Começar

Indicadores e estratégias

Sigmoid Transition Trailing Stop [LuxAlgo]The Sigmoid Transition Trailing Stop indicator provides a dynamic risk management tool that utilizes a mathematical sigmoid function to smoothly adjust stop levels when price trends become overextended. Unlike traditional trailing stops that move linearly or remain static until a new high/low is formed, this script proactively "catches up" to price during periods of high momentum using a non-linear transition. 🔶 USAGE The indicator functions as a trend-following stop-loss or take-profit level. When the price crosses the trailing stop, the trend direction flips, and a new stop is calculated based on the ATR-derived distance. The unique behavior of this tool occurs during "Adjustment" phases. When the distance between the price and the trailing stop becomes too wide (exceeding the initial ATR multiplier), the script triggers a sigmoid transition. During this phase: The trailing stop line becomes solid (0% transparency) to indicate an active adjustment. The stop level moves towards the price following an S-curve, providing a smooth acceleration and deceleration of the stop level. The adjustment concludes once the sigmoid duration is reached or if the stop gets too close to the price (defined by the Min Distance setting). 🔹 Visual Cues Green Line/Fill: Indicates a bullish trend where the stop is below the price. Red Line/Fill: Indicates a bearish trend where the stop is above the price. Solid Line: The sigmoid adjustment is currently active, moving the stop closer to price. Transparent Line: The stop is in its standard state, maintaining its level or trailing highs/lows. 🔶 DETAILS The core of the script is the sigmoid function, which creates a natural-looking transition between two price levels. Mathematically, it maps a linear time input (bars passed) to an S-shaped curve between 0 and 1. The logic ensures that the "trailing" property is never violated; even during a sigmoid transition, the stop level can only move in the direction of the trend (up for bullish, down for bearish). If the price moves against the trend during an adjustment, the stop will simply hold its level until the price moves favorably again or the adjustment period ends. 🔶 SETTINGS 🔹 General Settings ATR Length: The lookback period used to calculate the Average True Range, which determines the volatility-based distance of the stop. ATR Multiplier: The base distance (in ATR units) used when the trend first flips. Sigmoid Length (Bars): The number of bars over which the sigmoid transition occurs once triggered. Sigmoid Amplitude (ATR Units): The maximum distance the stop is allowed to travel toward the price during an adjustment phase. Min Distance (ATR Units): A safety buffer that prevents the sigmoid adjustment from moving the stop too close to the current price, preventing premature exits.
Indicador Pine Script®
por LuxAlgo
3
Filtered Swing Trend Signals v3This is a classic algorithmic trading refinement. Capturing the trend by scaling back in after a pullback is often where the biggest gains are made. Transition the script from a single-shot entry to a Continuous Trend Re-entry model. The Re-Entry Trigger (longContinuation / shortContinuation): After a TP is hit, the script is no longer locked out of the trend. If the Supertrend is still active, it waits for the price to cross back over your 13-period EMA (indicating the short-term pullback is over) and fires a new signal, provided the MACD fuel is still present. State Reset: The variables entryBar and entryPrice reset completely on these new continuation signals. This ensures the 5-candle minimum hold rule applies cleanly to every single leg of the trade, not just the first one. Max Labels: I added max_labels_count=500 to the indicator() declaration. Because this script will now fire multiple entries and TPs during a massive trend, you need this to prevent TradingView from hiding older signals due to its default 50-label limit
Indicador Pine Script®
por ARX_84
10
SuperTrend Cluster (Zeiierman)█ Overview SuperTrend Cluster (Zeiierman) is a weighted multi-SuperTrend regime indicator that combines 5 differently configured SuperTrend models into a single consensus view. Instead of relying on a single ATR length and a single factor, the script builds a cluster of fast, medium, and slow SuperTrend members, measures how strongly they agree, and then plots the dominant bullish or bearish regime as a weighted trend line. The result is a cleaner trend map built from internal SuperTrend agreement rather than a single trend line. █ How It Works For each bar, the script does 3 main things: ⚪ Build 5 SuperTrend members Each member first smooths the source with the selected moving average type and length, then applies its own SuperTrend calculation using the chosen ATR Length and Factor. That gives 5 outputs: 5 direction states 5 active SuperTrend lines ⚪ Measure weighted agreement Each member contributes its assigned weight to either the bullish side or the bearish side. The script sums: Bullish cluster weight Bearish cluster weight Those are converted into: Bull Cluster Score Bear Cluster Score Cluster Strength So the final regime is based on weighted internal agreement rather than on a single member. ⚪ Filter through the Base SuperTrend Even if the cluster is bullish or bearish enough, the selected Base SuperTrend must also align with that side before the final regime flips. That means: A bullish cluster only becomes active if the base member is bullish A bearish cluster only becomes active if the base member is bearish This keeps the final output more structured and avoids cluster flips that are not confirmed by the chosen anchor member. █ How to Use Use this for trend trading with SuperTrend. Bull Cluster → look for longs. Bear Cluster → look for shorts. The % shows how strong the trend is: Higher % = stronger agreement Low % = weak/mixed market Use the weighted SuperTrend line as your guide: Above it → bullish bias Below it → bearish bias Pullbacks to the line = potential entries Best trades happen when direction and score are both strong. █ How to Read the Cluster Scores Bull Cluster Score Measures how much of the total weighted cluster is currently bullish. Bear Cluster Score Measures how much of the total weighted cluster is currently bearish. █ Settings Consensus Threshold — minimum weighted agreement required before the bullish or bearish cluster becomes valid. Base SuperTrend Index — selects which of the 5 members acts as the base reference for flip markers, label placement, and final alignment. ATR Length — controls how fast or slow the volatility band reacts. Factor — controls how far the SuperTrend line sits from the price. Smoothing — selects the moving average used before the SuperTrend is calculated. Length — controls how much smoothing is applied. Weight — controls that member’s influence inside the final weighted cluster. Key effect: Lower ATR Length + lower Factor = faster, more reactive member Higher ATR Length + higher Factor = slower, more stable member Higher Weight = greater impact on cluster direction Higher Consensus Threshold = fewer but stronger regime flips ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicador Pine Script®
por Zeiierman
7
[ A L P H A X ] Elliott Wave Detection & Fibonacci Golden ZoneAlphaX Wave – Elliott Wave Detection, Fibonacci Golden Zone Mapping, Multi-Confluence Scoring & Smart SL/TP System AlphaX Wave is a professional-grade Elliott Wave analysis and trade signal system built on a proprietary multi-engine architecture that fuses automated wave counting, Fibonacci golden zone projection, multi-factor momentum scoring, and structure-based stop loss and target placement into a single cohesive tool. It identifies impulse wave patterns (waves 1–5), detects corrective ABC structures, projects Fibonacci retracement zones, scores trade setups across eight independent confluence factors, and generates graded entry signals with intelligent SL/TP levels derived from swing structure, Fibonacci levels, and wave projections. Designed for traders who use Elliott Wave theory as their primary framework on instruments like XAUUSD, indices, forex majors, and crypto. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Wave Engine — How It Works At the core of AlphaX Wave is an automated Elliott Wave detection algorithm that identifies the classical 5-wave impulse structure and 3-wave corrective patterns in real-time. Unlike manual wave counting, this engine applies strict mathematical validation rules derived from Elliott Wave theory to ensure only structurally valid patterns are labeled. Impulse Wave Detection (Waves 1–5) The engine uses a rolling buffer of confirmed swing highs and swing lows detected via a configurable pivot lookback. When at least three swing highs and three swing lows are available, the engine tests them against the following Elliott Wave rules: Wave 2 must not retrace beyond the start of Wave 1 — validated by checking that the second swing low remains above the first swing low (bullish) or below the first swing high (bearish) Wave 3 must not be the shortest impulse wave — validated by comparing the Wave 3 range to at least 70% of the Wave 1 range Wave 4 must not overlap into Wave 1 territory — validated by checking that the Wave 4 low stays above the Wave 2 low (bullish) or Wave 4 high stays below the Wave 2 high (bearish) Wave 2 retracement must be between 15% and 95% of Wave 1 — filters out patterns that are too shallow or too deep Wave 4 retracement must be between 10% and 90% of Wave 3 — ensures proper proportionality Temporal ordering must be correct — all six pivot points must occur in strict chronological sequence Wave 5 must exceed Wave 3's high (bullish) or undercut Wave 3's low (bearish) — confirms the impulse completed with a new extreme When all rules pass simultaneously, the engine marks the complete 1–5 impulse structure on the chart with numbered labels and connecting wave lines. Wave 3 and Wave 5 receive larger, brighter labels because they represent the highest-momentum phases of the impulse. Corrective Wave Detection (ABC Pattern) After an impulse completes, the engine monitors for corrective price action: For a completed bullish impulse — the engine watches for a pullback that retraces between 20% and 72% of the impulse range, indicating an ABC correction is forming For a completed bearish impulse — the engine watches for a bounce that retraces between 20% and 72% of the impulse range The correction must originate after Wave 5 completes — ensures proper sequence A configurable cooldown prevents multiple correction labels from firing on the same structure Corrective zones are particularly valuable because they represent potential entry opportunities in the direction of the prior impulse trend — the market is pulling back within a larger trend structure. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Fibonacci Golden Zone System When an impulse wave completes, the engine automatically projects Fibonacci retracement levels across the entire impulse range: 38.2% Retracement — the shallowest institutional retracement level 50.0% Retracement — the equilibrium midpoint of the impulse 61.8% Retracement — the golden ratio level, highest-probability reversal zone The area between the 38.2% and 61.8% levels forms the Golden Zone — a shaded box that represents the highest-probability area for the corrective wave to terminate and the trend to resume. This is where institutional traders typically place their limit orders. The Golden Zone system includes intelligent lifecycle management: Zones automatically expire after a configurable maximum age (default 80 bars) Zones are removed when price closes significantly beyond them (1.5 ATR past the zone boundary) — indicating the zone has been invalidated Maximum active zones are capped (configurable) to keep the chart clean The indicator tracks whether price is currently inside a bullish or bearish Golden Zone — this information feeds directly into the confluence scoring engine ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Wave 3 Setup Detection Wave 3 is traditionally the strongest and longest wave in Elliott Wave theory. AlphaX Wave includes a dedicated Wave 3 Setup Scanner that identifies potential Wave 3 initiations in real-time: Detects when price has completed a valid Wave 1 (impulse move) followed by a Wave 2 (pullback between 15% and 90% of Wave 1) Confirms the pullback low remains above the Wave 1 starting point (bullish) or below it (bearish) — validating the wave structure Requires a directional confirmation candle (close above prior high for bullish, close below prior low for bearish) Marked with small purple triangles — ▲ below bar for bullish Wave 3 setups, ▼ above bar for bearish Wave 3 setups are among the highest-probability trade entries in all of technical analysis because they align with the strongest phase of the impulse trend. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 8-Factor Confluence Scoring Engine Every potential trade signal is evaluated across eight independent confluence factors . Each factor scores either 0 or 1 point, producing a confluence score from 0 to 8. Only signals meeting your configured minimum confluence threshold are displayed. Factor 1 — Wave 3 Setup (W3) Is a valid Wave 3 initiation pattern present? This is the single most powerful factor — Wave 3 moves are the strongest in Elliott theory Factor 2 — ABC Correction Zone (ABC) Is the market currently in a corrective phase following a completed impulse? Corrections within trends offer the best risk/reward entries Factor 3 — Price in Fibonacci Golden Zone (FIB) Is price currently inside an active Golden Zone box (between 38.2% and 61.8% retracement)? Golden Zone entries have institutional backing Factor 4 — Price at Specific Fibonacci Level (FLV) Is price at or near the 38.2%, 50.0%, or 61.8% retracement level specifically? Precision Fibonacci entries add edge beyond just being "in the zone" Factor 5 — Momentum Alignment (MOM) Are RSI slope, MACD direction, MACD histogram momentum, and Stochastic all aligned in the signal direction? Requires at least 2 of 5 momentum sub-factors to confirm Factor 6 — RSI Divergence (DIV) Is a confirmed RSI divergence present (price makes new low but RSI makes higher low, or vice versa)? Divergence is one of the most reliable reversal confirmation signals Factor 7 — Volume Confirmation (VOL) Is current volume above the moving average with a candle closing in the signal direction? Volume validates institutional participation in the move Factor 8 — EMA Trend Alignment (EMA) Are the Fast (21), Medium (50), and Slow (200) EMAs properly stacked in the signal direction? Or is price at least above/below the 200 EMA with Fast above/below Medium? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Confidence Scoring & Grade System Beyond the 8-factor confluence count, each signal receives a weighted confidence score from 0 to 100% that reflects the quality and strength of the setup: Wave Structure (up to 22 points) Wave 3 Setup present = 22 points (highest single contributor) ABC Correction active = 12 points Fibonacci Alignment (up to 22 points) Price inside Golden Zone = 15 points Price at 61.8% level = 7 points, at 50.0% = 5 points, at 38.2% = 4 points Momentum Confirmation (up to 23 points) Momentum aligned (2+ sub-factors) = 12 points Strong momentum (4+ sub-factors) = additional 6 points MACD crossover on signal bar = 5 points RSI Analysis (up to 14 points) RSI divergence confirmed = 10 points RSI slope in ideal range = 4 points RSI already at opposite extreme (penalty) = -5 points Volume & Trend (up to 20 points) Volume above average + directional candle = 5 points Volume spike + directional candle = 3 points Full EMA alignment (Fast > Medium > Slow or reverse) = 8 points Cloud direction confirmed = 4 points Signals are classified into grades based on the final confidence score: A+ Grade (70%+) — Exceptional setup. Maximum confluence across wave structure, Fibonacci, momentum, and trend. A Grade (55–69%) — High-quality setup. Most major factors aligned. B Grade (40–54%) — Solid setup. Core conditions met with moderate confirmation. C Grade (25–39%) — Marginal setup. Basic conditions met but weaker confirmation. Hidden by default. D Grade (below 25%) — Weak setup. Minimal confluence. Hidden by default. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Signal Labels — What They Show Each entry signal label displays comprehensive information in a compact format: Direction — ▲ LONG or ▼ SHORT with spaced lettering Grade — A+, A, B, C, or D classification Confidence Percentage — The weighted score from the confidence engine Confluence Count — How many of the 8 factors are active (e.g., 5/8) Active Factor Checklist — Shows exactly which factors contributed: ✓W3 ✓ABC ✓FIB ✓FLV ✓MOM ✓DIV ✓VOL ✓EMA Label colors follow the grade system: Bull signals — Bright green (A+), Primary green (A), Dim green (B), Neutral gray (C/D). All use dark text for readability. Bear signals — Bright red (A+), Primary red (A), Dim red (B), Neutral gray (C/D). All use white text for readability. A thin dotted line connects the signal label to the price bar, keeping the label offset from price action to avoid chart clutter. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Smart SL/TP System — Structure-Based Risk Management Every entry signal automatically generates three trade management levels — Stop Loss, Target 1, and Target 2 — using a multi-source calculation engine that prioritizes structural price levels over arbitrary ATR multiples. Stop Loss Calculation The SL engine searches for the optimal stop placement using this priority cascade: Nearest swing structure — Finds the closest confirmed swing low (for longs) or swing high (for shorts) within a 50-bar lookback. Places the SL beyond this level with ATR padding. ATR floor and cap — Ensures the SL is never too tight (70% of base ATR multiple) or too wide (180% of base ATR multiple) regardless of swing structure. Confidence modifier — Higher-grade signals receive tighter stops (0.85× for A+, 0.92× for A, 1.0× for B, 1.15× for C/D). This reflects the higher-probability nature of strong setups. Target 1 Calculation TP1 represents the conservative take-profit level: Nearest opposing swing — Searches for the closest swing high above entry (longs) or swing low below entry (shorts) that provides at least 1.2× the SL distance. Fibonacci level targeting — If an active Fibonacci zone has a 38.2% or 50.0% level above/below entry that provides better targeting than the swing level, the Fib level is used. Minimum R:R enforcement — TP1 is guaranteed to provide at least the configured ATR multiple (default 2.5×) of risk-reward. Target 2 Calculation TP2 represents the extended profit target: Wave-based projection — If an impulse wave is active, TP2 is calculated as 61.8% of the total impulse range — representing the typical next-wave target. Far swing structure — Searches for swing levels further than TP1 that provide at least 1.3× the TP1 distance. Fibonacci extension — If the 61.8% Fibonacci level provides a target beyond TP1, it is used as TP2. Minimum spacing — TP2 is guaranteed to be at least 1.5× the TP1 distance from entry. Break-Even Protection When TP1 is hit, the system automatically adjusts the Stop Loss to the entry price (break-even). The SL label changes to "BE" with a neutral color, visually confirming that the trade is now risk-free on the remaining position targeting TP2. Hit Tracking All SL/TP levels are tracked in real-time: When a level is hit, the label changes color — red fill for SL hits, green fill for TP hits SL hits are processed first — if the SL is hit, TP levels for that trade are no longer tracked TP1 must be hit before TP2 tracking activates the break-even mechanism Historical SL/TP groups are automatically trimmed to keep the chart clean (configurable history count) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Trend Context Layer Three independent trend analysis systems provide structural context: Triple EMA System Fast EMA (21) — Yellow-green crosses. Immediate momentum reference. Medium EMA (50) — Gray line. Intermediate trend filter. Slow EMA (200) — Dark gray, thicker line. Macro structural backbone used in confidence scoring. When all three are properly stacked (Fast > Medium > Slow for bullish, reverse for bearish), trend alignment scores maximum points. Trend Cloud Calculated from the midpoints of the highest high / lowest low over fast (9) and slow (26) periods When the fast midpoint is above the slow midpoint, the cloud fills green — bullish bias When below, the cloud fills red — bearish bias Cloud direction adds 4 points to the confidence score when aligned with the signal RSI Divergence System Detects classical RSI divergence using pivot-based comparison Bullish divergence — price makes a lower low but RSI makes a higher low Bearish divergence — price makes a higher high but RSI makes a lower high Divergence must occur within a valid lookback window (5–50 bars between pivots) and be recent (within 3 bars of the current RSI pivot) Marked with small diamond shapes — green below bar for bullish, red above bar for bearish ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Momentum Engine The momentum engine combines four oscillator systems into a unified momentum score: RSI Slope — Smoothed RSI direction over 2 bars. Bullish when RSI is between 40–75 and rising. Bearish when RSI is between 25–60 and falling. MACD Direction — MACD Line above Signal Line = bullish, below = bearish. MACD Histogram Momentum — Histogram increasing = bullish momentum, decreasing = bearish momentum. Stochastic Alignment — %K above %D with room to run (below 80) = bullish. %K below %D with room to fall (above 20) = bearish. MACD Crossover — Fresh MACD crossover on the signal bar adds additional confirmation. Scores of 2+ out of 5 confirm momentum alignment. Scores of 4+ indicate strong momentum — adding bonus points to the confidence score. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Dashboard Intelligence A comprehensive 3-column AlphaX-branded dashboard provides real-time analysis across all engine layers: Wave & Fibonacci Status Current wave phase — Impulse 1–5 (detected/active), Corrective ABC, or Scanning Wave trend direction — Bullish or Bearish impulse context Fibonacci status — In Golden Zone, at specific level, or no active zone Active Fibonacci zone count Momentum & Trend Momentum state — Strong Bull/Bear, Bullish/Bearish, or Flat Bull/Bear sub-factor scores (e.g., 3▲ 1▼) EMA trend alignment — Bull Aligned, Bear Aligned, or Mixed Price position relative to 200 EMA Cloud direction — Bullish, Bearish, or Flat Volume & Oscillators Relative volume — Spike, High, Normal, or Dry with exact ratio RSI state — Overbought, Oversold, Rising, Falling, or Neutral with numeric value Confluence & Verdict Bull confluence score — count out of 8, confidence percentage, and letter grade Bear confluence score — count out of 8, confidence percentage, and letter grade Verdict — the engine's overall assessment: High Confidence Long, High Confidence Short, Lean Long/Short with Caution, Mixed — Stand Aside, or No Clear Edge ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Wave — Step by Step Step 1 — Identify the Wave Structure Look for completed impulse patterns (numbered 0–5 on the chart) Check the Dashboard: What is the current Wave Phase? If "SCANNING" — no valid wave structure detected yet. Wait for pattern formation. Step 2 — Wait for Correction or Wave 3 Setup After an impulse completes, watch for the "ABC CORRECTION ZONE" label — this is where the market is pulling back within the trend Watch for Wave 3 Setup triangles (▲/▼) — these mark the beginning of the strongest wave Check if price is entering a Fibonacci Golden Zone (purple shaded box) Step 3 — Enter on Confluence Signal Wait for a graded entry label (▲ LONG or ▼ SHORT) to appear Check the grade — A+ and A signals have the highest probability Review the factor checklist — more ✓ marks = stronger setup The SL and TP levels are automatically plotted for immediate trade management Step 4 — Manage the Trade Monitor the SL/TP levels on the chart — they update automatically When TP1 is hit, the label lights up green and the SL moves to break-even Hold the remaining position for TP2 risk-free If SL is hit first, the label turns red — accept the loss and wait for the next setup Step 5 — Read the Verdict The Dashboard Verdict row summarizes the engine's real-time assessment "HIGH CONFIDENCE LONG/SHORT" — all systems aligned, actively look for entries "LEAN LONG/SHORT — CAUTION" — some alignment but not full, trade with reduced size "MIXED — STAND ASIDE" — conflicting signals, do not trade "NO CLEAR EDGE" — insufficient data, wait for structure to develop ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ When NOT to Trade — Reading the Warning Signs Dashboard shows "SCANNING" — No valid wave structure detected. The market may be in a complex correction or transition phase. Verdict shows "MIXED — STAND ASIDE" — Bull and bear confluence are both active simultaneously. Conflicting signals cancel each other. Cloud is flat or rapidly switching colors — No established trend direction. Signals during cloud transitions are less reliable. EMAs are tangled and flat — Range-bound market. Wave patterns in choppy conditions produce lower-quality signals. Only C or D grade signals appearing — Insufficient confluence. These grades are hidden by default for a reason. RSI showing "OVERBOUGHT" on a long signal — The confidence engine already penalizes this (-5 points), but it is worth noting visually as well. Volume showing "DRY" — Low-volume environments reduce the reliability of all technical patterns including waves. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🔬 Automated Elliott Wave impulse detection (1–5) with strict rule validation 📐 ABC corrective pattern recognition with retracement depth validation 🎯 Wave 3 Setup Scanner — identifies the strongest wave initiation points 📊 Fibonacci Golden Zone projection with intelligent lifecycle management 🧠 8-factor confluence scoring — Wave, ABC, Fibonacci, Fibonacci Level, Momentum, Divergence, Volume, EMA 📈 Weighted confidence scoring (0–100%) with A+ through D grade classification ▲▼ Detailed signal labels showing grade, confidence, confluence count, and active factor checklist 🎯 Structure-based SL/TP system — swing levels, Fibonacci targets, and wave projections 🛡 Automatic break-even protection when TP1 is hit 📊 Real-time hit tracking with visual color changes on SL/TP labels ☁ Trend Cloud with gradient fill for instant directional bias 📐 Triple EMA system (21/50/200) for structural trend context 💎 RSI divergence detection with pivot-based validation 📊 Multi-oscillator momentum engine (RSI, MACD, Stochastic) 📊 Volume spike detection with configurable multiplier 📐 Comprehensive 3-column dashboard with verdict system 🎨 Cohesive triple-tone color theme — Green for bull, Red for bear, Purple for wave structure 🔔 10 alert conditions — signals, impulses, corrections, Wave 3 setups, and divergences ⚙ Fully configurable — wave detection, Fibonacci, momentum, signals, SL/TP, and all visuals ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Wave Detection Swing Detection Length — Pivot lookback for identifying swing highs and lows (default: 6) Show Wave Count Labels — Toggle the numbered 0–5 labels on impulse waves Show Wave Structure Lines — Toggle the connecting lines between wave points Show Impulse Completion — Toggle the "IMPULSE COMPLETE" notification labels Show Corrective Patterns — Toggle the "ABC CORRECTION ZONE" labels Show Wave 3 Setup Markers — Toggle the purple triangle markers Wave Pattern Cooldown — Minimum bars between wave pattern detections (default: 18) Fibonacci Show Fib Golden Zone Boxes — Toggle the shaded 38.2%–61.8% retracement zone Max Fib Zone Boxes — Maximum simultaneous Golden Zones (default: 3) Fib Zone Max Age — Bars before a zone auto-expires (default: 80) Momentum RSI Length / Smoothing — Core RSI calculation parameters MACD Fast / Slow / Signal — MACD oscillator parameters Show RSI Divergence — Toggle divergence diamond markers Volume Volume MA Length — Baseline period for volume comparison (default: 20) Volume Spike Multiplier — Threshold for spike detection (default: 1.6×) Show Volume Spike Dots — Toggle volume spike indicators at bar bottom EMA Settings Fast / Medium / Slow EMA — Independently toggle visibility and set periods Defaults: 21 / 50 / 200 Trend Cloud Show Trend Cloud — Toggle the gradient cloud fill Cloud Fast / Slow Length — Midpoint calculation periods (default: 9 / 26) Confluence Engine Min Confluence Score — Minimum factors required for a signal (default: 3 of 8) Show Entry Signals — Toggle signal labels Signal Cooldown — Minimum bars between signals (default: 10) Signal Label Offset — Distance below/above bar in ATR units (default: 3.0) Show Grade C / D Signals — Toggle lower-quality signal visibility (default: off) SL / TP Show Stop Loss & Targets — Toggle all SL/TP visual elements Stop Loss (× ATR) — Base ATR multiple for stop loss calculation (default: 2.0) Target 1 (× ATR) — Base ATR multiple for conservative target (default: 2.5) Target 2 (× ATR) — Base ATR multiple for extended target (default: 5.0) Limit SL/TP History — Cap the number of visible historical trade levels SL/TP History Count — Maximum trade groups shown (default: 8) Move SL to Break Even after TP1 — Enable/disable break-even protection Display Show Dashboard — Toggle the information panel Dashboard Position — Top Right, Top Left, Bottom Right, Bottom Left Dashboard Text Size — Tiny, Small, Normal Dashboard Background — Background color for the panel Theme Colors Bull Primary / Bright / Dim — Green family for bullish elements Bear Primary / Bright / Dim — Red family for bearish elements Wave Primary / Bright / Dim — Purple family for wave structure elements Fibonacci Levels / Dim — Purple-pink family for Fibonacci zones EMA colors — Fast (green), Medium (gray), Slow (dark gray) Neutral — Gray for inactive/mixed states ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions Wave Long Signal — Fires when a graded bullish entry signal appears Wave Short Signal — Fires when a graded bearish entry signal appears Bullish Impulse Complete — Fires when a full 1–5 bullish impulse is detected Bearish Impulse Complete — Fires when a full 1–5 bearish impulse is detected Wave 3 Bull Setup — Fires when a bullish Wave 3 initiation pattern is detected Wave 3 Bear Setup — Fires when a bearish Wave 3 initiation pattern is detected RSI Bull Divergence — Fires when bullish RSI divergence is confirmed RSI Bear Divergence — Fires when bearish RSI divergence is confirmed Bullish ABC Correction — Fires when a bullish corrective zone is identified Bearish ABC Correction — Fires when a bearish corrective zone is identified All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is tuned for XAUUSD (Gold) and major instruments on the 5-minute to 1-hour timeframes : Swing Length at 6 captures wave structure without excessive lag on intraday charts Minimum confluence at 3/8 ensures signals have meaningful multi-factor backing Signal cooldown at 10 bars prevents rapid-fire signals during volatile wave transitions SL at 2.0 ATR with structure-based adjustment provides adaptive risk sizing TP1 at 2.5 ATR and TP2 at 5.0 ATR provide minimum 1.25R and 2.5R risk-reward ratios Break-even protection ensures profitable trades are protected after TP1 Grade C and D signals hidden by default to maintain signal quality For other instruments or timeframes, adjust: Higher timeframes (4H, Daily) — Increase Swing Length to 8–14, increase Wave Cooldown to 30–50, increase SL/TP ATR multiples Lower timeframes (1m) — Reduce Swing Length to 4–5, reduce Signal Cooldown to 5–7, increase Min Confluence to 4 Forex majors — Use defaults, optionally reduce Swing Length to 5 for tighter wave detection Crypto — Increase Swing Length to 8–10 (higher volatility), increase SL ATR multiple to 2.5–3.0 Fewer, higher-quality signals — Increase Min Confluence to 4–5, increase Signal Cooldown, hide Grade C/D More signals — Reduce Min Confluence to 2, enable Grade C signals, reduce cooldown ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 📐 Elliott Wave Practitioners — Automated wave counting with strict rule validation eliminates subjective bias 📊 Fibonacci Traders — Automatic Golden Zone projection with lifecycle management removes manual drawing 🥇 Gold & Forex Intraday Traders — Optimized for instruments with clean wave structures on fast timeframes 🧠 Systematic Traders — The 8-factor confluence + weighted confidence system provides a fully quantitative framework 🎯 Traders who want complete trade plans — Entry, SL, TP1, TP2, and break-even all generated automatically 📈 Traders learning Elliott Wave — The visual wave labels and structure lines serve as an educational overlay ⚠ Traders who struggle with exit management — The SL/TP system with hit tracking and break-even automation removes emotional decision-making ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes Wave detection uses confirmed pivot points (offset by the swing length) — wave labels appear after structural confirmation, not in real-time. This prevents repainting. The indicator requires sufficient bar history to populate swing buffers — allow at least 100+ bars of data before expecting wave pattern detection Elliott Wave rules are applied as mathematical approximations of the classical theory — certain complex wave structures (extended waves, truncations, diagonal triangles) may not be detected SL/TP levels are calculated at signal time and do not adjust afterward (except the break-even mechanism on TP1 hit) Maximum 500 labels, 500 lines, and 500 boxes are used — on very low timeframes with extended history and many signals, oldest drawings may be automatically removed by TradingView's rendering limits The SL/TP history is automatically trimmed to the configured limit (default 8 trade groups = 24 labels/lines) to stay within TradingView's drawing limits All confluence factors and confidence scores are recalculated on every bar — the dashboard reflects the current bar's state, not the last signal's state ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Elliott Wave patterns, Fibonacci levels, and all signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Elliott Wave theory is inherently subjective and interpretive; automated detection provides one possible wave count among many valid alternatives. Past wave patterns and signal performance do not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who demand clarity, confidence, and precision from their charts.
Indicador Pine Script®
por AlphaX-Trade
Strong Gold Breakouts M5 | ProjectSyndicate⚙️ Gold short-term entries off M5 timeframe using dynamic consolidation zones with ADR-based TP targets. 📦 Advanced Consolidation Structure: The indicator detects and plots high-probability consolidation zones using a multi-dimensional 0–10 scoring algorithm. Only the strongest zones (score 6+) that span at least 10 candles are displayed, providing a robust breakout structure based on pure price compression. This is the default setting and is designed for intraday trading. 🎯 Precision Entry & Exit Levels: A color-coded consolidation box is plotted, with Buy Stop and Sell Stop dashed lines automatically placed 2 USD away from its borders. This buffer creates a neutral zone and helps filter out fakeouts. 💰 ADR-Based Profit Targets: Three Take Profit (TP) lines are plotted for both long and short trades (TP1, TP2, TP3). These levels are dynamically calculated as a percentage of the 10-day Average Daily Range (ADR), ensuring targets adapt to current market volatility. ⚙️ Fully Customizable Levels: Every element is adjustable. You can change the buffer between the consolidation box and stop lines, and customize the exact ADR percentages for TP1 (10%), TP2 (15%), and TP3 (20%) to suit your risk profile. 🔔 M5 Breakout Alerts: The indicator includes a powerful alerts module that triggers when an M5 candle closes above the Buy Stop level or below the Sell Stop level. This provides real-time notifications with full trade details for potential entries. 🎨 Clean Visuals & Clear Labels: The zones are color-coded based on strength — White=6, Yellow=7, Orange=8, Red=9–10 — for instant recognition. The Buy Stop, Sell Stop, and TP lines are fully labeled with exact price levels, ensuring zero confusion. ⚙️ Trading Strategy & Logic This strategy is designed for precision and requires patience. The core idea is to wait for the market to confirm a breakout of an established high-scoring consolidation zone before entering a trade. 📌 Entry Logic 🕒 Wait for a Strong Zone: Allow the indicator to detect and plot a new high-scoring consolidation zone. Do not trade old or expired zones. 🔔 Set Your Alerts: In TradingView, create a new alert and select the indicator. For the condition, choose "Any alert() function call". This will notify you the moment an M5 candle closes across a stop level. 👀 Wait for the M5 Close: For a Long Buy Trade, wait for an M5 candle to close above the Buy Stop line. For a Short Sell Trade, wait for an M5 candle to close below the Sell Stop line. ✅ Enter on Confirmation: Once you receive the alert and visually confirm the M5 candle has closed past the level, you can enter the trade targeting the dynamic ADR levels.
Indicador Pine Script®
por ProjectSyndicate
Pulse Trend Radar [WillyAlgoTrader]⦿ Pulse Trend Radar is an overlay indicator built on a Kaufman Adaptive Moving Average (KAMA) core with median-ATR volatility bands — producing an adaptive trend system that speeds up in trending markets and slows down in noise. Every trend flip generates a signal scored by a 4-factor quality engine (0–100) with letter grades (A+ through C). The indicator also detects and visualizes liquidity zones from pivot highs/lows, marks order blocks from the last opposite candle before each trend flip, tracks real-time P&L with a live trade tracker, and monitors win/loss outcomes — creating a complete trend-following framework with Smart Money context. 🧩 WHY THESE COMPONENTS WORK TOGETHER A trend indicator alone tells you direction — but not whether the entry is near a liquidity pool (where stops cluster), not whether there's institutional supply/demand nearby (order blocks), not how strong the signal is (all flips treated equally), and not how the system performs over time (no feedback). This indicator layers four analysis dimensions onto the adaptive trend core: KAMA adaptive trend + median ATR bands → Trend direction and flip detection Liquidity zones from pivots → Where stop-hunts and liquidity grabs are likely Order blocks from pre-flip candles → Where institutional supply/demand was established 4-factor signal scoring → Quality filtering — not all flips are equal Win/loss tracker → Performance feedback on this instrument and timeframe The KAMA core adapts its speed via the Efficiency Ratio — in a strong trend, the MA tracks price closely and the bands tighten, producing early signals. In choppy conditions, the MA barely moves and the bands widen, filtering out noise. The liquidity zones show where clusters of stops sit (above pivot highs, below pivot lows) — entries near these zones have higher follow-through because the liquidity grab fuels the move. The order blocks mark the institutional footprint before each trend change — these zones often act as support/resistance on retests. And the signal score combines trend strength, volume delta, efficiency acceleration, and liquidity proximity into a single quality metric — letting you prioritize A+ setups over C-grade ones. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Kaufman Adaptive Moving Average (KAMA) trend core. The KAMA computes a smoothing constant from the Efficiency Ratio: ER = |price − price | / sum(|price − price |, N) fastSc = 2 / (fastLen + 1), slowSc = 2 / (slowLen + 1) sc = (ER × (fastSc − slowSc) + slowSc)² KAMA = KAMA + sc × (price − KAMA ) When ER → 1 (pure trend): sc approaches fastSc² → KAMA tracks price tightly. When ER → 0 (pure noise): sc approaches slowSc² → KAMA barely moves. This produces a line that accelerates into trends and goes flat in chop — without any manual period switching. 2️⃣ Median ATR volatility bands. Instead of standard ATR (arithmetic mean of true ranges), the indicator uses a median of recent true ranges computed via a ring buffer over the volatility lookback (default 50 bars). The median is more robust to outlier spikes (gap bars, flash wicks) than the mean — producing smoother, more stable band widths. Bands: upper = KAMA + medianATR × multiplier, lower = KAMA − medianATR × multiplier. Trend flips when the previous bar's source price crosses beyond a band: source > upper → bullish, source < lower → bearish. The active band (lower in uptrend, upper in downtrend) is plotted as the trend line. 3️⃣ Displacement-based gradient fill. The fill between the trend line and price is not a fixed transparency — it scales with displacement: displacement = |price − KAMA| / (medianATR × multiplier). The further price stretches from KAMA, the more intense the fill becomes (transparency decreases from 95 to 60). This creates a visual "heat map" effect: faint fill near KAMA (low extension), bright fill far from KAMA (overbought/oversold). This gives immediate visual feedback on how extended the current move is without needing a separate oscillator. 4️⃣ Liquidity zone detection and sweep tracking. Pivot highs and lows (configurable lookback, default 4 bars) are marked as liquidity zones: — Above pivot highs → bearish liquidity (buy stops cluster above swing highs — potential sell-side liquidity) — Below pivot lows → bullish liquidity (sell stops cluster below swing lows — potential buy-side liquidity) Each zone extends rightward as a thin box (height = 0.15× medianATR). Zones are automatically removed when price sweeps through them (high crosses above bearish zone top, or low crosses below bullish zone bottom) — representing the liquidity grab event. Up to 15 zones per side (configurable). The signal scoring engine measures the nearest liquidity zone distance on each trend flip — entries closer to a liquidity pool receive a higher quality score because the stop-hunt provides fuel for the ensuing move. 5️⃣ Order block detection on trend flips. When the trend flips, the previous bar is marked as an order block: — Bullish flip → demand order block (the last bearish candle before the reversal — where institutional buying absorbed selling pressure) — Bearish flip → supply order block (the last bullish candle before the drop — where institutions distributed) Each OB is drawn as a box from the previous candle's high to low, extending rightward. OBs are automatically invalidated (deleted) when price closes beyond the opposite edge after 3+ bars — indicating the zone has been broken. Up to 10 OBs per side (configurable). 6️⃣ 4-factor signal quality scoring (0–100). Each trend flip is scored on four factors: — 📐 Trend strength (25 pts) : combined from ER (directional efficiency) and displacement from KAMA — measures how strong the trend is at the moment of the flip — 📊 Volume delta alignment (25 pts) : buy volume vs sell volume accumulated during the previous trend leg — bullish flip with positive volume delta scores higher (smart money was accumulating) — ⚡ Efficiency acceleration (25 pts) : current ER minus previous ER — positive acceleration means the trend is gaining momentum, not losing it — 💧 Liquidity proximity (25 pts) : distance to the nearest liquidity zone — closer = higher score (the flip is near a liquidity grab point) Grades: A+ (≥ 80), A (≥ 60), B (≥ 40), C (< 40). Signal labels display "Long A+" / "Short B" etc. 7️⃣ OBV-based volume regime detection. On Balance Volume (OBV) delta = OBV − SMA(OBV, 20). Classified as: — Accumulation : OBV delta > 0 — more volume on up-moves than down-moves (institutional buying) — Distribution : OBV delta < 0 — more volume on down-moves (institutional selling) Displayed in the dashboard with directional coloring. Auto-displays "N/A" on instruments without volume data. 8️⃣ Live trade tracker with P&L. On each signal: a dashed entry line extends horizontally, a vertical connector line tracks from entry to current price, and a P&L label updates in real-time showing percentage gain/loss. Green = profit, red = loss. Replaced on each new signal. 9️⃣ Win/loss markers + win rate tracking. Each signal is tracked as a mini-trade: entry at signal close, SL at entry ± medianATR × SL multiplier, TP1 at entry ± risk × TP1 multiplier. If TP1 is reached before SL → green ● marker at the signal bar (win). If SL is reached first → red ● marker (loss). Running win rate displayed in the dashboard as "67% (4W/2L)". 🔟 ATR-based TP/SL with hit tracking. Three take-profit levels as risk multiples (default 1.0/2.0/3.0 × risk) plus SL (default 3× medianATR from entry). Lines extend rightward with labels showing price + percentage. Labels update with ✓ on hit (green) or ✗ on SL hit (red). Active until the next signal replaces them. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — KAMA: Efficiency Ratio from configurable lookback → adaptive smoothing constant → KAMA line that accelerates in trends, goes flat in chop. Step 2 — Median ATR bands: True ranges stored in ring buffer → median computed → upper/lower bands = KAMA ± median × multiplier. Step 3 — Trend detection: Previous bar's source > upper band → bullish flip. Source < lower band → bearish flip. Active band plotted as trend line. Gradient fill scales with displacement. Step 4 — Liquidity zones: Pivot highs/lows → boxes above/below. Swept zones auto-deleted. Step 5 — Order blocks: On flip → previous candle becomes OB. Invalidated when price closes beyond opposite edge. Step 6 — Signal scoring: 4 factors (trend strength, volume delta, ER acceleration, liquidity proximity) → 0–100 → A+/A/B/C grade. Step 7 — Trade tracking: SL/TP placed, lines extend, win/loss evaluated per trade. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — adaptive trend line, liquidity zones, and order blocks appear 2. "Long A+" / "Short B" labels = trend flip signals with quality grade 3. Green/red liquidity zone boxes = where stops cluster (potential sweep targets) 4. Green/red order blocks = institutional supply/demand zones 5. SL/TP lines auto-appear with P&L tracker 👁️ Reading the chart: — 🟢 Green trend line = bullish (lower band active) — 🔴 Red trend line = bearish (upper band active) — 🟢/🔴 Gradient fill = displacement from KAMA (brighter = more extended) — 🟢 Small boxes below price = bullish liquidity zones (buy-side stops) — 🔴 Small boxes above price = bearish liquidity zones (sell-side stops) — 🟢 Larger boxes = demand order blocks (institutional buying zone) — 🔴 Larger boxes = supply order blocks (institutional selling zone) — 🟢 ● = win (TP1 reached), 🔴 ● = loss (SL hit) — Dashed line + PnL label = live trade tracker 📊 Dashboard fields: — Trend: ▲ Bullish / ▼ Bearish — Last Signal: BUY/SELL with grade — Score: 0–100 quality rating — Strength: trend strength percentage — P&L: current trade percentage — Win Rate: wins/losses with percentages — SL / TP1: current trade levels with ✓/✗ status — Vol Regime: Accumulation / Distribution — Vol Delta: buy vs sell volume percentage — Efficiency: current ER percentage 🔧 Tuning guide: — Too many signals: increase Band Multiplier (2.0–2.5) or ER Length (15–20) — Too few signals: decrease Band Multiplier (1.2–1.5) or ER Length (8–10) — Signals too late: decrease Slow Smoothing (15–20), decrease Volatility Length (20–30) — Stops too tight: increase SL ATR Multiplier (2.5–4.0) — Want only A+/A signals: monitor grades in dashboard, skip B/C entries ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Efficiency Ratio Length (default 13): KAMA lookback — higher = smoother — Fast/Slow Smoothing (default 2/30): KAMA acceleration/deceleration — Band Multiplier (default 1.8): band width in median ATR — Volatility Length (default 50): median ATR ring buffer size 🎯 SL/TP: — SL (× ATR) (default 3): stop distance in median ATR — TP1/TP2/TP3 (× risk) (default 1.0/2.0/3.0): R:R multiples 💧 Liquidity: — Pivot Lookback (default 4) / Max Zones (default 15) 🟧 Order Blocks: — Max Order Blocks (default 10) 🎨 Visual: — Gradient fill, trade tracker, win/loss markers (all toggleable) — Configurable signal label size (Tiny–Large) — Configurable dashboard font size (Tiny–Normal) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BUY / 🔴 SELL — ticker, price, TF, SL, TP1, TP3 All support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. Trend flips use the previous bar's source vs the previous bar's band value — the signal fires on the bar after the crossing bar closes. KAMA and band values are deterministic once a bar is confirmed. — 📐 The median ATR is more robust than standard ATR . A single flash wick or gap bar shifts the mean (standard ATR) significantly but barely affects the median. This produces more stable band widths and fewer false flips during anomalous bars. — 📊 Volume delta is accumulated within each trend leg and resets on every trend flip. It represents the buy/sell balance during the specific move — not the overall volume profile. The pre-reset delta value is used for the signal score (capturing the exiting leg's character). — 💧 Liquidity zones are automatically swept and removed when price touches them. This prevents stale zones from cluttering the chart. If a zone disappears, it means price swept through it — the liquidity has been taken. — 🟧 Order blocks are invalidated after 3+ bars if price closes beyond the opposite edge. This prevents old OBs that have clearly failed from persisting. — ⚖️ The 4-factor score uses the volume delta from before the trend reset (preResetVolDelta) — not the current leg's delta, which would be zero at the moment of the flip. This correctly captures whether the previous leg had accumulation or distribution behind it. — 📏 Win/loss tracking evaluates TP1 vs SL only — if TP1 is reached before SL, it's a win. The trade closes on the first event and is not re-evaluated. — 🛠️ This is a trend-following signal and analysis tool , not an automated trading bot. It provides adaptive trend detection, liquidity context, order block zones, and signal quality grading — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume features auto-adapt to instruments without volume data (OBV and volume delta show "N/A").
Indicador Pine Script®
por WillyAlgoTrader
2
[ A L P H A X ] Order Blocks Institutional Supply & Demand ZoneAlphaX Order Blocks – Institutional Supply & Demand Zone Intelligence, Strength Scoring & Flip Detection AlphaX Order Blocks is a professional-grade supply and demand zone detection system built on a proprietary multi-factor zone strength scoring engine. It identifies institutional order block zones where smart money has left footprints, tracks zone freshness through multi-touch degradation, detects flip zones when broken levels reverse polarity, and delivers confidence-scored entry signals at the highest-probability reaction points. Designed for traders who want to see where the institutions are positioned on instruments like XAUUSD, indices, forex majors, and crypto. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Order Block Engine — How It Works At the core of AlphaX Order Blocks is an institutional zone detection algorithm that identifies price levels where aggressive buying or selling originated. Unlike simple support and resistance lines, these zones represent areas where large orders were placed — and where unfilled orders may still be waiting. The detection process follows three steps: Step 1 — Impulse Move Detection The engine scans for consecutive same-direction candles (configurable from 2 to 5) that confirm a strong directional impulse At least one candle in the sequence must have above-average volume (measured against a configurable Volume SMA) This combination of directional conviction plus volume commitment identifies moves driven by institutional participation, not retail noise Step 2 — Origin Candle Identification Once an impulse is detected, the engine looks back up to 6 bars (configurable) for the origin candle — the opposite-color candle where the move started For supply zones, this is the last bullish candle before the bearish impulse — the level where sellers overwhelmed buyers For demand zones, this is the last bearish candle before the bullish impulse — the level where buyers overwhelmed sellers The origin candle's high and low define the zone boundaries, expanded by an ATR-based padding for robustness Step 3 — Volume Delta Calculation During the origin-to-impulse sequence, the engine calculates the net volume delta — total buying volume minus total selling volume This delta is displayed on each zone and used in the strength scoring system A large negative delta on a supply zone confirms strong selling pressure at that level A large positive delta on a demand zone confirms strong buying pressure at that level Fresh zones appear with bold borders and bright colors. As they get tested, they visually degrade — giving you an instant read on zone quality without checking any numbers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Six Core Features AlphaX Order Blocks combines six independent analysis layers into a single cohesive system: 1 ─ Supply Zones (Red Boxes) Supply zones mark price levels where institutional selling originated. Each zone box displays: Tier Rating — S, A, B, or C based on the 6-factor strength score Touch Count — How many times price has tested this zone (×0, ×1, ×2, etc.) Volume Delta — Net selling pressure at the zone origin Strength Percentage — The composite score from 0 to 100 Visual styling degrades automatically as zones weaken: Fresh (0 touches) — Bold solid border, bright color, full opacity Tested (1 touch) — Solid border, slightly reduced opacity Multi-tested (2+ touches) — Dashed border, reduced opacity Weak (max touches reached) — Dotted border, heavily faded — zone is nearly exhausted ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2 ─ Demand Zones (Green Boxes) Demand zones following the same tier/touch/delta/strength display format Demand zones mark price levels where institutional buying originated. They follow the identical visual degradation system as supply zones but in the green color family. Green Bold Box — Fresh, untested demand zone with highest reaction probability Green Dashed Box — Tested zone, still valid but weakening Green Dotted Box — Heavily tested zone, likely to break on next visit ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3 ─ Flip Zone Detection (Purple Boxes) One of the most powerful concepts in institutional trading is polarity reversal — when a broken support level becomes resistance, or a broken resistance level becomes support. AlphaX Order Blocks automates this: When price closes above a supply zone, the zone is deleted and a new demand zone is created at the same level with a purple color When price closes below a demand zone, the zone is deleted and a new supply zone is created at the same level with a purple color Flip zones receive a +10 point bonus in the strength scoring system because institutional traders frequently use broken levels as new entry points This feature can be toggled on/off independently ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4 ─ Confidence-Scored Entry Signals (▲ / ▼) Entry signal labels with S/A/B tier classification and strength percentage When price enters a high-quality zone and produces a confirmation candle, the signal engine fires a scored entry: ▲ Green Label (Demand Signal) — Dark text on green background. Price entered a demand zone and closed with a bullish candle. ▼ Red Label (Supply Signal) — White text on red background. Price entered a supply zone and closed with a bearish candle. Signals only fire when the zone's strength score meets your configured minimum threshold (default 40%). This prevents signals at weak, over-tested zones. Each signal is classified into tiers: S-Tier (75%+) — Highest probability. Fresh zone, high volume, strong departure, EMA confluence. A-Tier (55–74%) — High probability. Most factors aligned. B-Tier (40–54%) — Moderate probability. Basic conditions met. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5 ─ Risk/Reward Projection Dotted projection lines from entry to nearest opposite zone with R:R ratio displayed When an entry signal fires, the system automatically projects a take-profit target to the nearest opposite zone : Demand signal → Target projects to the nearest supply zone above Supply signal → Target projects to the nearest demand zone below The R:R ratio is calculated and displayed (e.g., "TP 2.3R") This gives you an instant read on whether the trade offers sufficient reward relative to risk ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6 ─ Proximity Warnings Orange warning label appearing when price approaches a zone — time to prepare The proximity engine continuously monitors the distance between current price and all active zones. When price comes within the configurable ATR distance of a zone: An orange ⚠ warning label appears showing the zone type and distance percentage This gives you advance notice to prepare for a potential reaction — set alerts, tighten stops, or prepare entries Works for both supply zones above and demand zones below ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 6-Factor Zone Strength Scoring Every zone is continuously scored from 0 to 100 based on six independent factors. This score determines the tier rating, visual styling, and signal eligibility. Freshness — Untested Zones Score Highest (up to 25 points) 0 touches = 25 points — Fresh zone, never tested, highest probability 1 touch = 18 points — Tested once, still strong 2 touches = 10 points — Multi-tested, weakening 3 touches = 4 points — Nearly exhausted 4+ touches = 0 points — Weak zone, likely to break Volume at Origin (up to 20 points) Compares the volume at the origin candle to the volume SMA Volume ratio > 3.0× = 20 points (institutional-grade volume) Volume ratio > 2.0× = 16 points Volume ratio > 1.5× = 12 points Volume ratio > 1.0× = 7 points (above average) Departure Velocity (up to 20 points) Measures how aggressively price left the zone (in ATR units) Fast departures indicate strong institutional commitment — they want to get filled and move price away quickly Velocity > 3 ATR = 20 points Velocity > 2 ATR = 15 points Velocity > 1 ATR = 10 points Zone Age (up to 15 points) Younger zones score higher — they are more relevant to current market conditions Under 20 bars old = 15 points Under 50 bars old = 12 points Under 100 bars old = 8 points Under 200 bars old = 4 points Over 200 bars old = 1 point EMA Confluence (up to 10 points) Demand zones score higher when price is below the 200 EMA (buying into weakness) Supply zones score higher when price is above the 200 EMA (selling into strength) This adds structural trend context to zone quality Flip Zone Bonus (up to 10 points) Zones created from polarity reversal receive a flat 10-point bonus Broken support becoming resistance (or vice versa) is one of the most reliable patterns in institutional trading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 Dashboard Intelligence A comprehensive AlphaX-branded dashboard provides real-time zone analytics organized into four sections: Zone Inventory Active supply and demand zone counts Breakdown by status: F (Fresh), T (Tested), W (Weak) Total flip zone count Market Bias Strength-weighted zone bias — shows whether demand or supply zones dominate the current price area EMA trend direction (Strong Bull / Bull / Bear / Strong Bear / Cross) RSI with zone classification (OB / OS / HIGH / LOW / MID) Nearest Zones Nearest supply zone above current price — with price level, strength score, and distance percentage Nearest demand zone below current price — with price level, strength score, and distance percentage Position indicator — shows whether price is closer to supply or demand Signal Status Last signal type and how many bars ago it fired Current volume status relative to the SMA (Spike / High / Normal / Dry) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Order Blocks — Step by Step Step 1 — Identify the Zone Landscape Look at the chart for active supply (red) and demand (green) zones Check the Dashboard: Which zones are fresh (F)? Which are tested (T)? Note any purple flip zones — these are high-probability levels Step 2 — Wait for Price to Approach a Zone When the ⚠ proximity warning appears, prepare for a potential reaction Check the zone's tier rating — S and A tier zones have the highest reaction probability Ignore C-tier zones unless other confluence is present Complete trade flow: Zone detection → Proximity warning → Price enters zone → Entry signal → Risk/Reward projection Step 3 — Enter on Confirmed Signal Wait for a scored entry label (▲ or ▼) to appear Confirm the tier — S-Tier and A-Tier signals have the highest probability Place your stop loss beyond the opposite side of the zone Step 4 — Set Target Using R:R Projection The system automatically projects a dotted line to the nearest opposite zone The R:R ratio is displayed — only take trades offering at least 1.5R or better Use the projected target as your primary take-profit level Step 5 — Monitor Zone Degradation If you are in a trade and the target zone changes from solid to dashed border, it may break — consider tightening your take-profit If your entry zone starts getting tested from the wrong side, the thesis may be failing — consider a stop adjustment Step 6 — Understand Zone Breaks When a zone breaks (candle closes through it), the zone is automatically deleted If flip detection is enabled, a new opposite zone appears at the same level Zone breaks often indicate a change in institutional bias — respect them ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ When NOT to Trade — Zone Quality Filters Not all zones are created equal. AlphaX Order Blocks gives you clear visual and numerical cues to avoid low-quality setups: Avoid these conditions: C-Tier zones only — If no S, A, or B tier zones are near price, the area lacks institutional interest All zones heavily tested — If every zone shows ×3 or ×4 touches with dashed/dotted borders, the levels are exhausted Dashboard shows "BALANCED" bias — When supply and demand strength are equal, there is no clear institutional edge Volume shows "DRY" — Low volume environments produce unreliable zone reactions Multiple flip zones clustered — Heavy flip activity indicates a choppy, indecisive market where zones break frequently What to do: Wait for new fresh zones to form with strong volume Look for zones where the departure velocity was high (the market left aggressively) Switch to a higher timeframe to find larger, more significant zones Only trade zones that align with the EMA trend direction ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🔬 Institutional zone detection using consecutive impulse candles + volume confirmation 🏗 6-factor zone strength scoring (freshness, volume, velocity, age, EMA, flip) 🏷 S/A/B/C tier zone classification with readable labels and strength percentages 👆 Multi-touch tracking with automatic visual degradation (solid → dashed → dotted → faded) 🔄 Automatic flip zone detection — broken supply becomes demand and vice versa (purple zones) ▲▼ Confidence-scored entry signals at high-quality zone reactions 📐 Risk/Reward auto-projection to nearest opposite zone with R:R ratio ⚠ Proximity warnings when price approaches active zones 📊 EMA confluence scoring — zones aligned with trend structure score higher 📈 Comprehensive AlphaX-branded dashboard — zone inventory, market bias, nearest zones, signal status 🎨 Cohesive triple-tone color theme — Green for demand, Red for supply, Purple for flip zones 🔔 15+ alert conditions — zone detection, touches, signals by tier, and combined ⚙ Fully configurable — detection sensitivity, zone behavior, scoring weights, and all visuals ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Zone Detection Consecutive Candles Required — Number of same-direction candles for impulse detection (default: 3) Origin Candle Lookback — How far back to search for the origin candle (default: 6) Volume Threshold Multiplier — Volume must exceed SMA × this value (default: 1.0) Volume SMA Length — Baseline period for volume comparison (default: 50) Zone Height (ATR Multiple) — Controls the vertical thickness of zone boxes (default: 1.5) Max Active Zones Per Side — Cap on simultaneous supply and demand zones (default: 8) Zone Cooldown — Minimum bars between new zones of the same type (default: 10) Zone Behavior Max Touches Before Weak — After this many tests, zone is visually degraded (default: 4) Require Close to Break Zone — Prevents wick-through fake breaks (default: enabled) Detect Flip Zones — Enable/disable polarity reversal detection (default: enabled) Confluence Fast EMA Period — Short-term trend reference (default: 21) Slow EMA Period — Long-term structural reference (default: 200) Show EMAs — Toggle EMA plot visibility Use EMA Confluence in Scoring — Add/remove EMA from strength calculation Signals Show Entry Signals — Toggle entry labels Min Zone Strength for Signal — Minimum score required (default: 40%) Signal Cooldown — Minimum bars between signals (default: 5) Show Proximity Warnings — Toggle approach alerts Proximity Distance — How close price must be to trigger warning (default: 1.5 ATR) Risk/Reward Show Risk/Reward Projection — Toggle the dotted target line and R:R label Dashboard Show Dashboard — Toggle the information panel Position — Top Left, Top Right, Bottom Left, Bottom Right Dashboard Text Size — Tiny, Small, Normal Colors Bull / Demand Primary / Bright / Dim — Green family for demand zones Bear / Supply Primary / Bright / Dim — Red family for supply zones Flip Zone — Purple for polarity-reversed zones Proximity Warning — Orange for approach alerts Neutral / Neutral Light — Gray for structural elements ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions New Supply Zone Detected — Fires when a fresh supply zone is created New Demand Zone Detected — Fires when a fresh demand zone is created Supply Zone Touched — Fires when price enters a supply zone Demand Zone Touched — Fires when price enters a demand zone S/A/B-Tier Demand Signal — Confidence-based demand entry alerts S/A/B-Tier Supply Signal — Confidence-based supply entry alerts Any Demand / Supply / Zone Signal — Combined alert conditions All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Default Settings — Optimized For The default configuration is tuned for XAUUSD (Gold), major forex pairs, and indices on the 5-minute to 1-hour timeframes : 3 consecutive candles strikes the balance between sensitivity and reliability Volume multiplier at 1.0× captures most institutional moves without over-filtering Zone cooldown at 10 bars prevents cluster creation in volatile periods Max 4 touches before weak aligns with institutional order absorption theory EMA confluence enabled for trend-aligned zone scoring For other instruments or timeframes, adjust: Higher timeframes (4H, Daily) — Increase Origin Lookback to 8–10, increase Zone Height to 2.0+ ATR Scalping (1m, 5m) — Reduce Consecutive Candles to 2, reduce Cooldown to 5–7 bars Crypto — Increase Zone Height to 2.0–3.0 ATR (higher volatility), increase Volume Multiplier to 1.5× Forex majors — Use defaults, optionally reduce Volume Multiplier to 0.8× for pairs with lower tick volume Cleaner zones — Increase Consecutive Candles to 4–5, increase Volume Multiplier to 1.5× More zones — Decrease Consecutive Candles to 2, decrease Volume Multiplier to 0.7×, increase Max Zones ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 🏛 Institutional/Smart Money Traders — Designed to identify where large orders originated and where unfilled orders may remain 📐 Supply & Demand Traders — Automated zone detection with strength scoring replaces manual drawing 🥇 Gold & Forex Traders — Tuned for assets with clear institutional participation patterns 🧠 Systematic Traders — The 6-factor scoring system provides a quantitative framework for zone quality assessment 📊 Breakout Traders — Flip zone detection automatically identifies broken levels as new opportunity zones 📈 Traders who value clean charts — No clutter. Zones auto-degrade and auto-remove. Only relevant levels remain. ⚠ Traders who struggle with zone selection — The tier system physically tells you which zones are worth trading and which to ignore ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All zone detections are confirmed on bar close — zones do not repaint or move after creation Zone break confirmation uses candle close by default (not wicks) to prevent fake-outs — this can be toggled off for aggressive trading Flip zones inherit a reduced departure velocity (70% of original) to account for diminished institutional interest at reversed levels Volume delta uses candle direction (close vs open) as a proxy for buy/sell pressure — this is an approximation, not true order flow Dashboard updates on the last bar only for performance optimization Maximum 500 boxes, 500 labels, and 500 lines are used — on very low timeframes with extended history, oldest drawings may be automatically removed by TradingView's rendering limits Overlapping zone prevention runs at creation time — if a new zone would overlap an existing one of the same type, it is not created ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals and zone detections are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Supply and demand zones represent areas of historical interest, not guaranteed future reaction points. Past zone behavior does not guarantee future price reactions. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who demand clarity, confidence, and precision from their charts.
Indicador Pine Script®
por AlphaX-Trade
Trade Strategy Calculator [WillyAlgoTrader]📊 Trade Strategy Calculator is the first comprehensive mathematical strategy calculator built entirely inside TradingView — a 4-panel dashboard that computes position sizing, risk analysis, deposit growth projection, and Kelly Criterion optimization in real time, directly on your chart. No spreadsheets, no external tools, no switching tabs. Every number you need before entering a trade — position size, stop loss level, take-profit targets, commission impact, expected value, probability of ruin, compound growth forecast, and optimal bet sizing — calculated from your strategy parameters and displayed in a single organized view. This tool is useful for every trader regardless of market, instrument, or timeframe — stocks, forex, crypto, futures, indices, commodities. Whether you trade scalping on 1-minute charts or swing on daily, whether you use 1x spot or 125x futures leverage — the mathematics of position sizing, risk management, and bankroll growth are universal. This calculator puts those mathematics at your fingertips. 🧩 WHY ALL FOUR PANELS WORK TOGETHER Most traders calculate position size in isolation — they know how much to risk but don't connect it to their long-term growth trajectory. They know their win rate but don't know if it's mathematically profitable after commissions. They have a "feel" for their risk level but haven't computed what happens after 7 consecutive losses. This calculator connects four mathematical dimensions into one coherent picture: 🎯 TRADE panel answers: "How large should this specific trade be, and what are the exact entry/SL/TP prices?" ⚠️ RISK panel answers: "What happens when things go wrong — how many losses until I hit my daily limit, my max drawdown, and what's my expected value per trade?" 📈 GROWTH panel answers: "If I trade consistently with these parameters, where will my deposit be in 30/90/365 days — and how long to reach my target?" 📐 KELLY panel answers: "Am I betting the mathematically optimal amount — or am I over-betting (risking ruin) or under-betting (leaving growth on the table)?" A trader who only uses the TRADE panel knows their position size but not whether their strategy has positive expected value. A trader who only uses KELLY knows the optimal bet size but not the specific position for their current trade. A trader who only uses GROWTH knows the projection but not whether the underlying math is sound. All four together give you the complete picture: "Is my strategy profitable? Am I sizing correctly? What's the worst case? And where does this lead?" 🔍 WHAT MAKES IT ORIGINAL There is no other indicator on TradingView that combines all four of these mathematical models — position sizing, risk stress testing, compound growth simulation, and Kelly Criterion — into a single, real-time, interactive dashboard. Each panel alone would be a useful tool. Together, they create something that doesn't exist elsewhere on the platform. 🎯 PANEL 1 — TRADE (Position Sizing + Targets) This panel calculates the exact position size for your trade based on your deposit, risk percentage, stop loss distance, leverage, and commissions. Core formula: positionSize = riskAmount / (slDistance% + commissionBothSides) Where: — riskAmount = deposit × riskPerTrade% — slDistance% = slPercent × (1 + slippage%) — slippage is added to the stop distance for realistic sizing — commissionBothSides = commission% × 2 (open + close) This formula ensures that if your stop loss is hit, you lose exactly riskAmount — not more, not less — after accounting for both slippage and round-trip commission. What you see: — Direction (Long / Short) — Entry Price (manual or auto from chart) — Stop Loss price (calculated from entry ± SL%) — 💰 Position Size in USD — the headline number — Margin Required (if leverage > 1) — Quantity (units/coins/shares) — 🔴 Risk (loss) in USD and % of deposit — 🟢 Profit at TP — in USD, % of deposit, and net R:R after commission — TP Price level — Commission cost in USD — Liquidation price (for leveraged positions) — ⚠️ Insufficient margin warning (if position exceeds deposit) Multi Take-Profit mode: When enabled, the position is split across 2 or 3 TP levels with configurable volume allocation: — TP1 at R:R 1.0 with 50% of position → locks partial profit early — TP2 at R:R 2.0 with 30% → captures the main move — TP3 at R:R 3.0 with 20% (if 3 TPs) → runner for extended moves Each TP shows: profit in USD, target price. The panel also computes: — Total blended profit across all TPs — Net R:R (blended, after commissions) — Breakeven price after TP1 — the price where your remaining position becomes zero-loss after banking TP1 profit. This is critical: after TP1, you move your stop to this price — the trade can no longer lose money. Example: Deposit: $10,000. Risk: 1% ($100). SL: 2%. Commission: 0.04%. Position = $100 / (0.02 + 0.0008) = $4,808. If BTC at $100,000 → SL at $98,000, TP1 at $102,000. If stopped out → you lose exactly $100 (1% of deposit). If TP1 hit → you gain ~$96 (after commission). ⚠️ PANEL 2 — RISK (Stress Testing + Expected Value) This panel answers: "What happens when I have a losing streak, and is my strategy mathematically profitable?" Daily risk limit: maxLosingDaily = floor(dailyRiskLimit% / riskPerTrade%) Example: 3% daily limit, 1% per trade → you stop after 3 losses in a day. Max drawdown limit: maxLosingTotal = floor(maxDrawdown% / riskPerTrade%) Example: 20% max DD, 1% per trade → 20 consecutive losses to hit max DD. Stress test — losing streaks: The panel computes what happens after 5, 7, and 10 consecutive losses: — depositAfterN = deposit × (1 − riskPerTrade%)^N — drawdownAfterN = (1 − (1 − riskPerTrade%)^N) × 100% — probabilityOfN = (1 − winrate%)^N × 100% Example: $10,000 deposit, 1% risk, 55% winrate: — 5 losses: −4.9% DD ($9,510), probability 1.85% — 7 losses: −6.8% DD ($9,321), probability 0.37% — 10 losses: −9.6% DD ($9,044), probability 0.03% This tells you: a 5-loss streak WILL happen (1.85% probability over hundreds of trades). A 10-loss streak is extremely rare (0.03%). Your risk% must be sized so that even the realistic worst case doesn't blow your account. Expected Value (EV): EV per trade = winrate × riskAmount × avgR:R − (1 − winrate) × riskAmount − commission This is the single most important number in trading. If EV > 0, your strategy makes money over time. If EV < 0, no amount of position sizing saves you. The panel shows: — 📈 EV per trade in USD (highlighted — this is the headline metric) — EV per 100 trades — Break-even winrate WITH commission — the minimum winrate needed to be profitable at your R:R, accounting for commission drag — Your actual WR and R:R for comparison Break-even winrate formula (with commission): beWinrate = (1 + commissionCost / riskAmount) / (avgR:R + 1) This is more accurate than the standard 1/(R:R+1) because it accounts for commission reducing your net edge. 📈 PANEL 3 — GROWTH (Deposit Projection + Scenarios) This is the unique deposit growth simulator — it projects where your deposit will be after N days of consistent trading, using either compound (reinvest profits) or simple (fixed risk from initial deposit) growth. Compound growth formula: EV per trade as % = winrate × (risk% × R:R) − (1 − winrate) × risk% totalTrades = tradesPerDay × projectionDays finalDeposit = deposit × (1 + evPerTrade%)^totalTrades Simple growth formula: finalDeposit = deposit + deposit × evPerTrade% × totalTrades The difference is massive. Compound growth reinvests profits — each winning trade increases the base for the next trade. Simple growth always risks a fixed amount from the initial deposit. Example — compound vs simple: $1,000 deposit, 55% WR, 1:2 R:R, 1% risk, 3 trades/day, 30 days: — Simple: $1,000 + $1,000 × 0.65% × 90 = $1,585 — Compound: $1,000 × (1.0065)^90 = $1,795 Over 90 days: $1,585 vs $1,795. Over 365 days the gap becomes enormous. This is why compound growth (reinvesting profits) is the key to deposit acceleration. Three scenarios: — 🟢 Optimistic: your winrate + 10% (what happens if you're having a great month) — 🟡 Realistic: your actual parameters — 🔴 Pessimistic: your winrate − 10% (what happens during a drawdown period) This gives you a range, not a single number. If even the pessimistic scenario is positive, your strategy is robust. Goal milestones: — Days to 2× deposit (double your money) — Days to 3× deposit — Days to custom target ($5,000, $10,000, etc.) Formula: daysToTarget = log(target / deposit) / (log(1 + evPerTrade%) × tradesPerDay) Risk metrics: — Max estimated drawdown: based on expected worst losing streak × risk% — Ruin probability: the probability of losing your entire bankroll at your current risk level Ruin probability formula: edge = winrate × R:R − (1 − winrate) bankrollUnits = floor(100 / risk%) ruinProb = ((1 − winrate) / (winrate × R:R))^bankrollUnits If edge ≤ 0, ruin probability is effectively 100%. If edge > 0, ruin probability decreases exponentially with more bankroll units (lower risk%). Presets for quick scenarios: — Beginner: 45% WR, 1:2 R:R, 1% risk — conservative starting point — Moderate: 55% WR, 1:2 R:R, 2% risk — typical intermediate trader — Aggressive: 50% WR, 1:3 R:R, 3% risk — higher risk, needs discipline — Custom: uses your exact My Strategy values 📐 PANEL 4 — KELLY CRITERION (Optimal Bet Sizing) The Kelly Criterion is the mathematically optimal percentage of your bankroll to risk on each bet, given your edge. It maximizes the long-term growth rate of your account. Kelly formula: edge = winrate × avgR:R − (1 − winrate) kellyPercent = edge / avgR:R If edge ≤ 0 → Kelly = 0% (no edge, don't trade). If edge > 0 → Kelly tells you the maximum you should risk. What the panel shows: — Your winrate and avg R:R — Break-even winrate (with commission) — 📐 Edge per $1 risked — your mathematical advantage. If +$0.15, every $1 risked returns $1.15 on average. — Full Kelly % — the theoretical maximum. Most traders should NOT use this — it's too aggressive. — Half Kelly ✦ — the recommended practical value. Reduces variance by ~75% while giving up only ~25% of growth. — Quarter Kelly — ultra-conservative, minimal variance. — Your current risk % — so you can compare — Status: 🟢 Optimal (between half and full Kelly), 🟡 Conservative (below half), 🔴 Over-bet (above full Kelly), 🚨 >2× Kelly (danger zone) Growth rate comparison: — Growth rate at Kelly %: the compound growth rate per trade at the optimal bet size — Growth rate at your %: your actual compound growth rate per trade Formula: growthRate = winrate × log(1 + risk% × R:R) + (1 − winrate) × log(1 − risk%) If your rate is close to the Kelly rate, you're near-optimal. If it's much lower, you're leaving growth on the table. If it's negative (possible when over-betting!), you're actually losing money despite having a positive edge — the over-betting destroys the compounding. Why this matters: A trader with a 55% WR and 1:2 R:R has an edge. Kelly says risk ~4.6%. But if that trader risks 10% per trade (2× Kelly), their actual growth rate can become negative — they go broke despite having a winning strategy. This is the most counterintuitive result in trading mathematics: over-betting a winning system turns it into a losing system . The Kelly panel prevents this. 📖 HOW TO USE — STEP BY STEP Step 1 — Enter your strategy parameters (My Strategy section): — Deposit: your actual account balance in USD — Risk per Trade: how much you risk per trade (start with 1% if unsure) — Winrate: your historical win rate (be honest — check your journal) — Average R:R: your average reward-to-risk on winning trades — Trades per Day: how many trades you typically take — Leverage: 1 for spot, or your futures leverage — Commission: your exchange fee per side (Binance Futures taker: 0.04%) Step 2 — Set up your current trade (Trade Setup section): — Direction: Long or Short — Stop Loss %: how far your SL is from entry — Risk:Reward: your target R:R for this trade — Entry Price: manual or auto from chart Step 3 — Read the TRADE panel: — The 💰 Position Size number is your order size in USD — If using leverage, check Margin Required doesn't exceed your deposit — Note the SL and TP prices — set these in your exchange Step 4 — Check the RISK panel: — Is your EV per trade positive? If not, your strategy loses money long-term — Is your winrate above the break-even? If not, improve your R:R — Check the stress test: can your deposit survive 7 losses in a row? — If the risk badge shows 🚨 DANGER, reduce your risk% or leverage Step 5 — Review the GROWTH panel: — The projected deposit shows where you'll be in 30 days — Check the pessimistic scenario — is it still above your starting deposit? — Note the days to 2× — this is your compound growth timeline — If ruin probability > 5%, your risk is too high Step 6 — Optimize with KELLY panel: — Compare your risk% to Half Kelly — this is the recommended level — If Status shows 🔴 Over-bet, reduce your risk% — If Status shows 🟡 Conservative, you could increase (but don't have to) — Check Growth Rate at Your % — is it positive? Is it close to Kelly's rate? 🎯 PRACTICAL EXAMPLES Example 1 — Conservative Spot Trader: Deposit $5,000, Risk 1%, WR 55%, R:R 1:2, 2 trades/day, No leverage, Commission 0.1% — Position: ~$2,500 per trade. Risk: $50. — EV: +$5.60 per trade. Positive — strategy is profitable. — 30-day projection (compound): $5,000 → $5,705 (+14.1%) — Days to double: ~98 days — Kelly: 4.6%. Your 1% = conservative. Status: 🟡 Example 2 — Crypto Futures Scalper: Deposit $1,000, Risk 2%, WR 50%, R:R 1:3, 5 trades/day, Leverage 10x, Commission 0.04% — Position: ~$10,000 per trade. Margin: $1,000. Risk: $20. — EV: +$10.40 per trade. Strong positive edge. — 30-day projection (compound): $1,000 → $4,680 (+368%) — Days to double: ~14 days — Kelly: 8.3%. Your 2% = well below Kelly. Room to grow. — ⚠️ But 7-loss streak probability: 0.78%. DD: −13.2%. Manageable. Example 3 — Why Over-Betting Kills: Same as Example 2, but Risk 15% (almost 2× Kelly): — EV per trade still positive (+$78) — BUT growth rate per trade: NEGATIVE (−0.3%) — 30-day projection: $1,000 → $620 (−38%) — Kelly Status: 🚨 >2× Kelly — Despite winning 50% with 1:3 R:R, you LOSE money because over-betting destroys compounding. ⚙️ KEY SETTINGS REFERENCE ⚙️ My Strategy: — Deposit : account balance in USD — Risk per Trade (default 1%): % of deposit risked per trade — Winrate (default 55%): historical win rate — Average R:R (default 2.0): average reward-to-risk on wins — Trades per Day (default 3): daily trade count — Leverage (default 1): 1 = spot, >1 = futures — Commission (default 0.04%): exchange fee per side 🎯 Trade Setup: — Direction : Long / Short — Stop Loss % (default 1%): SL distance from entry — Risk:Reward (default 2.0): target R:R — Slippage (default 0.05%): expected execution slippage — Entry Price : Manual or Auto (chart price) 🎯 Multi Take-Profit: — Enable Multi TP (default Off): split into 2–3 targets — R:R for TP1/TP2/TP3 (default 1.0/2.0/3.0) — Volume allocation (default 50%/30%/20%) 📈 Growth Projection: — Preset : Beginner / Moderate / Aggressive / Custom — Projection Period (default 30 days) — Compound (default On): reinvest profits — Target Deposit (default 0 = off): goal amount — Max Daily Risk (default 3%): daily loss limit — Max Drawdown (default 20%): total DD limit 🎨 Visual: — Font Size: Tiny / Small / Normal / Large — Auto / Dark / Light theme ⚠️ IMPORTANT NOTES — 📊 This is a calculator, not a signal generator. It does not produce buy/sell signals. It computes the mathematical framework for your trading decisions — position sizing, risk limits, growth projections, and optimal bet sizing. The math is universal and applies to any strategy. — 📐 All calculations are deterministic — they depend only on your input parameters, not on price data. The dashboard updates in real-time when you change any input. — ⚖️ The growth projection assumes consistent strategy parameters over the projection period. Real trading involves varying win rates, R:R ratios, and market conditions. The three scenarios (optimistic/realistic/pessimistic) partially address this by showing a range. — 📏 The Kelly Criterion assumes known, fixed probabilities . In practice, your winrate and R:R fluctuate. This is why Half Kelly (not Full Kelly) is recommended — it accounts for parameter uncertainty. — 💰 Commission is calculated as round-trip (both sides) and deducted from both profit calculations and expected value. This provides realistic net returns. — 📊 The break-even winrate calculation includes commission drag — it's higher than the simplified 1/(R:R+1) formula because commission erodes your edge. — 🔄 The compound growth formula uses logarithmic overflow protection — if the projected growth exceeds exp(23) ≈ 10 billion ×, it displays "∞" instead of crashing. — 🛠️ Works on any chart, any instrument, any timeframe . The calculator is price-independent — it uses your manual inputs. "Auto" entry price mode uses the current chart close for convenience. — 🌐 Useful for all markets : stocks (set leverage = 1, commission = 0.1%), forex (adjust for pip-based SL), crypto spot (leverage = 1), crypto futures (set your leverage), indices, commodities.
Indicador Pine Script®
por WillyAlgoTrader
1
CVD IQ [TradingIQ]Hello Traders! 🔹 CVD IQ CVD IQ is a delta-driven analytical tool designed to reveal how aggressive buying and selling activity translates into price movement. Instead of relying purely on price, this indicator reconstructs order flow dynamics using lower timeframe data , allowing you to see: Where did the pressure come from… and how efficiently did it move price? It focuses on answering a deeper question: Was the move driven by real participation, or was it inefficient, absorbed, or divergent? aggressive buy vs sell activity (CVD) price vs delta divergences efficiency of price movement relative to flow cost of moving price (delta per tick) absorption and imbalance conditions multi-scale flow analysis (bar, day, swing) classic divergence detection (RSI style) 🔹 What the indicator shows 🔸 Cumulative Volume Delta (CVD) CVD is built using lower timeframe data to approximate aggressive buying and selling. This allows you to track: whether buyers or sellers are in control how much pressure is building over time when participation is increasing or fading 🔸 IMMEDIATE Divergence detection (Classic & Cost Models) The indicator detects when price and delta are out of sync . Classic divergence highlights: price making new highs while delta weakens price making new lows while delta strengthens potential exhaustion or reversal conditions Cost-based divergence goes further by evaluating: how much delta was required to move price whether moves are becoming more or less efficient hidden weakness in “expensive” price movement This shifts your perspective from: “price is moving” to: “how much effort did it take to move price?” 🔸 CVD Cost Per Tick (Efficiency Analysis) One of the most important features. The indicator measures: Delta per tick = how much aggressive volume was required to move price This allows you to identify: efficient moves (low cost → strong response) inefficient moves (high cost → weak response) potential exhaustion when cost rises sharply Each swing is classified into categories like: Very High Cost High Cost Normal Cost Low Cost Very Low Cost High cost often signals absorption or resistance from opposing liquidity . 🔸 Swing-based flow analysis The indicator breaks market structure into swings and evaluates: delta across each swing cost of movement between pivots relative efficiency vs previous swings This helps you understand: whether trends are strengthening or weakening if continuation is becoming harder when liquidity is likely opposing the move 🔸 Delta-Implied Close (Expected Price) The script estimates where price should have closed based on delta. This gives insight into: whether price overperformed or underperformed relative to flow hidden absorption when price fails to match delta inefficiencies between participation and result Important Note This model is adaptive and continuously updates based on changing market conditions. It is not a predictive engine, but rather a framework for interpreting how order flow is currently interacting with price. 🔸 Delta Analysis Table (Bar / Day / Swing) A live table provides a structured breakdown of flow and price response across three contexts: current bar current day current swing It includes: aggressive buy & sell volume buy/sell percentages net delta imbalance ratios price movement in ticks close position within range delta cost per tick cost classification absorption detection This allows you to quickly answer: Who is in control, and is price responding properly? 🔹 Table Overview Metric Name of the metric shown in each row. Bar Value calculated for the current bar only. Day Value accumulated from the start of the current day. Swing Value accumulated from the start of the current swing. 🔹 Flow Aggressive Buys Total buy-side market order volume. Higher values indicate stronger buying pressure. Aggressive Sells Total sell-side market order volume. Higher values indicate stronger selling pressure. Buy % Percentage of total aggressive volume coming from buyers. Higher values indicate buy-side dominance. Sell % Percentage of total aggressive volume coming from sellers. Higher values indicate sell-side dominance. Net Delta Aggressive buys minus aggressive sells. Positive values favor buyers, negative values favor sellers. Imbalance Ratio Relative dominance between buyers and sellers, expressed as a multiple. Higher values indicate stronger directional control. 🔹 Price Response Total Aggression Combined aggressive buy and sell volume. Represents total market participation. Bar Tick Move Price movement measured in ticks. Shows how far price moved over the period. Close Position Where price closed within its range. Higher values mean the close is nearer the high, lower values nearer the low. 🔹 Efficiency & Cost Delta Cost / Tick How much delta was required to move price by one tick. Higher values indicate less efficient movement and potential absorption. Cost Classification of how expensive the move is relative to recent conditions. High cost suggests resistance or absorption, low cost suggests efficient movement. Ticks per 1k Delta Number of ticks price moved per 1000 delta. Higher values indicate more efficient price movement. Price Move per 1k Delta Actual price movement per 1000 delta. Higher values indicate stronger price response to order flow. 🔹 Delta-Based Expectations Delta-Implied Close The price level where the bar would be expected to close based on the underlying delta. Move Ratio Actual price movement relative to the delta-implied move. 1.0 = expected response 1.0 = stronger than expected <1.0 = weaker than expected 🔹 How to read it Each component provides a different layer: CVD → who is active Divergence → when price and flow disagree Cost → how efficient the move is Table → structured confirmation across contexts Together, this shifts your thinking from: “price moved up” to: “buyers were aggressive - but did price actually respond?” 🔹 Example interpretations strong delta + efficient move → clean continuation strong delta + weak move → absorption rising cost over time → trend weakening divergence signals → potential reversal or trap low cost + expansion → strong directional move 🔹 Why this indicator is useful It gives you: participation behind price context for whether moves are efficient early detection of exhaustion or absorption a way to quantify “effort vs result” multi-timeframe flow insight (bar, day, swing) 🔹 Best use cases confirming trend strength identifying weak breakouts spotting absorption at key levels analyzing liquidity interaction enhancing price action or liquidity-based models 🔹 Important note This script uses lower timeframe data to approximate aggressive volume. This means: accuracy depends on data availability different symbols may behave differently lower timeframe selection impacts results 🔹 Inputs you can customize lower timeframe for CVD calculation divergence models (Classic / Cost / Both) divergence sensitivity (small, medium, large swings) cost structure length and thresholds visual styling and colors delta analysis table size Closing Notes CVD IQ is built to show the relationship between participation and outcome . As always, thank you TradingView!
Indicador Pine Script®
por Trading-IQ
2
Case's Modern MACD-Volatility Normalized MomentumCase's Modern MACD-Volatility Normalized Momentum Based on the award-winning academic research of Alex Spiroglou, CFTe, MSTA — NAAIM Founders Award & Charles H. Dow Award (2022) 📄 Original paper: SSRN #4099617 What Is MACD-V? The standard MACD has a fundamental flaw: its raw values are denominated in price, making them incomparable across assets, timeframes, and volatility regimes. A MACD reading of 5.0 means something completely different on NVDA vs. SPY vs. BTC. MACD-V solves this by dividing the MACD by ATR × 100, producing a volatility-normalized momentum oscillator that is: Comparable across all tickers and timeframes Centered around fixed, meaningful thresholds (±50, ±150, ±200) Regime-aware — you know exactly where you stand in the momentum lifecycle at all times This script extends the core MACD-V framework with a full Momentum Lifecycle Road Map, Trend Regime Filter, Regime-Aware Opportunity Zones, Acceleration (2nd Derivative), and several supporting systems. Core Components 1. MACD-V Line The volatility-normalized momentum line. Default parameters: Fast EMA 12, Slow EMA 26, ATR 26 — the same as classic MACD, but normalized. The line is color-coded by momentum state (see Momentum Lifecycle below). 2. Signal Line A 9-period EMA of MACD-V. Crossovers and the MACD-V's position relative to the signal define sub-states within each momentum zone. 3. MACD-VH Histogram The difference between MACD-V and its Signal Line. Color-coded by direction and growth: Teal (growing positive) — bullish momentum expanding Light teal (shrinking positive) — bullish momentum fading Light red (rising negative) — bearish momentum fading Red (falling negative) — bearish momentum expanding Extreme histogram readings beyond ±40 signal short-term overextension. 4. Acceleration (2nd Derivative) A smoothed EMA of the bar-to-bar change in MACD-V, scaled for visibility. Think of it as the rate of change of momentum. When acceleration is positive (teal), momentum is building. When negative (red), it's waning — even if the MACD-V line itself is still rising. This is particularly powerful for timing entries and exits. The Momentum Lifecycle Road Map MACD-V's fixed thresholds carve price momentum into 8 distinct states, each with a precise behavioral expectation: StateMACD-V Rangevs. SignalColorInterpretationRisk (Overbought)> 150—🔴 RedMomentum extended; risk of reversal or correctionRallying50 to 150Above🟢 GreenStrong bullish momentum with trend confirmationRetracing50 to 150Below🟠 OrangeBullish zone but losing momentum; cautionRanging (Bullish)-50 to 50Above🩵 TealConsolidation with bullish biasRanging (Bearish)-50 to 50Below🔴 RedConsolidation with bearish biasRebounding-150 to -50Above🟢 Light GreenRecovering from oversold; potential reversalReversing-150 to -50Below🟣 PurpleBearish zone, still decliningRisk (Oversold)< -150—🔴 RedMomentum deeply negative; exhaustion risk/opportunity A status table in the top-right corner always shows the current state, trend regime, opportunity zone, and acceleration direction — no squinting at the chart required. Trend Regime Filter (200 EMA Slope) A row of dots plotted below the oscillator, colored by the slope of the 200-period EMA: 🟢 Green — Rising 200 EMA → Bullish Regime 🔴 Red — Falling 200 EMA → Bearish Regime ⚫ Gray — Flat → Neutral Regime This single filter dramatically changes how you interpret every other signal on the indicator. Regime-Aware Opportunity Zones This is where the indicator gets powerful for active traders. The trend regime context transforms oversold/overbought readings into actionable setups: 🟢 Bull Regime Signals (200 EMA rising) SignalConditionMeaningBuy the Dip ZoneMACD-V between -50 and -150Normal pullback in an uptrend — historically high-probability long entryRare Buy!MACD-V ≤ -100Deep dip in bull trend — a rarer, higher-conviction setupExtreme OB WarningMACD-V > 200Even in a bull regime, this level of extension warrants caution 🔴 Bear Regime Signals (200 EMA falling) SignalConditionMeaningShort the Rip ZoneMACD-V between 50 and 150Counter-trend bounce in a downtrend — potential short entryRare Short!MACD-V ≥ 100Extended rip in a bear regime — rarer, higher-conviction short setupExtreme OS OpportunityMACD-V < -200Even in a bear regime, this extreme may offer a tradeable bounce Zones are highlighted with background color fills and shape markers (triangles for zone entries, diamonds for rare signals) at the pane edges. How to Use It: Practical Examples Example 1: Buying the Dip in a Bull Trend Scenario: SPY, daily chart. 200 EMA is rising (green dots). MACD-V drops from +80 (Rallying) into the -50 to -150 range. Regime dots turn green → confirmed bull regime Status table shows "Buy the Dip Zone" with green background MACD-V hits -90, acceleration flips positive (teal area) MACD-V crosses above signal line → state transitions from Reversing to Rebounding Entry signal: long on the Rebounding transition with acceleration confirming. Stop below the prior swing low. Target: return to Rallying zone (+50 to +150) Example 2: Shorting the Rip in a Bear Trend Scenario: QQQ, daily chart. 200 EMA is falling (red dots). After a sharp decline, price bounces and MACD-V pushes up toward +80. Regime dots are red → confirmed bear regime MACD-V enters the 50–150 range → "Short the Rip Zone" activates Histogram begins shrinking (light teal → light red) Acceleration turns negative while MACD-V is still above +50 MACD-V crosses below signal line → Rallying → Retracing state change Entry signal: short on the Retracing state entry. Target: return to Ranging or lower Example 3: Identifying Exhaustion at Extremes Scenario: Individual stock surges — MACD-V blows past +150 into Risk (Overbought) and then crosses +200 (Extreme OB). Status table shows "Risk (Overbought)" — position sizing should be reduced MACD-V crosses +200 → Extreme OB background activates (dark red) If in a bull regime: the "Extreme OB Warning" marker fires at the pane ceiling — this is a warning to tighten stops or take partial profits, not necessarily to go short outright Acceleration turns negative while MACD-V is still above 150 → divergence between price extension and momentum rate-of-change Watch for MACD-V to turn down and re-enter the 50–150 Rallying zone — that first pullback often offers the next long entry Example 4: Reading the Histogram for Short-Term Timing Scenario: You've identified a bullish setup but want better entry timing. MACD-V is in Ranging (Bullish) (-50 to 50, above signal) Histogram is positive but shrinking (light teal) — don't chase yet Wait for histogram to grow again (dark teal bars) → momentum is re-accelerating Acceleration area flips from red to teal → confirmation This sequence often pinpoints within 1-2 bars of the optimal entry Example 5: The Bearish Divergence Setup Scenario: A stock is below its daily 200 SMA but MACD-V is in the Rebounding or Reversing zone. Price is in a longer-term downtrend (below 200 SMA) A light blue background appears — this is the bearish divergence warning: short-term momentum is recovering, but the bigger picture remains weak Use this signal to fade bounces or simply avoid longs until the regime and trend realign Supporting Systems (Optional) LBR 3/10 Oscillator (Sardine) Linda Bradford Raschke's classic short-term momentum oscillator, volatility-normalized using the same MACD-V methodology. Toggle on to use as a leading signal for MACD-V crossovers — the 3/10 typically turns before the 12/26. Elder Impulse Plus Bar Coloring Combines the direction of a 13-period EMA with the direction of the MACD-VH histogram to color price bars: 🟢 Green: EMA rising + histogram expanding positive → buy 🔴 Red: EMA falling + histogram expanding negative → sell/avoid longs 🔵 Blue: Mixed signals → stand aside Built-In Alerts The indicator includes 18 alert conditions, covering: MACD-V / Signal Line crossovers (bullish & bearish) Zero line crossovers Entry into all 8 momentum lifecycle states Extreme regime signals (Bull + >200, Bear + <-200) MACD-VH overbought/oversold extremes (±40) MACD-V direction changes (turned up / turned down) Set alerts on any condition without having to stay glued to the chart. Pine Screener Compatible Four numeric values are plotted to the Data Window for use with TradingView's Pine Screener: Momentum State # (4 to -4) MACD-V Direction (1, 0, -1) Trend Regime # (1, 0, -1) Acceleration Direction (1, -1) Screen entire watchlists for, e.g., "Bull regime + Momentum State = Rebounding + Acceleration positive" — a powerful combination for systematic scan-based trading. Settings Reference ParameterDefaultPurposeFast / Slow EMA12 / 26MACD-V core calculationATR Length26Volatility normalizationSignal Line9EMA of MACD-VRisk Levels±150Overbought/oversold thresholdsFast/Slow Boundary±50Momentum zone boundariesTrend EMA Length200Regime filterRare Buy/Short Level±100Rare signal thresholdsExtreme Level±200Extreme zone definitionAccel Smooth / Scale5 / 4.0Acceleration sensitivity Credits & Disclaimer This indicator is a heavily extended implementation of the MACD-V framework developed by Alex Spiroglou, winner of the 2022 NAAIM Founders Award and Charles H. Dow Award. Full academic methodology is available in the original paper linked above. This script is published for educational and analytical purposes only. Nothing here constitutes financial advice. All trading involves risk. Past performance of any indicator is not indicative of future results.
Indicador Pine Script®
por xdeerizx
3
EMA + ATR PRO Ultimate Engine📌 EMA + ATR PRO Ultimate Engine EMA + ATR PRO Ultimate Engine is a trend-following and structure-based signal indicator designed to provide clean, non-redundant entries while avoiding signal noise and overtrading. This script combines three core elements: ATR-based dynamic trend (trailing structure) EMA directional filtering Market structure break logic (swing highs/lows) The result is a balanced system that delivers early yet controlled entries, suitable for both intraday and swing trading. ⚙️ How It Works 1. ATR Trend Engine The indicator uses an ATR-based trailing level to define the current trend: Price above trail → bullish bias Price below trail → bearish bias This allows the system to adapt to market volatility instead of relying on static averages. 2. EMA Trend Filter Optional EMA filters (1 or 2 EMAs) are used to confirm directional bias: Price must align with EMA(s) for signals to trigger Helps reduce noise in ranging conditions 3. Structure Break Entries Signals are generated when price breaks previous swing levels: Break of previous high → BUY Break of previous low → SELL This ensures entries are based on actual market structure shifts, not just indicator crossings. 🚀 Key Features ✅ Flip-Based Signal System Only one primary signal per trend direction is allowed: After a BUY → no additional BUY signals until a SELL appears Prevents overtrading and signal clutter ⚡ Fast Entry Mode Uses high/low breakout (intrabar detection) Signals are confirmed at candle close Eliminates pivot delay while remaining non-repainting 🔁 Controlled Re-entry System (Optional) When enabled: Allows additional entries only after a pullback (HL/LH) Limited to one re-entry per pullback Avoids repetitive signals during strong trends 🔒 No Repainting All signals are confirmed on candle close (optional toggle) No future data is used 🎯 Inputs Overview EMA Filters → Enable/disable directional confirmation ATR Settings → Adjust sensitivity to volatility Fast Mode → Faster vs more conservative entries Re-entry Mode → Enable/disable continuation entries Signal After Close → Confirm signals only after candle close 📊 Best Use Cases Trending markets (Forex, Indices, Gold, Oil) Intraday trading (5m–15m) with Fast Mode Swing trading (1H+) with Fast Mode OFF ⚠️ Notes This indicator is not a standalone trading system It should be used in combination with: key levels (support/resistance) higher timeframe bias risk management rules 💡 Summary EMA + ATR PRO Ultimate Engine is designed to: Reduce signal noise Eliminate duplicate entries Provide structured, rule-based signals It offers a flexible balance between early entries and signal quality, making it suitable for traders who value both precision and discipline.
Indicador Pine Script®
por Aleksin_Aleksandar
Trend State [DAFE]Trend State A State-Driven Confidence Trend Engine Where Trend is Assessed as a Matter of Confidence, Not as a Binary Switch. The Trend State engine is a systematic approach to trend analysis designed to address the fundamental limitations of traditional, binary-state indicators. Its core premise is that a market trend is not an "on/off" condition but a dynamic state that builds, sustains, and loses confidence over time. Instead of relying on a single price crossover, this engine operates like a jury, continuously gathering and weighing multiple forms of evidence to determine the true state of the market. This results in a more nuanced, context-aware model that provides deeper insight into trend health, sustainability, and structural integrity. The Problem with Binary-State Trend Indicators Traditional indicators like a standard Supertrend operate on a binary, stateless model. A trend is either "up" or "down," and the switch is triggered by a single event: price closing across a calculated line. This model, while simple, suffers from critical drawbacks: Lack of Memory: It has no concept of how strong the previous trend was. A powerful, multi-month bull run is treated with the same fragility as a weak, two-day rally. Both can be negated by a single bar's close. Susceptibility to Whipsaws: Because the logic is binary, any volatile price action around the trendline can trigger a rapid succession of "buy" and "sell" signals, leading to over-trading in choppy or transitional markets. No Concept of Neutrality: The market is forced into a bullish or bearish classification at all times. It lacks a "gray area" or a state of indecision, which is where many binary systems fail. No Context of Trend Health: It cannot differentiate between a healthy, accelerating trend and one that is structurally compromised and likely to fail. The Trend State Solution: A Multi-Pillar Confidence Model The Trend State engine solves these issues through its proprietary architecture. Pillar 1: The Rolling Evidence Matrix This is the core of the engine. Instead of a single condition, the system maintains ten "evidence buckets"—five for bullish evidence and five for bearish. On every bar, new evidence is added to these buckets based on specific market behaviors. Simultaneously, the old evidence in every bucket is subject to a time-based decay , ensuring that recent events carry more weight than older ones. The five categories of evidence collected are: Impulse: Strong, directional thrust bars with high volume and a close near the highs/lows. Represents aggressive participation. Structure: The breaking of recent swing highs/lows, or the reclamation of those levels after a failed break. Represents technical progress. Exhaustion: Reversal pressure, identified through significant rejection wicks or volume divergences. Represents the failure of the opposing side. Continuation: Quiet persistence, such as price continuing to close higher/lower while respecting the underlying price anchor. Represents sustained momentum. Compression: A decrease in range and volatility, suggesting a buildup of energy for the next directional move. Each category has a user-defined weight , allowing for fine-tuning of the engine's sensitivity to different market behaviors. The sum of this weighted evidence creates the final Bull and Bear Confidence Scores . Pillar 2: The 3-State Engine (Bull / Transition / Bear) Based on the confidence scores, the engine operates in one of three states: Bull State (1): Bullish evidence is dominant, substantial, and actively holding above key thresholds. Bear State (-1): Bearish evidence is dominant, substantial, and actively holding above key thresholds. Transition State (0): Neither side has sufficient confidence, or the dominant side is losing its grip. This is the critical "gray area" where binary indicators produce whipsaws. The Trend State engine identifies this as a period of indecision or a potential turning point. Pillar 3: The Damage Detection Layer This is a crucial innovation that provides context on trend health. If a trend is in an active Bull or Bear state, this layer continuously scans for signs of structural compromise (e.g., price crossing below the anchor, strong opposing impulse bars, high opposing pressure). If enough "damage" accumulates, the trend is flagged as Damaged . A damaged state has critical consequences: Accelerated Deterioration: The confidence score of the current trend decays faster. Reduced Impulse: New evidence in favor of the damaged trend has less impact. Increased Fragility: The thresholds required to flip the trend into a Transition state are lowered, making it easier for the compromised trend to fail. Pillar 4: Optional Footprint Enhancement For maximum fidelity, the engine can integrate real order flow data from footprint charts. This enhances the evidence-gathering process by confirming price action with volume. For example, a bullish impulse bar is given a significantly higher score if it is accompanied by strong, positive delta, confirming aggressive market buying. A METHODOLOGICAL COMPARISON: Standard Supertrend vs. Trend State Engine To understand the architectural difference, consider this side-by-side comparison: 🔧 COMPREHENSIVE INPUT SYSTEM Core Engine Anchor Length: The EMA period for the central price anchor, which acts as the gravitational baseline for the system. Base Width Multiplier: The master ATR multiplier for the trail distance. Bucket Decay: The per-bar decay rate (0.50-0.99) for all evidence buckets. A lower value gives the system a shorter memory, while a higher value allows it to "remember" evidence for longer. Bucket Weights Granular control to assign a weight to each of the five evidence categories ( Impulse, Structure, Exhaustion, Continuation, Compression ). This allows you to calibrate the engine's personality—for example, making it more sensitive to structural breaks than to impulse moves. State Engine Enter Net Threshold: The minimum net confidence score (Bull Score - Bear Score) required to shift from the Transition state into a confirmed Bull or Bear state. Hold Net Threshold: While in an active Bull/Bear state, if the net confidence falls below this value, the trend is considered lost, and the engine returns to the Transition state. Dominance Threshold: A ratio (Net / Total) that ensures a true trend is established, not just a slight edge in a low-activity market. Damage Layer Enable Damage Detection: Toggles the entire damage analysis module. Damage Score Threshold: The cumulative damage score required to flag a trend as "Damaged." Decay Multiplier, Impulse Retention, Threshold Ease: A suite of inputs to control exactly how a "Damaged" state affects the system's behavior, allowing for fine-tuning of its risk-off response. 🎨 ADVANCED VISUAL SYSTEM The Trend State engine leverages the DafeVisLib library to provide a clean, professional, and highly informative visual experience. The Main Trend Line: The line's color instantly communicates the current state: Bullish, Bearish, or Transition. Crucially, it will adopt a distinct "alert" color when the active trend is flagged as Damaged . State Markers: Clear labels appear on the chart to mark the exact bar where the state shifts to Bull (▲), Bear (▼), or Transition (◆). Damage Markers: An alert symbol (!) appears above/below the bar when the Damage Threshold is breached, providing an un-missable visual warning of trend deterioration. The Cloud: The area between the trend line and the price anchor is shaded, creating a dynamic cloud that provides a clear visual representation of the trend's strength and control. 📊 GAUGE DASHBOARD & NARRATIVE PANEL The indicator includes two advanced UI elements for at-a-glance analysis. The Gauge Dashboard This panel provides a complete quantitative breakdown of the engine's internal state, featuring: State Info: Displays the current state, Footprint status, and live Delta. Confidence Engine Gauges: Real-time gauges visualizing the raw Bull, Bear, and Net Confidence scores. Pressure Kinetics Gauges: Displays the Dominance and Pressure ratios, showing which side is in control of the market auction. Damage Layer Gauges: Shows the current Damage Status (Intact/Damaged) and the live scores being accumulated against the active trend. Evidence Bucket Breakdowns: Individual gauges for all 10 evidence buckets, allowing you to see exactly what kind of evidence is driving the current market move. The Narrative Panel This unique panel provides a qualitative, human-readable summary of the complex quantitative data from the engine. It translates the numbers into a clear story, with simple statements describing the current Regime , Kinetics , Structure , and Order Flow . ⚖️ RESPONSIBLE USAGE This is a Decision-Support System: The Trend State engine is designed to provide a deep, contextual understanding of trend health. It is not a black-box signal generator. Its outputs should be used to inform and enhance a pre-existing trading plan. Context is Key: A "Bull State" confirmation is a statement about trend confidence, not a guarantee of future price movement. Always consider the broader market context. Calibration is Recommended: The default weights and thresholds are robustly balanced, but the true power of the engine is unlocked by calibrating these settings to the specific personality of the asset and timeframe you are trading. 🔮 CONCLUSION The Trend State engine represents a significant evolution in trend analysis. By moving away from a simple, binary model and adopting a multi-faceted, evidence-based confidence system, it offers a more robust and realistic interpretation of market dynamics. Its ability to quantify trend health through its Damage Layer and to recognize periods of indecision with its Transition State provides traders with critical context that traditional indicators simply cannot see. This is a tool for traders who wish to understand not just the direction of a trend, but its quality, sustainability, and structural integrity. — Dskyz, Trade with insight. Trade with anticipation. (Funny how innovation suddenly shows up everywhere once you build something real. This is a Rolling Confidence Matrix , foundation level work, not copied code, not recycled concepts, and not the same thing with a new paint job.)
Indicador Pine Script®
por DskyzInvestments
1
Liquidity Sweep Reaction Grid [PhenLabs]📊 Liquidity Sweep Reaction Grid Version: PineScript™ v6 📌 Description The Liquidity Sweep Reaction Grid (LSRG) is a full-stack sweep detection and reaction classification engine that maps probable sweep zones, scores their structural quality, and labels the outcome — continuation, reclaim, or failure — directly on the chart. Unlike generic liquidity level tools that only show where sweeps may occur, LSRG tells you how convincing the sweep was and what likely happens next. Every sweep event is evaluated across five independent quality factors: volumetric pressure, wick-to-body rejection ratio, close-back strength, higher-timeframe bias alignment, and session context. The result is a 1–5 star quality score displayed at the sweep bar, allowing traders to immediately distinguish between a genuine displacement sweep and low-conviction wick noise. Only sweeps meeting a configurable score threshold generate the post-event classification labels, keeping the chart readable and actionable. LSRG is designed as a high-signal context layer — not a standalone entry trigger. It identifies the structural conditions that precede high-probability reactions and gives traders a systematic framework for evaluating sweep quality at a glance. 🚀 Points of Innovation Five-factor reaction quality score (★1–★5) evaluated independently at each sweep bar — separates displacement events from wick noise with a single glance Post-event classification labels (▶ CONT / ↩ RECLAIM / ✕ FAIL) resolve automatically after the sweep, removing the guesswork of manual outcome tracking HTF bias integration: higher-timeframe EMA is used as a directional filter, meaning sweeps aligned with HTF momentum receive boosted quality scores and are plotted in bias-consistent color Session-aware weighting: NY open and London open windows automatically boost sweep quality scores, reflecting the elevated institutional participation and displacement probability during these periods ATR-proportional sweep bands: zone width is normalized to current volatility rather than a fixed price offset, making the bands meaningful and comparable across instruments and timeframes 🔧 Core Components Swing Pivot Engine: Uses confirmed pivot highs and lows (configurable lookback, no future reference) as the baseline liquidity levels that sweeps are measured against ATR Wick Classifier: Measures wick extension beyond the pivot in ATR units — only wicks meeting the minimum ATR multiplier threshold qualify as candidate sweeps Volume Z-Score Filter: Computes a rolling 20-bar volume z-score and requires a minimum threshold for sweep confirmation, ensuring volumetric participation is present Reaction Quality Scorer: Evaluates five independent binary factors (volume spike, wick dominance, close-back strength, HTF alignment, session context) and sums them into a 0–5 score SweepEvent State Machine: Tracks each qualified sweep as an open event and evaluates price behavior in subsequent bars to classify the outcome as continuation, reclaim, or failure HTF Bias Layer: Pulls the higher-timeframe EMA via request.security with lookahead_off and uses it both as a visual reference line and as a quality scoring input 🔥 Key Features Quality Score Labels (★N/5): Displayed directly on the sweep bar — configure the minimum score required before outcome labels are generated to control label density Dynamic Sweep Bands: ATR-proportional boxes extend forward from each sweep event, visually marking the reaction zone for the configured number of bars Outcome Classification Labels: ▶ CONT fires when price moves ≥1 ATR in the sweep direction; ↩ RECLAIM fires on a clean close-back to the level; ✕ FAIL fires when price closes back through the swept level in the opposite direction Session Window Boost: NY and London open session windows are fully configurable — sweeps occurring in these periods receive an automatic score boost reflecting higher institutional participation probability Live Info Table: Top-right table shows current HTF bias direction, session status, volume z-score, and ATR at a glance without cluttering the main chart 4 Alert Conditions: Bull Sweep Detected, Bear Sweep Detected, High-Quality Bull Sweep, High-Quality Bear Sweep — all configurable with full message context including ticker, interval, and score 🎨 Visualization Sweep Bands: Teal boxes for bull sweeps (below swing lows), red boxes for bear sweeps (above swing highs) — width is ATR × 0.3, extending forward for the configured bar count HTF Bias Line: Thin EMA line at the higher-timeframe price level — teal when HTF is bullish, red when bearish — provides macro directional context without cluttering the overlay Quality Score Labels: ★N/5 displayed below/above the sweep bar in the band color — immediately readable quality assessment at the event bar Outcome Labels: ▶ CONT (teal), ↩ RECLAIM (orange), ✕ FAIL (red) — placed at the bar where the post-sweep condition resolves, offset from price to avoid overlap Sweep Signal Markers: Small triangles below (bull) and above (bear) the sweep bar — visible in the data window and usable as alert sources 📖 Usage Guidelines Sweep Detection Pivot Lookback Default: 10 | Range: 3–50 Bars left and right used for swing high/low confirmation. Higher values = fewer but more significant pivots. ATR Length Default: 14 | Range: 1–100 ATR period for wick size normalization and band width calculation. Min Sweep Size (ATR×) Default: 0.5 | Range: 0.1–5.0 Minimum wick extension beyond the pivot level, expressed as an ATR multiple. Increase to filter out smaller, less significant sweeps. Volume Z-Score Min Default: 1.0 | Range: 0.0–4.0 Minimum rolling volume z-score required to qualify a sweep. Set to 0 to disable volume filtering; increase to 1.5–2.0 for more selective confirmation. Max Active Zones Default: 20 | Range: 5–50 Maximum number of sweep zones displayed simultaneously. Older zones are automatically removed when the cap is reached. HTF Bias Enable HTF Bias Default: On Enables the higher-timeframe EMA calculation and bias line overlay. HTF Timeframe Default: 240 (4H) Timeframe used for the bias EMA. Select a timeframe at least 4× higher than your chart timeframe for meaningful macro context. HTF EMA Length Default: 50 | Range: 5–200 EMA length applied to the higher-timeframe close. Shorter values react faster but may produce more noise. Reaction Scoring Show Quality Score Default: On Displays the ★N/5 score label at each sweep bar. Min Score to Label Default: 3 | Range: 1–5 Only sweeps meeting or exceeding this score will generate CONT / RECLAIM / FAIL outcome labels. Set to 4–5 for highly selective labeling; set to 1–2 for broader coverage. Session Weighting Session Weighting Default: On Enables the session-context factor in the quality score. NY / London Open Windows Default: 09:30–11:00 / 03:00–05:00 (Exchange time) Configure to match your broker’s session hours or your preferred high-participation windows. Session Score Boost Default: 1 | Range: 0–2 Points added to the quality score when a sweep occurs within an active session window. ✅ Best Use Cases Identifying high-conviction sweep events during NY or London open as potential reversal or continuation setups Filtering out low-quality sweeps (★1–★2) from higher-quality displacement events (★4–★5) when making context decisions Confirming breakout or breakdown levels: a ▶ CONT label after a sweep in the HTF bias direction is a strong structural confirmation signal Trap identification: ✕ FAIL labels at bear sweeps above resistance during a bullish HTF bias flag probable bull traps Multi-timeframe confluence: use LSRG on the 1H or 4H with a 1D HTF bias to identify sweeps that align with daily structure ⚠️ Limitations LSRG is a context and confirmation layer — it is not designed or tested as a standalone entry system and should always be used alongside price action analysis The five-factor quality score is rule-based and does not adapt to regime shifts; high-volatility news events can produce inflated volume z-scores that temporarily override the filter Volume data quality varies significantly across exchanges and brokers — results on instruments with low or synthetic volume (e.g., some CFDs) will be degraded Pivot lookback creates an inherent delay equal to the lookback period — sweep detection fires at the close of the pivot confirmation bar, not in real-time as the wick forms HTF bias reflects EMA trend direction, not immediate momentum — it may lag during sharp reversals 💡 What Makes This Unique Quality scoring at sweep detection: No other public sweep tool evaluates five independent factors at the event bar and displays a composite score — this is the primary differentiator from liquidity level overlays Automated outcome classification: The CONT / RECLAIM / FAIL label system resolves post-sweep behavior automatically, giving traders a structured outcome framework without manual tracking Session-aware quality weighting: Sweep events during NY and London opens receive elevated scores reflecting historical institutional participation patterns — a rarely implemented but highly relevant context factor 🔬 How It Works 1. Pivot-based liquidity mapping: Swing highs and lows are confirmed using ta.pivothigh() and ta.pivotlow() with configurable left/right lookback. These represent the most recent confirmed liquidity pools above (swing highs) and below (swing lows) current price. All sweep measurements reference these confirmed levels. 2. Sweep detection and volume confirmation: A bull sweep fires when price wicks below the most recent swing low by at least the ATR minimum threshold and closes back above it in the same bar, with volume z-score meeting the configured minimum. The symmetric condition applies for bear sweeps above swing highs. This combination of price and volume criteria filters out low-participation wick extensions. 3. Five-factor quality scoring: At each confirmed sweep bar, five binary factors are evaluated independently: (1) volume z-score exceeds threshold + 0.5 for a strong spike, (2) wick size exceeds body size by at least 2× indicating a rejection candle, (3) close-back retracement is ≥ 0.5 ATR above/below the swept level, (4) HTF bias aligns with the sweep direction, (5) sweep occurs within an active session window. Each true factor adds one point to a 0–5 score (capped at 5 including any session boost). 4. Band drawing and zone management: Qualified sweep events generate an ATR-proportional box extending forward from the sweep bar for the configured number of bars. Boxes are tracked in an array capped at the Max Active Zones setting — oldest zones are automatically deleted when the cap is reached, preventing chart object accumulation. 5. Post-event classification: Each sweep above the minimum score threshold is registered as an open SweepEvent. After a configurable offset period, price behavior is evaluated each bar: continuation fires if price moves ≥1 ATR in the sweep direction past the swept level; reclaim fires on a clean close-back; failure fires when price closes through the level in the opposite direction. Events that remain unresolved for more than 50 bars are automatically expired. 💡 Note: LSRG measures the structural quality of liquidity sweep events. It does not predict price direction with certainty, and quality score thresholds should be calibrated to the instrument and timeframe being traded. All outcome labels are based on defined price conditions — they describe what happened structurally, not what will happen next. Use as one input in a broader analytical framework. All content provided by PhenLabs is for informational and educational purposes only. Past performance does not guarantee future results.
Indicador Pine Script®
por PhenLabs
Relative Strength Index Enhancedrend-Aligned Strategy (Best for Trends): Uptrend: Wait for the RSI to dip below 30 (oversold) and then cross back above, signaling a potential buying opportunity (buying the dip). Downtrend: Wait for the RSI to rise above 70 (overbought) and then fall back below, signaling a potential selling opportunity (selling the rally). RSI Divergence Strategy (Best for Reversals): Bullish Divergence: Price makes a lower low, but the RSI makes a higher low, suggesting fading downward momentum and a likely upward reversal. Bearish Divergence: Price makes a higher high, but the RSI makes a lower high, suggesting waning upward momentum and a likely downward reversal. Range Trading Strategy (Sideways Markets): When the asset is moving between clearly defined support and resistance, buy when the RSI dips below 30 and sells when it rises above 70.
Indicador Pine Script®
por lucraft1176
1
Arc VWAP Supertrend [BOSWaves]Arc VWAP Supertrend - Momentum-Adaptive Trend Engine with VWAP-Confirmed Structure Overview Arc VWAP Supertrend is a dynamic trend-following system built around a self-accelerating arc that continuously repositions relative to price, combined with a multi-period VWAP confirmation layer that filters directional flips against prevailing volume-weighted price context. Rather than applying a static band or fixed multiplier envelope around price, the arc responds to both structural momentum and the distance between price and VWAP. As price extends further from the volume-anchored reference, the arc accelerates its chase, producing tighter trend adherence during high-conviction moves and broader breathing room during consolidation. This creates an inherently adaptive system that scales its sensitivity to actual market behaviour rather than a fixed parameter. Trend flips are assessed against session, weekly, and monthly VWAP simultaneously. Each flip is classified as confirmed when VWAP agrees with the directional change, or filtered when VWAP context conflicts with the signal, giving traders immediate visibility into the structural quality of each transition without additional overlay indicators. Conceptual Framework Arc VWAP Supertrend is built on the premise that trend-following tools should respond proportionally to the conditions they are measuring. A trend system applying identical sensitivity during a low-volatility consolidation and a high-momentum breakout treats structurally different environments as equivalent, introducing unnecessary noise in one context and unacceptable lag in the other. The arc mechanism addresses this through velocity-based acceleration. When a new trend begins, the arc is placed at a measured ATR distance from price, establishing structural breathing room. From that anchor point it begins accelerating toward price at a rate that scales with VWAP distance, moving faster when price is extended and easing when price is contained near the volume-weighted mean. Three principles shape the design: Trend direction should be confirmed by the market's own volume-weighted price context rather than a pure momentum or volatility calculation alone. Arc sensitivity should increase when price behaviour warrants it and reduce when conditions are contained. Structural flip levels should be maintained as actionable reference points only while they remain unbroken, disappearing immediately upon invalidation rather than cluttering the chart with historical noise. Theoretical Foundation The indicator combines a velocity-accumulating arc engine, ATR-scaled positioning, multi-period VWAP construction, and a distance-normalised acceleration boost into a single cohesive system. Arc velocity accumulates from zero on each new flip, increasing each smoothing interval by the base acceleration rate scaled by VWAP distance normalisation. This means the arc moves slowly immediately after a flip, when trend conviction is unproven, and progressively faster as the trend matures and price distance from VWAP grows. A slow ATR, calculated across 100 bars, provides a stable volatility reference governing initial arc placement and step size, insulating the system from transient volatility spikes that would otherwise cause erratic repositioning. VWAP is computed independently across three anchor periods: session, week, and month, each resetting cleanly at its respective boundary. The configurable filter mode allows traders to define which period must agree with a flip, whether any single agreement suffices, or whether full alignment across all three is required before a flip qualifies as confirmed. This creates a spectrum of filtering strictness suited to different trading approaches and timeframe contexts. Four systems operate in coordination: Arc Engine : Manages velocity accumulation, step progression, and directional positioning. VWAP Layer : Handles multi-period construction, distance normalisation, and flip qualification. Flip Level System : Creates, extends, and instantly removes horizontal structural reference lines. Visualisation Layer : Renders a candle gradient, cloud fill, and directional markers calibrated to current trend state. How It Works Arc VWAP Supertrend processes each bar through a structured sequence of operations: Initialisation : Occurs once sufficient ATR history exists, placing the arc below price at a configurable ATR multiple and establishing the opening trend direction. Trend State Logic : Close relative to arc governs trend state each bar, with a close below flipping to bearish and a close above flipping to bullish. Flip Processing : On each flip, the arc repositions to the opposite side of price at the full starting distance, velocity resets to zero, and a flip level is drawn at the pivot extreme. Arc Acceleration : The arc begins accelerating toward price at a rate scaled by both the base acceleration input and the current VWAP distance factor, with smoothing applied across a configurable bar window to reduce noise without introducing meaningful structural lag. VWAP Assessment : Each flip is simultaneously assessed against the selected VWAP filter, classifying transitions as confirmed where VWAP agrees with the new direction, or filtered where VWAP context conflicts. Flip Level Management : Flip levels extend rightward bar by bar until price closes through them, at which point the line and its associated label are deleted immediately. Visualisation Update : A candle gradient reflects both trend direction and distance from the arc, with colour intensity increasing as price extends further from the arc surface. A cloud fill between arc and price provides continuous directional context across the full visible chart range. Interpretation Arc VWAP Supertrend should be read as a continuous directional framework with structural quality classification at each transition point: Arc Surface : Functions as dynamic support or resistance depending on trend direction. While price holds above the arc in a bullish trend, the arc traces an accelerating floor beneath the advance. In a bearish trend the arc descends as an accelerating ceiling above price. Candle Gradient : Communicates extension relative to the arc, with bright candles indicating price is well extended from the arc and faded candles indicating proximity and potential inflection. Confirmed Flips : Carry the weight of VWAP alignment, where price is not only crossing the arc but doing so from a position consistent with the volume-weighted price context. Filtered Flips : Warrant additional validation, as VWAP is positioned counter to the new direction. Acting on filtered signals without supplementary confirmation introduces structural risk that confirmed signals do not carry. Flip Levels : Mark the price at which each directional change originated. While intact they serve as reference boundaries for re-entry, stop placement, and structural assessment. Their immediate removal on breach keeps the chart unambiguous, with only levels of ongoing structural relevance remaining visible. Cloud Fill Width : Gives a continuous visual measure of how aggressively the arc is tracking the current trend. A narrow cloud indicates close arc proximity and elevated flip risk; a wide cloud reflects a well-developed, momentum-backed trend with the arc accelerating firmly behind price. Signal Logic & Visual Cues Arc VWAP Supertrend communicates through four concurrent visual systems: Arc Line : Traces the current trend boundary, smoothed across the configured window and suppressed at flip bars to avoid visual discontinuity. Cloud Fill : Grades from the trend colour at arc proximity to full saturation at price, with transparency rendering it unobtrusive during normal trend conditions. Candle Colouring : Applies a gradient from the current trend colour at low distance to full saturation at high distance, with distance normalised against three ATR units, producing a live visualisation of trend extension directly on the price bars. Flip Markers : A pair of layered triangles, one solid and one semi-transparent glow, positioned at a configurable ATR offset from the arc to ensure visibility above candle wicks. Flip Level Lines : Extend from the pivot price rightward until breach, each accompanied by a price label whose size is configurable independently of the line style. Four alert conditions cover bullish and bearish transitions in both confirmed and filtered states, enabling automated monitoring of trend changes classified by their VWAP context. Strategy Integration Arc VWAP Supertrend applies across trend-following, momentum, and structure-based methodologies: Trailing Reference : The arc surface provides a natural trailing stop. As velocity accumulates and the arc accelerates toward price, it functions as a progressively tightening dynamic stop that responds to the maturity of the move rather than a fixed lookback period. Tiered Signal Treatment : VWAP confirmation classification allows confirmed flips to trigger immediate action while filtered flips prompt a verification step, building a natural two-tier entry discipline directly into the indicator's output without additional tools. Pullback Re-entry : Flip levels provide structural anchors for re-entry on pullbacks. A price return toward an intact flip level during a confirmed trend offers a structurally referenced entry point with the arc serving as the invalidation boundary beyond the level. Position Sizing : The candle gradient supports exposure scaling and risk assessment. Entries taken when candles are faded, indicating close arc proximity, carry greater structural uncertainty than entries aligned with a well-extended, brightly coloured trend. Multi-Timeframe Application : Higher-timeframe arc direction establishes macro bias while lower-timeframe flip confirmation and VWAP filter classification provide entry precision. Confirmed flips on the lower timeframe aligned with higher-timeframe arc direction represent the highest-quality intersection of the system's outputs. Technical Implementation Details Core Engine : Velocity-accumulating arc with ATR-scaled initial placement, step progression, and VWAP distance acceleration boost VWAP Layer : Independent session, weekly, and monthly VWAP computed from rolling cumulative volume and price-volume, resetting at each period boundary Filter System : Configurable agreement mode across session, week, month, any, or all VWAP periods with separate confirmed and filtered flip classification Visualisation : Smoothed arc plot, gradient cloud fill, ATR-normalised candle gradient, layered flip markers, and auto-removing flip level lines with configurable style, width, transparency, and label sizing Alert Coverage : Bullish confirmed, bearish confirmed, bullish filtered, and bearish filtered flip events Optimal Application Parameters Timeframe Guidance: 1 - 15 min : Intraday trend tracking with session VWAP filter for same-day directional context 1H - 4H : Swing trend identification with weekly VWAP filter for multi-session structural alignment Daily - Weekly : Macro trend positioning with monthly VWAP filter for broad directional confirmation Suggested Baseline Configuration: Arc Speed : 0.12 Start Distance : 2.0x Smoothing : 3 VWAP Filter : Session VWAP Speed Boost : 1.5 Arrow Offset : 1.2x These parameters represent a balanced starting point. Instruments with faster characteristic swing cadence benefit from higher arc speed; slower, trend-persistent instruments suit lower values with a higher start distance to avoid premature flips during normal retracements. Parameter Calibration Notes Use the following adjustments to refine behaviour without altering the core logic: Arc flipping too frequently : Raise Start Distance to place the arc further from price on each new trend, requiring a larger adverse move before a flip triggers. Arc too slow to follow strong trends : Raise Arc Speed or VWAP Speed Boost to increase acceleration rate, particularly on instruments with fast-developing directional moves. Too many filtered signals : Switch VWAP filter to Any to require only single-period agreement, loosening the confirmation threshold without removing VWAP context entirely. Too many false confirmed signals : Switch to All to require full agreement across session, weekly, and monthly VWAP before a flip qualifies as confirmed. Arc visually noisy during consolidation : Raise Smoothing to increase arc averaging, reducing short-term noise at the cost of modest additional lag during transitions. Flip levels persisting beyond usefulness : Reduce Max Levels to limit the number of active structural references retained simultaneously, concentrating display on the most recent pivot history. Disclaimer Arc VWAP Supertrend is a professional-grade trend analysis tool. Directional signals, flip classifications, and arc behaviour reflect historical price and volume relationships and do not constitute assured future outcomes. Performance is dependent on market conditions, instrument characteristics, parameter selection, and disciplined application within a broader analytical framework incorporating risk management, timeframe context, and corroborating analysis. BOSWaves recommends treating this indicator as one component of a structured trading methodology rather than a standalone signal system.
Indicador Pine Script®
por BOSWaves
9
Smart Liquidity Framework [CLEVER]Overview of Smart Liquidity Framework The Smart Liquidity Framework (SLF) is a TradingView Pine Script v5 indicator designed for professional traders following Smart Money Concepts (SMC) and institutional market strategies. It provides a comprehensive toolkit for analyzing market structure, liquidity, and institutional footprints. The script focuses on non-repainting multi-timeframe analysis, ensuring that all structural signals, pivots, and zones are reliable for real-time trading decisions. It combines swing and internal pivots, liquidity detection, order block (OB) and fair value gap (FVG) identification, and premium/discount zones into a single cohesive framework. Market Structure & Swing Analysis SLF first identifies the overall market structure using swing pivots. It detects Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) to establish bullish or bearish trends. The indicator marks structural events such as Break of Structure (BOS) and Change of Character (CHoCH), providing clear visual cues on potential trend continuations or reversals. In addition to main swings, the script analyzes internal pivots to track micro-level market movements, generating internal BOS (iBOS) and internal CHoCH (iCHoCH) for more precise entry timing on smaller timeframes. Liquidity & Inducement Detection The framework incorporates advanced liquidity logic by detecting Equal Highs (EQH) and Equal Lows (EQL), which represent likely stop-loss clusters. It also identifies inducement (IDM) levels, signaling traps where price may be temporarily drawn before major directional moves. When price sweeps these levels and quickly reverses, the indicator highlights potential smart money activity, giving traders insight into institutional manipulations and probable entry zones. Institutional Zones: Order Blocks & Fair Value Gaps SLF dynamically detects Order Blocks (OB) and Fair Value Gaps (FVG) to highlight areas of institutional buying or selling interest and price inefficiencies. The indicator continuously monitors these zones, automatically mitigating or removing filled OBs and FVGs, ensuring only relevant zones remain visible. Traders can use these zones for high-probability entries, aligning their trades with institutional activity. Premium, Discount, and Equilibrium Zones The script calculates Premium, Discount, and Equilibrium (EQ) zones based on the current swing range. These zones help traders evaluate whether price is relatively expensive (Premium) or cheap (Discount), and the EQ line serves as a fair-value midpoint. Bar coloring and zone labeling further enhance clarity, helping traders align positions with favorable pricing conditions and institutional positioning. Institutional Footprints: Sweeps & Impulse Detection SLF identifies liquidity sweeps—candles that wick beyond previous highs/lows and reverse quickly—indicating potential stop-hunting events. It also detects impulse candles, defined by high volume and large range, marking probable institutional participation. Alerts and visual labels provide additional confirmation, allowing traders to react promptly without constant chart monitoring. Periodic Levels & Multi-Timeframe Support The indicator optionally plots daily and weekly highs/lows, providing context for broader market structure. It uses lookahead_off multi-timeframe calculations, ensuring non-repainting, reliable signals across different timeframes. This combination of periodic levels with structural, liquidity, and institutional zones creates a confluence-based approach, helping traders identify higher probability setups and optimize entry/exit decisions. ⚙️ How It Works The Smart Liquidity Framework (SLF) operates using a structured Smart Money Concepts (SMC) approach, where price action is analyzed through both swing and internal market structure. The script identifies key pivot highs and lows using configurable lookback lengths, allowing it to classify price movements into Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL). Based on this structure, the indicator determines the current market trend and dynamically updates it as new price data forms. To confirm structural shifts, the system detects Break of Structure (BOS) and Change of Character (CHoCH) events. A key feature is the optional displacement filter, which ensures that only strong candles (with significant body size relative to range) validate these breaks. This reduces noise and avoids weak or false signals. Additionally, the script runs an internal structure engine that tracks micro-level movements, generating iBOS and iCHoCH signals for early trend insights and refined entry timing. The framework also integrates Inducement (IDM) logic, which identifies potential trap levels where liquidity is likely to be taken before a major move. Once price sweeps these inducement levels, the system updates and marks them accordingly. Alongside this, liquidity concepts such as Equal Highs (EQH) and Equal Lows (EQL) are detected to highlight areas where stop orders are clustered. When price sweeps these zones and reverses, the script flags them as liquidity sweeps, signaling possible institutional activity. For price delivery analysis, the indicator automatically detects and plots Order Blocks (OB) and Fair Value Gaps (FVG). These zones represent areas of imbalance and institutional interest. The script continuously manages these zones by extending them forward and removing or adjusting them once they are mitigated (i.e., when price revisits them). This ensures the chart remains clean and only displays relevant, untested levels. The indicator further enhances analysis by calculating Premium, Discount, and Equilibrium zones based on the active price range. These zones help determine whether price is relatively expensive or cheap within the current structure. Additionally, institutional footprints such as high-volume impulse candles and volatility-based expansions are detected, highlighting areas where strong participation may be present. Periodic levels like previous daily and weekly highs/lows are also plotted using non-repainting MTF logic to provide higher timeframe context. 🎯 How It Is Used The Smart Liquidity Framework is typically used by first identifying the overall market trend through swing structure. Traders observe whether the market is forming HH/HL (bullish trend) or LH/LL (bearish trend). Once the directional bias is established, BOS signals are used to confirm continuation, while CHoCH signals act as early warnings of potential reversals. Internal structure signals (iBOS/iCHoCH) can be used on lower timeframes to fine-tune entries. After identifying the trend, traders focus on liquidity behavior. Price often moves toward Equal Highs or Equal Lows to trigger stop orders before reversing. These liquidity sweeps are key confirmations in SMC-based trading. When a sweep aligns with structure (e.g., after CHoCH or near an inducement level), it increases the probability of a valid trade setup. Trade entries are commonly taken from Order Blocks or Fair Value Gaps after a liquidity event or structural confirmation. In a bullish market, traders look for buying opportunities from bullish OBs or FVGs, while in a bearish market, they focus on selling from bearish zones. The mitigation logic helps ensure that only fresh, untested zones are considered for entries, improving accuracy. Premium and Discount zones are used to optimize trade positioning. Traders generally prefer buying in the discount zone during an uptrend and selling in the premium zone during a downtrend. This ensures trades are aligned with favorable pricing rather than entering in the middle of the range, where risk-to-reward is less optimal. Additional confirmation is provided by impulse candles and alerts. Strong candles with high volume and range indicate potential institutional activity and can validate breakouts or reversals. Liquidity sweep labels, BOS/CHoCH signals, and zone interactions together create a confluence-based approach, allowing traders to make more informed and structured decisions without relying on a single signal. Overall, the framework is most effective when multiple elements—structure, liquidity, zones, and momentum—are combined. This multi-layered confirmation approach helps filter low-quality setups and improves consistency in trading decisions while maintaining a non-repainting, rules-based methodology. 1. Multi-Timeframe (MTF) Settings Indicator Timeframe (tf_input): Select the timeframe from which the indicator calculates market structure, order blocks, and liquidity zones. Example: Choosing 1H on a 5-minute chart allows higher-timeframe structure analysis without switching charts. Purpose: Shows bigger-picture trend context for more accurate entries. 2. Swing & Market Structure Settings Swing Length (swing_len): Defines the number of bars used to identify pivot highs and lows. Higher values → smoother swings, fewer false signals. Lower values → more sensitive to minor price moves. Show BOS/CHoCH Labels (show_bos, show_ch): Toggles labels for Break of Structure (BOS) and Change of Character (CHoCH). BOS indicates trend continuation, CHoCH signals potential reversals. Internal Pivots (internal_swing_len): Detects micro-level swings inside main structure for precise entries. 3. Liquidity & Inducement Settings Equal High/Low Sensitivity (eq_sensitivity): Determines how close highs or lows must be to count as liquidity clusters. Inducement Detection (idm_toggle): Enables or disables the detection of inducement zones, which are traps where price lures retail traders before reversing. Sweep Detection (sweep_length): Sets the minimum wick length to consider a stop-loss sweep valid. 4. Institutional Zones Settings Order Block (OB) Detection (ob_len): Number of bars used to define valid bullish/bearish order blocks. Fair Value Gap (FVG) Detection (fvg_len): Determines the minimum gap size to mark a FVG. OB/FVG Auto Cleanup (auto_clear): Toggles automatic removal of filled or broken OB/FVG zones for a cleaner chart. 5. Premium, Discount, & Equilibrium Zones Enable Premium/Discount Zones (show_premium_discount): Plots colored zones showing price extremes relative to swing range. Equilibrium Line (show_eq): Displays the midpoint of current swing for fair-value assessment. Color Customization: Traders can set distinct colors for premium (expensive) and discount (cheap) zones. 6. Candle Impulse & Sweep Settings Impulse Candle Detection (impulse_range): Minimum bar size to consider a candle as an institutional impulse. Liquidity Sweep Alerts (alert_sweep): Enables alerts when a sweep occurs, signaling potential smart money moves. Wick Percentage (wick_pct): Sets the wick length relative to candle body to qualify as a sweep. 7. Periodic & Multi-Timeframe Levels Daily/Weekly High-Low (show_daily, show_weekly): Toggles plotting of daily and weekly structure levels. MTF Lookahead (lookahead_off): Ensures non-repainting behavior when calculating higher-timeframe levels on a lower-timeframe chart. 8. Visual & Label Settings Show Labels (show_labels): Toggles pivot, BOS, CHoCH, OB, and FVG labels for clarity. Line Thickness (line_thick): Adjusts zone and level line thickness for better visualization. Color Settings (color_scheme): Customize colors for bullish/bearish swings, zones, and labels. ✅ Summary: Each setting allows traders to fine-tune sensitivity, visualization, and timeframe context. By combining MTF structure, liquidity, OB/FVG zones, and premium/discount zones, SLF provides a complete institutional trading toolkit that can be adjusted for scalping, intraday, or swing trading. 1. Color & Visual Customization SLF allows full control over the visual appearance of your chart. Traders can set distinct colors for bullish and bearish swings, order blocks, fair value gaps (FVGs), premium/discount zones, and equilibrium lines. This makes it easier to visually differentiate between trend directions, institutional zones, and price extremes. Additionally, line thickness, opacity, and label font sizes can be adjusted, ensuring that your chart is both clear and aesthetically pleasing according to personal preferences. 2. Label & Zone Display Options You can customize which elements appear on your chart to avoid clutter. For example, labels for Break of Structure (BOS), Change of Character (CHoCH), and swing pivots can be toggled on or off. Similarly, OBs and FVGs can be displayed selectively, and traders can choose whether premium/discount zones or equilibrium lines are visible. This flexibility allows a minimalist view for quick trades or a full analytical view for deeper market study. 3. Sensitivity & Detection Customization SLF provides sensitivity controls for almost all detection mechanisms. You can adjust parameters like swing length, wick percentage, equal high/low tolerance, and impulse candle size. This lets you tune the indicator’s responsiveness: higher sensitivity catches micro-moves, while lower sensitivity focuses on more significant market structure shifts. Traders can also enable or disable inducement and liquidity sweep detection based on their trading style. 4. Timeframe & Multi-Timeframe (MTF) Settings Customizing the timeframe is crucial in SLF. You can select a different indicator timeframe than your chart timeframe, allowing higher-timeframe analysis on lower-timeframe charts. Daily, weekly, or even monthly structure levels can be displayed or hidden depending on your strategy. This ensures the indicator adapts to scalping, intraday, or swing trading needs. 5. Auto-Cleanup & Efficiency Options SLF also allows automation of chart management through options like auto-clear for filled or broken zones. This keeps charts uncluttered and focuses only on active levels. Combined with selective label display and color settings, this customization makes SLF a highly personalized, professional-grade tool suitable for traders who value clarity and efficiency. Conclusion The Smart Liquidity Framework is a complete institutional market structure toolkit, combining swing and internal pivots, liquidity detection, OB/FVG zones, premium/discount levels, and institutional footprints. By integrating multiple layers of analysis in a non-repainting, real-time format, it empowers traders to align with smart money behavior, improve entry timing, and make more informed trading decisions based on institutional-grade market insights. Disclaimer: The Smart Liquidity Framework (SLF) is designed for educational and analytical purposes only. It provides market structure insights, institutional footprints, order blocks, and liquidity zones based on historical and real-time price action. It does not provide financial advice or guaranteed trade signals. Trading financial markets involves substantial risk, including the potential loss of capital. Users should perform their own analysis and risk management before making any trading decisions. By using this indicator, you acknowledge that the developer and publisher are not responsible for any trading losses or damages resulting from its use.
Indicador Pine Script®
por TheCleverTraders
Gold Alpha: Institutional HybridTo allow multiple signals (pyramiding) during a long trend without creating visual clutter or fake-outs, we need to adjust the State Machine in the script. Instead of locking the script completely after one signal, we will allow it to fire again in the same direction IF the price makes a fresh breakout (dips below the volatility band and crosses back over it) AND a minimum "cooldown" period has passed since the last signal. When the Take Profit (TP) condition is finally met, it will close out the entire "basket" of signals for that trend and reset. Here is the updated Multi-Entry (Pyramid) version of the Institutional Hybrid: How this achieves the goal: The Pyramiding Logic: The script tracks the overall trade_dir (Long Cycle vs Short Cycle). If you are in a Long Cycle and a new valid crossover happens, it prints another "BUY" label. The "Cooldown" Filter: To prevent the script from painting 3 BUY bubbles in a row during a volatile spike, I added an 8-candle cooldown. It will only scale in if the new entry setup happens at least 8 candles after the previous one. You can adjust this in the settings. The "Basket" Take Profit: If you have 3 BUY signals in a row, the minBars counter resets on the latest entry. When the trend finally exhausts itself (hits the reversal candle in profit), it prints a single × TP label and resets the entire system back to Neutral, capturing the whole trend sequence
Indicador Pine Script®
por ARX_84
Advance Camarilla Pivots -NMAdvance Camarilla Pivots - NM (Multi-Level Dashboard)The Advance Camarilla Pivots - NM is a high-precision trading tool designed for intraday and swing traders who rely on price action and institutional reversal zones. Unlike standard pivot indicators that only offer 4 or 5 levels, this script provides an expanded view of the market structure with up to 10 levels of Resistance and Support, all organized in a clean, customizable dashboard.Why Camarilla Pivots?Camarilla levels are known for their ability to pinpoint high-probability reversal points ($S3/R3$) and breakout zones ($S4/R4$). This indicator expands on that math to provide "Extreme" targets ($R5-R10$), which are invaluable during high-volatility trend days. Key FeaturesExtended Range: Tracks up to 10 levels of Resistance and Support for extreme market moves. Dynamic Dashboard: A sleek, real-time table displays levels without cluttering your price action. Choose between Vertical or Horizontal layouts.Sub-Level Discovery: Toggle "Sub-Levels" to see the mid-points (averages) between major Camarilla zones—perfect for fine-tuning exits or stop-loss placement. Smart Timeframe Switching: The "Auto" anchor automatically selects the most relevant pivot period (Daily, Weekly, or Monthly) based on your current chart interval. Fully Customizable: Toggle individual levels on/off, adjust font sizes, and change colors to match your dark or light mode theme. How to UseMean Reversion: Look for reversals between $S3$ and $R3$.Breakouts: Watch for price to break and hold above $R4$ or below $S4$ for strong trending moves.Trend Targets: Use $R5$ through $R10$ as profit-taking targets during parabolic moves.
Indicador Pine Script®
por NitMan279
1