DCA Percent SignalOverview
The DCA Percent Signal Indicator generates buy and sell signals based on percentage drops from all-time highs and percentage gains from lowest lows since ATH. This indicator is designed for pyramiding strategies where each signal represents a configurable percentage of equity allocation.
Definitions
DCA (Dollar-Cost Averaging): An investment strategy where you invest a fixed amount at regular intervals, regardless of price fluctuations. This indicator generates signals for a DCA-style pyramiding approach.
Gann Bar Types: Classification system for price bars based on their relationship to the previous bar:
Up Bar: High > previous high AND low ≥ previous low
Down Bar: High ≤ previous high AND low < previous low
Inside Bar: High ≤ previous high AND low ≥ previous low
Outside Bar: High > previous high AND low < previous low
ATH (All-Time High): The highest price level reached during the entire chart period
ATL (All-Time Low): The lowest price level reached since the most recent ATH
Pyramiding: A trading strategy that adds to positions on favorable price movements
Look-Ahead Bias: Using future information that wouldn't be available in real-time trading
Default Properties
Signal Thresholds:
Buy Threshold: 10% (triggers every 10% drop from ATH)
Sell Threshold: 30% (triggers every 30% gain from lowest low since ATH)
Price Sources:
ATH Tracking: High (ATH detection)
ATL Tracking: Low (low detection)
Buy Signal Source: Low (buy signals)
Sell Signal Source: High (sell signals)
Filter Options:
Apply Gann Filter: False (disabled by default)
Buy Sets ATL: False (disabled by default)
Display Options:
Show Buy/Sell Signals: True
Show Reference Lines: True
Show Info Table: False
Show Bar Type: False
How It Works
Buy Signals: Trigger every 10% drop from the all-time highest price reached
Sell Signals: Trigger every 30% increase from the lowest low since the most recent all-time high
Smart Tracking: Uses configurable price sources for signal generation
Key Features
Configurable Thresholds: Adjustable buy/sell percentage thresholds (default: 10%/30%)
Separate Price Sources: Independent sources for ATH tracking, ATL tracking, and signal triggers
Configurable Signals: Uses low for buy signals and high for sell signals by default
Optional Gann Filter: Apply Gann bar analysis for additional signal filtering
Optional Buy Sets ATL: Option to set ATL reference point when buy signals occur
Visual Debug: Detailed labels showing signal parameters and values
Usage Instructions
Apply to Chart: Use on any timeframe (recommended: 1D or higher for better signal quality)
Risk Management: Adjust thresholds based on your risk tolerance and market volatility
Signal Analysis: Monitor debug labels for detailed signal information and validation
Signal Logic
Buy signals are blocked when ATH increases to prevent buying at peaks
Sell signals are blocked when ATL decreases to prevent selling at lows
This ensures signals only trigger on subsequent bars, not the same bar that establishes new reference points
Buy Signals:
Calculate drop percentage from ATH to buy signal source
Trigger when drop reaches threshold increments (10%, 20%, 30%, etc.)
Always blocked on ATH bars to prevent buying at peaks
Optional: Also blocked on up/outside bars when Gann filter enabled
Sell Signals:
Calculate gain percentage from lowest low to sell signal source
Trigger when gain reaches threshold increments (30%, 60%, 90%, etc.)
Always blocked when ATL decreases to prevent selling at lows
Optional: Also blocked on down bars when Gann filter enabled
Limitations
Designed for trending markets; may generate many signals in sideways/ranging markets
Requires sufficient price movement to be effective
Not suitable for scalping or very short timeframes
Implementation Notes
Signals use optimistic price sources (low for buys, high for sells), these can be configured to be more conservative
Gann filter provides additional signal filtering based on bar types
Debug information available in data window for real-time analysis
Detailed labels on each signal show ATH, lowest low, buy level, sell level, and drop/gain percentages
Candlestick analysis
Scalp BTC/ETH — Reversal & Continuation (v1, Pine v6)Scalp BTC/ETH — Reversal & Continuation (1m à 10m)
Cet indicateur détecte des opportunités de micro-scalping sur futures (BTC/ETH) basées sur deux mécaniques courtes validées par structure de prix :
A) Reversal de pression (contre-mouvement contrôlé)
Détection d’une sur-extension brutale suivie d’une absorption sur la bougie suivante.
Objectif : capturer la première respiration après un excès de prix (rejet court).
B) Continuation courte (momentum + reprise)
Détection de 3 bougies directionnelles consécutives suivies d’un pullback léger, puis signal sur la reprise du mouvement initial.
Gestion intégrée (scénario standard TP dynamique)
TP1 → 50% de la position à un gain fixe (% adaptable au timeframe)
Stop déplacé au Break-Even sur le restant
Sortie finale sur bougie inverse significative
(correction ≥ X% du corps précédent) ou timeout (max bars en trade)
Scalp BTC/ETH — Reversal & Continuation (1m to 10m)
This indicator detects short-term futures scalping setups on BTC & ETH using two mechanical price-action models designed for fast execution:
A) Reversal Compression (counter-move entry)
Identifies a sharp impulse (overextension) followed by absorption / failure to extend on the next candle.
Objective: capture the first corrective pullback after exhaustion.
B) Controlled Continuation (momentum follow-through)
Identifies 3 consecutive trend candles, then a shallow pullback, and triggers an entry on the resumption of the main leg.
Built-in trade logic (dynamic TP structure)
TP1 → scale out 50% of the position at a fixed percentage (auto-scaled per timeframe)
Stop moved to Break-Even after TP1
Final exit on either:
• a meaningful opposite candle (≥ X% correction of prior body), or
• a timeout (max bars in trade)
Technical characteristics
Designed for 1m / 3m / 5m / 7m / 10m
No repainting (bar-close confirmed logic)
Works for both LONG & SHORT
Built-in alert events:
ENTRY_LONG / ENTRY_SHORT / TP1 / EXIT_STOP / EXIT_INVERSE / EXIT_TIMEOUT
Suitable for manual execution, semi-automation (alerts) or full bot integration (webhook JSON)
Purpose
Provide a repeatable, rule-based, non-subjective framework to harvest micro-moves with controlled risk, without relying on lagging indicators or long-term prediction.
(A Strategy / backtesting version is planned as a next iteration.)
Trade Price - Spread Compensator OverlayDescription:
This indicator provides a clear visual representation of the bid/ask price spread. It allows traders to account for the difference between displayed chart prices and actual trading prices by offsetting candles by a specified number of pips.
Simply input the appropriate decimal unit that matches your instrument’s price format, then set the number of pips you wish to offset to reflect your typical spread.
For best results, use the Style settings to match the overlay candle colors with your chart’s default candles—this creates a seamless, integrated appearance.
The sell-stop drawings depicted in the chart example are there to help understand how to use this for managing your entry/stop loss position. It is not a part of the indicator, only the orange candle overlay is.
ICT Liquidity Sweep Asia/London 1 Trade per High & Low🧠 ICT Liquidity Sweep Asia/London — 1 Trade per High & Low
This strategy is inspired by the ICT (Inner Circle Trader) concepts of liquidity sweeps and market structure, focusing on the Asia and London sessions.
It automatically identifies liquidity grabs (sweeps) above or below key session highs/lows and enters trades with a fixed risk/reward ratio (RR).
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⚙️ Core Logic
-Asia Session: 8:00 PM – 11:59 PM (New York time)
-London Session: 2:00 AM – 5:00 AM (New York time)
-The script marks the Asia High/Low and London High/Low ranges for each day.
-When the market sweeps above a session high → potential Short setup
-When the market sweeps below a session low → potential Long setup
-A trade is triggered when the confirmation candle closes in the opposite direction of the sweep (bearish after a high sweep, bullish after a low sweep).
-Only one trade per sweep type (1 per High, 1 per Low) is allowed per session.
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📈 Risk Management
-Configurable Risk/Reward Target (default = 2:1)
-Configurable Position Size (number of contracts)
-Each trade uses a fixed Stop Loss (beyond the wick of the sweep) and a Take Profit calculated from the RR setting.
-All trades are automatically logged in the Strategy Tester with performance metrics.
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💡 Features
✅ Visual session highlighting (Asia = Aqua, London = Orange)
✅ Automatic liquidity line plotting (session highs/lows)
✅ Entry & exit labels (optional visual display)
✅ Customizable RR and contract size
✅ Works on any instrument (ideal for indices, futures, or forex)
✅ Compatible with all timeframes (optimized for 1M–15M)
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⚠️ Notes
-Best used on New York time-based charts.
-Designed for educational and backtesting purposes — not financial advice.
-Use as a foundation for further optimization (e.g., SMT confirmation, FVG filter, or time-based restrictions).
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🧩 Recommended Use
Pair this with:
-ICT’s concepts like CISD (Change in State of Delivery) and FVGs (Fair Value Gaps)
-Higher timeframe liquidity maps
-Session bias or daily narrative filters
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Author: jygirouard
Strategy Version: 1.3
Type: ICT Liquidity Sweep Automation
Timezone: America/New_York
FVG and OB🧠 Concept Behind the “FVG and OB” Indicator
This indicator merges two core ICT (Inner Circle Trader) concepts — Fair Value Gaps (FVGs) and Order Blocks (OBs) — into one clean, dynamic visualization tool.
It is designed for professional price-action traders who want to track institutional imbalances and smart money footprints directly on the chart.
🟩 FAIR VALUE GAP (FVG)
An FVG represents an imbalance in price caused by aggressive buying or selling where the market fails to offer two-way liquidity.
It’s typically created when a strong candle leaves a visible “gap” between the previous candle’s high and the next candle’s low (for bullish FVG), or vice versa (for bearish FVG).
In this indicator:
🟢 Bullish FVGs are drawn when low > high
🔴 Bearish FVGs are drawn when high < low
Each gap box dynamically extends to the right until it is mitigated (partially or fully filled).
You can choose between two mitigation modes:
Boundary Touch (default): The FVG is considered mitigated once price touches the gap boundary.
Full Fill: The FVG remains active until the entire gap range is filled.
This gives you real-time awareness of whether liquidity has been rebalanced — a key ICT concept in identifying market turning points.
🟥 ORDER BLOCK (OB)
An Order Block represents the last opposing candle before a strong impulsive move.
It is where institutional traders likely executed large block orders, creating supply or demand zones that price often revisits.
In this script, an OB is automatically drawn:
🟥 Bearish OBs form after a strong down move (usually following a bearish FVG).
🟩 Bullish OBs form after a strong up move (usually following a bullish FVG).
Key features:
The indicator can detect OBs in two ways:
Only FVG’s First Candle: A stricter mode aligning OB formation directly with FVG events.
Classic (Last Opposite Color): A more traditional ICT-style detection that finds the last candle of the opposite color within a defined lookback range.
OBs auto-expand with the next candle’s wick, so any extra high/low beyond the original OB is included by default.
Each OB remains extended until mitigated — when price revisits and closes the imbalance.
⚙️ CONTROL & CUSTOMIZATION
You can control the entire behavior and visualization through the settings panel:
Display Mode: Show only FVGs, only OBs, or both simultaneously.
Mitigation Mode: Choose how strict the FVG closure logic should be.
Body-Only Option: Restrict OB calculation to candle bodies instead of wicks for cleaner structure.
Individual Color Settings: Customize border and fill colors for each block type.
Lookback Depth: Define how far back the system searches for valid OB structures.
The result is a clean, layered representation of institutional footprints — with automatic cleanup logic that prevents chart clutter and keeps only active zones visible.
📊 PRACTICAL APPLICATION
Use this indicator to:
Identify imbalances left by aggressive moves (potential retracement targets).
Confirm confluences between FVGs and OBs — the overlap areas often mark powerful reaction zones.
Track mitigation progress as price revisits those zones.
Refine entry timing when price reacts to unmitigated OBs or fills the last untested FVG.
🧩 TECHNICAL DESIGN
Built in Pine Script v5 with fully modular code architecture.
FVG and OB modules can be toggled or used independently.
Uses arrays for efficient management of multiple boxes.
Auto-updates in real-time and mitigates per-bar to minimize lag.
Designed for multi-timeframe backtesting compatibility.
💡 Summary
This tool visually bridges two of the most powerful Smart Money Concepts —
FVG = imbalance zones and OB = institutional origin blocks.
Together, they help traders map out liquidity flows, identify premium/discount zones, and anticipate where price is likely to react next.
🧑💻 Credits
Based on ICT & Smart Money Concepts, rewritten in modular PineScript with precision mitigation logic.
# For educational and analytical purposes only.
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
Dual ATR Trailing Stop with Buy/Sell SignalsThis indicator applies two ATR-based trailing stops (Fast and Slow) together with a four-state market classifier to visualize trend strength and place crossover Buy/Sell markers. It is a trend-following tool and does not predict future prices. Use it alongside independent analysis and risk management.
How it works
The Fast trail uses ATR with period 5 and multiplier 0.5 by default. The Slow trail uses ATR with period 10 and multiplier 3.0 by default. When price remains above the prior trail, the new trail equals the maximum of the previous trail and close minus the stop-loss distance derived from ATR. When price remains below the prior trail, the new trail equals the minimum of the previous trail and close plus that distance. On a side switch the trail is re-anchored from the current bar. The Fast trail reacts more quickly, while the Slow trail aims to confirm direction and filter noise.
Signals
Buy is when the Fast trail crosses above the Slow trail. Sell is when the Fast trail crosses below the Slow trail. These crossovers are continuation cues rather than standalone trade advice.
Four-state coloring
Strong Bull occurs when Fast is above Slow, the close is above Slow, and the low is above Slow. Bull with Pullback occurs when Fast is above Slow and the close is above Slow, but the low dips below Slow. Strong Bear occurs when Slow is above Fast, the close is below Slow, and the high is below Slow. Bear with Bounce occurs when Slow is above Fast and the close is below Slow, but the high pierces above Slow.
Directional bias
Bias is inferred by comparing which of Strong Bull or Strong Bear occurred more recently using a barsSince comparison. The most recent state defines the current bias and can help filter frequent flips in ranges.
Inputs
You can adjust Fast ATR period from 1 to 50 and its multiplier from 0.1 to 5.0. You can adjust Slow ATR period from 1 to 50 and its multiplier from 0.1 to 10.0. Optional toggles control candle coloring, trail visibility, fill between trails, alerts, and the information panel.
On-chart outputs
The indicator plots the Fast trail and the Slow trail, with optional fill between them. It can show Buy and Sell markers at crossovers. The optional information panel can display last signal side, entry price, current price, P&L since last signal, current market state, Fast and Slow ATR values, and inferred bias.
Alerts
Available alerts are Fast crossing above Slow, Fast crossing below Slow, entering Strong Bull, and entering Strong Bear.
Usage guidelines
For trend following, many users wait for a Buy crossover together with Strong Bull coloring and then manage risk against the Slow trail. For scalping, consider lower timeframes and a smaller Fast ATR such as period 3 and multiplier 0.3, while avoiding over-optimization. When publishing screenshots, use a clean chart with the symbol, timeframe, and the indicator’s name visible.
Limitations and realism
The tool works best in directional markets; ranging conditions may cause frequent side switches. It is designed for standard OHLC charts only and is not intended for Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts. No claims are made about accuracy, profits, or future performance. Always use position sizing, stop-losses, and additional confirmation.
Compatibility and version
Pine Script v6. Default inputs in the publication match the values described above. Version 1.0 initial public release.
Notes
For questions and feedback, please use the comments section on the script page.
Wick Bias - by TenAMTraderWick Bias - by TenAMTrader
Wick Bias helps traders quickly visualize market pressure by analyzing candle wicks and bodies over a user-defined number of bars. By comparing top and bottom wicks, the indicator identifies whether buying or selling pressure has been dominant, providing a clear Indicator Bias signal (Bullish, Bearish, or Neutral).
Key Features:
Shows Top Wicks %, Bottom Wicks %, and optional Body % for recent candles.
Highlights Indicator Bias to indicate short-term market trends.
Fully customizable colors for table rows and bias labels.
Option to show or hide body percentage.
Alerts trigger on bias flips, with optional on-chart labels.
Table can be placed in any chart corner.
Updates in real-time with each new bar.
Recommended Use:
Ideal for intraday and swing traders looking for a quick visual cue of short-term market momentum.
Can be combined with other technical analysis tools to confirm trade setups or potential reversals.
Disclaimer / Legal Notice:
This indicator is for educational and informational purposes only. It is not financial advice and should not be used as the sole basis for trading decisions. Past performance does not guarantee future results. Users are responsible for their own trades. The developer is not liable for any losses or damages resulting from the use of this indicator.
Realtime RenkoI've been working on real-time renko for a while as a coding challenge. The interesting problem here is building renko bricks that form based on incoming tick data rather than waiting for bar closes. Every tick that comes through gets processed immediately, and when price moves enough to complete a brick, that brick closes and a new one opens right then. It's just neat because you can run it and it updates as you'd expect with renko, forming bricks based purely on price movement happening in real time rather than waiting for arbitrary time intervals to pass.
The three brick sizing methods give you flexibility in how you define "enough movement" to form a new brick. Traditional renko uses a fixed price range, so if you set it to 10 ticks, every brick represents exactly 10 ticks of movement. This works well for instruments with stable tick sizes and predictable volatility. ATR-based sizing calculates the average true range once at startup using a weighted average across all historical bars, then divides that by your brick value input. If you want bricks that are one full ATR in size, you'd use a brick value of 1. If you want half-ATR bricks, use 2. This inverted relationship exists because the calculation is ATR divided by your input, which lets you work with multiples and fractions intuitively. Percentage-based sizing makes each brick a fixed percentage move from the previous brick's close, which automatically scales with price level and works well for instruments that move proportionally rather than in absolute tick increments.
The best part about this implementation is how it uses varip for state management. When you first load the indicator, there's no history at all. Everything starts fresh from the moment you add it to your chart because varip variables only exist in real-time. This means you're watching actual renko bricks form from real tick data as it arrives. The indicator builds its own internal history as it runs, storing up to 250 completed bricks in memory, but that history only exists for the current session. Refresh the page or reload the indicator and it starts over from scratch.
The visual implementation uses boxes for brick bodies and lines for wicks, drawn at offset bar indices to create the appearance of a continuous renko chart in the indicator pane. Each brick occupies two bar index positions horizontally, which spaces them out and makes the chart readable. The current brick updates in real time as new ticks arrive, with its high, low, and close values adjusting continuously until it reaches the threshold to close and become finalized. Once a brick closes, it gets pushed into the history array and a new brick opens at the closing level of the previous one.
What makes this especially useful for debugging and analysis are the hover tooltips on each brick. Clicking on any brick brings up information showing when it opened with millisecond precision, how long it took to form from open to close, its internal bar index within the renko sequence, and the brick size being used. That time delta measurement is particularly valuable because it reveals the pace of price movement. A brick that forms in five seconds indicates very different market conditions than one that takes three minutes, even though both bricks represent the same amount of price movement. You can spot acceleration and deceleration in trend development by watching how quickly consecutive bricks form.
The pine logs that generate when bricks close serve as breadcrumbs back to the main chart. Every time a brick finalizes, the indicator writes a log entry with the same information shown in the tooltip. You can click that log entry and TradingView jumps your main chart to the exact timestamp when that brick closed. This lets you correlate renko brick formation with what was happening on the time-based chart, which is critical for understanding context. A brick that closed during a major news announcement or at a key support level tells a different story than one that closed during quiet drift, and the logs make it trivial to investigate those situations.
The internal bar indexing system maintains a separate count from the chart's bar_index, giving each renko brick its own sequential number starting from when the indicator begins running. This makes it easy to reference specific bricks in your analysis or when discussing patterns with others. The internal index increments only when a brick closes, so it's a pure measure of how many bricks have formed regardless of how much chart time has passed. You can match these indices between the visual bricks and the log entries, which helps when you're trying to track down the details of a specific brick that caught your attention.
Brick overshoot handling ensures that when price blows through the threshold level instead of just barely touching it, the brick closes at the threshold and the excess movement carries over to the next brick. This prevents gaps in the renko sequence and maintains the integrity of the brick sizing. If price shoots up through your bullish threshold and keeps going, the current brick closes at exactly the threshold level and the new brick opens there with the overshoot already baked into its initial high. Without this logic, you'd get renko bricks with irregular sizes whenever price moved aggressively, which would undermine the whole point of using fixed-range bricks.
The timezone setting lets you adjust timestamps to your local time or whatever reference you prefer, which matters when you're analyzing logs or comparing brick formation times across different sessions. The time delta formatter converts raw milliseconds into human-readable strings showing days, hours, minutes, and seconds with fractional precision. This makes it immediately clear whether a brick took 12.3 seconds or 2 minutes and 15 seconds to form, without having to parse millisecond values mentally.
This is the script version that will eventually be integrated into my real-time candles library. The library version had an issue with tooltips not displaying correctly, which this implementation fixes by using a different approach to label creation and positioning. Running it as a standalone indicator also gives you more control over the visual settings and makes it easier to experiment with different brick sizing methods without affecting other tools that might be using the library version.
What this really demonstrates is that real-time indicators in Pine Script require thinking about state management and tick processing differently than historical indicators. Most indicator code assumes bars are immutable once closed, so you can reference `close ` and know that value will never change. Real-time renko throws that assumption out because the current brick is constantly mutating with every tick until it closes. Using varip for state variables and carefully tracking what belongs to finalized bricks versus the developing brick makes it possible to maintain consistency while still updating smoothly in real-time. The fact that there's no historical reconstruction and everything starts fresh when you load it is actually a feature, not a limitation, because you're seeing genuine real-time brick formation rather than some approximation of what might have happened in the past.
M2025Overview
We Provide you a custom made model called M2025
M2025 works based on some well-known fundamentals of trading, here are the filters/checks we used in this script:
MTF Support/Resistance (Based on RSI)
Liquidity Levels
Displacement/FVG
Support/Resistance (Based on RSI)
support and resistance are key concepts used to identify potential turning points in the market.
Support is a price level where demand is strong enough to prevent the price from falling further — it acts as a “floor.”
Resistance is a level where selling pressure tends to stop the price from rising — it acts as a “ceiling.”
Support and resistance help traders identify entry points, exit targets, and stop-loss areas, and are essential tools for understanding market structure and trend strength.
In M2025 , Support and Resistance are identified based on pivot high and pivot low found with RSI values.
Liquidity Levels
liquidity levels are price areas where a large number of buy or sell orders are clustered. These zones often form around swing highs, swing lows, support, and resistance levels, where many traders place stop-loss or pending orders.
Fair Value Gap
an FVG (Fair Value Gap) refers to an imbalance or “gap” in price action that occurs when the market moves too quickly in one direction, leaving little to no trading activity between certain price levels. This gap represents an area where buy and sell orders were not efficiently matched, creating an inefficiency in the market.
Traders often expect price to return to these zones later to “fill” the gap, restoring balance and are used to identify potential retracement zones.
How it works
This Model 2025 mainly works in 4 steps using all the techniques mentioned above.
Bullish Setup
Step 1 : Market is in Bullish Zone
Step 2 : Market Breaks the Buy Side Liquidity
Step 3 : Market Makes FVG while moving up before breaking the SSL
Step 4 : Market Breaks the Sell Side Liquidity within the Window Range
Bearish Setup
Step 1 : Market is in Bearish Zone
Step 2 : Market Breaks the Sell Side Liquidity
Step 3 : Market Makes FVG while moving down before breaking the BSL
Step 4 : Market Breaks the Buy Side Liquidity within the Window Range
Conclusion
M2025 works using well known trading techniques but the innovation in that is using them as steps and triggers which stimulate the real trading methods of many trades around the world. This is just an idea which we wanted to share with this great community of ours, thus this indicator is a tool for technical analysis and it should not be the sole basis for trading decisions for anyone out there. No indicator is perfect hence depending on one is not recommended.
AUTOMATIC ANALYSIS MODULE🧭 Overview
“Automatic Analysis Module” is a professional, multi-indicator system that interprets market conditions in real time using TSI, RSI, and ATR metrics.
It automatically detects trend reversals, volatility compressions, and momentum exhaustion, helping traders identify high-probability setups without manual analysis.
⚙️ Core Logic
The script continuously evaluates:
TSI (True Strength Index) → trend direction, strength, and early reversal zones.
RSI (Relative Strength Index) → momentum extremes and technical divergences.
ATR (Average True Range) → volatility expansion or compression phases.
Multi-timeframe ATR comparison → detects whether the weekly structure supports or contradicts the local move.
The system combines these signals to produce an automatic interpretation displayed directly on the chart.
📊 Interpretation Table
At every new bar close, the indicator updates a compact dashboard (bottom right corner) showing:
🔵 Main interpretation → trend, reversal, exhaustion, or trap scenario.
🟢 Micro ATR context → volatility check and flow analysis (stable / expanding / contracting).
Each condition is expressed in plain English for quick decision-making — ideal for professional traders who manage multiple charts.
📈 How to Use
1️⃣ Load the indicator on your preferred asset and timeframe (recommended: Daily or 4H).
2️⃣ Watch the blue line message for the main trend interpretation.
3️⃣ Use the green line message as a volatility gauge before entering.
4️⃣ Confirm entries with your own strategy or price structure.
Typical examples:
“Possible bullish reversal” → early accumulation signal.
“Compression phase → wait for breakout” → avoid premature trades.
“Confirmed uptrend” → trend continuation zone.
⚡ Key Features
Real-time auto-interpretation of TSI/RSI/ATR signals.
Detects both bull/bear traps and trend exhaustion zones.
Highlights volatility transitions before breakouts occur.
Works across all assets and timeframes.
No repainting — stable on historical data.
✅ Ideal For
Swing traders, position traders, and institutional analysts who want automated context recognition instead of manual indicator reading.
Torus Trend Bands — Windowed HammingTorus Trend Bands — Windowed Hamming
This TradingView indicator creates dynamic support and resistance bands on your chart. It uses the mathematical model of a torus (a donut shape) to generate cyclical and responsive channel boundaries. The bands are further refined with an advanced smoothing method called a Hamming window to reduce noise and provide a clearer signal.
How It Works
The Torus Model: The indicator maps price action onto a geometric torus shape. This is defined by two key parameters:
Major Radius (a): The distance from the center of the torus to the center of the tube. This controls the overall size and primary cycle.
Minor Radius (b): The radius of the tube itself. This controls the secondary, faster "breathing" motion of the bands.
Dual-Phase Engine: The behavior of the bands is driven by two different cyclical inputs, or "phases":
Major Rotation (φ): A slow, time-based cycle (φ period) that governs the long-term oscillation of the bands.
Minor Rotation (q): A fast, momentum-based cycle derived from the Relative Strength Index (RSI). This makes the bands react quickly to price momentum, expanding and contracting as the market becomes overbought or oversold.
Standard Technical Core : The torus model is anchored to the price chart using standard indicators:
Midline : A central moving average that acts as the baseline for the channel. You can choose from EMA, SMA, HMA, or VWAP.
Width Source: A volatility measure that determines the fundamental width of the bands. You can choose between the Average True Range (ATR) or Standard Deviation.
Hamming Window Smoothing: This is a sophisticated weighted averaging technique (a Finite Impulse Response filter) used in digital signal processing. It provides exceptionally smooth results with less lag than traditional moving averages. You can apply this smoothing to the RSI, the midline, and the width source independently to filter out market noise.
How to Interpret and Use the Indicator
Dynamic Support & Resistance: The primary use is to identify potential reversal or continuation points. The upper band acts as dynamic resistance, and the lower band acts as dynamic support.
Trend Identification: The color of the bands helps you quickly see the current trend. Teal bands indicate an uptrend (the midline is rising), while red bands indicate a downtrend (the midline is falling).
Volatility Gauge: When the bands widen, it signals an increase in market volatility. When they contract, it suggests volatility is decreasing.
Alerts: The indicator includes built-in alerts that can notify you when the price touches or breaks through the upper or lower bands, helping you stay on top of key price action.
Key Settings
Torus Parameters : Adjust Major radius a and Minor radius b to change the shape and cyclical behavior of the bands.
Phase Controls:
φ period: Controls the length of the main, slow cycle in bars.
RSI length → q: Sets the lookback for the RSI that drives the momentum-based cycle.
Midline & Width: Choose the type and length for the central moving average and the volatility source (ATR/StDev) that best fits your trading style.
Width & Bias Shaping:
Min/Max width ×: Control how much the bands expand and contract.
Bias ×: Shifts the entire channel up or down based on RSI momentum, helping the bands better capture strong trends.
Hamming Controls: Enable or disable the advanced smoothing on different parts of the indicator and set the Hamming length (a longer length results in more smoothing).
This indicator provides a unique and highly customizable way to visualize market cycles, volatility, and trend, combining geometry with proven technical analysis tools.
Previous Day Volume Profile NQ!This indicator takes the previous U.S. regular trading session and maps its most actively traded price zone onto the next day. It draws a shaded box representing the Value Area (≈68% of prior-day volume), bounded by VAH (Value Area High) and VAL (Value Area Low). A line through the middle marks the POC (Point of Control), the single price with the most traded volume. The box projects 15.5 hours into the new day so you can see where today’s action sits relative to yesterday’s “fair value.”
To help with intraday decisions, the indicator also extends VAH/VAL/POC as dotted lines. These extensions act like “guide rails” for context into the next trading session.
How to read it
Inside the box: Market is back in yesterday’s fair value. Expect mean-reversion behavior, with price often rotating between VAL and VAH.
Re-entry signals: When price comes from outside and establishes back inside, the script can flag a Long Re-entry (from below, bias toward VAH) or Short Re-entry (from above, bias toward VAL). Optional target lines show the opposite edge as a practical objective.
Rejection signals: When price tests a boundary (VAH/VAL) and fails to establish inside, it can reject and push away—often a clue for potential price discovery beyond the box.
POC focus: The POC often behaves like a magnet during balance and a pivot during imbalance; the dotted extension keeps it visible even after the box window.
Use case
Ideal for day traders and short-term swing traders who want a clear, repeatable framework.
Quickly judge whether today is balancing (staying within yesterday’s value) or seeking new value (rejecting and exploring).
Pair the signals with your execution rules (e.g., 5-minute closes, buffers, or confirmation candles).
Everything is configurable—colors, opacities, and whether to show extensions or target lines—so you can tailor the visuals to your style without clutter.
My setup [Pro] (fadi)My Setup is a powerful TradingView indicator that visualizes your trading strategy, helping you find high-probability setups with precision and discipline. It combines Higher Timeframe (HTF) context with Lower Timeframe (LTF) entries on a single chart, streamlining your trading process.
What It Does
Tracks your chosen timeframe and its paired higher timeframe for custom trade setups, so you don’t have to stay glued to the screen.
Plots clear Entry, Stop Loss, and Take Profit levels when your conditions align.
Customizes to your strategy with HTF triggers (e.g., sweeps, liquidity grabs) and LTF entries (e.g., Order Blocks, FVGs, Breakers).
Ensures discipline by only showing setups that meet all your rules, eliminating emotional trading and FOMO.
Backtest your edge by visualizing past setups to refine entries, stops, and confluences.
How It Works
Set Your HTF Trigger: Choose a market event like a sweep of a high/low, pivot point, or liquidity grab on the paired higher timeframe (e.g., 1H for a 5m chart).
Define Your LTF Entry: Select your entry model from a range of institutional concepts, such as Order Block, Fair Value Gap (FVG), Inverted FVG (iFVG), Breaker Block, Unicorn Model, and more, on the chart’s timeframe.
Add Confluence Filters: Stack conditions like requiring an FVG + Breaker for higher-probability setups.
See It on Your Chart: When a setup forms, it’s instantly plotted with Entry, Stop Loss, and Take Profit levels based on your Risk-to-Reward ratio.
Key Features
Multi-Timeframe Sync: Pair your chart’s timeframe (e.g., 5m) with a higher timeframe (e.g., 1H) for seamless analysis.
Institutional Tools: Supports a comprehensive suite of ICT concepts, including Order Blocks, FVGs, iFVGs, Breakers, Unicorn Model, and additional entry models.
Custom Risk Management: Set your Stop Loss and Take Profit levels with fixed R:R or measured moves using large range of entry and stop levels.
Session Filtering: Limit setups to specific trading sessions (e.g., London, New York) with timezone support.
Visual Clarity: Displays HTF candles and key levels on your chart for context, with customizable colors and styles.
Alerts: Get notified the moment a valid setup appears, even on live candles.
Who It’s For
Traders who want to systematize their ICT-based strategy on a single chart.
Those seeking to trade with discipline and avoid impulsive decisions.
Anyone looking to backtest and optimize their setups with clear, visual feedback.
Busy traders who need a tool to track their chart while they focus on life.
Why Choose My Setup ?
Save Time: Let the indicator track your chart and its paired timeframe.
Trade Confidently: Only take A+ setups that match your exact rules.
Learn and Improve: Analyze historical setups to refine your strategy.
Disclaimer of Warranties and Limitation of Liability for [My Setup ]
Please read this disclaimer carefully before using the [My Setup ] indicator (hereafter referred to as "the Software").
1. No Financial Advice
The Software is provided for educational and informational purposes only. The data, calculations, and signals generated by the Software are not, and should not be interpreted as, financial advice, investment advice, trading advice, or a recommendation or solicitation to buy, sell, or hold any security or financial instrument.
2. Assumption of Risk You acknowledge that trading and investing are inherently risky activities that carry a high potential for significant financial loss. All actions you take in the market, including but not limited to trade execution and risk management, are your sole responsibility. You agree to use the Software at your own sole risk. The creator shall not be held responsible or liable for any financial losses or damages you may incur as a result of using the Software.
3. No Warranty; "AS IS" Provision
The Software is provided "AS IS" and "AS AVAILABLE", without any warranties of any kind, either express or implied. The creator disclaims all warranties, including, but not limited to, implied warranties of merchantability, fitness for a particular purpose, accuracy, timeliness, completeness, and non-infringement.
The creator does not warrant that the Software will be error-free, uninterrupted, secure, or free of bugs, viruses, or other harmful components. You acknowledge that software is never wholly free from defects, and you are responsible for implementing your own procedures for data accuracy and security.
4. Limitation of Liability
TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, IN NO EVENT SHALL THE CREATOR, FADI ZEIDAN, BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM, OUT OF, OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
This limitation of liability applies to any and all damages, including but not limited to:
Direct, indirect, incidental, special, consequential, or exemplary damages.
Loss of profits, revenue, data, or use.
Financial losses resulting from trading decisions made based on the Software.
Damages arising from software defects, interruptions, or inaccuracies.
5. Indemnification
You agree to indemnify, defend, and hold harmless the creator, Fadi Zeidan, from and against any and all claims, liabilities, damages, losses, or expenses, including reasonable attorneys' fees and costs, arising out of or in any way connected with your access to or use of the Software.
6. Acknowledgment and Agreement
By accessing, installing, or using the [My Setup ] indicator, you acknowledge that you have read, understood, and agree to be bound by the terms of this disclaimer. If you do not agree with these terms, you must not use the Software.
SP2L RavaAcademy (poursamadi)Rava Academy - SP2L Strategy Assistant
This indicator is an assistive tool designed by Rava Academy to implement the SP2L trading strategy, which is a price action concept focused on identifying market exhaustion and potential reversals.
Core Concept:
The underlying logic of this script is to detect a specific price action pattern known as the "Spike and Two-Legged Pullback". The indicator identifies an initial strong price movement (the Spike) followed by a corrective phase with two distinct legs. The signals are generated near the completion of the second leg, which often represents a high-probability entry point as the initial momentum is expected to resume. This mechanical approach helps traders identify these complex patterns systematically.
Key Features:
Automatic Pattern Detection: The indicator automatically scans the chart for SP2L patterns.
Clear Visual Signals: It provides straightforward arrows to indicate potential setups.
Time-Saving Analysis: This tool minimizes the need for manual pattern identification.
Multi-Market Compatibility: Optimized for Forex and Cryptocurrencies.
How to Use:
Green Arrow (▲): Indicates a potential buy setup.
Red Arrow (▼): Indicates a potential sell setup.
Disclaimer:
This tool is for educational and analytical purposes only. Trading involves significant risk. All trading decisions are the sole responsibility of the user. Past performance is not indicative of future results.
4h 相对超跌筛选器 · Webhook v2.0## 指标用途
用于你的「框架第2步」：在**美股 RTH**里，按**4h 收盘**（06:30–10:30 PT 为首根）筛出相对大盘/行业**显著超跌**且结构健康的候选标的，并可**通过 Webhook 自动推送**`symbol + ts`给下游 AI 执行新闻甄别（第3步）与进出场评估（第4步）。
## 工作原理（核心逻辑）
* **结构健康**：最近 80 根 4h 中，收盘 > 4h_SMA50 的占比 ≥ 阈值（默认 55%）。
* **跌深条件**：4h 跌幅 ≤ −4%，且近两根累计（≈8h）≤ −6%。
* **相对劣化**：相对大盘（SPY/QQQ）与相对行业（XLK/XLF/… 或 KWEB/CQQQ）各 ≤ −3%。
* **流动性与价格**：ADV20_USD ≥ 2000 万；价格 ≥ 3 美元。
* **只在 4h 收盘刻评估与触发**，历史点位全部保留，便于回放核验。
* **冷却**：同一标的信号间隔 ≥ N 天（默认 10）。
## 主要输入参数
* **bench / sector**：大盘与行业基准（例：SPY/QQQ，XLK/XLF/XLY；中概用 KWEB/CQQQ）。
* **advMinUSD / priceMin**：20 日美元成交额下限、最小价格。
* **pctAboveTh**：结构健康阈值（%）。
* **drop4hTh / drop8hTh**：4h/8h 跌幅阈值（%）。
* **relMktTh / relSecTh**：相对大盘/行业阈值（%）。
* **coolDays**：冷却天数。
* **fromDate**：仅显示此日期后的历史信号（图表拥挤时可用）。
* **showTable / tableRows**：是否显示右上角“最近信号表”及行数。
## 图表信号
* **S2 绿点**：当根 4h 收盘满足全部筛选条件。
* **右上角表格**：滚动列出最近 N 条命中（`SYMBOL @ yyyy-MM-dd HH:mm`，按图表本地时区）。
## Webhook 联动（生产用）
1. 添加指标 → 🔔 新建警报（Alert）：
* **Condition**：`Any alert() function call`
* **Options**：`Once per bar close`
* **Webhook URL**：填你的接收地址（可带 `?token=...`）
* **Message**：留空（脚本内部 `alert(payload)` 会发送 JSON）。
2. 典型 JSON 载荷（举例）：
```json
{
"event": "step2_signal",
"symbol": "LULU",
"symbol_id": "NASDAQ:LULU",
"venue": "NASDAQ",
"bench": "SPY",
"sector": "XLY",
"ts_bar_close_ms": 1754524200000,
"ts_bar_close_local": "2025-06-06 10:30",
"price_close": 318.42,
"ret_4h_pct": -5.30,
"ret_8h_pct": -7.45,
"rel_mkt_pct": -4.90,
"rel_sec_pct": -3.80
}
```
> 建议以 `symbol + ts_bar_close_ms` 做去重键；接收端先快速 `200 OK`，后续异步处理并交给第3步 AI。
## 使用建议
* **时间框架**：任意周期可用，指标内部统一拉取 240 分钟数据并仅在 4h 收盘刻触发。
* **行业映射**：尽量选与个股业务最贴近的 ETF；中国 ADR 可用 `PGJ/KWEB/CQQQ` 叠加细分行业对照。
* **回放验证**：Bar Replay **不发送真实 Webhook**；仅用于查看历史命中与表格。测试接收端请用 Alert 面板的 **Test**。
## 适配说明
* Pine Script **v5**。
* 不含成分筛查逻辑（请在你的 500–600 只候选池内使用）。
* 数字常量不使用下划线分隔；如需大数可用 `20000000` 或 `2e7`。
## 常见问题
* ⛔️ 报错 `tostring(...)`：Pine 无时间格式化重载，脚本已内置 `timeToStr()`。
* ⛔️ `syminfo.exchange` 不存在：已改用 `syminfo.prefix`（交易所前缀）。
* ⛔️ 多行字符串拼接报 `line continuation`：本脚本已用括号包裹或 `str.format` 规避。
## 免责声明
该指标仅供筛选与研究使用，不构成投资建议。请结合你的第3步新闻/基本面甄别与第4步执行规则共同决策。
Advanced Swing Points Liquidity by BTTAdvanced Swing Points Liquidity Indicator by BTT
Identify key price reversals and liquidity zones with precision using the Advanced Swing Points Liquidity indicator. This tool automatically detects swing highs (Buy Side Liquidity) and swing lows (Sell Side Liquidity) based on customizable pivot logic, and visualizes these levels on your chart for enhanced trading decisions.
Core Features:
Swing Logic Choice: Instantly switch between classic 3-point (tight pivots) and broader 5-point (stronger swings) swing detection.
Visual Clarity: Each swing point is highlighted with your choice of colored labels and extended horizontal lines.
Custom Line Length: Define how far each liquidity line extends, making it easy to spot critical reversal and breakout zones across the chart.
Liquidity Zones: (Optional) Shaded boxes overlay the chart at swing highs/lows, helping you visualize supply and demand areas and optimize entries/exits.
Distinctive Labels: BSL (Buy Side Liquidity) at swing highs, SSL (Sell Side Liquidity) at swing lows, making institutional liquidity levels immediately visible.
How to Use:
Use swing labels and lines to spot potential price reaction zones, stop hunt areas, and trend reversals.
Combine with your price action, order blocks, or other SMC tools for confirmation and trade planning.
Adjust parameters for any market (indices, stocks, crypto, commodities), any timeframe.
Perfect For:
Smart money traders locating liquidity grabs and stop hunts
Supply & demand, market structure, and swing traders
Anyone wanting automated mapping and visual clarity for swing pivots and institutional levels
Customization:
Choose swing detection style (pivot window)
Toggle lines, labels, and liquidity boxes on/off
Set color, box height, and line length for maximum visual control
Pin Bar EMA34 - Full (Labels High/Low + Custom)update label close price and coditional of signal pin bar.
Trend Profit Tracking——JackFinanceTrend Profit Tracking Indicator Usage Guide1. Chart Interpretation and UsageSignals: Green "Buy" (below bar) for long entry; red "Sell" (above bar) for short entry or close long. Based on ATR stop reversal.
Trend Line: Green = bullish (support); red = bearish (resistance); gray = neutral.
Background: Light green/red = trend environment.
Filter Band: Green fill confirms bullish; red confirms bearish. Signals more accurate when price is inside the band.
Volume: Yellow bars = unusual volume spike; combine with signals for reversal hints.
Table (top-right): Bullish; Bearish; Neutral.
2. Trading ApplicationEntry: Signal + matching filter band color (green for long, red for short).
Exit: Reverse signal or price hits trend line/band edge.
Stop-Loss: Use built-in trailing stop; ATR multiplier for position sizing.
Best For: Daily/4H trend charts; avoid choppy markets.
Backtest: Verify in strategy tester (~55-65% win rate with defaults).
3. TipsCombine with RSI for filters.
Trading involves risk; decide at your own discretion.
PDB 4 MA + Candle Strength/Weakness Detector
4MA Strength & Reversal Detector
Unlock the power of momentum with this advanced 4 Moving Average system (20, 50, 100, 200) designed to pinpoint market strength and early reversal zones with precision.
How It Works:
- Bearish Reversal: Triggered when all moving averages align (20 < 50 < 100 < 200) and bearish reversal candles appear — highlighting potential tops.
- Bullish Reversal: Triggered when all moving averages align (200 < 100 < 50 < 20) and bullish reversal candles form — marking potential bottoms
:Best For:
⚡ Scalpers and day traders using 1–5 minute timeframes
📈 Identifying momentum shifts and trend exhaustion early
Tip: Combine this with volume or RSI for stronger confirmation and fewer false signals.
Elite Signals ProV4 OptimizedElite Signals Pro V4 is a sophisticated multi-factor trading indicator that combines price action, momentum, and market structure analysis to generate high-probability trading signals. Unlike traditional indicators that rely on single metrics, Elite Signals uses a weighted confidence scoring system across 7 key market dimensions to provide filtered, quality signals.
🎯 Core Philosophy
The indicator operates on the principle that multiple confirmations lead to higher probability setups. Instead of looking at isolated signals, it evaluates:
Price Action (Wick strength & rejection patterns)
Trend Alignment (Multiple timeframe confirmation)
Market Context (Zones, liquidity, volatility)
Momentum (RSI with slope confirmation)
Entry Rules:
Wait for STRONG confidence signals (>70%) for higher probability
Ensure trend alignment matches signal direction
Check RSI is not extreme unless slope confirms reversal
Verify candle is meaningful rejection pattern
Risk Management:
Stop Loss: Place below recent swing low (BUY) or above swing high (SELL)
Take Profit: 1.5-2x risk ratio, or use trailing stops
Position Size: Scale based on confidence strength
1. Adaptive Confidence Threshold
Automatically adjusts based on market volatility
Stricter in high volatility (fewer but higher quality signals)
More lenient in calm markets (more opportunities)
2. Multi-Timeframe Alignment
15-minute trend alignment ensures you're trading with higher timeframe momentum
Reduces false signals from counter-trend moves
3. Liquidity Sweep Detection
Identifies stop hunts and liquidity grabs
Provides early warning of potential reversals
Graduated confidence (0.5 for touch, 1.0 for full sweep)
4. Zone-Based Trading
Supply/Demand zone detection for key levels
Percentage-based proximity works across all instruments
Combines with rejection candles for high-probability entries
⚠️ Important Notes
Do:
✅ Use on multiple timeframes for confirmation
✅ Combine with price action and market context
✅ Adjust parameters for your trading style
✅ Use proper risk management always
Don't:
❌ Trade every signal - be selective
❌ Ignore higher timeframe context
❌ Over-optimize parameters
❌ Risk more than 1-2% per trade
🚨 Risk Disclaimer
This indicator is a tool for analysis and should not be the sole basis for trading decisions. Always:
Use proper risk management
Test strategies in demo accounts first
Understand that past performance doesn't guarantee future results
Consider multiple confirmation sources before entering trades
