Pre-Market ORB Break and Retest - Institutional═══════════════════════════════════
PRE-MARKET ORB BREAK AND RETEST - INSTITUTIONAL
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Free professional Pre-Market Opening Range Breakout indicator from QuantCrawler - your AI-powered futures trading analysis platform.
Built as a free resource for the trading community. Support us at quantcrawler.com and on YouTube @AutomateWithAaron.
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📊 HOW IT WORKS
1. Captures the 8:00-8:15 AM ET pre-market range where institutional investors position
2. Draws OR High, OR Low, and Midpoint levels on your chart
3. Waits for market open at 9:30 AM EST before detecting breakouts
4. Fires LONG/SHORT entry signals when price retests the OR midpoint after breakout
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✓ FEATURES
- Runs on 1m or 5m charts - captures 15m pre-market range automatically
- Zone marked at 8:15 AM, trades trigger after 9:30 AM market open
- Universal - works on futures, forex, stocks, and crypto
- Customizable sessions - NY, London, Asia, or any custom timeframe
- Adjustable breakout distance to match your instrument
- Clean visual signals - only shows actionable entries
- Session end time stops monitoring after market close
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⚙️ SETTINGS
- Breakout Distance (Points): Distance outside OR zone to confirm breakout
- Timezone: Select your trading session
- Opening Range Time: Pre-market positioning window (default 8:00-8:15)
- Session End Time: When to stop monitoring (default 16:00)
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🎯 IDEAL FOR
Day traders who defend institutional positioning levels. The 8:00-8:15 AM range captures where smart money positions before retail market open, giving you an edge on key support/resistance zones.
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🚀 WANT MORE?
This indicator pairs perfectly with QuantCrawler's AI-powered chart analysis:
- Multi-timeframe futures analysis (15m/5m/1m scalping, 4H/1H/30m intraday, 1D/4H/1H swing)
- Precision entry points, stop losses, and profit targets
- Confidence scoring for every setup
- Covers futures, forex, and crypto markets
Visit quantcrawler.com to see how AI can level up your trading.
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⚠️ DISCLAIMER
This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
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Built with ❤️ by Aaron at QuantCrawler
quantcrawler.com | AI-Powered Futures Trading Analysis
Search in scripts for "chart"
Pre-Market ORB Break and Retest - Institutional═══════════════════════════════════
PRE-MARKET ORB BREAK AND RETEST - INSTITUTIONAL
═══════════════════════════════════
Free professional Pre-Market Opening Range Breakout indicator from QuantCrawler - your AI-powered futures trading analysis platform.
Built as a free resource for the trading community. Support us at quantcrawler.com and on YouTube @AutomateWithAaron.
═══════════════════════════════════
📊 HOW IT WORKS
1. Captures the 8:00-8:15 AM ET pre-market range where institutional investors position
2. Draws OR High, OR Low, and Midpoint levels on your chart
3. Waits for market open at 9:30 AM EST before detecting breakouts
4. Fires LONG/SHORT entry signals when price retests the OR midpoint after breakout
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✓ FEATURES
- Runs on 1m or 5m charts - captures 15m pre-market range automatically
- Zone marked at 8:15 AM, trades trigger after 9:30 AM market open
- Universal - works on futures, forex, stocks, and crypto
- Customizable sessions - NY, London, Asia, or any custom timeframe
- Adjustable breakout distance to match your instrument
- Clean visual signals - only shows actionable entries
- Session end time stops monitoring after market close
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⚙️ SETTINGS
- Breakout Distance (Points): Distance outside OR zone to confirm breakout
- Timezone: Select your trading session
- Opening Range Time: Pre-market positioning window (default 8:00-8:15)
- Session End Time: When to stop monitoring (default 16:00)
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🎯 IDEAL FOR
Day traders who defend institutional positioning levels. The 8:00-8:15 AM range captures where smart money positions before retail market open, giving you an edge on key support/resistance zones.
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🚀 WANT MORE?
This indicator pairs perfectly with QuantCrawler's AI-powered chart analysis:
- Multi-timeframe futures analysis (15m/5m/1m scalping, 4H/1H/30m intraday, 1D/4H/1H swing)
- Precision entry points, stop losses, and profit targets
- Confidence scoring for every setup
- Covers futures, forex, and crypto markets
Visit quantcrawler.com to see how AI can level up your trading.
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⚠️ DISCLAIMER
This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
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Built with ❤️ by Aaron at QuantCrawler
quantcrawler.com | AI-Powered Futures Trading Analysis
15m ORB BREAK AND RETEST - MIDPOINT═══════════════════════════════════
15m ORB BREAK AND RETEST - MIDPOINT
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Free professional 15-minute Opening Range Breakout indicator from QuantCrawler - your AI-powered futures trading analysis platform.
Built as a free resource for the trading community. Support us at quantcrawler.com and on YouTube @AutomateWithAaron.
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📊 HOW IT WORKS
1. Captures the 15-minute Opening Range (default: 9:30-9:45 AM ET)
2. Draws OR High, OR Low, and Midpoint levels on your chart
3. Detects breakouts when price closes beyond the OR zone + your specified distance
4. Fires LONG/SHORT entry signals when price retests the OR midpoint after breakout
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✓ FEATURES
- Runs on 1m or 5m charts - captures 15m opening range automatically
- Universal - works on futures, forex, stocks, and crypto
- Customizable sessions - NY, London, Asia, or any custom timeframe
- Adjustable breakout distance to match your instrument
- Clean visual signals - only shows actionable entries
- Session end time stops monitoring after market close
═══════════════════════════════════
⚙️ SETTINGS
- Breakout Distance (Points): Distance outside OR zone to confirm breakout
- Timezone: Select your trading session
- Opening Range Time: First 15 minutes to capture (default 9:30-9:45)
- Session End Time: When to stop monitoring (default 16:00)
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🎯 IDEAL FOR
Day traders and swing traders who prefer wider opening ranges for reduced noise. The 15-minute OR provides more stable support/resistance levels compared to 5m setups.
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🚀 WANT MORE?
This indicator pairs perfectly with QuantCrawler's AI-powered chart analysis:
- Multi-timeframe futures analysis (15m/5m/1m scalping, 4H/1H/30m intraday, 1D/4H/1H swing)
- Precision entry points, stop losses, and profit targets
- Confidence scoring for every setup
- Covers futures, forex, and crypto markets
Visit quantcrawler.com to see how AI can level up your trading.
═══════════════════════════════════
⚠️ DISCLAIMER
This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
═══════════════════════════════════
Built with ❤️ by Aaron and QuantCrawler
quantcrawler.com | AI-Powered Futures Trading Analysis
Change in State of Delivery CISD [AlgoAlpha]🟠 OVERVIEW
This script tracks how price “changes delivery” after failed attempts to push in one direction. It builds swing levels from pivots, watches for those levels to be wicked, and then checks if price delivers cleanly in the opposite direction. When the pattern meets the script’s tolerance rules, it marks a Change in State of Delivery (CISD). These CISD levels are drawn as origin lines and are used to spot shifts in intent, failed pushes, and continuation attempts. A CISD becomes stronger when it forms after opposing liquidity is swept within a defined lookback.
🟠 CONCEPTS
The script first defines structure using swing highs/lows. These levels act as potential liquidity points. When price wicks through a swing, the script registers a mitigation event. After this, it looks for a reversal-style candle sequence: a failed push, followed by a counter-move strong enough to pass a tolerance ratio. This ratio compares how far price expanded away from the failed attempt versus the counter-move that followed. If the ratio is high enough, this becomes a CISD. The idea is simple: liquidity interaction sets context , and the tolerance logic identifies actual intent . CISD levels and sweep markers combine these two ideas into a clean map of where delivery flipped.
🟠 FEATURES
Liquidity tracking: marks swing highs/lows and updates them until expiry
Liquidity sweep confirmation when CISD aligns with recent mitigations
Alert conditions for all key events: mitigations, CISDs, and strong CISDs
🟠 USAGE
Setup : Add the script to your chart. Use it on any timeframe where swing behavior matters. Set the Swing Period for how wide a pivot must be. Set Noise Filter to control how strict the CISD detection is. Liquidity Lookback defines how recent a wick must be to confirm a sweep.
Read the chart : Origin lines mark where the CISD began. A green line signals bullish intent; a red line signals bearish intent. ▲ and ▼ shapes show CISDs that form after liquidity is swept, these mark strong signals for potential entry. Swing dots show recent swing highs/lows. Candle colors follow the latest CISD trend.
Settings that matter : Increasing Swing Period produces fewer but stronger swings. Raising Noise Filter requires cleaner counter-moves and reduces false CISDs. Liquidity Lookback controls how strict the sweep confirmation is. Expiry Bars decides how long swing levels remain active.
Screener: Multi-Timeframe CRT / ORB [Yosiet]Are you tired of manually scanning dozens of charts across different timeframes, searching for that perfect reversal setup? What if you could have a system that does the heavy lifting for you, pinpointing high-probability reversal patterns across the entire market in real-time?
Several names for the same candlestick pattern: CRT, ORB, Morning Star, Evening Star, and others, but I'm not going to talk about it.
What is a Candle Retracement (CRT) Pattern?
For those who may be unfamiliar, the Candle Retracement pattern is a robust 3-candle setup that signals the potential exhaustion of a trend and the start of a reversal.
Bullish CRT:
Candle 1 (Signal): A significant bearish candle.
Candle 2 (Retracement): A candle that sweeps the lows of Candle 1 but closes within its body. This shows the sellers are overextended and losing momentum.
Candle 3 (Confirmation): A bullish candle that closes above Candle 2's close, confirming the reversal.
Bearish CRT:
Candle 1 (Signal): A significant bullish candle.
Candle 2 (Retracement): A candle that sweeps the highs of Candle 1 but closes within its body.
Candle 3 (Confirmation): A bearish candle that closes below Candle 2's close.
How This Screener Supercharges Your Trading
Manually finding these setups is time-consuming. This indicator automates the entire process, scanning up to four symbols across nine different timeframes—from the fast-paced 5-minute chart to the strategic weekly view.
Key Features:
Multi-Symbol, Multi-Timeframe Matrix: Get an instant, bird's-eye view of all CRT signals in a clean, easy-to-read table.
Customizable Logic: Fine-tune the pattern detection to your liking:
Lookback Period: How many bars back to search for patterns.
Min Candle %: The minimum body size of Candle 1, ensuring you only get significant signals.
Sweep %: The minimum required wick sweep of Candle 2, filtering for meaningful false breaks.
Visual & Alert System:
Clear Visuals: Green circles (🟢) for Bullish CRT and red circles (🔴) for Bearish CRT.
Proactive Alerts: Receive real-time pop-up and push notifications the moment a new pattern is confirmed on any timeframe.
Final Thoughts & Risk Management
The Multi-Timeframe CRT Screener is designed to be a cornerstone of your trading strategy, helping you find high-quality setups with efficiency. However, no indicator is infallible.
Always use confluence: Use the signals from this screener in conjunction with other factors like key support/resistance levels, volume, or momentum indicators.
Manage your risk: Always use a stop-loss. A good initial stop for a CRT pattern can be placed just beyond the extreme of Candle 1 (the low for bullish, high for bearish).
I hope you find this tool as invaluable in your trading as I have. I'm constantly working on improvements, so please feel free to leave your suggestions, comments, and questions below. If you find it useful, give it a like and share it with your trading community!
Happy Trading,
Yosiet
[ArchLabs] Support & Resitance Levels Support & Resistance Levels — SR-v1.100
Smart, auto-managed zones for clean market structure
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🔍 What this indicator does
This script automatically finds and maintains high-quality support & resistance zones on your chart, so you don’t have to keep redrawing levels by hand.
It:
• Detects major swing highs and lows (pivots)
• Builds support and resistance zones (not just thin lines)
• Filters out overlapping / redundant levels
• Tracks how price interacts with those zones in real time
• Marks and alerts:
• ✅ Breakouts
• 🚨 False breakouts
• 🔁 Retests
• Flips broken support → resistance and resistance → support automatically
You get a clean structural map of the market, continuously updated.
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🧠 How levels are built (conceptually)
1. The indicator looks back over a configurable window and finds significant highs and lows (pivots).
2. From each confirmed pivot, it creates:
• A core level price (horizontal line)
• A price area around it (shaded zone), sized relative to recent price range/volatility
3. It then checks for overlaps between existing levels and new candidates:
• If a new level is too close to an existing one (within your overlap threshold), it gets discarded.
• This keeps only the most meaningful, non-redundant levels on the chart.
4. A cap of around 10 levels per side (support / resistance) keeps the view readable.
The result: a curated set of zones that actually matter, not a wall of lines.
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🎨 Visuals on the chart
You’ll see:
• Support zones
• Line: bullish color (default green)
• Area: semi-transparent band below/around the line
• Resistance zones
• Line: bearish color (default red)
• Area: semi-transparent band above/around the line
Colors are customizable for:
• Level line
• Zone area
• Breakout highlight
• Retest label
This makes it easy to visually separate support vs resistance and quickly spot key reactions.
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⚡ Dynamic behavior & level lifecycle
Each level goes through a natural “life cycle,” which the indicator tracks for you:
1. Active zone
• The level is valid and extended to the right as long as price stays “engaged” with it (using smoothed highs/lows to avoid noise).
2. Extension / pause
• When price pulls away from the level far enough, the extension can temporarily stop so the level doesn’t stretch indefinitely without interaction.
• If price comes back into the zone with meaningful action, the level can resume extension.
3. Break & role reversal
• When price cleanly breaks the level (based on smoothed price, not just a wick), the zone is:
• Stopped and locked in place
• Marked as broken
• Immediately cloned and flipped:
• Broken support becomes a new resistance zone at the same area.
• Broken resistance becomes a new support zone.
This gives you automatic role-reversal levels without manually redrawing anything.
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🧷 Event tags & alerts
The indicator tracks three key interactions with each zone:
1. Breakouts (optional)
When price decisively breaks a level:
• A small breakout label appears on/near the level:
• Support broken → bearish breakout style
• Resistance broken → bullish breakout style
• An alert message is fired (if alerts are enabled on the script)
Use this to catch true structural breaks that may signal trend continuation or regime change.
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2. False breakouts (optional)
False breakouts are marked when price:
• Wicks through a level, but
• Fails to close beyond it and quickly returns inside the zone
When detected:
• A 🚨 FB label appears at the level
• The label tracks with price while the false breakout is active
• An alert can fire each time this behavior is confirmed
This is very useful for reversal traders and anyone fading failed breakouts.
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3. Retests (optional)
Retests are detected when:
• Price re-enters a zone after previously moving away from it
• The candle comes back into the area for the first time in this new approach
The script:
• Marks the retest with a “T” label in a distinct color for support vs resistance
• Brings that level to the top of the internal priority list, keeping fresh retests visually and logically “hot”
Traders often use these as high-probability reaction points (e.g., breakout → retest → continuation).
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⚙️ Key settings
All inputs are grouped for clarity:
Support / Resistance Levels
• Pivots Lookback
Controls how far back the indicator looks for swing highs/lows.
• Higher value → fewer, stronger levels
• Lower value → more reactive, more levels
• Overlap Multiplier (Pips)
Sets how aggressively overlapping levels are merged/ignored.
• Higher value → fewer levels, more consolidation
• Lower value → more granular levels
• Auto Overlap
When enabled, the script automatically adjusts the overlap threshold based on timeframe:
• Intraday lower timeframes → tighter filtering
• Higher/intra-session → more appropriate scaling
This lets you drop the indicator on multiple timeframes without constantly retuning.
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Level Event Toggles
• Breakout Labels & Alerts (on/off)
• False Breakout Labels & Alerts (on/off)
• Retest Labels & Alerts (on/off)
Turn on only what fits your style.
Scalpers might want all three; swing traders may prefer only breakouts + retests.
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Support / Resistance Colors
Separate color groups for:
• Line & area of support levels
• Line & area of resistance levels
• Visual styling for breakouts
• Visual styling for retests
You can match your existing chart theme or build a dedicated SR layout.
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📈 How to use it in your trading
Here are a few practical ways to integrate this indicator:
• Context map
Use it as a structural overlay on any symbol/timeframe to see where price is likely to react.
• Breakout + retest setups
• Wait for a level to break with a breakout label.
• Then watch for a T (retest) label into the flipped zone.
• Combine with your own confirmation (price action, volume, oscillators, etc.).
• Mean-reversion & fade trades
• Hunt for false breakout (FB) labels on key levels.
• These are often good spots to fade aggressive moves that lose momentum.
• Confluence builder
• Combine zones with trend tools, VR/DC, moving averages, or higher timeframe structure.
• A breakout/retest at a level that also lines up with higher TF structure can be especially meaningful.
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✅ Summary
Support & Resistance Levels (SR-v1.100) is designed to be:
• Clean – no cluttered spaghetti of lines
• Adaptive – zones evolve with the market and flip roles automatically
• Actionable – breakout, false breakout, and retest events are clearly marked and alert-ready
• Flexible – works on any market and timeframe with simple, intuitive inputs
Drop it on your chart, tune the lookback & overlap to your style, and let it handle the heavy lifting of structural mapping while you focus on decisions.
Etherium CME gaps multi-timeframe auto finderThis indicator is a powerful tool that automatically detects and visualizes price gaps (Gaps) in the Ethereum CME futures market across multiple timeframes and also provides alert functionality. Price gaps occur when the futures market is inactive for a certain period, often acting as potential support or resistance zones.
What is an Ethereum CME Gap?
CME (Chicago Mercantile Exchange) is one of the largest derivatives exchanges globally. The Ethereum CME futures market is closed on weekends and certain holidays. When the market reopens, a price difference may occur between the previous closing price and the new opening price, referred to as a "CME Gap."
Key Features of the Indicator
Multi-timeframe gap detection: Detects and displays gaps across 5m, 15m, 30m, 1h, 4h, 1d timeframes simultaneously.
Customizable CME Symbol: You can specify Ethereum CME futures symbols, such as ETH1!.
Two gap price display methods:
CME_price: Displays the gap based on the actual price levels in the CME futures market.
Chart_price: Adjusts the gap to match the price levels on the chart being viewed (e.g., spot market). This helps visualize the impact of futures gaps on the spot market.
Visual customization:
Individual color settings for bullish/bearish gap boxes for each timeframe.
Adjust the extension (display length) of gap boxes in bars.
Configure label display, position, text size, background, and text color.
Highlight significant gaps: Emphasize gaps above a specified percentage with a unique color and border thickness.
Alert functionality: Receive notifications when a gap is detected, with options to enable alerts only for specific timeframes.
Why CME Gaps Matter
Traders often consider CME gaps as significant price zones.
Gap Fill: Historical data shows that many gaps tend to get "filled" over time, meaning the price returns to the gap area, reaching the start or end point of the gap.
Support/Resistance: Unfilled gaps can serve as potential support (Bullish Gap) or resistance (Bearish Gap) zones.
Bullish Gap: Occurs when the current opening price is higher than the previous closing price. Typically leaves an unfilled gap below (previous high), which can act as potential support.
Bearish Gap: Occurs when the current opening price is lower than the previous closing price. Typically leaves an unfilled gap above (previous low), which can act as potential resistance.
How to Use the Indicator
Add Indicator on TradingView: Click the "Indicators" button on the TradingView chart.
Find the indicator in "My Scripts" or "Invite-Only Scripts" and add it to the chart.
Adjust Settings: Once the indicator is added, click the settings (gear) icon to adjust inputs.
CME Symbol (ETH): ETH1! is typically the default symbol for Ethereum CME futures. Confirm based on your broker or data feed.
Min gap %: Set the minimum gap size in percentage; smaller gaps will not be displayed.
Select Exchanges to Display gap price: Choose between "CME_price" or "Chart_price." For viewing futures gaps on a spot chart, "Chart_price" is recommended.
Show Xm/h/d gap boxes: Select which timeframe gap boxes to display.
Color, Extension, Label settings: Customize the visual aspects of gap boxes and labels.
Highlight gap % (>=): Set the minimum percentage for highlighting significant gaps.
Enable Alerts: Choose whether to receive alerts when a gap is detected.
Alert Timeframe: Select whether alerts apply to all timeframes or specific ones only.
Chart Analysis
Once the indicator is applied, gap boxes for the selected timeframes appear on the chart.
Green shades indicate Bullish Gaps, and red shades indicate Bearish Gaps (default green can be customized, and bearish gap color can be set separately).
Highlighted gaps may carry higher significance and should be monitored carefully.
Potential trading opportunities can be explored when the price approaches or attempts to fill a gap.
Usage Strategies (Examples)
Support/Resistance Confirmation: The lower boundary of a bullish gap can act as potential support, while the upper boundary of a bearish gap can act as potential resistance. Observe for reversals or breakouts when price reaches these areas.
Retracement Trading: Trade when the price returns to fill a gap after leaving it through a sharp move up or down.
Multi-timeframe Analysis: Gaps overlapping across multiple timeframes can form stronger support/resistance zones.
Considerations
* "Gap Filled" Condition: The indicator does not draw a gap if it determines that the gap has already been filled by the current bar’s low (bullish gap) or high (bearish gap).
* Tool Only: This indicator is a gap detection tool and should not be used alone for trading decisions. Always combine with other technical analysis tools and your trading strategy.
* Past Data ≠ Future Guarantee: Historical gap fill trends do not guarantee future occurrences.
This indicator allows effective tracking of Ethereum CME futures gaps and provides valuable insights for enhancing your trading strategy.
Turtle 20-Day Breakout (Donchian)Yes, the most important indicator used in the Turtle Rules (Turtle Trading Strategy) for finding breakouts above previous highs is the Donchian Channel. 🐢📈
Donchian Channel
The Donchian Channel is a trend-following indicator composed of three lines plotted on the chart:
Shutterstock
Upper Band: The highest high over the defined number of periods.
Lower Band: The lowest low over the defined number of periods.
Middle Line: The average of the Upper and Lower bands (not always used, but sometimes added for orientation).
The Turtle Rules use the following periods for the entry signals (breakouts) you mentioned in your query:
Short-Term (System 1): Crossing the 20-day high (this corresponds to the upper band of a Donchian Channel with a 20-period setting).
Mid-Term/Long-Term (System 2): Crossing the 55-day high (this corresponds to the upper band of a Donchian Channel with a 55-period setting).
Crossing the upper band signals a breakout and serves as the buy signal for a long position (for short positions, crossing below the lower band is used).
Is there anything else I can translate for you, or would you like me to elaborate on the Average True Range (ATR), the other key indicator used by the Turtles?
US Leverage Overlay — Margin Debt & Total Credit (YoY / Z-score)What this does
An overlay indicator that brings U.S. leverage proxies from FRED onto your main price chart (left axis). Choose between a proxy for investor margin debt or total credit market debt and view them as YoY %, Z-score of YoY, or an Indexed Level so they’re comparable with price without wrecking the scale.
Data sources (FRED symbols)
--- Margin (investor leverage proxy): FRED:BOGZ1FL663067003Q
Brokers & Dealers; Receivables Due from Customers ≈ margin loans (quarterly).
--- TotalCredit (economy-wide leverage): FRED:TCMDO
All sectors; Debt Securities & Loans; Liability (quarterly).
Note: These are quarterly series. The indicator samples monthly and holds values between official prints, so you’ll see step-like updates when new data drops.
Views (pick one in settings)
--- YoY % — 12-month rate of change. Above 0% = leverage expanding; below 0% = contracting.
--- Z-score (YoY) — Standardizes YoY vs. its recent history to flag unusual moves (regime shifts).
--- Indexed Level — 100 × (level / moving average), a compact “above/below trend” view.
How to read quickly
--- Rising YoY % > 0 → leverage expansion (often supportive for risk).
--- Falling YoY % < 0 → deleveraging headwind.
--- Z-score spikes (±2) → unusually fast changes; watch for volatility or policy inflections.
--- Indexed Level crossing down through 100 → slipping below trend.
Inputs
--- Data source: Margin or TotalCredit
--- YoY/Z-score lookbacks and Index baseline length
--- Overlay: overlay=true, scale=scale.left (uses its own left axis by default)
Tips
--- If it spawns in a sub-pane, right-click the label → Move to → Main chart.
--- For context, consider adding related series on separate panes:
FRED:TOTALSL (Consumer Credit), FRED:REVOLSL (Credit Cards),
FRED:BUSLOANS (C&I Loans), FRED:TDSP (Debt Service Ratio).
--- Occasionally FRED returns “Failed to fetch”; re-add or reload fixes it.
Why it’s useful
Equity drawdowns often line up with turns in leverage (households, corporates, or brokers). This overlay gives you a clean, normalized read so you can spot expansion vs. contraction alongside price action.
Compatibility
--- Pine Script® v6
--- Works on any chart timeframe (data internally sampled monthly)
Educational use only — not financial advice.
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction
The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts.
Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern.
The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it.
🔵 Identifying the QM Pattern
🟣 Bullish QM
In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement.
🟣 Bearish QM
The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes.
🔵 How to Use
The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases.
🟣 Bullish Quasimodo
A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low.
This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy.
🟣 Bearish Quasimodo
A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped.
Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps.
🔵 Setting
Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5.
Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter.
Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter.
Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point.
Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980.
Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15.
🔵 Results
The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image.
⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences.
Default Properties of Backtests :
OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year :
BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year :
CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year :
NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year :
OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year :
PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
Major exchages total Open interest & Long/Short OI trends📊 Indicator: Major Exchanges Total OI & Long/Short Trends
This Pine Script™ indicator is designed to provide a comprehensive analysis of Open Interest (OI) and Long/Short position trends across major cryptocurrency exchanges (Binance, Bybit, OKX, Bitget, HTX, Deribit). It serves as a powerful tool for traders seeking to understand market liquidity, participant positioning, and overall market sentiment.
🔑 Key Features and Functionalities
Aggregated Multi-Exchange Open Interest (OI):
Consolidates real-time Open Interest data from user-selected major cryptocurrency exchanges.
Provides a unified view of the total OI, offering insights into the collective market liquidity and the aggregate size of participants' open positions.
Visualized Combined OI Candles:
Presents the aggregated total OI data in a candlestick chart format.
Displays the Open, High, Low, and Close of the combined OI, with color variations indicating increases or decreases from the previous period. This enables intuitive visualization of OI trend shifts.
Estimated Long/Short OI and Visualization:
Calculates and visualizes estimated Long and Short position Open Interest based on the total aggregated OI data.
Estimation Logic:
Employs a sophisticated logic that considers both price changes and OI fluctuations to infer the balance between Long and Short positions. For instance, an increase in both price and OI may suggest an accumulation of Long positions, while a price decrease coupled with an OI increase might indicate growing Short positions.
Initial 50:50 Ratio:
The estimation for Long/Short OI begins with an assumption of a 50:50 ratio at the initial data point available for the selected timeframe. This establishes a neutral baseline, from which subsequent price and OI changes drive the divergence and evolution of the estimated Long/Short balance.
Flexible Visualization Options:
Allows users to display Long/Short OI data in either line or candlestick styles, with customizable color schemes. This flexibility aids in clearly discerning bullish or bearish positioning trends.
💡 Development Background
The development of this indicator stems from the critical importance of Open Interest data in the cryptocurrency derivatives market. Recognizing the limitations of analyzing individual exchange OI in isolation, the primary objective was to integrate data from leading exchanges to offer a holistic perspective on market sentiment and overall positioning dynamics.
The inclusion of the Long/Short position estimation feature is crucial for deciphering the specific directional biases of market participants, which is often not evident from raw OI data alone. This enables a deeper understanding of how positions are being accumulated or liquidated, moving beyond simple OI change analysis.
Furthermore, a key design consideration was to leverage the characteristic where the indicator's data start point dynamically adjusts with the chart's timeframe selection. This allows for the analysis of short-term Long/Short trends on shorter timeframes and long-term trends on longer timeframes. This inherent flexibility empowers traders to conduct analyses across various time scales, aligning with their diverse trading strategies.
🚀 Trading Applications
Leveraging Combined Open Interest (OI):
Trend Confirmation: A sustained increase in total OI signifies growing market interest and capital inflow, potentially confirming the strength of an existing trend. Conversely, decreasing OI may suggest diminishing participant interest or widespread position liquidation.
Validation of Price Extremes: If price forms a new high but OI fails to increase or declines, it could signal a potential trend reversal (divergence). Conversely, a sharp increase in OI during a price decline might indicate a surge in short positions or renewed selling pressure.
Identifying Volatility Triggers: Monitoring rapid shifts in OI during significant news events or market catalysts can help assess immediate market reactions and liquidity changes.
📈Utilizing Long/Short OI Trends
Assessing Market Bias: A sustained dominance or rapid increase in Long OI suggests a prevalent bullish sentiment, which could inform decisions to enter or maintain long positions. The inverse scenario indicates bearish sentiment and potential short entry opportunities.
Anticipating Squeezes: The indicator can help identify scenarios conducive to short or long squeezes. Excessive short positioning followed by a price uptick can trigger a short squeeze, leading to rapid price appreciation. Conversely, an oversupply of long positions preceding a price drop can result in a long squeeze and sharp declines.
Divergence Analysis: Divergences between price action and Long/Short OI estimates can signal potential trend reversals. For example, if price is rising but the increase in Long OI slows down or Short OI begins to grow, it may suggest weakening buying pressure.
🕔Timeframe-Specific Trend Analysis:
Shorter Timeframes (e.g., 1m, 5m, 15m): Ideal for identifying short-term shifts in participant positioning, beneficial for day trading and scalping strategies. Provides insights into immediate market reactions to price movements.
Longer Timeframes (e.g., 1h, 4h, Daily): Valuable for evaluating broader positioning trends and the sustainability or potential reversal of medium-to-long-term trends. Offers a macro perspective on Long/Short dynamics, suitable for swing trading or long-term investment strategies.
This indicator integrates complex market data, provides nuanced Long/Short position estimations, and offers multi-timeframe analytical capabilities, empowering traders to make more informed and strategic decisions.
Quantura - Liquidity Sweep & Run LevelsIntroduction
“Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits.
Originality & Value
This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations.
Its originality lies in:
Automatic identification and tracking of swing highs and lows.
Real-time detection of broken levels and liquidity sweeps.
Distinction between “Run” and “Sweep” modes for different market behaviors.
Persistent historical visualization of liquidity levels using clean line structures.
Configurable signal markers for bullish and bearish sweep confirmations.
Functionality & Core Logic
Detects swing highs and lows using a user-defined Swing Length parameter.
Stores and updates all swing levels dynamically with arrays for efficient memory handling.
Draws horizontal lines from each detected swing point to visualize potential liquidity zones.
Monitors when price breaks a swing level and marks that event as “broken.”
Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode.
Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps).
Parameters & Customization
Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations).
Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points.
Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers.
Signals: Enables or disables visual up/down markers for confirmed events.
Visualization & Display
Horizontal lines represent potential liquidity levels (unbroken swing highs/lows).
Once broken, lines automatically stop extending, marking the moment liquidity is taken.
Depending on the selected mode:
“Sweep” mode identifies false breaks or stop-hunt behavior.
“Run” mode highlights breakouts that continue the trend.
Colored arrows indicate the direction and type of liquidity reaction.
Clean, non-intrusive visualization suitable for overlaying on price charts.
Use Cases
Detect liquidity sweeps before major reversals.
Identify breakout continuations after liquidity runs.
Combine with Supply/Demand or FVG indicators for multi-layered confirmation.
Validate liquidity bias in algorithmic or discretionary strategies.
Analyze market manipulation patterns and institutional stop-hunting behavior.
Limitations & Recommendations
This indicator identifies structural behavior but does not guarantee trade direction or profitability.
Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices).
Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters.
Excessively small swing settings may cause over-signaling in volatile markets.
Markets & Timeframes
Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts).
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.
MTF Supertrend + MA [TCMaster]Overview:
The MTF Supertrend + MA indicator combines two powerful multi-timeframe tools — the Supertrend and Moving Averages (MA) — into one unified and customizable framework. It allows traders to analyze market trends and dynamic support/resistance levels from multiple higher timeframes directly on a single chart.
⚙️ Features
🟩 Supertrend Section
Up to 4 configurable Supertrends, each from a different timeframe.
Adjustable ATR Length and Multiplier (Factor).
Independent visibility, colors, and timeframes for each layer.
Built-in alert conditions for trend reversals (Uptrend ↔ Downtrend).
Clean visual overlay on price chart.
🟦 Moving Average (MA) Section
Up to 4 multi-timeframe MAs displayed simultaneously.
Supports multiple MA types:
SMA, EMA, WMA, RMA, HMA, VWMA, DEMA, TEMA.
Independent control for each MA: color, line width, and timeframe.
Dynamic Info Label displaying distance between price and each MA in real-time.
Smooth, accurate MTF synchronization (no repainting from lookahead).
💡 How to Use
Identify higher-timeframe trend direction using Supertrend signals.
Use MAs as dynamic support/resistance or mean reversion zones.
Combine both for multi-timeframe confluence trading:
e.g., look for long entries when lower TF Supertrend turns bullish and price is above higher TF MAs.
Set alerts to get notified when any Supertrend flips its direction.
🧩 Customization
All parameters are grouped into two sections for clarity:
Supertrend Settings
MA Settings
Fully compatible with all chart types and timeframes.
⚠️ Notes
This indicator is designed for visual multi-timeframe analysis, not for automation.
Alerts only trigger when the corresponding timeframe bar closes.
Ensure replay mode or real-time conditions to verify alert behavior.
Session Streaks [LuxAlgo]The Session Streaks tool allows traders to identify whether a session is bullish or bearish on the chart. It also shows the current session streak, or the number of consecutive bullish or bearish sessions.
The tool features a dashboard with information about the session streaks of the underlying product on the chart.
🔶 USAGE
Analyzing session streaks is commonly used for market timing by studying the number of consecutive sessions over time and how long they last before the market changes direction.
We identify a bullish session as one in which the closing price is equal to or greater than the opening price, and a bearish session as one in which the closing price is below the opening price.
Each session is labeled according to its bias (bullish or bearish) and the number of consecutive sessions of the same type that conform the current streak.
🔹 Dashboard
The dashboard at the top shows information about the current session.
Under the "Streaks" header, historical information about session streaks is displayed, divided into bullish and bearish categories.
Number: Total number of streaks.
Median: The average duration of those streaks. We chose the median over the mean to avoid misrepresentation due to outliers.
Mode: The most common streak duration.
As the image shows, for this particular market, there are more bullish streaks than bearish ones. Bullish streaks have an average duration that is longer than that of bearish streaks, and both have the same most common streak duration.
If the current session is bullish and the median streak duration for bullish sessions is three, then we could consider scenarios in which the next two sessions are bullish.
🔶 DETAILS
🔹 Streaks On Larger Timeframes
On timeframes lower than or equal to Daily, the tool identifies each consecutive session, but this behavior changes on larger timeframes.
On timeframes larger than daily, the tool identifies the last session of each bar. Let's use the chart in the image as a reference.
At the top of the image, there is a daily chart where each session corresponds to each candle. One candle equals one day.
In the middle, we have a weekly chart where each session is the last session of each week, which is usually Friday for the Nasdaq 100 futures contract. The levels and labels displayed correspond to the last session within each candle, which is the last day of each week.
The levels and labels on the monthly chart correspond to the last session of each month, which is the last day of each month.
🔹 Gradient Style
Traders can choose between two different color gradients for the session background. Each gradient provides different information about price behavior within each session.
Horizontal: Green indicates prices at the top of the session range and red indicates prices at the bottom.
Vertical: Green indicates prices that are equal to or greater than the open price and red indicates prices that are below the open price of the session.
🔶 SETTINGS
🔹 Dashboard
Dashboard: Enable or disable the dashboard.
Position: Select the location of the dashboard.
Size: Select the dashboard size.
🔹 Style
Bullish: Select a color for bullish sessions.
Bearish: Select a color for bearish sessions.
Transparency: Select a transparency level from 100 to 0.
Gradient: Select a horizontal or vertical gradient.
Previous D/W/M HLOCHey traders,
Here's a simple Multi-Timeframe indicator that essentially turns time and price into a box. It'll take the previous high, low, opening price, or closing price from one of the three timeframes of your choice (day, week, or month). For whatever reason I can't get the opening price to function consistently so if you find improvements feel free to let me know, this will help traders who prefer to use opening price over closing price.
Naturally this form of charting is classical and nature and some key figures you could use to study its usage are
- Richard W. Schabacker (1930s)
- Edwards & Magee (1948)
- Peter Brandt
- Stacey Burke (more on the intraday side - typically our preference)
It's usage put plainly:
- Quantifying Accumulation or Distribution
- Revealing Energy Build-Up (Compression)
- Framing Breakouts and False Breakouts
- Structuring Time
- Identifying opportunities to trade a daily, weekly, or monthly range.
Zarks 4H Range, 15M Triggers Pt2🕓 4-Hour Structure Dividers ⏰
📈 Vertical lines represent each 4-hour candle broken down into smaller execution timeframes — perfect for aligning entries across 15-minute, 5-minute, and 1-minute charts.
🧭 The lines remain true and synchronized with the 4-hour structure, ensuring timing accuracy:
⏱ 15-Minute: Lines appear at :45 of each corresponding hour
⚙️ 5-Minute: Lines appear at :55 of each corresponding hour
🔹 1-Minute: Lines appear at :59 of each corresponding hour
🎯 Use these precise vertical dividers to visualize higher-timeframe structure while executing on lower-timeframe setups — ideal for confluence traders combining HTF bias with LTF precision.
HTF Session Boxes H4 > H2 > H1HTF Session Boxes H4 > H2 > H1
Visualize higher timeframe candle structures on lower timeframe charts with nested, customizable boxes.
Overview
HTF Session Boxes plots 4-hour, 2-hour, and 1-hour candle ranges as nested boxes directly on your lower timeframe charts (15M and below). This provides instant visual context of higher timeframe structure without switching between different chart timeframes.
Key Features
- Three Timeframe Levels: Simultaneously displays 4H, 2H, and 1H candle boxes
- Nested Design: Boxes are layered inside each other for clear hierarchical structure
- Real-Time Updates: Boxes dynamically adjust as higher timeframe candles develop
Fully Customizable:
-Individual colors and transparency for each timeframe
-Custom border colors, widths, and styles (solid, dashed, dotted)
-Toggle each timeframe on/off independently
Best Use Cases
-Scalping & Day Trading: Maintain awareness of higher timeframe structure while trading lower
timeframes
-Session Analysis: Clearly see 4H session boundaries and internal 2H/1H divisions
-Support/Resistance: Identify key levels where higher timeframe candles open, close, or create
highs/lows
-Multi-Timeframe Confluence: Spot when multiple timeframes align at key price levels
SECTOR ROTATION Sector Rotation Indicator with Auto Chart Symbol
This indicator helps traders track relative performance across multiple indices/sectors simultaneously, making it easy to identify sector rotation and market leadership.
Key Features:
✅ 21 Symbols Tracking: Monitor 20 customizable symbols + your current chart symbol automatically(DIVIDEND SYMBOL)
✅ Percentage Performance: All moving averages show percentage gain/loss from 1 timeframe period ago
✅ Color-Coded Visualization: Heat map coloring (red to green) based on relative performance ranking
✅ Flexible Timeframes: Works on any timeframe from 1-minute to 12-month charts
✅ Performance Table: Quick-view table showing candle performance with inside/outside bar detection
✅ Indian Market Ready: Pre-configured with NSE indices (NIFTY, BANKNIFTY, and sectoral indices)
Default Symbols (Customizable):
NIFTY, CNXSMALLCAP, CNXMIDCAP, BANKNIFTY
Sector indices: IT, AUTO, PHARMA, METAL, ENERGY, FMCG, etc.
Plus your current chart symbol (automatically added)
How It Works:
Select your preferred timeframe (1D, 1W, 1M, etc.)
The indicator calculates percentage performance from given period ago
Moving averages show smoothed performance trends
Colors indicate relative strength: Green = outperformers, Red = underperformers
Perfect For:
Sector rotation analysis
Relative strength comparison
Market breadth assessment
Index/ETF traders
Swing and position traders
Settings:
Adjustable MA length (default: 20)
Customizable colors and table position
Show/hide percentage labels
Horizontal or vertical table layout
This is not any buy or sell signal or recommendation, consult with your advisor first.
Buyside & Sellside Liquidity The Buyside & Sellside Liquidity Indicator is an advanced Smart Money Concepts (SMC) tool that automatically detects and visualizes liquidity zones and liquidity voids (imbalances) directly on the chart.
🟢 Function and meaning:
1. Buyside Liquidity (green):
Highlights price zones above current price where short traders’ stop-loss orders are likely resting.
When price sweeps these areas, it often indicates a liquidity grab or stop hunt.
👉 These zones are labeled with 💵💰 emojis for a clear visual cue where smart money collects liquidity.
2. Sellside Liquidity (red):
Highlights zones below the current price where long traders’ stop-losses are likely placed.
Once breached, these often signal a potential reversal upward.
👉 The 💵💰🪙 emojis make these liquidity targets visually intuitive on the chart.
3. Liquidity Voids (bright areas):
Indicate inefficient price areas, where the market moved too quickly without filling orders.
These zones are often revisited later as the market seeks balance (fair value).
👉 Shown as light shaded boxes with 💰 emojis to emphasize imbalance regions.
💡 Usage:
• Helps spot smart money manipulation and stop hunts.
• Marks potential reversal or breakout zones.
• Great for traders applying SMC, ICT, or Fair Value Gap strategies.
✨ Highlight:
Dollar and money bag emojis (💵💰🪙💸) are integrated directly into chart labels to create a clear and visually engaging representation of liquidity areas.
Rolling Performance Metrics TableRolling Performance Metrics Table
A clean, customizable table overlay that displays rolling performance metrics across multiple time periods. Perfect for quickly assessing price momentum and performance trends at a glance.
FEATURES:
- Displays performance across 5 time periods: 1 Week, 3 Month, 6 Month, 1 Year, and 2 Year
- Shows historical price at the start of each period
- Calculates both absolute price change and percentage change
- Color-coded results: Green for positive performance, Red for negative performance
- Fully transparent design with no background or borders - text floats cleanly over your chart
- Customizable table position (9 placement options)
DISPLAY COLUMNS:
1. Period - The lookback timeframe
2. Price - The historical price at the start of the period
3. Change (Value) - Absolute price change from the period start
4. Change (%) - Percentage return over the period
CUSTOMIZATION:
- Adjust the number of bars for each period (default: 1 Week = 5 bars, 3 Month = 63 bars, 6 Month = 126 bars, 1 Year = 252 bars, 2 Year = 504 bars)
- Choose from 9 table positions: Top, Middle, Bottom combined with Left, Center, Right
- Default position: Middle Left
USAGE:
Perfect for traders who want to quickly assess momentum across multiple timeframes. The transparent overlay design ensures minimal obstruction of chart analysis while providing critical performance data at a glance.
NOTE:
- The table only appears on the last bar of your chart
- Customize bar counts in settings to match your specific timeframe needs (e.g., daily vs hourly charts)
- "N/A" appears when historical data is insufficient for the selected period
Institutional Zones: Opening & Closing Trend HighlightsDescription / Content:
Track key institutional trading periods on Nifty/Bank Nifty charts with dynamic session zones:
Opening Volatility Zone: 9:15 AM – 9:45 AM IST (Green)
Closing Institutional Zone: 1:30 PM – 3:30 PM IST (Orange)
Both zones are bounded by the day’s high and low to help visualize institutional activity and price behavior.
Key Observations:
Breakout in both closing trend and opening trends often occurs on uptrending days.
Breakdown in both closing range and opening range usually happens on downside trending days.
Price opening above the previous closing trend is often a sign of a strong opening.
This script helps traders identify trend strength, breakout/breakdown zones, and institutional participation during critical market hours.
Disclaimer:
This indicator is for educational and informational purposes only. It is not a financial advice or recommendation to buy or sell any instrument. Always confirm with your own analysis before taking any trade.
Pine Script Features:
Dynamic boxes for opening and closing sessions
Boxes adjust to the day’s high and low
Optional labels at session start
Works on intraday charts (1m, 5m, 15m, etc.)
Usage Tip:
Use this indicator in combination with trend analysis and volume data to spot strong breakout/breakdown opportunities in Nifty and Bank Nifty.
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph
Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter.
Scope and intent
• Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto
• Timeframes: 5 min to 1 day
• Default demo: SPY on 60 min
• Purpose: fade stretched moves only when multi-anchor context and breadth agree
• Limits: strategy uses standard candles for signals and orders only
Originality and usefulness
• Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM
• Failure mode addressed: chasing extended moves and fading during index-wide thrusts
• Testability: each component is an input and visible in orders list via L and S tags
• Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols
• Open source: method and implementation are disclosed for community review
Method overview in plain language
Base measures
• Range basis: ATR(length = atr_len) as the normalization unit
• Return basis: not used directly; we use rank statistics for stability
Components
• Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len
• Robust Z of Close: median and MAD based Z to avoid outliers
• Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts
• Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided
• Gap Shock: skip signals after large session gaps
Fusion rule
• All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear
Signal rule
• Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok
• Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok
What you will see on the chart
• Standard strategy arrows for entries and exits
• Optional short-side brackets: ATR stop and ATR take profit if enabled
Inputs with guidance
Setup
• Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts.
• ATR length: normalization unit. Typical 10 to 20. Higher reduces noise.
• VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0.
• Robust Z window: 40 to 100. Larger for stability.
• Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only.
• Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches.
• Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs.
Regime and Breadth
• Use breadth gate: on when trading indices or broad ETFs.
• Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts.
• Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade.
Risk — Short only
• Enable short SL TP: on to bracket shorts.
• Short ATR stop mult: 1.0 to 3.0.
• Short ATR take profit mult: 1.0 to 6.0.
Properties visible in this publication
• Initial capital: 25000USD
• Default order size: Percent of total equity 3%
• Pyramiding: 0
• Commission: 0.03 percent
• Slippage: 5 ticks
• Process orders on close: OFF
• Bar magnifier: OFF
• Recalculate after order is filled: OFF
• Calc on every tick: OFF
• request.security lookahead off where used
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Fills and slippage vary by venue
• Shapes can move during bar formation and settle on close
• Standard candles only for strategies
Honest limitations and failure modes
• Economic releases or very thin liquidity can overwhelm mean-reversion logic
• Heavy gap regimes may require larger gap filter or TR-based tuning
• Very quiet regimes reduce signal contrast; extend windows or raise thresholds
Open source reuse and credits
• None
Strategy notice
Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution.
Entries and exits
• Entry logic: as in Signal rule above
• Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup
• Risk model: ATR-based brackets on shorts when enabled
• Tie handling: stop first when both could be touched inside one bar
Dataset and sample size
• Test across your visible history. For robust inference prefer 100 plus trades.
FluxGate Daily Swing StrategySummary in one paragraph
FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close.
Scope and intent
• Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs
• Timeframes. From one minute to daily
• Default demo in this publication. SPY on one day timeframe
• Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy
• Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution
Originality and usefulness
• Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another.
• Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean.
• Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common.
• Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart.
• Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number.
Method overview in plain language
Base measures
• Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window.
• Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks.
Components
• Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating.
• Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms.
• Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss.
• Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior.
• Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there.
• Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act.
• Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule.
• Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize.
Fusion rule
• Normalize the three drivers after removing overlap
• Blend with weights that adapt to your aggression input
• Multiply by the gates to respect path quality
• Smooth just enough to avoid jitter while keeping timing responsive
• Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign
• The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug
Signal rule
• A long suggestion appears when the long score crosses above its long threshold while all gates are active
• A short suggestion appears when the short score crosses below its short threshold while all gates are active
• If any required gate is missing the state is wait
• When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips
Inputs with guidance
Setup Long
• Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise
• Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing
Setup Short
• Base length Short. Master window for the short engine. Typical range twenty eight to ninety six
• Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols
Entries and UI
• Entry mode. Both or Long only or Short only
Complementary risk engine
• Enable risk engine. Turns on bracket exits while keeping your signal logic untouched
• ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance
• ATR length. Default fourteen
• Stop multiple. Default one point five times the anchor ATR
• Use take profit. On by default
• Take profit in R. Default two R
• Breakeven trigger in R. Default one R
Usage recipes
Intraday trend focus
• Entry mode Both
• ATR anchor Week
• Aggression Long zero point five Aggression Short zero point three
• Stop multiple one point five Take profit two R
• Expect fewer trades that stick to directional pushes and skip treadmill noise
Intraday mean reversion focus
• Session windows optional if you add them in your copy
• ATR anchor Day
• Lower aggression both sides
• Breakeven later and trailing later so the first bounce has room
• This favors fade entries that still convert into trends when the path stays clean
Swing continuation
• Signal timeframe four hours or one day
• Confirm timeframe one day if you choose to include bias
• ATR anchor Week or Month
• Larger base windows and a steady two R target
• This accepts fewer entries and aims for larger holds
Properties visible in this publication
• Initial capital 25.000
• Base currency USD
• Default order size percent of equity value three - 3% of the total capital
• Pyramiding zero
• Commission zero point zero three percent - 0.03% of total capital
• Slippage five ticks
• Process orders on close off
• Recalculate after order is filled off
• Calc on every tick off
• Bar magnifier off
• Any request security calls use lookahead off everywhere
Realism and responsible publication
• No performance promises. Past results never guarantee future outcomes
• Fills and slippage vary by venue and feed
• Strategies run on standard candles only
• Shapes can update while a bar is forming and settle on close
• Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable
Honest limitations and failure modes
• Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads
• Gap heavy symbols often behave better with a True Range basis for risk than a simple range
• Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep
• Session windows follow the exchange time of the chart if you add them
• If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative
Open source reuse and credits
• No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
