading. BOS levels represent points where the market shifts its trend direction, making them critical zones for potential reversals or continuations.
By focusing on higher timeframe BOS levels, the indicator helps traders align their lower timeframe entries with the overall market trend.
The concept of retests is used to confirm the validity of a key level. A retest occurs when the price returns to a previously identified BOS level, offering a high-probability entry point.
Use Cases
Scalping: Traders who prefer lower timeframe scalping can use the indicator to align their trades with higher timeframe key levels, increasing the likelihood of successful trades.
Swing Trading: Swing traders can use the indicator to identify key reversal zones on higher timeframes and plan their trades accordingly.
Intraday Trading: Intraday traders can benefit from the real-time alerts and signals generated by the indicator, ensuring they never miss critical retests during active trading hours.
Conclusion
The "EBL – Enigma BOS Logic" is a powerful tool for traders who want to enhance their price action trading by focusing on key levels and retests across multiple timeframes. By automating the identification of BOS levels and providing clear retest signals, it helps traders make more informed and confident trading decisions. Whether you are a scalper, intraday trader, or swing trader, this indicator offers valuable insights to improve your trading performance.
Multi-Timeframe Stochastic Alert [tradeviZion]# Multi-Timeframe Stochastic Alert : Complete User Guide
## 1. Introduction
### What is the Multi-Timeframe Stochastic Alert?
The Multi-Timeframe Stochastic Alert is an advanced technical analysis tool that helps traders identify potential trading opportunities by analyzing momentum across multiple timeframes. It combines the power of the stochastic oscillator with multi-timeframe analysis to provide more reliable trading signals.
### Key Features and Benefits
- Simultaneous analysis of 6 different timeframes
- Advanced alert system with customizable conditions
- Real-time visual feedback with color-coded signals
- Comprehensive data table with instant market insights
- Motivational trading messages for psychological support
- Flexible theme support for comfortable viewing
### How it Can Help Your Trading
- Identify stronger trends by confirming momentum across multiple timeframes
- Reduce false signals through multi-timeframe confirmation
- Stay informed of market changes with customizable alerts
- Make more informed decisions with comprehensive market data
- Maintain trading discipline with clear visual signals
## 2. Understanding the Display
### The Stochastic Chart
The main chart displays three key components:
1. ** K-Line (Fast) **: The primary stochastic line (default color: green)
2. ** D-Line (Slow) **: The signal line (default color: red)
3. ** Reference Lines **:
- Overbought Level (80): Upper dashed line
- Middle Line (50): Center dashed line
- Oversold Level (20): Lower dashed line
### The Information Table
The table provides a comprehensive view of stochastic readings across all timeframes. Here's what each column means:
#### Column Explanations:
1. ** Timeframe **
- Shows the time period for each row
- Example: "5" = 5 minutes, "15" = 15 minutes, etc.
2. ** K Value **
- The fast stochastic line value (0-100)
- Higher values indicate stronger upward momentum
- Lower values indicate stronger downward momentum
3. ** D Value **
- The slow stochastic line value (0-100)
- Helps confirm momentum direction
- Crossovers with K-line can signal potential trades
4. ** Status **
- Shows current momentum with symbols:
- ▲ = Increasing (bullish)
- ▼ = Decreasing (bearish)
- Color matches the trend direction
5. ** Trend **
- Shows the current market condition:
- "Overbought" (above 80)
- "Bullish" (above 50)
- "Bearish" (below 50)
- "Oversold" (below 20)
#### Row Explanations:
1. ** Title Row **
- Shows "🎯 Multi-Timeframe Stochastic"
- Indicates the indicator is active
2. ** Header Row **
- Contains column titles
- Dark blue background for easy reading
3. ** Timeframe Rows **
- Six rows showing different timeframe analyses
- Each row updates independently
- Color-coded for easy trend identification
4. **Message Row**
- Shows rotating motivational messages
- Updates every 5 bars
- Helps maintain trading discipline
### Visual Indicators and Colors
- ** Green Background **: Indicates bullish conditions
- ** Red Background **: Indicates bearish conditions
- ** Color Intensity **: Shows strength of the signal
- ** Background Highlights **: Appear when alert conditions are met
## 3. Core Settings Groups
### Stochastic Settings
These settings control the core calculation of the stochastic oscillator.
1. ** Length (Default: 14) **
- What it does: Determines the lookback period for calculations
- Higher values (e.g., 21): More stable, fewer signals
- Lower values (e.g., 8): More sensitive, more signals
- Recommended:
* Day Trading: 8-14
* Swing Trading: 14-21
* Position Trading: 21-30
2. ** Smooth K (Default: 3) **
- What it does: Smooths the main stochastic line
- Higher values: Smoother line, fewer false signals
- Lower values: More responsive, but more noise
- Recommended:
* Day Trading: 2-3
* Swing Trading: 3-5
* Position Trading: 5-7
3. ** Smooth D (Default: 3) **
- What it does: Smooths the signal line
- Works in conjunction with Smooth K
- Usually kept equal to or slightly higher than Smooth K
- Recommended: Keep same as Smooth K for consistency
4. ** Source (Default: Close) **
- What it does: Determines price data for calculations
- Options: Close, Open, High, Low, HL2, HLC3, OHLC4
- Recommended: Stick with Close for most reliable signals
### Timeframe Settings
Controls the multiple timeframes analyzed by the indicator.
1. ** Main Timeframes (TF1-TF6) **
- TF1 (Default: 10): Shortest timeframe for quick signals
- TF2 (Default: 15): Short-term trend confirmation
- TF3 (Default: 30): Medium-term trend analysis
- TF4 (Default: 30): Additional medium-term confirmation
- TF5 (Default: 60): Longer-term trend analysis
- TF6 (Default: 240): Major trend confirmation
Recommended Combinations:
* Scalping: 1, 3, 5, 15, 30, 60
* Day Trading: 5, 15, 30, 60, 240, D
* Swing Trading: 15, 60, 240, D, W, M
2. ** Wait for Bar Close (Default: true) **
- What it does: Controls when calculations update
- True: More reliable but slightly delayed signals
- False: Faster signals but may change before bar closes
- Recommended: Keep True for more reliable signals
### Alert Settings
#### Main Alert Settings
1. ** Enable Alerts (Default: true) **
- Master switch for all alert notifications
- Toggle this off when you don't want any alerts
- Useful during testing or when you want to focus on visual signals only
2. ** Alert Condition (Options) **
- "Above Middle": Bullish momentum alerts only
- "Below Middle": Bearish momentum alerts only
- "Both": Alerts for both directions
- Recommended:
* Trending Markets: Choose direction matching the trend
* Ranging Markets: Use "Both" to catch reversals
* New Traders: Start with "Both" until you develop a specific strategy
3. ** Alert Frequency **
- "Once Per Bar": Immediate alerts during the bar
- "Once Per Bar Close": Alerts only after bar closes
- Recommended:
* Day Trading: "Once Per Bar" for quick reactions
* Swing Trading: "Once Per Bar Close" for confirmed signals
* Beginners: "Once Per Bar Close" to reduce false signals
#### Timeframe Check Settings
1. ** First Check (TF1) **
- Purpose: Confirms basic trend direction
- Alert Triggers When:
* For Bullish: Stochastic is above middle line (50)
* For Bearish: Stochastic is below middle line (50)
* For Both: Triggers in either direction based on position relative to middle line
- Settings:
* Enable/Disable: Turn first check on/off
* Timeframe: Default 5 minutes
- Best Used For:
* Quick trend confirmation
* Entry timing
* Scalping setups
2. ** Second Check (TF2) **
- Purpose: Confirms both position and momentum
- Alert Triggers When:
* For Bullish: Stochastic is above middle line AND both K&D lines are increasing
* For Bearish: Stochastic is below middle line AND both K&D lines are decreasing
* For Both: Triggers based on position and direction matching current condition
- Settings:
* Enable/Disable: Turn second check on/off
* Timeframe: Default 15 minutes
- Best Used For:
* Trend strength confirmation
* Avoiding false breakouts
* Day trading setups
3. ** Third Check (TF3) **
- Purpose: Confirms overall momentum direction
- Alert Triggers When:
* For Bullish: Both K&D lines are increasing (momentum confirmation)
* For Bearish: Both K&D lines are decreasing (momentum confirmation)
* For Both: Triggers based on matching momentum direction
- Settings:
* Enable/Disable: Turn third check on/off
* Timeframe: Default 30 minutes
- Best Used For:
* Major trend confirmation
* Swing trading setups
* Avoiding trades against the main trend
Note: All three conditions must be met simultaneously for the alert to trigger. This multi-timeframe confirmation helps reduce false signals and provides stronger trade setups.
#### Alert Combinations Examples
1. ** Conservative Setup **
- Enable all three checks
- Use "Once Per Bar Close"
- Timeframe Selection Example:
* First Check: 15 minutes
* Second Check: 1 hour (60 minutes)
* Third Check: 4 hours (240 minutes)
- Wider gaps between timeframes reduce noise and false signals
- Best for: Swing trading, beginners
2. ** Aggressive Setup **
- Enable first two checks only
- Use "Once Per Bar"
- Timeframe Selection Example:
* First Check: 5 minutes
* Second Check: 15 minutes
- Closer timeframes for quicker signals
- Best for: Day trading, experienced traders
3. ** Balanced Setup **
- Enable all checks
- Use "Once Per Bar"
- Timeframe Selection Example:
* First Check: 5 minutes
* Second Check: 15 minutes
* Third Check: 1 hour (60 minutes)
- Balanced spacing between timeframes
- Best for: All-around trading
### Visual Settings
#### Alert Visual Settings
1. ** Show Background Color (Default: true) **
- What it does: Highlights chart background when alerts trigger
- Benefits:
* Makes signals more visible
* Helps spot opportunities quickly
* Provides visual confirmation of alerts
- When to disable:
* If using multiple indicators
* When preferring a cleaner chart
* During manual backtesting
2. ** Background Transparency (Default: 90) **
- Range: 0 (solid) to 100 (invisible)
- Recommended Settings:
* Clean Charts: 90-95
* Multiple Indicators: 85-90
* Single Indicator: 80-85
- Tip: Adjust based on your chart's overall visibility
3. ** Background Colors **
- Bullish Background:
* Default: Green
* Indicates upward momentum
* Customizable to match your theme
- Bearish Background:
* Default: Red
* Indicates downward momentum
* Customizable to match your theme
#### Level Settings
1. ** Oversold Level (Default: 20) **
- Traditional Setting: 20
- Adjustable Range: 0-100
- Usage:
* Lower values (e.g., 10): More conservative
* Higher values (e.g., 30): More aggressive
- Trading Applications:
* Potential bullish reversal zone
* Support level in uptrends
* Entry point for long positions
2. ** Overbought Level (Default: 80) **
- Traditional Setting: 80
- Adjustable Range: 0-100
- Usage:
* Lower values (e.g., 70): More aggressive
* Higher values (e.g., 90): More conservative
- Trading Applications:
* Potential bearish reversal zone
* Resistance level in downtrends
* Exit point for long positions
3. ** Middle Line (Default: 50) **
- Purpose: Trend direction separator
- Applications:
* Above 50: Bullish territory
* Below 50: Bearish territory
* Crossing 50: Potential trend change
- Trading Uses:
* Trend confirmation
* Entry/exit trigger
* Risk management level
#### Color Settings
1. ** Bullish Color (Default: Green) **
- Used for:
* K-Line (Main stochastic line)
* Status symbols when trending up
* Trend labels for bullish conditions
- Customization:
* Choose colors that stand out
* Match your trading platform theme
* Consider color blindness accessibility
2. ** Bearish Color (Default: Red) **
- Used for:
* D-Line (Signal line)
* Status symbols when trending down
* Trend labels for bearish conditions
- Customization:
* Choose contrasting colors
* Ensure visibility on your chart
* Consider monitor settings
3. ** Neutral Color (Default: Gray) **
- Used for:
* Middle line (50 level)
- Customization:
* Should be less prominent
* Easy on the eyes
* Good background contrast
### Theme Settings
1. **Color Theme Options**
- Dark Theme (Default):
* Dark background with white text
* Optimized for dark chart backgrounds
* Reduces eye strain in low light
- Light Theme:
* Light background with black text
* Better visibility in bright conditions
- Custom Theme:
* Use your own color preferences
2. ** Available Theme Colors **
- Table Background
- Table Text
- Table Headers
Note: The theme affects only the table display colors. The stochastic lines and alert backgrounds use their own color settings.
### Table Settings
#### Position and Size
1. ** Table Position **
- Options:
* Top Right (Default)
* Middle Right
* Bottom Right
* Top Left
* Middle Left
* Bottom Left
- Considerations:
* Chart space utilization
* Personal preference
* Multiple monitor setups
2. ** Text Sizes **
- Title Size Options:
* Tiny: Minimal space usage
* Small: Compact but readable
* Normal (Default): Standard visibility
* Large: Enhanced readability
* Huge: Maximum visibility
- Data Size Options:
* Recommended: One size smaller than title
* Adjust based on screen resolution
* Consider viewing distance
3. ** Empowering Messages **
- Purpose:
* Maintain trading discipline
* Provide psychological support
* Remind of best practices
- Rotation:
* Changes every 5 bars
* Categories include:
- Market Wisdom
- Strategy & Discipline
- Mindset & Growth
- Technical Mastery
- Market Philosophy
## 4. Setting Up for Different Trading Styles
### Day Trading Setup
1. **Timeframes**
- Primary: 5, 15, 30 minutes
- Secondary: 1H, 4H
- Alert Settings: "Once Per Bar"
2. ** Stochastic Settings **
- Length: 8-14
- Smooth K/D: 2-3
- Alert Condition: Match market trend
3. ** Visual Settings **
- Background: Enabled
- Transparency: 85-90
- Theme: Based on trading hours
### Swing Trading Setup
1. ** Timeframes **
- Primary: 1H, 4H, Daily
- Secondary: Weekly
- Alert Settings: "Once Per Bar Close"
2. ** Stochastic Settings **
- Length: 14-21
- Smooth K/D: 3-5
- Alert Condition: "Both"
3. ** Visual Settings **
- Background: Optional
- Transparency: 90-95
- Theme: Personal preference
### Position Trading Setup
1. ** Timeframes **
- Primary: Daily, Weekly
- Secondary: Monthly
- Alert Settings: "Once Per Bar Close"
2. ** Stochastic Settings **
- Length: 21-30
- Smooth K/D: 5-7
- Alert Condition: "Both"
3. ** Visual Settings **
- Background: Disabled
- Focus on table data
- Theme: High contrast
## 5. Troubleshooting Guide
### Common Issues and Solutions
1. ** Too Many Alerts **
- Cause: Settings too sensitive
- Solutions:
* Increase timeframe intervals
* Use "Once Per Bar Close"
* Enable fewer timeframe checks
* Adjust stochastic length higher
2. ** Missed Signals **
- Cause: Settings too conservative
- Solutions:
* Decrease timeframe intervals
* Use "Once Per Bar"
* Enable more timeframe checks
* Adjust stochastic length lower
3. ** False Signals **
- Cause: Insufficient confirmation
- Solutions:
* Enable all three timeframe checks
* Use larger timeframe gaps
* Wait for bar close
* Confirm with price action
4. ** Visual Clarity Issues **
- Cause: Poor contrast or overlap
- Solutions:
* Adjust transparency
* Change theme settings
* Reposition table
* Modify color scheme
### Best Practices
1. ** Getting Started **
- Start with default settings
- Use "Both" alert condition
- Enable all timeframe checks
- Wait for bar close
- Monitor for a few days
2. ** Fine-Tuning **
- Adjust one setting at a time
- Document changes and results
- Test in different market conditions
- Find your optimal timeframe combination
- Balance sensitivity with reliability
3. ** Risk Management **
- Don't trade against major trends
- Confirm signals with price action
- Use appropriate position sizing
- Set clear stop losses
- Follow your trading plan
4. ** Regular Maintenance **
- Review settings weekly
- Adjust for market conditions
- Update color scheme for visibility
- Clean up chart regularly
- Maintain trading journal
## 6. Tips for Success
1. ** Entry Strategies **
- Wait for all timeframes to align
- Confirm with price action
- Use proper position sizing
- Consider market conditions
2. ** Exit Strategies **
- Trail stops using indicator levels
- Take partial profits at targets
- Honor your stop losses
- Don't fight the trend
3. ** Psychology **
- Stay disciplined with settings
- Don't override system signals
- Keep emotions in check
- Learn from each trade
4. ** Continuous Improvement **
- Record your trades
- Review performance regularly
- Adjust settings gradually
- Stay educated on markets
Wick Length Display + Alert conditionsDescription of the Wick Length Display (Advanced) script
Originality and purpose of the script
The Wick Length Display (Advanced) script is an innovative tool for traders who want to gain detailed insights into the length of candle wicks. It stands out for its versatility and user-friendly customization options. It combines precise technical calculations with visual representation to provide important information about market movements and dynamics right on the chart.
Functionality
The script calculates and displays the length of the upper and lower wicks of each candle on the chart. It also provides additional visual cues such as:
• “Bull pressure”: When green candles do not have upper wicks, this indicates strong buying pressure.
• “Bear pressure”: When red candles do not have lower wicks, this indicates strong selling pressure.
• Threshold conditions: Only displays wicks that exceed a certain threshold (optional).
• Display in pips: Allows you to display wick lengths in pips, which is useful for forex traders.
How it works
The script analyzes each candle using the following calculations:
1. Wick length calculation:
◦ Upper wick length = High - (top of the body)
◦ Lower wick length = (bottom of the body) - Low
2. Display conditions:
◦ It distinguishes between bullish and bearish candles.
◦ It checks if the calculated wicks exceed the defined thresholds before displaying them.
3. Dynamic labels:
◦ Labels are placed above or below the respective candles.
◦ Size, color and type of labels are fully customizable.
4. Limitation of labels:
◦ To ensure clarity, a maximum number of labels is defined.
Usage
1. Customization:
◦ Open the script in the Pine Script Editor in TradingView.
◦ Use the input options to customize parameters such as color selection, label size, thresholds and other details according to your requirements.
2. Enable thresholds:
◦ Enable thresholds to show labels only for relevant wicks (default is 6).
◦ Define the minimum wick lengths for bullish (green) and bearish (red) candles.
3. Show in pips:
◦ Enable the “Show wick length in pips” option to show the results in pips (especially suitable for Forex).
4. Edit pressure labels:
◦ Turn the “Bull Pressure” and “Bear Pressure” features on or off depending on your analysis settings.
Concepts behind the calculations
• Technical market analysis: Wick lengths can indicate buying or selling pressure and provide important information on market psychology.
• Thresholds and filtering: The script uses thresholds to avoid visual overload and highlight only essential data.
• Label display: Dynamic labels improve chart readability and give the user instant feedback on market developments.
Usage
This script is great for:
• Intraday trading: Analyzing short-term movements using wick lengths.
• Forex trading: Tracking market momentum using the pip indicator.
• Swing trading: Identifying buying or selling pressure in key markets.
• Visual support: Ideal for traders who prefer a graphical display.
Description of the Wick Length Display (Advanced) script
Originality and purpose of the script
The Wick Length Display (Advanced) script is an innovative tool for traders who want to gain detailed insights into the length of candle wicks. It stands out for its versatility and user-friendly customization options. It combines precise technical calculations with visual representation to provide important information about market movements and dynamics right on the chart.
Functionality
The script calculates and displays the length of the upper and lower wicks of each candle on the chart. It also provides additional visual cues such as:
• “Bull pressure”: When green candles do not have upper wicks, this indicates strong buying pressure.
• “Bear pressure”: When red candles do not have lower wicks, this indicates strong selling pressure.
• Threshold conditions: Only displays wicks that exceed a certain threshold (optional).
• Display in pips: Allows you to display wick lengths in pips, which is useful for forex traders.
How it works
The script analyzes each candle using the following calculations:
1. Wick length calculation:
◦ Upper wick length = High - (top of the body)
◦ Lower wick length = (bottom of the body) - Low
2. Display conditions:
◦ It distinguishes between bullish and bearish candles.
◦ It checks if the calculated wicks exceed the defined thresholds before displaying them.
3. Dynamic labels:
◦ Labels are placed above or below the respective candles.
◦ Size, color and type of labels are fully customizable.
4. Limitation of labels
Alert conditions:
Alerts are triggered when the wick length of a bullish or bearish candle exceeds the defined thresholds.
Alert function:
alert() is used to issue messages with a frequency of once per candle when the conditions are met.
How to set up alerts
Save the script and add it to your chart.
Open the alert settings in TradingView.
Select the script's custom message as a trigger.
Adjust the frequency and notification type (popup, email, etc.).
Now you have a powerful tool with visual analysis and alert function!
TrendVizPro (BETA)The provided script is a Pine Script code designed for TradingView that creates a sophisticated technical indicator known as “TrendVizPro (BETA).” This script performs advanced trend analysis using various tools, including candle patterns, RSI (Relative Strength Index), simple moving averages (SMA), previous-day price levels, and multi-timeframe analysis.
Key Features:
Candle Style Selection: Users can choose between traditional candlesticks or Heiken Ashi candlesticks for better visualization of trends.
Trend Identification:
Uptrend, Downtrend, and Neutral Trend conditions are determined using smoothed Heiken Ashi candles and the relationship between short and long SMAs.
The script highlights trends using customizable colors (green for uptrend, red for downtrend, white for neutral).
RSI Calculation:
Calculates the RSI and indicates overbought/oversold market conditions with visual signals.
Customizable RSI lengths, overbought/oversold levels, and associated colors.
Price Targeting System:
Automatically calculates potential price targets based on historical volatility, which can be overridden manually.
Upper and lower target price lines can be plotted, showing where the price might move based on historical data or user-defined percentages.
Multi-Timeframe Analysis:
A table is displayed that shows the RSI, trend, and condition (overbought, oversold, or neutral) across various timeframes (3m, 5m, 15m, 30m, 1h, 2h, 4h, Daily).
The table adapts dynamically based on the data for each timeframe.
Previous Day’s High, Low, and Average:
Plots lines representing the previous day’s high, low, and average price levels.
The midpoint between these values is also plotted for additional context.
Trading Signals:
Long and short trading signals are generated based on the trend’s strength and direction.
Exit signals are plotted to indicate potential points to exit trades.
How to Use:
Input Settings:
Candle Style: Select “Traditional Candle” or “Super Trend Heiken Ashi Candle” to choose how price data is visualized.
Trend Colors: Customize the colors for different trend conditions (Uptrend, Neutral, Downtrend).
RSI Settings: Adjust the RSI length, overbought/oversold levels, and corresponding signal colors.
Price Target: Toggle the autopilot mode to use historical data to calculate potential price targets, or manually input a percentage for custom target prices.
Table and Signal Visibility: Decide whether to display the multi-timeframe analysis table, open price, previous day levels, and various trading signals (long, short, exit).
Analyzing the Chart:
When applied to a chart, the indicator plots different price levels (open price, previous day levels, target prices) using lines.
The current trend is displayed via candle colors, and uptrend/downtrend signals are shown on the chart using arrows (long or short positions).
The multi-timeframe table provides a quick overview of trend and RSI conditions for different timeframes.
Signal Use:
Long Signals: Indicated by green arrows below bars, suggesting a strong uptrend.
Short Signals: Indicated by red arrows above bars, signaling a strong downtrend.
Exit Signals: Marked with X symbols, indicating when to consider exiting a long or short position.
Trend Entry and Exit:
Trend Entry/Exit Lines: When activated, orange lines mark optimal trend entry points, and blue lines show potential trend exit points.
Customizable Visuals:
The background color and plot styles (dashed lines, solid lines, labels) are customizable to make the chart more visually distinct and easy to interpret.
Advanced Use Cases:
Multi-Timeframe Traders: Use the multi-timeframe analysis table to check how trends and RSI values behave across different intervals, helping to identify key support/resistance levels or trend continuation points.
Intraday Trading: The script is highly effective for day traders, as it allows visualization of important intraday levels, such as previous highs/lows and current trend conditions.
Swing Trading: Swing traders can leverage the autopilot price target feature to identify optimal exit points based on historical price behavior.
Conclusion:
This indicator is a comprehensive tool designed for traders seeking to automate their trend and signal analysis. With flexible settings, it can cater to multiple trading styles, from scalping to swing trading, all within the TradingView platform.
Uptrick: Trend SMA Oscillator### In-Depth Analysis of the "Uptrick: Trend SMA Oscillator" Indicator
---
#### Introduction to the Indicator
The "Uptrick: Trend SMA Oscillator" is an advanced yet user-friendly technical analysis tool designed to help traders across all levels of experience identify and follow market trends with precision. This indicator builds upon the fundamental principles of the Simple Moving Average (SMA), a cornerstone of technical analysis, to deliver a clear, visually intuitive overlay on the price chart. Through its strategic use of color-coding and customizable parameters, the Uptrick: Trend SMA Oscillator provides traders with actionable insights into market dynamics, enhancing their ability to make informed trading decisions.
#### Core Concepts and Methodology
1. **Foundational Principle – Simple Moving Average (SMA):**
- The Simple Moving Average (SMA) is the heart of the Uptrick: Trend SMA Oscillator. The SMA is a widely-used technical indicator that calculates the average price of an asset over a specified number of periods. By smoothing out price data, the SMA helps to reduce the noise from short-term fluctuations, providing a clearer picture of the overall trend.
- In the Uptrick: Trend SMA Oscillator, two SMAs are employed:
- **Primary SMA (oscValue):** This is applied to the closing price of the asset over a user-defined period (default is 14 periods). This SMA tracks the price closely and is sensitive to changes in market direction.
- **Smoothing SMA (oscV):** This second SMA is applied to the primary SMA, further smoothing the data and helping to filter out minor price movements that might otherwise be mistaken for trend reversals. The default period for this smoothing is 50, but it can be adjusted to suit the trader's preference.
2. **Color-Coding for Trend Visualization:**
- One of the most distinctive features of this indicator is its use of color to represent market trends. The indicator’s line changes color based on the relationship between the primary SMA and the smoothing SMA:
- **Bullish (Green):** The line turns green when the primary SMA is equal to or greater than the smoothing SMA, indicating that the market is in an upward trend.
- **Bearish (Red):** Conversely, the line turns red when the primary SMA falls below the smoothing SMA, signaling a downward trend.
- This color-coded system provides traders with an immediate, easy-to-interpret visual cue about the market’s direction, allowing for quick decision-making.
#### Detailed Explanation of Inputs
1. **Bullish Color (Default: Green #00ff00):**
- This input allows traders to customize the color that represents bullish trends on the chart. The default setting is green, a color commonly associated with upward market movement. However, traders can adjust this to any color that suits their visual preferences or matches their overall chart theme.
2. **Bearish Color (Default: Red RGB: 245, 0, 0):**
- The bearish color input determines the color of the line when the market is trending downwards. The default setting is a vivid red, signaling caution or selling opportunities. Like the bullish color, this can be customized to fit the trader’s needs.
3. **Line Thickness (Default: 5):**
- This setting controls the thickness of the line plotted by the indicator. The default thickness of 5 makes the line prominent on the chart, ensuring that the trend is easily visible even in complex or crowded chart setups. Traders can adjust the thickness to make the line thinner or thicker, depending on their visual preferences.
4. **Primary SMA Period (Value 1 - Default: 14):**
- The primary SMA period defines how many periods (e.g., days, hours) are used to calculate the moving average based on the asset’s closing prices. The default period of 14 is a balanced setting that offers a good mix of responsiveness and stability, but traders can adjust this depending on their trading style:
- **Shorter Periods (e.g., 5-10):** These make the indicator more sensitive, capturing trends more quickly but also increasing the likelihood of reacting to short-term price fluctuations or "noise."
- **Longer Periods (e.g., 20-50):** These smooth the data more, providing a more stable trend line that is less prone to whipsaws but may be slower to respond to trend changes.
5. **Smoothing SMA Period (Value 2 - Default: 50):**
- The smoothing SMA period determines how much the primary SMA is smoothed. A longer smoothing period results in a more gradual, stable line that focuses on the broader trend. The default of 50 is designed to smooth out most of the short-term fluctuations while still being responsive enough to detect significant trend shifts.
- **Customization:**
- **Shorter Smoothing Periods (e.g., 20-30):** Make the indicator more responsive, better for fast-moving markets or for traders who want to capture quick trends.
- **Longer Smoothing Periods (e.g., 70-100):** Enhance stability, ideal for long-term traders looking to avoid reacting to minor price movements.
#### Unique Characteristics and Advantages
1. **Simplicity and Clarity:**
- The Uptrick: Trend SMA Oscillator’s design prioritizes simplicity without sacrificing effectiveness. By relying on the widely understood SMA, it avoids the complexity of more esoteric indicators while still providing reliable trend signals. This simplicity makes it accessible to traders of all levels, from novices who are just learning about technical analysis to experienced traders looking for a straightforward, dependable tool.
2. **Visual Feedback Mechanism:**
- The indicator’s use of color to signify market trends is a particularly powerful feature. This visual feedback mechanism allows traders to assess market conditions at a glance. The clarity of the green and red color scheme reduces the mental effort required to interpret the indicator, freeing the trader to focus on strategy execution.
3. **Adaptability Across Markets and Timeframes:**
- One of the strengths of the Uptrick: Trend SMA Oscillator is its versatility. The basic principles of moving averages apply equally well across different asset classes and timeframes. Whether trading stocks, forex, commodities, or cryptocurrencies, traders can use this indicator to gain insights into market trends.
- **Intraday Trading:** For day traders who operate on short timeframes (e.g., 1-minute, 5-minute charts), the oscillator can be adjusted to be more responsive, capturing quick shifts in momentum.
- **Swing Trading:** Swing traders, who typically hold positions for several days to weeks, will find the default settings or slightly adjusted periods ideal for identifying and riding medium-term trends.
- **Long-Term Trading:** Position traders and investors can adjust the indicator to focus on long-term trends by increasing the periods for both the primary and smoothing SMAs, filtering out minor fluctuations and highlighting sustained market movements.
4. **Minimal Lag:**
- One of the challenges with moving averages is lag—the delay between when the price changes and when the indicator reflects this change. The Uptrick: Trend SMA Oscillator addresses this by allowing traders to adjust the periods to find a balance between responsiveness and stability. While all SMAs inherently have some lag, the customizable nature of this indicator helps traders mitigate this effect to align with their specific trading goals.
5. **Customizable and Intuitive:**
- While many technical indicators come with a fixed set of parameters, the Uptrick: Trend SMA Oscillator is fully customizable, allowing traders to tailor it to their trading style, market conditions, and personal preferences. This makes it a highly flexible tool that can be adjusted as markets evolve or as a trader’s strategy changes over time.
#### Practical Applications for Different Trader Profiles
1. **Day Traders:**
- **Use Case:** Day traders can customize the SMA periods to create a faster, more responsive indicator. This allows them to capture short-term trends and make quick decisions. For example, reducing the primary SMA to 5 and the smoothing SMA to 20 can help day traders react promptly to intraday price movements.
- **Strategy Integration:** Day traders might use the Uptrick: Trend SMA Oscillator in conjunction with volume-based indicators to confirm the strength of a trend before entering or exiting trades.
2. **Swing Traders:**
- **Use Case:** Swing traders can use the default settings or slightly adjust them to smooth out minor price fluctuations while still capturing medium-term trends. This approach helps in identifying the optimal points to enter or exit trades based on the broader market direction.
- **Strategy Integration:** Swing traders can combine this indicator with oscillators like the Relative Strength Index (RSI) to confirm overbought or oversold conditions, thereby refining their entry and exit strategies.
3. **Position Traders:**
- **Use Case:** Position traders, who hold trades for extended periods, can extend the SMA periods to focus on long-term trends. By doing so, they minimize the impact of short-term market noise and focus on the underlying trend.
- **Strategy Integration:** Position traders might use the Uptrick: Trend SMA Oscillator in combination with fundamental analysis. The indicator can help confirm the timing of entries and exits based on broader economic or corporate developments.
4. **Algorithmic and Quantitative Traders:**
- **Use Case:** The simplicity and clear logic of the Uptrick: Trend SMA Oscillator make it an excellent candidate for algorithmic trading strategies. Its binary output—bullish or bearish—can be easily coded into automated trading systems.
- **Strategy Integration:** Quant traders might use the indicator as part of a larger trading system that incorporates multiple indicators and rules, optimizing the SMA periods based on historical backtesting to achieve the best results.
5. **Novice Traders:**
- **Use Case:** Beginners can use the Uptrick: Trend SMA Oscillator to learn the basics of trend-following strategies.
The visual simplicity of the color-coded line helps novice traders quickly understand market direction without the need to interpret complex data.
- **Educational Value:** The indicator serves as an excellent starting point for those new to technical analysis, providing a practical example of how moving averages work in a real-world trading environment.
#### Combining the Indicator with Other Tools
1. **Relative Strength Index (RSI):**
- The RSI is a momentum oscillator that measures the speed and change of price movements. When combined with the Uptrick: Trend SMA Oscillator, traders can look for instances where the RSI shows divergence from the price while the oscillator confirms the trend. This can be a powerful signal of an impending reversal or continuation.
2. **Moving Average Convergence Divergence (MACD):**
- The MACD is another popular trend-following momentum indicator. By using it alongside the Uptrick: Trend SMA Oscillator, traders can confirm the strength of a trend and identify potential entry and exit points with greater confidence. For example, a bullish crossover on the MACD that coincides with the Uptrick: Trend SMA Oscillator turning green can be a strong buy signal.
3. **Volume Indicators:**
- Volume is often considered the fuel behind price movements. Using volume indicators like the On-Balance Volume (OBV) or Volume Weighted Average Price (VWAP) in conjunction with the Uptrick: Trend SMA Oscillator can help traders confirm the validity of a trend. A trend identified by the oscillator that is supported by increasing volume is typically more reliable.
4. **Fibonacci Retracement:**
- Fibonacci retracement levels are used to identify potential reversal levels in a trending market. When the Uptrick: Trend SMA Oscillator indicates a trend, traders can use Fibonacci retracement levels to find potential entry points that align with the broader trend direction.
#### Implementation in Different Market Conditions
1. **Trending Markets:**
- The Uptrick: Trend SMA Oscillator excels in trending markets, where it provides clear signals on the direction of the trend. In a strong uptrend, the line will remain green, helping traders stay in the trade for longer periods. In a downtrend, the red line will signal the continuation of bearish conditions, prompting traders to stay short or avoid long positions.
2. **Sideways or Range-Bound Markets:**
- In range-bound markets, where price oscillates within a confined range without a clear trend, the Uptrick: Trend SMA Oscillator may produce more frequent changes in color. While this could indicate potential reversals at the range boundaries, traders should be cautious of false signals. It may be beneficial to pair the oscillator with a volatility indicator to better navigate such conditions.
3. **Volatile Markets:**
- In highly volatile markets, where prices can swing rapidly, the sensitivity of the Uptrick: Trend SMA Oscillator can be adjusted by modifying the SMA periods. A shorter SMA period might capture quick trends, but traders should be aware of the increased risk of whipsaws. Combining the oscillator with a volatility filter or using it in a higher time frame might help mitigate some of this risk.
#### Final Thoughts
The "Uptrick: Trend SMA Oscillator" is a versatile, easy-to-use indicator that stands out for its simplicity, visual clarity, and adaptability. It provides traders with a straightforward method to identify and follow market trends, using the well-established concept of moving averages. The indicator’s customizable nature makes it suitable for a wide range of trading styles, from day trading to long-term investing, and across various asset classes.
By offering immediate visual feedback through color-coded signals, the Uptrick: Trend SMA Oscillator simplifies the decision-making process, allowing traders to focus on execution rather than interpretation. Whether used on its own or as part of a broader technical analysis toolkit, this indicator has the potential to enhance trading strategies and improve overall performance.
Its accessibility and ease of use make it particularly appealing to novice traders, while its adaptability and reliability ensure that it remains a valuable tool for more experienced market participants. As markets continue to evolve, the Uptrick: Trend SMA Oscillator remains a timeless tool, rooted in the fundamental principles of technical analysis, yet flexible enough to meet the demands of modern trading.
Uptrick: MultiTrend Squeeze System**Uptrick: MultiTrend Squeeze System Indicator: The Ultimate Trading Tool for Precision and Versatility 📈🔥**
### Introduction
The MultiTrend Squeeze System is a powerful, multi-faceted trading indicator designed to provide traders with precise buy and sell signals by combining the strengths of multiple technical analysis tools. This script isn't just an indicator; it's a comprehensive trading system that merges the power of SuperTrend, RSI, Volume Filtering, and Squeeze Momentum to give you an unparalleled edge in the market. Whether you're a day trader looking for short-term opportunities or a swing trader aiming to catch longer-term trends, this indicator is tailored to meet your needs.
### Key Features and Unique Aspects
1. **SuperTrend with Dynamic Adjustments 📊**
- **Adaptive SuperTrend Calculation:** The SuperTrend is a popular trend-following indicator that adjusts dynamically based on market conditions. It uses the Average True Range (ATR) to calculate upper and lower bands, which shift according to market volatility. This script takes it further by combining it with the RSI and Volume filtering to provide more accurate signals.
- **Direction Sensitivity:** The SuperTrend here is not static. It adjusts based on the direction of the previous SuperTrend value, ensuring that the indicator remains relevant even in choppy markets.
2. **RSI Integration for Overbought/Oversold Conditions 💹**
- **RSI Calculation:** The Relative Strength Index (RSI) is incorporated to identify overbought and oversold conditions, adding an extra layer of precision. This helps in filtering out false signals and ensuring that trades are taken only in optimal conditions.
- **Customizable RSI Settings:** The RSI settings are fully customizable, allowing traders to adjust the RSI length and the overbought/oversold levels according to their trading style and market.
3. **Volume Filtering for Enhanced Signal Confirmation 📉**
- **Volume Multiplier:** This unique feature integrates volume analysis, ensuring that signals are only generated when there is sufficient market participation. The Volume Multiplier can be adjusted to filter out weak signals that occur during low-volume periods.
- **Optional Volume Filtering:** Traders have the flexibility to turn the volume filter on or off, depending on their preference or market conditions. This makes the indicator versatile, allowing it to be used across different asset classes and market conditions.
4. **Squeeze Momentum Indicator (SMI) for Market Pressure Analysis 💥**
- **Squeeze Detection:** The Squeeze Momentum Indicator detects periods of market compression and expansion. This script goes beyond the traditional Bollinger Bands and Keltner Channels by incorporating true range calculations, offering a more nuanced view of market momentum.
- **Customizable Squeeze Settings:** The lengths and multipliers for both Bollinger Bands and Keltner Channels are customizable, giving traders the flexibility to fine-tune the indicator based on their specific needs.
5. **Visual and Aesthetic Customization 🎨**
- **Color-Coding for Clarity:** The indicator is color-coded to make it easy to interpret signals. Bullish trends are marked with a vibrant green color, while bearish trends are highlighted in red. Neutral or unconfirmed signals are displayed in softer tones to reduce noise.
- **Histogram Visualization:** The primary trend direction and strength are displayed as a histogram, making it easy to visualize the market's momentum at a glance. The height and color of the bars provide immediate feedback on the strength and direction of the trend.
6. **Alerts for Real-Time Trading 🚨**
- **Custom Alerts:** The script is equipped with custom alerts that notify traders when a buy or sell signal is generated. These alerts can be configured to send notifications through various channels, including email, SMS, or directly to the trading platform.
- **Immediate Reaction:** The alerts are triggered based on the confluence of SuperTrend, RSI, and Volume signals, ensuring that traders are notified only when the most robust trading opportunities arise.
7. **Comprehensive Input Customization ⚙️**
- **SuperTrend Settings:** Adjust the ATR length and factor to control the sensitivity of the SuperTrend. This allows you to adapt the indicator to different market conditions, whether you're trading a volatile cryptocurrency or a more stable stock.
- **RSI Settings:** Customize the RSI length and thresholds for overbought and oversold conditions, enabling you to tailor the indicator to your specific trading strategy.
- **Volume Settings:** The Volume Multiplier and the option to toggle the volume filter provide an additional layer of customization, allowing you to fine-tune the indicator based on market liquidity and participation.
- **Squeeze Momentum Settings:** The lengths and multipliers for Bollinger Bands and Keltner Channels can be adjusted to detect different levels of market compression, providing flexibility for both short-term and long-term traders.
### How It Works: A Deep Dive Into the Mechanics 🛠️
1. **SuperTrend Calculation:**
- The SuperTrend is calculated using the ATR, which measures market volatility. The indicator creates upper and lower bands around the price, adjusting these bands based on the current level of market volatility. The direction of the trend is determined by the position of the price relative to these bands.
- The script enhances the standard SuperTrend by ensuring that the bands do not flip-flop too quickly, reducing the chances of false signals in a choppy market. The direction is confirmed by checking the position of the close relative to the previous band, making the trend detection more reliable.
2. **RSI Integration:**
- The RSI is calculated over a customizable length and compared to user-defined overbought and oversold levels. When the RSI crosses below the oversold level, and the SuperTrend indicates a bullish trend, a buy signal is generated. Conversely, when the RSI crosses above the overbought level, and the SuperTrend indicates a bearish trend, a sell signal is triggered.
- The combination of RSI with SuperTrend ensures that trades are only taken when there is a strong confluence of signals, reducing the chances of entering trades during weak or indecisive market phases.
3. **Volume Filtering:**
- The script calculates the average volume over a 20-period simple moving average. The volume filter ensures that buy and sell signals are only valid when the current volume exceeds a multiple of this average, which can be adjusted by the user. This feature helps filter out weak signals that might occur during low-volume periods, such as just before a major news event or during after-hours trading.
- The volume filter is particularly useful in markets where volume spikes are common, as it ensures that signals are only generated when there is significant market interest in the direction of the trend.
4. **Squeeze Momentum:**
- The Squeeze Momentum Indicator (SMI) adds a layer of market pressure analysis. The script calculates Bollinger Bands and Keltner Channels, detecting when the market is in a "squeeze" — a period of low volatility that typically precedes a significant price move.
- When the Bollinger Bands are inside the Keltner Channels, the market is in a squeeze (compression phase). This is often a precursor to a breakout or breakdown. The script colors the histogram bars black during this phase, indicating a potential for a strong move. Once the squeeze is released, the bars are colored according to the direction of the SuperTrend, signaling a potential entry point.
5. **Integration and Signal Generation:**
- The script brings together the SuperTrend, RSI, Volume, and Squeeze Momentum to generate highly accurate buy and sell signals. A buy signal is triggered when the SuperTrend is bullish, the RSI indicates oversold conditions, and the volume filter confirms strong market participation. Similarly, a sell signal is generated when the SuperTrend is bearish, the RSI indicates overbought conditions, and the volume filter is met.
- The combination of these elements ensures that the signals are robust, reducing the likelihood of entering trades during weak or indecisive market conditions.
### Practical Applications: How to Use the MultiTrend Squeeze System 📅
1. **Day Trading:**
- For day traders, this indicator provides quick and reliable signals that can be used to enter and exit trades multiple times within a day. The volume filter ensures that you are trading during the most liquid times of the day, increasing the chances of successful trades. The Squeeze Momentum aspect helps you catch breakouts or breakdowns, which are common in intraday trading.
2. **Swing Trading:**
- Swing traders can use the MultiTrend Squeeze System to identify longer-term trends. By adjusting the ATR length and factor, you can make the SuperTrend more sensitive to catch longer-term moves. The RSI and Squeeze Momentum aspects help you time your entries and exits, ensuring that you get in early on a trend and exit before it reverses.
3. **Scalping:**
- For scalpers, the quick signals provided by this system, especially in combination with the volume filter, make it easier to take small profits repeatedly. The histogram bars give you a clear visual cue of the market's momentum, making it easier to scalp effectively.
4. **Position Trading:**
- Even position traders can benefit from this indicator by using it to confirm long-term trends. By adjusting the settings to less sensitive parameters, you can ensure that you are only entering trades when a strong trend is confirmed. The Squeeze Momentum indicator will help you stay in the trade during periods of consolidation, waiting for the next big move.
### Conclusion: Why the MultiTrend Squeeze System is a Game-Changer 🚀
The MultiTrend Squeeze System is not just another trading indicator; it’s a comprehensive trading strategy encapsulated within a single script. By combining the power
of SuperTrend, RSI, Volume Filtering, and Squeeze Momentum, this indicator provides a robust and versatile tool that can be adapted to various trading styles and market conditions.
**Why is it Unique?**
- **Multi-Dimensional Analysis:** Unlike many other indicators that rely on a single data point or calculation, this script incorporates multiple layers of analysis, ensuring that signals are based on a confluence of factors, which increases their reliability.
- **Customizability:** The vast range of input settings allows traders to tailor the indicator to their specific needs, whether they are trading forex, stocks, cryptocurrencies, or commodities.
- **Visual Clarity:** The color-coded bars, labels, and signals make it easy to interpret the market conditions at a glance, reducing the time needed to make trading decisions.
Whether you are a novice trader or an experienced market participant, the MultiTrend Squeeze System offers a powerful toolset to enhance your trading strategy, reduce risk, and maximize your potential returns. With its combination of trend analysis, momentum detection, and volume filtering, this indicator is designed to help you trade with confidence and precision in any market condition.
Swing Trend AnalysisIntroducing the Swing Trend Analyzer: A Powerful Tool for Swing and Positional Trading
The Swing Trend Analyzer is a cutting-edge indicator designed to enhance your swing and positional trading by providing precise entry points based on volatility contraction patterns and other key technical signals. This versatile tool is packed with features that cater to traders of all timeframes, offering flexibility, clarity, and actionable insights.
Key Features:
1. Adaptive Moving Averages:
The Swing Trend Analyzer offers multiple moving averages tailored to the timeframe you are trading on. On the daily chart, you can select up to four different moving average lengths, while all other timeframes provide three moving averages. This flexibility allows you to fine-tune your analysis according to your trading strategy. Disabling a moving average is as simple as setting its value to zero, making it easy to customize the indicator to your needs.
2. Dynamic Moving Average Colors Based on Relative Strength:
This feature allows you to compare the performance of the current ticker against a major index or any symbol of your choice. The moving average will change color based on whether the ticker is outperforming or underperforming the selected index over the chosen period. For example, on a daily chart, if the 21-day moving average turns blue, it indicates that the ticker has outperformed the selected index over the last 21 days. This visual cue helps you quickly identify relative strength, a key factor in successful swing trading.
3. Visual Identification of Price Contractions:
The Swing Trend Analyzer changes the color of price bars to white (on a dark theme) or black (on a light theme) when a contraction in price is detected. Price contractions are highlighted when either of the following conditions is met: a) the current bar is an inside bar, or b) the price range of the current bar is less than the 14-period Average Daily Range (ADR). This feature makes it easier to spot price contractions across all timeframes, which is crucial for timing entries in swing trading.
4. Overhead Supply Detection with Automated Resistance Lines:
The indicator intelligently detects the presence of overhead supply and draws a single resistance line to avoid clutter on the chart. As price breaches the resistance line, the old line is automatically deleted, and a new resistance line is drawn at the appropriate level. This helps you focus on the most relevant resistance levels, reducing noise and improving decision-making.
5. Buyable Gap Up Marker: The indicator highlights bars in blue when a candle opens with a gap that remains unfilled. These bars are potential Buyable Gap Up (BGU) candidates, signaling opportunities for long-side entries.
6. Comprehensive Swing Trading Information Table:
The indicator includes a detailed table that provides essential data for swing trading:
a. Sector and Industry Information: Understand the sector and industry of the ticker to identify stocks within strong sectors.
b. Key Moving Averages Distances (10MA, 21MA, 50MA, 200MA): Quickly assess how far the current price is from key moving averages. The color coding indicates whether the price is near or far from these averages, offering vital visual cues.
c. Price Range Analysis: Compare the current bar's price range with the previous bar's range to spot contraction patterns.
d. ADR (20, 10, 5): Displays the Average Daily Range over the last 20, 10, and 5 periods, crucial for identifying contraction patterns. On the weekly chart, the ADR continues to provide daily chart information.
e. 52-Week High/Low Data: Shows how close the stock is to its 52-week high or low, with color coding to highlight proximity, aiding in the identification of potential breakout or breakdown candidates.
f. 3-Month Price Gain: See the price gain over the last three months, which helps identify stocks with recent momentum.
7. Pocket Pivot Detection with Visual Markers:
Pocket pivots are a powerful bullish signal, especially relevant for swing trading. Pocket pivots are crucial for swing trading and are effective across all timeframes. The indicator marks pocket pivots with circular markers below the price bar:
a. 10-Day Pocket Pivot: Identified when the volume exceeds the maximum selling volume of the last 10 days. These are marked with a blue circle.
b. 5-Day Pocket Pivot: Identified when the volume exceeds the maximum selling volume of the last 5 days. These are marked with a green circle.
The Swing Trend Analyzer is designed to provide traders with the tools they need to succeed in swing and positional trading. Whether you're looking for precise entry points, analyzing relative strength, or identifying key price contractions, this indicator has you covered. Experience the power of advanced technical analysis with the Swing Trend Analyzer and take your trading to the next level.
GKD-B Baseline [Loxx]Giga Kaleidoscope Baseline is a Baseline module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is an NNFX algorithmic trading strategy?
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend (such as "Baseline" shown on the chart above)
3. Confirmation 1 - a technical indicator used to identify trend. This should agree with the "Baseline"
4. Confirmation 2 - a technical indicator used to identify trend. This filters/verifies the trend identified by "Baseline" and "Confirmation 1"
5. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown.
6. Exit - a technical indicator used to determine when trend is exhausted.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 module (Confirmation 1/2, Numbers 3 and 4 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 5 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 6 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average as shown on the chart above
Volatility/Volume: Jurik Volty
Confirmation 1: Vortex
Confirmation 2: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Now that you have a general understanding of the NNFX algorithm and the GKD trading system. let's go over what's inside the GKD-B Baseline itself.
GKD Baseline Special Features and Notable Inputs
GKD Baseline v1.0 includes 63 different moving averages:
Adaptive Moving Average - AMA
ADXvma - Average Directional Volatility Moving Average
Ahrens Moving Average
Alexander Moving Average - ALXMA
Deviation Scaled Moving Average - DSMA
Donchian
Double Exponential Moving Average - DEMA
Double Smoothed Exponential Moving Average - DSEMA
Double Smoothed FEMA - DSFEMA
Double Smoothed Range Weighted EMA - DSRWEMA
Double Smoothed Wilders EMA - DSWEMA
Double Weighted Moving Average - DWMA
Ehlers Optimal Tracking Filter - EOTF
Exponential Moving Average - EMA
Fast Exponential Moving Average - FEMA
Fractal Adaptive Moving Average - FRAMA
Generalized DEMA - GDEMA
Generalized Double DEMA - GDDEMA
Hull Moving Average (Type 1) - HMA1
Hull Moving Average (Type 2) - HMA2
Hull Moving Average (Type 3) - HMA3
Hull Moving Average (Type 4) - HMA4
IE /2 - Early T3 by Tim Tilson
Integral of Linear Regression Slope - ILRS
Instantaneous Trendline
Kalman Filter
Kaufman Adaptive Moving Average - KAMA
Laguerre Filter
Leader Exponential Moving Average
Linear Regression Value - LSMA ( Least Squares Moving Average )
Linear Weighted Moving Average - LWMA
McGinley Dynamic
McNicholl EMA
Non-Lag Moving Average
Ocean NMA Moving Average - ONMAMA
Parabolic Weighted Moving Average
Probability Density Function Moving Average - PDFMA
Quadratic Regression Moving Average - QRMA
Regularized EMA - REMA
Range Weighted EMA - RWEMA
Recursive Moving Trendline
Simple Decycler - SDEC
Simple Jurik Moving Average - SJMA
Simple Moving Average - SMA
Sine Weighted Moving Average
Smoothed LWMA - SLWMA
Smoothed Moving Average - SMMA
Smoother
Super Smoother
T3
Three-pole Ehlers Butterworth
Three-pole Ehlers Smoother
Triangular Moving Average - TMA
Triple Exponential Moving Average - TEMA
Two-pole Ehlers Butterworth
Two-pole Ehlers smoother
Variable Index Dynamic Average - VIDYA
Variable Moving Average - VMA
Volume Weighted EMA - VEMA
Volume Weighted Moving Average - VWMA
Zero-Lag DEMA - Zero Lag Exponential Moving Average
Zero-Lag Moving Average
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Adaptive Moving Average - AMA
Description. The Adaptive Moving Average (AMA) is a moving average that changes its sensitivity to price moves depending on the calculated volatility. It becomes more sensitive during periods when the price is moving smoothly in a certain direction and becomes less sensitive when the price is volatile.
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA , it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA .
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Deviation Scaled Moving Average - DSMA
The Deviation-Scaled Moving Average is a data smoothing technique that acts like an exponential moving average with a dynamic smoothing coefficient. The smoothing coefficient is automatically updated based on the magnitude of price changes. In the Deviation-Scaled Moving Average, the standard deviation from the mean is chosen to be the measure of this magnitude. The resulting indicator provides substantial smoothing of the data even when price changes are small while quickly adapting to these changes.
Donchian
Donchian Channels are three lines generated by moving average calculations that comprise an indicator formed by upper and lower bands around a midrange or median band. The upper band marks the highest price of a security over N periods while the lower band marks the lowest price of a security over N periods.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average ( DEMA ) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA . It's also considered a leading indicator compared to the EMA , and is best utilized whenever smoothness and speed of reaction to market changes are required.
Double Smoothed FEMA - DSFEMA
Same as the Double Exponential Moving Average (DEMA), but uses a faster version of EMA for its calculation.
Double Smoothed Range Weighted EMA - DSRWEMA
Range weighted exponential moving average (EMA) is, unlike the "regular" range weighted average calculated in a different way. Even though the basis - the range weighting - is the same, the way how it is calculated is completely different. By definition this type of EMA is calculated as a ratio of EMA of price*weight / EMA of weight. And the results are very different and the two should be considered as completely different types of averages. The higher than EMA to price changes responsiveness when the ranges increase remains in this EMA too and in those cases this EMA is clearly leading the "regular" EMA. This version includes double smoothing.
Double Smoothed Wilders EMA - DSWEMA
Welles Wilder was frequently using one "special" case of EMA (Exponential Moving Average) that is due to that fact (that he used it) sometimes called Wilder's EMA. This version is adding double smoothing to Wilder's EMA in order to make it "faster" (it is more responsive to market prices than the original) and is still keeping very smooth values.
Double Weighted Moving Average - DWMA
Double weighted moving average is an LWMA (Linear Weighted Moving Average). Instead of doing one cycle for calculating the LWMA, the indicator is made to cycle the loop 2 times. That produces a smoother values than the original LWMA
Ehlers Optimal Tracking Filter - EOTF
The Elher's Optimum Tracking Filter quickly adjusts rapid shifts in the price and yet is relatively smooth when the price has a sideways action. The operation of this filter is similar to Kaufman’s Adaptive Moving
Average
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA ( Simple Moving Average ). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA .
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Generalized DEMA - GDEMA
The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages.". Instead of using fixed multiplication factor in the final DEMA formula, the generalized version allows you to change it. By varying the "volume factor" form 0 to 1 you apply different multiplications and thus producing DEMA with different "speed" - the higher the volume factor is the "faster" the DEMA will be (but also the slope of it will be less smooth). The volume factor is limited in the calculation to 1 since any volume factor that is larger than 1 is increasing the overshooting to the extent that some volume factors usage makes the indicator unusable.
Generalized Double DEMA - GDDEMA
The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages''. This is an extension of the Generalized DEMA using Tim Tillsons (the inventor of T3) idea, and is using GDEMA of GDEMA for calculation (which is the "middle step" of T3 calculation). Since there are no versions showing that middle step, this version covers that too. The result is smoother than Generalized DEMA, but is less smooth than T3 - one has to do some experimenting in order to find the optimal way to use it, but in any case, since it is "faster" than the T3 (Tim Tillson T3) and still smooth, it looks like a good compromise between speed and smoothness.
Hull Moving Average (Type 1) - HMA1
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses SMA for smoothing.
Hull Moving Average (Type 2) - HMA2
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses EMA for smoothing.
Hull Moving Average (Type 3) - HMA3
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses LWMA for smoothing.
Hull Moving Average (Type 4) - HMA4
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points. This version uses SMMA for smoothing.
IE /2 - Early T3 by Tim Tilson and T3 new
T3 is basically an EMA on steroids, You can read about T3 here:
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA ( Simple Moving Average ) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Kalman Filter
Kalman filter is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies. This means that the filter was originally designed to work with noisy data. Also, it is able to work with incomplete data. Another advantage is that it is designed for and applied in dynamic systems; our price chart belongs to such systems. This version is true to the original design of the trade-ready Kalman Filter where velocity is the triggering mechanism.
Kalman Filter is a more accurate smoothing/prediction algorithm than the moving average because it is adaptive: it accounts for estimation errors and tries to adjust its predictions from the information it learned in the previous stage. Theoretically, Kalman Filter consists of measurement and transition components.
Kaufman Adaptive Moving Average - KAMA
Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and its smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA ( Least Squares Moving Average )
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA . Although it's similar to the Simple Moving Average , the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track prices better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non-lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Ocean NMA Moving Average - ONMAMA
Created by Jim Sloman, the NMA is a moving average that automatically adjusts to volatility without being programmed to do so. For more info, read his guide "Ocean Theory, an Introduction"
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average . The Linear Weighted Moving Average calculates the average by assigning different weights to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Probability Density Function Moving Average - PDFMA
Probability density function based MA is a sort of weighted moving average that uses probability density function to calculate the weights. By its nature it is similar to a lot of digital filters.
Quadratic Regression Moving Average - QRMA
A quadratic regression is the process of finding the equation of the parabola that best fits a set of data. This moving average is an obscure concept that was posted to Forex forums in around 2008.
Regularized EMA - REMA
The regularized exponential moving average (REMA) by Chris Satchwell is a variation on the EMA (see Exponential Moving Average) designed to be smoother but not introduce too much extra lag.
Range Weighted EMA - RWEMA
This indicator is a variation of the range weighted EMA. The variation comes from a possible need to make that indicator a bit less "noisy" when it comes to slope changes. The method used for calculating this variation is the method described by Lee Leibfarth in his article "Trading With An Adaptive Price Zone".
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrow's price.
Simple Decycler - SDEC
The Ehlers Simple Decycler study is a virtually zero-lag technical indicator proposed by John F. Ehlers. The original idea behind this study (and several others created by John F. Ehlers) is that market data can be considered a continuum of cycle periods with different cycle amplitudes. Thus, trending periods can be considered segments of longer cycles, or, in other words, low-frequency segments. Applying the right filter might help identify these segments.
Simple Loxx Moving Average - SLMA
A three stage moving average combining an adaptive EMA, a Kalman Filter, and a Kauffman adaptive filter.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA .
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed LWMA - SLWMA
A smoothed version of the LWMA
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average ( SMA ), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen as an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA ( Smoothed Moving Average ). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a Two pole Butterworth filter combined with a 2-bar SMA ( Simple Moving Average ) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three-pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA . They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three-pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, its signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two-pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two-pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers .
Variable Index Dynamic Average - VIDYA
Variable Index Dynamic Average Technical Indicator ( VIDYA ) was developed by Tushar Chande. It is an original method of calculating the Exponential Moving Average ( EMA ) with the dynamically changing period of averaging.
Variable Moving Average - VMA
The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility.
Volume Weighted EMA - VEMA
An EMA that uses a volume and price weighted calculation instead of the standard price input.
Volume Weighted Moving Average - VWMA
A Volume Weighted Moving Average is a moving average where more weight is given to bars with heavy volume than with light volume. Thus the value of the moving average will be closer to where most trading actually happened than it otherwise would be without being volume weighted.
Zero-Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero-Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers , as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero-Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA , this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
Exotic Triggers
This version of Baseline allows the user to select from exotic or source triggers. An exotic trigger determines trend by either slope or some other mechanism that is special to each moving average. A source trigger is one of 32 different source types from Loxx's Exotic Source Types. You can read about these source types here:
Volatility Goldie Locks Zone
This volatility filter is the standard first pass filter that is used for all NNFX systems despite the additional volatility/volume filter used in step 5. For this filter, price must fall into a range of maximum and minimum values calculated using multiples of volatility. Unlike the standard NNFX systems, this version of volatility filtering is separated from the core Baseline and uses it's own moving average with Loxx's Exotic Source Types. The green and red dots at the top of the chart denote whether a candle qualifies for a either or long or short respectively. The green and red triangles at the bottom of the chart denote whether the trigger has crossed up or down and qualifies inside the Goldie Locks zone. White coloring of the Goldie Locks Zone mean line is where volatility is too low to trade.
Volatility Types Included
v1.0 Included Volatility
Close-to-Close
Close-to-Close volatility is a classic and most commonly used volatility measure, sometimes referred to as historical volatility .
Volatility is an indicator of the speed of a stock price change. A stock with high volatility is one where the price changes rapidly and with a bigger amplitude. The more volatile a stock is, the riskier it is.
Close-to-close historical volatility calculated using only stock's closing prices. It is the simplest volatility estimator. But in many cases, it is not precise enough. Stock prices could jump considerably during a trading session, and return to the open value at the end. That means that a big amount of price information is not taken into account by close-to-close volatility .
Despite its drawbacks, Close-to-Close volatility is still useful in cases where the instrument doesn't have intraday prices. For example, mutual funds calculate their net asset values daily or weekly, and thus their prices are not suitable for more sophisticated volatility estimators.
Parkinson
Parkinson volatility is a volatility measure that uses the stock’s high and low price of the day.
The main difference between regular volatility and Parkinson volatility is that the latter uses high and low prices for a day, rather than only the closing price. That is useful as close to close prices could show little difference while large price movements could have happened during the day. Thus Parkinson's volatility is considered to be more precise and requires less data for calculation than the close-close volatility .
One drawback of this estimator is that it doesn't take into account price movements after market close. Hence it systematically undervalues volatility . That drawback is taken into account in the Garman-Klass's volatility estimator.
Garman-Klass
Garman Klass is a volatility estimator that incorporates open, low, high, and close prices of a security.
Garman-Klass volatility extends Parkinson's volatility by taking into account the opening and closing price. As markets are most active during the opening and closing of a trading session, it makes volatility estimation more accurate.
Garman and Klass also assumed that the process of price change is a process of continuous diffusion (Geometric Brownian motion). However, this assumption has several drawbacks. The method is not robust for opening jumps in price and trend movements.
Despite its drawbacks, the Garman-Klass estimator is still more effective than the basic formula since it takes into account not only the price at the beginning and end of the time interval but also intraday price extremums.
Researchers Rogers and Satchel have proposed a more efficient method for assessing historical volatility that takes into account price trends. See Rogers-Satchell Volatility for more detail.
Rogers-Satchell
Rogers-Satchell is an estimator for measuring the volatility of securities with an average return not equal to zero.
Unlike Parkinson and Garman-Klass estimators, Rogers-Satchell incorporates drift term (mean return not equal to zero). As a result, it provides a better volatility estimation when the underlying is trending.
The main disadvantage of this method is that it does not take into account price movements between trading sessions. It means an underestimation of volatility since price jumps periodically occur in the market precisely at the moments between sessions.
A more comprehensive estimator that also considers the gaps between sessions was developed based on the Rogers-Satchel formula in the 2000s by Yang-Zhang. See Yang Zhang Volatility for more detail.
Yang-Zhang
Yang Zhang is a historical volatility estimator that handles both opening jumps and the drift and has a minimum estimation error.
We can think of the Yang-Zhang volatility as the combination of the overnight (close-to-open volatility ) and a weighted average of the Rogers-Satchell volatility and the day’s open-to-close volatility . It considered being 14 times more efficient than the close-to-close estimator.
Garman-Klass-Yang-Zhang
Garman-Klass-Yang-Zhang (GKYZ) volatility estimator consists of using the returns of open, high, low, and closing prices in its calculation.
GKYZ volatility estimator takes into account overnight jumps but not the trend, i.e. it assumes that the underlying asset follows a GBM process with zero drift. Therefore the GKYZ volatility estimator tends to overestimate the volatility when the drift is different from zero. However, for a GBM process, this estimator is eight times more efficient than the close-to-close volatility estimator.
Exponential Weighted Moving Average
The Exponentially Weighted Moving Average (EWMA) is a quantitative or statistical measure used to model or describe a time series. The EWMA is widely used in finance, the main applications being technical analysis and volatility modeling.
The moving average is designed as such that older observations are given lower weights. The weights fall exponentially as the data point gets older – hence the name exponentially weighted.
The only decision a user of the EWMA must make is the parameter lambda. The parameter decides how important the current observation is in the calculation of the EWMA. The higher the value of lambda, the more closely the EWMA tracks the original time series.
Standard Deviation of Log Returns
This is the simplest calculation of volatility . It's the standard deviation of ln(close/close(1))
Pseudo GARCH(2,2)
This is calculated using a short- and long-run mean of variance multiplied by θ.
θavg(var ;M) + (1 − θ) avg (var ;N) = 2θvar/(M+1-(M-1)L) + 2(1-θ)var/(M+1-(M-1)L)
Solving for θ can be done by minimizing the mean squared error of estimation; that is, regressing L^-1var - avg (var; N) against avg (var; M) - avg (var; N) and using the resulting beta estimate as θ.
Average True Range
The average true range (ATR) is a technical analysis indicator, introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems, that measures market volatility by decomposing the entire range of an asset price for that period.
The true range indicator is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close. The ATR is then a moving average, generally using 14 days, of the true ranges.
True Range Double
A special case of ATR that attempts to correct for volatility skew.
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
TPRC - Time-based Price Range Channel [Free]You define a time range (hours and minutes) and based on this, the indicator draws the price range (high / low) as a channel in your chart - projected into the future and, if desired, also for past days. You are completely free to choose the time range and NOT limited to trading sessions.
In addition, further lines are drawn below / above the price range channel at a distance that you can define (based on the price range).
These lines can serve as target levels, support and resistance lines.
What functions does this free version of the indicator offer?
Selection of the time range for which a price range is to be determined and based on this a price range channel is to be created
Display of 3 additional lines above / below the price range channel
Distance between the lines: height of the price range
Display of the price range channels for the past 3 days as well as for the current day.
Lines are shown in gray
For the past days, only those lines are displayed that are required due to the distance to the price. This will make your chart cleaner.
(Details about the premium version can be found on TradingView: )
How can this indicator be used?
The time-based price range channel and the additional lines can serve as support and resistance lines.
Whether you are enthusiastic about scalping, swing trading or another type of trading,… “TPRC - Time-based Price Range Channel” could therefore support you. Try it out. I want to invite you to experiment and thereby adapt “TPRC” to your own way of trading.
Due to the free choice with regard to the time span, for example “opening range (break-out)” strategies and the like are conceivable. Much has been written or published as a video on the subjects of "Price Range Trading", "Range Trading", "Opening Range Breakout Trading" and the like. Research on this is recommended to every interested trader. I would be happy to provide a list of interesting articles on this topic - just send me a short message.
Due to the implementation and the functions, the focus is definitely on intraday trading strategies.
For which timeframe is this indicator intended?
This indicator was developed for Chart Time Intervals between 1 and 120 minutes, whereby the following Chart Time Intervals have proven themselves and successfully withstand tests: 1, 2, 5, 10, 15, 30, 60, 90
What do I need to consider?
It may be advisable to add further indicators and an analysis of the market structure in order to confirm the signals issued by the indicator. Please note that when you make adjustments to any strategy, you always carry out particularly detailed tests.
Will this indicator be further developed and will I receive free updates?
All my indicators are of course constantly updated and, if possible and with the aim of the indicator justifiable, supplemented by user requests.
An example of the use of this indicator (here with the premium version)
#revision: dv699
Robocan DeluxeThis script is equipped with
🔵 Robo 4
It offers strategic trading entry and exit points, so you can preserve capital before markets tumble, and take full advantage as they start to rebound. At a glance, market timing indicators tell investors whether market conditions are right or whether it’s safer on the sideline.
Truly unique tool for technical analysis for the financial market as it includes calculation of specific metrics like SAR + MACD + Price Movement.
You no longer have to worry about spending hours in front of the computer looking for a trade.You can use the indicator on every assets available on your broker.
🔵 Change Candle Color
You can change the colors depending on buy 4 and sell 4 signals. It helps traders a lot to see the direction clearly.
🔵 BB Signals
This strategy uses the MACD indicator together with the Bollinger Bands to sell when the price is above the upper Bollinger Band (and to buy when this value is below the lower band). This simple strategy only triggers when both the MACD and the Bollinger Band indicators are at the same time in a overbought or oversold condition.
Removed Upper & Lower bands & SMA20 from the charts.
To see bands, You can activate the Bollinger Bands on EngineeringRobo - not the Deluxe version.
If you are buying it with BB BUY, No need to wait for BB Sell to sell it. Vice versa.
They are not the opposite to each other. Get your profit at your target level and move on.
🔵 Ultimate MA crossover signals :
As a general guideline,the idea behind trading crossovers is that a short-term moving average above a long-term moving average is an indicator of upward momentum in a stock & crypto , and the opposite is true about a short-term average trading below a long-term average.
For this guideline to be of use, the moving average should have provided insights into trends and trend changes in the past.
Are the settings of SMA 50 & SMA 200 really the best for Golden Cross and Death Cross?
Have you ever tested ROI for MA cross strategies?
Do you think MA 20 and MA 50 are the best pair for traders?
Do you know that Exponential Moving Average ( EMA ) beats the Simple Moving Average ( SMA ) ?
In order to answer these questions we applied some brute mathematical force and tested 1830 different MA combination to find out the best pair through 50 years of data across stock / forex and 5 years of data across crypto markets . We have done the hard work and you get the benefits .
P.S. The oldest date is 1872 on SPCFD:SPX chart on tradingview . Almost 150 years of backtesting is possible from 1872 to 2020!;
🔵 Cloud Signals :
This is a strategy made from ichimoku cloud , together with MACD . Changed Ichimoku cloud formula. Based on that we have a long or a short entry.
it is an effective strategy when paired with a trailing stop loss. Removed standard line ( Kijun Sen ), turning line ( Tenkan Sen ), lagging line ( Chikou Span ) and senkou lines, added buy & sell signals. Traders can use EngineeringRobo's cloud to see the clouds on the chart.
This method doesn't work in sideways markets, only in volatile trending markets.
🔵 EMA TrendLines & Custom Moving Average
Moving averages help traders isolate the trend in a security or market, or the lack of one, and can also signal when a trend may be reversing. Two of the most common types are simple and exponential. We will look at the differences between these two moving averages, helping traders determine which one to use. Simple moving averages and the more complex exponential moving averages help visualize the trend by smoothing out price movements.
Each trader must decide which MA is better for his or her particular strategy. Many shorter-term traders use EMAs because they want to be alerted as soon as the price is moving the other way. Longer-term traders tend to rely on SMAs since these investors aren't rushing to act and prefer to be less actively engaged in their trades.
🟠50 And 200 Day Moving Average Rules
Trend reversal (downtrend to uptrend) - MA 50 crossover MA 200 from below.
Trend reversal (uptrend to downtrend) - MA 50 crossover MA 200 from above.
Weekly open –close above MA 20 ( bullish trend )
Weekly open –close below MA 50 ( Bearish trend )
Super Bullish : The candle is above MA 20 ( Daily )
Bullish : MA 50 Above MA 100 ( Daily )
Bearish : MA 50 below MA 100 ( Daily )
🔵 Fear & Greed Index
This strategy uses two unique EMA indicators in the formula.
1. Use the indicator to identify when investors are greedy.
2. Use the indicator to identify potential bottom levels
For best testing example:
This strategy finds the TOP AREA OF THE BULL MARKET AND THE BOTTOM AREA OF THE BEAR MARKET.
1. Use the indicator to identify when investors are greedy
2. Use the indicator to identify potential bottom levels
For a case study:
Open BLX Chart, pick 1D time frame, open only FEAR & Greed Index
🟢Exiting Green Area: Beginning of Bull Market🟢
🔴Exiting Red Area: Beginning of Bear Market🔴
Price crosses above red line= Entering overbought zone
Price crosses below red line= Exiting overbought zone
Price crosses below green line= Entering oversold zone
Price crosses above green line = Exiting oversold zone
BEST TIME TO SELL: When the candle is inside & exiting the Red Area
BEST TIME TO BUY: When the candle is in the Green Area
🔵 Automated Fibonacci Retracements
Automatic Fibonacci let you replace subjective manual analysis with objective automated analysis so you always get the best Fibonacci levels, this can really improve the quality of your trading decisions.
Fibonacci retracements are often used to identify the end of a correction or a counter-trend bounce. Corrections and counter-trend bounces often retrace a portion of the prior move. While short 23.6% retracements do occur, the 38.2-61.8% zone covers the most possibilities (with 50% in the middle). This zone may seem big, but it is just a reversal alert zone. One of the best ways to use the Fibonacci retracement tool is to spot potential support and resistance levels and see if they line up with Fibonacci retracement levels.
Even though Fibonacci levels are extremely popular among technical traders, one should not rely solely on Fibonacci retracement and extension levels in trading. Fibonacci tools return the best results when combined with other technical tools, such as trendlines , chart patterns, candlestick patterns, channels or technical indicators.
If you are following any Deluxe signals, you should always wait for the candle close before buying or selling.
The signal can come and go anytime during the live candle. ALL indicators do that, that is not considered repainting.
Repainting is when a signal appears, the candle is closed, and when you refresh the chart it disappeared. It is logical that until the candle is closed the signal is not decided yet, hence the alert setup as Once per bar Close.
Deluxe never repaints! Yes, you heard it right: you will never have to worry about signal changing after the candle is closed.
*** Added alarm system alerts for all signals.
________________________________________________________________________ Timeframes _____________________________________________________________________
Our recommendations to get the best results:
Swing Trading Crypto : Use 1D Time Frame Candles
Swing Trading Stocks : Use 1W Time Frame Candles
Swing Trading Commodities : Use 1W Time Frame Candles
Day Trading Crypto : Use 3H Time Frame Candles
Day Trading Stocks : Use 1D Time Frame Candles
Day Trading Commodities : Use 1D Time Frame Candles
Not recommended any other time frames.
What Is Risk-Reward Ratio RRR?
Your risk-reward ratio is how much you risk per trade, relative to how much you expect to make (reward).
When trading with Robo , you should always aim for a bigger reward compared to your risk per trade.
A good rule is only to risk 1% per trade for day traders and 5% per trade for swing trader . Robo follows strong risk management rules on the algorithm .
One of the biggest advantages of algo trading is removing human emotion from the financial markets,humans trading are susceptible to emotions that lead to irrational decisions. Robo doesn't have to think or feel good to make a trade. If conditions are met, it enters. When the trade goes the wrong way or hits a profit target, It exits. It doesn't get angry at the market or feel invincible after making a few good trades.
It gives you all the tools and information you need for day-to-day trading and investing, while also keeping a great buy and sell signals! No excuse to lose in any financial market anymore! Try now!
How can you add the algorithm into your chart?
1. Login to TradingView.com
2. From the homepage, click on ‘Chart’ in the top navigation bar
3. Select “Indicators” on the top-center-middle panel
4. In the indicator library, type "Robocan Deluxe "
5. Use the website link below to obtain access to this indicator
[blackcat] L5 Linebreak MasterLevel: 5
Background
Like many people in the Tradingview community, I have been studying how to apply Line Break Chart to backtesting and live trading for long. However, as we all know, the official Tradingview Line Break Chart is not recommended for backtesting because it will lead to unrealistic backtesting results. So, I thought about developing a Line Break Chart that can be used for backtesting and trading. This "L5 Linebreak Master" is one of them that I am introducing today.
This indicator is based on OHLC data, because this kind of chart can be used for reliable backtesting and live trading in Tradingview. Therefore, the Linebreak Master in this script can actually coexist with the standard Japanese candlestick chart, but the trend reversal information it prompts is based on a principle similar to Line Break Chart. When the two can coexist and produce trading signals at the same time, this is really a very interesting invention.
Function
Linebreak charts were developed in Japan and popularized here by Steve Nisson in his book Beyond Candlesticks. The purpose of linebreak charts is to filter out market noise and give a clear indication of the current trend and trend reversals. As you may know, sometimes determining the current trend can be difficult due to market price movement that consolidates, and a trend reversal can be just as difficult. The green and red bars are called lines. Notice that whenever we have consecutive green lines, each line has a higher close than the previous one; when we have consecutive red lines each line has a lower close than the previous line.
First of all, this Linebreak chart can coexist in the main chart with the Japanese candlestick chart. However, many parts may be overlapped with Japanese candle stick to see it clearly. My recommendation is that users can click "Settings" of main chart and turn off default candle chart.
Secondly, this Linebreak chart can be used for backtesting strategies, because it is essentially OHLC data. And the absolute values of the price is based on the original OHLC data. The certainty of the trend reversal is relatively high. It can be compared with Japanese candlesticks on the timeline.
Finally, this Linebreak chart is embedded with a Linebreak intrinsic trading strategy, which can be used to locate entry points through red and green labels. This strategy supports Tradingview alerts. You can get "LONG" or "SHORT" trading reminders by creating alerts. In order to obtain a clear market structure, Zen Stroke (Autolength ZigZag ), Zen Kiss (Special Moving Averages), Fibnacci Retracement Golden Levels, Unique Fibnacci Time windows and Dynamic Fibonicci support and resistance arrows can be checked to be superimposed and displayed on the main chart to facilitate understanding of the temporal and spatial position of prices in the market.
A trading system based on linebreak charts must must have all entries and exits based on the close or open of a line. The two key values of a linebreak chart are the linebreak number and the underlying time interval. We can construct linebreak charts based on daily, weekly, 5 minute, hourly, any time frame. This allows us to adapt it for day trading or swing trading systems. I developped an inheret linebreak strategy with labels facilitate you to locate trend reversals.
Indicator Set
Linebreak Master Chart (新价图)
Zen Stroke (Auto ZigZag , 自动画缠论笔)
Zen Kiss Moving Averages (缠论均线)
Fibnacci Retracement Golden Levels (半对数-黄金分割线)
Unique Fibnacci Time windows (独创的斐波那契时间窗口)
Dynamic Fibonicci support and resistance arrows (动态斐波那契支撑和阻力箭头)
Inputs
Source Type: Open, High, Low, Close, Hl2, Hlc3, Lx, Vwapc, Vwaplx, Vwaphl2 (Case Sensitive)
Returns source input selection variant, default to "Close" if blank or typo.
Open --> open
High --> High
Low --> Low
Close --> Close
Hl2 --> hl2
Hlc3 --> hlc3
Lx --> Lao Xu 1949 Median Price
Vwapc --> vwap based on close
Vwaplx --> vwap based on Lao Xu 1949 Median Price
Vwaphl2 --> vwap based on hl2
Show Zen Stroke --> True as default
Show Fib Space based on Semi-LOG --> True as default
Zen Fractals Lookback Period --> 377 as default
Key Signal
Bars
Green bars for up trend
Red bars for down trend
Labels
Green labels for buy/long.
Red labels for sell/short.
Zen Stroke ( ZigZag )
Green line section for up stroke
Red line section for down stroke
Moving Averages
Yellow for fast line
Fuchsia for slow line
Pros and Cons
Suitable for discretionary trading and bots via alerts. However, only well selected trading pair and time frame can guarantee bot works.
Intuitive and effective, the output signal is more reliable after multi-indicator resonance
Remarks
My fourth L5 indicator published
Closed-source
Invite-only
How to get it?
500 Tradingview Coins Per Monthly Subscription
5000 Tradingview Coins Per Yearly Subscription
