Liquidity Sweep Filter Strategy [AlgoAlpha X PineIndicators]This strategy is based on the Liquidity Sweep Filter developed by AlgoAlpha. Full credit for the concept and original indicator goes to AlgoAlpha.
The Liquidity Sweep Filter Strategy is a non-repainting trading system designed to identify liquidity sweeps, trend shifts, and high-impact price levels. It incorporates volume-based liquidation analysis, trend confirmation, and dynamic support/resistance detection to optimize trade entries and exits.
This strategy helps traders:
Detect liquidity sweeps where major market participants trigger stop losses and liquidations.
Identify trend shifts using a volatility-based moving average system.
Analyze volume distribution with a built-in volume profile visualization.
Filter noise by differentiating between major and minor liquidity sweeps.
How the Liquidity Sweep Filter Strategy Works
1. Trend Detection Using Volatility-Based Filtering
The strategy applies a volatility-adjusted moving average system to determine trend direction:
A central trend line is calculated using an EMA smoothed over a user-defined length.
Upper and lower deviation bands are created based on the average price deviation over multiple periods.
If price closes above the upper band, the strategy signals an uptrend.
If price closes below the lower band, the strategy signals a downtrend.
This approach ensures that trend shifts are confirmed only when price significantly moves beyond normal market fluctuations.
2. Liquidity Sweep Detection
Liquidity sweeps occur when price temporarily breaks key levels, triggering stop-loss liquidations or margin call events. The strategy tracks swing highs and lows, marking potential liquidity grabs:
Bearish Liquidity Sweeps – Price breaks a recent high, then reverses downward.
Bullish Liquidity Sweeps – Price breaks a recent low, then reverses upward.
Volume Integration – The strategy analyzes trading volume at each sweep to differentiate between major and minor sweeps.
Key levels where liquidity sweeps occur are plotted as color-coded horizontal lines:
Red lines indicate bearish liquidity sweeps.
Green lines indicate bullish liquidity sweeps.
Labels are displayed at each sweep, showing the volume of liquidated positions at that level.
3. Volume Profile Analysis
The strategy includes an optional volume profile visualization, displaying how trading volume is distributed across different price levels.
Features of the volume profile:
Point of Control (POC) – The price level with the highest traded volume is marked as a key area of interest.
Bounding Box – The profile is enclosed within a transparent box, helping traders visualize the price range of high trading activity.
Customizable Resolution & Scale – Traders can adjust the granularity of the profile to match their preferred time frame.
The volume profile helps identify zones of strong support and resistance, making it easier to anticipate price reactions at key levels.
Trade Entry & Exit Conditions
The strategy allows traders to configure trade direction:
Long Only – Only takes long trades.
Short Only – Only takes short trades.
Long & Short – Trades in both directions.
Entry Conditions
Long Entry:
A bullish trend shift is confirmed.
A bullish liquidity sweep occurs (price sweeps below a key level and reverses).
The trade direction setting allows long trades.
Short Entry:
A bearish trend shift is confirmed.
A bearish liquidity sweep occurs (price sweeps above a key level and reverses).
The trade direction setting allows short trades.
Exit Conditions
Closing a Long Position:
A bearish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Closing a Short Position:
A bullish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Customization Options
The strategy offers multiple adjustable settings:
Trade Mode: Choose between Long Only, Short Only, or Long & Short.
Trend Calculation Length & Multiplier: Adjust how trend signals are calculated.
Liquidity Sweep Sensitivity: Customize how aggressively the strategy identifies sweeps.
Volume Profile Display: Enable or disable the volume profile visualization.
Bounding Box & Scaling: Control the size and position of the volume profile.
Color Customization: Adjust colors for bullish and bearish signals.
Considerations & Limitations
Liquidity sweeps do not always result in reversals. Some price sweeps may continue in the same direction.
Works best in volatile markets. In low-volatility environments, liquidity sweeps may be less reliable.
Trend confirmation adds a slight delay. The strategy ensures valid signals, but this may result in slightly later entries.
Large volume imbalances may distort the volume profile. Adjusting the scale settings can help improve visualization.
Conclusion
The Liquidity Sweep Filter Strategy is a volume-integrated trading system that combines liquidity sweeps, trend analysis, and volume profile data to optimize trade execution.
By identifying key price levels where liquidations occur, this strategy provides valuable insight into market behavior, helping traders make better-informed trading decisions.
Key use cases for this strategy:
Liquidity-Based Trading – Capturing moves triggered by stop hunts and liquidations.
Volume Analysis – Using volume profile data to confirm high-activity price zones.
Trend Following – Entering trades based on confirmed trend shifts.
Support & Resistance Trading – Using liquidity sweep levels as dynamic price zones.
This strategy is fully customizable, allowing traders to adapt it to different market conditions, timeframes, and risk preferences.
Full credit for the original concept and indicator goes to AlgoAlpha.
Cerca negli script per "support resistance"
Trend Zone Moving Averages📈 Trend Zone Moving Averages
The Trend Zone Moving Averages indicator helps traders quickly identify market trends using the 50SMA, 100SMA, and 200SMA. With dynamic background colors, customizable settings, and real-time alerts, this tool provides a clear view of bullish, bearish, and extreme trend conditions.
🔹 Features:
Trend Zones with Dynamic Background Colors
Green → Bullish Trend (50SMA > 100SMA > 200SMA, price above 50SMA)
Red → Bearish Trend (50SMA < 100SMA < 200SMA, price below 50SMA)
Yellow → Neutral Trend (Mixed signals)
Dark Green → Extreme Bullish (Price above all three SMAs)
Dark Red → Extreme Bearish (Price below all three SMAs)
Customizable Moving Averages
Toggle 50SMA, 100SMA, and 200SMA on/off from the settings.
Perfect for traders who prefer a cleaner chart.
Real-Time Trend Alerts
Get instant notifications when the trend changes:
🟢 Bullish Zone Alert – When price enters a bullish trend.
🔴 Bearish Zone Alert – When price enters a bearish trend.
🟡 Neutral Zone Alert – When trend shifts to neutral.
🌟 Extreme Bullish Alert – When price moves above all SMAs.
⚠️ Extreme Bearish Alert – When price drops below all SMAs.
✅ Perfect for Any Market
Works on stocks, forex, crypto, and commodities.
Adaptable for day traders, swing traders, and investors.
⚙️ How to Use: Trend Zone Moving Averages Strategy
This strategy helps traders identify and trade with the trend using the Trend Zone Moving Averages indicator. It works across stocks, forex, crypto, and commodities.
🟢 Bullish Trend Strategy (Green Background)
Objective: Look for buying opportunities when the market is in an uptrend.
Entry Conditions:
✅ Background is Green (Bullish Zone).
✅ Price is above the 50SMA (confirming strength).
✅ Price pulls back to the 50SMA and bounces OR breaks above a key resistance level.
Stop Loss:
🔹 Place below the most recent swing low or just under the 50SMA.
Take Profit:
🔹 First target at the next resistance level or recent swing high.
🔹 Second target if price continues higher—trail stops to lock in profits.
🔴 Bearish Trend Strategy (Red Background)
Objective: Look for shorting opportunities when the market is in a downtrend.
Entry Conditions:
✅ Background is Red (Bearish Zone).
✅ Price is below the 50SMA (confirming weakness).
✅ Price pulls back to the 50SMA and rejects OR breaks below a key support level.
Stop Loss:
🔹 Place above the most recent swing high or just above the 50SMA.
Take Profit:
🔹 First target at the next support level or recent swing low.
🔹 Second target if price keeps falling—trail stops to secure profits.
🌟 Extreme Trend Strategy (Dark Green / Dark Red Background)
Objective: Trade with momentum when the market is in a strong trend.
Entry Conditions:
✅ Dark Green Background → Extreme Bullish: Price is above all three SMAs (strong uptrend).
✅ Dark Red Background → Extreme Bearish: Price is below all three SMAs (strong downtrend).
Trade Execution:
🔹 For longs (Dark Green): Look for breakout entries above resistance or pullbacks to the 50SMA.
🔹 For shorts (Dark Red): Look for breakdown entries below support or rejections at the 50SMA.
Risk Management:
🔹 Use tighter stop losses and trail profits aggressively to maximize gains.
🟡 Neutral Trend Strategy (Yellow Background)
Objective: Avoid trading or wait for a breakout.
What to Do:
🔹 Avoid trading in this zone—price is indecisive.
🔹 Wait for confirmation (background turns green/red) before taking a trade.
🔹 Use alerts to notify you when the trend resumes.
📌 Final Tips
Use this strategy with price action for extra confirmation.
Combine with support/resistance levels to improve accuracy.
Set alerts for trend changes so you never miss an opportunity.
Enjoy!
Auto Draw ToolAuto Draw Tool for TradingView – Trend, Support/Resistance & Fibonacci Indicator ( HIMANSHU AGNIHOTRY)
The Auto Draw Tool is a powerful TradingView indicator that automatically detects trend lines, support & resistance levels, and Fibonacci retracement zones. It helps traders identify key price levels and market trends without manual effort.
🔹 Features
✔ Automatic Support & Resistance Detection – Finds the strongest price levels based on past highs and lows
✔ Trend Line Auto-Plotting – Detects market trends using swing highs and lows
✔ Fibonacci Retracement Levels – Highlights key retracement points for potential reversals
✔ Candlestick Pattern Detection – Identifies bullish and bearish engulfing patterns
✔ Background Alerts for Patterns – Highlights candlestick patterns with color-coded backgrounds
✔ Works on Any Timeframe – Suitable for scalping, swing trading, and long-term investing
🛠 How It Works?
Support & Resistance Levels: The script calculates the highest and lowest price levels within a given lookback period.
Trend Line Identification: It detects swing highs and swing lows to draw automatic trend lines.
Fibonacci Retracement: The script marks important Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) for potential entry and exit points.
Engulfing Candlestick Patterns: It recognizes bullish engulfing and bearish engulfing patterns, which indicate strong buying or selling pressure.
Alerts & Background Highlighting: When an engulfing pattern is detected, the background color changes (green for bullish, red for bearish).
🔔 Alerts & Signals
🚀 Bullish Engulfing Detected: Green background & buy signal alert
🚀 Bearish Engulfing Detected: Red background & sell signal alert
🎯 Who Can Use It?
✅ Day Traders & Scalpers – Quickly identify key price action levels
✅ Swing Traders – Find strong support/resistance and Fibonacci retracement areas
✅ Trend Followers – Confirm trend direction with auto-drawn trend lines
✅ Price Action Traders – Get real-time candlestick pattern alerts
Multiple AVWAP [OmegaTools]The Multiple AVWAP indicator is a sophisticated trading tool designed for professional traders who require precision in volume-weighted price tracking. This indicator allows for the deployment of multiple Anchored Volume Weighted Average Price (AVWAP) calculations simultaneously, offering deep insights into price movements, dynamic support and resistance levels, and trend structures across multiple timeframes.
This indicator caters to both institutional and retail traders by integrating flexible anchoring methods, multi-timeframe adaptability, and enhanced visualization features. It also includes deviation bands for statistical analysis, making it a comprehensive volume-based trading solution.
Key Features & Functionalities
1. Multiple AVWAP Configurations
Users can configure up to four distinct AVWAP calculations to track different market conditions.
Supports various anchoring methods:
Fixed: A traditional AVWAP that starts from a defined historical point.
Perpetual: A rolling VWAP that continuously adjusts over time.
Extension: An extension-based AVWAP that projects from past calculations.
High Volume: Anchors AVWAP to the highest volume bar within a specified period.
None: Option to disable AVWAP calculation if not required.
2. Advanced Deviation Bands
Implements standard deviation bands (1st and 2nd deviation) to provide a statistical measure of price dispersion from the AVWAP.
Serves as a dynamic method for identifying overbought and oversold conditions relative to VWAP pricing.
Deviation bands are customizable in terms of visibility, color, and transparency.
3. Multi-Timeframe Support
Users can assign different timeframes to each AVWAP calculation for macro and micro analysis.
Helps in identifying long-term institutional trading levels alongside short-term intraday trends.
4. Z-Score Normalization Mode
Option to standardize oscillator values based on AVWAP deviations.
Converts price movements into a statistical Z-score, allowing traders to measure price strength in a normalized range.
Helps in detecting extreme price dislocations and mean-reversion opportunities.
5. Customizable Visual & Aesthetic Settings
Fully customizable line colors, transparency, and thickness to enhance clarity.
Users can modify AVWAP and deviation band colors to distinguish between different levels.
Configurable display options to match personal trading preferences.
6. Oscillator Mode for Trend & Momentum Analysis
The indicator converts price deviations into an oscillator format, displaying AVWAP strength and weakness dynamically.
This provides traders with a momentum-based perspective on volume-weighted price movements.
User Guide & Implementation
1. Configuring AVWAPs for Optimal Use
Choose the mode for each AVWAP instance:
Fixed (set historical point)
Perpetual (rolling, continuously updated AVWAP)
Extension (projection from past AVWAP levels)
High Volume (anchored to highest volume bar)
None (disables the AVWAP line)
Adjust the length settings to fine-tune calculation sensitivity.
2. Utilizing Deviation Bands for Market Context
Activate deviation bands to see statistical boundaries of price action.
Monitor +1 / -1 and +2 / -2 standard deviation levels for extended price movements.
Consider price action outside of deviation bands as potential mean-reversion signals.
3. Multi-Timeframe Analysis for Institutional-Level Insights
Assign different timeframes to each AVWAP to compare:
Daily VWAP (institutional trading levels)
Weekly VWAP (swing trading trends)
Intraday VWAPs (short-term momentum shifts)
Helps identify where institutional liquidity is positioned relative to price.
4. Activating the Oscillator for Momentum & Bias Confirmation
The oscillator converts AVWAP deviations into a normalized value.
Use overbought/oversold levels to determine strength and potential reversals.
Combine with other indicators (RSI, MACD) for confluence-based trading decisions.
Trading Applications & Strategies
5. Trend Confirmation & Institutional VWAP Tracking
If price consistently holds above the primary AVWAP, it signals a bullish trend.
If price remains below AVWAP, it indicates selling pressure and a bearish trend.
Monitor retests of AVWAP levels for potential trend continuation or reversal.
6. Dynamic Support & Resistance Levels
AVWAP lines act as dynamic floating support and resistance zones.
Price bouncing off AVWAP suggests continuation, whereas breakdowns indicate a shift in momentum.
Look for confluence with high-volume zones for stronger trade signals.
7. Mean Reversion & Statistical Edge Trading
Prices that deviate beyond +2 or -2 standard deviations often revert toward AVWAP.
Mean reversion traders can fade extended moves and target AVWAP re-tests.
Helps in identifying exhaustion points in trending markets.
8. Institutional Liquidity & Volume Footprints
Institutions often execute large trades near VWAP zones, causing price reactions.
Tracking multi-timeframe AVWAP levels allows traders to anticipate key liquidity areas.
Use higher timeframe AVWAPs as macro support/resistance for swing trading setups.
9. Enhancing Momentum Trading with AVWAP Oscillator
The oscillator provides a momentum-based measure of AVWAP deviations.
Helps in confirming entry and exit timing for trend-following trades.
Useful for pairing with stochastic oscillators, MACD, or RSI to validate trade decisions.
Best Practices & Trading Tips
Use in Conjunction with Volume Analysis: Combine with volume profiles, OBV, or CVD for increased accuracy.
Adjust Timeframes Based on Trading Style: Scalpers can focus on short-term AVWAP, while swing traders benefit from weekly/daily AVWAP tracking.
Backtest Different AVWAP Configurations: Experiment with different anchoring methods and lookback periods to optimize trade performance.
Monitor Institutional Order Flow: Identify key VWAP zones where institutional traders may be active.
Use with Other Technical Indicators: Enhance trading confidence by integrating with moving averages, Bollinger Bands, or Fibonacci retracements.
Final Thoughts & Disclaimer
The Multiple AVWAP indicator provides a comprehensive approach to volume-weighted price tracking, making it ideal for professional traders. While this tool enhances market clarity and trade decision-making, it should be used as part of a well-rounded trading strategy with risk management principles in place.
This indicator is provided for informational and educational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and due diligence before executing trades.
OmegaTools - Enhancing Market Clarity with Precision Indicators
OrangeCandle 4EMA 55 + Fib Bands + SignalsThe script is a TradingView indicator that combines three popular technical analysis tools: Exponential Moving Averages (EMAs), Fibonacci bands, and buy/sell signals based on these indicators. Here’s a breakdown of its features:
1. EMA Settings and Calculation:
The script calculates and plots several Exponential Moving Averages (EMAs) on the chart with different lengths:
Short-term EMAs: EMA 9, EMA 13, EMA 21, and EMA 55 (used for tracking short-term price trends).
Long-term EMAs: EMA 100 and EMA 200 (used to analyze longer-term trends).
These EMAs are plotted with different colors to visually distinguish between the short-term and long-term trends.
2. Fibonacci Bands:
The script calculates Fibonacci Bands based on the Average True Range (ATR) and a Simple Moving Average (SMA).
Fibonacci factors (1.618, 2.618, 4.236, 6.854, and 11.090) are used to determine the upper and lower bounds of five Fibonacci bands.
Upper Fibonacci Bands (e.g., fib1u, fib2u) represent resistance levels.
Lower Fibonacci Bands (e.g., fib1l, fib2l) represent support levels.
These bands are plotted with different colors for each level, helping traders identify potential price reversal zones.
3. Buy and Sell Signals:
Long Condition: A buy signal occurs when the price crosses above the EMA 55 (long-term trend indicator) and is above the lower Fibonacci band (support zone).
Short Condition: A sell signal occurs when the price crosses below the EMA 55 and is below the upper Fibonacci band (resistance zone).
These conditions trigger visual signals on the chart (green arrow for long, red arrow for short).
4. Alerts:
The script includes alert conditions to notify the trader when a long or short signal is triggered based on the crossover of price and EMA 55 near the Fibonacci support or resistance levels.
Long Entry Alert: Triggers when the price crosses above the EMA 55 and is near a Fibonacci support level.
Short Entry Alert: Triggers when the price crosses below the EMA 55 and is near a Fibonacci resistance level.
5. Visualization:
EMAs are plotted with distinct colors:
EMA 9 is aqua,
EMA 13 is purple,
EMA 21 is orange,
EMA 55 is blue (with thicker line width for emphasis),
EMA 100 is gray,
EMA 200 is black.
Fibonacci bands are plotted with different colors for each level:
Fib Band 1 (upper and lower) in white,
Fib Band 2 in green (upper) and red (lower),
Fib Band 3 in green (upper) and red (lower),
Fib Band 4 in blue (upper) and orange (lower),
Fib Band 5 in purple (upper) and yellow (lower).
Summary:
This script provides a comprehensive strategy for analyzing the market with multiple EMAs for trend detection, Fibonacci bands for support/resistance, and signals based on price action in relation to these indicators. The combination of these tools can assist traders in making more informed decisions by providing potential entry and exit points on the chart.
GRID EXTENSIONGRID EXTENSION
Overview
The GRID EXTENSION is a simple grid-based indicator for TradingView, built with Pine Script v6. It plots horizontal price levels starting from a user-defined anchor price, with spacing set by a tick increment. Use it to identify key support, resistance, or price zones on charts for Crypto, Forex, or Futures.
Key Features
Custom Grid Levels: Plot up to 22 levels (e.g., 0, 0.25, 1.25, -2.50) with options to show/hide, set values, and choose colors.
Market-Specific Tick Increments: Select your asset type (Crypto, Forex, Futures) and choose from a range of tick increments tailored for each market:
Crypto: 1 to 5000 ticks (e.g., 100 ticks = $0.001 on ADA/USD, 5000 ticks = $50 on BTC/USD).
Forex: 5 to 5000 ticks (e.g., 100 ticks = 1 pip on EUR/USD, 5000 ticks = 50 pips).
Futures: 1 to 2500 ticks (e.g., 25 ticks = 6.25 points on E-mini S&P 500, $312.50 per contract).
Visual Options:
Extend lines to the right.
Show price and level labels (as values or percentages).
Place labels on the left or right.
Adjust background transparency for filled areas between levels.
How to Use
Set Asset Type: Choose "Crypto," "Forex," or "Futures" to match your chart.
Set Anchor Price: Enter a starting price for the grid.
Pick Tick Increment: Select a tick increment from the dropdown, following the guidance for your asset type (see Key Features).
Customize Levels: Turn levels on/off, set values, and pick colors.
Add to Chart: Apply the indicator to see the grid on your chart.
Tips
Use levels to mark support/resistance zones for entries or exits.
Extend lines to project future price zones.
Choose smaller increments (e.g., 5 ticks) for scalping, or larger ones (e.g., 1000 ticks) for swing trading.
Combine with indicators like moving averages for better signals.
Settings
Asset Type: Select "Crypto," "Forex," or "Futures" (default: "Crypto").
Anchor Price: Starting price for the grid (default: 0.0).
Tick Increment: Space between levels (options: 1, 5, 10, 25, 50, 100, 250, 500, 1000, 2500, 5000). Choose based on asset type.
Extend Right: Extend lines to the right (default: true).
Show Prices: Show price labels (default: true).
Show Levels: Show level values or percentages (default: true).
Format: Display levels as "Values" or "Percent" (default: "Values").
Labels Position: Place labels on "Left" or "Right" (default: "Left").
Background Transparency: Set transparency for filled areas (default: 100, range 0-100).
Level Options: Enable/disable levels, set values, and choose colors.
Notes
Set the anchor price to a key level (like a recent high or low) for best results.
Check the tick increment tooltip to ensure the spacing suits your market type.
Works on any chart, best for clear price trends or ranges.
Acknowledgments
Made with Pine Script v6 for TradingView. This is v1.0—feedback welcome for future updates!
PriorRange v0.3 [OmarxQQQ/dc_77]PriorRangeLevels is a versatile indicator that plots key price levels based on prior period ranges across multiple timeframes. This tool helps traders identify potential support, resistance, and breakout zones by displaying the High, Low, 75%, 50% (EQ), and 25% levels from the previous period.
Key Features:
- Multi-timeframe analysis from 1-minute to Monthly charts
- Time zone flexibility with options for major global markets (NYC, London, Tokyo, etc.)
- Customizable display for each level (High, Low, 75%, EQ, 25%, Open)
- Clean, organized settings interface with grouped options
- Anchor line marking the start of prior periods
- Current period open price reference
How It Works:
The indicator detects new periods based on your selected timeframe and calculates the range of the previous period. It then plots horizontal lines at the High, Low, and three internal levels (75%, 50%, 25%) extending forward by your specified number of bars. These levels serve as potential support/resistance zones and decision points for your trading strategy.
Trading Applications:
- Use High/Low levels as potential breakout targets or reversal zones
- Monitor price reaction to the EQ (50%) level to gauge trend strength
- Identify intraday support/resistance based on previous period ranges
- Plan entries and exits around established market structure
Each component can be individually customized with different line styles, colors, and widths to match your chart preferences and analytical needs.
Originally created by @dc_77 with enhanced organization, multi-timeframe capabilities, and improved user interface. As Requested by many people.
populi a populo pro populo
GLGT
Order Blocks-[B.Balaei]Order Blocks -
**Description:**
The Order Blocks - indicator is a powerful tool designed to identify and visualize Order Blocks on your chart. Order Blocks are key levels where significant buying or selling activity has occurred, often acting as support or resistance zones. This indicator supports multiple timeframes (MTF), allowing you to analyze Order Blocks from higher timeframes directly on your current chart.
**Key Features:**
1. **Multi-Timeframe Support**: Choose any timeframe (e.g., Daily, Weekly) to display Order Blocks from higher timeframes.
2. **Customizable Sensitivity**: Adjust the sensitivity to detect more or fewer Order Blocks based on market conditions.
3. **Bullish & Bearish Order Blocks**: Clearly distinguishes between bullish (green) and bearish (red) Order Blocks.
4. **Alerts**: Get notified when price enters a Bullish or Bearish Order Block zone.
5. **Customizable Colors**: Personalize the appearance of Order Blocks to match your chart style.
**How to Use:**
1. Add the indicator to your chart.
2. Select your desired timeframe from the "Multi-Timeframe" settings.
3. Adjust the sensitivity and colors as needed.
4. Watch for Order Blocks to form and use them as potential support/resistance levels.
**Ideal For:**
- Swing traders and position traders looking for key levels.
- Traders who use multi-timeframe analysis.
- Anyone interested in understanding market structure through Order Blocks.
**Note:**
This indicator is for educational and informational purposes only. Always conduct your own analysis before making trading decisions.
**Enjoy trading with Order Blocks - !**
Supertrend and Fast and Slow EMA StrategyThis strategy combines Exponential Moving Averages (EMAs) and Average True Range (ATR) to create a simple, yet effective, trend-following approach. The strategy filters out fake or sideways signals by incorporating the ATR as a volatility filter, ensuring that trades are only taken during trending conditions. The key idea is to buy when the short-term trend (Fast EMA) aligns with the long-term trend (Slow EMA), and to avoid trades during low volatility periods.
How It Works:
EMA Crossover:
1). Buy Signal: When the Fast EMA (shorter-term, e.g., 20-period) crosses above the Slow EMA (longer-term, e.g., 50-period), this indicates a potential uptrend.
2). Sell Signal: When the Fast EMA crosses below the Slow EMA, this indicates a potential downtrend.
ATR Filter:
1). The ATR (Average True Range) is used to measure market volatility.
2). Trending Market: If the ATR is above a certain threshold, it indicates high volatility and a trending market. Only when ATR is above the threshold will the strategy generate buy/sell signals.
3). Sideways Market: If ATR is low (sideways or choppy market), the strategy will suppress signals to avoid entering during non-trending conditions.
When to Buy:
1). Condition 1: The Fast EMA crosses above the Slow EMA.
2). Condition 2: The ATR is above the defined threshold, indicating that the market is trending (not sideways or choppy).
When to Sell:
1). Condition 1: The Fast EMA crosses below the Slow EMA.
2). Condition 2: The ATR is above the defined threshold, confirming that the market is in a downtrend.
When Not to Enter the Trade:
1). Sideways Market: If the ATR is below the threshold, signaling low volatility and sideways or choppy market conditions, the strategy will not trigger any buy or sell signals.
2). False Crossovers: In low volatility conditions, price action tends to be noisy, which could lead to false signals. Therefore, avoiding trades during these periods reduces the risk of false breakouts.
Additional Factors to Consider Adding:
=> RSI (Relative Strength Index): Adding an RSI filter can help confirm overbought or oversold conditions to avoid buying into overextended moves or selling too low.
1). RSI Buy Filter: Only take buy signals when RSI is below 70 (avoiding overbought conditions).
2). RSI Sell Filter: Only take sell signals when RSI is above 30 (avoiding oversold conditions).
=> MACD (Moving Average Convergence Divergence): Using MACD can help validate the strength of the trend.
1). Buy when the MACD histogram is above the zero line and the Fast EMA crosses above the Slow EMA.
2). Sell when the MACD histogram is below the zero line and the Fast EMA crosses below the Slow EMA.
=> Support/Resistance Levels: Adding support and resistance levels can help you understand market structure and decide whether to enter or exit a trade.
1). Buy when price breaks above a significant resistance level (after a valid buy signal).
2). Sell when price breaks below a major support level (after a valid sell signal).
=> Volume: Consider adding a volume filter to ensure that buy/sell signals are supported by strong market participation. You could only take signals if the volume is above the moving average of volume over a certain period.
=> Trailing Stop Loss: Instead of a fixed stop loss, use a trailing stop based on a percentage or ATR to lock in profits as the trade moves in your favor.
=> Exit Signals: Besides the EMA crossover, consider adding Take Profit or Stop Loss levels, or even using a secondary indicator like RSI to signal an overbought/oversold condition and exit the trade.
Example Usage:
=> Buy Example:
1). Fast EMA (20-period) crosses above the Slow EMA (50-period).
2). The ATR is above the threshold, confirming that the market is trending.
3). Optionally, if RSI is below 70, the buy signal is further confirmed as not being overbought.
=> Sell Example:
1). Fast EMA (20-period) crosses below the Slow EMA (50-period).
2). The ATR is above the threshold, confirming that the market is trending.
3). Optionally, if RSI is above 30, the sell signal is further confirmed as not being oversold.
Conclusion:
This strategy helps to identify trending markets and filters out sideways or choppy market conditions. By using Fast and Slow EMAs combined with the ATR volatility filter, it provides a reliable approach to catching trending moves while avoiding false signals during low-volatility, sideways markets.
NFP High/Low Levels PlusNFP High/Low Levels Plus
Description:
This indicator stores the 12 most recent NFP (Non-Farm-Payroll) days and their values.
Values are captured from 0830 (NFP Release) until close of market
The High and Low values for each NFP month are drawn on the chart with horizontal lines.
- Labels indicating the month's high or low line are placed after the line
- Optionally the high/low price can be displayed additionally
Support and Resistance boxes can be drawn at the closest NFP level above and below the
current price.
- Boxes will automatically update as prices cross the NFP value
Macro Indicator
- This option displays a small table in the top right corner that says "Up" or " Down"
- The Macro Indicator can be used to judge the potential direction for the current month
- Macro direction is calculated by the following:
- UP: If two consecutive days both open and close above the most recent NFP High level
- DOWN: If two consecutive days both open and close below the most recent NFP Low level
Micro Indicator
- This option displays a small table in the top right corner that says "Up" or " Down"
- The Micro Indicator can be used to judge the potential direction for low timeframes 1H or
lower
- Micro direction is calculated by the following:
- UP: If two consecutive 10m candles close above the 20EMA
- DOWN: If two consecutive 10m candles close below the 20EMA
NFP Session Bars
- This feature draws an arrow at the bottom of the chart for each candle that falls within the
NFP session day
- This is useful for identifying NFP Days
Support / Resistance Table
- This displays a table bottom center showing the nearest high and low NFP line level
What is an NFP Day and why is it useful to add to my chart?
- NFP Days are one of the most important data releases monthly
- NFP (Non-Farm-Payroll) is the official release of 80% of the US workforce employed in
manufacturing, construction, and goods
- It does not include those who work on farms, private households, non-profit and
government workers
- Historically these high/low levels for the day create strong support and resistance levels
- Having them displayed on the chart can help identify potential strong levels and pivot points
Full Indicator with all options enabled and identified
Easily update NFP Release Days in the indicator settings
Modify various options: Show/Hide lines, labels, directional indicator tables, values tables
Adjust line width, offsets, colors, font sizes, box widths
Enable individual Directional Indicators and modify colors
Example of full indicator enabled
You can find a list of the NFP Release Schedule on the official US Bureau of Labor Statistics website. This is useful for updating the indicator settings with the correct dates
Heatmap Suite [PhenLabs]📊 Heatmap Suite
Version: PineScript™ v6
📌 Description
The Heatmap Suite is an advanced technical analysis tool that combines multiple density calculation methods with dynamic visualization to identify significant price levels and trading activity zones. It features a sophisticated analysis system that processes price and volume data through various kernel methods, providing traders with insights into market structure, support/resistance zones, and potential price reaction areas.
🚀 Points of Innovation:
Multi-method density calculation incorporating three distinct approaches
Adaptive visualization system with dynamic color gradients
Real-time dashboard with key market metrics
Significant level detection with automatic threshold adjustment
🚨 Important🚨
🔸Comprehensive tooltips included in the PhenLabs dashboard for in depth guidance
🔧 Core Components
Density Analysis: Multiple calculation methods for price distribution assessment
Heat Mapping: Dynamic visualization of price congestion zones
Level Detection: Automatic identification of significant price levels
Dashboard System: Real-time market metrics and analysis
🔥 Key Features
The indicator provides comprehensive analysis through:
Kernel Density: Traditional balanced view of price distribution
Exponential Kernel: Time-weighted analysis emphasizing recent price action
Volume-Weighted: Focus on high-volume price areas
Significant Levels: Automatic detection of important price zones
Heat Distribution: Color-coded visualization of price congestion
🎨 Visualization
Heat Zones: Shows intensity of price activity
Significant Lines: Key level indicators
Color Gradients: Indicates density strength
Dashboard Display: Real-time metrics
Dynamic Opacity: Reflects density intensity
📖 Usage Guidelines
The indicator offers several customization options:
Basic Settings:
Calculation Method: Choose between three density calculation approaches
Lookback Period: Analysis timeframe adjustment
Zone Count: Price range division granularity
Heat Sensitivity: Contrast adjustment for visualization
🎛️ Visual Settings:
Dashboard Size: Text size customization
Position: Dashboard placement options
Color Scheme: Heat map gradient visualization
Level Display: Significant price zone indicators
✅ Best Use Cases:
Identify strong support/resistance zones through high-density areas
Spot potential price reversal zones at significant levels
Analyze price congestion patterns
Monitor real-time changes in market structure
⚠️ Limitations
Requires sufficient historical data
Computational intensity increases with longer lookback periods
Heat sensitivity needs adjustment based on market conditions
Dashboard placement may need adjustment based on price action
💡 What Makes This Unique
Multi-method Analysis: Three distinct calculation approaches
Adaptive Visualization: Dynamic color gradient system
Real-time Metrics: Comprehensive dashboard display
Automatic Level Detection: Significant price zone identification
Memory-efficient Design: Optimized calculation methods
🔬 How It Works
The indicator processes market data through four main components:
1. Density Calculation:
Processes price and volume data
Applies selected kernel method
Generates density distribution
2. Heat Mapping:
Converts density values to color gradients
Updates visualization in real-time
Displays price congestion zones
3. Level Detection:
Identifies significant price levels
Applies threshold filtering
Marks important zones
4. Dashboard Updates:
Calculates real-time metrics
Updates display components
Provides market context
💡Note:
The indicator performs best with adequate historical data and proper sensitivity settings. Its sophisticated density analysis provides valuable insights into market structure beyond traditional support/resistance indicators.
Gradient Trend Filter [ChartPrime]The Gradient Trend Filter is a dynamic trend analysis tool that combines a noise-filtered trend detection system with a color-gradient cloud. It provides traders with a visual representation of trend strength, momentum shifts, and potential reversals.
⯁ KEY FEATURES
Trend Noise Filtering
Uses an advanced smoothing function to filter market noise and produce a more reliable trend representation.
// Noise filter function
noise_filter(src, length) =>
alpha = 2 / (length + 1)
nf_1 = 0.0
nf_2 = 0.0
nf_3 = 0.0
nf_1 := (alpha * src) + ((1 - alpha) * nz(nf_1 ))
nf_2 := (alpha * nf_1) + ((1 - alpha) * nz(nf_2 ))
nf_3 := (alpha * nf_2) + ((1 - alpha) * nz(nf_3 ))
nf_3 // Final output with three-stage smoothing
Color-Based Trend Visualization
The mid-line changes color based on trend direction—green for uptrends and red for downtrends—making it easy to identify trends at a glance.
Orange diamond markers appear when a trend shift is confirmed, providing actionable signals for traders.
Gradient Color Trend Cloud
A cloud around the base trend line that dynamically changes color, often signaling trend shifts ahead of the main trend line.
When in a downtrend, if the cloud starts turning green, it suggests weakening bearish momentum or an upcoming bullish reversal. Conversely, when in an uptrend, a red cloud indicates potential trend weakening or a bearish reversal.
Multi-Layered Trend Bands
The cloud consists of multiple bands, offering a range of support and resistance zones that traders can use for confluence in decision-making.
⯁ HOW TO USE
Identify Trend Strength & Reversals
Use the mid-line and cloud color changes to assess the strength of a trend and spot early signs of reversals.
Monitor Momentum Shifts
Watch for gradient cloud color shifts before the trend line changes color, as this can indicate early weakening or strengthening of momentum.
Act on Trend Shift Markers
Use the orange diamonds as confirmation of trend shifts and potential trade entry or exit points.
Utilize Cloud Bands as Support/Resistance
The outer bands of the cloud act as dynamic support and resistance, helping traders refine their stop-loss and take-profit placements.
⯁ CONCLUSION
The Gradient Trend Filter is an advanced trend detection tool designed for traders looking to anticipate trend shifts with greater precision. By integrating a noise-filtered trend line with a gradient-based trend cloud, this indicator enhances traders' ability to navigate market trends effectively.
Volume Profile With HVN & LVN detectorVolume Profile Indicator
Based on the works of tradeforopp
Overview
The Volume Profile Indicator is a powerful technical analysis tool that visually represents the distribution of trading volume over price levels within a specified timeframe. It helps traders identify key support and resistance zones, high-volume trading areas, and low-volume rejection zones. The indicator includes customizable settings for Volume Point of Control (VPOC), High Volume Nodes (HVNs), and Low Volume Nodes (LVNs), making it a versatile tool for price action analysis and volume-based decision-making.
Key Features
🔹 Customizable Volume Profile
Adjustable number of rows to define the resolution of the volume profile.
Configurable timeframe aggregation for profile calculation (e.g., Daily, Weekly).
Selectable price resolution timeframe for precise profile construction.
Extendable volume profile for future sessions.
Fully customizable profile color and transparency settings.
🔹 Volume Point of Control (VPOC)
Displays the most traded price level within the selected timeframe.
Option to extend multiple VPOCs across the chart.
Adjustable VPOC line width and color customization.
Option to display VPOC labels when working with higher timeframe profiles.
🔹 High Volume Nodes (HVNs)
Identifies high-volume price levels where significant trading activity has occurred.
Configurable HVN strength to adjust detection sensitivity.
Two display modes:
Lines: Plots HVN levels as horizontal lines.
Areas: Highlights HVN regions with colored boxes.
Separate bullish and bearish HVN color settings.
🔹 Low Volume Nodes (LVNs)
Identifies low-volume price levels, which often act as rejection zones.
Configurable LVN strength to fine-tune detection.
Two display modes:
Lines: Marks LVN levels as horizontal lines.
Areas: Highlights LVN regions with shaded boxes.
Separate bullish and bearish LVN color settings.
🔹 Optimized for Performance
Efficient use of arrays for data storage and retrieval.
Global functions for HVN and LVN detection.
Uses security calls to access lower timeframe price and volume data.
Use Cases
✅ Identify Support & Resistance Levels
The indicator highlights key price levels where significant buying or selling interest exists.
✅ Detect Breakout & Reversal Zones
Low-volume areas (LVNs) often indicate price rejection zones, while high-volume areas (HVNs) suggest strong price acceptance zones.
✅ Improve Trade Entries & Exits
Traders can use the Volume Point of Control (VPOC) and volume clusters to refine entry and exit points.
✅ Enhance Price Action Strategies
By incorporating volume-based analysis, this indicator provides deeper market insights beyond traditional support/resistance and trendlines.
Customization & Settings
📌 Volume Profile Settings:
Rows: Defines the granularity of the volume profile.
Profile Timeframe: Specifies the aggregation period (e.g., Daily, Weekly).
Resolution Timeframe: Determines the price resolution for volume analysis.
Profile Extend %: Controls how much the profile extends into the next session.
📌 Volume Point of Control (VPOC):
Enable/Disable VPOC visualization.
Extend past VPOC levels to the right.
Display VPOC labels for higher timeframe profiles.
Adjustable VPOC line width and color.
📌 High Volume Nodes (HVNs):
Enable/Disable HVN detection.
Define HVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish HVN colors.
📌 Low Volume Nodes (LVNs):
Enable/Disable LVN detection.
Define LVN strength (volume threshold).
Choose between Line Mode or Area Mode.
Configure bullish and bearish LVN colors.
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector
📌 Category : Public (Restricted/Closed-Source) Indicator
📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts.
🔍 Overview
The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible.
📊 Core Features:
✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance.
✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts.
✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements.
✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy.
✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state.
🔒 Justification for Mashup
The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators:
✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas.
✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels.
✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal.
✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy.
🛠️ How to Use:
• Works well for reversal traders, scalpers, and swing traders seeking precise turning points.
• Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation.
• Suitable for Forex, Indices, Commodities, Crypto, and Stock markets.
🚨 Important Note:
For educational & analytical purposes only.
Adaptive Supply and Demand [EdgeTerminal]Adaptive Supply and Demand is a dynamic supply and demand indicator with a few unique twists. It considers volume pressure, volatility-based adjustments and multi-time frame momentum for confidence scoring (multi-step confirmation) to generate dynamic lines that adjust based on the market and also to generate dynamic support/resistance levels for the supply and demand lines.
The dynamic support and resistance lines shown gives you a better situational awareness of the current state of the market and add more context to why the market is moving into a certain direction.
> Trading Scenarios
When the confidence score is over 80%, strong volume pressure in trend direction (up or down), volatility is low and momentum is aligned across timeframes, there is an indication of a strong upward or downward trend.
When the supply and demand line crossover, the confidence score is over 75% and the volume pressure is shifting, this can be an indicator of trend reversal. Use tight initial stops, scale into position as trend develops, monitor the volume pressure for continuation and wait for confidence confirmation.
When the confiance score is below 60%, the volume pressure is choppy, volatility is high, you want to avoid trading or reduce position size, wait for confidence improvements, use support and resistance for entries/exits and use tighter stops due to market conditions. This is an indication of a ranging market.
Another scenario is when there is a sudden volume pressure increase, and a raising confidence score, the volatility is expanding and the bar momentum is aligning the volatility direction. This can indicate a breakout scenario.
> How it Works
1. Volume Pressure Analysis
Volume Pressure Analysis is a key component that measures the true buying and selling force in the market. Here's a detailed breakdown. The idea is to standardize volume to prevent large spikes from skewing results.
The indicator employs an adaptive volume normalization technique to detect genuine buying and selling pressure.
It takes current volume and divides it by average volume.
If normVol > 1: Current volume is above average
If normVol < 1: Current volume is below average
An example if this would be If current volume is 1500 and average is 1000, normVol = 1.5 (50% above average)
Another component of the volume pressure analysis is the Price Change Calculation sub-module. The purpose of this is to measure price movement relative to recent average.
It works by subtracting the average price from the current price. If the value is positive, price is average and if negative, price is below average.
Finally, the volume pressure is calculated to combine volume and price for true pressure reading.
2. Savitzky-Golay Filtering
SG filtering implements advanced signal smoothing while preserving important trend features. It uses weighted moving average approximation, preserves higher moments of data and reduces noise while maintaining signal integrity.
This results in smoother signal lines, reduced false crossovers and better trend identification. Traditional moving averages tend to lag and smooth out important features. Additionally, simple moving averages can miss critical turning points and regular smoothing can delay signal generation.
SG filtering preserves higher moments such as peaks, valleys and trends, reduces noise while maintaining signal sharpness.
It works by creating a symmetric weighting scheme. This way center points get the highest weights while edge points get the lowest weight.
3. Parkinson's Volatility
Parkinson's Volatility is an advanced volatility measurement formula using high-low range data. It uses high-low range for volatility calculation, incorporates logarithmic returns and annualized the volatility measure.
This results in more accurate volatility measurement, better risk assessment and dynamic signal sensitivity.
4. Multi-timeframe Momentum
This combines signals from each module for each timeframe to calculate momentum across three timeframes. It also applies weighted importance to each timeframe and generates a composite momentum signal.
This results in a more comprehensive trend analysis, reduced timeframe bias and better trend confirmation.
> Indicator Settings
Short-term Period:
Lower values makes it more sensitive, meaning it will generate more signals. Higher values makes it less sensitive, resulting in fewer signals. We recommend a 5 to 15 range for day trading, and 10 to 20 for swing trading
Medium-term Period:
Lower values result in faster trend confirmation and higher values show slower and more reliable confirmation. We recommend a range of 15-25 for day trading and 20-30 for swing trading.
Long-term Period:
Lower values makes it more responsive to trend changes and higher values are better for major trend identification. We recommend a range of 40-60 for day trading and 50-100 for swing trading.
Volume Analysis Window:
Lower values result in more sensitivity to volume changes and higher values result in smoother volume analysis. The optimal range is 15-25 for most trading styles.
Confidence Threshold:
Lower values generate more signals but quality decreases. Higher values generate fewer signals but accuracy increases.The optimal range is 0.65-0.8 for most trading conditions.
Sma Indicator with Ratio (pr)SMA Indicator with Ratio (PR) is a technical analysis tool designed to provide insights into the relationship between multiple Simple Moving Averages (SMAs) across different time frames. This indicator combines three key SMAs: the 111-period SMA, 730-period SMA, and 1400-period SMA. Additionally, it introduces a ratio-based approach, where the 730-period SMA is multiplied by factors of 2, 3, 4, and 5, allowing users to analyze potential market trends and price movements in relation to different SMA levels.
What Does This Indicator Do?
The primary function of this indicator is to track the movement of prices in relation to several SMAs with varying periods. By visualizing these SMAs, users can quickly identify:
Short-term trends (111-period SMA)
Medium-term trends (730-period SMA)
Long-term trends (1400-period SMA)
Additionally, the multiplied versions of the 730-period SMA provide deeper insights into potential price reactions at different levels of market volatility.
How Does It Work?
The 111-period SMA tracks the shorter-term price trend and can be used for identifying quick market movements.
The 730-period SMA represents a longer-term trend, helping users gauge overall market sentiment and direction.
The 1400-period SMA acts as a very long-term trend line, giving users a broad perspective on the market’s movement.
The ratio-based SMAs (2x, 3x, 4x, 5x of the 730-period SMA) allow for an enhanced understanding of how the price reacts to higher or lower volatility levels. These ratios are useful for identifying key support and resistance zones in a dynamic market environment.
Why Use This Indicator?
This indicator is useful for traders and analysts who want to track the interaction of price with different moving averages, enabling them to make more informed decisions about potential trend reversals or continuations. The added ratio-based values enhance the ability to predict how the market might react at different levels.
How to Use It?
Trend Confirmation: Traders can use the indicator to confirm the direction of the market. If the price is above the 111, 730, or 1400-period SMA, it may indicate an uptrend, and if below, a downtrend.
Support/Resistance Levels: The multiplied versions of the 730-period SMA (2x, 3x, 4x, 5x) can be used as dynamic support or resistance levels. When the price approaches or crosses these levels, it might indicate a change in the trend.
Volatility Insights: By observing how the price behaves relative to these SMAs, traders can gauge market volatility. Higher multiples of the 730-period SMA can signal more volatile periods where price movements are more pronounced.
Fixed Range LevelsThis indicator draws horizontal price levels on your chart based on a starting price and a range size that you define. It can also draw midpoint lines between the main levels if enabled.
Here's a breakdown of its functionality:
Key Features:
Starting Price:
You define a starting price (e.g., 21630).
The indicator calculates a corrected base price by rounding the starting price to the nearest multiple of the range size.
Range Size:
You define a range size (e.g., 71).
The indicator draws horizontal lines at intervals of the range size above and below the corrected base price.
Dual Ranges:
You can define two range sizes (e.g., 71 and 29).
The indicator can draw levels for both ranges simultaneously or individually, depending on your settings.
Midpoint Lines:
If enabled, the indicator draws midpoint lines between the main levels.
For example, if the main levels are at 21584 and 21655, the midpoint line will be at 21619.5.
Customizable Styles:
You can customize the line style (solid, dotted, dashed) and color for both the main levels and midpoint lines.
Dynamic Levels:
The levels are recalculated and redrawn dynamically based on the starting price and range size.
How It Works:
Corrected Base Price Calculation:
The indicator calculates the corrected base price using the formula:
pinescript
Copy
correctedBasePrice = math.floor(startingPrice / rangeSize) * rangeSize
For example, if startingPrice = 21630 and rangeSize = 71:
Copy
correctedBasePrice = math.floor(21630 / 71) * 71 = 304 * 71 = 21584
Drawing Levels:
The indicator draws horizontal lines at intervals of the range size above and below the corrected base price.
For example, if rangeSize = 71 and maxLevels = 5, the levels will be drawn at:
Copy
21584 - (5 * 71) = 21249
21584 - (4 * 71) = 21320
...
21584 + (5 * 71) = 21939
Midpoint Lines:
If enabled, the indicator draws midpoint lines between the main levels.
For example, if the main levels are at 21584 and 21655, the midpoint line will be at:
Copy
(21584 + 21655) / 2 = 21619.5
Dual Ranges:
If you enable both ranges, the indicator will draw levels for both range sizes simultaneously.
For example, if rangeSize1 = 71 and rangeSize2 = 29, the indicator will draw two sets of levels:
Levels at intervals of 71 (e.g., 21584, 21655, 21726, ...).
Levels at intervals of 29 (e.g., 21634, 21663, 21692, ...).
Example Use Case:
Imagine you're trading a stock or cryptocurrency, and you want to identify key support and resistance levels based on a specific price range. Here's how you can use this indicator:
Set the Starting Price:
For example, if the current price is 21630, you can set this as the starting price.
Define the Range Size:
If you believe the price moves in increments of 71, set rangeSize1 = 71.
If you also want to track smaller increments of 29, set rangeSize2 = 29.
Enable Midpoint Lines:
If you want to see the midpoint between the main levels, enable Show Midpoint Line.
Customize Line Styles:
Choose different colors and styles for the main levels and midpoint lines to make them visually distinct.
Analyze the Chart:
The indicator will draw horizontal lines at the specified intervals, helping you identify potential support, resistance, and midpoint levels.
Why Is This Useful?
Support and Resistance Levels:
The horizontal lines act as dynamic support and resistance levels based on the range size you define.
Price Targets:
You can use the levels to identify potential price targets or areas where the price might reverse.
Midpoint Analysis:
The midpoint lines can help you identify areas of consolidation or potential breakout points.
Flexibility:
You can customize the range sizes, colors, and styles to suit your trading strategy.
Summary:
This indicator is a powerful tool for traders who want to visualize price levels and midpoints based on a specific range size. It helps you identify key levels for support, resistance, and potential price targets, making it easier to plan your trades.
Support and Resistance all in one The Support and Resistance Indicator (v4) is designed to identify and track key price levels in financial markets. Here's how it works:
Core Functionality
Level Detection
Uses pivot points to identify significant price levels
Looks for swing highs (resistance) and swing lows (support)
Requires price action to pivot over a specified period (default 10 bars)
Dynamic Level Management
Maintains separate arrays for support and resistance levels
Limits maximum displayed levels (default 10) to prevent chart clutter
Removes oldest levels when maximum is reached
Ensures new levels are sufficiently distant from existing ones (minimum 1% separation)
Touch Detection System
Monitors price interaction with established levels
Counts when price comes within 0.1% of any level
Updates touch count and strength classification
Categories: "New" (1 touch), "Moderate" (2 touches), "Strong" (3+ touches)
Visual Representation
Draws horizontal lines at each level
Updates line width based on strength (thicker for stronger levels)
Shows labels with price and strength information
Color coding: Red (new/moderate levels), Green (strong levels)
Displays triangles (▼▲) at pivot points
Trading Applications
Support/Resistance Trading
Strong levels (3+ touches) suggest reliable trading zones
More touches indicate higher probability reversal points
Use for stop loss and target placement
Breakout Trading
Monitor breaks of strong levels
Higher touch count suggests more significant breakouts
Watch for false breakouts at weaker levels
Risk Management
Place stops beyond strong levels
Use level strength to adjust position size
Consider multiple timeframe analysis
Best Practices
Use with other indicators for confirmation
Consider market context and trend
Monitor level strength development
Don't rely solely on touch count
Watch for price reaction at levels
Customization Options
Adjust pivot length for different timeframes
Modify minimum distance between levels
Change required touches for "Strong" classification
Toggle strength labels display
Choose line style (Solid/Dashed/Dotted)
This indicator helps identify key price levels where market participants have shown interest, making it valuable for trade planning and risk management
Price Imbalance as Consecutive Levels of AveragesOverview
The Price Imbalance as Consecutive Levels of Averages indicator is an advanced technical analysis tool designed to identify and visualize price imbalances in financial markets. Unlike traditional moving average (MA) indicators that update continuously with each new price bar, this indicator employs moving averages calculated over consecutive, non-overlapping historical windows. This unique approach leverages comparative historical data to provide deeper insights into trend strength and potential reversals, offering traders a more nuanced understanding of market dynamics and reducing the likelihood of false signals or fakeouts.
Key Features
Consecutive Rolling Moving Averages: Utilizes three distinct simple moving averages (SMAs) calculated over consecutive, non-overlapping windows to capture different historical segments of price data.
Dynamic Color-Coded Visualization: SMA lines change color and style based on the relationship between the averages, highlighting both extreme and normal market conditions.
Median and Secondary Median Lines: Provides additional layers of price distribution insight during normal trend conditions through the plotting of primary and secondary median lines.
Fakeout Prevention: Filters out short-term volatility and sharp price movements by requiring consistent historical alignment of multiple moving averages.
Customizable Parameters: Offers flexibility to adjust SMA window lengths and line extensions to align with various trading strategies and timeframes.
Real-Time Updates with Historical Context: Continuously recalculates and updates SMA lines based on comparative historical windows, ensuring that the indicator reflects both current and past market conditions.
Inputs & Settings
Rolling Window Lengths:
Window 1 Length (Most Recent) Bars: Number of bars used to calculate the most recent SMA. (Default: 5, Range: 2–300)
Window 2 Length (Preceding) Bars: Number of bars for the second SMA, shifted by Window 1. (Default: 8, Range: 2–300)
Window 3 Length (Third Rolling) Bars: Number of bars for the third SMA, shifted by the combined lengths of Window 1 and Window 2. (Default: 13, Range: 2–300)
Horizontal Line Extension:
Horizontal Line Extension (Bars): Determines how far each SMA line extends horizontally on the chart. (Default: 10 bars, Range: 1–100)
Functionality and Theory
1. Calculating Consecutive Simple Moving Averages (SMAs):
The indicator calculates three SMAs, each based on distinct and consecutive historical windows of price data. This approach contrasts with traditional MAs that continuously update with each new price bar, offering a static view of past trends rather than an ongoing one.
Mean1 (SMA1): Calculated over the most recent Window 1 Length bars. Represents the short-term trend.
Mean1=∑i=1N1CloseiN1
Mean1=N1∑i=1N1Closei
Where N1N1 is the length of Window 1.
Mean2 (SMA2): Calculated over the preceding Window 2 Length bars, shifted back by Window 1 Length bars. Represents the medium-term trend.
\text{Mean2} = \frac{\sum_{i=1}^{N_2} \text{Close}_{i + N_1}}}{N_2}
Where N2N2 is the length of Window 2.
Mean3 (SMA3): Calculated over the third rolling Window 3 Length bars, shifted back by the combined lengths of Window 1 and Window 2 bars. Represents the long-term trend.
\text{Mean3} = \frac{\sum_{i=1}^{N_3} \text{Close}_{i + N_1 + N_2}}}{N_3}
Where N3N3 is the length of Window 3.
2. Determining Market Conditions:
The relationship between the three SMAs categorizes the market condition into either extreme or normal states, enabling traders to quickly assess trend strength and potential reversals.
Extreme Bullish:
Mean3Mean2>Mean1
Mean3>Mean2>Mean1
Indicates a strong and sustained downward trend. SMA lines are colored purple and styled as dashed lines.
Normal Bullish:
Mean1>Mean2andnot in extreme bullish condition
Mean1>Mean2andnot in extreme bullish condition
Indicates a standard upward trend. SMA lines are colored green and styled as solid lines.
Normal Bearish:
Mean1Mean2>Mean1
Mean3>Mean2>Mean1
Normal Bullish:
Mean1>Mean2andnot in Extreme Bullish
Mean1>Mean2andnot in Extreme Bullish
Normal Bearish:
Mean1 Mean2 > Mean3
Visualization: All three SMAs are displayed as gold dashed lines.
Median Lines: Not displayed to maintain chart clarity.
Interpretation: Indicates a strong and sustained upward trend. Traders may consider entering long positions, confident in the trend's strength without the distraction of additional lines.
2. Normal Bullish Condition:
SMAs Alignment: Mean1 > Mean2 (not in extreme condition)
Visualization: Mean1 and Mean2 are green solid lines; Mean3 is gray.
Median Lines: A thin blue dotted median line is plotted between Mean1 and Mean2, with two additional thin blue dashed lines as secondary medians.
Interpretation: Confirms an upward trend while providing deeper insights into price distribution. Traders can use the median and secondary median lines to identify optimal entry points and manage risk more effectively.
3. Extreme Bearish Condition:
SMAs Alignment: Mean3 > Mean2 > Mean1
Visualization: All three SMAs are displayed as purple dashed lines.
Median Lines: Not displayed to maintain chart clarity.
Interpretation: Indicates a strong and sustained downward trend. Traders may consider entering short positions, confident in the trend's strength without the distraction of additional lines.
4. Normal Bearish Condition:
SMAs Alignment: Mean1 < Mean2 (not in extreme condition)
Visualization: Mean1 and Mean2 are red solid lines; Mean3 is gray.
Median Lines: A thin blue dotted median line is plotted between Mean1 and Mean2, with two additional thin blue dashed lines as secondary medians.
Interpretation: Confirms a downward trend while providing deeper insights into price distribution. Traders can use the median and secondary median lines to identify optimal entry points and manage risk more effectively.
Customization and Flexibility
The Price Imbalance as Consecutive Levels of Averages indicator is highly adaptable, allowing traders to tailor it to their specific trading styles and market conditions through adjustable parameters:
SMA Window Lengths: Modify the lengths of Window 1, Window 2, and Window 3 to capture different historical trend segments, whether focusing on short-term fluctuations or long-term movements.
Line Extension: Adjust the horizontal extension of SMA and median lines to align with different trading horizons and chart preferences.
Color and Style Preferences: While default colors and styles are optimized for clarity, traders can customize these elements to match their personal chart aesthetics and enhance visual differentiation.
This flexibility ensures that the indicator remains versatile and applicable across various markets, asset classes, and trading strategies, providing valuable insights tailored to individual trading needs.
Conclusion
The Price Imbalance as Consecutive Levels of Averages indicator offers a comprehensive and innovative approach to analyzing price trends and imbalances within financial markets. By utilizing three consecutive, non-overlapping SMAs and incorporating median lines during normal trend conditions, the indicator provides clear and actionable insights into trend strength and price distribution. Its unique design leverages comparative historical data, distinguishing it from traditional moving averages and enhancing its utility in identifying genuine market movements while minimizing false signals. This dynamic and customizable tool empowers traders to refine their technical analysis, optimize their trading strategies, and navigate the markets with greater confidence and precision.
Ichimoku MTF (best MTF 4H - Entry 15M)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The technical indicator shows relevant information at a glance by using averages.
The overall trend is up when the price is above the cloud, down when the price is below the cloud, and trendless or transitioning when the price is in the cloud.
Charles G. Koonitz. “Ichimoku Analysis & Strategies: The Visual Guide to Spot the Trends in Stock Market, Cryptocurrency and Forex Using Technical Analysis and Cloud Charts," Tripod Solutions Inc., 2019.
When Leading Span A is rising and above Leading Span B, this helps to confirm the uptrend and the space between the lines is typically colored green. When Leading Span A is falling and below Leading Span B, this helps confirm the downtrend. The space between the lines is typically colored red in this case.1
Traders will often use the Ichimoku Cloud as an area of support and resistance depending on the relative location of the price. The cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time.
Traders should use the Ichimoku Cloud in conjunction with other technical indicators to maximize their risk-adjusted returns. For example, the indicator is often paired with the relative strength index (RSI), which can be used to confirm momentum in a certain direction. It’s also important to look at the bigger trends to see how the smaller trends fit within them. For example, during a very strong downtrend, the price may push into the cloud or slightly above it, temporarily, before falling again. Only focusing on the indicator would mean missing the bigger picture that the price was under strong longer-term selling pressure.
Crossovers are another way that the indicator can be used. Watch for the conversion line to move above the base line, especially when the price is above the cloud. This can be a powerful buy signal. One option is to hold the trade until the conversion line drops back below the base line. Any of the other lines could be used as exit points as well.
Matrix Series and Vix Fix with VWAP CCI and QQE SignalsMatrix Series and Vix Fix with VWAP CCI and QQE Signals
Short Title: Advanced Matrix
Purpose
This Pine Script combines multiple technical analysis tools to create a comprehensive trading indicator. It incorporates elements like support/resistance zones, overbought/oversold conditions, Williams Vix Fix, QQE (Quantitative Qualitative Estimation) signals, VWAP CCI signals, and a 200-period SMA for trend filtering. The goal is to provide actionable buy and sell signals with enhanced visualization.
Key Features and Components
1. Matrix Series
Smoothing Input: Allows customization of EMA smoothing for the indicator (default: 5).
Support/Resistance Zones: Based on CCI (Commodity Channel Index) values.
Dynamic zones calculated with customizable parameters (SupResPeriod, SupResPercentage, PricePeriod).
Candlestick Visualization: Custom candlestick plots with colors indicating trends.
Dynamic levels for overbought/oversold conditions.
2. Overbought/Oversold Signals
Overbought and oversold levels are adjustable (ob and os).
Plots circles on the chart to highlight extreme conditions.
3. Williams Vix Fix
Identifies potential reversal points by analyzing volatility.
Uses Bollinger Bands and percentile thresholds to detect high-probability entries.
Includes two alert levels (alert1 and alert2) with customizable criteria for signal filtering.
4. QQE Signals
Based on the smoothed RSI and QQE methodology.
Detects trend changes using adaptive ATR bands (FastAtrRsiTL).
Plots long and short signals when specific conditions are met.
5. VWAP CCI Signals
Combines VWAP and CCI for additional trade signals.
Detects crossovers and crossunders of CCI levels (-200 and 200) to generate long and short signals.
6. 200 SMA
A 200-period simple moving average is plotted to act as a trend filter.
The script rules recommend buying only when the price is above the SMA200.
Customizable Inputs
General:
Smoothing, support/resistance periods, overbought/oversold levels.
Williams Vix Fix:
Lookback periods, Bollinger Band settings, percentile thresholds.
QQE:
RSI length, smoothing factor, QQE factor, and threshold values.
VWAP CCI:
Length for calculating deviations.
Visual Elements
Dynamic candlestick colors to indicate trend direction.
Overbought/oversold circles for extreme price levels.
Resistance and support lines.
Labels and shapes for buy/sell signals from Vix Fix, QQE, and VWAP CCI.
Alerts
Alerts are configured for the Matrix Series (e.g., "BUY MATRIX") and other components, ensuring traders are notified when significant conditions are met.
Intended Use
This indicator is designed for traders seeking a multi-faceted tool to analyze market trends, identify potential reversal points, and generate actionable trading signals. It combines traditional indicators with advanced techniques for comprehensive market analysis.
Trend Filter (2-pole) [BigBeluga]Trend Filter (2-pole)
The Trend Filter (2-pole) is an advanced trend-following indicator based on a two-pole filter, which smooths out market noise while effectively highlighting trends and their strength. It incorporates color gradients and support/resistance dots to enhance trend visualization and decision-making for traders.
SP500:
🔵What is a Two-Pole Filter?
A two-pole filter is a digital signal processing technique widely used in electronics, control systems, and time series data analysis to smooth data and reduce noise.
//@function Two-pole filter
//@param src (series float) Source data (e.g., price)
//@param length (float) Length of the filter (higher value means smoother output)
//@param damping (float) Damping factor for the filter
//@returns (series float) Filtered value
method two_pole_filter(float src, int length, float damping) =>
// Calculate filter coefficients
float omega = 2.0 * math.pi / length
float alpha = damping * omega
float beta = math.pow(omega, 2)
// Initialize the filter variables
var float f1 = na
var float f2 = na
// Update the filter
f1 := nz(f1 ) + alpha * (src - nz(f1 ))
f2 := nz(f2 ) + beta * (f1 - nz(f2 ))
f2
It operates using two cascaded smoothing stages (poles), allowing for a more refined and responsive output compared to simple moving averages or other basic filters.
Two-pole filters are particularly valued for their ability to maintain smooth transitions while reducing lag, making them ideal for applications where precision and responsiveness are critical.
In trading, this filter helps detect trends by smoothing price data while preserving significant directional changes.
🔵Key Features of the Indicator:
Gradient-Colored Trend Filter Line: The main filter line dynamically changes color based on trend strength and direction:
- Green: Strong uptrend.
- Red: Strong downtrend.
- Yellow: Indicates a transition phase, signaling potential trend shifts.
Support and Resistance Dots with Signals:
- Dots are plotted below the filter line during uptrends and above it during downtrends.
- These dots represent consecutive rising or falling conditions of the filter line, which traders can set in the settings (e.g., the number of consecutive rises or falls required).
- The dots often act as dynamic support or resistance levels, providing valuable guidance during trends.
- Trend Signals:
Customizable Sensitivity: The indicator allows traders to adjust the filter length, damping factor, and the threshold for rising/falling conditions, enabling it to adapt to different trading styles and timeframes.
Bar Color Option: The indicator can optionally color bars to match the gradient of the filter line, enhancing visual clarity of trends directly on the price chart.
🔵How It Works:
The Trend Filter (2-pole) smooths price data using a two-pole filter, which reduces noise and highlights the underlying trend.
The gradient coloring of the filter line helps traders visually assess the strength and direction of trends.
Rising and falling conditions of the filter line are tracked, and dots are plotted when consecutive conditions meet the threshold, acting as potential support or resistance levels during trends.
The yellow transition color signals periods of indecision, helping traders anticipate potential reversals or consolidations.
🔵Use Cases:
Identify and follow strong uptrends and downtrends with gradient-based visual cues.
Use the yellow transition color to anticipate trend shifts or consolidation zones.
Leverage the plotted dots as dynamic support and resistance levels to refine entry and exit strategies.
Combine with other indicators for confirmation of trends and reversals.
This indicator is perfect for traders who want a visually intuitive and highly customizable tool to spot trends, gauge their strength, and make informed trading decisions.
VWAP Fibonacci Bands (Zeiierman)█ Overview
The VWAP Fibonacci Bands is a sophisticated yet user-friendly indicator designed to assist traders in visualizing market trends, volatility, and potential support/resistance levels. Developed by Zeiierman, this tool integrates the MIDAS (Market Interpretation Data Analysis System) methodology with Standard Deviation Bands and user-defined Fibonacci levels to provide a comprehensive market analysis framework.
This indicator is built for traders who want a dynamic and customizable approach to understanding market movements, offering features that adapt to varying market conditions. Whether you're a scalper, swing trader, or long-term investor.
█ How It Works
⚪ Anchor Point System
The indicator begins its calculations based on an anchor point, which can be set to:
A specific date for historical analysis or alignment with significant market events.
A timeframe-based reset, dynamically restarting calculations at the beginning of each selected period (e.g., daily, weekly, or monthly).
This dual-anchor method ensures flexibility, allowing the indicator to align with various trading strategies.
⚪ MIDAS Calculation
The MIDAS calculation is central to this indicator. It uses cumulative price and volume data to compute a volume-weighted average price (VWAP), offering a trendline that reflects the true value weighted by trading activity.
⚪ Standard Deviation Bands
The upper and lower bands are calculated using the standard deviation of price movements around the MIDAS line.
⚪ Fibonacci Levels
User-defined Fibonacci ratios are used to plot additional support and resistance levels between the bands. These levels provide visual cues for potential price reversals or trend continuations.
█ How to Use
⚪ Trend Identification
Uptrend: The price remains above the MIDAS line.
Downtrend: The price stays below the MIDAS line and aligns with the lower bands.
⚪ Support and Resistance
The upper and lower bands act as support and resistance levels.
Fibonacci levels provide intermediate zones for potential price reversals.
⚪ Volatility Analysis
Wider bands indicate periods of high volatility.
Narrower bands suggest low-volatility conditions, often preceding breakouts.
⚪ Overbought/Oversold Conditions
Look for the price beyond the upper or lower bands to identify extreme conditions.
█ Settings
Set Anchor Method
Anchor Method: Choose between Timeframe or Date to define the starting point of calculations.
Anchor Timeframe: For Timeframe mode, specify the interval (e.g., Daily, Weekly).
Anchor Date: For Date mode, set the exact starting date for historical alignment.
Set Std Dev Multiplier
Controls the width of the bands:
Higher values widen the bands, filtering out minor fluctuations.
Lower values tighten the bands for more responsive analysis.
Set Fibonacci Levels
Define custom Fibonacci ratios (e.g., 0.236, 0.382) to plot intermediate levels between the bands.
█ Tips for Fine-Tuning
⚪ For Trend Trading:
Use higher Std Dev Multipliers to focus on long-term trends and avoid noise. Adjust Anchor Timeframe to Weekly or Monthly for broader trend analysis.
⚪ For Reversal Trading:
Tighten the bands with a lower Std Dev Multiplier.
Use shorter anchor timeframes for intraday reversals (e.g., Hourly).
⚪ For Volatile Markets:
Increase the Std Dev Multiplier to accommodate wider price swings.
⚪ For Quiet Markets:
Decrease the Std Dev Multiplier to highlight smaller fluctuations.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
