Indicator
Indicator
Statistical Order Blocks | ProjectSyndicateStatistical Order Blocks automatically identifies and validates high-probability, non-repainting Order Blocks. It filters for structural quality using ATR-based displacement, normalizes all zone heights for consistency, and embeds a live statistical engine inside every zone to provide a quantifiable, data-driven edge.
🧠 Live Statistical Engine — This is not a static score. Every OB zone displays live, data-driven statistics computed from a rolling historical accumulator. Each label shows the Win Rate, Probability of Touch, Average Win/Loss Bars, R:R Ratio, and the critical Expected Value (EV) of that specific OB type, giving you an instant statistical edge.
🎯 Displacement-Confirmed OBs — The engine doesn't just mark swing points. It validates each OB by requiring a powerful move away from the candle — a "displacement" — that is a user-defined multiple of the current ATR. This filters out weak or insignificant zones and focuses only on OBs that have demonstrated true market-moving intent.
🎨 ATR-Normalized Zones — Eliminates visual noise from inconsistent zone sizes. This feature forces every OB zone to a uniform, ATR-based height (e.g., 0.75x ATR). This provides a clean, consistent chart and allows for a more objective analysis of price interaction with zones of equal significance.
📊 Historical Zone Plotting — Mitigated doesn't mean forgotten. A toggleable option allows you to see all past, mitigated OBs as faded, non-intrusive zones on your chart. This provides a complete historical footprint of where the market has reacted, allowing for deeper analysis of legacy price structures.
✅ Full-History Accumulator — The statistical engine's credibility comes from its depth. On every bar, it simulates the outcome of every valid OB across the chart's full history, constantly feeding the win/loss accumulator. The stats you see are robust and based on a large sample size — not just the last few signals.
🔧 Fully Customizable — Control every aspect of the engine, including the Swing Detection Length, Displacement ATR Multiplier, TP/SL ATR ratios, and the colors/visibility of Bullish, Bearish, and Historical zones.
🔬 Why this algo is unique: Standard Order Block indicators are subjective — often just drawing boxes on the last up/down candle before a swing, with no statistical proof of edge. The Manus OB Stats Engine transforms this subjective tool into an objective, quantitative trading instrument. It doesn't just show you a zone; it shows you the historical performance and statistical probability of that zone working out, based on thousands of back-tested examples on the exact chart you are viewing.
🌐 Apply to Gold (XAUUSD), Indices (US30, NAS100), Forex Majors, and Crypto on M30, H1, or H4 timeframes. The engine is designed for assets and timeframes that exhibit clear swing structures and respect supply/demand dynamics.
🗂️ How to use this? The most critical metric is the Expected Value (EV). A positive EV indicates a statistical edge over the long term. Consider only taking trades from zones with a positive EV and a Win Rate that aligns with your risk tolerance. For higher-probability setups, align your trades with the prevailing higher-timeframe trend.
⚙️ IMPORTANT NOTICE: This indicator is a professional-grade tool designed to identify a statistical edge. It should NOT be used as a standalone signal for entering trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk. Indicator
Gold Master Hybrid V1 UltraGold Master Hybrid V1 Ultra - The Ultimate Multi-Confluence Trading System
Welcome to the Gold Master Hybrid V1 Ultra, a state-of-the-art, all-in-one trading indicator engineered strictly for serious traders. Built upon a robust 8-Point Multi-Confluence Engine, this indicator bridges the gap between traditional momentum oscillators and modern institutional Smart Money Concepts (SMC).
Whether you are a day trader looking for precise intraday entries or a swing trader aiming to ride massive trend waves, the Gold Master Hybrid acts as your personal, noise-filtering trading assistant. It doesn't just give you raw buy and sell arrows; it evaluates the entire market spectrum—from volatility and volume to deeply embedded institutional price action—before calculating dynamic, mathematically sound targets.
The Core Philosophy
The financial markets are filled with noise. Most standard indicators fail because they evaluate only one dimension of the market (like momentum or trend) and end up printing false signals during ranging or choppy environments.
The Gold Master V1 Ultra solves this by requiring actual "Confluence". Before any signal is generated, our proprietary engine interrogates the market using eight distinct parameters. Only when the absolute majority of these stars align does the indicator grant a "Confirmed Signal."
The Engine - 8 Point Multi-Confluence
The core of the indicator assigns a Score (out of 8) to every single candle based on the following criteria. It asks 8 strict questions:
1. Price vs EMA: Is the current Close Price trading above the fast EMA 9? This ensures short term momentum is heavily in our favor.
2. Moving Average Trend Validation: Has the EMA 9 crossed above the EMA 21 (Bullish Cross)? This validates a structural shift in momentum.
3. Macro Trend Filter: Is the current asset trending above the 50-period Simple Moving Average? We never want to trade against the medium-term trend.
4. RSI Strength: Is the Relative Strength Index (RSI 14) residing in the "Healthy Bullish" zone (between 50 and 70)? If it is below 50, it is weak. If it is above 70, it is overbought. The sweet spot is 50 to 70.
5. MACD Confirmation: Is the MACD line actively leading above its Signal line?
6. Stochastic Filter: Is the Stochastic %K line crossing above the %D line while explicitly avoiding the "Overbought" (>80) extreme?
7. Institutional Volume Surge: Is the current volume surging to at least 1.5x the 20-period moving average volume? This detects big institutional involvement that is required to move the market.
8. SMC Trend Matrix: Is the broader Market Structure currently Bullish? Has it printed an upward Break of Structure recently?
Signal Grading:
- Strong Signal (Score >= 6): An incredibly high-probability setup where the trend, momentum, volume, and structure are perfectly synchronized. Printed as a prominent Triangle marker (Lime for BUY, Red for SELL).
- Weak Signal (Score 4 or 5): A moderate continuation or early-warning setup. Printed as smaller triangles (Teal for Buy, Orange for Sell).
Advanced Signal Noise Reduction
We hate chart clutter. To keep your charts clean and your mind focused, the Gold Master V1 Ultra includes two built-in noise-canceling filters:
Filter 1: Consecutive Confirmation Lock
A signal condition must physically hold and mathematically close for two consecutive candles. This completely annihilates 1-candle fakeout spikes that ruin most strategies.
Filter 2: Strict Cooldown Buffer
Once a signal is printed, the indicator enters a strict 5-candle cooldown phase. During this time, it will completely ignore minor fluctuations and will not print duplicate signals of the same type. This ensures massive readability on any timeframe, avoiding the common issue of printing 5 arrows in a row during a ranging period.
Integrated Smart Money Concepts (SMC)
You no longer need five different indicators on your chart to find institutional levels. The Gold Master handles advanced institutional mapping automatically in the background:
- Market Structure Pivot Labels: Automatically draws Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) so you never lose track of structure.
- BOS & CHoCH: Dynamically plots Break of Structure and Change of Character lines to help you anticipate trend exhaustion or continuation without having to draw trendlines yourself.
- Order Blocks (OB): Scans historical price action to plot highly accurate Bullish (Teal) and Bearish (Red) Order Block zones where banks left pending limit orders.
- Fair Value Gaps (FVG): Instantly highlights market imbalances (FVG+ and FVG-) so you know exactly where price is likely to be magnetized next to fill liquidity voids.
Dynamic Risk Management System (TP & SL)
Stop guessing where to take profit or place your stop. The Gold Master Hybrid V1 Ultra utilizes a custom Average True Range (ATR) algorithm to auto-calculate your trade parameters the instant a Strong Signal appears.
- Dynamic Stop Loss (SL): Placed at exactly 1.5x ATR away from the wick of the signal candle. It adapts to current market volatility to protect you from getting wicked out during high-impact news.
- Take Profit 1 (TP1): Set at 2.0x ATR from your entry. Optimized for safe, high-win-rate scalps.
- Take Profit 2 (TP2): Set at 3.5x ATR from your entry. Optimized for capturing the true meat of the trend.
The Golden R:R Safety Protocol:
Before drawing the SL/TP lines on your chart, the indicator internally calculates the Risk-to-Reward ratio. If the setup doesn't offer at least a 1:1.5 reward-to-risk ratio (based on historical volatility), the indicator completely hides the targets. It is effectively telling you: "This trade is too mathematically risky, skip it." This forces you to be a disciplined trader.
The Command Center Dashboard
At the corner of your chart (Top-Right by default, completely movable in the settings), sits your real-time Command Center. It aggregates all critical data from the indicator into one beautiful UI panel so you never have to look at subcharts:
- Real-time Value Tracking: See the exact status of your EMA, RSI, MACD, and Volume.
- Current Signal Score: Instantly know if the current candle is scoring a 3/8, 5/8, or a perfect 8/8 before the signal even fires.
- Exact Pricing: Displays the precise price coordinates for TP1, TP2, and your SL so you can immediately copy them into your broker.
- R:R tracking: See the exact live Risk-to-Reward ratio of the current setup.
- Time Session Matrix: Know instantly if you are trading in the high-volume London, New York, or Asian session, or if you are in the dead hours.
User Guide - How to Execute Trades
1. Reading the Macro Trend Background
Look closely at the entire background color of your chart. The Gold Master will tint the background Teal if the absolute macro trend is Bullish, and Red if it's Bearish.
Rule #1: Only take Strong BUY signals when the background is Teal. Never trade against the macro trend.
2. The Golden Setup (Finding Institutional Confluence)
A Strong Signal alone is great. But a Strong Signal that prints exactly inside an auto-drawn Bullish Order Block or inside a Fair Value Gap (FVG+) is a "God-Tier" setup. You want to layer the confluences. If your Buy signal happens right as price touches the demand zone, that is your highest probability entry.
3. Wait for the Candle to Close
Because the engine relies on a 2-candle confirmation filter, you must wait for the current candle to mathematically close before considering the signal valid. Do not enter a trade while the candle is still moving.
Pro-Tip: Use PulseWire's alert system and set the condition to "Once Per Bar Close" to let the indicator notify your phone automatically when a valid, locked-in signal has occurred.
4. Execution and SL/TP Placement
When a Buy signal flashes and you take the trade, immediately look at the dashboard (or the lines drawn on the chart) and place your Stop Loss exactly where the red line tells you to. Place your Take Profit at the green TP1 or TP2 line depending on your risk appetite. Do not move your Stop Loss arbitrarily—the ATR calculation placed it there for a mathematical reason.
5. Customizing to Your Specific Asset
Every asset breathes differently. Gold (XAUUSD) moves differently than EURUSD, which moves differently than Bitcoin.
If you are trading extremely volatile Crypto, go into the indicator settings (click the gear icon next to the indicator name) and increase the "ATR Multiplier (SL)" from 1.5 to 2.0 to give your trades more breathing room.
If you are scalping the 1-minute chart, you might want to reduce the TP1 multiplier to 1.5. You can customize every aspect visually from the settings menu without touching the code.
6. Dashboard Movement
If the dashboard is blocking your view of current price action, click the gear icon settings for the indicator, go to the "Dashboard" section, and switch the "Dashboard Position" from Top Right to Top Left, Bottom Right, or Bottom Left.
Conclusion
The Gold Master Hybrid V1 Ultra is not a magic wand, but it is one of the strictest, most logical institutional trading systems available today. By forcing you to wait for 8 points of confluence, keeping your charts clean, calculating ATR-based risk management, and preventing you from taking terrible R:R trades, it physically forces you to trade like an institution rather than an emotional retail trader.
(Disclaimer: Trading financial markets involves significant risk. The Gold Master Hybrid V1 Ultra is a highly advanced analytical tool designed to assist your decision-making, but it does not constitute financial advice. Always test strategies on a demo account before risking real capital.) Indicator
VWAP Rejection + CISD AlertVWAP Rejection + CISD Alert — Full Backtest Table + Entry Time Window
This powerful intraday ICT-style indicator automatically detects high-probability VWAP Rejection + CISD setups and gives you everything you need to trade them with precise risk management.
Strategy Rules (all must align):
VWAP Rejection: Candle body fully above VWAP (bullish) or below VWAP (bearish) with a wick touching VWAP.
CISD Confirmation: Strong reversal candle after minimum consecutive opposite candles (default 2), breaking the prior high/low, and occurring within max bars after rejection (default 2).
Extra Filters:
CISD candle must open above VWAP (longs) or below VWAP (shorts).
CISD candle must close above/below your chosen Moving Average (SMA/EMA/WMA/VWMA – fully adjustable).
Entry: At the open of the very next candle after CISD confirmation.
Stop Loss: Choose between:
Open of the CISD candle (original)
Extreme wick of the VWAP rejection candle (low for longs / high for shorts)
Take Profit: User-defined multiplier (default 2R) from entry.
Visuals & Tools:
Small REJ↑ / REJ↓ labels on rejection candles
Large lime/fuchsia CISD↑ / CISD↓ triangles on confirmation
Detailed ENTRY LONG/SHORT labels showing exact Open, SL, and TP prices
Horizontal lines (Entry dashed blue, SL red, TP green) starting at the CISD candle and automatically stopping when price hits SL or TP
Yellow TP and Blue SL hit triangles marking exact exit candles
Live Performance Table (top-right) showing:
Total Trades
Wins / Losses
Win Rate %
Current TP Multiplier
Key Inputs:
CISD Settings: Min consecutive candles, Max bars after rejection
Risk Management: TP Multiplier, SL Placement (2 options)
Moving Average Filter: Length + Type (SMA/EMA/WMA/VWMA)
Time Filter: Entry Time Window (default 8:00–11:00 AM EST)
Visual toggles for labels, lines, and CISD shapes
Alerts:
Set alerts on “CISD Confirmed → LONG Setup” or “SHORT Setup”.
Alerts fire the moment the CISD candle closes — perfect timing to enter at the next open.
Ideal for 1m–15m charts on indices, forex, and futures. Combines classic VWAP rejection with ICT CISD concepts plus strict filters for cleaner, higher-probability trades. Indicator
Pattern Recognition Signals | ProjectSyndicatePattern Recognition Signals automatically identifies and validates high-probability, non-repainting Double Top and Double Bottom patterns. It filters for structural quality, calculates adaptive take-profit and stop-loss zones based on Average Daily Range (ADR), and presents a complete statistical breakdown on a non-intrusive dashboard to provide a quantifiable edge.
🧠 NRP Multi-Wave Detection — identifies classic Double (W/M) and Triple (W/M) patterns using a non-repainting pivot engine, ensuring signals are confirmed and stable.
🎯 ADR-Adaptive TP/SL Zones — automatically calculates and plots TP1, TP2, and SL zones based on a percentage of the 10-day ADR, allowing the strategy to dynamically adapt to any asset's volatility.
🎨 Direction-Matched Colors — Bullish pattern labels are colored green to match the TP zones, and Bearish labels are colored red to match the SL zone, providing instant visual confirmation of trade direction.
📊 Full Performance Dashboard — provides a complete statistical overview, including the real-time ADR10 value, total signals, win rates for TP1/TP2, and a log of the last 10 trade outcomes.
✅ Advanced Quality Control Filters — user-configurable inputs for Max Pattern Bars, Max Pattern Height (% of ADR10), and Min Bars Between Signals eliminate low-quality or excessively large patterns and prevent over-signaling.
🔔 Comprehensive Alerts — get a single, detailed alert per signal—including the symbol, timeframe, entry price, SL, TP1, and TP2—formatted for easy integration with automated trading systems.
🔧 Fully Customizable — control everything from pivot lengths and pattern quality filters to the colors and extension of all zones, labels, and dashboard elements.
🎯 Why this algo is unique: Standard ZigZag and pattern indicators are notorious for repainting and providing subjective signals with no statistical backing. This algorithm provides an objective, fully-gated, non-repainting signal engine. It doesn’t just draw a pattern; it builds a complete, quantifiable trading framework around it with adaptive risk management (ADR-based zones) and a dashboard to prove its historical performance on the chart you are trading.
🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any M5/M10/M15/M30/H1. The ADR-based system and extensive quality filters allow it to adapt to anything from M5 scalping to H4 swing trading.
🎯 How to use this? Use the dashboard to understand the strategy's recent performance on the current asset/timeframe. Adjust the TP/SL and pattern filter percentages to match your risk tolerance. Consider taking trades that align with the higher-timeframe trend for higher probability setups.
⚠️ IMPORTANT NOTICE: This indicator is designed to identify statistically-backed pattern signals. It should NOT be used as a standalone signal for entering trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk. Indicator
SmartTrend Pro [WillyAlgoTrader]📡 SmartTrend Pro is an overlay indicator built around a custom trend detection algorithm — the Adaptive Volatility Trend Engine (AVTE) — that replaces the standard Supertrend approach with Ehlers Super Smoother filtering and Kaufman adaptive ATR bands. Every trend flip is scored by a multi-factor confluence system (0–100) before becoming a signal. The result is a trend-following tool that adapts to current volatility conditions, filters out low-confidence entries, and provides dynamic TP/SL levels — all with full anti-repaint protection.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A traditional Supertrend uses a simple moving average of True Range to calculate bands. This works in steady markets but produces false signals during volatility spikes and misses early reversals during compression. SmartTrend Pro replaces every component of this pipeline with an adaptive alternative, creating a system where each stage feeds the next:
Ehlers-filtered price → Kaufman-adaptive ATR → Volatility bands → Trend direction → Confluence scoring → Filtered signal → Risk levels
The Ehlers Super Smoother removes high-frequency noise from the price before the trend bands are calculated — this prevents the trend engine from reacting to random wicks. The Kaufman adaptive ATR widens bands when volatility is real (sustained directional movement) and tightens them during choppy, low-efficiency conditions — making the trend change threshold automatically adjust. The confluence scoring system then evaluates each trend flip against five independent market factors before allowing the signal to fire. And the TP/SL system freezes its risk distance at entry (using the ATR at signal time) so targets don't drift as volatility changes post-entry.
No single component here is sufficient on its own. An Ehlers filter without adaptive bands still produces false crossovers. Adaptive bands without scoring still trigger on weak trend flips. Scoring without frozen TP/SL creates drifting targets. The integrated pipeline solves all three problems simultaneously.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Adaptive Volatility Trend Engine (AVTE) — custom trend algorithm.
The AVTE replaces the standard Supertrend calculation at every stage:
Stage 1 — Price filtering: Instead of using raw price, the AVTE applies an Ehlers 2-pole Super Smoother to the source. The Ehlers filter uses the transfer function:
ss = c1 × (src + src ) × 0.5 + c2 × ss + c3 × ss
where c1 = 1 − c2 − c3, c2 = 2a × cos(√2 × π / period), c3 = −a², and a = exp(−√2 × π / period). This produces zero-lag frequency-domain filtering — it removes high-frequency noise without the phase distortion that a simple moving average introduces. The filter period is derived from the ATR period (ATR_period / 2, minimum 3).
Stage 2 — Adaptive volatility measurement: Instead of a fixed-length ATR, the AVTE uses a Kaufman Adaptive ATR. First, a standard ATR(period) is calculated. Then the Kaufman Efficiency Ratio (ER) is computed: ER = |close − close | / sum(|close − close |, period). The ER measures how much net directional movement exists relative to total path traveled — ranging from 0 (pure chop) to 1 (clean trend). The ER then modulates a smoothing constant: sc = (ER × (fast − slow) + slow)², where fast = 2/3 and slow = 2/31. The adaptive ATR blends: aATR = aATR + sc × (rawATR − aATR ). In trending conditions (high ER), the adaptive ATR reacts quickly to volatility changes. In choppy conditions (low ER), it smooths aggressively, preventing false band expansions.
Stage 3 — Band calculation and trend direction: Upper band = filtered_price + sensitivity × adaptive_ATR. Lower band = filtered_price − sensitivity × adaptive_ATR. Bands ratchet in the trend direction: the lower band can only rise (never fall) during uptrends, the upper band can only fall during downtrends. When close crosses above the upper band, trend flips bullish. When close crosses below the lower band, trend flips bearish. The trend line follows the lower band in uptrends, upper band in downtrends (step-line visualization).
The Sensitivity parameter (default 2.5) controls how far the bands sit from filtered price. Lower = tighter bands, more signals, faster reaction. Higher = wider bands, fewer signals, smoother.
2️⃣ Multi-confluence scoring system (0–100).
Every AVTE trend flip is evaluated against five independent market factors before becoming a signal:
Factor 1 — EMA alignment (±15 pts): Checks whether close > EMA(50) > EMA(200) for bullish alignment, or close < EMA(50) < EMA(200) for bearish. Full alignment = +15 (bull) or −15 (bear). No alignment = 0. This confirms the trend flip aligns with the broader trend structure.
Factor 2 — RSI position (±10 pts): RSI(14) between 50–70 = +10 (bullish momentum without overextension). RSI 30–50 = −10 (bearish). Extremes (>70 or <30) score 0 — avoiding signals at overbought/oversold levels where reversals are more likely.
Factor 3 — MACD histogram direction (±12 pts): MACD(12,26,9) histogram > 0 and rising = +12 (accelerating bullish momentum). Histogram < 0 and falling = −12 (accelerating bearish). This captures momentum acceleration, not just direction.
Factor 4 — Volume confirmation (0–8 pts): Volume > 20-period SMA × 1.2 = +8. This confirms institutional participation. Auto-disabled on instruments without volume data (forex).
Factor 5 — ADX strength (0–10 pts): ADX(14) > 25 = +10, ADX > 20 = +5. Confirms the market is trending, not ranging.
The base score starts at 50. Bullish factors add, bearish factors subtract. Final score is clamped to 0–100. A buy signal fires when the AVTE flips bullish AND score ≥ Min Signal Score (default 55). A sell signal fires when AVTE flips bearish AND score ≤ (100 − Min Signal Score), creating symmetric thresholds around 50. Signals with score ≥ 75 (buy) or ≤ 25 (sell) are classified as "Strong" and receive a distinct label.
3️⃣ Ehlers Super Smoother trend cloud.
A dual-band cloud system using two Ehlers Super Smoothers at different periods. The fast period depends on the Cloud Style setting:
— Adaptive: auto-adjusts between 13 and 55 based on current volatility — calculated as 34 × (1 + stdev(close, 20) / adaptive_ATR × 0.5)
— Fast: fixed at 21 (tight cloud for scalping)
— Smooth: fixed at 55 (wide cloud for swing)
— Minimal: fixed at 34 (single line, no fill)
The slow period = fast period × 2.618 (golden ratio). Cloud is bullish when fast > slow (green fill), bearish when fast < slow (red fill). The AVTE step-line is overlaid on the cloud for immediate trend-direction clarity. An optional trend tracer (EMA, default 233-period) provides institutional-level long-term bias.
4️⃣ Four-preset system with parameter scaling.
Presets modify three core parameters simultaneously using multipliers:
— Conservative : sensitivity × 1.4, ATR period × 1.3, min score floor 70 — fewer but higher-quality signals, for swing trading
— Balanced : no modification — default parameters, good for 15M–4H
— Aggressive : sensitivity × 0.7, ATR period × 0.8, min score ceiling 45 — more signals, faster entries
— Scalping : sensitivity × 0.5, ATR period × 0.6, min score ceiling 40 — optimized for 1–5M, tightest bands
Each preset adjusts the effective sensitivity, ATR length, and minimum score threshold proportionally, so one selection adapts the entire signal pipeline rather than requiring manual tuning of individual parameters.
5️⃣ Dynamic TP/SL with frozen risk distance.
Three stop-loss modes:
— ATR : SL distance = adaptive ATR × configurable multiplier (default 1.5×)
— Percentage : SL distance = fixed percentage of entry price
— Structure : SL distance = half the recent swing range (highest high − lowest low over swing lookback)
TP levels are calculated as multiples of SL distance: TP1 = SL × 1.5 (default), TP2 = SL × 2.5, TP3 = SL × 4.0. The SL distance is frozen at entry — once a signal fires, the risk distance is locked and does not change with subsequent volatility. This prevents TP/SL levels from drifting as ATR changes post-entry. TP hit markers (×) appear on the chart as each level is reached. An optional Chandelier Exit trailing stop follows price using the ATR multiplier, ratcheting in the profit direction.
6️⃣ Pullback signals within established trends.
In addition to trend-flip signals, the indicator detects pullback entries within an existing trend:
— Bullish pullback: AVTE trend is bullish (no flip), price retraces to EMA(pullback_sensitivity × 3), RSI(pullback_sensitivity) drops below 35 then starts rising — catching the bounce off trend support
— Bearish pullback: AVTE trend is bearish, price rallies to EMA, RSI exceeds 65 then starts falling
Pullback signals appear as small circles (distinct from the main Buy/Sell labels), providing additional entries within a confirmed trend direction. They are bar-close confirmed and warmup-protected.
7️⃣ Volatility gauge with statistical normalization.
The dashboard displays a real-time volatility reading (0–100%) calculated as: gauge = (ATR(10) − (SMA(ATR, 20) − StDev(ATR, 20))) / (2 × StDev(ATR, 20)) × 100, clamped to 0–100. This measures where current volatility sits relative to its recent statistical distribution: > 70% = High (above 1 standard deviation), 40–70% = Medium, < 40% = Low. This helps you assess whether the current environment suits your strategy: high volatility favors wider stops and fewer signals, low volatility favors tighter approaches.
8️⃣ Multi-timeframe trend panel (non-repainting).
The dashboard includes an MTF panel showing trend direction on 5M, 15M, 1H, 4H, and 1D — using close > EMA(200) with lookahead_on for guaranteed non-repainting. When most timeframes align in one direction, trend-flip signals in that direction have higher confluence.
9️⃣ Session detection.
The dashboard shows the current active trading session: Tokyo, London, New York, Sydney, or overlaps (London/New York, Tokyo/London). Sessions are calculated using UTC-based time windows. This helps you contextualize volatility: London/New York overlap is typically the highest-volume period, while off-hours have thinner liquidity.
🔟 Four optional filters.
Each filter can be independently toggled:
— Trend filter : only signals aligned with the Ehlers cloud direction
— Volume filter : only signals with volume EMA(10) > EMA(25) — auto-disabled for instruments without volume
— ADX filter : only signals when ADX > 20 (trending market)
— Momentum filter : only signals with MACD histogram aligned (positive + rising for buys, negative + falling for sells)
All filters default to Off — enabling them progressively reduces signal frequency while increasing average quality.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Ehlers filtering: Source price is passed through the 2-pole Super Smoother with period = max(round(ATR_period / 2), 3). This removes intrabar noise while preserving trend structure.
Step 2 — Adaptive ATR: Kaufman Efficiency Ratio is calculated over the ATR period. The ER modulates the smoothing speed of ATR: trending conditions → fast adaptation, choppy conditions → slow adaptation.
Step 3 — Band construction: Upper = filtered_price + sensitivity × adaptive_ATR. Lower = filtered_price − sensitivity × adaptive_ATR. Bands ratchet: lower band can only rise in uptrends, upper band can only fall in downtrends.
Step 4 — Trend detection: Close above upper band → bullish. Close below lower band → bearish. The trend line is the active band (lower in uptrends, upper in downtrends).
Step 5 — Confluence scoring: On every bar, five factors are evaluated and combined into a 0–100 score. On a trend flip bar, the score determines whether the signal qualifies.
Step 6 — Filter gate: If any enabled filter disagrees, the signal is suppressed.
Step 7 — Signal emission: Buy or Sell label appears on the confirmed bar. Score ≥ 75 / ≤ 25 → "Strong Buy/Sell".
Step 8 — TP/SL placement: Risk distance is calculated and frozen. TP1/TP2/TP3 are placed as R:R multiples. Labels persist on the right side of the chart. Hit markers appear as each level is reached.
📖 HOW TO USE
🎯 Quick start:
1. Select a preset matching your style: Scalping (1–5M), Balanced (15M–4H), Conservative (4H–1D)
2. Add the indicator to your chart — the AVTE trend line and cloud appear immediately
3. Wait for a Buy or Sell label — the score next to it tells you the confluence quality
4. Check the dashboard: trend direction, score, market state (trending/ranging), volatility, session
5. TP/SL levels appear automatically — manage the trade using the marked levels
👁️ Reading the chart:
— 🟩 Green cloud fill = bullish trend (Ehlers fast > slow)
— 🟥 Red cloud fill = bearish trend
— Step-line on the cloud = AVTE trend boundary (the level that must break for a trend flip)
— 🟢 "Buy" / "Strong Buy" label below bar = confirmed bullish signal
— 🔴 "Sell" / "Strong Sell" label above bar = confirmed bearish signal
— 🟢 Small circle below bar = pullback buy (trend continuation entry)
— 🔴 Small circle above bar = pullback sell
— Orange line = entry price | Red line = stop loss | Green lines = TP1/TP2/TP3
— × markers = TP hit confirmations
— HH/HL/LH/LL labels (optional) = market structure swing points
📊 Dashboard fields:
— Trend: current AVTE direction (Bullish/Bearish)
— Signal: last confirmed signal (Buy/Sell/Wait)
— Score: current confluence score (0–100)
— Market: ADX-based state (Trending > 25 / Ranging > 20 / No Trend)
— Volatility: statistical gauge (High/Medium/Low with percentage)
— Session: current active session (Tokyo/London/New York/Sydney/overlaps)
— MTF Panel: 5M/15M/1H/4H/1D trend direction (close vs 200 EMA)
🔧 Tuning guide:
— Too many signals: increase Min Score, enable filters, switch to Conservative preset
— Too few signals: decrease Min Score, switch to Aggressive/Scalping, lower Sensitivity
— Signals too late: lower Sensitivity (tighter bands), use Fast cloud style
— Too many false signals: enable ADX filter (filters ranging markets), increase Min Score to 65+
— Scalping 1–5M: use Scalping preset, ATR mode SL with multiplier 1.0–1.5, TP1 R:R 1.0–1.5
— Swing 4H–1D: use Conservative preset, ATR mode SL with multiplier 2.0–3.0, TP3 R:R 5.0+
⚙️ KEY SETTINGS REFERENCE
⚙️ Main:
— Trend Sensitivity (default 2.5): AVTE band distance — lower = more signals, higher = fewer
— ATR Period (default 21): volatility measurement lookback
— Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping
📡 Signal Tuning:
— Min Signal Score (default 55): minimum confluence to trigger signals
— Strong Signals Only (default Off): only show score ≥ 75
— Show Pullback Signals (default On): trend continuation entries
— Pullback Sensitivity (default 8): retracement detection lookback
☁️ Trend Cloud:
— Cloud Style (default Adaptive): Adaptive / Fast / Smooth / Minimal
— Trend Tracer (default Off): long-term EMA bias line (default 233)
🔍 Filters (all default Off):
— Trend Filter (cloud alignment) / Volume Filter / ADX Filter / Momentum Filter
🛡️ Risk Management:
— SL Mode (default ATR): ATR / Percentage / Structure
— SL ATR Multiplier (default 1.5×) / SL Percentage (default 1.0%)
— TP1/TP2/TP3 Risk:Reward (default 1.5 / 2.5 / 4.0)
— Trailing Stop (default Off): Chandelier Exit method
— Market Structure (default Off): HH/HL/LH/LL swing labels
🎨 Visual:
— Auto / Dark / Light theme
— Bar coloring: Trend Gradient / Signal Based / Momentum / None
— Background trend shading (default Off)
📊 Dashboard:
— Position, font size, MTF panel toggle
🔔 Alerts
— 🟢 Buy / Strong Buy — ticker, price, timeframe, score
— 🔴 Sell / Strong Sell — same fields
— 🎯 TP1 / TP2 / TP3 Hit — ticker, price
— 🛑 SL Hit — ticker, price
— ☁️ Cloud Cross Bullish / Bearish — ticker, timeframe
All alerts support plain text and JSON webhook format. Bar-close confirmed.
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals require barstate.isconfirmed. TP/SL distances are frozen at entry and do not change retroactively. MTF data uses + lookahead_on for non-repainting HTF values. A warmup period (minimum 200 bars or 3× ATR period) prevents signals during insufficient data.
— 📐 The AVTE is not a standard Supertrend . It replaces every component: Ehlers Super Smoother instead of raw price, Kaufman adaptive ATR instead of fixed ATR, ratcheting bands instead of simple ±ATR. The mathematics are described in detail above.
— ⚖️ The confluence score is not a win-rate predictor . A score of 75 means five independent market factors align strongly — it measures confluence quality, not outcome probability. Use it to prioritize, not to guarantee.
— 📊 The scoring system uses standard indicators (EMA, RSI, MACD, Volume, ADX) as confluence factors , not as independent signal generators. None of these indicators alone triggers a signal — they only contribute to the score that gates an AVTE trend flip.
— 🔧 Presets modify parameters proportionally. After selecting a preset, you can still adjust individual settings — the preset sets the starting point, your adjustments override it.
— 📏 TP/SL levels are frozen at entry . The SL distance calculated at the signal bar persists until the next signal — it does not drift with changing ATR. This is by design for consistent risk management.
— 🔄 Pullback signals are continuation entries , not reversal signals. They only appear within an established AVTE trend and require RSI reversion from oversold/overbought — catching bounces off trend support/resistance.
— 🛠️ This is a signal and analysis tool , not an automated trading bot. It generates signals, scores them, and visualizes TP/SL — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. Volume filter auto-disables on instruments without volume data. Indicator
Strict 1-Trade/Day SMC + ORB This is a trend-continuation strategy designed to capture intraday volatility after the initial market direction is established. It combines Price Action (Opening Range) to define the bias and SMC mechanics (CHoCH + FVG) for precise entries.
The strategy strictly limits trading to one high-probability setup per day to combat overtrading.
Key Components
1.The Setup (Opening Range)The strategy ignores the first 15 minutes of the Regular Trading Session (9:30 AM - 9:45 AM EST). The high and low of this period establish the Opening Range (OR).Bullish Bias: Price breaks above the Opening Range High (ORH).Bearish Bias: Price breaks below the Opening Range Low (ORL).
2. Entry Trigger (CHoCH + FVG)Once the bias is established, the strategy waits for a retracement to create a Change of Character (CHoCH) on a lower timeframe, coupled with a Fair Value Gap (FVG).
Long Entry: Price breaks above the most recent swing high (CHoCH) and leaves a gap between the low of the current candle and the high of the candle two bars prior (Bullish FVG).
Short Entry: Price breaks below the most recent swing low (CHoCH) and leaves a gap between the high of the current candle and the low of the candle two bars prior (Bearish FVG).
3. Risk Management & Exit Strategy Risk is defined immediately based on the opening range. Stop Loss: Placed at the opposite side of the Opening Range ($1R$ Risk).Initial Take Profit ($2R$): The first target is set to two times the range of the opening 15 minutes ($2R$).Immediate Trailing Stop (ATR): Immediately upon entry, a trailing stop loss based on $4 \times$ Average True Range (ATR) is activated to protect capital against sudden reversals. Advanced Management (Partial Exit): If the trade reaches $1R$ profit, or if the $10$ SMA crosses the $20$ SMA in the opposite direction of the trade, $50\%$ of the position is closed. Break-Even Move: If the position is still open $3$ hours after entry, the stop loss is moved to the entry price to guarantee a risk-free trade.
best result on nq last 30days 59 trades, P/L +50%, max drawdown 10%, 67% win rate(40/59), profit factor 3.1.
To ensure this strategy holds up under different market conditions, it is crucial to backtest it over a long timeframe (e.g., at least 2–3 years of data) to see how it handles both trending and choppy markets in NQ and ES.
Once you have tested it, please share your results, specifically for: Total Net Profit, Max Drawdown, Profit Factor, Win Rate. Appreciate it and thanks. Strategy
Smart Money Gold Map [XAUUSD Kill Zones + Liquidity Sweeps]An all-in-one session mapping and market structure overlay designed specifically for XAUUSD. Combines kill zone timing, Asian range liquidity sweeps, and dynamic psychological levels into a single clean tool.
No repainting. The green and red diamonds mark Asian range liquidity sweeps, not direct buy/sell signals. They highlight where smart money grabbed liquidity so you can build your own trade thesis around them.
🔶 SESSION KILL ZONES
Highlights the two most important windows for gold trading:
• London Kill Zone (07:00-10:00 GMT) where the majority of gold's daily range gets established
• NY AM Kill Zone (12:00-15:00 GMT) for US macro data and continuation/reversal of London
Blue and purple backgrounds with "LDN" and "NY" labels at each session open so you always know where you are in the trading day.
🔶 ASIAN RANGE + LIQUIDITY SWEEPS
The Asian session (22:00-06:00 GMT) defines the overnight consolidation range that London and NY will target. The indicator:
• Draws the Asian range as a box on your chart
• Detects when price sweeps the Asian high/low and reverses back inside
• Marks each sweep with a diamond (green = low swept, red = high swept)
• Fires once per sweep per day to keep the chart clean
Gold consistently respects this pattern because institutional stops cluster at Asian session extremes. If you trade ICT or SMC concepts, this is the setup you're already looking for.
🔶 PSYCHOLOGICAL LEVELS
At all-time highs, there is no historical resistance above current price. Round numbers become the primary S/R framework. The indicator draws:
• $100 major levels as solid gold lines ($5000, $5100, $5200...)
• $50 minor levels as dashed lines ($5050, $5150, $5250...)
• Optional $25 midpoints as dotted lines for precision scalping
Levels update dynamically around current price with dollar value labels.
🔶 REAL-TIME DASHBOARD
Compact dashboard showing:
• Active session with color coding
• VWAP premium/discount
• RSI with extreme highlighting
• ATR for volatility context
• Asian range width and sweep status
• London and NY session ranges
• Nearest psych resistance + support with distance
• Zone position (near support, mid-range, near resistance)
• Volatility context: TIGHT = compressed Asian range, often followed by explosive moves during kill zones
🔶 6 BUILT-IN ALERTS
• Asian low swept (watch for long setup)
• Asian high swept (watch for short setup)
• London Kill Zone open
• NY Kill Zone open
• Price hit major psychological resistance
• Price hit major psychological support
🔶 HOW TO USE
Apply to XAUUSD on 15m, 30m, or 1H for the best session visibility.
When London KZ opens, check the dashboard. If the Asian low got swept and price is sitting at VWAP discount near a $100 psych level, you have confluence for a long setup. The indicator surfaces all of this without needing to draw a single line manually.
During NY, watch for continuation of London's direction or reversal at the next psych level. Session range lines show exactly where London established its high and low.
When the volatility read shows "TIGHT", pay extra attention. Compressed Asian ranges tend to precede big directional moves.
🔶 SETTINGS
Fully adjustable:
• Session times (set to your broker's timezone)
• Psych level steps ($100, $50, $25)
• Number of levels displayed
• All colors and visual toggles Indicator
ICT Session Zones & Sweep Signals [WillyAlgoTrader]🎯 ICT Session Zones & Sweep Signals is an overlay indicator that maps the full ICT session framework onto your chart: five configurable killzone boxes with adaptive high/low pivots, confirmed liquidity sweep signals scored by ATR-normalized wick depth, session VWAP lines, Asian session bias engine, D/W/M open and previous high/low levels, custom opening price lines, vertical timestamps, and a day-of-week label system. Everything is timezone-aware, timeframe-gated, and designed for 1m–15m intraday charts.
🏗️ Most session indicators on PulseWire draw static time boxes and stop there. This indicator builds a complete ICT session analysis environment: it tracks killzone ranges in real time, extends session pivots beyond the killzone until price sweeps them, detects and confirms the sweep with multiple filters (ATR depth, body confirmation, cooldown), scores each sweep's strength, calculates session VWAP inside each killzone for fair value reference, tracks Asian session bias, and overlays D/W/M structural levels — all in one tool with a unified dashboard.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Confirmed liquidity sweep detection with strength scoring. The core signal engine detects when price wicks beyond a session high or low and closes back inside — the classic ICT liquidity grab pattern. Every sweep must pass four filters before becoming a signal:
— 📏 ATR depth filter : the wick beyond the pivot must exceed a configurable ATR multiple (default 0.1×) — filtering out insignificant touches
— 🕯️ Body confirmation : close must be beyond the candle body midpoint in the rejection direction (bullish sweep: close in upper half; bearish: close in lower half) — confirming genuine rejection, not just a wick
— ⏱️ Cooldown filter : minimum bars between sweeps from the same session (default 3) — preventing rapid-fire signals from the same pivot
— ✅ Bar-close confirmation : all sweeps require barstate.isconfirmed — no intrabar repainting
Each confirmed sweep receives a strength score based on wick depth as an ATR multiple: Strong (≥ 0.5× ATR), Medium (≥ 0.2×), or Weak (< 0.2×). The score and strength appear in the label tooltip and on the dashboard.
2️⃣ Intelligent pivot lifecycle management. Session high/low lines are not static — they follow a lifecycle:
— 🟢 Created at session start with the first bar's high/low
— 📈 Updated during the session as new highs/lows form
— ➡️ Extended beyond the session until swept or invalidated
— 🎯 Swept: wick beyond + close back inside → sweep signal fires
— ❌ Invalidated: only when price closes decisively beyond the level (not just a wick touch) — preventing premature pivot death from intrabar noise
— 🔄 Mode option: "Until Swept" (pivot disappears after sweep) or "Always" (pivots extend indefinitely for historical reference)
3️⃣ Session VWAP (volume-weighted average price per killzone). Unlike the simple midpoint between session high and low, the session VWAP accumulates close × volume inside each killzone, providing the true volume-weighted fair value for that session. The VWAP line extends beyond the session end, serving as a more accurate equilibrium reference than the midpoint. This is especially useful on instruments with uneven volume distribution within a session.
4️⃣ Asian session bias engine. The dashboard continuously shows the Asian bias state: Bullish (price above Asia high), Bearish (price below Asia low), or Neutral (inside range). This directly implements the ICT concept that the Asian range sets the liquidity pool for London and NY sessions — if price is above Asia high, London/NY are expected to seek downside liquidity, and vice versa.
5️⃣ Five fully customizable killzones. Each killzone has independently configurable:
— Session name, time window, and color
— High/Low pivot label text (e.g., "AS.H" / "AS.L")
— Enable/disable toggle
Default zones cover the standard ICT framework: Asia (20:00–00:00), London (02:00–05:00), NY AM (09:30–11:00), NY Lunch (12:00–13:00), NY PM (13:30–16:00). All times follow the selected timezone. You can modify any zone to match your specific session definitions.
6️⃣ D/W/M structural levels with break alerts. The indicator tracks and draws:
— 📅 Daily / Weekly / Monthly opening price lines
— 📊 Previous Day High/Low (PDH/PDL), Previous Week High/Low (PWH/PWL), Previous Month High/Low (PMH/PML)
— 📍 Vertical day/week/month separators
Each level extends across the chart with configurable style and width. Break alerts fire when price closes above PDH, below PDL, above PWH, below PWL, above PMH, or below PML — six structure-level alerts in addition to sweep alerts.
7️⃣ Custom opening price lines and vertical timestamps. Four configurable opening price slots let you mark any specific time's opening price (e.g., True Day Open at 00:00, 06:00 open, 10:00 open, 14:00 open). Four vertical timestamp slots add time-of-day vertical lines (e.g., 08:00 London open, 10:00 macro time, etc.). All follow the selected timezone and are trimmed by session history.
8️⃣ Killzone range comparison table. An optional range table shows each killzone's current range (high − low) alongside its N-session average range. This helps you identify when a session is extended beyond its typical range (potential exhaustion) or still compressed (potential expansion ahead).
9️⃣ Comprehensive dashboard. The info panel shows:
— 🔵 Active session name (with overlap count when multiple sessions are active simultaneously)
— 📊 Asian session bias (Bullish / Bearish / Neutral)
— 🎯 Last sweep type, session, and strength with ATR score
— 📈 Total sweep counts (bullish / bearish)
— ⏱️ Current timeframe and symbol
— 🏷️ Indicator version
🔟 Full timezone support with 35+ timezone options. All session calculations use a single timezone setting. Options include named timezones (America/New_York, Europe/London, Asia/Tokyo, etc.) and GMT offsets (GMT-12 through GMT+12). This ensures killzone boxes, pivot times, opening prices, and timestamps all align correctly regardless of your broker's server time.
⚙️ HOW IT WORKS
🏗️ Killzone box creation:
On each bar, the indicator checks whether the current time falls inside each enabled killzone using the configured session string and timezone. When a session starts (current bar inside, previous bar outside), a new box is created with the bar's high/low. During the session, the box expands to encompass the full range. Pivot lines (high/low) are created at session start and updated as new extremes form. Session VWAP accumulates close × volume and updates on each bar.
🎯 Sweep detection:
After a session ends, the pivot lines continue extending on each bar. On every confirmed bar, the indicator checks: does the wick exceed the pivot level? If yes, it evaluates four conditions: ATR depth threshold met, close back inside the level, body confirmation (close in correct half of candle), and cooldown since last sweep from this session. Only if all four pass does the sweep signal fire. The pivot is invalidated (stops extending) only when price closes decisively through the level — not on a wick touch alone.
📊 Sweep strength:
Wick depth beyond the pivot is divided by ATR(14) to produce a dimensionless score. Strong ≥ 0.5×, Medium ≥ 0.2×, Weak < 0.2×. The score appears in the signal tooltip and on the dashboard, helping you prioritize higher-quality sweeps.
📏 Session VWAP:
Inside each killzone, the indicator accumulates sum(close × volume) and sum(volume). VWAP = numerator / denominator. The line updates on each bar during the session and extends beyond session end as a reference level. Volume is floored at 1.0 to handle instruments with zero reported volume.
🔄 Asian bias:
The dashboard reads the Asia session's most recent high and low pivot levels. If the current close is above Asia high → Bullish. Below Asia low → Bearish. Inside the range → Neutral. This updates in real time.
📅 DWM levels:
On each D/W/M timeframe change, the indicator stores the previous period's high and low, then draws horizontal lines at those levels. Lines extend forward on each bar. Break detection fires alerts when price closes above the high or below the low for the first time since the period change.
📖 HOW TO USE
🎯 Recommended setup:
— ⏱️ Timeframe: 1m–15m — the indicator auto-hides on timeframes ≥ the TF Limit setting (default 30m). Session zones and sweeps are most meaningful on intraday charts.
— 🌐 Timezone : set to your exchange or broker timezone for accurate killzone alignment. For ICT concepts, America/New_York (EST/EDT) is the standard reference.
— 📦 Session History (default 3): controls how many past sessions' boxes and pivot lines remain on chart. Increase for more context, decrease for cleaner charts.
👁️ Reading the chart:
— 📦 Colored boxes = killzone time windows (Asia blue, London red, NY AM green, NY Lunch yellow, NY PM purple)
— ─── Horizontal lines extending from boxes = session high/low pivots (active until swept or invalidated)
— ··· Dotted lines = session midpoints and/or VWAP
— 🟢 ▲ label below candle = confirmed bullish sweep (wick below session low + close back above)
— 🔴 ▼ label above candle = confirmed bearish sweep (wick above session high + close back below)
— Hover over sweep labels for tooltip: session name, strength, ATR score, price
🔁 ICT workflow with this indicator:
1. 🌏 Check Asian session range — note the high and low pivots
2. 📊 Read the dashboard — Asian Bias tells you the directional lean
3. 🇬🇧 During London killzone — watch for sweeps of Asian high/low pivots
4. 🇺🇸 During NY AM — watch for sweeps of London or Asian pivots
5. 🎯 When a sweep fires — check strength (Strong > Medium > Weak) and confluence with DWM levels
6. 📍 Use PDH/PDL, PWH/PWL as additional confluence — sweep + DWM level break = highest conviction
7. 🕐 NY Lunch — lower probability zone, expect consolidation
8. 🔄 NY PM — potential continuation or reversal of AM move, watch for PM pivot sweeps
🔧 Tuning sweep sensitivity:
— 🎚️ Min Sweep Depth 0.0 : any wick beyond the pivot counts (most signals, more noise)
— 🎚️ Min Sweep Depth 0.1 (default): requires 10% of ATR beyond pivot (balanced)
— 🎚️ Min Sweep Depth 0.2–0.3 : only significant wicks qualify (fewer but stronger signals)
— 🔄 Cooldown 0 : no restriction (same pivot can trigger multiple sweeps)
— 🔄 Cooldown 3 (default): minimum 3 bars between sweeps from the same session
— 🕯️ Body Confirmation On (default): filters weak wicks — recommended to keep enabled
⚙️ KEY SETTINGS REFERENCE
⚙️ Main:
— Timezone (default GMT+0): 35+ options including named and GMT offset
— Timeframe Limit (default 30m): hide all drawings on TFs ≥ this value
— Session History (default 3): number of past sessions to keep visible
📦 Killzones:
— 5 independently configurable zones: name, session time, color, enable/disable
— Box Transparency (default 80%): killzone box fill opacity
— Show Box Labels (default On): session name text inside boxes
📏 Session Pivots:
— Show Session Pivots (default On): high/low lines from each killzone
— Show Midpoints (default Off): 50% level between session high and low
— Show Session VWAP (default Off): volume-weighted average price per killzone
— Extend Pivots (default Until Swept): line stops after sweep, or "Always" for permanent extension
— Show Price on Labels (default Off): append price value to pivot label text
— Customizable pivot label text per killzone (e.g., AS.H, LO.H, AM.H)
🎯 Sweep Signals:
— Min Sweep Depth (default 0.1× ATR): minimum wick beyond pivot
— Cooldown (default 3 bars): minimum bars between sweeps from same session
— Body Confirmation (default On): require close in correct body half
📅 Day / Week / Month:
— Daily / Weekly / Monthly Open lines (each toggleable)
— Previous D/W/M High/Low lines with labels (PDH, PDL, PWH, PWL, PMH, PML)
— Day / Week / Month separator verticals
— Day-of-Week text labels (top or bottom, weekends hideable)
— Unlimited DWM Lines (default Off): override session history limit
🕐 Opening Prices:
— 4 configurable opening price slots (session time, name, color)
— Line style and width settings
📍 Timestamps:
— 4 configurable vertical timestamp slots (session time, color)
— Line style and width settings
🎨 Visual:
— Auto / Dark / Light theme detection
— Bull / Bear signal colors
— Watermark toggle
📊 Dashboards
— 📋 Main Dashboard : active session, Asian bias, last sweep (type + session + strength + ATR score), sweep counts (bull/bear), timeframe, symbol, version
— 📏 Range Table (optional): current range and N-session average range per killzone — identify extended vs. compressed sessions
🔔 Alerts
Sweep alerts (bar-close confirmed):
— 🟢 Sweep Buy — includes ticker, timeframe, price, strength, reason (which session's pivot was swept)
— 🔴 Sweep Sell — same fields
Both support plain text and JSON webhook format for bot integrations.
DWM break alerts:
— 📈 PDH / PWH / PMH Break — price closes above previous high
— 📉 PDL / PWL / PML Break — price closes below previous low
Six structural alerts, all bar-close confirmed.
⚠️ IMPORTANT NOTES
— ⏱️ Designed for intraday timeframes (1m–15m). The indicator auto-hides on timeframes at or above the TF Limit setting. Session zones and sweeps lose their meaning on higher timeframes.
— 🚫 No repainting. All sweep signals and DWM break alerts require barstate.isconfirmed. Pivot invalidation also occurs only on confirmed bar close, not intrabar.
— 🌐 Timezone accuracy is critical. If your killzone boxes don't align with the expected session times, verify that the Timezone setting matches your exchange or broker timezone. For standard ICT analysis, use America/New_York.
— 📊 Sweep signals indicate liquidity grabs — they show where stop-losses were likely triggered. They are not standalone entry signals. Combine with order flow, FVGs, order blocks, or other ICT concepts for complete trade setups.
— 🔄 Session VWAP requires volume data. On instruments with no reported volume (some forex pairs), the VWAP line defaults to close-based calculation.
— 📏 The range table's average is calculated from the last N completed sessions (configurable, default 5). It takes several sessions to build a meaningful average.
— 🎯 Sweep strength is relative — "Strong" on a low-volatility instrument may represent a smaller absolute move than "Weak" on a high-volatility one. The ATR normalization makes strength comparable across timeframes but not across instruments with very different ATR profiles.
— 🛠️ This is an analysis and signal tool , not an automated trading system. It visualizes ICT session concepts and detects liquidity sweeps — trade decisions remain yours. Indicator
Strong Breakouts MTF | ProjectSyndicateStrong Breakouts MTF automatically identifies and power-ranks high-probability breakout opportunities by analyzing historical pivot structures. It filters for quality, calculates a 0-10 strength score for every breakout based on zone tightness, candle momentum, and proximity to the breakout level, and presents all data on the chart and in a comprehensive multi-timeframe dashboard to eliminate noise and focus on breakouts that matter.
• 🎯 Power-Ranking System (0-10) — every breakout is given a strength score based on a weighted algorithm that assesses zone structure, breakout candle characteristics, and ATR-based volatility, providing an instant quality assessment.
• 🎨 Strength-Based Color Scheme — breakout zones are colored by their power rank; stronger breakouts get darker, more prominent colors for immediate visual hierarchy.
• 🧠 Smart Pivot Structure Detection — automatically identifies the underlying pivot high/low structure that creates the breakout zone, ensuring the detected levels are based on significant market turning points.
• 📊 On-Chart Statistics — each breakout zone displays its direction (Bullish/Bearish) and its calculated strength score directly on the chart.
NQ
• 🧭 Full MTF Dashboard Display — provides a complete market overview across 7 timeframes (M1, M5, M15, M30, H1, H4, D1), showing the latest breakout signal, its strength, entry/SL/TP levels, and how many bars ago it occurred on that timeframe. The dashboard is stable and consistent regardless of the chart you are viewing.
• 🔔 Comprehensive Alerts — get notified the moment a new breakout occurs, with the alert message containing the full details: strength, entry, SL, and TP levels.
• ✅ Quality Control Filters — a user-configurable minimum strength score allows you to filter out weak, low-probability breakouts and focus only on high-quality signals.
• 🔧 Fully Customizable — control everything from the breakout lookback period and ATR multipliers for SL/TP to the visibility of the dashboard and on-chart visuals.
BTCUSD
• 🎯 Why this algo is unique: Standard breakout indicators often generate excessive false signals or repaint. This algorithm uses a multi-factor scoring system to quantify the quality of a breakout in real-time. It doesn’t just show you a breakout; it tells you how strong it is. The MTF dashboard provides a complete, stable cross-timeframe perspective that is impossible to achieve with standard indicators.
• 🚀 Apply to Gold (XAUUSD), Forex, Crypto, and Indices on any timeframe. The breakout lookback and minimum score settings allow it to adapt to anything from scalping to swing trading.
USDJPY
• 🎯 How to use this? Focus on trading opportunities from high-strength breakouts rated 7/10 or higher, as these have the highest probability of a significant follow-through. Use the dashboard to quickly identify which timeframes have active signals and use the on-chart visuals to analyze the breakout structure in detail.
• ⚠️ IMPORTANT NOTICE: This indicator is designed to identify high-probability breakout opportunities. It should NOT be used as a standalone signal for entering trades. Always use it in conjunction with your own trading strategy, price action analysis, and other technical indicators to confirm trade setups and manage risk.
Alerts Setup
To receive the detailed breakout alerts, follow these steps:
This single alert will trigger for any new Bullish or Bearish breakout detected by the script.
1.Click the "Alert" button in the top toolbar of PulseWire.
2.In the "Condition" dropdown, select "Strong Breakouts MTF".
3.In the second dropdown, choose "Any alert() function call".
4.Set "Expiration" to your desired time.
5.Click "Create".
Alerts Format
BULLISH BREAKOUT
Symbol : XAUUSD
Timeframe: 5
Strength : 7.4 / 10
Entry : 3185.50
SL : 3181.20
TP1 : 3189.80
TP2 : 3194.10
Bearish Breakout:
BEARISH BREAKOUT
Symbol : XAUUSD
Timeframe: 5
Strength : 6.1 / 10
Entry : 3178.30
SL : 3182.60
TP1 : 3174.00
TP2 : 3169.70 Indicator
Prism Orderflow Detector [JOAT]Prism Orderflow Detector
Introduction
The Prism Orderflow Detector is an open-source institutional liquidity and order flow system that combines Smart Money Concepts (SMC), liquidity pool detection, Fair Value Gap analysis, Order Block identification, and advanced orderflow strength measurement into a unified overlay indicator. This comprehensive system integrates multiple proven institutional trading methodologies to identify high-probability zones where smart money positioning and retail liquidity intersect.
The indicator is designed for traders who understand that institutional players move markets by targeting liquidity pools, creating imbalances, and establishing positions through Order Blocks. By synthesizing liquidity detection, Fair Value Gaps, Order Blocks, Breaker Blocks, market structure analysis, and real-time orderflow strength measurement, this tool helps identify structural market inflection points with institutional-grade precision.
Why This Integration Exists
This indicator combines eight distinct institutional analysis frameworks that complement each other:
Liquidity Pool Detection: Identifies equal highs/lows and swing points where retail stops cluster
Order Block Analysis: Tracks institutional accumulation and distribution zones
Fair Value Gap Identification: Detects price inefficiencies created by rapid institutional moves
Breaker Block Recognition: Identifies failed Order Blocks that become new support/resistance
Market Structure Mapping: Tracks Break of Structure (BOS) and Change of Character (CHoCH)
Liquidity Heatmap Analysis: Visualizes liquidity concentration across price levels
Volume Delta Tracking: Measures real-time buying versus selling pressure
Orderflow Strength Measurement: Quantifies institutional pressure across multiple factors
Each component addresses different aspects of institutional order flow. Liquidity detection reveals where stops are hunted, Order Blocks show where institutions positioned, Fair Value Gaps indicate rapid institutional moves, market structure provides trend context, and orderflow strength quantifies current institutional pressure. Together, they create a comprehensive view of smart money activity and retail liquidity targeting.
Core Components Explained
1. Advanced Liquidity Detection System
The system identifies multiple types of liquidity pools:
Equal Highs (Buy-Side Liquidity):
Equal High Threshold = high * (threshold_percentage / 100)
Equal High Condition = (high == high ) OR (abs(high - high ) <= threshold AND high > high )
Valid Equal High = Equal High Condition AND high == highest(high, lookback_period)
Equal Lows (Sell-Side Liquidity):
Equal Low Threshold = low * (threshold_percentage / 100)
Equal Low Condition = (low == low ) OR (abs(low - low ) <= threshold AND low < low )
Valid Equal Low = Equal Low Condition AND low == lowest(low, lookback_period)
Liquidity Sweeps:
- Bullish Sweep: Price breaks below recent lows but closes back above
- Bearish Sweep: Price breaks above recent highs but closes back below
These sweeps often precede significant moves as institutions trigger retail stops before establishing positions.
2. Order Block Detection Engine
Order Blocks represent the last opposite-direction move before a strong impulse:
Bullish Order Block:
Bullish OB = close < open AND close > open AND
close > high AND (high - low ) > (ATR * strength_multiplier)
Bearish Order Block:
Bearish OB = close > open AND close < open AND
close < low AND (high - low ) > (ATR * strength_multiplier)
Order Blocks are displayed as gradient boxes with diagonal lines and extend forward to show ongoing relevance.
3. Fair Value Gap Analysis
Fair Value Gaps represent price inefficiencies where institutions moved price rapidly:
Bullish FVG:
Bullish FVG = low > high AND close > open
FVG Size = ((low - high ) / close) * 100
Valid Bullish FVG = Bullish FVG AND FVG Size >= minimum_size_percentage
Bearish FVG:
Bearish FVG = high < low AND close < open
FVG Size = ((low - high ) / close) * 100
Valid Bearish FVG = Bearish FVG AND FVG Size >= minimum_size_percentage
FVGs are displayed as horizontal lines with gradient fills and often get filled (retested) later.
4. Breaker Block System
Breaker Blocks are failed Order Blocks that become new support/resistance:
Bullish Breaker: Failed bearish Order Block that price breaks above
Bearish Breaker: Failed bullish Order Block that price breaks below
These represent significant shifts in market structure and often provide strong reversal zones.
5. Market Structure Analysis
Tracks institutional trend changes through structure breaks:
Break of Structure (BOS):
- Bullish BOS: New higher high with strong momentum
- Bearish BOS: New lower low with strong momentum
Change of Character (CHoCH):
- Bullish CHoCH: Lower low followed by higher high (trend change)
- Bearish CHoCH: Higher high followed by lower low (trend change)
6. Advanced Orderflow Features
Liquidity Heatmap:
Tracks liquidity concentration by counting touches at key levels over specified periods. High-intensity areas (>80% touch count) are highlighted as significant liquidity zones.
Volume Delta Analysis:
Buy Volume = close > open ? volume : 0
Sell Volume = close < open ? volume : 0
Volume Delta = sma(Buy Volume - Sell Volume, 14)
Volume Delta Normalized = (Volume Delta / sma(volume, 14)) * 100
Strong delta (>50) indicates institutional accumulation or distribution.
Imbalance Zone Detection:
Enhanced Fair Value Gap detection for larger inefficiencies:
Bullish Imbalance = low > high AND (low - high ) > (ATR * 0.5)
Bearish Imbalance = high < low AND (low - high) > (ATR * 0.5)
Premium/Discount Zones:
Price Range = highest(high, 50) - lowest(low, 50)
Equilibrium = lowest(low, 50) + (Price Range / 2)
Premium Zone = close > equilibrium + (Price Range * 0.25)
Discount Zone = close < equilibrium - (Price Range * 0.25)
7. Orderflow Strength Meter
Real-time quantification of institutional pressure:
Orderflow Strength = Order Block Factor + FVG Factor + Sweep Factor +
Volume Delta Factor + Structure Factor
Components:
- Order Block: ±20 points for new OBs
- FVG: ±15 points for valid FVGs
- Sweeps: ±25 points for liquidity sweeps
- Volume Delta: ±30 points (normalized)
- Structure: ±20 points for BOS/CHoCH
Strength classifications:
- Extreme Bull/Bear Pressure: >±60
- Strong Bull/Bear Pressure: >±30
Visual Elements
Liquidity Arrows: Directional arrows for equal highs/lows with clean labels
Liquidity Sweeps: Arrow lines showing sweep direction with "SWEEP" labels
Order Block Boxes: Gradient boxes with diagonal lines and "OB" labels
Fair Value Gap Lines: Horizontal lines with gradient fills and "FVG" labels
Breaker Diamonds: Diamond markers for failed Order Blocks with "BRK" labels
Structure Arrows: CHoCH arrows with directional labels
Imbalance Zones: Boxes with crossing diagonal lines and "IMB" labels
Liquidity Heatmap: Significant liquidity levels with "LIQ" labels
Volume Delta Markers: "Δ+" and "Δ-" labels for extreme volume pressure
Orderflow Background: Subtle background coloring for extreme pressure states
Dashboard: Comprehensive real-time status of all orderflow components
How Components Work Together
The integration creates a layered institutional analysis approach:
Layer 1 - Liquidity Mapping: Equal highs/lows and swing points reveal where retail stops cluster
Layer 2 - Institutional Positioning: Order Blocks show where smart money accumulated/distributed
Layer 3 - Price Inefficiencies: Fair Value Gaps indicate rapid institutional moves
Layer 4 - Structure Context: BOS/CHoCH provide trend and reversal context
Layer 5 - Failed Levels: Breaker Blocks show where previous levels failed
Layer 6 - Flow Analysis: Volume delta and heatmaps reveal current institutional pressure
Layer 7 - Strength Synthesis: Orderflow strength meter quantifies overall institutional activity
Example scenario: Price approaches equal lows (Layer 1) where a bullish Order Block exists (Layer 2), creating a Fair Value Gap on the move up (Layer 3), with bullish CHoCH confirming trend change (Layer 4), strong positive volume delta (Layer 6), and extreme bullish orderflow strength (Layer 7). This confluence suggests high-probability long opportunity.
Input Parameters
Liquidity Settings:
Show Equal Highs/Lows: Toggle liquidity pool display
Equal Price Threshold: Percentage tolerance for equal levels (default: 0.1%)
Liquidity Lookback: Period for liquidity level detection (default: 50)
Order Block Settings:
Show Order Blocks: Toggle Order Block display
Order Block Strength: ATR multiplier for OB validation (default: 3)
Extend Order Blocks: Forward extension bars (default: 20)
Fair Value Gap Settings:
Show Fair Value Gaps: Toggle FVG display
Min FVG Size: Minimum gap size percentage (default: 0.1%)
Breaker Block Settings:
Show Breaker Blocks: Toggle Breaker display
Breaker Lookback: Period for Breaker detection (default: 20)
Advanced Features:
Show Liquidity Heatmap: Toggle heatmap visualization
Show Volume Delta: Toggle volume pressure display
Show Imbalance Zones: Toggle imbalance detection
Show Premium/Discount Zones: Toggle equilibrium analysis
Show Orderflow Strength: Toggle strength background
Heatmap Period: Lookback for liquidity concentration (default: 100)
How to Use This Indicator
Step 1: Identify Market Structure
Check for recent BOS or CHoCH to understand current trend context and potential reversal zones.
Step 2: Map Liquidity Pools
Locate equal highs/lows and swing points where retail stops are likely clustered.
Step 3: Find Order Blocks
Identify recent Order Blocks where institutions likely positioned for the next move.
Step 4: Check for Fair Value Gaps
Look for unfilled FVGs that price may return to test, especially near Order Blocks.
Step 5: Monitor Liquidity Sweeps
Watch for sweep arrows indicating stop hunting - these often precede strong moves in the opposite direction.
Step 6: Analyze Volume Delta
Confirm institutional flow direction through volume delta analysis - strong delta supports directional bias.
Step 7: Review Orderflow Strength
Check dashboard for current orderflow strength - extreme readings indicate high institutional activity.
Step 8: Wait for Confluence
Best setups occur when multiple factors align: liquidity pools + Order Blocks + structure + volume confirmation.
Best Practices
Use on 15-minute to 4-hour timeframes for optimal institutional detection
Focus on confluence zones where multiple SMC concepts align
Liquidity sweeps provide excellent risk:reward when they fail to sustain
Order Block retests often provide precise entry levels with tight stops
Fair Value Gaps act as magnets - price often returns to fill them
CHoCH signals are more significant than BOS for trend changes
Volume delta confirmation adds conviction to SMC setups
Premium/discount zones help time entries - buy discount, sell premium
Indicator Limitations
Not all liquidity pools get targeted - institutional timing varies
Order Blocks can fail if market structure changes significantly
Fair Value Gaps may never get filled during strong trending moves
Breaker Blocks don't always provide reliable support/resistance
Volume delta can be misleading in low-liquidity conditions
Orderflow strength is reactive, not predictive of future moves
SMC concepts require understanding of institutional behavior
Visual elements can clutter chart - adjust display settings as needed
Technical Implementation
Built with Pine Script v6 using:
Advanced liquidity detection with percentage-based thresholds
Real-time Order Block calculation with ATR-based validation
Dynamic Fair Value Gap identification with size filtering
Breaker Block tracking with lookback period management
Market structure analysis with BOS/CHoCH detection
Volume delta calculation with institutional bias measurement
Orderflow strength meter with multi-factor scoring
Anti-overlap filtering to prevent visual clutter
Comprehensive dashboard with real-time status updates
The code is fully open-source and can be modified to suit individual trading styles and preferences.
Originality Statement
This indicator is original in its comprehensive SMC integration approach. While individual components (Order Blocks, Fair Value Gaps, liquidity detection, volume analysis) are established Smart Money Concepts, this integration is justified because:
It synthesizes eight distinct SMC methodologies into a unified system
The orderflow strength meter quantifies institutional pressure across multiple factors
Advanced liquidity heatmap visualization shows concentration levels not available elsewhere
Integrated volume delta analysis provides real-time institutional flow confirmation
Premium/discount zone analysis adds equilibrium context to SMC setups
Anti-overlap filtering and clean visual design reduce chart clutter while maintaining functionality
Each component contributes unique institutional information: liquidity detection reveals stop hunting targets, Order Blocks show positioning zones, Fair Value Gaps indicate rapid moves, market structure provides context, and volume analysis confirms flow. The integration's value lies in presenting these complementary SMC perspectives simultaneously with quantified orderflow strength measurement.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Smart Money Concepts and institutional analysis are educational frameworks that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and SMC patterns that worked historically may not work in the future.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
Smart Money Engine [WillyAlgoTrader]Smart Money Engine (SME) is a comprehensive overlay indicator that automates the core elements of Smart Money Concepts (SMC) analysis: multi-layer market structure detection (BOS / CHoCH), order block identification with strength grading, fair value gap tracking with fill monitoring, inverse FVG generation, and auto-anchored Fibonacci retracement — all in a single, unified tool.
Rather than stacking five separate indicators on your chart — one for structure, one for OBs, one for FVGs, one for IFVGs, and one for Fibonacci — SME integrates these components so they share a common structural context. Order blocks are created at actual structure break points, FVGs are filtered against volatility, IFVGs are born from filled FVGs, and the Fibonacci grid automatically anchors to the current strong high and strong low. Every component is aware of the others, producing a cleaner and more logically consistent chart than layering independent tools.
🔍 WHAT MAKES IT ORIGINAL
1. Dual-layer structure detection (Swing + Internal). The indicator runs two independent pivot-based structure engines simultaneously. The Swing layer (configurable length, default 10) captures major market structure — the higher-timeframe trend. The Internal layer (shorter length, default 5) captures minor structure shifts within the swing trend. Both label BOS (Break of Structure — continuation) and CHoCH (Change of Character — reversal) independently. This dual-layer approach lets you see whether an internal CHoCH is happening against or with the swing trend — a key distinction in SMC methodology that single-layer tools miss.
2. Order Blocks with contextual grading (A / B / C). OBs are not placed at arbitrary candles. They are created only when a swing-level BOS or CHoCH occurs — the script walks back from the break to find the last opposite-colored candle (the institutional candle that initiated the move). Each OB is then graded:
— Grade A : OB overlaps with an FVG and has a volume spike (highest confluence)
— Grade B : OB has one confluence factor (volume spike OR FVG overlap)
— Grade C : basic OB without additional confluence
Grading helps you prioritize which zones to trade from. OBs extend until mitigated (user choice: close-based or wick-based mitigation), and each OB displays a Consequent Encroachment (CE) midline — the 50% level that often acts as the reaction point within the block.
3. Fair Value Gaps with ATR auto-filter and fill tracking. FVGs are detected using the classic three-candle gap method (current low > high two bars ago for bullish, inverse for bearish). A built-in ATR filter (enabled by default) suppresses FVGs smaller than 0.5× ATR, removing the micro-gaps that clutter charts on lower timeframes. Each FVG extends until fully filled, displays a CE midline, and is automatically removed once price closes through the gap.
4. Inverse FVG (IFVG) generation. When an FVG is fully filled by price, it doesn't just disappear — it transforms into an Inverse FVG with flipped bias. A filled bullish FVG becomes a bearish IFVG (potential resistance); a filled bearish FVG becomes a bullish IFVG (potential support). This captures the SMC concept that once institutional imbalance is filled, the zone can flip polarity. IFVGs are displayed with distinct dashed borders and tracked until mitigated by a close through their zone.
5. Auto-anchored Fibonacci retracement. The Fibonacci grid automatically spans from the current Strong High to Strong Low — the trailing extremes of the active swing structure. When a new BOS/CHoCH shifts the structure, the anchor points update and the grid repositions. The OTE (Optimal Trade Entry) zone between 0.5 and 0.618 is highlighted, giving you an immediate visual reference for the premium/discount equilibrium.
6. Strong / Weak High and Low levels. After each structural break, the indicator identifies the trailing high and low as either "Strong" or "Weak" based on their position relative to the current trend direction. In a bullish swing, the low that initiated the trend is the Strong Low (protected) and the high is the Weak High (target). These levels are extended forward as dashed lines, providing clear reference for where the trend is protected and where it is vulnerable.
⚙️ HOW IT WORKS
Structure detection:
Swing pivots are identified using ta.pivothigh() and ta.pivotlow() with the configured lookback length. The script maintains the most recent swing high and swing low. When price closes above the previous swing high (confirmed bar close, no mid-bar signals), it registers a bullish break. If the prior trend was bearish, this is labeled CHoCH (reversal); if bullish, it is labeled BOS (continuation). The same logic applies in reverse for bearish breaks. Internal structure uses an identical algorithm with a shorter lookback, and its labels are drawn with dashed lines and lighter opacity to visually distinguish them from swing-level events.
Order Block detection:
When a swing-level break is confirmed, the script scans backward (up to 30 bars) from the pivot that was broken to find the last candle with opposite polarity — the candle whose body direction opposes the break direction. The full range (high to low) of that candle becomes the OB zone. A volume spike check (volume > 1.5× 20-period SMA) adds confluence for grading. OBs extend right until the mitigation condition is met.
FVG detection:
On every confirmed bar, the script checks whether the current bar's low exceeds the high of two bars ago (bullish FVG) or the current high is below the low of two bars ago (bearish FVG). If the gap size passes the ATR filter, an FVG box is created. The box extends right each bar. If price fills the gap completely (low touches the bottom of a bullish FVG, or high touches the top of a bearish FVG), the FVG is removed and — if IFVG mode is enabled — queued for conversion to an Inverse FVG.
HTF trend filter:
An optional higher-timeframe EMA(50) filter provides directional bias. The HTF data is fetched using request.security() with confirmed-bar referencing ( + lookahead_on pattern) to prevent repainting. When enabled, the dashboard displays the HTF bias, and the confluence can factor into OB grading.
Anti-repaint compliance:
All structure breaks, OB creation, and FVG detection require barstate.isconfirmed — signals fire only after the bar closes. The HTF filter uses the standard non-repainting security call pattern. No future data is accessed.
📖 HOW TO USE
Reading the chart:
— HH / HL / LH / LL labels at swing points classify the market structure
— Solid horizontal lines with BOS or CHoCH labels = swing-level structure breaks
— Dashed lines with BOS/CHoCH = internal (minor) structure breaks
— Colored boxes = Order Blocks (green-tinted = bullish, red-tinted = bearish)
— Letter labels (A/B/C) on OBs = strength grade
— Dotted midline inside OBs = Consequent Encroachment (CE)
— Blue-tinted boxes = bullish FVGs; orange-tinted = bearish FVGs
— Dashed-border boxes labeled IFVG = Inverse Fair Value Gaps
— Dotted horizontal Fibonacci lines with OTE zone highlight = auto retracement grid
— Dashed trailing lines labeled "Strong High/Low" or "Weak High/Low" = structural extremes
Suggested workflow:
— Identify the swing trend direction from BOS/CHoCH labels and Strong/Weak levels
— Check if internal structure aligns with or diverges from swing structure
— Look for entry opportunities at Order Blocks (prioritize Grade A/B) within the Fibonacci OTE zone
— Use FVGs as additional confluence — a bullish OB that overlaps a bullish FVG is a higher-probability zone
— Monitor IFVGs for polarity-flipped zones that may act as new support/resistance
— Use the dashboard to track active OB/FVG/IFVG counts and HTF bias alignment
Timeframe guidance:
— Scalping (1–5min): Swing Length 5–7, Internal 3, increase Max OBs/FVGs for more zones
— Intraday (15min–1H): Swing Length 8–12, Internal 5, default settings work well
— Swing (4H–Daily): Swing Length 15–25, Internal 7–10, reduce Max OBs to keep chart clean
— Use the HTF filter with 1 step up (e.g. 1H chart → 4H HTF, 4H chart → D HTF)
⚙️ KEY SETTINGS REFERENCE
— Swing Detection Length (default 10): lookback for major structure pivots
— Internal Structure Length (default 5): lookback for minor structure pivots (should be < Swing Length)
— OB Mitigation (default Wick): "Close" = OB removed on close through zone; "Wick" = removed on any touch
— Show OB Grade (default On): display A/B/C strength classification on OBs
— Show OB Midline (default On): display CE (50%) line inside order blocks
— Auto-Filter Small FVGs (default On): suppress FVGs smaller than 0.5× ATR
— Max Visible OBs / FVGs / IFVGs (default 5 each): cap on displayed zones to manage chart clutter
— Show Inverse FVGs (default Off): enable IFVG generation from filled FVGs
— Show Fibonacci Retracement (default On): auto-anchored grid with OTE zone highlight
— HTF Trend Filter (default Off): set a higher timeframe for directional bias via EMA(50)
— Volume Confirmation (default On): add confluence when volume > 1.5× average (auto-disabled on forex)
📊 Dashboard
The info panel (adjustable to any chart corner) displays in real time:
— Swing trend direction (Bullish / Bearish)
— Internal trend direction
— Fibonacci range (Strong High — Strong Low)
— Count of active OBs, FVGs, and IFVGs
— HTF bias (if enabled)
— Current timeframe and indicator version
⚠️ IMPORTANT NOTES
— This indicator does not repaint. All signals and zone creations require bar-close confirmation. The HTF filter uses the standard + lookahead_on non-repainting pattern.
— SME is a structural analysis and zone-mapping tool — it identifies where institutional activity likely occurred, but it does not generate explicit buy/sell signals. Trade decisions should incorporate your own entry triggers, risk management, and additional confluence.
— Past structure patterns and zone reactions do not guarantee future price behavior.
— Performance may vary across instruments and timeframes. Lower timeframes produce more zones and structure shifts; use the ATR filter and Max Visible caps to manage noise.
— The indicator works across all asset classes. Volume-based features (OB grading) are automatically adjusted on instruments without volume data. Indicator
Adaptive Pivot Structure [WillyAlgoTrader]Adaptive Pivot Structure (APS) is an overlay indicator that maps market structure in real time by detecting swing pivots, classifying structural breaks (BOS / CHoCH), tracking missed reversal levels, and projecting a dynamic Fibonacci grid between the last confirmed pivot and the live forming extreme.
Most pivot-based tools plot swing points with a fixed delay and leave the trader to interpret structure manually. APS automates the full workflow: it detects pivots, grades their strength against ATR, identifies whether the structure is continuing (BOS) or reversing (CHoCH), keeps track of levels that price skipped over, and stretches a Fibonacci retracement grid that updates bar-by-bar as the current swing extends — giving you an always-current picture of where price sits within the swing.
🔍 WHAT MAKES IT ORIGINAL
APS combines five analytical layers into a single coherent overlay that would otherwise require multiple separate indicators:
1. ATR-graded pivot detection. Every swing high and low is measured against the current ATR to classify it as Strong (swing > 1.5× ATR) or Weak. You can filter the display to show only strong pivots, only weak ones, or all — allowing you to strip noise on lower timeframes while keeping full detail on higher ones.
2. Automated BOS / CHoCH classification. The indicator continuously compares each new pivot high to the previous pivot high, and each new pivot low to the previous pivot low. When a higher high forms in an existing uptrend, the script labels it as a Break of Structure (BOS ↑) — trend continuation. When a higher high forms after a downtrend, it labels a Change of Character (CHoCH ↑) — potential reversal. The same logic applies in reverse for bearish breaks. This removes the subjectivity of manually drawing and labeling structure shifts.
3. Missed reversal tracking. When two consecutive pivots form on the same side (e.g. two pivot highs without an intervening pivot low), the "missed" pivot low between them is flagged with a ◇ marker and extended as a dotted horizontal level until price breaks it. These missed levels often act as hidden support/resistance that conventional pivot tools ignore entirely.
4. Live (potential) pivot tracking. Instead of waiting for full confirmation (which inherently lags by N bars), APS tracks the running extreme since the last confirmed pivot and plots it in real time as a "potential next pivot" with a dashed zigzag extension. This gives you immediate visual feedback on how far the current swing has traveled and where the Fibonacci grid is anchored — without pretending the pivot is confirmed.
5. Dynamic Fibonacci grid. A full Fibonacci retracement (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0 — with optional 1.272 and 1.618 extensions) is drawn between the last confirmed pivot and the live pivot. The grid redraws every bar as the live extreme moves, so the retracement levels always reflect the current swing range. The OTE (Optimal Trade Entry) zones at 0.236–0.382 and 0.618–0.786 are highlighted with a fill to make them easy to spot at a glance.
⚙️ HOW IT WORKS
Pivot detection:
Pivots are identified using ta.pivothigh() and ta.pivotlow() with a user-defined lookback (Pivot Length). A pivot high is confirmed when the bar has N lower highs on both sides; a pivot low when the bar has N higher lows on both sides. This means confirmed pivots appear with a delay of N bars — this is inherent to the standard pivot detection algorithm.
Strength grading:
Once a pivot is detected, the script measures the absolute price distance from the previous pivot to the current one. If this distance exceeds 1.5× the current ATR value, the pivot is classified as "Strong"; otherwise "Weak." A minimum swing size filter (Min Swing Size, expressed as an ATR multiple) lets you suppress insignificant swings entirely.
Structure logic:
The indicator maintains a running structure direction variable. When a new pivot high exceeds the previous pivot high and the current structure is already bullish, it triggers a BOS ↑. If the structure was bearish, it triggers a CHoCH ↑ (reversal). Mirror logic applies for lows. This follows standard Smart Money Concepts methodology.
Missed pivot logic:
Between any two consecutive same-side pivots, the indicator records the highest high or lowest low that occurred in the gap. This "missed" extreme is marked and extended as a horizontal level. The level is automatically removed from the chart when price closes through it — keeping only active levels visible.
Live pivot:
After each confirmed pivot, the script starts tracking the running high (if expecting a pivot high next) or running low (if expecting a pivot low). This value updates every bar and serves as one anchor of the Fibonacci grid. A "▲?" or "▼?" label and a dashed line show where this potential pivot currently sits.
Fibonacci grid:
The retracement is calculated between the lower and upper anchor of the current swing (using the confirmed pivot on one side and the live extreme on the other). All seven standard ratios are drawn as horizontal lines from the earlier pivot's bar index to 5 bars into the future. The 0.5 and 0.618 levels are drawn thicker and in a highlight color for emphasis.
⚠️ REPAINTING BEHAVIOR — IMPORTANT
This indicator is designed as a live analysis tool , not a backtesting signal generator. The following elements will change on the current bar:
— The Live Pivot marker moves as the running extreme updates
— The Fibonacci grid redraws as the live anchor moves
— BOS/CHoCH labels based on pivots inherit the standard pivot detection delay
Confirmed pivots themselves do not repaint — once a bar is no longer within the pivot lookback window, its pivot status is final. The alert system includes a "Confirmed Only" toggle (on by default) that restricts alerts to bar-close events, ensuring no repainting alerts reach your trading bot.
📖 HOW TO USE
Reading the chart:
— ▲ / ▽ labels at swing lows = confirmed pivot lows (filled = Strong, outline = Weak)
— ▼ / △ labels at swing highs = confirmed pivot highs (filled = Strong, outline = Weak)
— ◇ markers = missed reversals (cyan for missed lows, orange for missed highs)
— Dotted horizontal lines from ◇ markers = active missed levels (auto-removed when broken)
— "BOS ↑/↓" yellow labels = Break of Structure (trend continuation)
— "CHoCH ↑/↓" green/red labels = Change of Character (potential reversal)
— Purple dashed line with "▲?" or "▼?" = live potential pivot (updates every bar)
— Fibonacci lines with OTE zone fills = dynamic retracement grid
Suggested workflow:
— Use CHoCH labels as early warning of trend reversals — then look for entries in the Fibonacci discount/premium zones
— Use BOS labels to confirm trend continuation — look for pullback entries at 0.618–0.786 retracement
— Watch the dashboard's "Fib Zone" readout: Discount (below 38.2%) favors buys, Premium (above 61.8%) favors sells, Equilibrium suggests waiting
— Missed reversal levels act as hidden S/R — watch for reactions when price revisits them
Timeframe guidance:
— Scalping (1–5min): Pivot Length 3–5, Min Swing 0.5 ATR, Strong Only filter
— Intraday (15min–1H): Pivot Length 5–10, default settings
— Swing (4H–Daily): Pivot Length 10–20, show all strengths for full context
⚙️ KEY SETTINGS REFERENCE
— Pivot Length (default 5): bars left/right for pivot detection — lower = faster but noisier
— ATR Length (default 14): period for strength grading and minimum swing filter
— Min Swing Size (default 0.0): minimum swing as ATR multiple — increase to filter small moves
— Pivot Strength Filter (default All): show All / Strong Only / Weak Only
— Max Active Levels (default 10): maximum missed-reversal horizontal lines displayed
— Show Live Pivot (default On): toggle the real-time potential pivot tracker
— Show Fibonacci Grid (default On): toggle the dynamic retracement overlay
— Show Extensions (default Off): add 1.272 and 1.618 extension levels
— Show Fib Zone Fill (default On): highlight OTE zones (0.236–0.382 and 0.618–0.786)
— Alerts: Confirmed Only (default On): restrict alerts to bar-close confirmation — recommended for bots
📊 Dashboard
The info panel (adjustable to any chart corner) displays:
— Current market structure (Bullish / Bearish / Ranging)
— Last confirmed pivot type and price
— Live pivot direction and price
— Number of active missed-reversal levels
— Last PH and PL values
— Fib Zone classification (Premium / Discount / Equilibrium) with percentage
— Current timeframe and indicator version
⚠️ DISCLAIMER
— This tool is intended for live chart analysis and structure mapping — it is not a standalone entry/exit signal system.
— The live pivot and Fibonacci grid are designed to repaint by nature — they track the forming swing in real time. Do not use them for backtesting.
— Past pivot patterns and structure shifts do not guarantee future price behavior.
— Always combine structural analysis with proper risk management and additional confluence. Indicator
Fair Value Gap Signals [UAlgo]Fair Value Gap Signals is a price action indicator that detects bullish and bearish Fair Value Gaps and then tracks how price behaves inside those gaps over time. Instead of only drawing static imbalance boxes, the script treats each FVG as a stateful object with live metrics, lifecycle states, mitigation logic, and optional rejection signals. This makes it useful for traders who want both structural FVG mapping and real time interaction analysis after the gap is created.
The indicator runs on price ( overlay=true ) and automatically identifies classic 3 candle FVG formations. Each detected gap is stored in an internal object with its own box, CE midline, metric bars, status, and signal label handling. As price revisits a gap, the script measures how deeply price penetrates the zone, how much volume is accumulated during tests, and how strong the test candles are in terms of directional body expansion (velocity style scoring).
A key design goal of this script is practical decision support. It can show:
Fresh gaps
Testing behavior
Filled or invalidated gaps
Rejection events (potential reversal signals)
Live VVD style metrics (Velocity, Volume, Depth / Safety) inside the FVG
It also includes an ATR filter to ignore small gaps, visibility limits to keep charts clean, optional CE midline plotting, and alert conditions for major gap events.
🔹 Features
🔸 1) Automatic Bullish and Bearish FVG Detection
The script detects standard 3 candle Fair Value Gaps using simple price displacement logic:
Bullish FVG when current low is above high from two bars ago
Bearish FVG when current high is below low from two bars ago
When a gap is confirmed, it is stored as a custom Gap object and immediately drawn on the chart with its own box, CE midline, and metric containers.
🔸 2) Stateful FVG Lifecycle Tracking
Each gap is tracked through multiple statuses instead of being treated as a static box:
Fresh
Testing
Tested
Rejected
Filled
This allows the indicator to model how price interacts with a gap over time and not just where the gap originally formed.
🔸 3) Configurable Mitigation Method (Close or Wick)
Users can choose how FVG mitigation is confirmed:
Close means invalidation requires a close through the far boundary
Wick means a wick touch through the far boundary is enough
This is a very useful option because traders often use different mitigation definitions depending on instrument and timeframe.
🔸 4) ATR Based Gap Size Filter
An optional ATR filter removes smaller gaps that may be insignificant in volatile conditions. When enabled, the script ignores bullish or bearish FVGs whose size is smaller than the current ATR value (using the chosen ATR length).
This helps reduce noise and keeps the display focused on stronger imbalances.
🔸 5) CE Midline (Consequent Encroachment) Support
Each FVG can display a dotted midline representing the center of the gap (Consequent Encroachment). This gives traders an additional reference inside the imbalance and is commonly used as a reaction level in ICT style workflows.
The CE line can be turned on or off with a dedicated input.
🔸 6) VVD Metrics Inside Each Gap (Velocity, Volume, Depth)
One of the strongest features of this script is the live metric visualization inside every active gap. The indicator tracks and displays three bar style metric boxes:
Velocity
Volume
Depth (rendered as a safety style score from penetration depth)
These metrics update as price tests the gap and provide a quick visual estimate of test quality, participation, and penetration risk.
🔸 7) Rejection Signal Detection with Context
When price enters a gap and then rejects from it with sufficient test volume, the script can print a directional signal label. Bullish gaps can generate Buy or Strong Buy labels and bearish gaps can generate Sell or Strong Sell labels.
Signal strength is influenced by the velocity metric, and the tooltip includes extra details such as velocity score, volume score, safety score, and test count.
🔸 8) Test Counting and Multi Test Awareness
The indicator keeps track of how many times a gap has been tested. This can help traders distinguish first touch behavior from repeated interactions that may weaken the setup.
The test count can also be displayed as text inside the main FVG box when metrics are enabled.
🔸 9) Visibility Control for Cleaner Charts
To avoid clutter, the script limits how many active bullish and bearish gaps are visually displayed at once using Max Visible FVGs . It scans from newest to oldest and only shows the most recent valid gaps per side.
Older or non visible gaps still exist in logic and continue updating internally, but their visuals are hidden.
🔸 10) Smart Object Cleanup and Retained Signal Labels
The script enforces an internal gap limit and removes older gap objects when needed. Gap boxes, CE lines, and metric boxes are deleted during cleanup, while rejection labels are intentionally allowed to remain on the chart for historical context.
This gives users a cleaner display while preserving past signal markers.
🔸 11) Alert Conditions for Key FVG Events
Built in alert conditions are provided for:
New FVG formed
FVG testing (price enters a gap)
FVG filled (mitigated / invalidated)
FVG rejection signal (potential reversal)
This makes the script suitable for active monitoring across multiple charts or watchlists.
🔹 Calculations
1) Bullish and Bearish FVG Detection Logic
The script uses classic 3 candle gap conditions:
bool fvgBull = low > high
bool fvgBear = high < low
Interpretation:
A bullish FVG exists when the current candle low leaves a gap above the high from two bars ago.
A bearish FVG exists when the current candle high leaves a gap below the low from two bars ago.
When detected, the script creates a Gap object and stores:
Top boundary
Bottom boundary
Direction
Origin index
Status and metrics
Visual objects (main box, metric boxes, midline, label handle)
2) ATR Filter for Minimum Gap Size
If the ATR filter is enabled, the script compares gap size with ATR and rejects undersized gaps:
float atrVal = ta.atr(atrLength)
float gapSizeBull = low - high
float gapSizeBear = low - high
if fvgBull and gapSizeBull < atrVal
fvgBull := false
if fvgBear and gapSizeBear < atrVal
fvgBear := false
This creates a volatility adjusted threshold for FVG relevance.
3) Gap Object Initialization and Visual Construction
When a new gap is created, the setup method initializes both state and visuals:
Main FVG box
CE midline
Three metric boxes (Vel, Vol, Dpt)
The main box is drawn from the origin index to a small forward projection:
g.paramBox := box.new(left = idx, top = top, right = bar_index + 5, bottom = bottom, ...)
The CE line is placed at the midpoint:
float midY = (top + bottom) / 2
The metric area is split into three horizontal segments inside the gap height so each metric can expand in width over time.
4) Gap Status Model and State Transitions
Each gap starts as Fresh . As price interacts with the gap, the script can move it through:
Testing when price enters the zone
Tested when price leaves after a test
Rejected when rejection conditions are met
Filled when mitigation occurs
This logic is implemented inside the update() method, which runs every bar for each stored gap.
5) Test Detection and First Touch Handling
The script avoids counting the forming bar as a test:
bool canTest = bar_index > g.index + 1
A gap is considered under test when the current candle range overlaps the gap:
bool isInside = canTest and (h >= g.bottom and l <= g.top)
When price first enters a fresh gap:
if g.status == "Fresh"
g.status := "Testing"
g.testCount := 1
g.testStartVolume := volume
eventCode := 1
This event code is later used for the FVG Testing alert condition.
6) Velocity Metric Calculation
Velocity is a bar quality style score calculated during gap tests. It combines body dominance and a directional bonus:
float bodyRatio = math.abs(close - open) / barRange
Directional bonus:
Bullish gap gets bonus if the test candle closes bullish
Bearish gap gets bonus if the test candle closes bearish
float currentVelocity = math.min(bodyRatio + directionBonus, 1.0)
The gap stores the maximum velocity observed across all tests:
if currentVelocity > g.maxVelocity
g.maxVelocity := currentVelocity
Interpretation:
Higher velocity suggests stronger directional response while testing the gap.
7) Volume Metric Calculation
During tests, the script accumulates test volume:
if isInside
g.testVolume += volume
Later, it compares the accumulated test volume to an expected volume estimate:
float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2)
float volScore = math.min(g.testVolume / expectedVol, 1.0)
This creates a normalized volume score used in both the metric bar length and the rejection label tooltip.
8) Depth Metric and Safety Score Calculation
Depth tracks how far price penetrates into the gap during tests.
For bullish gaps:
Depth is measured from gap top downward when price dips below the top boundary.
For bearish gaps:
Depth is measured from gap bottom upward when price rises above the bottom boundary.
Examples:
if g.isBullish
if l < g.top
currentDepth := g.top - l
else
if h > g.bottom
currentDepth := h - g.bottom
The maximum penetration depth is stored:
if currentDepth > g.maxDepth
g.maxDepth := currentDepth
The displayed metric is a safety style score:
float depthRatio = g.maxDepth / gapSize
float safetyScore = math.max(0.0, 1.0 - depthRatio)
Interpretation:
Deeper penetration reduces safety score and may imply weaker rejection quality.
9) Fill / Mitigation Logic (Close or Wick)
A gap is marked Filled when price crosses the far boundary in the inverse direction, according to the selected mitigation method:
if mitType == "Close"
filledInverse := g.isBullish ? (close < g.bottom) : (close > g.top)
else
filledInverse := g.isBullish ? (l < g.bottom) : (h > g.top)
When filled:
Status becomes Filled
Gap is deactivated
Event code becomes 2
Gap visuals are deleted
This event code feeds the FVG Filled alert condition.
10) Rejection Signal Logic
Rejection is checked only while the gap is active and price is inside the gap. The script also requires enough accumulated test volume:
if isInside and g.testVolume > volAvg * 0.5
Rejection condition:
Bullish gap rejection if price probes below the gap top and closes back above the gap top
Bearish gap rejection if price probes above the gap bottom and closes back below the gap bottom
bool rejected = g.isBullish ? (l < g.top and close > g.top) : (h > g.bottom and close < g.bottom)
When rejection is confirmed:
Gap status becomes Rejected
Optional signal label is drawn (Buy, Strong Buy, Sell, Strong Sell)
Event code becomes 3
This event code feeds the FVG Rejection Signal alert condition.
11) Signal Strength and Tooltip Metrics
When a rejection signal is printed, the script builds a tooltip with normalized scores:
Velocity score from maxVelocity
Volume score from testVolume versus expectedVol
Safety score from gap penetration depth
Test count
It also upgrades the signal text to Strong Buy or Strong Sell when max velocity exceeds 0.6:
if g.maxVelocity > 0.6
icon := g.isBullish ? "Strong Buy" : "Strong Sell"
This provides a compact label with deeper context available on hover.
12) Visibility Limiting and Render Hiding
The script iterates through gaps from newest to oldest and shows only the most recent active bullish and bearish gaps up to maxVisible per side. Non visible gaps are not deleted, but their visuals are hidden by setting colors and text to na .
This is useful for traders who want a focused view of current opportunities without losing older gap state tracking in the background.
13) Metric Bar Rendering Logic
Each metric box grows horizontally from the gap origin according to a normalized score:
Velocity length from maxVelocity
Volume length from volScore
Depth / Safety length from safetyScore
Example:
int len1 = int(math.max(1, maxWidth * velScore))
g.rankBox1.set_right(g.index + len1)
If metric display is disabled, the script hides the metric boxes and text while keeping the gap logic active.
14) Array Cleanup and Object Management
The script enforces a strict gap storage limit with GAP_LIMIT . When exceeded, the oldest gap is removed and its visuals are deleted:
if gaps.size() > GAP_LIMIT
gaps.cleanup()
The cleanup method deletes:
Main gap box
CE midline
Velocity metric box
Volume metric box
Depth metric box
Rejection info labels are intentionally preserved for historical review.
15) Alert Conditions
The script exposes four alert conditions:
alertcondition(fvgBull or fvgBear, "New FVG Formed", ...)
alertcondition(anyTesting, "FVG Testing", ...)
alertcondition(anyFilled, "FVG Filled", ...)
alertcondition(anySignal, "FVG Rejection Signal", ...)
These alerts are driven by the live event codes returned from each gap's update() call and make the indicator suitable for workflow automation. Indicator
Strategy
Indicator
Indicator
Indicator
MTF Trend Panel [Dow/SMC]■ 概要
複数の時間足（マルチタイムフレーム：MTF）のトレンド方向をひとつのチャート上で一目で確認できるパネル型インジケーターです。トレンドの判定基準として、「ダウ理論（Dow）」と「スマートマネーコンセプト（SMC）」の2種類のロジックからお好みのものを選択できます。
■ 主な特徴
2種類のトレンド判定ロジック:
Dow（ダウ理論モード）: 直近2つのピボットハイ（高値）とピボットロー（安値）を比較し、高値・安値の切り上げで「上昇トレンド」、切り下げで「下降トレンド」と判定します。
SMC（スマートマネーコンセプトモード）: ローソク足の終値が直近のピボットハイ、またはピボットローをブレイク（BOS / CHoCH）した方向に基づいてトレンドを判定します。
最大6つの時間足を監視:
月足、週足、日足、4時間足、1時間足、15分足など、監視したい時間足を最大6つまで任意に設定可能です。
カスタマイズ可能なUI:
パネルの表示位置（四隅）や、文字のサイズをチャート環境に合わせて自由に変更できます。
■ 設定項目
判定ロジック設定: ロジックの切り替え（Dow / SMC）、ピボット判定に用いる左右のバー数（Left/Right Bars）
タイムフレーム設定: パネルに表示する6つの時間足（Timeframe 1 ～ 6）
パネル設定: 表示位置（Top Right, Bottom Leftなど）、文字サイズ
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■ Overview
This indicator provides a multi-timeframe (MTF) panel that allows you to check the current trend direction across up to 6 different timeframes at a glance. You can seamlessly switch between two distinct logic modes for trend detection: Dow Theory and Smart Money Concepts (SMC).
■ Key Features
Two Trend Detection Logics:
Dow Mode: Uses classic Dow Theory. It compares the last two Pivot Highs and Pivot Lows. An uptrend is identified by higher highs and higher lows, while a downtrend is identified by lower highs and lower lows.
SMC Mode: Based on Smart Money Concepts. The trend is determined by the closing price breaking the most recent Pivot High or Pivot Low (BOS / CHoCH).
Monitor Up to 6 Timeframes:
Fully customizable. You can set up to 6 timeframes to monitor simultaneously (e.g., 1M, 1W, D, 4H, 1H, 15m).
Customizable UI:
Easily adjust the panel's position on the chart (top-right, bottom-left, etc.) and text size to fit your trading setup.
■ Settings
Logic Settings: Choose between 'Dow' and 'SMC'. Adjust Left/Right bars for Pivot calculations.
Timeframe Settings: Select 6 specific timeframes to display on the panel.
Panel Settings: Select screen position and text size. Indicator
Liquidity Radar# Liquidity Radar
## Overview
Liquidity Radar is a Smart Money Concepts (SMC) indicator that visualizes where institutional liquidity rests in the market. It combines automatic market structure detection (BOS & CHoCH), a thermal liquidity heatmap, dynamic order blocks, and fair value gaps into a single, performance-optimized overlay.
**Free & Open Source** — no invite-only access, no paywall. Full source code, fully transparent.
## The Concept: Why Liquidity Matters
In institutional trading, **liquidity pools** form above swing highs and below swing lows — these are clusters of stop-loss orders from retail traders. Smart money targets these pools to fill large positions. Understanding where liquidity rests gives you an edge in anticipating price movements:
- **Swing High Liquidity** — Stop-losses from short sellers sit above swing highs
- **Swing Low Liquidity** — Stop-losses from long buyers sit below swing lows
- **Liquidity Sweeps** — When price takes out a swing level to grab these stops, it often reverses
The indicator automates the detection and visualization of these key levels.
## Core Features
### 1. Thermal Liquidity Heatmap
The signature feature. Liquidity zones appear at every confirmed swing high and swing low with a thermal color gradient:
- **Fresh zones** — Warm colors (orange/yellow) indicate high relevance
- **Aging zones** — Cool colors (purple/blue) indicate decreasing relevance as time passes
- **Volume-weighted intensity** — Zones formed on high-volume bars appear more intense
- **Auto-cleanup** — Zones fade out over a configurable decay period and are removed when price sweeps through them
### 2. Market Structure Detection (BOS & CHoCH)
Automatic swing high/low detection using pivot-based logic:
- **BOS (Break of Structure)** — Price breaks a prior swing level in the trend direction (continuation). Shown as dashed lines.
- **CHoCH (Change of Character)** — Price breaks a prior swing level against the trend (potential reversal). Shown as solid lines with thicker width.
- Color-coded: Cyan/Teal = bullish, Magenta/Pink = bearish
### 3. Dynamic Order Blocks
Institutional supply and demand zones rendered as semi-transparent boxes:
- **Bullish OB** — The last bearish candle before a strong bullish move (at swing lows)
- **Bearish OB** — The last bullish candle before a strong bearish move (at swing highs)
- Configurable mitigation threshold — controls how much price must penetrate the block before it is considered mitigated
- Auto-removed when price closes through the block
### 4. Fair Value Gaps (FVG)
Three-candle inefficiency detection:
- Bullish FVG: Gap between candle 1's low and candle 3's high
- Bearish FVG: Gap between candle 1's high and candle 3's low
- ATR-based noise filter removes insignificant gaps
- Auto-removed when price fills the gap
- Default: OFF (toggle on in settings)
### 5. Premium / Discount Zones
Based on the current swing range:
- **Premium Zone** (upper half) — Light red background
- **Discount Zone** (lower half) — Light green background
- **Equilibrium Line** (50%) — Dashed amber line
- Default: OFF (toggle on in settings)
## Dashboard
A compact, dark-themed info panel displaying:
- **Trend** — Current market direction (Bullish / Bearish / Neutral)
- **Structure** — Last detected structure signal (BOS or CHoCH)
- **Liq. Heat** — How many liquidity zones are near the current price (High / Medium / Low)
- **Volume** — Above or below 20-period average
- **Momentum** — RSI(14) status (Overbought / Neutral / Oversold)
- **Next Zone** — Nearest liquidity zone with price level and distance in percent
## Auto-Timeframe Adaptation
All parameters automatically adjust to your chart timeframe:
| Timeframe | Swing Lookback | Heatmap Decay |
|-----------|---------------|---------------|
| 1-5 min | 6 | 100 bars |
| 15 min | 10 | 80 bars |
| 30 min | 12 | 80 bars |
| 1 Hour | 15 | 60 bars |
| 4 Hour | 22 | 50 bars |
| Daily | 35 | 40 bars |
| Weekly+ | 50 | 30 bars |
You can switch to manual mode for full control.
## Alert Types (7)
1. Bullish BOS — Break of Structure confirmed (continuation up)
2. Bearish BOS — Break of Structure confirmed (continuation down)
3. Bullish CHoCH — Change of Character detected (potential reversal up)
4. Bearish CHoCH — Change of Character detected (potential reversal down)
5. Bullish Liquidity Sweep — Swing high liquidity taken
6. Bearish Liquidity Sweep — Swing low liquidity taken
7. Price Entering Order Block — Price enters a bullish or bearish OB zone
## Settings
**Market Structure:**
- Show BOS / CHoCH (on/off)
- Auto Swing Lookback (on/off)
- Manual Swing Lookback (3-100)
- BOS / CHoCH line styles and width
**Liquidity Heatmap:**
- Show Heatmap (on/off)
- Auto Decay Period (on/off)
- Manual Decay (10-500 bars)
- Zone Width (ATR multiplier)
- Volume-Weighted Intensity (on/off)
- Max Active Zones (4-20)
**Order Blocks:**
- Show Order Blocks (on/off)
- Max OBs per Side (1-6)
- Mitigation Threshold (0.0-1.0)
**Fair Value Gaps:**
- Show FVGs (on/off, default OFF)
- Min FVG Size (ATR multiplier)
- Max Active FVGs (2-15)
- FVG Extend (bars)
**Premium / Discount:**
- Show Zones (on/off, default OFF)
- Zone Transparency
**Dashboard:**
- Show Dashboard (on/off)
- Position (Top Right / Top Left / Bottom Right / Bottom Left)
- Size (Tiny / Small / Normal)
**Visual Settings:**
- All 5 colors fully customizable
- Watermark (on/off)
## Non-Repainting
All signals are calculated on confirmed (closed) bars only. Pivot detection inherently requires N bars of confirmation on each side. BOS/CHoCH signals fire on the bar where the break occurs, after the swing point is already confirmed. What you see is what happened — no hindsight bias.
## Works On
- Crypto (BTC, ETH, SOL, ...)
- Forex (EUR/USD, GBP/JPY, ...)
- Stocks (AAPL, TSLA, NVDA, ...)
- Futures & Indices (NQ, ES, SPX, ...)
- Any timeframe from 1 minute to Monthly
## Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss. Indicator
Smart Money Tracker [JOAT]Smart Money Tracker
Introduction
The Smart Money Tracker is an open-source indicator that combines institutional order flow concepts including Fair Value Gaps (FVG), Order Blocks (OB), Breaker Blocks, Liquidity Sweeps, Market Structure Breaks, and Displacement patterns. This mashup creates a comprehensive Smart Money Concepts (SMC) analysis system designed to identify where institutional traders are positioning themselves and how they manipulate price to accumulate or distribute positions.
The indicator addresses a fundamental market reality: institutional traders with large capital cannot simply buy or sell at market prices without moving the market against themselves. They must use sophisticated techniques including liquidity sweeps, gap creation, and order block manipulation. By tracking these institutional footprints simultaneously, this tool helps retail traders align with smart money rather than becoming their liquidity.
Chart showing FVG zones, Order Blocks, liquidity sweeps, and market structure on 15M timeframe
Why This Mashup Exists
This indicator combines six Smart Money Concepts that reveal different aspects of institutional behavior:
Fair Value Gaps (FVG): Inefficient price delivery zones where institutions moved price quickly
Order Blocks (OB): Last opposite-direction move before impulse, showing accumulation/distribution
Breaker Blocks: Failed Order Blocks that signal potential trend reversal
Liquidity Sweeps: Stop hunts where institutions trigger retail stops before real move
Market Structure: Break of Structure (BOS) and Change of Character (CHoCH) patterns
Displacement: Strong institutional moves with high volume and large candles
Each concept reveals different institutional tactics: FVGs show where they moved fast, Order Blocks show where they accumulated, Breaker Blocks show failed accumulation, Liquidity Sweeps show stop hunts, Market Structure shows control shifts, and Displacement shows strong directional intent. Together, they create a complete picture of institutional order flow that no single concept can provide.
The mashup is justified because these concepts work together in institutional trading sequences: institutions sweep liquidity, create FVGs during displacement, leave Order Blocks at accumulation zones, and break market structure when taking control. Tracking all simultaneously reveals the complete institutional playbook.
Core Components Explained
1. Fair Value Gap (FVG) Detection
FVGs occur when price moves so quickly that it leaves an unfilled gap:
// Bullish FVG: Current low > high from 2 bars ago
bullishFVG = low > high and close > high
fvgTop = low
fvgBottom = high
fvgSize = ((fvgTop - fvgBottom) / fvgBottom) * 100
// Bearish FVG: Current high < low from 2 bars ago
bearishFVG = high < low and close < low
fvgTop = low
fvgBottom = high
fvgSize = ((fvgTop - fvgBottom) / fvgBottom) * 100
FVG significance:
Represents inefficient price delivery - institutions moved too fast
Price often returns to "fill" these gaps before continuing
Larger FVGs (> 0.5%) are more significant
FVGs act as support/resistance zones
Multiple unfilled FVGs suggest strong directional intent
The indicator draws boxes for FVGs and tracks when they get "mitigated" (price returns to fill them). Timeframe-adaptive limits prevent clutter (fewer boxes on higher timeframes).
2. Order Block Identification
Order Blocks mark where institutions accumulated or distributed positions:
// Bullish Order Block
// Two consecutive bearish candles + strong bullish candle with high volume
bullishOB = close < open and
close < open and
close > open and
volume > volumeMA * 1.5
obHigh = high
obLow = low
// Bearish Order Block
// Two consecutive bullish candles + strong bearish candle with high volume
bearishOB = close > open and
close > open and
close < open and
volume > volumeMA * 1.5
Order Block characteristics:
Last opposite-direction move before strong impulse
Represents institutional accumulation (bullish OB) or distribution (bearish OB)
Often provides support/resistance on retests
Volume confirmation ensures institutional participation
Stronger OBs have larger candles and higher volume
The indicator draws solid boxes for Order Blocks and tracks their strength based on volume and candle size. Timeframe-adaptive filtering ensures only significant OBs are displayed.
3. Breaker Block Detection
Breaker Blocks are failed Order Blocks that signal potential reversals:
// Track last bullish and bearish Order Block levels
var float lastBullOBHigh = na
var float lastBearOBLow = na
if bullishOB
lastBullOBHigh := high
if bearishOB
lastBearOBLow := low
// Breaker Bull: Price breaks above failed bearish OB
breakerBull = not na(lastBearOBLow) and
close > lastBearOBLow and
close <= lastBearOBLow
// Breaker Bear: Price breaks below failed bullish OB
breakerBear = not na(lastBullOBHigh) and
close < lastBullOBHigh and
close >= lastBullOBHigh
Breaker Block significance:
Failed Order Blocks often become strong support/resistance in opposite direction
Indicate institutional position reversal
High-probability reversal zones when combined with other SMC signals
Often mark major trend changes
The indicator marks Breaker Blocks with "BB" labels and tracks them as potential reversal zones.
4. Liquidity Sweep Analysis
Liquidity Sweeps identify stop hunts before real moves:
lookbackBars = 20
// Recent highs and lows (liquidity pools)
recentHigh = ta.highest(high, lookbackBars)
recentLow = ta.lowest(low, lookbackBars)
// Liquidity Sweep High (stop hunt above recent high)
liquiditySweepHigh = high > recentHigh and
close < recentHigh and
volume > volumeMA * 1.5
// Liquidity Sweep Low (stop hunt below recent low)
liquiditySweepLow = low < recentLow and
close > recentLow and
volume > volumeMA * 1.5
// Strong sweeps have higher volume
strongSweep = volume > volumeMA * 2.5
Liquidity Sweep characteristics:
Price briefly exceeds recent high/low to trigger stops
Closes back inside range - "fake breakout"
High volume confirms institutional participation
Often precedes strong moves in opposite direction
"Strong" sweeps (very high volume) are more reliable
The indicator places "LIQ" and "STRONG LIQ" labels precisely at sweep tips (above bars for high sweeps, below bars for low sweeps) with timeframe-adaptive spacing to prevent overlap.
5. Market Structure Analysis
Market structure tracks control shifts between buyers and sellers:
// Break of Structure (BOS)
// Price breaks beyond previous swing high/low in trend direction
bullishBOS = close > ta.highest(high , 20) and trend == bullish
bearishBOS = close < ta.lowest(low , 20) and trend == bearish
// Change of Character (CHoCH)
// Price breaks structure against trend - potential reversal
bullishCHoCH = close > ta.highest(high , 20) and trend == bearish
bearishCHoCH = close < ta.lowest(low , 20) and trend == bullish
Market Structure significance:
BOS confirms trend continuation
CHoCH signals potential trend reversal
Helps identify when institutional control shifts
Provides context for other SMC signals
The indicator marks BOS and CHoCH with labels and uses them to determine overall market bias.
6. Displacement Detection
Displacement identifies strong institutional moves:
atr = ta.atr(14)
// Displacement: Large candle (> 2x ATR) with climax volume
displacement = math.abs(close - open) > atr * 2 and
volume > volumeMA * 3.0
bullishDisplacement = displacement and close > open
bearishDisplacement = displacement and close < open
Displacement characteristics:
Very large candles relative to ATR
Climax volume (> 3x average)
Indicates strong institutional directional intent
Often creates FVGs
Signals potential trend acceleration
The indicator marks displacement with "DISP" labels and uses them to identify high-conviction institutional moves.
Example showing all SMC concepts: FVGs, Order Blocks, Breaker Blocks, and liquidity sweeps
Timeframe-Adaptive System
The indicator automatically adjusts based on timeframe to prevent clutter:
// Higher timeframes (2H+): Fewer boxes, larger minimum sizes
if timeframe >= 120 minutes:
maxFVGs = 12
maxOBs = 10
minFVGSize = 0.5%
minOBSize = 0.8%
labelSpacing = 15 bars
// Medium timeframes (1H): Moderate filtering
else if timeframe >= 60 minutes:
maxFVGs = 15
maxOBs = 12
minFVGSize = 0.4%
minOBSize = 0.6%
labelSpacing = 12 bars
// Lower timeframes (15M): More boxes, smaller minimum sizes
else:
maxFVGs = 20-25
maxOBs = 15-20
minFVGSize = 0.3%
minOBSize = 0.4%
labelSpacing = 8-10 bars
This ensures the indicator remains useful across all timeframes without overwhelming the chart.
SMC Confluence Dashboard
The dashboard (top-right position) displays:
Market Bias: Bullish/Bearish/Neutral based on structure
Active FVGs: Count of unfilled Fair Value Gaps
Active OBs: Count of untested Order Blocks
Recent Sweeps: Liquidity sweeps in last 50 bars
Structure: Last BOS or CHoCH type
Displacement: Recent displacement direction
SMC Score: Overall confluence (0-10)
SMC Score calculation:
SMC Score Components:
- Significant FVG present: +2 points
- Strong Order Block present: +2 points
- Breaker Block active: +1 point
- Recent liquidity sweep: +2 points
- Displacement in direction: +3 points
Total: 0-10 points
Visual Elements
FVG Boxes: Green (bullish) and red (bearish) boxes, removed when mitigated
Order Block Boxes: Solid green/red boxes with strength-based transparency
Breaker Block Labels: "BB" markers at breaker zones
Liquidity Sweep Labels: "LIQ" and "STRONG LIQ" at sweep tips
Displacement Labels: "DISP" markers on displacement candles
Structure Labels: "BOS" and "CHoCH" at structure breaks
Mitigation Markers: Small circles when FVGs get filled
Dashboard: Top-right table with SMC metrics
How Components Work Together
The mashup reveals institutional trading sequences:
Sequence 1 - Accumulation:
1. Liquidity Sweep triggers retail stops
2. Order Block forms as institutions accumulate
3. Displacement occurs as institutions push price
4. FVG created during fast move
5. BOS confirms trend direction
Sequence 2 - Reversal:
1. Multiple liquidity sweeps fail to extend trend
2. Order Block fails, becomes Breaker Block
3. CHoCH signals control shift
4. Opposite-direction displacement
5. New trend structure forms
Example: Price sweeps below recent lows (liquidity sweep), then strongly reverses with high volume (displacement), leaving a bullish FVG. A bullish Order Block forms at the reversal zone. Price breaks above previous structure (BOS). SMC Score reaches 9/10, signaling strong bullish institutional setup.
Input Parameters
FVG Settings:
Show FVGs: Toggle FVG boxes (default: enabled)
Min FVG Size: Minimum gap size % (default: 0.3%)
Max FVG Boxes: Limit displayed boxes (default: timeframe-adaptive)
Show Mitigation: Mark when FVGs get filled (default: enabled)
Order Block Settings:
Show Order Blocks: Toggle OB boxes (default: enabled)
Min OB Strength: Minimum volume multiplier (default: 1.5x)
Max OB Boxes: Limit displayed boxes (default: timeframe-adaptive)
OB Lookback: Bars to track OBs (default: 100)
Liquidity Settings:
Show Liquidity Sweeps: Toggle sweep labels (default: enabled)
Lookback Bars: Period for liquidity pools (default: 20)
Strong Sweep Threshold: Volume multiplier (default: 2.5x)
Label Spacing: Minimum bars between labels (default: timeframe-adaptive)
Structure Settings:
Show Structure: Toggle BOS/CHoCH labels (default: enabled)
Show Breaker Blocks: Toggle BB labels (default: enabled)
Show Displacement: Toggle DISP labels (default: enabled)
Structure Sensitivity: Swing detection period (default: 20)
Display Options:
Show Dashboard: Toggle SMC dashboard (default: enabled)
Timeframe Adaptive: Auto-adjust limits (default: enabled)
Remove Extensions: Don't extend boxes right (default: enabled)
Color Theme: Choose color scheme
How to Use This Indicator
Step 1: Identify Market Structure
Check for recent BOS or CHoCH. BOS suggests trend continuation, CHoCH suggests potential reversal.
Step 2: Look for Liquidity Sweeps
Liquidity sweeps often precede strong moves in opposite direction. "STRONG LIQ" sweeps are particularly significant.
Step 3: Identify Order Blocks
Look for Order Blocks in the direction of intended trade. OBs often provide high-probability entry zones on retests.
Step 4: Check for FVGs
Unfilled FVGs act as magnets - price often returns to fill them. Can be used for entry targets or profit-taking zones.
Step 5: Watch for Displacement
Displacement signals strong institutional intent. When displacement occurs from an Order Block, it confirms the zone's validity.
Step 6: Monitor Breaker Blocks
Failed Order Blocks (Breaker Blocks) often mark major reversals. These are high-probability reversal zones.
Step 7: Review SMC Score
Check dashboard SMC Score. Scores above 7 indicate strong institutional confluence.
Best Practices
Use on 15-minute to 4-hour timeframes for optimal SMC signal quality
Liquidity sweeps followed by displacement are extremely high-probability setups
Order Block retests with FVG confluence provide excellent risk:reward entries
Wait for price to return to Order Blocks rather than chasing displacement
Multiple unfilled FVGs in same direction suggest strong institutional intent
Breaker Blocks combined with CHoCH signal major trend reversals
Higher timeframe SMC signals are more reliable than lower timeframe
Use SMC Score as filter - focus on setups with 7+ score
Combine with traditional support/resistance for additional confirmation
Indicator Limitations
Not all FVGs get filled - some remain unfilled in strong trends
Order Blocks don't always provide support/resistance on retest
Liquidity sweeps can be followed by additional sweeps (multiple stop hunts)
Timeframe-adaptive filtering may hide some valid signals
Requires understanding of Smart Money Concepts for effective use
Visual elements can clutter chart even with adaptive limits
SMC concepts work best in trending markets, less effective in ranges
Institutional behavior patterns can change over time
No SMC system eliminates false signals entirely
Technical Implementation
Built with Pine Script v6 using:
Box management system with automatic cleanup
Timeframe-adaptive limits and filtering
Anti-overlap logic for all labels with dynamic spacing
FVG mitigation tracking with visual markers
Order Block strength calculation based on volume and size
Liquidity pool identification with sweep detection
Market structure tracking with BOS/CHoCH logic
Displacement detection using ATR and volume
Real-time SMC confluence scoring
Comprehensive dashboard with all SMC metrics
The code is fully open-source and can be modified to adjust thresholds, visual preferences, and filtering criteria.
Originality Statement
This indicator is original in its comprehensive SMC integration approach. While individual concepts (FVG, Order Blocks, Breaker Blocks, Liquidity Sweeps, Market Structure, Displacement) are established Smart Money Concepts, this mashup is justified because:
It tracks all major SMC concepts simultaneously in one indicator
Timeframe-adaptive system prevents clutter while maintaining functionality
Anti-overlap logic ensures clean visual presentation
SMC confluence scoring quantifies institutional setup quality
Integration reveals complete institutional trading sequences
Enhanced visual elements (precise label positioning, mitigation markers) improve usability
Each SMC concept reveals different institutional behavior: FVGs show fast moves, Order Blocks show accumulation, Breaker Blocks show failed accumulation, Liquidity Sweeps show stop hunts, Market Structure shows control shifts, and Displacement shows strong intent. The mashup's value lies in presenting these complementary institutional footprints simultaneously, allowing traders to identify complete institutional trading sequences rather than isolated signals.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Smart Money Concepts are analytical frameworks based on observations of institutional trading patterns. They do not guarantee that institutions are actually trading at identified zones, nor do they predict future institutional behavior. Market conditions change, and patterns that worked historically may not work in the future.
The SMC Score is a mathematical calculation based on current market structure, not a prediction of future price movement. High SMC scores do not ensure profitable trades. Order Blocks, FVGs, and other SMC zones can fail to provide support/resistance. Liquidity sweeps can be followed by additional sweeps.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
Diamond V5 : Institutional SMC & Liquidity EngineDiamond V5: Ultimate Institutional SMC & Liquidity Engine
Diamond V5 is a high-precision trading framework designed for professional traders who follow SMC (Smart Money Concepts) and ICT methodologies. Unlike standard indicators, Diamond V5 is a complete structural engine that identifies where liquidity is resting and how institutional players are moving the market.
🚀 Key Features:
Auto-Market Detection: Smart algorithms that automatically adjust parameters (Sweep tolerance, confirmations) based on whether you are trading Gold, Forex, or Indices.
Advanced Structure Engine: Real-time mapping of BOS (Break of Structure) and CHoCH (Change of Character) with body-close confirmation.
Liquidity Clustering: Detects Equal Highs/Lows (EQH/EQL) with dynamic tolerance, identifying high-probability liquidity pools.
PD Array Filter: Integrated Premium/Discount logic to ensure you only Buy in Discount and Sell in Premium zones.
Institutional Confirmation: Combined Displacement, Fair Value Gaps (FVG), and Volume Spikes to filter out fakeouts.
Pro Dashboard: A comprehensive HUD showing HTF Trend, LTF Structure, Pricing status, and Killzone activity at a glance.
🛠 How to Trade (The Strategy):
Context: Ensure HTF Trend and Internal Structure are aligned (Green/Red Dashboard).
Setup: Wait for a Liquidity Sweep (Orange Diamond) in a Premium/Discount zone.
Trigger: Look for the BUY/SELL label which appears after a displacement candle creates a new FVG.
Target: Aim for the "Weak High/Low" target lines or use the dynamic 1:2 RR TP line.
📈 Optimized For:
Forex: EURUSD, GBPUSD, USDJPY (15m/1h)
Indices: NAS100, US30, SPX500 (1m/5m - NY Killzone)
Commodities: XAUUSD / GOLD (5m/15m)
توضیحات فارسی:
اندیکاتور Diamond V5 یک موتور معاملاتی پیشرفته مبتنی بر سبک اسمارت مانی (SMC) است. این ابزار با شناسایی خودکار ساختار بازار (BOS/CHoCH) و شکار نقدینگی (Liquidity Sweeps)، دقیقترین نقاط ورود در جهت روند اصلی را نمایش میدهد.
ویژگیهای برتر:
تشخیص خودکار نوع بازار (فارکس، طلا، شاخصها).
فیلتر قیمت منصفانه (ترید فقط در نواحی ارزان یا گران).
شناسایی نقدینگیهای مجتمع (Equal Highs/Lows).
ترسیم خودکار باکسهای FVG برای تایید ورود پول هوشمند.
داشبورد مدیریتی کامل برای بررسی همزمانی چندین فاکتور تحلیلی. Indicator
