IDX - 5UPThe UDX-5UP is a custom indicator designed to assist traders in identifying trends, entry and exit signals, and market reversal moments with greater accuracy. It combines price analysis, volume, and momentum (RSI) to provide clear buy ("Buy") and sell ("Sell") signals across any asset and timeframe, whether you're a scalper on the 5M chart or a swing trader on the 4H chart. Inspired by robust technical analysis strategies, the UDX-5UP is ideal for traders seeking a reliable tool to operate in volatile markets such as cryptocurrencies, forex, stocks, and futures.
Components of the UDX-5UP
The UDX-5UP consists of three main panels that work together to provide a comprehensive view of the market:
Main Panel (Price):
Pivot Supertrend: A dynamic line that changes color to indicate the trend. Green for an uptrend (look for buys), red for a downtrend (look for sells).
SMAs (Simple Moving Averages): Two SMAs (8 and 21 periods) to confirm the trend direction. When the SMA 8 crosses above the SMA 21, it’s a bullish signal; when it crosses below, it’s a bearish signal.
Entry/Exit Signals: "Buy" (green) and "Sell" (red) labels are plotted on the chart when entry or exit conditions are met.
Volume Panel:
Colored Volume Bars: Green bars indicate dominant buying volume, while red bars indicate dominant selling volume.
Volume Moving Average (MA 20): A blue line that helps identify whether the current volume is above or below the average, confirming the strength of the movement.
RSI Panel:
RSI (Relative Strength Index): Calculated with a period of 14, with overbought (70) and oversold (30) lines to identify momentum extremes.
Divergences: The indicator detects divergences between the RSI and price, plotting signals for potential reversals.
How the UDX-5UP Works
The UDX-5UP uses a combination of rules to generate buy and sell signals:
Buy Signal ("Buy"):
The Pivot Supertrend changes from red to green.
The SMA 8 crosses above the SMA 21.
The volume is above the MA 20, with green bars (indicating buying pressure).
The RSI is rising and, ideally, below 70 (not overbought).
Example: On the 4H chart, the price of Tether (USDT) is at 0.05515. The Pivot Supertrend turns green, the SMA 8 crosses above the SMA 21, the volume shows green bars above the MA 20, and the RSI is at 46. The UDX-5UP plots a "Buy".
Sell Signal ("Sell"):
The Pivot Supertrend changes from green to red.
The SMA 8 crosses below the SMA 21.
The volume is above the MA 20, with red bars (indicating selling pressure).
The RSI is falling and, ideally, above 70 (overbought).
Example: On the 4H chart, the price of Tether rises to 0.05817. The Pivot Supertrend turns red, the SMA 8 crosses below the SMA 21, the volume shows red bars, and the RSI is above 70. The UDX-5UP plots a "Sell".
RSI Divergences:
The indicator identifies bullish divergences (price makes a lower low, but RSI makes a higher low) and bearish divergences (price makes a higher high, but RSI makes a lower high), plotting alerts for potential reversals.
Adjustable Settings
The UDX-5UP is highly customizable to suit your trading style:
Pivot Supertrend Period: Default is 2. Increase to 3 or 4 for more conservative signals (fewer false positives, but more lag).
SMA Periods: Default is 8 and 21. Adjust to 5 and 13 for smaller timeframes (e.g., 5M) or 13 and 34 for larger timeframes (e.g., 1D).
RSI Period: Default is 14. Reduce to 10 for greater sensitivity or increase to 20 for smoother signals.
Overbought/Oversold Levels: Default is 70/30. Adjust to 80/20 in volatile markets.
Display Panels: You can enable/disable the volume and RSI panels to simplify the chart.
How to Use the UDX-5UP
Identify the Trend:
Use the Pivot Supertrend and SMAs to determine the market direction. Uptrend: look for buys. Downtrend: look for sells.
Confirm with Volume and RSI:
For buys: Volume above the MA 20 with green bars, RSI rising and below 70.
For sells: Volume above the MA 20 with red bars, RSI falling and above 70.
Enter the Trade:
Enter a buy when the UDX-5UP plots a "Buy" and all conditions are aligned.
Enter a sell when the UDX-5UP plots a "Sell" and all conditions are aligned.
Plan the Exit:
Use Fibonacci levels or support/resistance on the price chart to set targets.
Exit the trade when the UDX-5UP plots an opposite signal ("Sell" after a buy, "Buy" after a sell).
Tips for Beginners
Start with Larger Timeframes: Use the 4H or 1D chart for more reliable signals and less noise.
Combine with Other Indicators: Use the UDX-5UP with tools like Fibonacci or the Candles RSI (another powerful indicator) to confirm signals.
Practice in Demo Mode: Test the indicator in a demo account before using real money.
Manage Risk: Always use a stop-loss and don’t risk more than 1-2% of your capital per trade.
Why Use the UDX-5UP?
Simplicity: Clear "Buy" and "Sell" signals make trading accessible even for beginners.
Versatility: Works on any asset (crypto, forex, stocks) and timeframe.
Multiple Confirmations: Combines price, volume, and momentum to reduce false signals.
Customizable: Adjust the settings to match your trading style.
Author’s Notes
The UDX-5UP was developed based on years of trading and technical analysis experience. It is an evolution of tested strategies, designed to help traders navigate volatile markets with confidence. However, no indicator is infallible. Always combine the UDX-5UP with proper risk management and fundamental analysis, especially in unpredictable markets. Feedback is welcome – leave a comment or reach out with suggestions for improvements!
Cerca negli script per "support resistance"
Nasdaq Risk Calculator - DTFXNasdaq Risk Calculator
This Pine Script (v5) indicator provides a dashboard-style tool for calculating trading risk based on manually input tick measurements for Nasdaq futures contracts (NQ and MNQ). Designed as an overlay on the main chart, it displays key risk metrics in a fixed-position table, allowing traders to assess contract type, lot size, risk ticks, and actual risk in dollars relative to a user-defined risk amount.
Features:
Manual Tick Input: Enter the number of ticks (e.g., from a ruler measurement) to define the price range for risk calculation.
Risk Calculation: Computes the optimal contract (NQ or MNQ), number of lots, risk ticks (half the input range), and actual risk in dollars, targeting the specified risk amount (default: $100).
Customizable Dashboard: Displays results in a single-cell table with a semi-transparent white background and gray border, positioned in one of four chart corners (Top Left, Top Right, Bottom Left, Bottom Right) via user selection.
Reset Option: Includes a toggle to clear the dashboard and start anew.
How to Use:
Add the indicator to your chart (best suited for NQ or MNQ futures).
In the settings, input your "Risk Amount ($)" and "Ticks" (e.g., 400 for a 100-point range on NQ).
Select the "Dashboard Corner" to position the table.
View the calculated risk details in the chosen corner.
Adjust inputs or reset as needed.
Notes:
NQ tick value is $5.00 (NQ_MULTIPLIER = 5.0), and MNQ tick value is $0.50 (MNQ_MULTIPLIER = 0.5).
Ideal for traders planning risk based on measured price ranges, such as support/resistance zones.
[blackcat] L3 Composite Trading System with ControlOVERVIEW
This indicator combines three distinct trading strategies into a unified decision-making framework. Utilizing KDJ oscillators, MACD divergence analysis, and adaptive signal filtering techniques, it provides actionable buy/sell signals validated against multi-period momentum trends and structural support/resistance levels.
FEATURES
Integrated KDJ oscillator with weighted moving average smoothing
Dynamic MACD difference visualization normalized against price volatility
Multi-layered confirmation process: • Momentum convergence/divergence tracking
• Candle pattern recognition (Yellow/Fuchsia flags)
• SMAs cross-validation (20/60-day thresholds)
Adaptive risk controls via tunable α parameter adjustment
HOW TO USE
Set Alpha Period parameter matching market cycle characteristics
Monitor primary trend direction via candle coloring (green/red zones)
Confirm directional bias using: ▪️ KDJ-J line position relative to zero axis ▪️ MACD histogram slope persistence (>3 bar validation)
Execute trades only when: • Buy/Sell labels align across both oscillator panels • Coincide with candle flag transitions (e.g., red→yellow) • Validate against concurrent SMA breakout conditions
LIMITATIONS
Lag inherent in EMA-based components during rapid reversals
Requires minimum 60-bar history for full functionality
Sensitive to fractal scaling due to normalization methods
Does not account for liquidity/volume dynamics
NOTES
• Yellow/Fuchsia flags reflect relative strength changes vs prior session
• SMA crossover validations have 16-bar lookback memory retention
Dynamic Volume Profile Oscillator | AlphaAlgosDynamic Volume Profile Oscillator | AlphaAlgos
Overview
The Dynamic Volume Profile Oscillator is an advanced technical analysis tool that transforms traditional volume analysis into a responsive oscillator. By creating a dynamic volume profile and measuring price deviation from volume-weighted equilibrium levels, this indicator provides traders with powerful insights into market momentum and potential reversals.
Key Features
• Volume-weighted price deviation analysis
• Adaptive midline that adjusts to changing market conditions
• Beautiful gradient visualization with 10-level intensity zones
• Fast and slow signal lines for trend confirmation
• Mean reversion mode that identifies price extremes relative to volume
• Fully customizable sensitivity and smoothing parameters
Technical Components
1. Volume Profile Analysis
The indicator builds a dynamic volume profile by:
• Collecting recent price and volume data within a specified lookback period
• Calculating a volume-weighted mean price (similar to VWAP)
• Measuring how far current price has deviated from this weighted average
• Adjusting this deviation based on historical volatility
2. Oscillator Calculation
The oscillator offers two calculation methods:
• Mean Reversion Mode (default): Measures deviation from volume-weighted mean price, normalized to reflect potential overbought/oversold conditions
• Standard Mode : Normalizes volume activity to identify unusual volume patterns
3. Adaptive Zones
The indicator features dynamic zones that:
• Center around an adaptive midline that reflects the average oscillator value
• Expand and contract based on recent volatility (standard deviation)
• Visually represent intensity through multi-level gradient coloring
• Provide clear visualization of bullish/bearish extremes
4. Signal Generation
Trading signals are generated through:
• Main oscillator line position relative to the adaptive midline
• Crossovers between fast (5-period) and slow (15-period) signal lines
• Color changes that instantly identify trend direction
• Distance from the midline indicating trend strength
Configuration Options
Volume Analysis Settings:
• Price Source - Select which price data to analyze
• Volume Source - Define volume data source
• Lookback Period - Number of bars for main calculations
• Profile Calculation Periods - Frequency of profile recalculation
Oscillator Settings:
• Smoothing Length - Controls oscillator smoothness
• Sensitivity - Adjusts responsiveness to price/volume changes
• Mean Reversion Mode - Toggles calculation methodology
Threshold Settings:
• Adaptive Midline - Uses dynamic midline based on historical values
• Midline Period - Lookback period for midline calculation
• Zone Width Multiplier - Controls width of bullish/bearish zones
Display Settings:
• Color Bars - Option to color price bars based on trend direction
Trading Strategies
Trend Following:
• Enter long positions when the oscillator crosses above the adaptive midline
• Enter short positions when the oscillator crosses below the adaptive midline
• Use signal line crossovers for entry timing
• Monitor gradient intensity to gauge trend strength
Mean Reversion Trading:
• Look for oscillator extremes shown by intense gradient colors
• Prepare for potential reversals when the oscillator reaches upper/lower zones
• Use divergences between price and oscillator for confirmation
• Consider scaling positions based on gradient intensity
Volume Analysis:
• Use Standard Mode to identify unusual volume patterns
• Confirm breakouts when accompanied by strong oscillator readings
• Watch for divergences between price and volume-based readings
• Use extended periods in extreme zones as trend confirmation
Best Practices
• Adjust sensitivity based on the asset's typical volatility
• Use longer smoothing for swing trading, shorter for day trading
• Combine with support/resistance levels for optimal entry/exit points
• Consider multiple timeframe analysis for comprehensive market view
• Test different profile calculation periods to match your trading style
This indicator is provided for informational purposes only. Always use proper risk management when trading based on any technical indicator. Not financial advise.
TR FVG Finder 1.0TR FVG Finder 1.0 - Identify High-Probability Trading Zones
Unlock the power of Fair Value Gaps (FVGs) with this advanced TradingView indicator! Designed for traders seeking high-probability setups, the Fair Value Gap Detector identifies key price imbalances on your chart, helping you spot potential reversal and continuation zones with precision.
Key Features:
Accurate FVG Detection: Automatically detects bullish and bearish Fair Value Gaps based on a proven 3-candle pattern, highlighting areas where price is likely to return.
Customizable Display: Shows the most recent 3 FVGs by default (combined bullish and bearish), with an option to adjust the number of FVGs displayed.
Visual Clarity: Draws semi-transparent boxes (green for bullish FVGs, red for bearish FVGs) that extend 15 candles to the right, making it easy to track key levels.
Versatile for All Markets: Works on any timeframe and instrument—perfect for forex, stocks, crypto, and commodities like XAU/USD (gold).
User-Friendly: Simple to use with customizable settings, ideal for both beginner and experienced traders.
How It Works:
The indicator identifies FVGs by analyzing a 3-candle pattern:
- Bullish FVG: When the high of the candle two bars back is below the low of the current candle.
- Bearish FVG: When the low of the candle two bars back is above the high of the current candle. These gaps often act as magnets for price, making them powerful zones for trading strategies like breakouts, pullbacks, or reversals.
Why Use This Indicator?
- Enhance your technical analysis with a proven concept used by institutional traders.
- Spot high-probability trading opportunities with clear visual cues.
- Save time by automating FVG detection—no manual drawing required.
Best Practices:
- Use on lower timeframes (e.g., 15-minute or 1-hour) for more frequent FVGs, especially in volatile markets like forex or crypto.
- Combine with other indicators (e.g., support/resistance, volume) for confirmation.
- Ideal for strategies like ICT (Inner Circle Trader) concepts, Smart Money trading, and price action analysis.
Regards,
Trader Riaz
Power Balance Bull&Bear - CoffeeKillerPower Balance Bull&Bear - CoffeeKiller Indicator Guide
Welcome traders! This guide will walk you through the Power Balance Bull&Bear indicator, a unique and powerful market analysis tool developed by CoffeeKiller that visualizes the ongoing battle between buyers and sellers in any market.
Core Concept: Buyers vs. Sellers
The foundation of this indicator rests on a simple yet profound concept: every price movement in the market represents a battle between buyers and sellers.
Positive Green Line: Buyer Power
- Represents cumulative buying pressure in the market
- Tracks positive directional movement over a specified period
- Rising positive line indicates increasing buying momentum
- Peaks in the positive line show moments of maximum buyer dominance
Negative Red Line: Seller Power
- Represents cumulative selling pressure in the market
- Tracks negative directional movement over a specified period
- Falling negative line indicates increasing selling momentum
- Troughs in the negative line show moments of maximum seller dominance
Master Line: Market Balance
- Calculated as the difference between positive and negative movements
- Above zero: buyers are in control
- Below zero: sellers are in control
- Peaks and troughs: moments of extreme buyer or seller dominance
Core Components
1. Directional Movement Analysis
- Cumulative measurement of price changes in both directions
- Normalization for consistent visualization
- Optional smoothing for clearer signals
- Custom box size for sensitivity control
2. Distance Measurement
- Calculation of separation between buyer and seller lines
- Convergence and divergence thresholds
- Dynamic fill coloring based on distance trends
- Distance trend visualization
3. Peak Detection System
- Identification of local maxima and minima in buyer/seller dominance
- Background highlighting of significant peaks
- Zero-line cross detection for trend changes
- Visual cues for market extremes
4. Trend Analysis
- Buyer/seller line crossovers for major trend signals
- Distance trending for momentum confirmation
- Status monitoring (Near, Far, Normal)
- Direction tracking for both buyer and seller lines
Main Features
Time Resolution Settings
- Normal mode: calculations based on chart timeframe
- Custom resolution mode: calculations based on specified timeframe
- Multi-timeframe analysis capabilities
- Flexible time projection options
Visual Elements
- Color-coded buyer and seller lines
- Dynamic fill coloring based on convergence/divergence
- Background highlighting for significant peaks
- Distance line with threshold markers
Signal Generation
- Buyer/seller crossover alerts
- Convergence/divergence notifications
- Peak detection signals
- Status change alerts
Analysis Table(I personally don't use the table it was coded to take longer signals to show strength or weakness in overall trend)
- Current distance measurement
- Distance trend indication
- Status monitoring (Near, Far, Normal)
- Buyer and seller line trend tracking
Trading Applications
1. Trend Identification
- Buyer line crossing above seller line: bullish trend beginning
- Seller line crossing above buyer line: bearish trend beginning
- Distance between lines: trend strength
- Distance trending: momentum confirmation
2. Reversal Detection
- Peak formation after extended trend: potential exhaustion
- Buyer/seller line convergence: decreasing trend strength
- Distance falling below convergence threshold: potential trend change
- Background highlighting: visual cue for significant peaks
3. Momentum Analysis
- Increasing distance: accelerating trend
- Decreasing distance: decelerating trend
- Distance above divergence threshold: strong momentum
- Distance below convergence threshold: weak momentum
4. Market Balance Assessment
- Buyer line trend: indicates strength/weakness of bulls
- Seller line trend: indicates strength/weakness of bears
- Master line position relative to zero: overall market bias
- Distance between lines: consensus or disagreement in the market
Optimization Guide
1. Period Settings
- Longer period: smoother signals, less noise, fewer false signals
- Shorter period: more responsive, captures minor moves, potentially more noise
- Default (20): balanced approach for most timeframes
2. Box Size Parameter
- Smaller box size: more sensitive to price changes
- Larger box size: less sensitive, focuses on major moves
- Default (0.001): calibrated for typical price ranges
3. Distance Thresholds
- Convergence threshold: determines when lines are considered "near"
- Divergence threshold: determines when lines are considered "far"
- Adjusting these based on volatility of the instrument
4. Color Customization
- Positive Green line: representing buyer strength
- Negative Red line: representing seller strength
- Diverging fill: when the gap between buyers and sellers is increasing
- Converging fill: when buyers and sellers are moving closer together
Best Practices
1. Signal Confirmation
- Wait for buyer/seller crossovers to confirm
- Look for background highlighting at peaks
- Check distance trends for momentum confirmation
- Use the analysis table for additional context
2. Timeframe Selection
- Lower timeframes: more signals, potential noise
- Higher timeframes: cleaner signals, less frequent
- Custom resolution: allows comparison across timeframes
- Consider using multiple timeframes for confirmation
3. Market Context
- Strong buyer line rising + weak seller line: very bullish
- Strong seller line falling + weak buyer line: very bearish
- Both lines rising: volatile uptrend
- Both lines falling: volatile downtrend
4. Combining with Other Indicators
- Use with trend indicators for confirmation
- Pair with oscillators for overbought/oversold conditions
- Combine with volume analysis for validation
- Consider support/resistance levels when peaks form
Advanced Trading Strategies
1. Buyer/Seller Balance Strategy
- Enter long when buyer line crosses above seller line
- Enter short when seller line crosses above buyer line
- Use distance trend for filtering quality of signals
- Exit when distance falls below convergence threshold
2. Peak Trading Strategy
- Identify significant peaks with background highlighting
- Look for consecutive lower peaks in buyer line for shorting opportunities
- Look for consecutive higher troughs in seller line for buying opportunities
- Use master line crosses through zero as confirmation
3. Convergence/Divergence Strategy
- Enter positions when distance exceeds divergence threshold (strong trend)
- Take partial profits when distance starts decreasing
- Exit fully when distance falls below convergence threshold
- Re-enter when a new trend forms with increasing distance
4. Line Trend Combination Strategy
- Strongest bullish signal: Rising buyer line + falling seller line + increasing distance
- Strongest bearish signal: Falling buyer line + rising seller line + increasing distance
- Potential reversal signal: Decreasing distance + peak formation + line trend change
- Continuation signal: Consistent buyer/seller dominance + increasing distance after consolidation
Practical Analysis Examples
Bullish Market Scenario
- Buyer line trends upward as buying pressure increases
- Seller line remains flat or trends downward as selling pressure decreases
- Distance between lines expands, showing divergence (strong trend)
- Positive background highlights appear at new peaks in buyer dominance
- Master line moves further above zero
Bearish Market Scenario
- Seller line trends downward as selling pressure increases
- Buyer line remains flat or trends downward as buying pressure decreases
- Distance between lines expands, showing divergence (strong trend)
- Negative background highlights appear at new troughs in seller dominance
- Master line moves further below zero
Consolidation Scenario
- Buyer and seller lines move sideways
- Distance between lines narrows, showing convergence
- Few or no new peak highlights appear
- Master line oscillates close to the zero line
- Analysis table shows "Stable" trends for both buyer and seller lines
Understanding Market Dynamics Through Power Balance
At its core, this indicator provides a unique lens to visualize the ongoing battle between bulls and bears:
1. **Relative Strength**: When the buyer line rises faster than the seller line, bulls are gaining strength relative to bears - a bullish signal. When the seller line falls faster than the buyer line, bears are dominating - a bearish signal.
2. **Market Consensus**: Convergence between lines suggests market participants are reaching consensus about price direction. Divergence suggests growing disagreement and potential for stronger moves.
3. **Exhaustion Signals**: Major peaks in either line that are highlighted by background colors suggest moments where one side (buyers or sellers) has reached maximum strength - often precursors to reversals.
4. **Trend Confirmation**: The status indicators (Near, Far, Normal) provide context about the current market phase, helping confirm whether a trend is establishing, continuing strongly, or potentially fading.
Remember:
- Combine signals from buyer/seller lines, distance measurements, and peak formations
- Use appropriate timeframe settings for your trading style
- Monitor the analysis table for additional context
- Consider market conditions and correlate with price action
This indicator works best when:
- Used as part of a comprehensive trading system
- Combined with proper risk management
- Applied with an understanding of current market conditions
- Signals are confirmed by price action and other indicators
**DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Trend Catcher SwiftEdgeTrend Catcher SwiftEdge
Overview
The Trend Catcher SwiftEdge is a simple yet effective tool designed to help traders identify potential trend directions using two Simple Moving Averages (SMAs). It plots two SMAs based on the high and low prices of the chart, visually highlights trend conditions, and provides buy/sell labels to assist with trade entries. This indicator is best used as part of a broader trading strategy and should not be relied upon as a standalone signal generator.
How It Works
Two SMAs: The indicator calculates two SMAs: one based on the lowest price (Low) and one based on the highest price (High) over a user-defined period (default: 20).
Dynamic Colors:
Green: When the price is above both SMAs (indicating a potential uptrend).
Red: When the price is below both SMAs (indicating a potential downtrend).
Purple: When the price is between the SMAs (indicating consolidation).
The SMAs and the background between them change color dynamically to reflect the current trend condition.
Buy/Sell Labels:
A "Buy" label appears when an entire candlestick (including its low) crosses above both SMAs, marking the start of a potential uptrend.
A "Sell" label appears when an entire candlestick (including its high) crosses below both SMAs, marking the start of a potential downtrend.
To reduce noise, only one label is shown per trend direction. The indicator resets when the price enters the consolidation zone (purple), allowing for a new signal when the next trend begins.
Settings
SMA Length: Adjust the period of the SMAs (default: 20). A longer period smooths the SMAs and focuses on larger trends, while a shorter period makes the indicator more sensitive to price changes.
How to Use
Add the indicator to your chart.
Look for "Buy" labels to consider potential long entries during uptrends (green zone).
Look for "Sell" labels to consider potential short entries during downtrends (red zone).
Use the purple consolidation zone to prepare for potential breakouts.
Always combine this indicator with other forms of analysis (e.g., support/resistance, volume, or other indicators) to confirm signals.
Important Notes
This indicator is a tool to assist with identifying trend directions and potential entry points. It does not guarantee profits and should be used as part of a comprehensive trading strategy.
False signals can occur, especially in choppy or ranging markets. Consider using additional filters or confirmations to improve reliability.
Backtest the indicator on your chosen market and timeframe to understand its behavior before using it in live trading.
Feedback
If you have suggestions or feedback, feel free to leave a comment. Happy trading!
Session Profile AnalyzerWhat’s This Thing Do?
Hey there, trader! Meet the Session Profile Analyzer (SPA) your new go-to pal for breaking down market action within your favorite trading sessions. It’s an overlay indicator that mixes Rotation Factor (RF), Average Subperiod Range (ASPR), Volume Value Area Range (VOLVAR), and TPO Value Area Range (TPOVAR) into one tidy little toolkit. Think of it as your market vibe checker momentum, volatility, and key levels, all served up with a grin.
The Cool Stuff It Does:
Rotation Factor (RF) : Keeps tabs on whether the market’s feeling bullish, bearish, or just chilling. It’s like a mood ring for price action shows “UP ↑,” “DOWN ↓,” or “NONE ↔.”
ASPR : Averages out the range of your chosen blocks. Big swings? Tiny wiggles? This tells you the session’s energy level.
VOLVAR : Dives into volume to find where the action’s at, with a smart twist it adjusts price levels based on the session’s size and tiny timeframe moves (capped at 128 so your chart doesn’t cry).
TPOVAR : Grabs lower timeframe data to spot where price hung out the most, TPO-style. Value zones, anyone?
Dynamic Precision : No ugly decimal overload SPA matches your asset’s style (2 decimals for BTC, 5 for TRX, you get it).
How to Play With It:
Session Start/End : Pick your trading window (say, 0930-2200) and a timezone (America/New_York, or wherever you’re at).
Block Size : Set the chunk size for RF and ASPR like 30M if you’re into half-hour vibes.
Value Area Timeframe : Go micro with something like 1S for VOLVAR and TPOVAR precision.
Label : Size it (small to huge), color it (white, neon pink, whatever), and slap it where you want (start, mid, end).
How It All Works (No PhD Required):
RF : Imagine breaking your session into blocks (via Block Size). For each block, SPA checks if the high beats the last high (+1) or not (0), and if the low dips below the last low (-1) or not (0). Add those up, and boom positive RF means upward vibes, negative means downward, near zero is “meh.” Use it to catch trends or spot when the market’s napping.
ASPR : Takes those same blocks, measures high-to-low range each time, and averages them. It’s your volatility pulse big ASPR = wild ride, small ASPR = snooze fest. Great for sizing up session action.
VOLVAR : Here’s the fun part. It takes the session’s full range (high minus low), divides it by the average range of your tiny Value Area Timeframe bars (e.g., 1S), and picks a sensible number of price levels capped at 128 so it doesn’t overthink. Then it bins volume into those levels, finds the busiest price (POC), and grows a 70% value area around it. Perfect for spotting where the big players parked their cash.
TPOVAR : Grabs midpoints from those tiny timeframe bars, sorts them, and snips off the top and bottom 15% to find the 70% “value zone” where price chilled the most. Think of it as the market’s comfort zone great for support/resistance hunting.
Why You’ll Like It:
Whether you’re scalping crypto, swinging forex, or dissecting stocks, SPA’s got your back. Use RF to catch momentum shifts like jumping on an “UP ↑” trend or fading a “DOWN ↓” exhaustion. ASPR’s your secret weapon for sizing up trades: a big ASPR (say, 100 on BTC) means you can aim for juicy targets (like 1-2x ASPR) or set invalidations tight when it’s tiny (e.g., 0.001 on TRX) to dodge chop. VOLVAR and TPOVAR are your level-finders nail those key zones where price loves to bounce or break, perfect for entries, stops, or profit grabs. It’s like having a trading co-pilot who’s chill but knows their stuff.
Heads-Up:
Load enough history for those micro timeframes to shine (1S needs some bars to work with).
Keeps things light won’t bog down your chart even with decent-sized sessions.
Let’s Roll:
Slap SPA on your chart, tweak it to your style, and watch it spill the beans on your session. Happy trading, fam may your pips be plenty and your losses few!
Adaptive Bollinger BandsAdaptive Bollinger Bands
This indicator displays Bollinger Bands with parameters that dynamically adjust based on market volatility. Unlike standard Bollinger Bands with fixed parameters, this version adaptively modifies both the period and standard deviation multiplier in real-time based on measured market conditions.
Key Features
Dynamic adjustment of period and standard deviation based on normalized volatility
Color-coded visualization of current volatility regime (expanding, normal, contracting)
Integration with Keltner Channels for band refinement
Bandwidth analysis for volatility regime identification
Optional on-chart parameter labels showing current settings
Band cross alerts and visual markers
Volatility Visualization
The indicator uses color-coding to display different volatility regimes:
Red: Expanding volatility regime (higher measured volatility)
Blue: Normal volatility regime (average measurements)
Green: Contracting volatility regime (lower measured volatility)
Technical Information
The indicator calculates volatility by analyzing price returns over a configurable lookback period (default 50 bars). The standard deviation of returns is normalized against historical extremes to create an adaptive scaling factor.
Band adaptation occurs through two primary mechanisms:
1. Period adjustment: Higher volatility uses shorter periods (more responsive), while lower volatility uses longer periods (more stable)
2. Standard deviation multiplier adjustment: Higher volatility increases the multiplier (wider bands), while lower volatility decreases it (tighter bands)
The middle band uses a simple moving average with the adaptive period. Additional refinement occurs through Keltner Channel integration, which can tighten bands when contained within Keltner boundaries.
Volatility regimes are determined by analyzing Bollinger Bandwidth relative to its recent history, providing contextual information about the current market state.
Settings Customization
The indicator provides extensive customization options:
- Base parameters (period and standard deviation)
- Adaptive range limits (min/max period and standard deviation)
- Keltner Channel parameters for band refinement
- Bandwidth analysis settings
- Display options for visual elements
Limitations and Considerations
All technical indicators have inherent limitations and should not be used in isolation
Past performance does not guarantee future results
The indicator requires sufficient historical data for proper volatility normalization
Smaller timeframes may produce more noise in the adaptive calculations
Parameters may require adjustment for different markets and trading styles
Band crosses are not trading signals on their own and should be evaluated with other factors
This indicator is designed to provide objective information about market volatility conditions and potential support/resistance zones. Always combine with other analysis methods within a comprehensive trading approach.
Momentum Volume Divergence (MVD) EnhancedMomentum Volume Divergence (MVD) Enhanced is a powerful indicator that detects price-momentum divergences and momentum suppression for reversal trading. Optimized for XRP on 1D charts, it features dynamic lookbacks, ATR-adjusted thresholds, and SMA confirmation. Signals include strong divergences (triangles) and suppression warnings (crosses). Includes a detailed user guide—try it out and share your feedback!
Setup: Add to XRP 1D chart with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA crossovers. See full guide for details!
Disclaimer: This indicator is for educational purposes only, not financial advice. Trading involves risk—use at your discretion.
Momentum Volume Divergence (MVD) Enhanced Indicator User Guide
Version: Pine Script v6
Designed for: TradingView
Recommended Use: XRP on 1-day (1D) chart
Date: March 18, 2025
Author: Herschel with assistance from Grok 3 (xAI)
Overview
The Momentum Volume Divergence (MVD) Enhanced indicator is a powerful tool for identifying price-momentum divergences and momentum suppression patterns on XRP’s 1-day (1D) chart. Plotted below the price chart, it provides clear visual signals to help traders spot potential reversals and trend shifts.
Purpose
Detect divergences between price and momentum for buy/sell opportunities.
Highlight momentum suppression as warnings of fading trends.
Offer actionable trading signals with intuitive markers.
Indicator Components
Main Plot
Volume-Weighted Momentum (vw_mom): Blue line showing momentum adjusted by volume.
Above 0 = bullish momentum.
Below 0 = bearish momentum.
Zero Line: Gray dashed line at 0, separating bullish/bearish zones.
Key Signals
Strong Bearish Divergence:
Marker: Red triangle at the top.
Meaning: Price makes a higher high, but momentum weakens, confirmed by a drop below the 5-day SMA.
Action: Potential sell/short signal.
Strong Bullish Divergence:
Marker: Green triangle at the bottom.
Meaning: Price makes a lower low, but momentum strengthens, confirmed by a rise above the 5-day SMA.
Action: Potential buy/long signal.
Bearish Suppression:
Marker: Orange cross at the top + red background.
Meaning: Strong bullish momentum with low volume in a volume downtrend, suggesting fading strength.
Action: Warning to avoid longs or exit early.
Bullish Suppression:
Marker: Yellow cross at the bottom + green background.
Meaning: Strong bearish momentum with low volume in a volume uptrend, suggesting fading weakness.
Action: Warning to avoid shorts or exit early.
Debug Plots (Optional)
Volume Ratio: Gray line (volume vs. its MA) vs. yellow line (threshold).
Momentum Threshold: Purple lines (positive/negative momentum cutoffs).
Smoothed Momentum: Orange line (raw momentum).
Confirmation SMA: Purple line (price trend confirmation).
Labels
Text labels (e.g., "Bear Div," "Bull Supp") mark detected patterns.
How to Use the Indicator
Step-by-Step Trading Process
1. Monitor the Chart
Load your XRP 1D chart with the indicator applied.
Observe the blue vw_mom line and signal markers.
2. Spot a Signal
Primary Signals: Look for red triangles (strong_bear) or green triangles (strong_bull).
Warnings: Note orange crosses (suppression_bear) or yellow crosses (suppression_bull).
3. Confirm the Signal
For Strong Bullish Divergence (Buy):
Green triangle appears.
Price closes above the 5-day SMA (purple line) and a recent swing high.
Optional: Volume ratio (gray line) exceeds the threshold (yellow line).
For Strong Bearish Divergence (Sell):
Red triangle appears.
Price closes below the 5-day SMA and a recent swing low.
Optional: Volume ratio (gray line) falls below the threshold (yellow line).
4. Enter the Trade
Long:
Buy at the close of the signal bar.
Stop loss: Below the recent swing low or 2 × ATR(14) below entry.
Short:
Sell/short at the close of the signal bar.
Stop loss: Above the recent swing high or 2 × ATR(14) above entry.
5. Manage the Trade
Take Profit:
Aim for a 2:1 or 3:1 risk-reward ratio (e.g., risk $0.05, target $0.10-$0.15).
Or exit when an opposite suppression signal appears (e.g., orange cross for longs).
Trailing Stop:
Move stop to breakeven after a 1:1 RR move.
Trail using the 5-day SMA or 2 × ATR(14).
Early Exit:
Exit if a suppression signal appears against your position (e.g., suppression_bull while short).
6. Filter Out Noise
Avoid trades if a suppression signal precedes a divergence within 2-3 days.
Optional: Add a 50-day SMA on the price chart:
Longs only if price > 50-SMA.
Shorts only if price < 50-SMA.
Example Trades (XRP 1D)
Bullish Trade
Signal: Green triangle (strong_bull) at $0.55.
Confirmation: Price closes above 5-SMA and $0.57 high.
Entry: Buy at $0.58.
Stop Loss: $0.53 (recent low).
Take Profit: $0.63 (2:1 RR) or exit on suppression_bear.
Outcome: Price hits $0.64, exit at $0.63 for profit.
Bearish Trade
Signal: Red triangle (strong_bear) at $0.70.
Confirmation: Price closes below 5-SMA and $0.68 low.
Entry: Short at $0.67.
Stop Loss: $0.71 (recent high).
Take Profit: $0.62 (2:1 RR) or exit on suppression_bull.
Outcome: Price drops to $0.61, exit at $0.62 for profit.
Tips for Success
Combine with Price Levels:
Use support/resistance zones (e.g., weekly pivots) to confirm entries.
Monitor Volume:
Rising volume (gray line above yellow) strengthens signals.
Adjust Sensitivity:
Too many signals? Increase div_strength_threshold to 0.7.
Too few signals? Decrease to 0.3.
Backtest:
Review 20-30 past signals on XRP 1D to assess performance.
Avoid Choppy Markets:
Skip signals during low volatility (tight price ranges).
Troubleshooting
No Signals:
Lower div_strength_threshold to 0.3 or mom_threshold_base to 0.2.
Check if XRP’s volatility is unusually low.
False Signals:
Increase sma_confirm_length to 7 or add a 50-SMA filter.
Indicator Not Loading:
Ensure the script compiles without errors.
Customization (Optional)
Change Colors: Edit color.* values (e.g., color.red to color.purple).
Add Alerts: Use TradingView’s alert menu for "Strong Bearish Divergence Confirmed," etc.
Test Other Assets: Experiment with BTC or ETH, adjusting inputs as needed.
Disclaimer
This indicator is for educational purposes only and not financial advice. Trading involves risk, and past performance does not guarantee future results. Use at your own discretion.
Setup: Use on XRP 1D with defaults (mom_length_base=8, vol_length_base=10). Signals: Red triangle (sell), Green triangle (buy), Orange cross (bear warning), Yellow cross (bull warning). Confirm with 5-day SMA cross. Stop: 2x ATR(14). Profit: 2:1 RR or suppression exit. Full guide available separately!
Initial BalanceInitial Balance Pro – Precision Trading with Market Open Dynamics
The Initial Balance Pro indicator is designed to provide traders with a clear, structured view of the market's opening price action, helping to identify key levels for intraday trading. It automatically calculates and plots the initial balance (IB) high and low, allowing traders to gauge early market sentiment and potential breakout zones.
Features:
✅ Customizable Initial Balance Period – Set your preferred IB range, whether the first 30, 60, or any custom minutes after market open.
✅ Breakout & Rejection Zones – Visually highlight key areas where price action may find support, resistance, or breakout opportunities.
✅ Midpoint & Extension Levels – Identify the IB midpoint and customizable extension levels to anticipate possible price targets.
✅ Session Flexibility – Works across various trading sessions, including pre-market and post-market hours.
✅ Alerts & Notifications – Get notified when price breaches IB levels, helping you stay ahead of key moves.
Why Use Initial Balance?
The initial balance is a fundamental concept in market profile analysis. Institutional traders often set their positions within this range, making it a crucial reference point for potential trend continuation or reversal. When price breaks above or below the IB, it can signal high-probability trade opportunities, especially when combined with volume and order flow analysis.
Perfect For:
📈 Futures & Forex Traders – Utilize the IB for breakout and mean-reversion strategies.
📊 Equity & Options Traders – Identify key levels for intraday momentum plays.
🔍 Price Action Traders – Improve trade execution with a structured market approach.
Optimize your intraday trading strategy with Initial Balance Pro , giving you a refined edge in market structure and price action analysis. 🚀
Volume Profile [ActiveQuants]The Volume Profile indicator visualizes the distribution of trading volume across price levels over a user-defined historical period. It identifies key liquidity zones, including the Point of Control (POC) (price level with the highest volume) and the Value Area (price range containing a specified percentage of total volume). This tool is ideal for traders analyzing support/resistance levels, market sentiment , and potential price reversals .
█ CORE METHODOLOGY
Vertical Price Rows: Divides the price range of the selected lookback period into equal-height rows.
Volume Aggregation: Accumulates bullish/bearish or total volume within each price row.
POC: The row with the highest total volume.
Value Area: Expands from the POC until cumulative volume meets the user-defined threshold (e.g., 70%).
Dynamic Visualization: Rows are plotted as horizontal boxes with widths proportional to their volume.
█ KEY FEATURES
- Customizable Lookback & Resolution
Adjust the historical period ( Lookback ) and granularity ( Number of Rows ) for precise analysis.
- Configurable Profile Width & Horizontal Offset
Control the relative horizontal length of the profile rows, and set the distance from the current bar to the POC row’s anchor.
Important: Do not set the horizontal offset too high. Indicators cannot be plotted more than 500 bars into the future.
- Value Area & POC Highlighting
Set the percentage of total volume required to form the Value Area , ensuring that key volume levels are clearly identified.
Value Area rows are colored distinctly, while the POC is marked with a bold line.
- Flexible Display Options
Show bullish/bearish volume splits or total volume.
Place the profile on the right or left of the chart.
- Gradient Coloring
Rows fade in color intensity based on their relative volume strength .
- Real-Time Adjustments
Modify horizontal offset, profile width, and appearance without reloading.
█ USAGE EXAMPLES
Example 1: Basic Volume Profile with Value Area
Settings:
Lookback: 500 bars
Number of Rows: 100
Value Area: 70%
Display Type: Up/Down
Placement: Right
Image Context:
The profile appears on the right side of the chart. The POC (orange line) marks the highest volume row. Value Area rows (green/red) extend above/below the POC, containing 70% of total volume.
Example 2: Total Volume with Gradient Colors
Settings:
Lookback: 800 bars
Number of Rows: 100
Profile Width: 60
Horizontal Offset: 20
Display Type: Total
Gradient Colors: Enabled
Image Context:
Rows display total volume in a single color with gradient transparency. Darker rows indicate higher volume concentration.
Example 3: Left-Aligned Profile with Narrow Value Area
Settings:
Lookback: 600 bars
Number of Rows: 100
Profile Width: 45
Horizontal Offset: 500
Value Area: 50%
Profile Placement: Left
Image Context:
The profile shifts to the left, with a tighter Value Area (50%).
█ USER INPUTS
Calculation Settings
Lookback: Historical bars analyzed (default: 500).
Number of Rows: Vertical resolution of the profile (default: 100).
Profile Width: Horizontal length of rows (default: 50).
Horizontal Offset: Distance from the current bar to the POC (default: 50).
Value Area (%): Cumulative volume threshold for the Value Area (default: 70%).
Volume Display: Toggle between Up/Down (bullish/bearish) or Total volume.
Profile Placement: Align profile to the Right or Left of the chart.
Appearance
Rows Border: Customize border width/color.
Gradient Colors: Enable fading color effects.
Value Area Colors: Set distinct colors for bullish and bearish Value Area rows.
POC Line: Adjust color, width, and visibility.
█ CONCLUSION
The Volume Profile indicator provides a dynamic, customizable view of market liquidity. By highlighting the POC and Value Area, traders can identify high-probability reversal zones, gauge market sentiment, and align entries/exits with key volume levels.
█ IMPORTANT NOTES
⚠ Lookback Period: Shorter lookbacks prioritize recent activity but may omit critical levels.
⚠ Horizontal Offset Limitation: Avoid excessively high offsets (e.g., close to ±300). TradingView restricts plotting indicators more than 500 bars into the future, which may truncate or hide the profile.
⚠ Risk Management: While the indicator highlights areas of concentrated volume, always use it in combination with other technical analysis tools and proper risk management techniques.
█ RISK DISCLAIMER
Trading involves substantial risk. The Volume Profile highlights historical liquidity but does not predict future price movements. Always use stop-loss orders and confirm signals with additional analysis. Past performance is not indicative of future results.
📊 Happy trading! 🚀
Alpha Wave System @DaviddTechAlpha Wave DaviddTech System by DaviddTech is an advanced, meticulously engineered trading indicator adhering strictly to the DaviddTech methodology. Rather than simply combining popular indicators, Alpha Wave strategically integrates specially-selected technical components—each optimized to enhance their combined strengths while neutralizing individual weaknesses, providing traders with clear, consistent, and high-probability trading signals.
Valid Setup:
🎯 Why This Combination Matters:
Quantum Adaptive Moving Average (Baseline):
This advanced adaptive MA provides superior responsiveness to market shifts by dynamically adjusting its sensitivity, clearly indicating the primary market direction and reducing lag compared to standard moving averages.
WavePulse Indicator (CoralChannel-based Confirmation #1):
Precisely detects shifts in momentum and price acceleration, allowing traders to anticipate trend continuation or reversals effectively, significantly enhancing trade accuracy.
Quantum Channel (G-Channel-based Confirmation #2):
Dynamically captures price volatility ranges, offering reliable trend structure validation and clear support/resistance channels, further increasing signal reliability.
Momentum Density (Volatility Filter):
Ensures traders enter only during optimal volatility conditions by quantifying momentum intensity, effectively filtering out low-quality, low-momentum scenarios.
Dynamic ATR-based Trailing Stop (Exit System):
Automatically manages trade exits with optimized ATR-based stop levels, systematically securing profits while effectively managing risk.
These meticulously integrated components reinforce each other's strengths, providing traders with a robust, disciplined, and clearly structured approach aligned with the DaviddTech methodology.
🔥 Latest Update – Enhanced BUY & SELL Signals:
Alpha Wave now clearly displays automated BUY and SELL signals directly on your chart, coupled with a comprehensive dashboard table for immediate signal validation. Signals appear only when all components—including baseline, confirmations, and volatility—are in alignment, significantly improving trade accuracy and confidence.
📌 How Traders Benefit from the New Signals:
BUY Signal: Execute long trades when Quantum Adaptive MA signals bullish, confirmed by bullish WavePulse momentum, bullish Quantum Channel structure, and strong Momentum Density readings.
SELL Signal: Clearly marked for entering short positions under bearish market conditions verified through Quantum Adaptive MA, WavePulse bearish momentum, Quantum Channel confirmation, and sufficient Momentum Density.
Signal Validation: A dedicated dashboard provides immediate visual strength metrics, allowing traders to quickly validate signals before execution, significantly enhancing trading discipline and consistency.
📊 Recommended DaviddTech Trading Plan:
Baseline: Determine overall market direction using Quantum Adaptive MA. Only trade in the indicated baseline direction.
Confirmations: Validate potential entries with WavePulse and Quantum Channel alignment.
Volatility Filter: Confirm sufficient market volatility with Momentum Density before entry.
Trailing Stop Loss: Manage risk and secure profits using the dynamic ATR-based trailing stop system.
Entries & Exits: Only execute trades when signals and dashboard components unanimously align.
🖼️ Visual Examples:
Alpha Wave by DaviddTech clearly demonstrates how an intelligently integrated system provides significantly superior trading insights compared to standalone indicators, ensuring precise, disciplined, and profitable market entries and exits across all trading environments.
Penny King**Penny King Trend Indicator**
The **Penny King** is a powerful and versatile trend-following indicator designed to assist traders in identifying market trends and dynamic support/resistance levels. This tool effectively leverages Adaptive True Range (ATR) and Exponential Moving Average (EMA) or a Delta Price method to establish a trailing stop level, ensuring traders can capture strong trends while minimizing risk.
### **Key Features:**
1. **Dual Calculation Modes:**
- **ATR & EMA-Based Mode (Mode 0)**: Uses ATR (Average True Range) and EMA (Exponential Moving Average) to determine the trailing stop level dynamically.
- **Delta Price Mode (Mode 1)**: Utilizes a fixed price change threshold (Delta Price) to define stop levels based on market volatility.
2. **Adjustable Parameters for Customization:**
- **Range (akk_range)**: Defines the lookback period for the ATR calculation.
- **IMA Range (ima_range)**: Specifies the EMA smoothing factor applied to the ATR.
- **Factor (akk_factor)**: Multiplier applied to the ATR-based calculation to refine trailing stop sensitivity.
- **Delta Price (DeltaPrice)**: Fixed price-based stop level for an alternative trend calculation.
3. **Intelligent Trailing Stop Mechanism:**
- The trailing stop level dynamically adjusts based on price movement, following the trend while preventing premature exits.
- If the price moves in favor of the trend, the stop level is adjusted accordingly to lock in profits.
- If the price reverses against the trend, the stop level remains intact until a new trend direction is established.
4. **Efficient Market Adaptability:**
- The ATR-based method ensures adaptability to changing market conditions, expanding stop levels in high volatility and tightening them in low volatility periods.
- The Delta Price method offers a fixed approach, ideal for traders who prefer a non-ATR-based system for managing stop levels.
5. **Clean Visual Representation:**
- The indicator plots a clear, orange-colored trend stop line that dynamically follows the market movement.
- Provides a visual cue to determine potential entry and exit points efficiently.
### **How to Use:**
- **Trend Confirmation:**
- If the price remains above the trend stop line, it signals a bullish trend.
- If the price falls below the trend stop line, it indicates a bearish trend.
- **Trade Entries & Exits:**
- Consider long positions when the price remains above the trend stop.
- Consider short positions when the price stays below the trend stop.
- Utilize the trend stop line as a dynamic trailing stop-loss mechanism to protect gains and minimize losses.
- **Parameter Optimization:**
- Adjust the **Range**, **IMA Range**, and **Factor** to optimize settings based on the trading asset and time frame.
- Experiment with **Delta Price Mode** for assets where fixed price-based trailing stops are more effective.
### **Conclusion:**
The **Penny King Trend Indicator** is an essential tool for traders looking to capture market trends while ensuring effective risk management. Whether you prefer ATR-based adaptability or a fixed price stop approach, this indicator provides the flexibility needed to navigate different market conditions successfully. By integrating the **Penny King**, traders can enhance their trading strategy with a reliable and efficient trend-following system.
VWAP with ADX Buy/Sell Signals and 50 MA BackgroundThis Pine Script combines several technical indicators to create a comprehensive chart with buy and sell signals based on the ADX and VWAP, as well as background color changes depending on the price relative to the 50-period simple moving average (SMA). Here's a breakdown of what each part of the code does:
1. VWAP Settings
Anchor Period: You can select different periods such as "Session", "Week", "Month", etc. to define the anchor period for the VWAP.
Source: The source for VWAP is set to the typical price (hlc3).
Offset: Allows for shifting the VWAP by a specified amount.
2. ADX Settings
ADX Length: The period used to calculate the ADX.
ADX Smoothing: Used to smooth the ADX for better clarity.
ADX Threshold: Used to filter out weak trends (i.e., signals when ADX > 20).
3. ADX and VWAP Calculation
The ADX values are calculated using ta.dmi(), which returns the +DI, -DI, and ADX lines.
VWAP is calculated using ta.vwap(), based on the selected price source.
4. Buy/Sell Conditions
Buy Signal: A buy signal is generated when:
The +DI crosses above the -DI (indicating an uptrend).
The ADX is above 20 (indicating a strong trend).
The closing price is above the VWAP (indicating bullish market sentiment).
Sell Signal: A sell signal occurs when:
The -DI crosses above the +DI (indicating a downtrend).
The ADX is above 20 (indicating a strong trend).
The closing price is below the VWAP (indicating bearish market sentiment).
5. VWAP Bands
The standard deviation of the price is calculated using ta.stdev(), and the bands are plotted at multiples of the standard deviation (1, 2, and 3).
These bands are used to highlight possible overbought or oversold conditions.
6. 50-period SMA and Background Color
The script calculates a 50-period Simple Moving Average (SMA).
The background color is then changed based on whether the price is above or below the 50-period SMA. If the price is above the SMA, the background is green (bullish), and if it’s below, it’s red (bearish).
7. Plots
The script includes plots for the VWAP line, the ADX and DI lines (optional), and the upper and lower bands.
The buy and sell signals are plotted as shapes with text labels ("BUY" and "SELL") that appear below or above the price bars.
Final Notes:
Band Plots: Three levels of bands (green, olive, teal) are plotted using standard deviation multipliers (1, 2, and 3 times the standard deviation).
Background Color: The background color changes depending on whether the price is above or below the 50 SMA, giving a visual cue for bullish or bearish market conditions.
This indicator aims to offer a multi-faceted view of the market with trend-following signals (via ADX), VWAP for intraday support/resistance, and background coloring to indicate the current trend strength based on the 50 SMA.
PVSRA Volume Suite with Volume DeltaPVSRA Volume Suite with Volume Delta
🔹 Overview
This indicator is a Volume Suite that enhances PVSRA (Price, Volume, Support, Resistance Analysis) by incorporating Volume Delta and AI-driven predictive alerts. It is designed to help traders analyze volume pressure, market trends, and price movements with color-coded visualizations.
📌 Key Features
PVSRA Volume Color Coding – Highlights vector candles based on extreme volume/spread conditions.
Volume Delta Analysis – Tracks buying/selling pressure using up/down volume data.
AI-Powered Predictive Alerts – Identifies potential trend shifts based on volume and trend context.
Volatility-Adjusted Thresholds – Dynamically adapts volume conditions based on ATR (Average True Range).
Customizable MA & Symbol Overrides – Allows traders to tweak settings for personalized market insights.
Debug & Diagnostic Labels – Shows statistical z-scores, thresholds, and volume dynamics.
How It Works
PVSRA Color Coding – The script classifies candles into four categories based on volume and spread analysis:
🔴 Red Vector → Extreme bearish volume/spread
🟢 Green Vector → Extreme bullish volume/spread
🟣 Violet Vector → Above-average bearish volume
🔵 Blue Vector → Above-average bullish volume
Volume Delta Calculation – Uses lower timeframe volume analysis to estimate up/down volume differentials.
Trend & Predictive Alerts – Combines EMA crossovers with statistical volume analysis to detect potential trend shifts.
Volatility Adaptation – Adjusts volume thresholds based on ATR, making signals more reliable in changing market conditions.
Custom Symbol Override – Fetches PVSRA data from a different instrument, useful for index-based volume analysis.
Customizable Inputs
PVSRA Color Settings – Modify candle color schemes for better visual clarity.
Volume Delta Colors – Customize delta volume body, wick, and border colors.
AI Settings – Tune z-score thresholds, lookback periods, and enable predictive alerts.
Symbol Overrides – Analyze volume from a different market or asset.
Moving Average (MA) Settings – Display a volume-based moving average for trend confirmation.
Important Notes
Works best on intraday timeframes where volume data is reliable.
Lower timeframe volume delta estimates might not be precise for all assets.
No guarantees of accuracy – Use alongside other confluence tools for decision-making.
Credits & Open-Source Notice
This script is based on PVSRA methodologies and integrates Volume Delta analysis. Special thanks to Traders Reality and TradingView for their contributions to volume-based analysis.
Liquidity Zones [ActiveQuants]The Liquidity Zones indicator detects price areas where high trading volume coincides with below-average volatility , critical zones where large players often accumulate or distribute positions. Ideal for spotting potential reversal points and strategic liquidity pools.
Core Detection Formula
Liquidity Zone = (Volume > SMA(Volume, Length) × Multiplier) AND (Short-Term Volatility < 0.5 × Average Volatility)
Volume Surge Detection
Compares current volume to its SMA (user-defined length).
Multiplies threshold with " Volume Threshold Multiplier " parameter.
Volatility Contraction Filter
Calculates 5-bar volatility (standard deviation of closes).
Compares to average volatility over " Price Std. Dev. Length " period.
Requires short-term volatility < 50% of average.
█ KEY FEATURES
Merging Consecutive Zones
If the " Merge Consecutive Zones " option is enabled, the indicator will:
Calculate the number of consecutive bars that meet the liquidity zone criteria.
Sum the volume of these consecutive bars.
Display only the most recent label for the merged zone (previous labels in the sequence are removed).
Displays volume in either
Raw units (" Units ").
Dollar-equivalent (" Currency Value ") using closing price.
Alerts
An alert condition is built into the script. Traders can selectively enable alerts via TradingView’s alert system. Whenever a liquidity zone is detected, an alert is triggered with the message: " High-volume and low-volatility zone detected! ".
█ USER INPUTS
- Liquidity Zones Color
Sets the background color for liquidity zones.
Default: Orange (with 70 transparency).
- Volume SMA Length
Determines the number of bars over which the volume simple moving average is calculated.
Default: 20 bars.
- Volume Threshold Multiplier
Multiplies the volume SMA to establish a threshold. A bar’s volume must exceed this product to be considered high volume.
Default: 2.0.
- Price Std. Dev. Length
The period used to calculate the standard deviation of the closing prices. This is the basis for measuring average volatility.
Default: 14 bars.
- Zone Volume
A toggle to display a label with the volume value on liquidity zones.
Allows you to choose how the volume is displayed: Units (shows raw volume) or Currency Value (multiplies volume by the current closing price).
Allows you to choose the font size of the volume label.
- Merge Consecutive Zones
When enabled, volumes from consecutive liquidity zones are summed into a single total, and only the most recent label is displayed (previous labels in the sequence are removed).
Default: Enabled.
- Show Last
Specifies the number of bars back that the indicator will evaluate and plot liquidity zones.
Default: 500 bars.
- Timeframe
Analysis period.
Default: Chart.
█ CONCLUSION
The Liquidity Zones indicator is a powerful tool for traders seeking to identify key areas on the chart where liquidity is concentrated, characterized by high volume and low volatility . With customizable settings for volume analysis and volatility measurement , this indicator can be integrated into a wide range of trading strategies. It not only highlights these zones visually but also provides volume data labels and alerts for timely decision-making.
█ IMPORTANT NOTES
⚠ Volume and Volatility Settings: Adjust the Volume SMA Length , Volume Threshold Multiplier , and Price Std. Dev. Length to suit the typical trading volume and volatility of the asset you are analyzing.
⚠ Confirmed Bars Only: Signals are generated only on confirmed bars. This minimizes false signals due to intra-bar noise and also prevents indicator repainting .
⚠ Risk Management: Liquidity zones may signal areas of potential accumulation or distribution, but they should be used in conjunction with other technical analysis tools (e.g., support/resistance levels, trendlines, or momentum indicators). Trading involves risk, and it is recommended to combine this indicator with proper risk management techniques.
█ RISK DISCLAIMER
Trading involves substantial risk of loss. Liquidity zones indicate potential interest areas but don't guarantee price reactions. Always confirm with additional analysis and proper risk management. Past performance is not indicative of future results.
📈 Happy trading! 🚀
New York Open LinesThis indicator marks key New York trading session opens on the chart. It draws horizontal lines at the New York Midnight Open (00:00 NY time) and the New York Economic Open (08:30 NY time) prices.
Key Features:
1) Customizable Line Styles & Colors:
* Users can choose between solid, dotted, or dashed lines.
* Colors are customizable for each open level.
2) Timeframe-Based Logic:
* For timeframes above 30 minutes:
- It retrieves the midnight (NYMO) and 8:30 AM (ETO) open prices using request.security_lower_tf().
- The script ensures the price is stored only once per day.
* For 30-minute timeframes and below:
- The script draws lines at the exact open prices as bars appear.
3) Line Management:
* The lines extend for 24 hours from the open.
* The previous day's lines are removed to keep the chart clean.
4) Session Reset:
* At the start of a new trading day, the stored NYMO and ETO prices reset to na to prepare for the next session.
This helps traders quickly identify key New York session levels, often used for support, resistance, and breakout trading strategies.
Modified RSIModified RSI (Round Number RSI)
Category: Oscillator / Momentum
Description
The Modified RSI (Round Number RSI) is an enhanced version of the classic Relative Strength Index (RSI), designed to provide clearer and more structured signals by rounding its values to whole numbers. This modification helps traders filter out noise, making trend analysis and overbought/oversold conditions easier to interpret.
Key Features:
✔ Rounded RSI Values – Instead of fluctuating with decimals, this RSI rounds values to whole numbers (e.g., 30, 50, 70) for clearer decision-making.
✔ Easier Signal Interpretation – Helps traders identify key RSI levels without distractions from small fluctuations.
✔ Customizable Lookback Period – Allows adjustment of RSI sensitivity to fit different trading strategies.
✔ Works on All Timeframes & Assets – Can be applied to stocks, forex, crypto, and futures.
How to Use It:
📌 Overbought & Oversold Levels:
RSI ≥ 70 → Market may be overbought (potential reversal or correction).
RSI ≤ 30 → Market may be oversold (potential buying opportunity).
📌 Trend Confirmation:
RSI staying above 50 signals bullish momentum.
RSI staying below 50 signals bearish momentum.
📌 Divergence Trading:
Price makes a new high, but RSI does not → Bearish Divergence (Possible Downtrend).
Price makes a new low, but RSI does not → Bullish Divergence (Possible Uptrend).
Best Used For:
📈 Day Traders & Swing Traders looking for simplified RSI signals.
📉 Trend Confirmation with moving averages or volume analysis.
⚡ Confluence Trading with support/resistance zones.
Why Use This Over Traditional RSI?
🔹 Removes unnecessary noise by rounding RSI values.
🔹 Helps traders focus on key levels (30, 50, 70).
🔹 Reduces decision fatigue for fast-paced trading.
CVD Oscillator - Short Term SwiftEdgeOverview
The CVD Oscillator - Short Term is a technical indicator designed to assist traders in identifying short-term buying and selling pressure in the market. It calculates the Cumulative Volume Delta (CVD) to measure the net volume difference between buying and selling activity, displayed as an oscillator in a separate panel. This indicator is tailored for short-term trading strategies, such as scalping or day trading, on low timeframes (e.g., 1-minute, 5-minute, or 15-minute charts).
How It Works
Cumulative Volume Delta (CVD): The indicator calculates CVD by assigning volume to buyers (when close > open) or sellers (when close < open). If close = open, the volume is neutral.
Short-Term Focus: The CVD is calculated over a user-defined lookback period (default: 10 candles), making it sensitive to recent market activity.
Normalization: The raw CVD is normalized by dividing it by the average volume (over a short period, default: 5 candles) and scaled to fit within a range of -100 to +100, creating an oscillator-like behavior.
Reset Options: Users can reset the CVD at specific intervals (e.g., every minute, 5 minutes, 15 minutes, or daily) to focus on intraday movements.
Live CVD Value: The raw (unnormalized) CVD value is displayed as a label on each candle for real-time monitoring.
Key Features
Customizable Lookback Period: Adjust the number of recent candles (default: 10) to calculate CVD, allowing for precise short-term analysis.
Flexible Reset Periods: Choose to reset the CVD every 1 minute, 5 minutes, 15 minutes, daily, or never, to suit your trading style.
Normalized Oscillator: The CVD is scaled between -100 and +100, making it easier to visualize short-term momentum.
Live CVD Labels: Displays the raw CVD value on each candle, with options to position the label above or below the oscillator line.
How to Use
Add to Chart: Apply the indicator to your chart on a low timeframe (e.g., 1m, 5m, or 15m) for short-term trading.
Interpret the Oscillator:
Above 0 (Green): Indicates buying pressure dominates.
Below 0 (Red): Indicates selling pressure dominates.
Near 0: Suggests neutral market conditions.
Monitor Live CVD: Use the raw CVD value (shown in the label) to assess the exact net volume difference over the lookback period.
Combine with Other Tools: Use the oscillator alongside price action, support/resistance levels, or other indicators to confirm trading decisions.
Adjust Settings:
CVD Lookback Period: Set to a small value (e.g., 5-20 candles) for scalping.
CVD Reset Period: Choose "1m" or "5m" for intraday resets to focus on very short-term trends.
Volume Average Length: Use a short length (e.g., 3-5) for faster responsiveness.
Scale Factor: Increase (e.g., 2.0-3.0) to amplify small changes in CVD.
Settings
CVD Reset Period: Defines when to reset the CVD calculation ("None", "D" for daily, "15m", "5m", "1m").
CVD Lookback Period (Candles): Number of recent candles to calculate CVD (default: 10).
Volume Average Length: Period for averaging volume to normalize CVD (default: 5).
CVD Scale Factor: Adjusts the sensitivity of the normalized CVD (default: 2.0).
CVD Label Position: Choose to display the raw CVD label above or below the oscillator line.
CVD Label Color: Customize the color of the CVD label (default: white).
Limitations
Not a Standalone Tool: This indicator should be used in conjunction with other technical analysis tools, as it does not guarantee profitable trades.
Volume Dependency: The accuracy of CVD relies on the quality of volume data provided by your broker or exchange.
Short-Term Focus: The indicator is optimized for low timeframes and may produce noise on higher timeframes unless adjusted.
No Predictive Claims: The CVD Oscillator reflects past and current market activity but does not predict future price movements.
Notes
This indicator is designed for informational purposes and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results.
Test the indicator on a demo account to understand its behavior before using it in live trading.
Feedback is welcome! If you have suggestions for improvements, feel free to share them in the comments.
ST_HTF_EMA### **ST_HTF_EMA – Higher Timeframe EMA Overlay**
#### **Description:**
The **ST_HTF_EMA** indicator plots a **21-period Exponential Moving Average (EMA)** from a **higher timeframe** onto the current chart. This allows traders to track key trend levels from a larger perspective while trading on a lower timeframe.
#### **Features:**
- **Customizable Timeframe:** The EMA is sourced from a user-defined timeframe (default: **5-minute**).
- **EMA Calculation:** Uses the **21-period EMA** for smoothing price action and identifying trend direction.
- **Envelope Bands (Optional):** A **0.75% envelope** can be toggled on to create upper and lower bands around the EMA for potential dynamic support/resistance zones.
- **Overlay on Chart:** The EMA and envelope bands are plotted directly on the price chart for easy visibility.
#### **How to Use:**
- Use the **EMA as a trend guide**—price above the EMA suggests bullish momentum, while price below indicates bearish momentum.
- Enable the **envelope bands** (if needed) to spot price deviations from the mean for possible reversal or continuation trades.
#### **Customization:**
- Modify the **timeframe** to adapt the EMA to different market structures.
- Adjust the **envelope percentage** to fine-tune sensitivity.
#### **Visuals:**
- The **EMA is plotted in yellow** for clear visibility.
- **Envelope bands (if enabled)** appear in yellow, with a subtle background highlight.
This indicator is ideal for traders who rely on **higher timeframe trend confirmation** while making decisions on lower timeframes. 🚀
[GYTS-CE] Market Regime Detector🧊 Market Regime Detector (Community Edition)
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is the Market Regime Detector?
The Market Regime Detector is an advanced, consensus-based indicator that identifies the current market state to increase the probability of profitable trades. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions, this detector helps you select appropriate tactics for different environments. Instead of forcing a single strategy across all market conditions, our detector allows you to adapt your approach based on real-time market behaviour.
💮 The Importance of Market Regimes
Markets constantly shift between different behavioural states or "regimes":
• Bullish trending markets - characterised by sustained upward price movement
• Bearish trending markets - characterised by sustained downward price movement
• Cyclic markets - characterised by range-bound, oscillating behaviour
Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. Detecting these regimes is essential for successful trading, which is why we've developed the Market Regime Detector to accurately identify market states using complementary detection methods.
🌸 --------- KEY FEATURES --------- 🌸
💮 Consensus-Based Detection
Rather than relying on a single method, our detector employs two complementary detection methodologies that analyse different aspects of market behaviour:
• Dominant Cycle Average (DCA) - analyzes price movement relative to its lookback period, a proxy for the dominant cycle
• Volatility Channel - examines price behaviour within adaptive volatility bands
These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes.
💮 Dominant Cycle Framework
The Market Regime Detector uses the concept of dominant cycles to establish a reference framework. You can input the dominant cycle period that best represents the natural rhythm of your market, providing a stable foundation for regime detection across different timeframes.
💮 Intuitive Parameter System
We've distilled complex technical parameters into intuitive controls that traders can easily understand:
• Adaptability - how quickly the detector responds to changing market conditions
• Sensitivity - how readily the detector identifies transitions between regimes
• Consensus requirement - how much agreement is needed among detection methods
This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms.
💮 Visual Market Feedback
The detector provides clear visual feedback about the current market regime through:
• Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic)
• Colour-coded price bars
• Strength indicators showing the degree of consensus
• Customizable colour schemes to match your preferences or trading system
💮 Integration in the GYTS suite
The Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the 🎼 Order Orchestrator where you can set how to trade the trending and cyclic regime.
🌸 --------- CONFIGURATION SETTINGS --------- 🌸
💮 Adaptability
Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter:
Very Low: Very slow adaptation, most stable but may miss regime changes
Low: Slower adaptation, more stability but less responsiveness
Normal: Balanced between stability and responsiveness
High: Faster adaptation, more responsive but less stable
Very High: Very fast adaptation, highly responsive but may generate false signals
This setting affects lookback periods and filter parameters across all detection methods.
💮 Sensitivity
Controls how sensitive the detector is to market regime transitions. This acts as a high-frequency, short-term change parameter:
Very Low: Requires substantial evidence to identify a regime change
Low: Less sensitive, reduces false signals but may miss some transitions
Normal: Balanced sensitivity suitable for most markets
High: More sensitive, detects subtle regime changes but may have more noise
Very High: Very sensitive, detects minor fluctuations but may produce frequent changes
This setting affects thresholds for regime detection across all methods.
💮 Dominant Cycle Period
This parameter allows you to specify the market's natural rhythm in bars. This represents a complete market cycle (up and down movement). Finding the right value for your specific market and timeframe might require some experimentation, but it's a crucial parameter that helps the detector accurately identify regime changes. Most of the times the cycle is between 20 and 40 bars.
💮 Consensus Mode
Determines how the signals from both detection methods are combined to produce the final market regime:
• Any Method (OR) : Signals bullish/bearish if either method detects that regime. If methods conflict (one bullish, one bearish), the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals.
• All Methods (AND) : Signals only when both methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes.
• Weighted Decision : Balances both methods with equal weighting. Provides a middle ground between sensitivity and stability.
Each mode also calculates a continuous regime strength value that's used for colour intensity in the 'unconstrained' display mode.
💮 Display Mode
Choose how to display the market regime colours:
• Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the colour indicates the strength of the trend.
• Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type.
The background and bar colours will change to indicate the current market regime:
• Purple shades: Bullish trending market (darker purple indicates stronger bullish trend)
• Pink shades: Bearish trending market (darker pink indicates stronger bearish trend)
• Yellow: Cyclic (range-bound) market
💮 Custom Colour Options
The Market Regime Detector allows you to customize the colour scheme to match your personal preferences or to coordinate with other indicators:
• Use custom colours: Toggle to enable your own colour choices instead of the default scheme
• Transparency: Adjust the transparency level of all regime colours
• Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends
• Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends
• Cyclic colour: Define a custom colour for cyclic (range-bound) market conditions
🌸 --------- DETECTION METHODS --------- 🌸
💮 Dominant Cycle Average (DCA)
The Dominant Cycle Average method forms a key part of our detection system:
1. Theoretical Foundation :
The DCA method builds on cycle analysis and the observation that in trending markets, price consistently remains on one side of a moving average calculated using the dominant cycle period. In contrast, during cyclic markets, price oscillates around this average.
2. Calculation Process :
• We calculate a Simple Moving Average (SMA) using the specified lookback period - a proxy for the dominant cycle period
• We then analyse the proportion of time that price spends above or below this SMA over a lookback window. The theory is that the price should cross the SMA each half cycle, assuming that the dominant cycle period is correct and price follows a sinusoid.
• This lookback window is adaptive, scaling with the dominant cycle period (controlled by the Adaptability setting)
• The different values are standardised and normalised to possess more resolving power and to be more robust to noise.
3. Regime Classification :
• When the normalised proportion exceeds a positive threshold (determined by Sensitivity setting), the market is classified as bullish trending
• When it falls below a negative threshold, the market is classified as bearish trending
• When the proportion remains between these thresholds, the market is classified as cyclic
💮 Volatility Channel
The Volatility Channel method complements the DCA method by focusing on price movement relative to adaptive volatility bands:
1. Theoretical Foundation :
This method is based on the observation that trending markets tend to sustain movement outside of normal volatility ranges, while cyclic markets tend to remain contained within these ranges. By creating adaptive bands that adjust to current market volatility, we can detect when price behaviour indicates a trending or cyclic regime.
2. Calculation Process :
• We first calculate a smooth base channel center using a low pass filter, creating a noise-reduced centreline for price
• True Range (TR) is used to measure market volatility, which is then smoothed and scaled by the deviation factor (controlled by Sensitivity)
• Upper and lower bands are created by adding and subtracting this scaled volatility from the centreline
• Price is smoothed using an adaptive A2RMA filter, which has a very flat and stable behaviour, to reduce noise while preserving trend characteristics
• The position of this smoothed price relative to the bands is continuously monitored
3. Regime Classification :
• When smoothed price moves above the upper band, the market is classified as bullish trending
• When smoothed price moves below the lower band, the market is classified as bearish trending
• When price remains between the bands, the market is classified as cyclic
• The magnitude of price's excursion beyond the bands is used to determine trend strength
4. Adaptive Behaviour :
• The smoothing periods and deviation calculations automatically adjust based on the Adaptability setting
• The measured volatility is calculated over a period proportional to the dominant cycle, ensuring the detector works across different timeframes
• Both the center line and the bands adapt dynamically to changing market conditions, making the detector responsive yet stable
This method provides a unique perspective that complements the DCA approach, with the consensus mechanism synthesising insights from both methods.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Starting with Default Settings
The default settings (Normal for Adaptability and Sensitivity, Weighted Decision for Consensus Mode) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments.
💮 Finding the Optimal Dominant Cycle
The dominant cycle period is a critical parameter. Here are some approaches to finding an appropriate value:
• Start with typical values, usually something around 25 works well
• Visually identify the average distance between significant peaks and troughs
• Experiment with different values and observe which provides the most stable regime identification
• Consider using cycle-finding indicators to help identify the natural rhythm of your market
💮 Adjusting Parameters
• If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement
• If regime changes seem delayed → Increase Adaptability
• If a trending regime is not detected, the market is automatically assigned to be in a cyclic state
• If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators)
💮 Trading Applications
Regime-Specific Strategies:
• Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasize buying dips
• Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes
• Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes
Strategy Switching:
Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions.
GYTS Suite Integration:
• In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source
• Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream
• Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this.
• The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime.
🌸 --------- FINAL NOTES --------- 🌸
💮 Development Philosophy
The Market Regime Detector has been developed with several key principles in mind:
1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance.
2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention.
3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method.
4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls.
💮 Ongoing Refinement
The Market Regime Detector is under continuous development. We regularly:
• Fine-tune parameters based on expanded market data
• Research and integrate new detection methodologies
• Optimise computational efficiency for real-time analysis
Your feedback and suggestions are very important in this ongoing refinement process!
XGBoost Approximation Indicator with HTF Filter Ver. 3.2XGBoost Approx Indicator with Higher Timeframe Filter Ver. 3.2
What It Is
The XGBoost Approx Indicator is a technical analysis tool designed to generate trading signals based on a composite of multiple indicators. It combines Simple Moving Average (SMA), Relative Strength Index (RSI), MACD, Rate of Change (ROC), and Volume to create a composite indicator score. Additionally, it incorporates a higher timeframe filter (HTF) to enhance trend confirmation and reduce false signals.
This indicator helps traders identify long (buy) and short (sell) opportunities based on a weighted combination of trend-following and momentum indicators.
How to Use It Properly
Setup and Configuration:
Add the indicator to your TradingView chart.
Customize input settings based on your trading strategy. Key configurable inputs include:
HTF filter (default: 1-hour)
SMA, RSI, MACD, and ROC lengths
Custom weightings for each component
Thresholds for buy and sell signals
Understanding the Signals:
Green "Long" Label: Appears when the composite indicator crosses above the buy threshold, signaling a potential buy opportunity.
Red "Short" Label: Appears when the composite indicator crosses below the sell threshold, signaling a potential sell opportunity.
These signals are filtered by a higher timeframe SMA trend to improve accuracy.
Alerts:
The indicator provides alert conditions for long and short entries.
Traders can enable alerts in TradingView to receive real-time notifications when a new signal is triggered.
Safety and Best Practices
Use in Conjunction with Other Analysis: Do not rely solely on this indicator. Combine it with price action, support/resistance levels, and fundamental analysis for better decision-making.
Adjust Settings for Your Strategy: The default settings may not suit all markets or timeframes. Test different configurations before trading live.
Backtest Before Using in Live Trading: Evaluate the indicator’s past performance on historical data to assess its effectiveness in different market conditions.
Avoid Overtrading: False signals can occur, especially in low volatility or choppy markets. Use additional confirmation (e.g., trendlines or moving averages).
Risk Management: Always set stop-loss levels and position sizes to limit potential losses.
