Liquidity Gravity Engine [Pineify]```markdown
Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails
Overview
Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits.
Key Features
Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility.
Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance.
Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept.
Trend Context: displacement is filtered using the ribbon’s smoothed centerline.
How It Works
Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed.
Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline.
Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center.
Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity.
Trading Ideas and Insights
Use the ribbon as context : bias is stronger when price holds one side of the flow centerline.
Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions.
Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves.
Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt.
How Multiple Components Work Together
This indicator is intentionally built as a single liquidity-driven workflow:
Swings define structure.
Structure defines the flow ribbon (trend/volatility context).
The ribbon filters displacement so you see momentum that aligns with flow.
Liquidity rails provide objective target zones derived from the same swing structure.
The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators.
Unique Aspects
Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average.
Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise.
Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable.
How to Use
Start with defaults on a clean chart.
Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow.
Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg.
Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur.
Customization
Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure.
Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals.
Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized.
Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme.
Conclusion
Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
Trading
Gap Tracker Indicator v5Gap Tracker Indicator - Description
Purpose: The Gap Tracker identifies price gaps on charts and visualizes unfilled gap zones that may act as future support/resistance levels.
What it shows:
Gap zones as colored rectangles:
Red boxes = bearish gaps (price gapped down, leaving unfilled space above)
Green boxes = bullish gaps (price gapped up, leaving unfilled space below)
How gaps form:
A gap occurs when the opening price of one candle is significantly different from the closing price of the previous candle
Common after weekends, holidays, or major news events when markets are closed
Gaps create "empty" price zones with no trading activity
Trading significance:
Many traders believe gaps tend to "fill" eventually (price returns to the gap zone)
Unfilled gaps can act as magnetic levels - price often revisits them
Gap zones may provide support (bullish gaps) or resistance (bearish gaps)
On your chart:
Multiple red boxes show unfilled bearish gaps where price gapped down
Green boxes show unfilled bullish gaps where price gapped up
The indicator tracks these zones until price fills them completely
Right side shows "GAP TRACKER" panel with active gaps: Aktywne (2), Zamknięte (9), Zakres 7d (168)
Key insight: The concentration of unfilled gaps suggests potential magnetic zones where price may return for "gap fill" trades. Traders often use these levels for entries, exits, or stop placement.
BOS Pullback + CVD Clustering - Prop Firm EditionBOS Pullback + CVD Clustering
Overview
The BOS Pullback + CVD Clustering system is a professional-grade toolkit designed for high-precision intraday trading. It is specifically built for traders aiming to pass or manage Prop Firm accounts, where risk management and trend alignment are non-negotiable.
This script moves beyond basic price action by integrating Order Flow (CVD Z-Score Clustering), Market Structure (BOS), and Multi-Timeframe Momentum (SMI) into a single, cohesive execution engine.
Core Pillars of the Strategy
1. Market Structure & BOS Logic
The script automatically tracks Market Structure using dynamic pivots.
BOS Detection: When price closes above a recent high (Bullish) or below a recent low (Bearish), it identifies a Break of Structure (BOS).
The Pullback Zone: Signals do not fire on the breakout (chasing). Instead, the script waits for a pullback to the silver BOS Level within an ATR-optimized buffer.
2. CVD Z-Score Clustering (Order Flow)
This is the heart of the engine. It categorizes every bar into one of 9 clusters by comparing Volume and Cumulative Volume Delta (CVD) against their statistical Z-Scores.
Institutional Conviction: Signals are filtered to only allow entries during high-conviction clusters (High/Avg Volume + High Delta).
Absorption Filter: It prevents you from buying a pullback if the CVD shows aggressive selling, even if the price is at a support level.
3. Multi-Timeframe (HTF) SMI Filter & Squeeze Detection
To protect you from "choppy" environments, the script monitors a Higher Timeframe (HTF) Stochastic Momentum Index.
Trend Filter: Longs only fire if the HTF SMI is trending above its signal line.
The Squeeze (Gray Background): When the HTF SMI and its signal line converge (within 5 points), the background turns gray. This indicates a low-volatility "Squeeze" or trend exhaustion—a high-risk environment for breakouts where Prop Firm traders should stay sidelined.
Dual-Layer Momentum HUD
The script features two distinct momentum measurements to ensure both the "Trend" and the "Execution Bar" are powerful.
Internal Acceptance Score (UI Table): Ranging from -4 to +4, this measures Trend Quality (consecutive candle colors and volatility expansion). You can set the threshold (1-4) in the inputs to filter for only the most aggressive trend moves.
Micro-Momentum Gauge (Bottom Left): Ranging from -10 to +10, this tracks Immediate Velocity. It analyzes closing strength and range expansion of the last two candles. A score of ±6 or higher confirms a high-velocity execution bar.
Built-in Prop Firm Risk Management
Supply & Demand Zones: Automatically plots institutional "Premium" (Red) and "Discount" (Green) zones based on the current swing range.
ATR Trailing Stop: A dynamic orange line that follows price to protect capital.
Automated Break-Even: Once price hits a user-defined ATR target, the active stop is moved to the entry price.
Prior Day Levels: Automatic plotting of PDH and PDL for critical daily bias context.
How to Trade with this System
Bias: Check the Trend Dir in the internal table and ensure the background is not gray.
Setup: Wait for price to return to the silver BOS Level.
Trigger: A signal (Triangle) appears when HTF Trend, CVD Order Flow, and Momentum (Acceptance Score) align.
Execution: Confirm the Micro-Momentum Gauge shows high velocity (±6 or more) for the highest probability entries.
Manage: Target the Lime Green TP line while the Orange Trailing Stop protects your drawdown.
Disclaimer
This indicator is a tool to assist in market entry analysis and does not guarantee profits. Always use proper risk management, especially when trading with Prop Firm capital.
Bar-Close Confirmed SupertrendOverview
This indicator is a Supertrend-style trend follower that confirms direction changes only after a bar closes. Trend flips are determined using the previous bar’s close relative to the bands, which helps avoid intrabar changes during live candles.
How it works
Computes ATR (Average True Range)
Builds upper/lower bands using ATR and a multiplier
Updates trend direction only when a prior candle confirms a break of the band
Confirmation logic (bar-close based)
Trend direction is updated using conditions based on the previous candle, such as:
close > upper → confirm uptrend
close < lower → confirm downtrend
Because signals are confirmed on the prior bar, trend changes and markers are displayed only when confirmation exists.
Signals
Uptrend confirmation: prior candle closes above the upper band → bullish marker
Downtrend confirmation: prior candle closes below the lower band → bearish marker
Inputs
ATR Length (default 10)
ATR Multiplier (default 3.0)
Notes
This script is intended for bar-close workflows. Behavior and responsiveness may differ across markets and timeframes depending on volatility and chosen settings.
Axiom Flow: NQ/MNQ Algo - 5 Min TFAxiom Flow: Institutional NQ/MNQ Algo
Axiom Flow is a specialized, institutional-grade trend and momentum system designed specifically for the Nasdaq (NQ/MNQ) on the 5-minute timeframe.
Unlike standard indicators that lag, Axiom Flow combines volatility compression, trend strength, and velocity analysis to filter out "chop" and identify high-probability expansion moves. It is designed to keep you out of the noise and put you in the trade only when the market shows true intent.
🚀 Core Strategy Philosophy
The system operates on a "Compression → Expansion" logic. It identifies when the market is building energy (Squeeze) and executes entries when that energy is released in the direction of the dominant trend, validated by institutional volume and momentum.
⚡ Key Features
1. The "Anti-Chop" Filter Engine Most strategies fail in ranging markets. Axiom Flow utilizes a proprietary "Hug" logic that detects when price action is too tight to trade. If the market is chopping, the signals are hard-blocked to protect capital.
2. Traffic Light Volatility System Visualizes market energy at a glance:
🟢 Green Dots (Safe Squeeze): High-potential energy build-up outside of value.
🔴 Red Dots (Risky Squeeze): Compression occurring inside value (chop zone)—warning to stay away.
⚪ Grey Dots: Normal market conditions.
3. Velocity & Momentum Override Sometimes the market moves too fast for standard trend indicators. The Velocity Engine detects abnormal, high-momentum candles (Institutional buying/selling) to trigger "Home Run" entries even if standard conditions haven't fully aligned yet.
4. Dynamic Risk Management Stop Losses and Take Profits are not static points. The system calculates targets based on the Daily ATR (Average True Range). This means your stops and targets breathe with the market's volatility—tighter in slow markets, wider in fast markets.
Target 1: High-probability "Bank" target.
Target 2: Extended "Runner" target for trend days.
5. Session & Killzone Logic Optimized for the New York Session. The algorithm includes specific filters to highlight the "Kill Zone" (07:00 - 10:00 EST) and automatically closes positions at the end of the session to prevent overnight gaps.
🛡️ How to Use
Timeframe: Optimized for 5 Minute.
Asset: Nasdaq 100 Futures (NQ / MNQ).
Visuals: The "Trend Ribbon" turns Green for Bullish and Red for Bearish. Wait for the ribbon to align with a signal label (BUY/SELL).
Execution: Follow the signals generated by the strategy tester. All risk parameters are pre-calculated for you.
Estratg PFX automt ( PRODIGIO.FX)The PFX Automt (PRODIGIO.FX) - NY | RR | Risk Fixed | ATR + BE strategy is an automated trading system designed to operate with precision in the market. It combines the SuperTrend indicator with advanced risk management, configurable Break Even (BE), and customizable alerts, providing a professional approach for traders seeking clear and well-defined trades.
Key Features:
SuperTrend Entry & Exit System
LONG/SHORT entries based on price crossovers with the SuperTrend.
Automatic exits when the price crosses the opposite trend.
SuperTrend plotted on the chart for intuitive tracking.
Advanced Risk Management
Configurable risk per trade in USD.
Dynamic Stop Loss based on SuperTrend values.
Take Profit automatically calculated according to the user-defined Risk Reward (RR).
Configurable Break Even (BE)
Automatically moves the stop to BE when the trade reaches the defined RR percentage.
Helps secure partial profits and minimize losses.
Optional ATR Anti-Chop Filter
Prevents trades during low volatility ranges.
Adjustable via ATR period and multiplier.
Customizable Trading Hours
Operates only during the New York session.
Fully adjustable start and end times.
Customizable Alerts
Notifications on LONG/SHORT entries.
Alerts on automatic trade exits.
Alerts when Break Even is activated.
Compatible with popup, email, or webhooks (ideal for integration with Telegram or automated trading systems).
Daily Trade Control
Limits the maximum number of trades per day to avoid overexposure.
Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
Prismatic Liquidity Engine [JOAT]Prismatic Liquidity Engine v6 - SMC Structure, Liquidity & Confluence Suite
IMPORTANT NOTES (READ FIRST)
This is a strategy script with automated entry/exit logic for backtesting and forward-testing purposes. It does not place live trades without your broker integration.
This script is written in Pine Script® v6 and is intended to be used on standard candlestick charts (not Heikin Ashi, Renko, etc.).
Source code visibility: This script is published as Protected Source (closed-source) to prevent unauthorized copies and maintain versioning integrity. This description documents what the strategy does, how it works, and how to use it.
All backtesting results shown use the default settings documented below. Adjust parameters for your specific instrument and risk tolerance.
Protected Source / Closed-Source Clarification
Protected source means the internal implementation is not publicly viewable.
The operational behavior is documented here: what is detected, what each module does, what each input controls, and how to interpret the output.
If you see unauthorized copies elsewhere, report them via TradingView's plagiarism reporting system.
Overview
Prismatic Liquidity Engine v6 is a Smart Money Concepts (SMC) strategy that combines market structure analysis, liquidity zone detection, and price imbalance identification into a unified decision framework. The strategy identifies trading opportunities by analyzing:
Market structure shifts (Break of Structure / Change of Character)
Liquidity pools (equal highs/lows where stops accumulate)
Price imbalances (Fair Value Gaps created by aggressive institutional participation)
Order blocks (accumulation/distribution zones)
The strategy requires confluence across multiple factors before generating entries, filtering out noise and focusing on setups where structure, liquidity, and momentum align.
What Makes This Strategy Original (Originality & Usefulness)
This is not a simple mashup of standard indicators. The strategy implements a coordinated SMC workflow:
Structure defines the directional bias (BOS confirms trend, CHoCH signals potential reversal).
Liquidity zones identify where stop-hunts are likely to occur before major moves.
FVGs and Order Blocks provide objective entry zones with defined invalidation levels.
Session filtering restricts trading to high-liquidity periods (London/NY overlap).
ATR-based risk management adapts stop/target placement to current volatility.
Confluence scoring requires multiple conditions to align before entry.
The purpose is to systematize SMC concepts into a testable, repeatable framework rather than relying on discretionary interpretation.
1) Chart Visuals — What You See
A) Fair Value Gap (FVG) Zones
The strategy detects three-candle formations that create price imbalances:
Bullish FVGs : Gap between candle 1's high and candle 3's low after aggressive upward movement.
Bearish FVGs : Gap between candle 1's low and candle 3's high after aggressive downward movement.
Zones are drawn as boxes with size labels showing the gap in price terms.
Mitigation tracking marks zones as "used" when price trades back through them.
How to use:
FVGs represent areas where price moved too fast for balanced trading.
Price often returns to these zones before continuing in the original direction.
The strategy uses FVGs as potential entry zones when other confluence factors align.
B) Order Block (OB) Zones
Bullish OBs : Last down-candle before a strong upward move (institutional absorption).
Bearish OBs : Last up-candle before a strong downward move (institutional distribution).
Volume-weighted analysis distinguishes significant blocks from noise.
Breach detection invalidates spent order blocks.
C) Market Structure Labels
BOS (Break of Structure) : Price breaks beyond previous swing high/low, confirming trend continuation.
CHoCH (Change of Character) : Price breaks structure against the prevailing trend, signaling potential reversal.
Swing highs/lows are marked and connected for visual structure tracking.
D) Liquidity Zone Markers
Equal highs : Buy-side liquidity pools (stop losses from shorts).
Equal lows : Sell-side liquidity pools (stop losses from longs).
Sweep detection identifies when liquidity is taken.
E) Session Background Shading
Asian session: 0000-0900 UTC
London session: 0700-1600 UTC
New York session: 1300-2200 UTC
Background tint indicates active session for context.
F) Trend EMAs (Optional)
EMA 20 / 50 / 200 for trend direction context.
Used internally for trend alignment requirements.
2) Strategy Execution Logic (How Entries Work)
Long Entry Conditions (all must be true):
Market bias is bullish (confirmed by BOS or CHoCH analysis).
Price is within a valid bullish FVG or Order Block zone.
EMAs show bullish alignment or recovery.
Volume exceeds 20-period moving average (participation confirmation).
Trade window is active (session filter).
A BOS or CHoCH signal is present.
Short Entry Conditions (all must be true):
Market bias is bearish (confirmed by BOS or CHoCH analysis).
Price is within a valid bearish FVG or Order Block zone.
EMAs show bearish alignment or recovery.
Volume exceeds 20-period moving average.
Trade window is active.
A BOS or CHoCH signal is present.
Exit Logic:
Primary stop loss: ATR-based (default 1.5x ATR).
Fallback stop: Recent swing point if ATR stop is too wide.
Take profit: ATR-based (default 2.5x ATR).
Trailing stop available for locking in profits.
3) Strategy Properties & Backtesting Documentation
Default Strategy Properties (Properties Tab):
Initial Capital : $10,000 USD — realistic for average retail trader
Base Currency : USD
Order Size : 10% of equity per trade
Pyramiding : 1 order (no pyramiding for conservative risk)
Commission : 0.05% per order (realistic for CFD/forex brokers)
Slippage : 2 ticks per order (accounts for market impact)
Risk Per Trade:
With ATR Stop Multiplier at 1.5x and 10% position sizing, typical risk per trade is approximately 1-3% of equity depending on volatility. This is within the sustainable 5-10% maximum recommended by TradingView guidelines.
Published Backtest Results (GOLD 5m, Sep 28, 2025 – Jan 12, 2026):
Total Trades : 37
Profitable Trades : 56.76% (21 of 37)
Profit Factor : 2.067
Net Profit : +$40.90 USD (+0.04%)
Max Drawdown : $98.62 USD (0.10%)
Sample Size Justification:
This strategy intentionally generates fewer trades (37 in this sample) because it requires multi-factor confluence before entry:
Market structure confirmation (BOS or CHoCH)
EMA trend alignment
Valid SMC zone proximity when zone filter is enabled
The confluence requirement filters out low-probability setups, resulting in a positive profit factor (2.07) and controlled drawdown (0.10%) at the cost of trade frequency. This is a deliberate design choice — the strategy prioritizes quality over quantity .
To increase sample size for your own testing:
Test across multiple instruments (EURUSD, BTCUSD, indices)
Extend the historical date range
Reduce Swing Length parameter from 5 to 3
Strategy Input Defaults:
Swing Length : 5 bars
ATR Period : 14 bars
ATR Stop Multiplier : 1.5x ATR
ATR Take Profit Multiplier : 2.5x ATR (1.67:1 reward-to-risk)
Risk % of Equity : 1.0%
Trading Session : 0000-2359 (all sessions)
Require FVG/OB Zone Entry : OFF
Require Volume Confirmation : OFF
Require EMA Alignment : ON
Backtest Limitations & Realistic Expectations:
Backtesting assumes perfect fills at the close price — live execution will differ.
Commission and slippage significantly impact net results. Always test with your broker's actual fees.
Past performance does not guarantee future results.
Results vary across instruments, timeframes, and market regimes.
This strategy performs best in trending markets with clear structure — ranging/choppy conditions will produce more false signals.
Always forward-test on paper before risking real capital.
4) Real-Time Dashboard
The dashboard provides market context at a glance:
Market Bias : BULLISH / BEARISH / NEUTRAL based on structure.
Trend Strength : STRONG / WEAK based on EMA alignment.
ATR : Current volatility level with HIGH / MEDIUM / LOW classification.
Volume : Current volume ratio vs 20-period average (SPIKE / HIGH / NORMAL / LOW).
Session : Active trading session.
Key Levels : Dynamic resistance and support from recent structure.
Signal Count : Active SMC signals with strength indicator.
Trade Window : OPEN / CLOSED based on session filter.
5) Inputs & Settings Reference
Structure Detection
Swing Length : Lookback for swing high/low detection (default: 5). Lower = more signals, Higher = major structure only.
FVG Settings
Show FVGs : Toggle FVG box display.
FVG Extension : How long FVG boxes extend forward (default: 20 bars).
Order Block Settings
Show Order Blocks : Toggle OB display.
OB Extension : How long OB boxes extend forward (default: 20 bars).
Liquidity Settings
Liquidity Range % : ATR percentage for "equal high/low" classification (default: 0.5%).
Show Liquidity Zones : Toggle liquidity pool markers.
Strategy Controls
Enable Long Trades : Allow long entries (default: ON).
Enable Short Trades : Allow short entries (default: ON).
Risk % of Equity : Maximum risk per trade (default: 1.0%).
ATR Period : Length for ATR calculation (default: 14).
ATR Stop Multiplier : Stop distance in ATR units (default: 1.5).
ATR TP Multiplier : Take profit distance in ATR units (default: 2.5).
Trading Session Filter : Restrict entries to specific time windows (default: 0000-2359 = all day).
Require FVG/OB Zone Entry : When ON, price must be inside an FVG or OB zone. When OFF, trades trigger on structure signals alone (default: OFF).
Require Volume Confirmation : When ON, volume must exceed 20-period average (default: OFF).
Require EMA Alignment : When ON, price must be above/below EMAs for direction (default: ON).
Visual Settings
Show Dashboard : Toggle dashboard display.
Show Sessions : Toggle session background shading.
Show Fibonacci : Toggle Fibonacci level display.
Color Customization : Full control over all visual elements.
6) Recommended Workflow
Step 1 — Configure Risk Parameters
Set risk % appropriate for your account (1-2% recommended).
Adjust ATR multipliers based on your instrument's volatility.
Set commission/slippage to match your broker.
Step 2 — Select Appropriate Timeframe
M15-H1 : Best balance of signal frequency and reliability.
H4-D1 : Higher quality signals, fewer false positives.
M1-M5 : Scalping possible but requires tighter risk management.
Step 3 — Backtest on Your Instrument
Run strategy tester with realistic commission/slippage.
Review trade list for entry quality.
Adjust parameters if needed for your specific market.
Step 4 — Forward Test Before Live Trading
Paper trade or use small size to validate real-time behavior.
Monitor for any discrepancies between backtest and live conditions.
7) Suitable Markets
Forex majors (EURUSD, GBPUSD, USDJPY) — 24/5 liquidity, clear structure.
Major indices (SPX, NASDAQ, DAX) — trending behavior, respects levels.
Gold (XAUUSD) — respects structure and liquidity concepts.
Crypto (BTCUSD, ETHUSD) — high volatility, adjust ATR multipliers.
8) Limitations & Best-Use Guidance
This strategy is a decision-support and backtesting tool, not a guaranteed profit system.
Performance varies across market conditions (trending vs ranging).
Low liquidity periods may produce false signals.
News events can override technical analysis.
Overnight gaps may affect stop placement.
Always validate with forward testing before live capital.
9) Alerts
Bullish / Bearish Regime Start
FVG Formation (Bull / Bear)
Order Block Detection
BOS / CHoCH Structure Shift
Liquidity Sweep
High-Volume Confirmation
Recommended: Use "Once Per Bar Close" for most reliable alerts.
Disclaimer
This strategy is for educational and backtesting purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always test configurations on historical data and paper trading before applying them to live capital. You are solely responsible for your trading decisions and risk management.
-Made with passion by officialjackofalltrades
Quality-Controlled Trend StrategyOverview
This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management.
Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior.
All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution.
Design intent
Many scripts mix entries and exits in ways that make results fragile or misleading.
This strategy focuses on structural clarity by enforcing:
confirmed-bar logic only
fixed and transparent risk handling
consistent indicator calculations
one position at a time
It is intended as a baseline framework rather than an optimized system.
Trading logic (high level)
Trend context
EMA 50 vs EMA 200 defines directional bias
Entry
Price alignment with EMA 50
RSI used as a momentum confirmation, not as an overbought/oversold signal
Risk management
Stop-loss based on ATR
Fixed risk–reward structure
Risk logic is isolated from entry logic
Editing risk without affecting signals
All stop-loss and take-profit calculations are handled in a dedicated block.
Users can adjust:
ATR length
stop-loss multiplier
risk–reward ratio
without modifying entry conditions.
This allows controlled experimentation while preserving signal integrity.
Usage notes
Results vary by market, timeframe, and volatility conditions.
This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
15M Swing Structure & Retracement Algo (RB Trading)This script is an intraday structure analysis tool designed to map swing behavior retracement zones and projected extensions on the fifteen minute chart. It is purpose built for EUR/USD GBP/CAD and USD/CAD and is not intended for other markets or timeframes.
The tool highlights mathematically derived retracement areas after confirmed swing formations to help traders evaluate structure rather than predict direction.
Intended Use
✓ Timeframe fifteen minute only
✓ Markets EUR/USD GBP/CAD USD/CAD
✓ Style intraday swing structure analysis
✓ Best during London and New York sessions
✓ Not designed for Asia session conditions
Core Logic
✓ Swing highs and lows detected using a configurable lookback
✓ Trend context defined by 50 and 200 EMA relationship
✓ Swing range measured between most recent confirmed pivots
✓ Key retracement zone calculated between 50 and 61.8 percent
✓ Extension reference levels projected beyond the swing range
Visual Output
✓ Swing connection line marking the measured range
✓ Retracement zone shading when price enters the 50 to 61.8 area
✓ Extension reference levels at 161.8 200 and 261.8
✓ Color coding reflects structural context
• Green for bullish structure
• Red for bearish structure
Using RB Trading DeM Bars for Confirmation
For additional confirmation users can combine this script with the free RB Trading DeM Bars indicator.
✓ The DeM Bars appear as a histogram at the bottom of the chart
✓ Best used to assess pullback quality into the retracement zone
✓ Ideal confirmation occurs when momentum fades during the pullback
✓ Expansion in momentum as price exits the zone supports continuation
The DeM Bars are not a signal tool on their own. They are designed to confirm exhaustion or reacceleration as price interacts with the structural retracement area.
Why Fifteen Minute
The calculations are calibrated for intraday behavior on the fifteen minute chart. Higher timeframes develop structure too slowly for active evaluation. Lower timeframes introduce excess noise and reduce swing reliability.
Structure Interpretation
Bullish structure
✓ 50 EMA above 200 EMA
✓ Retracements measured from swing high
✓ Extensions projected higher
Bearish structure
✓ 50 EMA below 200 EMA
✓ Retracements measured from swing low
✓ Extensions projected lower
The script reflects current structure only. It does not determine trade direction or outcome.
Inputs
✓ EMA lengths adjustable
✓ Swing lookback sensitivity
✓ Optional display toggles for zones lines and labels
✓ Reference level buffer for spread or volatility awareness
Important Notes
This tool analyzes historical price structure only. It does not provide entry signals predictions or guarantees. All levels are mathematical projections based on past price action and may or may not be respected in future movement.
Educational use only. Proper risk management is required. Test thoroughly before live application.
RB Trading
ICC PRO - Complete Trading SystemICC Trading, or Indication, Correction, Continuation, is a structured day/swing trading strategy that identifies market cycles for high-probability entries, focusing on price breaking key levels (Indication), pulling back (Correction) to grab liquidity, and then resuming the trend (Continuation) for entries, emphasizing discipline and market structure over impulsive trades. It helps traders avoid chasing breakouts by waiting for pullbacks, improving timing and risk management by understanding how institutions move markets.
ICC PRO INDICATOR - Complete User Guide
1. **✅ Break of Structure (BOS) Detection**
- Automatically identifies H1 bullish and bearish BOS
- Marks HH, HL, LH, LL on the chart
- Clear visual lines showing BOS levels
2. **✅ Supply & Demand Zones**
- Automatically draws demand zones (green boxes) at swing lows
- Automatically draws supply zones (red boxes) at swing highs
- Tracks how many times each zone is tested
- Zones extend forward to show upcoming resistance/support
3. **✅ Fair Value Gap (FVG) Detection**
- Identifies bullish FVGs (blue dashed boxes)
- Identifies bearish FVGs (purple dashed boxes)
- Only shows gaps larger than minimum ATR threshold
- Highlights imbalance areas where price may return
4. **✅ Multi-Timeframe Analysis**
- H1 timeframe for BOS identification
- M15 timeframe for entry signals
- Automatic structure analysis across timeframes
5. **✅ M15 Reversal Pattern Confirmation**
- Waits for M15 to print HH+HL (bullish reversal)
- Waits for M15 to print LH+LL (bearish reversal)
- Optional: Can disable and trade without waiting
6. **✅ Confluence Rating System**
- Rates each setup from C to A+
- Scores based on: BOS + M15 Reversal + S/D Zone + FVG + R:R
- Only trade A/A+ setups for highest probability
7. **✅ Professional TP/SL Calculations**
- Multiple TP methods: H1 swing, R:R ratios, ATR multiples
- Conservative vs Aggressive SL options
- Visual TP1, TP2, and SL lines on chart
8. **✅ Enhanced Dashboard**
- Shows current ICC phase
- Displays H1 trend direction
- Shows confluence score and rating
- Real-time R:R ratio
- Zone and FVG status
## 🎉 You're Ready to Trade!
The ICC PRO Indicator does the heavy lifting:
- ✅ Identifies BOS automatically
- ✅ Waits for proper correction
- ✅ Confirms M15 reversal
- ✅ Detects S/D zones
- ✅ Finds FVG confluence
- ✅ Calculates TP and SL levels
- ✅ Rates setup quality
- ✅ Sends you alerts
**Your job is simple**
1. Wait for A or A+ signal
2. Enter the trade
3. Set SL and TP from indicator
4. Manage the trade
5. Log results
**Remember**
- Discipline beats intelligence
- Quality over quantity
- Follow the system
- Trust the confluence rating
- Risk management is everything
Good luck, and may your ICC setups be A+ rated! 🚀📈
ORB StrategyThis isn't about staring at charts all day or stressing over every tick. It’s a "set it and forget it" approach for the Nasdaq (NQ/MNQ) that relies on cold, hard math rather than perfect predictions. We’re playing the long game—letting the edge play out over time while we stay relaxed.
How the Math Works: We aren't chasing a 90% win rate. In fact, this strategy thrives even when we’re wrong more than half the time.
Current Win Rate: ~45%.
The Edge: A fixed 3:1 Reward-to-Risk ratio.
The Result: One win wipes out three losses. As long as you catch the big moves, the small paper cuts don't matter.
The Rules:
Clean Entries: We wait for the "A+" setups on the 15m or 60m charts. If it's messy or choppy, we just don't trade.
Hard Exits: Once you’re in, the stop and target are set. No moving them, no overthinking, and no "hope" trading.
Daily Reset: We’re always out before the 4:45 PM ET margin hike—nothing is worth holding through that volatility.
Make It Yours (Personalization): Everyone trades differently, so feel free to personalize the settings to match your own comfort zone. You can jump into the Settings/Inputs tab to tweak:
Risk/Reward Ratios: If 3:1 feels too aggressive, you can dial it back to 2:1 for more frequent wins.
Sensitivity: Adjust the indicator lengths to catch faster scalps or hold for longer trends.
Visuals: Change the colors and dashboard layout so the chart feels clean to you.
Astral Flux Architect [JOAT]Astral Flux Architect – Institutional-Grade Trend & Confluence Suite
Introduction
Astral Flux Architect (AFA) is a professional, closed-source indicator built for traders who demand institutional-level clarity without exposing internal logic. It combines a zero-lag trend ribbon, multi-indicator momentum engine, regime state detection, multi-timeframe confirmation, volatility bands, volume analytics, swing structure, divergences and a compact dashboard into one unified visual system.
AFA is designed to be:
Clean enough for discretionary traders who hate chart clutter
Structured enough for systematic traders who think in rules and regimes
Flexible enough to adapt from lower intraday charts up to swing and position trading
This script is public but closed source . You can load it on any chart, change inputs, and use all features freely, but the underlying Pine Script v6 code is protected to prevent low-effort counterfeit copies and to comply with TradingView’s House Rules.
Core Functionality Overview
AFA is organised into several cooperating engines:
Trend Ribbon Engine – Five stacked moving averages (user-selectable type) form a zero-lag directional ribbon with colour-coded alignment.
Momentum Confluence Engine – RSI, MACD and ADX are blended into a single confluence score so you can quantify trend agreement at a glance.
Regime State Machine – Converts raw signals into stable Bullish , Bearish or Neutral regimes with debounce and minimum hold logic.
MTF Confirmation Layer – Optional higher-timeframe (HTF) checks that gate or filter signals based on HTF trend and momentum.
Volatility Band Engine – ATR-based envelopes that expand and contract with volatility percentile, framing fair-value vs. extension.
Volume Intelligence Layer – Compares current volume to adaptive baselines to highlight conviction vs. weak participation.
Structure & Divergence Module – Auto-detected swing highs/lows, structure break alerts and optional RSI-based divergences.
Strength Meter & Dashboard – A right-side panel that summarises bias, strength and HTF alignment without needing extra subcharts.
Visual Map – What You See on the Chart
Ribbon – Five lines following price:
– Deep/bright greens = strong bullish alignment (fast MAs above slow).
– Deep/bright reds = strong bearish alignment (fast MAs below slow).
– Neutral blues/greys = transition / compression.
Band Envelopes
– Semi-transparent band around price derived from ATR.
– Upper band: potential extension / take-profit or fade area.
– Lower band: potential discount / bid zone in bullish regimes and breakdown area in bearish regimes.
Background Tint
– Soft green background = bullish regime confirmed.
– Soft red background = bearish regime confirmed.
– Neutral/very light background = no active regime (chop, transition).
Swing Markers & Structure Lines
– Small "H" labels mark confirmed swing highs; small "L" labels mark confirmed swing lows.
– Dashed horizontal lines extend from recent pivots to visualise active support/resistance.
Divergence Markers (optional)
– Tiny green diamonds below price = bullish RSI divergence (price lower low, RSI higher low).
– Tiny red diamonds above price = bearish RSI divergence (price higher high, RSI lower high).
Strength Meter
– A compact percentage widget on the right side representing combined trend+momentum+volume strength from 0–100.
– Darker colour + higher value = more decisive trend environment.
Astral Flux Dashboard (top-right by default)
– Header: ASTRAL FLUX + current symbol.
– "REGIME": Bullish / Bearish / Neutral, colour-coded.
– "CONFLUENCE": −100 to +100, summarising trend+momo alignment.
– "TREND": textual rating (Strong / Weak / Flat) with score.
– "RSI", "MACD", "ADX" rows: quick assessment of each component.
– "HTF": Higher-timeframe bias (Bull / Bear / Mixed) when HTF is enabled.
Engines in Detail
1. Trend Ribbon Engine
Five moving averages with user-selectable type: EMA, SMA, ZEMA, DEMA, TEMA, HMA, ALMA, KAMA.
Defaults: 8 / 21 / 55 / 100 / 200 – a blend of short-term reactivity and institutional anchor levels.
Ribbon colouring encodes both direction and ordering:
– All stacked bullish (fast above slow) = strong bullish environment.
– All stacked bearish (fast below slow) = strong bearish environment.
– Mixed stacking or tight clustering = transition or compression.
Fills between the lines visually highlight compression/expansion phases.
2. Momentum Confluence Engine
RSI checks whether price is building strength (above bull threshold), losing strength (below bear threshold) or neutral.
MACD checks if momentum agrees with price direction (line vs. signal, above/below zero).
ADX evaluates whether conditions are trending (above threshold) or ranging.
A vote is assigned by each component (bull, bear or neutral), then combined with ribbon alignment into a Confluence Score from −100 to +100.
This score is displayed in the dashboard and used by the regime detector and alerts.
3. Regime State Machine
Raw conditions (trend score + confluence + anti-chop filters) propose bullish or bearish states.
Debounce logic requires a minimum number of confirm bars before flipping.
Minimum hold time prevents immediate flip-flopping in chop.
Final regimes:
– Bullish : background tinted green; bullish alerts active.
– Bearish : background tinted red; bearish alerts active.
– Neutral : no tint; best to stand aside or reduce size.
4. Multi-Timeframe Confirmation Layer
Pulls higher-timeframe data (e.g., 4H while trading 45m) using Pine Script v6 non-repainting request patterns.
Evaluates HTF trend (MAs), HTF RSI zone and HTF MACD orientation.
Modes:
– Display : show HTF row in dashboard, no gating.
– Filter : disallow entries against a strong opposite HTF trend.
– Strict : only allow trades when LTF and HTF agree.
5. Volatility Band Engine
Bands are based on ATR length + multiplier with optional dynamic scaling via volatility percentile.
Use cases:
– Identify stretched moves (price pinned outside band).
– Frame pullback zones (mid-band and opposite band).
– Combine with regime to avoid shorting strong bull trends too early.
6. Volume Intelligence Layer
Compares current volume to a rolling baseline.
Flags high-volume bursts (potential genuine moves) vs. low-volume drifts (low conviction).
Feeds into the strength meter and high-volume alerts.
7. Structure & Divergence Module
Automatically finds swing highs/lows with user-controlled lookback.
Draws short horizontal lines to mark tradable structure.
Generates alerts on:
– Bullish structure breaks (price clearing prior swing highs).
– Bearish structure breaks (price losing prior swing lows).
Optional RSI divergence detection (bullish and bearish) for advanced timing.
8. Strength Meter & Dashboard
Strength meter condenses trend score, confluence, ADX and volume into a simple 0–100 scale.
Dashboard text is intentionally concise: every row answers a specific question (Who is in control? How strong? Is HTF aligned?).
Colours are tuned for both dark and light theme visibility using blended midnight-blue backgrounds and high-contrast text.
Inputs & Customisation (Detailed)
Trend Ribbon Settings
– MA Type, lengths, plot visibility and fill transparency.
– Ideal workflow: leave the base stack at 8/21/55/100/200 and adjust type per asset (HMA/ALMA for crypto, EMA/ZEMA for FX, KAMA for indices).
Momentum Confluence
– Tune RSI thresholds tighter for scalping, wider for swing trading.
– Adjust ADX threshold to define what you consider a "real" trend.
Regime Detector
– ATR separation multiplier filters out flat MAs.
– Slope ROC and minimum hold bars balance responsiveness vs. stability.
Multi-Timeframe
– Choose HTF (e.g., trade 15m with 1H, trade 1H with 4H, trade 4H with 1D).
– Switch between Display, Filter, Strict depending on how aggressively you want to enforce alignment.
Volatility Bands
– Tune ATR length/multiplier per asset.
– Enable dynamic mode when volatility regimes vary strongly over time.
Visual Settings
– Toggle background tint, bar colours, structure, divergences, dashboard and meter individually for ultra-clean or fully-instrumented layouts.
Practical Workflows
1. Intraday Trend-Following (5–15m)
Use HTF = 1H or 4H in Filter mode.
Look for AFA bullish regime + HTF bull alignment + confluence above +30.
Enter on pullbacks toward the mid-band or slow ribbon MAs.
Partial take-profit at upper band; trail behind ribbon or recent swing lows.
2. Swing Trading (1H–4H)
HTF = 1D, mode Strict .
Focus on clear regime shifts after prolonged neutral/chop periods.
Use structure breaks plus high confluence for initial entries.
Use divergences and strength meter > 80 to manage exits on exhaustion.
3. Mean-Reversion Windows
Only consider counter-trend plays when:
– Strength meter > 85.
– Price extended beyond the outer band.
– Divergence appears or structure refuses further extension.
Reduce position size relative to with-trend trades.
Alerts
AFA ships with a rich alert set (exact names may vary with future updates):
Bullish / Bearish Regime Start
Strong Bull / Bear Confluence
Upper / Lower Band Touch in active regime
Bullish / Bearish Structure Break
High-Volume Bull / High-Volume Bear
Bullish / Bearish Divergence
Recommended: attach alerts to a higher timeframe chart (e.g., 1H/4H) and then drill into lower timeframes to refine entries.
Best Practices
Treat AFA as a decision-support system , not a signal spammer.
Let regime and HTF alignment define your directional bias first.
Use confluence and strength meter to time entries, not to force trades.
Keep risk management external (position sizing, stop placement and portfolio rules are still your responsibility).
Test on your favourite asset/timeframe combinations before going live.
Publishing Rules & IP / Reuse Notice
This indicator is published on TradingView as public, closed source . It follows TradingView House Rules. Using this tool on your charts is fully allowed.
Disclaimer
Astral Flux Architect is an educational and analytical tool, not financial advice. Markets are risky; there is no guarantee of profit or protection from loss. Always test configurations on historical data and paper trading before applying them to live capital, and make sure your risk per trade and overall exposure are appropriate for your situation.
-Made with passion by officialjackofalltrades
Volume-Adjusted CCI Trend [Alpha Extract]A sophisticated trend identification system that combines dual EMA direction analysis with volume-weighted normalization and CCI momentum filtering for comprehensive trend validation. Utilizing Volume RSI integration and standard deviation-based bands that expand and contract with volume characteristics, this indicator delivers institutional-grade trend detection with multi-layered confirmation requirements. The system's volume adjustment mechanism modulates signal sensitivity based on participation strength while CCI thresholds prevent false signals during weak momentum conditions, creating a robust trend-following framework with reduced whipsaw susceptibility.
🔶 Advanced Dual EMA Direction Engine
Implements fast and slow exponential moving average comparison to establish primary trend direction bias with configurable period parameters for timeframe optimization. The system calculates trend direction as binary +1 (bullish when fast EMA exceeds slow EMA) or -1 (bearish when slow exceeds fast), providing foundational directional input that requires additional confirmation before generating actionable trend states.
🔶 Volume-Adjusted Normalization Framework
Features sophisticated normalization calculation that measures price deviation from basis EMA, scales by standard deviation, then applies volume-weighted adjustment factor for participation-sensitive signal generation. The system calculates Volume RSI to quantify relative volume strength, converts to ratio format, and multiplies normalized deviation by volume factor scaled by impact parameter, creating signals that strengthen during high-volume confirmations and weaken during low-volume moves.
// Volume-Adjusted Normalization
Vol_Ratio = Volume_RSI / 50
Vol_Factor = 1 + (Vol_Ratio - 1) * Vol_Impact
Dev = src - Basis_EMA
Raw_Normalized = Dev / (StdDev * Multiplier)
Vol_Adjusted_Norm = Raw_Normalized * Vol_Factor
🔶 CCI Momentum Filter Integration
Implements Commodity Channel Index threshold system with configurable upper and lower bounds to validate trend strength and filter sideways market conditions. The system calculates standard CCI with adjustable length, compares against asymmetric thresholds (default +100 bullish, -50 bearish), and requires CCI confirmation in addition to EMA direction and normalized deviation before transitioning trend states, ensuring only high-conviction signals generate entries.
🔶 Multi-Layer Trend State Logic
Provides intelligent trend state machine requiring simultaneous confirmation from EMA direction, volume-adjusted normalization threshold breach, and optional CCI momentum validation. The system maintains persistent trend state that only transitions when all three conditions align, preventing premature reversals during temporary retracements or low-volume fluctuations while capturing genuine trend changes with institutional-grade confirmation requirements.
🔶 Dynamic Volume Band Architecture
Creates volatility-adjusted bands around basis EMA using standard deviation multiplied by volume factor, producing channels that widen during high-volume periods and contract during low-volume consolidations. The system applies identical volume adjustment to band calculations as normalization metric, ensuring visual envelope consistency with underlying signal logic and providing intuitive reference boundaries for trend-following price action.
🔶 Gradient Strength Visualization System
Implements color intensity modulation based on normalized signal strength relative to threshold requirements, creating visual feedback that communicates trend conviction. The system calculates strength ratio by dividing absolute normalized value by threshold, caps at 1.0, and applies gradient interpolation from muted to vivid colors, instantly conveying whether current trend exhibits marginal or strong characteristics through line and candle coloring.
🔶 Volume RSI Calculation Engine
Utilizes RSI methodology applied to volume series rather than price to quantify relative participation strength with normalization to 0.5-1.5 range for factor multiplication. The system processes volume through standard RSI calculation, divides by 50 to center around 1.0, and produces ratio values where readings above 1.0 indicate above-average volume and below 1.0 suggest below-average participation for signal adjustment purposes.
🔶 Asymmetric Threshold Configuration
Features separate positive and negative normalization thresholds with independent CCI upper and lower bounds enabling optimization for bullish versus bearish signal generation characteristics. The system defaults to symmetric normalized thresholds (±0.2) but asymmetric CCI levels (+100/-50), recognizing that bullish momentum often requires stronger confirmation than bearish reversals in typical market structures.
🔶 Comprehensive Visual Integration
Provides multi-dimensional trend visualization through color-coded basis line, volume-adjusted bands with gradient fills, trend-synchronized candle coloring, and transition signal labels. The system enables selective display toggling for each visual component while maintaining consistent color scheme and strength-based intensity across all elements for cohesive chart presentation without overwhelming information density.
🔶 Alert and Signal Framework
Generates trend change alerts when state transitions occur with all confirmation requirements satisfied, providing notifications for bullish (transition to +1) and bearish (transition to -1) signals. The system implements state change detection through comparison with previous bar trend state, ensuring single alert per transition rather than continuous notifications during sustained trends.
🔶 Performance Optimization Architecture
Employs efficient calculation methods with null value handling for Volume RSI initialization and nz() functions preventing calculation errors during early bars. The system includes intelligent state persistence maintaining previous trend during ambiguous conditions and optimized gradient calculations balancing visual quality with computational efficiency across extended historical periods.
🔶 Why Choose Volume-Adjusted CCI Trend ?
This indicator delivers sophisticated trend identification through multi-layered confirmation combining directional EMA analysis, volume-weighted normalization, and momentum validation via CCI filtering. Unlike traditional trend indicators relying solely on price-based calculations, the volume adjustment mechanism ensures signals strengthen during high-participation moves and weaken during low-volume drifts, reducing false breakouts and choppy market whipsaws. The system's requirement for simultaneous EMA direction, normalized threshold breach, and CCI momentum confirmation creates institutional-grade signal quality suitable for systematic trend-following approaches across cryptocurrency, forex, and equity markets. The volume-adjusted bands provide dynamic support/resistance references while the gradient strength visualization enables instant assessment of trend conviction for position sizing and risk management decisions.
SA Fib 22 Fib 72 Reaction SuiteSIGNAL ARCHITECT™ — Fib 22 + Fib 72 Reaction Suite
4-Hour Timeframe Use Case Guide
🔍 WHAT THIS STUDY DOES (4H CONTEXT)
The Fib 22 + Fib 72 Reaction Suite is a reaction-based market structure tool, not a predictive indicator.
On the 4-Hour timeframe, this study is designed to identify:
Institutional decision zones
Defensive reactions vs momentum continuation
Where price must respond, not where it “might” go
Rather than forecasting direction, the study highlights high-probability reaction areas derived from the recent structural range.
📐 CORE LOGIC OVERVIEW
This system operates with two distinct Fibonacci behavior zones, each serving a different market function:
🔹 Fib 72 — Decision / Defense Zone
Represents upper structural participation
No trend filter applied
Used to detect:
Bullish defense (reclaim)
Bearish rejection (failure)
Ideal for:
Swing inflection
Range resolution
Institutional defense zones
🔹 Fib 22 — Momentum Continuation Zone
Represents lower retracement continuation
Requires trend alignment
Used to confirm:
Continuation after pullbacks
Trend-validated re-entries
Ideal for:
Trend continuation
Add-on positioning
Directional confirmation
🕒 WHY THE 4-HOUR TIMEFRAME WORKS BEST
On the 4H chart, this system becomes a swing-grade structural map rather than a short-term signal tool.
Best characteristics on 4H:
Filters out intraday noise
Captures multi-day institutional positioning
Aligns well with:
Macro rotations
Sector moves
Index rebalancing flows
This timeframe is especially effective for:
Swing traders
Position builders
Portfolio bias confirmation
🧭 HOW TO INTERPRET SIGNALS (4H)
🟢 BULL 72 (Defense / Reclaim)
Price tests Fib 72
Successfully reclaims with confirmation
Indicates:
Buyers defending higher structure
Failed breakdown attempt
Potential upside continuation or range hold
🔴 BEAR 72 (Rejection)
Price tests Fib 72
Fails and rejects lower
Indicates:
Supply defending structure
Failed breakout attempt
Potential downside rotation
🟢 BULL 22 (Momentum Continuation)
Price retraces to Fib 22
Trend filter must confirm
Indicates:
Healthy pullback in an uptrend
Institutional continuation zone
Momentum resumption potential
🔴 BEAR 22 (Momentum Continuation)
Price retraces to upper Fib 22 (bear side)
Trend filter must confirm
Indicates:
Controlled pullback in a downtrend
Continuation after relief
Trend-aligned downside pressure
🎯 BEST USE CASES (4H)
✔ Swing bias confirmation
✔ Multi-day trade planning
✔ Trend continuation validation
✔ Structural reaction analysis
✔ Pairing with:
Weekly levels
Volume profile
Auction / VWAP frameworks
Macro rotation analysis
🚫 Not intended for:
Scalping
Tick-by-tick execution
Standalone entry timing
⚠️ IMPORTANT NOTES
Signals do not predict future price
Signals identify reaction zones only
Always wait for confirmation behavior
Best used as a context layer, not a trigger alone
⚖️ DISCLAIMER (MANDATORY)
This script is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security or instrument.
Trading and investing involve substantial risk, including the possible loss of principal.
Past performance is not indicative of future results.
You are solely responsible for your trading decisions, risk management, and compliance with all applicable laws and regulations.
By using this script, you acknowledge and accept these risks.
Signal To trade along with the indicator
trianchor.gumroad.com
chatgpt.com
chatgpt.com
chatgpt.com
SA Trump Volatility Pattern Wick + Volume Shock ReversalDisclaimer (read first)
Educational use only — not financial advice. This script does not provide entries/exits, targets, position sizing, or profit guarantees. Trading (especially options/futures) involves substantial risk and can result in loss of principal (and more for leveraged products). Use at your own discretion.
Best use cases on the 2-Hour timeframe
On 2H, this script becomes a high-signal-quality “shock reversal” detector instead of a noisy candle toy. You’re essentially filtering for:
Large wick rejection
Small real body
Statistically unusual volume (Z-score > threshold)
Context alignment (trend filter + prior bar direction + optional RSI)
What 2H is best for
1) Detecting “event shock” reversals
2H bars often capture:
Macro headlines
Fed commentary
earnings reactions (for equities)
sudden volatility expansions
When the script fires on 2H, it often means:
“Aggressive push happened, liquidity got rejected, and participation was unusually high.”
That’s a structural clue, not a trade instruction.
2) Filtering false breakouts / breakdowns
The wick requirement is basically “failed continuation.”
On 2H, this is powerful around:
prior day highs/lows
weekly pivots
obvious consolidation edges
key moving averages (fast SMA / slow SMA gate)
Bull pattern = flush + reclaim behavior.
Bear pattern = pop + rejection behavior.
3) Options traders: timing “premium exposure windows”
On 2H, this is great for options traders who want to avoid buying premium into a fake move.
BullTrump on 2H can be used as a “don’t chase puts / be cautious short” context shift.
BearTrump on 2H can be used as a “don’t chase calls / be cautious long” context shift.
It’s a “regime hint” for the next few sessions, not a one-bar command.
4) Futures traders: rotation vs continuation framework
A 2H “Trump Candle” often marks:
the end of a liquidation leg
a stop-run / squeeze peak
a pivot moment where the market shifts from impulse to balance
Use it to decide whether you’re in:
continuation mode (trend carries)
or rotation mode (mean-reversion / two-way)
How to use it (2H workflow)
Step A — Keep it strict at first
Recommended defaults for 2H:
wickFracThreshold: 0.40–0.55
bodyMaxFrac: 0.35–0.45
volZThresh: 1.0–1.5
useRSIFilter: ON
RSI bull min / bear max: 45 / 55 (good baseline)
Step B — Treat triggers as “context events”
When it prints, ask 3 questions:
Where did it happen? (key level or random spot)
Was it aligned with trend gate? (SMA fast/slow)
Did volume Z-score spike? (true shock vs normal wick)
Higher quality triggers happen when:
the wick pierces a known level (prior swing / range edge)
and the close re-enters the range
and volume Z-score is meaningfully positive
Step C — Confirm with the next 1–2 candles (optional)
On 2H, it’s reasonable to wait for:
a follow-through close
or a hold above/below fast SMA
or a second “acceptance” candle
You can do this manually without changing code.
Other recommended timeframes (best to worst)
✅ 4H (even cleaner, fewer signals)
Use for:
swing context
multi-day pivots
big reversal points
✅ 1H (more signals, still structured)
Use for:
intraday + overnight context
day-trade bias shifts
✅ 30m (for active traders)
Use for:
tighter responsiveness
more setups
But requires more discretion; noise increases.
⚠️ 15m and below (only if you increase strictness)
If you want to run it on 5m/15m:
raise volZThresh (ex: 1.5–2.0)
raise wickFracThreshold (ex: 0.50–0.65)
lower bodyMaxFrac (ex: 0.25–0.35)
Otherwise it will trigger too often.
Best markets for this script
Works best on:
Index futures: /NQ, /ES (big volume makes Z-score meaningful)
Liquid ETFs: SPY, QQQ
High-volume large caps (AAPL, MSFT, NVDA etc.)
Less reliable on:
thin small caps (volume Z-score gets weird)
low-volume premarket candles
illiquid options underlyings
Signal Inside the Script ✅ SA ZoneEngine Bias Filtered is a market-structure bias and confirmation tool designed for futures To request access: 👉 Purchase here: trianchor.gumroad.com
Best GBT for this indicator
chatgpt.com
chatgpt.com
chatgpt.com
RSI Honor - Relative Strength Index📈 RSI Honor – Advanced Relative Strength Index
RSI Honor is an enhanced and visually optimized version of the classic Relative Strength Index (RSI), designed for traders who seek clarity, confirmation, and context in their decision-making.
This indicator preserves the core logic of the traditional RSI while adding advanced technical analysis tools, a clean visual design, and professional customization options.
🔹 Key Features
Configurable Classic RSI
Easily adjust the RSI period and price source to adapt it to any market or timeframe.
Clearly Defined Key Levels
Overbought: 70
Oversold: 30
Midline: 50
Includes background fills and gradients that make momentum interpretation more intuitive.
Dynamic Gradients
Green tones when entering overbought zones
Red tones when entering oversold zones
This allows traders to quickly identify the strength of price movement at a glance.
RSI Smoothing (Optional)
Apply different types of moving averages directly to the RSI:
SMA
EMA
SMMA (RMA)
WMA
VWMA
SMA + Bollinger Bands
Bollinger Bands on RSI
Ideal for detecting volatility expansions, compressions, and potential momentum reversals.
Divergence Detection (Optional)
Regular bullish divergences
Regular bearish divergences
Signals are displayed directly on the RSI pane with clear labels and can trigger automatic alerts.
🔹 Built-in Alerts
Regular bullish divergence alert
Regular bearish divergence alert
Perfect for monitoring the market without staying glued to the screen.
🎯 Who Is RSI Honor For?
Scalping, day trading, and swing trading traders
Users looking for a more informative and visual RSI
Traders who combine momentum + divergences + volatility
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Multi-Factor PanelThis indicator is an analytical tool designed to display market information in the form of a compact panel or dashboard. It aggregates several independent metrics in one place, simplifying the visual analysis of the current market state.
Each row of the panel reflects the state of a separate analytical factor. The indicator may display, in particular:
— funding rate data;
— fear and greed index;
— current volatility metrics;
— distance to the nearest support and resistance levels;
— trading volume;
— detected candlestick formations;
— information on recorded liquidations;
— indications of overbought or oversold conditions of the asset.
For ease of perception, background color coding is used to reflect the current prevailing state of the combined displayed factors. The color scheme serves solely as a visual reference and does not constitute a forecast, trading advice, or a guarantee of future price movement.
The indicator can be applied across various timeframes. Based on observations, the most informative results are typically achieved when using timeframes in the range from 1 hour to 1 week.
Please note: the indicator is not a trading strategy and is for informational purposes only. It is used by the user within their own methodology and decision-making framework.
Session Swing High / Low Rays AUS USERS ONLY
marks the last week concurrent to the present day, the highs and lows of each session
QLT Supertrend FlagsQLT Supertrend Flags
Description of the "QLT Supertrend Flags" indicator
📊 Basic Concept
This is an expanded version of the classic Supertrend indicator with a system of confirmed signals. The indicator helps identify trend reversals with additional filtering of false signals through various confirmation methods.
Key Features
1. Improved Supertrend with an adaptive multiplier
- Basic trend calculation based on ATR (Average True Range)
- Dynamic ATR multiplier option to adapt to changing volatility
- Colored trend line (green = bullish, red = bearish)
2. Signal Confirmation System
4 methods for confirming trend reversals:
- Time - the signal is confirmed N bars after the reversal
- Price - the price must move away from the Supertrend line by a specified % of ATR
- Volume - confirmation by increased volume
- Indicator - confirmation by another indicator
3. Process Visualization
- Confirmation Zone - highlights the period between the reversal and confirmation
- Flags - clear buy (B) and sell (S) signals
- Distance - displays the distance from the price to the Supertrend line in ATR units
Indicator Settings
Supertrend Main Parameters:
1. Source - price for calculation (HL2 by default)
2. ATR Length - Volatility calculation period (14 recommended)
3. Base ATR Multiplier - Channel width (3.0 recommended)
Dynamic Multiplier:
- Enable adaptive multiplier that changes with volatility
- Volatility Estimation Period - Sensitivity setting
Confirmation Method:
1. Bars - N-bar delay (conservative approach)
2. Price - % price deviation from ATR (active approach)
3. Volume - Volume spike (confirmation of interest)
4. Indicator - Confirmation by another indicator (e.g., RSI, MACD)
Visual Settings:
- Flag size (Tiny, Small, Normal, Large)
- Colors for bullish/bearish signals
- Trendline thickness
- Display statistics and distance
How to use in trading
Buy signals:
1. Reversal of a bullish trend - the Supertrend line changes color from red to green
2. Confirmation** - according to the selected method (time delay, price deviation, etc.)
3. "B" flag - appears below the bar, signaling a buy signal
4. Take profit - at the next resistance level or the distance to the line
Sell signals:
1. Reversal to a bearish trend - the line changes color from green to red
2. Confirmation - similar to a bullish signal
3. "S" flag - appears above the bar, signaling a sell signal
4. Take profit - at the next support level
Risk management:
- Stop loss - behind the Supertrend line (stop level)
- Distance - the greater the distance from the price to the line, the greater the potential for movement
- Confirmation zone - avoid entry until full confirmation
Interpretation of elements
Supertrend line:
- Green - bullish trend, buy on pullbacks to the line
- Red - bearish trend, sell on Rebounds to the line
Flags:
- "B" (green) - confirmed buy signal
- "S" (red) - confirmed sell signal
Confirmation zone (blue fill):
- Period between the initial reversal and confirmation
- Avoid entries in this zone
Distance (histogram/fill):
- > +2 ATR - strong upward deviation (possible correction)
- +1 to +2 ATR - moderate bullish deviation
- -1 to +1 ATR - neutral zone
- -1 to -2 ATR - moderate bearish deviation
- < -2 ATR - strong downward deviation (possible rebound)
Trading strategies
Strategy 1: Conservative (temporary confirmation)
- Settings: confirmation after 2-3 bars
- Advantage: minimal number of false signals
- Disadvantage: lag Entry
Strategy 2: Active (price confirmation)
- Settings: Confirmation when the price moves 1-2% from the ATR
- Advantage: Early entry into a trend
- Disadvantage: More false signals
Strategy 3: Synthetic (volume + indicator)
- Settings: Volume and RSI/MACD confirmation
- Advantage: High accuracy
- Disadvantage: Complex setup
MDZ Strategy v4.2 - Multi-factor trend strategyWhat This Strategy Does
MDZ (Momentum Divergence Zones) v4.2 is a trend-following strategy that enters long positions when multiple momentum and trend indicators align. It's designed for swing trading on higher timeframes (2H-4H) and uses ATR-based position management.
The strategy waits for strong trend confirmation before entry, requiring agreement across five different filters. This reduces trade frequency but aims to improve signal quality.
Entry Logic
A long entry triggers when ALL of the following conditions are true:
1. EMA Stack (Trend Structure)
Price > EMA 20 > EMA 50 > EMA 200
This "stacked" alignment indicates a strong established uptrend
2. RSI Filter (Momentum Window)
RSI between 45-75 (default)
Confirms momentum without entering overbought territory
3. ADX Filter (Trend Strength)
ADX > 20 (default)
Ensures the trend has sufficient strength, not a ranging market
4. MACD Confirmation
MACD line above signal line
Histogram increasing (momentum accelerating)
5. Directional Movement
+DI > -DI
Confirms bullish directional pressure
Exit Logic
Positions are managed with ATR-based levels:
ParameterDefaultDescriptionStop Loss2.5 × ATRBelow entry priceTake Profit6.0 × ATRAbove entry priceTrailing Stop2.0 × ATROptional, activates after entry
The default configuration produces a 1:2.4 risk-reward ratio.
Presets
The strategy includes optimized presets based on historical testing:
PresetTimeframeNotes1H Standard1 HourMore frequent signals2H Low DD2 HourConservative settings3H Optimized3 HourBalanced approach4H Swing4 HourWider stops for swing tradesCustomAnyFull manual control
Select "Custom" to adjust all parameters manually.
Inputs Explained
EMAs
Fast EMA (20): Short-term trend
Slow EMA (50): Medium-term trend
Trend EMA (200): Long-term trend filter
RSI
Length: Lookback period (default 14)
Min/Max: Entry window to avoid extremes
ADX
Min ADX: Minimum trend strength threshold
Risk
Stop Loss ATR: Multiplier for stop distance
Take Profit ATR: Multiplier for target distance
Trail ATR: Trailing stop distance (if enabled)
Session (Optional)
Filter entries by time of day
Recommended OFF for 3H+ timeframes
What's Displayed
Info Panel (Top Right)
Current preset
Trend status (Strong/Wait)
ADX, RSI, MACD readings
Position status
Risk-reward ratio
Stats Panel (Top Left)
Net P&L %
Total trades
Win rate
Profit factor
Maximum drawdown
Chart
EMA lines (20 blue, 50 orange, 200 purple)
Green background during strong uptrend
Triangle markers on entry signals
Important Notes
⚠️ This is a long-only strategy. It does not take short positions.
⚠️ Historical results do not guarantee future performance. Backtests show what would have happened in the past under specific conditions. Markets change, and any strategy can experience drawdowns or extended losing periods.
⚠️ Risk management is your responsibility. The default settings risk 100% of equity per trade for backtesting purposes. In live trading, appropriate position sizing based on your risk tolerance is essential.
⚠️ Slippage and commissions matter. The backtest includes 0.02% commission and 1 tick slippage, but actual execution costs vary by broker and market conditions.
Best Practices
Test on your specific market — Results vary significantly across different instruments
Use appropriate position sizing — Never risk more than you can afford to lose
Combine with your own analysis — No indicator replaces understanding market context
Paper trade first — Validate the strategy matches your trading style before risking capital
Alerts
Two alerts are available:
MDZ Long Entry: Fires when all entry conditions are met
Uptrend Started: Fires when EMA stack first aligns bullish
Methodology
This strategy is based on the principle that trend continuation has better odds than reversal when multiple timeframe momentum indicators agree. By requiring five independent confirmations, it filters out weak setups at the cost of fewer total signals.
The ATR-based exits adapt to current volatility rather than using fixed pip/point targets, which helps the strategy adjust to different market conditions.
Questions? Leave a comment below.
Weekly Swing Trading Signals - DP V1.0This script generates swing trading signals on weekly charts based on 200 SMA and RSI values.
Institutional PointOverview Institutional Point is a sophisticated data-mining indicator designed to identify and track "institutional footprints" by isolating the single candle with the highest volume relative to a specific time anchor. Unlike traditional volume profiles that aggregate data into price bins, this script pinpoints the exact temporal origin of massive liquidity injections.
Core Methodology The script operates on a multi-timeframe analysis engine (MTF). It scans sub-chart data (2-minute or 15-minute intervals) to find the absolute maximum volume peak within a defined period. Once the "Institutional Point" is identified:
Source Identification: The origin candle is highlighted in white, signaling a high-conviction entry or exit by large-scale market participants.
Zone Projection: A borderless "Institutional Zone" is projected forward from the spike’s high/low range.
Dynamic Interaction: The zone remains active until the price revisits the area (mitigation) or until the time-based expiration is reached.
Anchor Modes & Precision
8-Hour Cycle: Optimized for high-frequency scalping. Anchors reset at 00:00, 08:00, and 16:00. Utilizes ultra-precise 2-minute volume detection.
Daily Session: Designed for intraday and swing traders. Anchors to the Daily Open. Utilizes 2-minute volume detection to isolate precise institutional orders.
Weekly Cycle: Built for identifying major structural pivots. Anchors to the Weekly Open. Utilizes 15-minute volume detection for macro-liquidity analysis.
Key Features
Naked Level Tracking: Zones automatically stop extending the moment they are "hit" by price action, providing a clean visual of unmitigated liquidity.
Anti-Noise Filter: Automatically excludes Saturday and Sunday data to maintain statistical integrity across global markets.
Minimalist Interface: High-contrast visual design focused on scannability and professional chart aesthetics.
Use Cases
Data Science & Backtesting: Ideal for measuring the "Z-Score" or "Percentile Distance" from institutional peaks.
Supply & Demand Trading: Automated identification of the "Origin of the Move."
Magnet Analysis: Tracking "Naked" volume spikes as high-probability magnets for future price mean reversion.
