iCC | Swing Point Dots Helps train your eyes to see swing points for visual learners to assist with ICC concepts made famous by SCi
Chart patterns
Futures Psychological Levels PROFutures Psychological Levels PRO – Professional Usage Guide
Indicator Overview
This elite psychological levels tool dynamically plots the most institutionally relevant round-number clusters across futures markets (ES, NQ, YM, CL, GC, SI, BTC, and custom instruments). It separates levels into three hierarchical tiers — Major, Tradable, and Sniper — while intelligently filtering distant levels using an ATR-based proximity engine. The result is a clean, adaptive overlay that scales perfectly from scalping precision on 1-minute charts to big-picture context on daily/weekly timeframes.
Core Philosophy
Psychological levels are where order flow clusters: stops, limits, and institutional positioning accumulate around round numbers. This indicator turns static round numbers into a dynamic decision framework by:
Prioritizing confluence zones
Reducing clutter in ranging or low-volatility environments
Highlighting only price-relevant levels in real time
Key Features
Instrument Presets – One-click optimized spacing for major futures contracts
Three-Tier Hierarchy – Major (institutional anchors), Tradable (active defense zones), Sniper (precise entry/exit triggers)
ATR Proximity Filter – Automatically hides irrelevant distant levels
Zones or Lines – Visual magnet areas or clean horizontal lines
Price Labels & Summary Table – Instant reference for next major levels above/below
Full Customization – Colors, thickness, styles, and manual overrides
How to Best Use This Indicator (Professional Workflow)
Select the Correct Instrument Preset
Start with the built-in preset matching your chart (e.g., "ES (S&P 500)" for /ES or MES). This instantly applies battle-tested increments. Use "Custom" only for non-standard assets (forex pairs, micros with different tick values, or crypto alts).
Match Settings to Your Trading Style & Timeframe
Reading the Levels – Decision Framework
Major Levels (thick red by default): Highest probability reaction zones. Expect strong reversals, breakouts with volume, or liquidity sweeps. Treat as primary support/resistance.
Tradable Levels (orange): Active trader defense zones. Excellent for limit order placement, partial profit taking, or fading weak moves.
Sniper Levels (thin gray): Precision entries/exits, stop runs, and scalping targets. Confluence with order blocks or volume profile nodes dramatically increases edge.
Trade Setup Examples
Rejection Play: Price approaches a Major level from below → long wick rejection + close back inside → enter in direction of rejection with stop beyond wick extremity.
Break & Retest: Clean breakout through Tradable/Major → retest as new support/resistance → enter on confirmation candle.
Liquidity Sweep: Price briefly breaches Sniper/Major (stop hunt) → rapid reclaim → aggressive counter-trend entry.
Confluence Boost: When a level aligns with daily/weekly open, VWAP, or prior high/low volume node → dramatically increase position size or conviction.
Risk Management Integration
Always place stops just beyond the next logical level (typically a Sniper or Tradable beyond your entry zone). Use the summary table to quickly identify invalidation points. Target the next level in the direction of your bias for minimum 1:2 risk-reward (often 1:3–1:5 achievable at Major levels).
Pro Optimization Tips
High-volatility sessions (NY open, FOMC, NFP): Increase ATR Multiplier slightly to avoid excessive clutter.
Low-volatility Asian/range sessions: Decrease ATR Multiplier for tighter precision.
Combine with Volume Profile (Fixed Range or Session) to confirm high-volume nodes at psych levels.
Pair with anchored/session VWAP for additional confluence layers.
On higher timeframes, disable Sniper levels and zones entirely for minimalist structural analysis.
Important Disclaimer
This indicator is a professional decision-support tool, not a standalone trading system. All trading involves substantial risk of loss. Past performance is not indicative of future results. Always conduct your own analysis, manage risk appropriately, and consider your financial situation before placing trades.
Mastering psychological levels is one of the highest-edge concepts in institutional trading. Used correctly, this indicator gives you the same reference framework that prop desks and market makers watch every day. Trade smart, stay disciplined, and let price action at these levels guide your executions.
Proactive Execution MachineProactive Execution Machine: Multi-State Momentum Engine
Overview
The Proactive Execution Machine is a comprehensive trading workspace designed to filter market noise and highlight high-probability execution windows. It combines Dynamic Supply/Demand Zones, Manual Level Proximity, and a proprietary Dual-Candle Momentum Scoring system to categorize the market into specific "States" in real-time.
Instead of a simple arrow, this script provides a System Status dashboard that tells you exactly what phase the market is in—whether it's "Level Absorption," a "Demand Vortex," or a "Tired Trend. "Core Components
1. The Momentum Gauge (Bottom Left)
This table provides a deep-dive into order flow by scoring the last two candles based on:
Close Location: Where price closed relative to its range (Upper, Middle, Lower).
Body-to-Wick Ratio: Measuring the "effort vs. result" of the move.
Range Relativity: Whether the current bar is an "Inside" or "Outside" bar relative to the previous candle.
Slope (Linear Regression): A real-time trendline of momentum strength to see if conviction is accelerating or decelerating.
2. Dynamic State Engine The script automatically identifies and colors the chart into three primary zones:
Supply Zone (Red): The upper 30% of the recent price discovery range.
Demand Zone (Green): The lower 30% of the recent price discovery range.
Proximity Zones: When price nears your Manual Levels (PDH, PDL, NY Open, etc.), the engine switches priority to monitor for "Breakouts" or "Level Attacks."
3. System Status (Bottom Right)The dynamic HUD changes size and color based on conviction levels. It will notify you of specific market conditions:
Supply/Demand Overrun: When momentum is so strong it is smashing through reversal zones. Level Absorption/Stalling: When price reaches a key level but momentum has "flattened," suggesting a potential reversal or high-volume churn.
Buy/Sell Now: High-conviction signals triggered only when Location (Zone) and Momentum (Score) align.
How to Trade with the "Machine"
For Trend Followers: Look for the status "TREND (ACTIVE)" combined with a Momentum Score of $\pm 4$ or higher.
For Reversion Traders: Watch for "WATCH LONGS/SHORTS" when price enters a Supply or Demand zone. Wait for the status to flip to "BUY/SELL NOW" as momentum begins to shift back toward the mean.
For Level Traders: Input your daily levels (VAH, VAL, POC) in the settings. The machine will automatically prioritize these levels, changing status to "AT LEVEL" the moment price enters your specified proximity.
Key Settings
Manual Levels: Input up to 5 custom price levels for the proximity engine.
Proximity Sensitivity: Adjust how close price must be to a level (in points/pips) to trigger an "At Level" state.
Aggression (1-5): Tuning the pivot detection. Lower numbers respond faster to micro-structure; higher numbers focus on major swing points.
Visual Coding
Candle bodies are colored to assist with single candle pattern detection:
Lime/Pink Bar Highlights: The script uses a custom color engine to highlight "Shaved" (Marubozu) bars.
Lime indicates aggressive bullish conviction, while Pink (Fuchsia) highlights aggressive bearish conviction.
Green indicates bull engulfing candle
Red indicates bear engulfing candle
Orange is an outside bar
Yellow an inside bar
Gray a Doji bar
Black all other bars
Dynamic Zones: The chart features two primary background areas:
Red Zone (Top): The Supply Zone, identifying where sellers historically reclaim control.
Green Zone (Bottom): The Demand Zone, identifying where buyers historically step in.
System Status HUD (Bottom Right): This is the "brain" of the machine. The text size is adjusted to attract the trader's attention when the slope of the momentum increases above 5 (bullish expansion) or greater than - 5 (Bearish expansion). The system status changes color based on the market state too:
HUD Coloring:
Aqua: Active Bullish Trend.
Gray: Bull trend tired.
Orange: Active Bearish Trend.
Gray: Bear trend tired.
Red: For sell now.
Green: For buy now.
Lime: Bull price level under attack.
Marron: Bear price level under attack.
Gray: Price level absorption.
Yellow: Price at level and stalling.
Maroon: An "Overrun" or "Vortex" where price is smashing through supply/demand with extreme momentum.
The text size serves as a "Volatility Alarm." * When the text is Small, the market is in a "sideways" or "absorbing" state. You should be cautious about entering new trend trades.
When the text is Large, the Machine has detected that "Aggressive" participants have entered the order flow. This is your cue that a "Level Attack" or a "Trend Breakout" is currently in progress.
The 1-Minute Tactical Setup Guide:
Proactive Execution Machine Operating on the 1-minute (1m) timeframe requires a balance between speed and noise filtration. Because the Proactive Execution Machine uses a "State Engine" logic, it is uniquely suited for the high-velocity environment of the NY Open.
I follow these three tactical steps to optimize the chart for the 1m timeframe:
Step 1: Calibrate the "Proximity Sensitivity" On a 1m chart, a "Level" isn't a single price—it's a zone.
Adjustment: In the script settings, set your Proximity Sensitivity to a value that represents the average "noise" of your instrument.
For ES (S&P 500 Futures): 1.5 to 2.5 points.
For NQ (Nasdaq Futures): 5 to 10 points.
For Forex (EURUSD): 1 to 2 pips.
The Goal: You want the "AT LEVEL" status to trigger just as price is "sniffing" the level, giving you time to prepare your order before the touch.
Step 2: Watch the "History" Column in the Momentum Gauge
The bottom-left table is your most important tool for the 1m chart. It shows you the momentum of the last three bars ($T-0$, $T-1$, $T-2$).
Momentum Sequence: Look for a "Sequence of Three." If you see $T-2$ (Neutral), $T-1$ (Long), and $T-0$ (STR Long), you have a momentum explosion.
The Trap: If you see STR LONG followed immediately by a NEUTRAL bar while in a Supply Zone, the "Machine" will shift to "SUPPLY STALLING." This is your signal to tighten your trailing stop or take profit—it means the bulls are hitting a wall of sell orders.
Step 3: The "Level Attack" Execution
The script features a unique state called "LEVEL ATTACK." This is designed specifically for breakout/breakdown traders.
The Setup: Price is approaching a Manual Level (like the NY Open or PDH).
The Signal: If the status changes to "LEVEL ATTACK (BULL)," it means the momentum score is high ($>3$) and the slope is positive while within the proximity of the level.
The Action: This is a "Proactive" entry. Instead of waiting for the candle to close above the level, you are entering as the "Machine" detects institutional pressure "attacking" the level.
Daily Routine for the "Machine"
1) 09:25 AM: Input your 5 manual levels (PDH, PDL, NY Open, VAH, VAL).
2) 09:30 AM: Wait for the first 5 minutes of volatility to settle.
3) The Window: Look for the System Status to move from "IDLE" to a colored state.
4) The Trigger: Never take a signal if the Momentum Gauge is in the "Neutral" (Yellow) zone. Only execute when the gauge shows LONG/SHORT or STR LONG/STR SHORT.
Stock Breakout (Liquidity + Breakout)//@version=5
indicator("Stock Breakout (Liquidity + Breakout)", overlay=true)
// ===== Inputs =====
lenRange = input.int(20, "Consolidation Length")
lenVol = input.int(20, "Volume MA")
lenMFI = input.int(14, "MFI Length")
// ===== Indicators =====
rangeHigh = ta.highest(high, lenRange)
volMA = ta.sma(volume, lenVol)
mfi = ta.mfi(hlc3, lenMFI)
vwapLine = ta.vwap(close)
// ===== Conditions =====
liquidityIn = mfi > 50 and volume > volMA
priceBreak = close > rangeHigh
aboveVWAP = close > vwapLine
breakout = liquidityIn and priceBreak and aboveVWAP
// ===== Plot =====
plotshape(breakout, title="BREAKOUT",
style=shape.labelup, location=location.belowbar,
color=color.new(color.green, 0), text="")
plot(vwapLine, color=color.orange, linewidth=2, title="VWAP")
Breakout Liquidity Strategy//@version=5
indicator("Breakout Liquidity Strategy", overlay=true)
// ===== Inputs =====
lenVol = input.int(20, "Volume MA")
lenMFI = input.int(14, "MFI Length")
// ===== Indicators =====
volMA = ta.sma(volume, lenVol)
mfi = ta.mfi(hlc3, lenMFI)
vwap = ta.vwap(close)
// ===== Conditions =====
liquidityIn = mfi > 50 and volume > volMA
priceBreak = close > ta.highest(high, 20)
aboveVWAP = close > vwap
breakout = liquidityIn and priceBreak and aboveVWAP
// ===== Plot =====
plotshape(breakout, title="BREAKOUT", style=shape.labelup,
location=location.belowbar, color=color.new(color.green, 0), text="🚀")
plot(vwap, color=color.orange, linewidth=2, title="VWAP")
Arzouni signals EngineArzouni signals Engine generates BUY/SELL signals and automatically prints ENTRY, TP1/TP2/TP3 and SL levels. Alerts are sent via alert() with ready-to-use multi-line Telegram messages. To receive alerts: create an alert and choose “Any alert() function call”.
Multi-Mode Adaptive Strategy [MMAS]This Pine Script strategy dynamically adapts to different market conditions. Users can switch between trend‑following, mean‑reversion, and breakout modes, making it versatile across assets and timeframes.
Key Metrics:
- BTCUSDT / 1D → Return: +42.5%, Sharpe: 1.8, Max Drawdown: -12.3%, Win Rate: 61%
- XAGUSD / 1H → Return: +18.7%, Sharpe: 1.4, Max Drawdown: -8.5%, Win Rate: 58%
- EURUSD / 4H → Return: +25.2%, Sharpe: 1.6, Max Drawdown: -10.1%, Win Rate: 60%
Key Features:
- Modular design: switch between trend, mean‑reversion, breakout
- Works across crypto, forex, commodities
- Clear visualization with signals and metrics
• Global Note
"Universal strategy design for cross‑asset adaptability."
• Tags
trend, mean‑reversion, breakout, multi‑asset, adaptive strategy, pine script
[iQ]PRO Triple HTF Market Structure+PRO Triple HTF Market Structure+
The PRO Triple HTF Market Structure+ is a professional-grade analytical tool designed for traders who prioritize multi-timeframe confluence and precise structural shifts. It serves as a comprehensive cockpit for price action traders, mapping out institutional-level structure across three distinct timeframes simultaneously.
Theoretical Methodology
This indicator operates on the principle of hierarchical price action, identifying key swing points (Highs and Lows) to define the current market phase. By utilizing advanced pivot-based logic, the script filters out minor price fluctuations to focus on significant structural milestones.
Core Logic Pillars:
Fractal Structure Recognition: The script identifies Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) through a robust pivot-confirmation engine. It requires specific price expansion on both sides of a peak or trough before confirming a structural point, ensuring the levels are statistically significant.
Trend Dynamics & Transitions: Market transitions are identified through two primary events:
BOS (Break of Structure): Occurs when price continues in the direction of the existing trend, signaling momentum persistence.
CHoCH (Change of Character): Identifies the first sign of a potential trend reversal by monitoring the breach of the most recent "strong" structural anchor.
Multi-Timeframe Synchronization: The tool aggregates structural data from three user-defined timeframes. This allows the trader to see if a local reversal is merely a retracement within a higher-timeframe trend or the start of a macro shift.
Key Features
Automated Labeling: Real-time marking of HH, HL, LH, and LL with customizable color-coding and transparency.
Dynamic BOS/CHoCH Detection: Automated signal lines that highlight structural breaks, with adjustable sensitivity for "close-only" or "wick-based" confirmations.
Retracement Tracking: A built-in engine calculates how deep a current pullback is relative to the previous swing range (0–100%).
Dual-Panel Interface: Includes a status panel for immediate "Watch" levels and a bottom-center MTF dashboard for a birds-eye view of three different timeframes.
Structural Guides: Step-line plots that provide a visual "floor" and "ceiling" for the current trend phase.
How to Use
Step 1: Identify the Macro Trend: Consult the MTF Panel at the bottom of the chart. Look for alignment across your chosen timeframes (e.g., all TFs showing "Bullish").
Step 2: Monitor for Structural Shifts: Watch for the CHoCH signal. A bearish CHoCH during an uptrend suggests the market character is changing and a deeper correction or reversal may be imminent.
Step 3: Confirm with BOS: Use BOS signals to identify high-probability trend continuation entries. A BOS confirms that the dominant side has regained control of the price action.
Step 4: Manage Risk: Utilize the "Key Up/Down" levels shown in the info panels to place stop-losses behind the most recent structural anchors.
Settings & Configuration
Pivot Sensitivity: Adjust "Pivot Left/Right Length" to control how "significant" a swing point must be to be labeled.
Break Confirmation: Toggle "Use Close Only" for conservative signals (requires a candle body close) or leave off for aggressive wick-based breaks.
Multi-Timeframe Selection: Define three specific timeframes (e.g., 15m, 1H, 4H) for the MTF Dashboard.
Visual Customization: Full control over line styles (solid, dotted, dashed), label colors, and info panel visibility.
SnR Fresh & Unfresh Level Detector by RWBTradeLabSnR Fresh & Unfresh Level Detector by RWBTradeLab
A clean, non-repainting Support/Resistance level tracker built for price action traders who want to see which levels are still “Fresh” vs “Unfresh” — based strictly on CLOSED candle behavior with breakout and rejection state changes + alerts.
What this indicator does
This script detects 4 SnR level types from 2-candle sequences (CLOSED candles only), then continuously updates each level’s status as Fresh ↔ Unfresh depending on market interaction.
Level Creation
All levels are created using 2 CLOSED candles only (no running candle logic):
A Level
Green → Red
Level = 1st Green candle Close
V Level
Red → Green
Level = 1st Red candle Close
Bullish Gap Level
Green → Green
Level = 1st Green candle Close
Bearish Gap Level
Red → Red
Level = 1st Red candle Close
When a level is created, it starts as: Fresh
Fresh vs Unfresh Logic (Dynamic, continuous process)
This indicator continuously updates the SAME level over time:
Fresh → Unfresh (Rejection)
A level becomes Unfresh when a candle touches the level (wick touch) but closes back on the opposite side (rejection confirmed).
Unfresh → Fresh (Breakout)
A level becomes Fresh again when a candle closes through the level (confirmed breakout).
✅ This means a level can change state multiple times:
Fresh → Unfresh → Fresh → Unfresh … (based on confirmed candle behavior)
Visuals on chart
Each detected level is drawn as a horizontal Ray extended to the right.
Labels are drawn in a clean centered-box style:
* Fresh Level label = Green background + White text
* Unfresh Level label = Red background + White text
Labels are placed at the start (creation candle) of the level, not in the middle.
Labels are automatically positioned above/below based on level type:
* A Level / Bearish Gap labels above
* V Level / Bullish Gap labels below
Alerts (bar-close only)
Built-in alerts trigger only on CONFIRMED candles:
* Fresh Created (new level created)
* Fresh → Unfresh (rejection confirmed)
* Unfresh → Fresh (breakout confirmed)
No repainting, no running-bar alerts.
Key settings
Candle Length (Closed bars only): Scans and keeps levels created within the last N closed candles (running candle excluded).
Default: 20 (Min 5 / Max 100)
Show Fresh Levels: On/Off
Show Unfresh Levels: On/Off
Show Text Labels: On/Off
Label Offset (ticks): Adjust label distance for a cleaner chart
Max Levels To Keep: Performance safety cap to prevent excessive objects
Non-repainting confirmation
All levels, state changes, and alerts are calculated on confirmed bars only.
No repainting, no running-bar signals.
Best use
Works on any market and timeframe. For higher reliability, combine with:
Higher timeframe structure
Supply & Demand zones
Trend context and liquidity sweeps
Confirmation candles around key levels
Disclaimer
This indicator is a level-detection and state-tracking tool, not financial advice. Trading involves risk; always use proper risk management and confirm levels with your own analysis.
Creator: RWBTradeLab
If you find this useful, please leave a like ⭐ and share your feedback.
NY Continuation Pullback (GC) Fab4 Companion v1.0 (NY only)NY continuation with pullback, used with fab4 gold
VWAP Breakout NY Open Only vwap breakout targeting multiday taking only 2 trades per day in the first 2 hours of ny session
Vincere Early Setup Detection [Free]Purpose :
Detects and highlights early CISD (higher-timeframe swing-derived) levels to help identify potential reversals or continuation areas on your chart.
How it works
HTF selection:
HTF Mode chooses between Auto mapping or a Custom timeframe.
Simple HTF swing tracking:
Records HTF open/high/low/close for the current and previous HTF to measure structure.
Sweep detection:
Detects when HTF highs/lows are swept and uses that context to qualify setups.
Settings
HTF Mode: Auto or Custom — choose HTF mapping behavior.
Custom Timeframe: specify an explicit HTF when HTF Mode = Custom.
Show early cisd: toggles confirmed CISD visuals.
Hide Historical Early CISD: when enabled, only the latest CISD boxes remain visible.
Show Future Early CISD?: toggles tentative candidate lines.
Future CISD Style / Line Width: style and thickness for tentative lines.
Bullish color / Bearish color: color selection for boxes and tentative lines.
Features:
Confirmed CISD: persistent line drawn from origin to confirmation, colored by direction.
Tentative lines: short, styled lines representing candidate levels before confirmation.
History handling: option to clear prior CISD boxes to reduce chart clutter.
Primary use: visually surface higher-timeframe swing-derived levels that show early setup behavior on the working timeframe.
Confirmation approach: treat tentative lines as “watch” levels; wait for confirmation or supporting price action before trading.
Timeframe guidance: Auto provides convenient HTF mapping; use Custom when you want explicit HTF control for your strategy.
Combining with other tools: pair with session levels, market structure, or volume/orderflow tools to increase conviction.
Not a standalone strategy: VESD² is a detection/visualization tool — always use proper risk management and additional confirmations.
AUTO ALERT All Charts: Compression + Volume + Momentum Breakout//@version=5
indicator("AUTO ALERT: Compression + Volume + Momentum Breakout", overlay=true)
// ===== INPUTS =====
atrLen = input.int(14, "ATR Length")
atrLookback = input.int(20, "ATR Compression Lookback")
volLen = input.int(20, "Volume MA Length")
rsiLen = input.int(14, "RSI Length")
rangeBars = input.int(10, "Compression Range Bars")
volMultiplier = input.float(2.5, "Volume Spike Multiplier") // Use 3 for REC
rsiBull = input.int(55, "RSI Bull Level")
rsiBear = input.int(45, "RSI Bear Level")
// ===== CALCULATIONS =====
// ATR Compression
atr = ta.atr(atrLen)
atrCompressed = atr <= ta.lowest(atr, atrLookback) * 1.05
// Price Compression Range
rangeHigh = ta.highest(high, rangeBars)
rangeLow = ta.lowest(low, rangeBars)
// Volume Spike
volMA = ta.sma(volume, volLen)
volSpike = volume >= volMA * volMultiplier
// RSI Momentum
rsi = ta.rsi(close, rsiLen)
bullMomentum = ta.crossover(rsi, rsiBull)
bearMomentum = ta.crossunder(rsi, rsiBear)
// ===== BREAKOUT CONDITIONS =====
bullBreakout = atrCompressed and volSpike and bullMomentum and close > rangeHigh
bearBreakdown = atrCompressed and volSpike and bearMomentum and close < rangeLow
// ===== OPTIONAL: PRE-BREAKOUT ALERT =====
compressionOnly = atrCompressed and not volSpike
// ===== VISUAL MARKERS =====
plotshape(bullBreakout, title="BUY", style=shape.triangleup,
location=location.belowbar, color=color.green, size=size.small)
plotshape(bearBreakdown, title="SELL", style=shape.triangledown,
location=location.abovebar, color=color.red, size=size.small)
// ===== ALERTS =====
alertcondition(bullBreakout,
title="Bullish Breakout Alert",
message="🚀 BULLISH BREAKOUT on {{ticker}} | TF: {{interval}} | Close: {{close}}")
alertcondition(bearBreakdown,
title="Bearish Breakdown Alert",
message="🔻 BEARISH BREAKDOWN on {{ticker}} | TF: {{interval}} | Close: {{close}}")
alertcondition(compressionOnly,
title="Compression Alert",
message="⏳ VOLATILITY COMPRESSION on {{ticker}} | Watch for breakout")
Scalp Signal Pro══════════════════════════════════════════════════════════════
SCALP SIGNAL PRO
Multi-Confluence Day Trading System
══════════════════════════════════════════════════════════════
🎯 OVERVIEW
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Scalp Signal Pro is a professional day trading indicator that combines 12+ technical factors into a weighted confluence scoring system (0-20 points). Signals only fire when the score exceeds your threshold AND all trend filters align.
Designed for: Scalping stocks, options (CALL/PUT), futures
Best timeframes: 1-5 minute charts
Markets: Stocks, ETFs, Futures, Crypto
⚙️ HOW IT WORKS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CONFLUENCE SCORING ENGINE
Each candle is scored by evaluating 12 technical factors:
┌─────────────────────────────────────────────────────────────┐
│ INDICATOR │ PARAMETERS │ MAX POINTS │
├─────────────────────────────────────────────────────────────┤
│ RSI │ Length: 14 │ +2 (extreme OS/OB) │
│ │ OB: 80, OS: 20 │ +1 (bullish/bearish) │
├─────────────────────────────────────────────────────────────┤
│ MACD │ Fast: 8 │ +2 (crossover) │
│ │ Slow: 21 │ +1.5 (strong trend) │
│ │ Signal: 5 │ +1 (aligned) │
├─────────────────────────────────────────────────────────────┤
│ EMA Stack │ Fast: 13 │ +2 (perfect stack) │
│ │ Mid: 48 │ +1 (partial stack) │
│ │ Slow: 200 │ +0.5-1 (price pos) │
├─────────────────────────────────────────────────────────────┤
│ VWAP │ Source: HLC3 │ +1.5 (bounce/reject) │
│ │ Reset: Daily │ +0.5 (above/below) │
├─────────────────────────────────────────────────────────────┤
│ ADX │ Length: 14 │ +1.5 (very strong) │
│ │ Threshold: 30 │ +1 (strong trend) │
├─────────────────────────────────────────────────────────────┤
│ Volume │ SMA: 20 │ +1.5 (spike >2x) │
│ │ Spike: 2.0x │ +1 (high >1.5x) │
├─────────────────────────────────────────────────────────────┤
│ Stochastic RSI │ Length: 14 │ +1.5 (cross at ext) │
│ │ K Smooth: 3 │ +0.5 (aligned) │
├─────────────────────────────────────────────────────────────┤
│ Bollinger Bands │ Length: 20 │ +1.5 (BB bounce) │
│ │ StdDev: 2.0 │ +0.5 (position) │
├─────────────────────────────────────────────────────────────┤
│ Candlestick │ ATR-based │ +1.5 (engulfing) │
│ Patterns │ │ +1 (strong candle) │
├─────────────────────────────────────────────────────────────┤
│ Momentum │ Length: 10 │ +1 (MOM + ROC bull) │
│ Rate of Change │ Length: 10 │ +0.5 (MOM only) │
├─────────────────────────────────────────────────────────────┤
│ Trend Context │ EMA alignment │ +1 (strong trend) │
│ │ Price structure │ │
└─────────────────────────────────────────────────────────────┘
SIGNAL FREQUENCY OPTIONS:
• High (6+ points): More signals, lower selectivity
• Moderate (8+ points): Balanced - RECOMMENDED
• Selective (10+ points): Fewer, higher quality signals
• Very Selective (12+ points): Rare, high conviction
• Ultra Selective (14+ points): Very rare, highest quality
⭐ VCRE SIGNAL SYSTEM
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Volume-Confirmed Reversal Engine - A separate signal system for high-probability reversals.
HOW IT WORKS:
1. ANCHOR: Price breaks below ALL of last 20 lows (bullish) or above ALL of last 20 highs (bearish) with 2x average volume
2. CONFIRMATION: Within 3 bars, price crosses back above anchor high (bullish) or below anchor low (bearish)
3. SIGNAL: B (bullish) or S (bearish) label appears with star rating
PARAMETERS:
• Candle Lookback: 20
• Confirm Within: 3 bars
• Anchor Volume Multiplier: 2.0x
• Confirm Volume Multiplier: 1.2x
• Macro Trend EMA: 200
STAR RATING (3-5 Stars):
★★★ Base rating
★★★★ +1 for anchor volume OR confirm volume
★★★★★ +1 for macro trend alignment (price vs 200 EMA)
📊 MTF ANALYSIS PANEL
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Real-time market structure analysis across 5 customizable timeframes.
DEFAULT TIMEFRAMES: 4m | 15m | 1H | 4H | Daily
METRICS:
┌─────────────────────────────────────────────────────────────┐
│ MOMENTUM (0-200) │
│ • Combines: RSI (35%), ROC (25%), MOM (20%), MACD (20%) │
│ • 100 = neutral | >110 = bullish | <90 = bearish │
├─────────────────────────────────────────────────────────────┤
│ SENTIMENT (0-100) │
│ • Price vs EMAs, stack alignment, volume sentiment │
│ • 50 = neutral | >55 = bullish | <45 = bearish │
├─────────────────────────────────────────────────────────────┤
│ VOLATILITY (0-100) │
│ • ATR ratio, BB width, TR ratio, Std Dev │
│ • Lower = calm | Higher = volatile │
└─────────────────────────────────────────────────────────────┘
OVERALL BIAS:
▲ BULLISH: Avg Momentum > 110 AND Avg Sentiment > 55
▼ BEARISH: Avg Momentum < 90 AND Avg Sentiment < 45
◆ NEUTRAL: All other conditions
📈 HOW TO USE
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1. Add indicator to chart (1-5 min timeframe recommended)
2. Configure Signal Frequency (start with "Moderate")
3. Enable Session Filter for optimal trading hours
4. Wait for signal: Green ▲ CALL or Red ▼ PUT
5. Confirm MTF Panel shows aligned bias
6. Check signal score and R:R ratio displayed
7. Execute trade with ATR-based SL/TP levels
🕐 SESSION FILTER
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When enabled, signals only fire during high-volume periods (EST):
• Morning Session: 9:30 AM - 11:00 AM (market open momentum)
• Afternoon Session: 2:00 PM - 3:30 PM (power hour setup)
📏 KEY LEVELS DISPLAYED
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• PDH / PDL - Previous Day High/Low (Cyan, Solid)
• 2DH / 2DL - 2 Days Ago High/Low (Orange, Dashed)
• PWH / PWL - Previous Week High/Low (Pink, Dotted)
⚙️ RECOMMENDED SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
┌────────────────────┬────────────────────────────────────────┐
│ Setting │ Recommended Value │
├────────────────────┼────────────────────────────────────────┤
│ Signal Frequency │ Moderate (beginners) / Selective (exp) │
│ Strict Mode │ ON (all filters must align) │
│ Session Filter │ ON (avoid choppy periods) │
│ Cooldown Bars │ 8 (prevents overtrading) │
│ Stop Loss (xATR) │ 1.0 │
│ Take Profit (xATR) │ 1.5 (1.5:1 R:R ratio) │
└────────────────────┴────────────────────────────────────────┘
🔔 AVAILABLE ALERTS
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• LONG (Call) Signal
• SHORT (Put) Signal
• Any Scalp Signal
• VCRE Bullish Signal
• VCRE Bearish Signal
• Any VCRE Signal
• VCRE High-Quality Buy/Sell (4+ Stars)
• VCRE BEST Buy/Sell (5 Stars)
✨ WHAT MAKES IT UNIQUE
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1. WEIGHTED CONFLUENCE ALGORITHM
Not a simple indicator mashup - each factor is weighted by importance and market context. The scoring system evaluates momentum, trend, volume, and volatility together to generate high-conviction signals.
2. ORIGINAL VCRE METHODOLOGY
The Volume-Confirmed Reversal Engine uses an original anchor-confirmation pattern that identifies potential reversal zones validated by volume analysis. This two-step confirmation process helps filter out false signals.
3. COMPREHENSIVE MTF PANEL
Professional market structure analysis displaying momentum, sentiment, and volatility calculations across multiple timeframes in a single, easy-to-read dashboard.
4. SMART FILTERS
Session filter limits signals to high-volume trading hours. Cooldown system prevents overtrading. Volatility requirements and strict mode ensure signals only fire in optimal market conditions.
5. BUILT-IN RISK MANAGEMENT
ATR-based dynamic stop loss and take profit levels with customizable risk:reward ratios displayed on every signal, helping traders maintain consistent position sizing.
⚠️ DISCLAIMER
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This indicator is for educational purposes only. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never trade with money you cannot afford to lose. This is not financial advice.
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V-Max L2B: SMC Terrain Map (Institutional Order Flow)Overview The SMC Terrain Map (V-Max L2B) is a professional-grade structural analysis engine based on Smart Money Concepts (SMC). It provides a high-fidelity "topographical" view of market liquidity by automatically identifying and projecting institutional Supply/Demand zones, Fair Value Gaps (FVG), and Order Blocks (OB). The tool is designed to synchronize structural shifts with tactical execution.
Technical Methodology & Originality L2B moves beyond simple price marking by employing a sophisticated object management and tactical filtering engine, justifying its invite-only status:
Dynamic Mitigation & Sweeping Engine: Utilizing a custom SMCBox data structure, the script tracks institutional zones in real-time. It features a "Physical Mitigation Detection" system that automatically invalidates zones when price action effectively sweeps the liquidity, ensuring traders focus only on fresh, unmitigated levels.
Strategic-Lock Mechanism (v6.7 Update): This proprietary logic eliminates false signals during choppy conditions. Signals are interlocked with the presence of active OBs; a "War God" label will only trigger if an unmitigated zone is physically present on the chart.
Quantitative Trend Slope Filter: The system integrates EMA slope detection. During flat market phases, the engine enters "Silent Mode," automatically filtering out rapid flip-flop signals and meaningless noise from lateral price action.
Adaptive Profit Margin Defense: The script employs an original "is_room_to_trade" logic. It calculates the structural gap between localized levels and requires a minimum threshold (2.5x ATR) before validating alerts. This prevents overtrading in "Choke Zones" where the risk-reward ratio is statistically unfavorable.
Bar-Index Physical Lock: To prevent duplicate alert "spamming" on lower timeframes (e.g., 3M), the script utilizes a bar-index locking mechanism, ensuring only one high-conviction signal is issued per structural event.
How to Use
Zone Confluence: Identify high-probability setups when the "War God" tactical labels align with unmitigated Order Blocks (OB).
Trend Transitions: Monitor the "🛡️ Retreat" labels and CHoCH (Change of Character) markers for early warnings of structural failure or trend reversals.
產品概述 V-Max L2B SMC 撐阻地形圖是一款專業級結構分析引擎。它透過自動識別並投影機構級供應/需求區、失衡缺口 (FVG) 與訂單塊 (OB)，為交易者提供高清晰度的市場流動性「地形圖」，並將結構轉變與戰術執行同步化。
技術邏輯與原創性 L2B 作為僅限邀請工具，其技術價值體現在精密的物件管理與戰術鎖定引擎：
動態失效與清掃引擎： 採用自定義 SMCBox 數據結構，具備實時「物理失效檢測」。當價格清掃流動性時，系統自動標註失效，確保交易者僅關注未被觸碰的有效區間。
Strategic-Lock 戰略鎖定 (v6.7 更新)： 此邏輯消除了震盪行情下的誤報。訊號與實體 OB 聯鎖；只有在畫面上存在有效、未失效的 OB 時，系統才會觸發「戰神」進場標籤。
量化趨勢斜率過濾： 引入 EMA 斜率判定技術。當市場進入橫盤、均線走平時，系統自動進入靜默模式，過濾無意義的多空頻繁轉換訊號。
適應獲利空間防禦： 內建原創空間過濾邏輯。系統要求結構空間須達到 2.5 倍 ATR 門檻才允許發出警報，有效避開盈虧比不利的「窒息區」。
K 棒物理鎖： 具備單根 K 棒警報鎖定機制，防止在低時區（如 3M）因價格反覆摩擦而導致的重複誤報。
Access & Authorization This is an Invite-Only script. Please refer to my TradingView Profile Signature for instructions on how to request access and authorization.
Disclaimer: This script is for technical analysis and educational purposes only. Trading involves risk.
EMA + Previous Candle High/LowA versatile multi-timeframe indicator that combines customizable EMAs with previous candle levels for precise support/resistance identification.
Key Features:
📊 4 Fully Customizable EMAs:
EMA 9 (Yellow) - Fast-moving for scalping
EMA 20 (Blue) - Short-term trend
EMA 50 (Orange) - Medium-term trend
EMA 200 (White) - Long-term trend direction
Each EMA is independently customizable:
Adjustable period length
Custom color selection
Line thickness (1-5)
Transparency control (0-100%)
📈 Previous Candle Levels:
Displays high/low from any timeframe (default: Daily)
Green line for Previous High
Red line for Previous Low
Customizable line style: Solid, Dashed, or Dotted
Optional shaded zone between high/low with adjustable transparency
Price labels showing exact levels
Configurable line extension (10-200 bars forward)
Use Cases:
Day traders: Use Daily high/low with fast EMAs (9/20) for intraday support/resistance
Swing traders: Use Weekly high/low with slower EMAs (50/200) for trend confirmation
Scalpers: Combine 5-min previous levels with EMA 9 for quick entries
Position traders: Weekly/Monthly levels with EMA 200 for long-term bias
Why This Indicator:
Previous timeframe highs/lows act as natural support/resistance where price often reacts. Combined with EMAs for trend confirmation, you get clear levels to enter trades with confluence. The full customization allows you to match any trading style or chart theme.
[iQ]PRO Market Sessions+
This session-mapping tool provides a comprehensive visualization of institutional time cycles, ranging from major global shifts to micro-bracket intervals. It is designed for traders who utilize time-of-day influence and institutional delivery cycles to identify high-probability liquidity zones and volatility windows.
Theoretical Methodology
The PRO Market Sessions+ operates on the principle of temporal fractal analysis. It assumes that price action is not merely a series of random fluctuations but is governed by specific institutional operating hours where liquidity is most concentrated.
Macro and Micro Cycle Bracketing: The script utilizes a proprietary nesting logic to frame price action into distinct 270-minute (Macro), 90-minute (Standard), and 30/10-minute (Micro) intervals. By observing how price reacts within these specific time-based "boxes," traders can identify where institutional accumulation or distribution is occurring.
Equilibrium and Opening Volatility: The methodology emphasizes the importance of the "opening price" and the "equilibrium" (midpoint) of each session. These levels act as dynamic magnets and institutional pivots, helping to determine if a specific time bracket is trending or mean-reverting.
Multi-Session Convergence: By overlaying Asia, London, and New York sessions with high precision, the script identifies overlaps—periods where multiple global liquidity pools converge, often leading to the day's most significant moves.
Key Features
Fractal Time Segments: Toggle between 270, 90, 30, and 10-minute institutional brackets.
Global Session Mapping: High-fidelity visualization of Asia (18:00-02:30), London (02:30-07:00), and New York (07:00-16:00) sessions.
Automated Equilibrium (EQ) Calculation: Identifies the 50% retracement level of every time bracket automatically.
Institutional Open Tracking: Visualizes the opening price of each session to monitor "Power of 3" (Accumulation, Manipulation, Distribution) setups.
Historical Reference Levels: Automated plotting of Previous Day, Week, and Month Highs/Lows for institutional liquidity targeting.
Clean Visual Hierarchy: Uses dynamic box finalized logic to ensure a professional, non-cluttered chart interface.
How to Use
Step 1: Identify the Higher Timeframe Bias: Use the Daily and Weekly levels (automatically plotted) to determine the overall institutional direction.
Step 2: Monitor the Macro Brackets (270m): Observe if the AM or PM New York sessions are creating expansion or consolidation.
Step 3: Execute in Micro Windows: Look for price to reach the Equilibrium (EQ) or the Session Open of a 90m or 30m bracket for potential entries.
Step 4: Manage Risk: Utilize the High/Low labels within the brackets to place stops at recent liquidity points.
Settings & Configuration
Session Toggles: Independently enable or disable Asia, London, and New York (AM/PM) segments.
Interval Customization: Choose which nested timeframes (90m, 30m, 10m) to display based on your trading style.
Visual Aesthetics: Fully customizable colors, border widths, and label alignments to match any chart theme.
Reference Levels: Toggle Previous Day, Week, and Month High/Low lines.
RF iFVG MTF V1Inverse Fair Value Gaps (iFVGs) are a powerful confluence because they mark areas where the market first left a clear imbalance (an FVG), then later returned and proved participation by closing fully through that zone. In other words, they often highlight prices where liquidity was exchanged and orderflow “flipped,” making them useful as potential reaction areas for:
The RF iFVG MTF indicator Once confirmed, draws the iFVG zone and is projected forward as an actionable area of interest and remains active until price invalidates the zone. Use this zone from a higher time frame as a POI, or use it on the current chart time frame as an entry model.
You can run it on the current chart timeframe or enable MTF mode to detect iFVGs from a higher timeframe while plotting them directly on your chart for clean top-down context. Includes adjustable gap filtering, and inversion timing (N bars) to adjust the sensitivity of the iFVG logic
ninza999 ema trendThis is ultimate ema trend signail which allows you to make out visually and easily the trend as per ema . It turns green on bullih and turns red on bearish. It is best to use in combination with ninza999 bear bull indicator to get the best results .
Institutional Bottom Hunter ProInstitutional Bottom Hunter Pro: A Comprehensive Guide to Advanced Bottom Detection
Executive Summary
The Institutional Bottom Hunter Pro (IBH Pro) represents a paradigm shift in technical analysis for retail and institutional investors seeking to identify high-probability market bottoms. Unlike conventional oversold indicators that rely on single-dimensional analysis, IBH Pro employs an eight-layer ensemble methodology that synthesizes market regime detection, volume analysis, fractal geometry, volatility dynamics, statistical mean reversion, cycle theory, institutional footprint recognition, and machine learning-inspired adaptive weighting. This comprehensive approach transforms bottom-picking from speculation into a data-driven probabilistic framework.
I. The Specialty: What Makes IBH Pro Different
A. Multi-Dimensional Analytical Framework
Most technical indicators suffer from the "single lens" problem—RSI identifies oversold conditions, MACD reveals momentum divergence, and volume indicators track accumulation, but each operates in isolation. IBH Pro's revolutionary approach integrates seven independent analytical systems into a unified probability score, creating a holistic view of market conditions that individual indicators cannot provide.
The script's architecture mirrors institutional-grade quantitative analysis:
Market Regime Detection ensures signals only activate during genuine correction phases
Wyckoff-Inspired Volume Analysis identifies supply exhaustion using climactic volume, absorption patterns, and effort-versus-result dynamics
Fractal Pattern Recognition detects structural bottoms through Williams fractals, double/triple bottoms, and reversal candlestick patterns
Volatility Regime Analysis quantifies fear extremes using ATR percentiles, Bollinger Band compression, and volatility term structure
Statistical Mean Reversion employs multi-timeframe Z-scores to measure price displacement from equilibrium
Ehlers Cycle Detection identifies cyclical troughs using autocorrelation and phase analysis
Passive Buying Detection reveals institutional accumulation through Money Flow Index divergences, Chaikin Money Flow, and volume footprint analysis
B. Adaptive Weight Optimization (GBM-Inspired Machine Learning)
The true innovation lies in the Gradient Boosting Machine (GBM) ensemble scoring system with adaptive weight optimization. Traditional indicators assign static importance to each component, but IBH Pro continuously learns from its own performance:
Performance Tracking: The system monitors whether previous signals resulted in profitable price advances
Dynamic Weight Adjustment: Components that contribute to successful signals receive increased weighting, while underperforming factors are de-emphasized
Market Adaptation: The indicator automatically adjusts to changing market conditions—for example, increasing volume analysis weight during climactic selloffs or emphasizing cycle detection in ranging markets
This creates a self-improving system that becomes more accurate over time, unlike static indicators that degrade as market conditions evolve.
C. Interaction Effect Multipliers
IBH Pro recognizes that analytical components don't operate independently—they create synergistic relationships:
Volume + Fractal Synergy: A double bottom pattern (fractal) confirmed by volume exhaustion carries exponentially higher probability than either signal alone
Mean Reversion + Volatility Synergy: Extreme statistical displacement combined with volatility expansion indicates capitulation
Cycle + Correction Synergy: Cyclical troughs occurring during technical corrections represent optimal entry zones
The script applies multiplicative bonuses when multiple high-probability conditions align, capturing the compounding effect of confluence that professional traders utilize.
II. How the Eight-Layer Architecture Works
Layer 1: Market Regime Detection
Purpose: Filter out false signals during trending markets where "oversold" conditions can persist indefinitely.
Methodology:
The system calculates drawdown from the recent high (50-200 bar lookback) and requires minimum decline thresholds before activating. It analyzes:
Momentum decay: Rate-of-change deterioration from peak values
Trend strength weakening: ADX decline indicating trend exhaustion
Moving average displacement: Distance below 20/50/100 SMAs
User Application: Set the "Minimum Drawdown for Correction" parameter based on asset volatility:
Low volatility stocks (utilities, consumer staples): 5-8%
Medium volatility (large-cap tech, industrials): 8-12%
High volatility (small-caps, growth stocks): 12-20%
This ensures the system only hunts bottoms when genuine corrections occur, not during minor consolidations.
Layer 2: Volume Supply Exhaustion Analysis
Purpose: Identify when selling pressure has been fully absorbed by buyers—a hallmark of institutional bottoming patterns.
Wyckoff-Inspired Components:
Climactic Volume Detection: Identifies panic selling when volume exceeds the 20-day average by 2x+ (adjustable multiplier), particularly on down days
Volume Dry-Up After Climax: Tracks whether volume contracts below 60% of average following the climax—indicating seller exhaustion
Effort vs. Result Analysis: Measures whether high volume (effort) produces minimal price decline (result), suggesting absorption by strong hands
Up/Down Volume Ratio: Segregates volume by bar direction, revealing when buying volume begins dominating despite price weakness
OBV/A-D Divergences: Detects when cumulative volume indicators trend upward while price trends downward—classic accumulation signature
User Application:
In high-volume liquid stocks, increase the Climax Volume Multiplier to 2.5-3.0 to filter noise
For low-volume small-caps, decrease to 1.5-2.0 to capture subtler signals
Enable "Use Up/Down Volume Analysis" for all equity analysis; disable for highly illiquid instruments
Layer 3: Fractal Pattern Recognition
Purpose: Identify structural price formations that mark trend reversals through geometric pattern analysis.
Components:
Williams Fractals: Detects swing highs/lows using N-bar symmetry (default 5 bars)
Double/Triple Bottom Detection: Identifies repeated tests of support within tolerance thresholds (default 2%), storing the five most recent fractal lows for pattern matching
Reversal Candlestick Patterns: Recognizes hammers, bullish engulfing, morning stars, dragonfly dojis, and bullish harami formations
Support Proximity Analysis: Measures distance to recent support zones and identifies bounces with strong closes
User Application:
Daily timeframe: Use default 5-bar fractal period with 2% tolerance
Weekly timeframe: Increase to 7-bar period with 3% tolerance
Intraday (1-hour): Decrease to 3-bar period with 1.5% tolerance
The Pattern Tolerance parameter accommodates price volatility—increase for volatile instruments
Layer 4: Volatility Regime Analysis
Purpose: Quantify fear extremes and identify volatility compression/expansion cycles that precede reversals.
Components:
ATR Percentile Ranking: Determines if current volatility ranks in the top 25% of recent range—indicating fear
Bollinger Band Analysis:
Price below lower band = oversold extreme
Band width contraction = squeeze (energy building for reversal)
%B calculation shows precise position within bands
Keltner Channel Integration: True squeeze detection when Bollinger Bands compress inside Keltner Channels
Volatility Term Structure: Compares 20-day vs. 50-day historical volatility to identify "backwardation" (short-term vol exceeding long-term), which marks panic conditions
User Application:
Bollinger StdDev: Keep at 2.0 for standard analysis; increase to 2.5-3.0 for extremely volatile assets to reduce false oversold signals
Keltner Multiplier: Default 1.5 works for most equities; increase to 2.0 for high-beta stocks
Watch for squeeze releases (when both ATR contracts then expands AND Bollinger Bands widen) as high-probability entry triggers
Layer 5: Statistical Mean Reversion
Purpose: Apply rigorous statistical methods to measure price displacement from equilibrium across multiple timeframes.
Components:
Multi-Method Z-Score Calculation:
SMA-based Z-score (classical approach)
EMA-based Z-score (weight recent data)
Linear regression Z-score (trend-adjusted)
VWAP deviation (volume-weighted equilibrium)
RSI Z-Score: Identifies when RSI itself becomes statistically extreme relative to its historical distribution
Multi-Timeframe Deviation: Measures distance from 20/50/100 SMAs simultaneously to detect structural dislocation
User Application:
Z-Score Threshold: Default -1.5 is moderate; decrease to -2.0 for higher-conviction signals with fewer triggers
Mean Reversion Period:
30-40 bars for swing trading
50-70 bars for position trading
80-100 bars for long-term investing
RSI Oversold Level: Keep at 30 for balanced signals; lower to 25 for higher conviction
Layer 6: Cycle Detection (Ehlers Algorithms)
Purpose: Identify dominant market cycles and detect when price reaches cyclical troughs, similar to institutional timing models.
Methodology:
The system employs John Ehlers' digital signal processing techniques:
High-Pass Filter: Removes trend component to isolate cyclical behavior
Super Smoother: Eliminates noise while preserving cycle structure
Autocorrelation Analysis: Scans 10-50 bar periods to identify the dominant cycle length
Phase Calculation: Determines current position within the cycle (trough, peak, or midpoint)
Cycle Stochastic: Measures whether the detrended price is in the bottom 20% of its cycle range
User Application:
Minimum/Maximum Cycle Period: Adjust based on trading timeframe:
Day traders: 5-20 bars
Swing traders: 10-50 bars (default)
Position traders: 20-80 bars
Cycle detection works best on mean-reverting instruments (indices, large-caps) vs. strong trending small-caps
High cycle confidence (autocorrelation >0.5) increases signal reliability significantly
Layer 7: Passive Buying Detection
Purpose: Identify institutional accumulation patterns that occur beneath the surface before public recognition.
Components:
Money Flow Index: Detects oversold conditions (<20) and bullish divergences
Chaikin Money Flow: Reveals buying pressure even on down days when CMF remains positive
Force Index Divergence: Identifies weakening selling force despite continued price decline
Accumulation Pattern Recognition: Counts down-days with positive money flow (passive buying)
Institutional Footprint: Detects high-volume reversals with closes near highs at support levels
User Application:
This layer is particularly valuable for identifying smart money activity before trend reversals
Strong passive buying scores (>60) often precede sustainable rallies by 3-10 bars
Combine with volume exhaustion for highest-conviction setups
Layer 8: GBM Ensemble Scoring
Purpose: Synthesize all seven analytical layers into a unified 0-100 probability score using adaptive machine learning.
Process:
Initial Weights: Start with balanced distribution (Correction: 15%, Volume: 18%, Fractal: 15%, Volatility: 12%, Mean Reversion: 15%, Cycle: 10%, Passive: 15%)
Performance Tracking: Monitor whether signals lead to >2% gains within 5-20 bars
Gradient Descent Adaptation: Successful components receive incremental weight increases; failed components decrease
Normalization: Weights continuously rebalance to sum to 100%
Interaction Effects: Apply multiplicative bonuses (default 1.2x) when multiple components exceed thresholds simultaneously
Final Filtering: Apply the correction regime filter—reducing scores by 40% when not in defined correction phase
User Application:
Learning Rate: Default 0.02 provides steady adaptation; increase to 0.05 for faster learning in fast-changing markets
Weight Boundaries: Min 0.08 / Max 0.35 prevents over-reliance on single factors
Interaction Boost: Increase to 1.3-1.5 when seeking only highest-confluence setups
Allow 50-100 bars for the adaptive system to calibrate to your specific asset
III. How to Use IBH Pro Effectively for Bottom Finding
A. Signal Hierarchy and Action Framework
STRONG SIGNALS (Score ≥ 65, Green Triangle)
Interpretation: High-probability institutional bottom with 4+ layers confirming
Action for Investors:
Aggressive: Enter 50-75% of intended position immediately
Conservative: Enter 33% immediately, scale in on any lower retest
Risk Management: Place stop-loss 3-5% below signal bar low (adjust for ATR)
Expected Outcome: 60-75% success rate for 5%+ gain within 2-4 weeks
MODERATE SIGNALS (Score 50-64, Yellow Triangle)
Interpretation: Developing bottom with 2-3 confirming layers
Action for Investors:
Watch for additional confirmation (volume spike, reversal candle)
Enter 25-33% position as "scout" entry
Prepare for potential retest of lows
Risk Management: Tighter stop (2-3% below low) or time-based stop (exit if no follow-through in 3 days)
Expected Outcome: 45-60% success rate
WEAK SIGNALS (Score 40-49)
Interpretation: Early-stage bottom formation or false signal
Action for Investors:
Add to watchlist only
Wait for score improvement to Moderate/Strong
Useful for positioning ahead of potential signals
Not recommended for position entry
B. Optimal Entry Techniques
1. Immediate Entry (Aggressive)
Enter at close of signal bar or next bar open
Best when: Strong signal + climactic volume + reversal candle
Risk: Potential for immediate 2-3% drawdown before reversal
2. Confirmation Entry (Balanced)
Wait 1-2 bars after signal for bullish confirmation:
Higher close than signal bar
Above-average volume on up-day
Break above short-term resistance
Lower risk but may miss 1-2% of initial move
3. Scale Entry (Conservative)
Enter 25% on signal
Add 25% on successful retest of low (must hold above signal low)
Add 25% on break above key resistance (20-day SMA)
Reserve 25% for breakout above correction high
Lowest risk but requires patience and discipline
4. Retest Entry (Patient)
Wait for price to retest signal low within 5-10 bars
Enter only if:
Volume contracts significantly on retest (vs. signal day)
Price holds above signal low (higher low)
Reversal candle forms
High probability but signals may not provide retest opportunity
C. Dashboard Interpretation Guide
The real-time dashboard provides critical intelligence for decision-making:
Component Score Analysis:
Scores >70 (Green): Strong confirmation from that layer
Scores 50-69 (Yellow): Moderate support
Scores <50 (Gray): Weak or no signal
Look for "Stacked" Conditions:
Ideal Setup: 4+ components >60 with Final Score >70
Good Setup: 3 components >60 with Final Score >60
Weak Setup: Only 1-2 components elevated
Weight Column Intelligence:
Increasing weights indicate the system is finding that component predictive for current market conditions
If Volume weight climbs to 25-30%, the system is identifying volume-driven bottoms
If Cycle weight grows, regular cyclical patterns are dominant
Correction Indicator:
"✓ CORR" (Green checkmark) = Required for high scores
"✗ CORR" (Red X) = Not in correction; signals will be suppressed
If you receive weak signals during strong uptrends, this is protective filtering working correctly
D. Multi-Timeframe Analysis Strategy
For highest-probability entries, apply IBH Pro across multiple timeframes:
Weekly + Daily Alignment (Highest Conviction):
Weekly chart shows Moderate/Strong signal (macro bottom)
Daily chart triggers Strong signal within 5 bars of weekly signal
Action: This is a major bottoming structure—allocate larger position size (1.5-2x normal)
Daily Primary with Hourly Timing:
Daily chart shows Moderate signal (bottom forming)
Switch to 1-hour chart for precise entry
Enter when hourly chart triggers Strong signal
Advantage: Improved entry price by 1-3%, tighter stop-loss placement
Avoid Counter-Trend Signals:
If weekly timeframe is in strong downtrend (no correction detected), ignore daily signals
Wait for weekly regime change before acting on lower timeframes
E. Integration with Fundamental Analysis
IBH Pro is most powerful when combined with fundamental screening:
Optimal Workflow:
Fundamental Filter First:
Screen for quality companies: positive earnings growth, manageable debt, strong ROE
Identify undervalued stocks: P/E below sector average, PEG <1.5
Check insider buying and institutional ownership trends
Apply IBH Pro to Filtered Universe:
Add 20-50 fundamentally sound stocks to watchlist
Monitor IBH Pro scores daily
Act when Strong signals appear on quality names
Avoid Value Traps:
IBH Pro may signal bottoms on deteriorating companies
Always verify business fundamentals haven't permanently impaired
Declining revenue, margin compression, or sector disruption can override technical signals
Example: A pharmaceutical stock drops 25% on FDA trial delay. IBH Pro triggers Strong signal as panic subsides. Fundamental analysis reveals:
✓ Drug has alternative approval pathway
✓ Company has 4 other pipeline drugs
✓ Balance sheet supports 2+ years of operations
Decision: High-conviction entry
Counterexample: Retail stock drops 30% on bankruptcy rumors. IBH Pro signals potential bottom. Fundamental check shows:
✗ Negative cash flow for 3 consecutive quarters
✗ Debt covenant violations imminent
✗ Insider selling accelerated before drop
Decision: Avoid despite technical signal
IV. Usefulness for Different Investor Profiles
A. Long-Term Investors (Buy-and-Hold)
Primary Value: Quality Entry Points
Long-term investors often struggle with timing—buying quality stocks at temporarily depressed prices rather than elevated valuations.
How IBH Pro Helps:
Patience Enforcement: Provides objective criteria to wait for corrections rather than chasing strength
Drawdown Minimization: Entering on Strong signals typically reduces initial drawdown by 5-15% vs. random entry
Dollar-Cost Averaging Optimization: Use signals to time larger periodic purchases during corrections
Psychological Comfort: Quantified probability scores reduce emotional decision-making during fearful markets
Example Application:
Investor wants to build 5% portfolio position in AAPL over 6 months
Instead of buying $2,000 monthly regardless of price:
Allocate $12,000 total budget
Buy $3,000 on any Strong signal
Buy $2,000 on Moderate signals
Skip months without signals (hold cash)
Result: 3-8% better average entry price, lower portfolio volatility
B. Swing Traders (2-6 Week Holding Period)
Primary Value: High-Probability Reversal Entries
Swing traders need precise bottom identification to maximize risk-reward ratios.
How IBH Pro Helps:
Win Rate Improvement: Strong signals typically improve win rates from 50-55% (standard technical analysis) to 60-75%
Risk-Reward Optimization: Entering near bottoms enables 3:1 to 5:1 reward-to-risk ratios
Position Sizing Confidence: Higher probability allows for larger position sizes (2-3% portfolio risk vs. 1%)
Reduced Holding Time: Earlier entries capture the full reversal move, reducing opportunity cost
Example Trade:
Stock in correction: high $58, current $51 (-12%)
IBH Pro triggers Strong signal at $51 (Score: 72)
Analysis:
Entry: $51
Stop: $48.50 (3% below signal low) = $2.50 risk
Target 1: $55.50 (20-day SMA resistance) = $4.50 reward (1.8:1)
Target 2: $58 (prior high) = $7 reward (2.8:1)
Scale out: 50% at Target 1, 50% at Target 2
Expected value: Positive even with 50% win rate; highly positive at 65%+ win rate
C. Options Traders
Primary Value: Volatility Collapse and Directional Plays
Options traders benefit from both directional movement and volatility dynamics.
How IBH Pro Helps:
IV Crush Anticipation: Volatility scores >70 indicate elevated IV; bottoming often precedes IV collapse (profitable for option sellers)
Call Option Entry Timing: Strong signals provide high-probability entry for call purchases when IV is elevated but ready to reverse
Put Credit Spread Opportunities: Sell puts at signal support levels with high confidence of support holding
Leap Entry Points: Identify ideal entry for 6-12 month call options at maximum fear/minimum price
Example Strategy - Bull Put Spread:
Stock drops to $50, IBH Pro Strong signal (Score: 68)
Volatility Score: 75 (IV rank 80%)
Trade:
Sell $48 put (30 delta)
Buy $45 put (15 delta)
Collect $0.80 credit on $3 spread
Max profit: $80 per spread (26% return)
Max risk: $220 per spread
Probability of profit: ~70% (combines 30 delta with signal confirmation)
Hold 30-45 DTE
Example Strategy - Call Purchase:
Stock at $45, IBH Pro Strong signal
Buy 60-90 DTE call, $47.50 strike (slightly OTM)
Premium: $1.50
Target: 100% return ($3.00) as stock rallies to $52-55
Stop: 50% loss ($0.75) if signal fails
Risk-reward: 2:1 with 65% win rate = excellent expected value
D. Portfolio Managers (Institutional/Family Office)
Primary Value: Systematic Rebalancing and Tactical Allocation
Portfolio managers need disciplined, rules-based approaches for tactical decisions.
How IBH Pro Helps:
Rebalancing Timing: Instead of calendar-based rebalancing, use signals to add to underweight positions during corrections
Cash Deployment: Provides objective criteria for deploying dry powder during market corrections
Sector Rotation: Identify which sectors are bottoming before others
Risk Budgeting: Allocate more risk capital to positions entered on Strong signals (statistically justified)
Example Application - Sector Rotation:
Technology sector enters correction (NDX -8%)
Apply IBH Pro to QQQ and top 10 tech holdings
QQQ triggers Strong signal (Score: 71)
AAPL: Strong (68), MSFT: Moderate (58), NVDA: Weak (43)
Action:
Overweight tech sector by 2% (from neutral to +2%)
Within tech, overweight AAPL and MSFT
Underweight or neutral NVDA until signal improves
Result: Capture sector recovery with optimized stock selection
V. Parameter Optimization for Different Markets
A. Large-Cap Equities (S&P 500, Blue Chips)
Recommended Settings:
Primary Lookback: 50 bars
Minimum Drawdown: 8%
Volume Climax Multiplier: 2.0-2.5
Signal Threshold: 65%
Mean Reversion Period: 50 bars
Rationale: Large-caps have moderate volatility, regular corrections, and reliable volume patterns. Standard settings work well.
B. Small-Cap/Mid-Cap Growth Stocks
Recommended Settings:
Primary Lookback: 40 bars (faster cycles)
Minimum Drawdown: 12-15% (higher volatility)
Volume Climax Multiplier: 1.75-2.0 (more erratic volume)
Signal Threshold: 60% (accept slightly more signals due to volatility)
Mean Reversion Period: 40 bars
Rationale: Small-caps experience sharper corrections but faster recoveries. Adjust thresholds for higher volatility while maintaining signal quality.
C. Index ETFs (SPY, QQQ, IWM)
Recommended Settings:
Primary Lookback: 60-70 bars (longer cycles)
Minimum Drawdown: 6-8% (indices mean-revert more reliably)
Volume Climax Multiplier: 2.5-3.0 (huge volume spikes mark capitulation)
Signal Threshold: 70% (require higher confidence for broader market calls)
Cycle Min/Max: 15-60 bars (indices have more regular cycles)
Rationale: Indices are more efficient, with clearer cycles and volume patterns. Higher standards appropriate for macro timing.
D. Volatile Sectors (Biotech, Cannabis, Crypto-Related)
Recommended Settings:
Primary Lookback: 40 bars
Minimum Drawdown: 15-25% (extreme volatility)
Volume Climax Multiplier: 1.5-1.75 (high volume is normal)
Signal Threshold: 55-60% (perfect signals rare in chaos)
Bollinger StdDev: 2.5-3.0 (wider bands for volatility)
Pattern Tolerance: 3-4% (less precise bottoms)
Rationale: These sectors require relaxed parameters to generate actionable signals while accepting higher false positive risk.
VI. Advanced Techniques and Best Practices
A. Signal Confirmation Checklist
Before acting on any IBH Pro signal, verify:
✓ Correction Confirmed: Dashboard shows "✓ CORR" in green
✓ Multi-Component Agreement: At least 3 components scoring >60
✓ Volume Behavior: Either climactic spike or exhaustion pattern present
✓ No Fundamental Deterioration: Recent earnings/news don't suggest permanent impairment
✓ Broader Market Alignment: Market indices not in free-fall panic
✓ Sector Context: Sector showing stabilization or relative strength
Red Flags to Avoid:
✗ Only 1-2 components elevated (narrow signal basis)
✗ Volume still increasing on down days (selling not exhausted)
✗ Negative fundamental catalysts pending (earnings miss, regulatory issues)
✗ Extremely weak broader market (systemic risk)
B. Position Sizing Based on Signal Strength
Strong Signal (65-74):
Standard position: 2-3% portfolio allocation
Max loss if stopped: 0.4-0.6% of portfolio (assuming 20% stop distance)
Strong Signal (75-84):
Increased position: 3-4% portfolio allocation
Conviction justified by high score
Strong Signal (85+):
Maximum position: 4-5% portfolio allocation
Rare occurrence, exceptional confluence
Moderate Signal:
Reduced position: 1-2% portfolio allocation
Exploratory entry only
C. Stop-Loss Placement Strategies
ATR-Based (Recommended):
Stop = Entry Price - (1.5 × 14-period ATR)
Adjusts for volatility automatically
Typical range: 3-7% below entry
Fractal-Based:
Stop = 1-2% below most recent fractal low
Respects structural support
Risk varies based on fractal location
Time-Based (Supplementary):
If no 2% profit within 5-10 bars, consider exit
Prevents capital tie-up in non-performing positions
Never: Use arbitrary stops (like "always 5%") without considering instrument volatility
D. Profit-Taking Methodology
Resistance-Based Targets:
Target 1: 20-day SMA (typically 3-6% gain)
Take 33-50% of position
Rationale: Common first resistance after correction
Target 2: Prior swing high / correction origin (typically 8-15% gain)
Take 25-33% of position
Move stop to breakeven on remainder
Target 3: Trail stop on final portion
Use 2×ATR trailing stop
Capture extended moves
Time-Based Exits:
Review all positions at 20 bars after entry
If gain <3% and momentum weak, consider exit for redeployment
E. Common Mistakes to Avoid
1. Ignoring the Correction Filter
Mistake: Taking signals during strong uptrends when not in correction
Result: Buying minor dips that continue lower or provide minimal reward
Solution: Only act when "✓ CORR" shows in dashboard
2. Over-Trading Weak Signals
Mistake: Entering positions on scores below 60
Result: Win rate drops to 40-45%, eroding capital
Solution: Maintain discipline to wait for Moderate (60+) or Strong (65+) signals
3. Position Sizing Without Conviction
Mistake: Using same position size for score of 65 vs. 80
Result: Under-allocating to best opportunities
Solution: Scale position size with signal strength
4. Neglecting Fundamental Context
Mistake: Buying technical bottoms in fundamentally broken companies
Result: Value traps that never recover
Solution: Always screen for fundamental soundness first
5. Abandoning Signals Prematurely
Mistake: Exiting at first 2-3% drawdown after entry
Result: Missing successful reversals due to normal volatility
Solution: Use proper stop-loss distance based on ATR, accept initial volatility
VII. Real-World Performance Expectations
A. Back-testing Considerations
While this script doesn't include built-in back-testing, manual historical analysis typically shows:
Strong Signals (Score >70):
Win Rate: 60-75% (varies by market conditions)
Average Gain (Winners): 8-15% over 2-4 weeks
Average Loss (Losers): 3-6% (assuming disciplined stops)
Expected Value: Highly positive with proper risk management
Moderate Signals (Score 60-70):
Win Rate: 50-65%
Average Gain: 6-12%
Average Loss: 4-7%
Expected Value: Positive but requires larger sample size
Key Variables Affecting Performance:
Market regime: Bull markets show 70%+ win rates; bear markets 50-60%
Sector: Technology/growth higher win rate than defensive sectors
Volatility environment: High VIX periods improve signals (fear = opportunity)
B. Realistic Investor Outcomes
Conservative Long-Term Investor:
Uses Strong signals only for entry timing
Holds positions 3-12 months
Improved entry pricing: 5-12% better than random timing
Reduced portfolio volatility: 15-25% lower drawdowns
Annual alpha generation: 2-4% above buy-and-hold
Active Swing Trader:
Takes Strong + Moderate signals
Holds 2-6 weeks, 20-30 trades/year
Win rate: 60-65%
Average R-multiple: 2.5:1
Annual return: 15-30% (assuming 2% portfolio risk per trade)
Options Trader:
Uses signals for directional and volatility plays
Win rate: 55-70% (depending on strategy)
Average return per trade: 20-40%
10-15 trades/year
Annual return: 25-50% on allocated capital
VIII. Conclusion: The Institutional Edge for Retail Investors
The Institutional Bottom Hunter Pro democratizes quantitative analysis previously available only to hedge funds and proprietary trading desks. By synthesizing eight independent analytical frameworks into an adaptive, machine-learning-inspired ensemble model, IBH Pro transforms bottom-picking from gambling into disciplined, probabilistic investing.
Key Advantages:
Multi-Dimensional Analysis: Overcomes single-indicator blindness through comprehensive integration
Adaptive Intelligence: Self-improving system that learns from performance
Risk Management: Signals only activate during defined corrections with sufficient probability
Transparency: Dashboard reveals exactly which factors drive each signal
Flexibility: Customizable parameters adapt to any instrument, timeframe, or strategy
Ultimate Value Proposition:
For investors, the compounding effect of improved entry timing cannot be overstated. Entering quality positions at 8-12% better prices through systematic correction buying achieves several critical outcomes:
Lower initial drawdowns reduce emotional stress and forced selling
Higher starting yields on dividend stocks improve income returns
Improved risk-adjusted returns (Sharpe ratio) enhance long-term compounding
Increased confidence enables larger position sizing and conviction holds
IBH Pro doesn't eliminate risk or guarantee profits—no analytical tool can. However, it provides a systematic, repeatable framework for identifying high-probability bottoming conditions using institutional-grade methodology. When combined with fundamental analysis, disciplined risk management, and patient execution, it becomes a powerful edge in the perpetual challenge of buying low and selling high.
Final Recommendation:
Start with the default parameters on a watchlist of 15-20 quality stocks. Observe signals for 20-30 trading days before committing capital. Back-test manually on historical charts to build confidence. Begin with small position sizes (1-2%) and increase as you validate performance in your specific universe. Track your results meticulously—win rate, average gain/loss, time to profit. Use this data to refine parameters and develop your personalized application of this sophisticated tool.
The difference between successful institutional investors and struggling retail traders isn't access to different markets—it's access to better analytical frameworks. IBH Pro provides that framework. Your discipline, patience, and continuous learning will determine your success in applying it.
TRI - Multi-Timeframe Fair Value Gaps (FVG)TRI - MULTI-TIMEFRAME FAIR VALUE GAPS v1.0.0
HOW TO USE THIS INDICATOR:
This indicator displays Fair Value Gap (FVG) zones from higher timeframes on your current chart.
FVGs are areas of institutional order flow imbalance that often act as support/resistance levels.
INITIAL SETUP:
Select FVG Timeframe: In "Timeframe Configuration" settings, choose which higher timeframe to use
for FVG detection. Default settings:
1m-5m charts → 4h FVG
15m charts → 4h FVG
30m-1h charts → 4h FVG
4h charts → 4h FVG
Daily charts → Daily FVG
Weekly charts → Weekly FVG
Monthly charts → Monthly FVG
Set FVG Threshold: Filters out gaps that are too small (default 0.1%). Increase to see only significant gaps.
Customize Colors: In "Visual Settings" modify colors, borders, and zone sizes.
HOW TO INTERPRET ZONES:
GREEN Zones (Bullish FVG): Bullish gap - demand area. Price often returns here to fill the gap.
Use as support for LONG trades.
RED Zones (Bearish FVG): Bearish gap - supply area. Price often returns here to fill the gap.
Use as resistance for SHORT trades.
ORANGE Zones: Mitigated zones - price has already closed through the zone. They remain visible for
reference but are no longer active as support/resistance.
TRADING STRATEGY:
LONG: Look for bounces on bullish FVG zones (green) when price returns to the zone after an upward move.
Place stop-loss below the bottom of the FVG zone.
SHORT: Look for bounces on bearish FVG zones (red) when price returns to the zone after a downward move.
Place stop-loss above the top of the FVG zone.
CONFIRMATION: Combine with other indicators (RSI, MACD, Volume) to confirm bounce signals.
ENTRY: Enter when price touches the FVG zone and shows bounce signs (reversal candles, volume).
RECOMMENDED SETTINGS:
FVG Threshold: 0.1-0.3% for intraday, 0.5-1% for swing trading
Mitigated FVG Bars: 10-20 HTF bars to keep mitigated zones visible as reference
Zone Extension Bars: 2-5 bars to extend zones beyond the last closed candle
Show Labels: Enable to see timeframe and gap percentage
WHEN TO USE IT:
Particularly useful for intraday traders who want to see higher timeframe zones on their trading chart.
Works on all timeframes and asset classes. FVG zones are more reliable when:
They are on higher timeframes (4h, Daily, Weekly)
They have a significant gap percentage (>0.5%)
They haven't been mitigated yet (green or red, not orange)
They are supported by high volume at creation time
TRI - Support/Resistance Multi TimeframeTRI - MTF S/R - BREAKOUT TRADING GUIDE
🎯 BREAKOUT STRATEGY:
This indicator identifies key S/R levels where momentum shifts occur.
Use these levels for high-probability breakout entries.
📈 LONG BREAKOUT SETUP:
Wait for price to approach a RESISTANCE level (above current price)
Look for increasing volume as price tests the level
Enter LONG when price closes decisively ABOVE the resistance zone
Set stop-loss just below the broken resistance (now support)
Target: next resistance level above, or 1:2 risk/reward
📉 SHORT BREAKOUT SETUP:
Wait for price to approach a SUPPORT level (below current price)
Look for increasing volume as price tests the level
Enter SHORT when price closes decisively BELOW the support zone
Set stop-loss just above the broken support (now resistance)
Target: next support level below, or 1:2 risk/reward
⚡ PRO TIPS:
Higher timeframe levels (D, W) are STRONGER - breakouts more reliable
Use "Zones" mode to see the full breakout area, not just a line
Multiple levels clustered together = stronger S/R zone
Failed breakout (price returns inside zone) = potential reversal trade
Combine with volume confirmation for best results
🔔 ALERTS:
Set alerts for new levels on current TF to spot fresh momentum shifts in real-time.
🔗 COMBINE WITH OTHER INDICATORS:
For best results, use this indicator together with:
Williams Fractals - Confirms swing highs/lows at S/R levels
EMA (50/200) - Dynamic support/resistance for trend confirmation
When price bounces from a static S/R level AND respects EMA = high-probability trade
📊 WHY MACD?
This indicator uses MACD histogram to identify the most significant S/R levels:
MACD measures momentum shifts - levels form where momentum changes direction
Histogram dips in positive territory = bullish momentum pausing = SUPPORT zone
Histogram peaks in negative territory = bearish momentum pausing = RESISTANCE zone
Only significant extremes are marked, filtering out noise
Contra CO - V1.01 MyBillionincthis is basis Fractals, pattern break and takes trade basis support and resistance levels.
Use it with responsibility - its a tactic and NOT a scalable strategy
