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Auto Fibonacci RetraceNOTE: This script is for educational purposes only. This Pine Script v6 indicator automates the drawing of Fibonacci retracement levels on a TradingView chart based on detected pivot highs and lows. It's designed to identify the most recent swing points in a price trend and plot horizontal lines at standard Fibonacci ratios (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%), along with optional labels for each level. The script is useful for traders who want dynamic, hands-free Fib retracements that update as new pivots form, helping to spot potential support/resistance zones without manual intervention. Key Features Automatic Pivot Detection: Uses TradingView's built-in ta.pivothigh and ta.pivotlow functions to find recent swing highs and lows. The sensitivity is adjustable via user inputs for "Left Bars" and "Right Bars" (default: 5 each), which define how many bars are checked on either side to confirm a pivot. Trend Direction Awareness: Determines if the current swing is an uptrend (recent high after low) or downtrend (recent low after high) and orients the Fib levels accordingly—starting from the low in uptrends or high in downtrends. Dynamic Drawing: Plots dashed horizontal lines extending to the right of the chart for each Fib level. Colors are predefined for visual distinction (e.g., blue for 23.6%, orange for 61.8%). Lines and labels are cleared and redrawn only when a new pivot is detected or on initial load to prevent chart clutter. Customizable Labels: Optional labels show the percentage (e.g., "61.8%") and can be positioned on the "Left" (at the swing start) or "Right" (pinned to the current bar, updating dynamically). Labels use semi-transparent backgrounds for readability. Performance Optimizations: Uses arrays to manage lines and labels efficiently, with reverse-indexed loops for safe deletion. The max_bars_back=500 ensures it handles historical data without excessive computation. User Inputs: Left/Right Bars: Tune pivot detection (higher values for major trends, lower for shorter swings). Show Fib Levels/Labels: Toggle visibility. Label Position: "Left" or "Right" for placement flexibility. Usage Instructions Adding to Chart: Copy-paste into TradingView's Pine Editor, save as a new indicator, and add it to your chart via the "Indicators" menu. Customization: Adjust inputs in the indicator settings panel. For example, set Left/Right Bars to 10 for daily charts in strong trends. Best Practices: Use on trending markets (e.g., stocks, forex, crypto like BTC/USD); avoid choppy sideways action. Combine with other indicators (e.g., RSI for overbought/oversold confirmation) for better trade signals. Test on historical data—zoom out to see how it redraws on past swings. Limitations: Relies on pivot functions, so it may lag slightly (pivots confirm after "Right Bars"). Not a trading strategy—use for analysis only. No alerts built-in, but you can add alertcondition if extending it. Potential Enhancements: Add extensions (e.g., 161.8%), user-defined levels, or alerts on price touches via simple modifications. This script provides a clean, efficient way to visualize Fib retracements automatically, saving time compared to manual drawing. If you need further tweaks or integration into a full strategy, let me know!
Pine Script® indicator
by wonderfulRiceafb80
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion . Core Architecture Why These Components Are Combined: The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention. The Four Trading Agents 1. Spoofing Detector Agent 🎭 Detects iceberg orders through persistent volume at similar price levels over 5 bars Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8× average) Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model) Signal Logic: Contrarian—fades false breakouts caused by institutional manipulation Best Markets: Consolidations, institutional trading windows, low-liquidity hours 2. Exhaustion Detector Agent ⚡ Calculates RSI divergence between price movement and momentum indicator over 5-bar window Detects VWAP exhaustion (price at 2σ bands with declining volume) Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure Signal Logic: Counter-trend—enters when momentum extreme shows weakness Best Markets: Trending markets reaching climax points, over-extended moves 3. Liquidity Void Detector Agent 💧 Measures Bollinger Band squeeze (width <60% of 50-period average) Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike Detects hidden liquidity absorption (volume >2× average with range <0.3× ATR) Signal Logic: Breakout anticipation—enters after liquidity grab but before main move Best Markets: Range-bound pre-breakout, volatility compression zones 4. Mean Reversion Agent 📊 Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ±2σ) Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model) Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability) Signal Logic: Statistical reversion—enters when price deviates significantly from statistical equilibrium Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments Adaptive Selection: Multi-Armed Bandit System The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance: Thompson Sampling (Default - Recommended): Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent) Balances exploration (trying underused agents) vs. exploitation (using proven winners) Each agent's win/loss history informs its selection probability Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation UCB1 (Upper Confidence Bound): Calculates confidence intervals using: average_reward + sqrt(2 × ln(total_pulls) / agent_pulls) Deterministic algorithm favoring agents with high uncertainty (potential upside) More conservative than Thompson Sampling Epsilon-Greedy: Exploits best-performing agent (1-ε)% of the time Explores randomly ε% of the time (default 10%, configurable 1-50%) Simple, transparent, easily tuned via epsilon parameter Gradient Bandit: Uses softmax probability distribution over agent preference weights Updates weights via gradient ascent based on rewards Best for Blend mode where all agents contribute Selection Modes: Switch Mode: Uses only the selected agent's signal (clean, decisive) Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified) Lock Agent Feature: Optional manual override to force one specific agent Useful after identifying which agent dominates your specific instrument Only applies in Switch mode Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion Memory System Dual-Layer Architecture: Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50) Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars) Memory Boost Mechanism: Recent performance modulates agent scores by up to ±20% Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds) How Memory Works: Agent generates signal → outcome tracked after 8 bars (performance horizon) Result stored in short-term memory (win = 1.0, loss = 0.0) Short-term average influences agent's future scores (positive feedback loop) After threshold met (default 10 results), episode averaged into long-term storage Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost Market Microstructure Analysis These advanced metrics quantify institutional order flow dynamics: Order Flow Toxicity (Simplified VPIN): Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol) Detects informed trading activity (institutional players with non-public information) Values >0.4 indicate "toxic flow" (informed traders active) Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification Price Impact Analysis (Simplified Kyle's Lambda): Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10) Low values = large orders with minimal price impact ( stealth accumulation ) High values = retail-dominated moves with high slippage Lite Approximation: Uses simplified denominator instead of regression-based signed order flow Market Randomness (Entropy Analysis): Counts unique price changes over 20 bars / 20 Measures market predictability High entropy (>0.6) = human-driven, chaotic price action Low entropy (<0.25) = algorithmic trading dominance (predictable patterns) Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -Σ p(x)·log₂(p(x)) Order Clustering (Simplified Hawkes Process): Tracks self-exciting event intensity (coordinated order activity) Decays at 0.9× per bar, spikes +1.0 when volume >1.5× average High intensity (>0.7) indicates clustering (potential spoofing/accumulation) Lite Approximation: Simple exponential decay instead of full λ(t) = μ + Σ α·exp(-β(t-tᵢ)) with MLE Signal Generation Process Multi-Stage Validation: Stage 1: Agent Scoring Each agent calculates internal score based on its detection criteria Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier) Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0) Stage 2: Memory Boost Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance) Successful agents get amplified, failing agents get dampened Stage 3: Bandit Selection/Blending If Adaptive Mode ON: Switch: Bandit selects single best agent, uses only its signal Blend: All agents combined using softmax-weighted confidence scores If Adaptive Mode OFF: Traditional consensus voting with confidence-squared weighting Signal fires when consensus exceeds threshold (default 70%) Stage 4: Confirmation Filter Raw signal must repeat for consecutive bars (default 3, configurable 2-4) Minimum confidence threshold: 0.25 (25%) enforced regardless of mode Trend alignment check: Long signals require trend_score ≥ -2, Short signals require trend_score ≤ 2 Stage 5: Cooldown Enforcement Minimum bars between signals (default 10, configurable 5-15) Prevents over-trading during choppy conditions Stage 6: Performance Tracking After 8 bars (performance horizon), signal outcome evaluated Win = price moved in signal direction, Loss = price moved against Results fed back into memory and bandit statistics Trading Modes (Presets) Pre-configured parameter sets: Conservative: 85% consensus, 4 confirmations, 15-bar cooldown Expected: 60-70% win rate, 3-8 signals/week Best for: Swing trading, capital preservation, beginners Balanced: 70% consensus, 3 confirmations, 10-bar cooldown Expected: 55-65% win rate, 8-15 signals/week Best for: Day trading, most traders, general use Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown Expected: 50-58% win rate, 15-30 signals/week Best for: Scalping, high-frequency trading, active management Elite: 75% consensus, 3 confirmations, 12-bar cooldown Expected: 58-68% win rate, 5-12 signals/week Best for: Selective trading, high-conviction setups Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown Expected: Varies based on learning Best for: Experienced users leveraging bandit system How to Use 1. Initial Setup (5 Minutes): Select Trading Mode matching your style (start with Balanced) Enable Adaptive Learning (recommended for automatic agent selection) Choose Thompson Sampling algorithm (best all-around performance) Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume) 2. Agent Tuning (Optional): Adjust Agent Sensitivity multipliers (0.5-2.0): <0.8 = Highly selective (fewer signals, higher quality) 0.9-1.2 = Balanced (recommended starting point) 1.3 = Aggressive (more signals, lower individual quality) Monitor dashboard for 20-30 signals to identify dominant agent If one agent consistently outperforms, consider using Lock Agent feature 3. Bandit Configuration (Advanced): Blend Temperature (0.1-2.0): 0.3 = Sharp decisions (best agent dominates) 0.5 = Balanced (default) 1.0+ = Smooth (equal weighting, democratic) Memory Decay (0.8-0.99): 0.90 = Fast adaptation (volatile markets) 0.95 = Balanced (most instruments) 0.97+ = Long memory (stable trends) 4. Signal Interpretation: Green triangle (▲): Long signal confirmed Red triangle (▼): Short signal confirmed Dashboard shows: Active agent (highlighted row with ► marker) Win rate per agent (green >60%, yellow 40-60%, red <40%) Confidence bars (█████ = maximum confidence) Memory size (short-term buffer count) Colored zones display: Entry level (current close) Stop-loss (1.5× ATR) Take-profit 1 (2.0× ATR) Take-profit 2 (3.5× ATR) 5. Risk Management: Never risk >1-2% per signal (use ATR-based stops) Signals are entry triggers, not complete strategies Combine with your own market context analysis Consider fundamental catalysts and news events Use "Confirming" status to prepare entries (not to enter early) 6. Memory Persistence (Optional): After 50-100 trades, check Memory Export Panel Record displayed alpha/beta/weight values for each agent Record VPIN and Kyle threshold values Enable "Restore From Memory" and input saved values to continue learning Useful when switching timeframes or restarting indicator Visual Components On-Chart Elements: Spectral Layers: EMA8 ± 0.5 ATR bands (dynamic support/resistance, colored by trend) Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers) Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence × ATR) Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal) Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets Signal Markers: Triangle up/down at validated entry points Dashboard (Configurable Position & Size): Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear) Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus) Agent Performance Table: Real-time win%, confidence, and memory stats Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled) Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress Memory Panel (Configurable Position & Size): Live Parameter Export: Alpha, beta, and weight values per agent Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold Save Reminder: Visual indicator if parameters should be recorded What Makes This Original This script's originality lies in three key innovations: 1. Genuine Meta-Learning Framework: Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimization—it's real-time learning. 2. Episodic Memory Architecture with Transfer Learning: The dual-layer memory system mimics human learning patterns: Short-term memory captures recent performance (recency bias) Long-term memory preserves historical patterns (experience) Automatic transfer mechanism consolidates knowledge Memory boost creates positive feedback loops (successful strategies become stronger) This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates. 3. Institutional Microstructure Integration: Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis. Mashup Justification: The four agents are combined specifically for risk diversification across failure modes: Spoofing Detector: Prevents false breakout losses from manipulation Exhaustion Detector: Prevents chasing extended trends into reversals Liquidity Void: Exploits volatility compression (different regime than trending) Mean Reversion: Provides mathematical anchoring when patterns fail The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals. Why "ML-lite"? Simplifications and Approximations This is the "lite" version due to necessary simplifications for Pine Script execution: 1. Simplified VPIN Calculation: Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume) Impact: May misclassify volume during ranging/choppy markets; works best in directional moves 2. Pseudo-Random Sampling: Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close × 100 - floor(close × 100)) + (volume % 100) / 100 Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection 3. Hawkes Process Approximation: Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: λ(t) = μ + Σ α·exp(-β(t-tᵢ)) fitted via iterative optimization This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event) Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments 4. Kyle's Lambda Simplification: Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: Δp = λ × Δv + ε This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals 5. Entropy Calculation: Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -Σ p(x)·log₂(p(x)) where p(x) is probability of each price change magnitude This Implementation: Simple ratio of unique price changes to total observations (variety measure) Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape 6. Memory System Constraints: Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking 7. Limited Feature Engineering: Advanced Implementation: Dozens of engineered features, polynomial interactions (x², x³), dimensionality reduction (PCA, autoencoders), feature selection algorithms This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations 8. Single-Instrument Data: Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes This Implementation: Only OHLCV data from displayed instrument Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets 9. Fixed Performance Horizon: Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement This Implementation: Fixed 8-bar evaluation window Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach Performance Impact Summary: These simplifications make the script: ✅ Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations ✅ More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers ✅ More Transparent: All calculations visible in Pine Script (no black-box compiled models) ✅ Lower Resource Usage: <500 bars lookback, minimal memory footprint ⚠️ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations ⚠️ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows ⚠️ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized When to Upgrade to Full Implementation: Consider professional Python/C++ versions with institutional data feeds if: Trading with >$100K capital where precision differences materially impact returns Operating in microsecond-competitive environments (HFT, market making) Requiring regulatory-grade audit trails and reproducibility Backtesting with tick-level precision for strategy validation Need true real-time adaptation with neural network-based learning For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logic—multi-agent detection with adaptive selection—remains intact. Technical Notes All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap ) VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above) Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling No repainting: All calculations use confirmed bar data (no forward-looking) Maximum lookback: 500 bars (set via max_bars_back parameter) Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed) Confidence threshold: Minimum 0.25 (25%) enforced on all signals Memory arrays: Dynamic sizing with FIFO queue management Limitations and Disclaimers Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty. Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context. Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms. Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts. Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets. No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss. Forward-Looking Bias: Performance evaluation uses 8-bar forward window—this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics. Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes. Recommended Settings Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning) Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices) Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable) Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens) Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0) After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent Alert Configuration The script includes built-in alert conditions: Long Signal: Fires when validated long entry confirmed Short Signal: Fires when validated short entry confirmed Alerts fire once per bar (after confirmation requirements met) Set alert to "Once Per Bar Close" for reliability Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Pine Script® indicator
by DskyzInvestments
9
Aquantprice: Institutional Structure MatrixSETUP GUIDE Open TradingView Go to Indicators Search: Aquantprice: Institutional Structure Matrix Click Add to Chart Customize: Min Buy = 10, Min Sell = 7 Show only PP, R1, S1, TC, BC Set Decimals = 5 (Forex) or 8 (Crypto) USE CASES & TRADING STRATEGIES 1. CPR Confluence Trading (Most Popular) Rule: Enter when ≥3 timeframes show Buy ≥10/15 or Sell ≥7/13 text Example: Daily: 12/15 Buy Weekly: 11/15 Buy Monthly: 10/15 Buy → **STRONG LONG BIAS** Enter on pullback to nearest **S1 or L3** 2. Hot Zone Scalping (Forex & Indices) Rule: Trade only when price is in Hot Zone (closest 2 levels) text Hot: S1-PP → Expect bounce or breakout Action: - Buy at S1 if Buy Count ↑ - Sell at PP if Sell Count ↑ 3. Institutional Reversal Setup Rule: Price at H3/L3 + Reversal Condition text Scenario: Price touches **Monthly L3** L3 in **Hot Zone** Buy Count = 13/15 → **High-Probability Reversal Long** 4. CPR Width Filter (Avoid Choppy Markets) Rule: Trade only if CPR Label = "Strong Trend" text CPR Size < 0.25 → Trending CPR Size > 0.75 → Sideways (Avoid) 5. Multi-Timeframe Bias Dashboard Use "Buy" and "Sell" columns as a sentiment meter TimeframeBuySellBiasDaily123BullishWeekly89BearishMonthly112Bullish → Wait for alignment before entering HOW TO READ THE TABLE Column Meaning Time frame D, W, M, 3M, 6M, 12MOpen Price Current session open PP, TC, BC, etc. Pivot levels (color-coded if in Hot Zone) Buy X/15 conditions met (≥10 = Strong Buy)Sell X/13 conditions met (≥7 = Strong Sell)CPR Size Histogram + Label (Trend vs Range)Zone Hot: PP-S1, Med: S2-L3, etc. + PP Distance PRO TIPS Best on 5M–1H charts for entries Use with volume or order flow for confirmation Set alerts on Buy ≥12/15 or Sell ≥10/13 Hide unused levels to reduce clutter Combine with AQuantPrice Dashboard (Small TF) for full system IDEAL MARKETS Forex (EURUSD, GBPUSD, USDJPY) Indices (NAS100, SPX500, DAX) Crypto (BTC, ETH – use 6–8 decimals) Commodities (Gold, Oil) 🚀 **NEW INDICATOR ALERT** **Aquantprice: Institutional Structure Matrix** The **ALL-IN-ONE CPR Dashboard** used by smart money traders. ✅ **6 Timeframes in 1 Table** (Daily → Yearly) ✅ **15 Buy + 13 Sell Conditions** (Institutional Logic) ✅ **Hot Zones, CPR Width, PP Distance** ✅ **Fully Customizable – Show/Hide Any Level** ✅ **Real-Time Zone Detection** (Hot, Med, Low) ✅ **Precision up to 8 Decimals** **No more switching charts. No more confusion.** See **where institutions are positioned** — instantly. 👉 **Add to Chart Now**: Search **"Aquantprice: Institutional Structure Matrix"** 🔥 **Free Access | Pro-Level Insights** *By AQuant – Trusted by 10,000+ Traders* #CPR #PivotTrading #SmartMoney #TradingView FINAL TAGLINE "See What Institutions See — Before They Move." Aquantprice: Institutional Structure Matrix Your Edge. One Dashboard.
Pine Script® indicator
by Nmn0708
EMA Cross + RSI + ADX - Autotrade Strategy V2Overview A versatile trend-following strategy combining EMA 9/21 crossovers with RSI momentum filtering and optional ADX trend strength confirmation. Designed for both cryptocurrency and traditional futures/options markets with built-in stop loss management and automated position reversals. Key Features Multi-Market Compatibility: Works on both crypto futures (Bitcoin, Ethereum) and traditional markets (NIFTY, Bank NIFTY, S&P 500 futures, equity options) Triple Confirmation System: EMA crossover + RSI filter + ADX strength (optional) Automated Risk Management: 2% stop loss with wick-touch detection Position Auto-Reversal: Opposite signals automatically close and reverse positions Webhook Ready: Six distinct alert messages for automation (Entry Buy/Sell, Close Long/Short, SL Hit Long/Short) Performance Metrics NIFTY Futures (15min): 50%+ win rate with ADX filter OFF Crypto Markets: Requires extensive backtesting before live deployment Optimal Timeframes: 15-minute to 1-hour charts (patience required for higher timeframes) Strategy Logic Entry Signals: LONG: EMA 9 crosses above EMA 21 + RSI > 55 + ADX > 20 (if enabled) SHORT: EMA 9 crosses below EMA 21 + RSI < 45 + ADX > 20 (if enabled) Exit Signals: Opposite EMA crossover (auto-closes current position) Stop loss hit at 2% from entry price (tracks candle wicks) Technical Indicators: Fast EMA: 9-period (short-term trend) Slow EMA: 21-period (primary trend) RSI: 14-period with 55/45 thresholds (momentum confirmation) ADX: 14-period with 20 threshold (trend strength filter - optional) Market-Specific Settings Traditional Markets (NIFTY, Bank NIFTY, S&P Futures, Options) Recommended Settings: ADX Filter: Turn OFF (less choppy, cleaner trends) Timeframe: 15-minute chart Win Rate: 50%+ on NIFTY Futures Why No ADX: Traditional markets have more institutional participation and smoother price action, making ADX unnecessary Cryptocurrency Markets (BTC, ETH, Altcoins) Recommended Settings: ADX Filter: Turn ON (ADX > 20) Timeframe: 15-minute to 1-hour Extensive backtesting required before live trading Why ADX: Crypto markets are highly volatile and prone to false breakouts; ADX filters low-quality chop Best Practices ✅ Backtest thoroughly on your specific instrument and timeframe ✅ Use larger timeframes (1H, 4H) for higher quality signals and better risk/reward ✅ Adjust RSI thresholds based on market volatility (try 52/48 for more signals, 60/40 for fewer but stronger) ✅ Monitor ADX effectiveness - disable for traditional markets, enable for crypto ✅ Proper position sizing - adjust default_qty_value based on your capital and instrument price ✅ Paper trade first - test for 2-4 weeks before risking real capital Risk Management Fixed 2% stop loss per trade (adjustable) Stop loss tracks candle wicks for accurate execution Positions auto-reverse on opposite signals (no manual intervention needed) 0.075% commission built into backtest (adjust for your broker) Customization Options All parameters are adjustable via inputs: EMA periods (default: 9/21) RSI length and thresholds (default: 14-period, 55/45 levels) ADX length and threshold (default: 14-period, 20 threshold) Stop loss percentage (default: 2%) Webhook Automation This strategy includes six distinct alert messages for automated trading: "Entry Buy" - Long position opened "Entry Sell" - Short position opened "Close Long" - Long position closed on opposite crossover "Close Short" - Short position closed on opposite crossover "SL Hit Long" - Long stop loss triggered "SL Hit Short" - Short stop loss triggered Compatible with Delta Exchange, Binance Futures, 3Commas, Alertatron, and other webhook platforms. Important Notes ⚠️ Crypto markets require extensive backtesting - volatility patterns differ significantly from traditional markets ⚠️ Higher timeframes = better results - 15min works but 1H/4H provide cleaner signals ⚠️ ADX toggle is critical - OFF for traditional markets, ON for crypto ⚠️ Not financial advice - always conduct your own research and use proper risk management ⚠️ Past performance ≠ future results - backtest results may not reflect live trading conditions Disclaimer This strategy is for educational and informational purposes only. Trading futures and options involves substantial risk of loss. Always backtest thoroughly, start with paper trading, and never risk more than you can afford to lose. The author assumes no responsibility for any trading losses incurred using this strategy.
Pine Script® strategy
by varuns_back
4
Rage of UltronRage of Ultron - Multi-Timeframe Smart Money Trading System Advanced Confluence-Based Trading Indicator Rage of Ultron is a comprehensive multi-timeframe trading system that combines Smart Money Concepts (SMC) with macro market context, RSI divergences, liquidity sweeps, and volume analysis to identify high-probability setups across all markets. Key Features Multi-Timeframe Alignment * Weekly Bias - Directional trend context * Daily Structure - Order Blocks and Fair Value Gaps * 4H Confirmation - Entry timing and execution * Real-time MTF alignment scoring (🟢 Bull Aligned / 🔴 Bear Aligned / 🟡 Mixed) Smart Money Concepts * Order Blocks (OB) - Institutional entry zones with visual clarity * Fair Value Gaps (FVG) - Price imbalances and retracement magnets * Change of Character (CHoCH) - Market structure breaks (▲▼) * Liquidity Sweeps - Stop hunt detection before reversals (💧) Technical Analysis * RSI Divergences - Regular and hidden divergences with zones (◆) * RSI Swing Failure Patterns - Grade-A reversal setups (★) * Automatic Fibonacci - Dynamic retracements and extensions * Volume Impulse Detection - Weighted confirmation signals Macro Market Radar * DXY - Dollar strength assessment * BTC Dominance - Crypto market risk gauge * USDT Dominance - Stablecoin flow analysis * Combined risk environment scoring Confluence Scoring System (0-7) Quantified setup quality with three alert tiers: * Tier 1 (Score 6-7): Full confluence + sweep + volume + MTF alignment * Tier 2 (Score 5): High confluence + volume or sweep * Tier 3 (Score 4): Standard confluence setups "Rage" Volume State * 🟢 RAGE PULSE - Explosive volume spike (score 6+ trigger) * ⚡ Active - Strong volume with good confluence * 🟡 Stable - Moderate volume conditions * 🔴 Dormant - Low volume, wait for confirmation Visual Design * Clean Zone Rendering - Persistent OB/FVG boxes with limited extension * Signal Bar Highlighting - Colored fills and contrasting borders for instant recognition * Dynamic Symbol Placement - ATR-based offset prevents overlap * Comprehensive Panel - Real-time macro + trade metrics in one view * Toggleable Legend - Learn signals, hide once familiar How to Use 1. Set Your Timeframes - Default 1W/1D/4H works for swing trading 2. Monitor Macro Environment - Check risk-on/off context 3. Wait for Confluence ≥4 - Let multiple signals align 4. Enter on Tier 1/2 Alerts - Best probability setups 5. Use Fib Extensions for Targets - Systematic profit taking Customizable Settings * Multi-timeframe periods * RSI length and divergence sensitivity * Liquidity sweep parameters * Fibonacci swing lookback * Volume thresholds * Shape offset multiplier * Visual toggles (Fibs, extensions, legend) Built-in Alert System Three-tier alert structure lets you filter by setup quality. Set alerts for Tier 1 only for highest conviction trades, or include Tier 2 for more opportunities. Best Practices * Use on clean timeframes - 1H+ for less noise * Combine with support/resistance - Zones near key levels = highest probability * Respect the macro - Don't fight extreme risk-off environments * Wait for the full stack - Best trades have 4+ aligned signals * Practice on demo first - Learn signal behavior in your market Works On * Cryptocurrency (spot & futures) * Forex pairs * Stock indices * Individual stocks * Commodities Note: This indicator identifies potential setups but does not guarantee profits. Always use proper risk management, position sizing, and stops. Past performance does not predict future results. Created by cdotgnz | For educational purposes
Pine Script® indicator
by cdotgnz
EMA + RSI Autotrade Webhook - VarunOverview The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features Simple & Effective: Uses proven EMA 9/21 crossover strategy RSI Momentum Filter: Eliminates low-probability trades in ranging markets Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms Zero Lag Signals: Real-time alerts on crossover confirmation Visual Clarity: Clean chart markers for easy signal identification How It Works Entry Signals: LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed) SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed) Technical Components: Fast EMA: 9-period (tracks short-term price action) Slow EMA: 21-period (identifies primary trend) RSI: 14-period (confirms momentum strength) RSI Long Threshold: 52 (filters weak bullish signals) RSI Short Threshold: 48 (filters weak bearish signals) Best Use Cases Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts Timeframes: Optimized for 15-minute charts (works on 5min-1H) Markets: Trending crypto markets with clear directional moves Risk Management: Best used with 1-2% stop loss per trade (managed externally) Webhook Automation Setup Add indicator to your TradingView chart Create alerts for "LONG Entry" and "SHORT Entry" Configure webhook URL from your exchange (Delta Exchange, Binance, etc.) Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}} Exchange automatically reverses positions on opposite signals Advantages ✅ No manual trading required - fully automated ✅ Eliminates emotional trading decisions ✅ Catches trending moves early with EMA crossovers ✅ RSI filter reduces whipsaws in choppy markets ✅ Works 24/7 without monitoring ✅ Simple two-alert system (easy to manage) ✅ Compatible with multiple exchanges via webhooksStrategy Philosophy This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing) Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals Position Sizing: 100% capital per signal (exchange manages reversals) Stop Loss: 2% (managed via exchange or external bot) Leverage: 1-2x for conservative approach, up to 5x for aggressive Important Notes ⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange ⚠️ Always backtest on historical data before live trading ⚠️ Use proper risk management and position sizing ⚠️ Best performance in trending markets; may generate false signals in tight ranges ⚠️ Requires TradingView Premium or higher for webhook functionalityTags cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
Pine Script® indicator
by varuns_back
ROC & Momentum FusionROC & Momentum Fusion (by HabibiTrades ©) Purpose: “ROC & Momentum Fusion” combines the Rate of Change (ROC) with a MACD-style signal engine to identify early momentum reversals, confirmed trend shifts, and low-volatility choppy zones. It’s built for traders who want early momentum detection with the clarity of trend persistence — adaptable to any instrument and timeframe. ⚙️ How It Works Rate of Change (ROC): Measures the percentage speed of price change over time, showing the raw momentum strength. Signal Line (EMA): A short EMA of the ROC — responds faster to new directional shifts, similar to a MACD signal line. Histogram: Displays acceleration and deceleration between the ROC and its signal line. Persistent Trend States: When the ROC crosses the signal line or zero, the indicator enters a new momentum regime (bullish or bearish) and stays in that color until another flip occurs. Dynamic Choppy Zone: When ROC momentum fades within the zero buffer zone, the indicator turns orange, signaling a sideways or indecisive market. 🟢 Visual Regimes Regime Description Color Bullish Momentum ROC above zero or signal line 🟢 Neon Green Bearish Momentum ROC below zero or signal line 🔴 Neon Red Choppy / Neutral ROC hovering within ±threshold range 🟠 Neon Orange This color system makes it visually effortless to see whether the market is trending, reversing, or consolidating. 🧭 Adaptive Intelligence The script automatically adjusts to market type and session for consistent accuracy: Session Adaptive: Adjusts smoothing based on global sessions (Asian, London, New York, Sydney). Instrument Adaptive: Fine-tunes sensitivity automatically for major assets — NASDAQ (NQ), S&P 500 (ES), Gold (GC), Oil (CL), Bitcoin (BTC). Volatility Normalization: Optionally divides ROC by its own standard deviation to stabilize noisy assets and maintain consistent scaling. 🔔 Signals & Alerts Bullish Reversal: ROC crosses above its signal or zero line — early momentum flip. Bearish Reversal: ROC crosses below its signal or zero line — downward momentum flip. Alerts: Both reversal conditions include built-in alert triggers for automation and notifications. 🎨 Visual Features Main ROC Line: Adaptive EMA of ROC, color-coded by trend regime. Signal Line: Optional white EMA overlay for MACD-style crossovers. Histogram: Visual burst display of acceleration (green/red). Reversal Markers: Optional triangles marking exact crossover points. Threshold Lines: Highlight the zero and buffer zones for visual clarity. 🧩 Best Use Cases Identify early momentum shifts before price confirms them. Confirm trend continuation or exhaustion with color persistence. Detect choppy / low-volatility periods instantly. Works across all timeframes — from 1-minute scalping to weekly swings. Combine with structure, EMAs, or volume for confirmation. ⚙️ Recommended Settings Setting Default Description ROC Period 6 Core momentum length (lower = faster response). Signal EMA Length 3 MACD-style responsiveness (lower = more reactive). Zero Buffer Threshold 0.15 Defines the width of the neutral zone around zero. Choppy Zone Multiplier 1.0 Expands or tightens the orange zone sensitivity. These defaults have been optimized through real-market testing to balance responsiveness and smoothness across different asset classes. ⚠️ Notes The color regime is persistent, meaning once the line turns bullish or bearish, it remains in that state until momentum structurally flips. The orange zone represents momentum uncertainty and helps avoid false entries in range-bound markets. Works seamlessly on any timeframe and with any asset.
Pine Script® indicator
by Habibitrades_
ONLY LONG – 4H Breakout → 1H EMA(12/21) [Signals]🔹 ONLY LONG – 4H Breakout → 1H EMA(12/21) Author: SystemsOverFeelings Type: Signal-only indicator (non-repainting) Timeframe: Designed for the 1H chart Markets: BTCUSDT perpetual& major pairs 📖 Concept A high-timeframe confirmation model for trend-continuation longs. It detects: A 4-Hour breakout candle closing above recent range highs, With very-high volume confirmation, and Then waits for a 1-Hour pullback into the EMA(12/21) band or a Break of Structure (BOS) to re-enter. No repainting — all 4H logic uses request.security(..., lookahead_off) for confirmed data. 🧩 Signal Logic ✅ 4H Trigger: Breakout candle with volume > SMA(20) × user multiplier. ✅ Armed Regime: Green background = system ready for 1H entries. 🟢 LONG Signal: 1H candle consolidates inside or touches the EMA band, or shows BOS confirmation. ❌ EXIT Signal: 4H EMA(12) crosses below EMA(21). All signals are visually marked and alert-ready. ⚙️ Adjustable Parameters 4H volume multiplier Range lookback days Pullback strictness (inside/touch) 1H BOS pivot length & mode Expiry time for invalidated setups 🔔 Alerts Built-in alerts for: 4H breakout trigger 1H long entry signal 4H band exit Use them directly via “Create Alert → Condition → This Script → Choose Signal.” 💡 Notes Works best on BTC/ETH 1H chart. Non-repainting, multi-timeframe logic. Use for directional bias or entry timing — not financial advice.
Pine Script® indicator
by SystemsOverFeelings
Volume Area 80 Rule Pro - Adaptive RTHSummary in one paragraph Adaptive value area 80 percent rule for index futures large cap equities liquid crypto and major FX on intraday timeframes. It focuses activity only when multiple context gates align. It is original because the classic prior day value area traverse is fused with a daily regime classifier that remaps the operating parameters in real time. Scope and intent • Markets. ES NQ SPY QQQ large cap equities BTC ETH major FX pairs and other liquid RTH instruments • Timeframes. One minute to one hour with daily regime context • Default demo used in the publication. ES1 on five minutes • Purpose. Trade only the balanced days where the 80 percent traverse has edge while standing aside or tightening rules during trend or shock Originality and usefulness • Unique fusion. Prior day value area logic plus a rolling daily regime classifier using percentile ranks of realized volatility and ADX. The regime remaps hold time end of window stop buffer and value area coverage on each session • Failure mode addressed. False starts during strong trend or shock sessions and weak traverses during quiet grind • Testability. All gates are visible in Inputs and debug flags can be plotted so users can verify why a suggestion appears • Portable yardstick. The regime uses ATR divided by close and ADX percent ranks which behave consistently across symbols Method overview in plain language The script builds the prior session profile during regular trading hours. At the first regular bar it freezes yesterday value area low value area high and point of control. It then evaluates the current session open location the first thirty minute volume rank the open gap rank and an opening drive test. In parallel a daily series classifies context into Calm Balance Trend or Shock from rolling percentile ranks of realized volatility and ADX. The classifier scales the rules. Calm uses longer holds and a slightly wider value area. Trend and Shock shorten the window reduce holds and enlarge stop buffers. Base measures • Range basis. True Range smoothed over a configurable length on both the daily and intraday series • Return basis. Not required. ATR over close is the unit for regime strength Components • Prior Value Area Engine. Builds yesterday value area low value area high and point of control from a binned volume profile with automatic TPO fallback and minimum integrity guards • Opening Location. Detects whether the session opens above the prior value area or below it • Inside Hold Counter. Counts consecutive bars that hold inside the value area after a re entry • Volume Gate. Percentile of the first thirty minutes volume over a rolling sample • Gap Gate. Percentile rank of the regular session open gap over a rolling sample • Drive Gate. Opening drive check using a multiple of intraday ATR • Regime Classifier. Percentile ranks of daily ATR over close and daily ADX classify Calm Balance Trend Shock and remap parameters • Session windows optional. Windows follow the chart exchange time Fusion rule Minimum satisfied gates approach. A re entry must hold inside the value area for a regime scaled number of bars while the volume gap and drive gates allow the setup. The regime simultaneously scales value area coverage end minute time stop and stop buffer. Signal rule • Long suggestion appears when price opens below yesterday value area then re enters and holds for the required bars while all gates allow the setup • Short suggestion appears when price opens above yesterday value area then re enters and holds for the required bars while all gates allow the setup • WAIT shows implicitly when any required gate is missing • Exit labels mark target touch stop touch or a time based close Inputs with guidance Setup • Signal timeframe. Uses the chart by default • Session windows optional. Start and end minutes inside regular trading hours • Invert direction is not used. The logic is symmetric Logic • Hold bars inside value area. Typical range 3 to 12. Raising it reduces trades and favors better traverses. Lowering it increases frequency and risk of false starts • Earliest minute since RTH open and Latest minute since RTH open. Typical range 0 to 390. Reducing the latest minute cuts late session trades • Time stop bars after entry. Typical range 6 to 30. Larger values give setups more room Filters • Value area coverage. Typical range 0.70 to 0.85. Higher coverage narrows the traverse but accepts fewer days • Bin size in ticks. Typical range 1 to 8. Larger bins stabilize noisy profiles • Stop buffer ticks beyond edge. Typical range 2 to 20. Larger buffers survive noise • First thirty minute volume percentile. Typical range 0.30 to 0.70. Higher values require more active opens • Gap filter percentile. Typical range 0.70 to 0.95. Lower values block more gap days • Opening drive multiple and bars. Higher multiple or longer bars block strong directional opens Adaptivity • Lookback days for regime ranks. Typical 150 to 500 • Calm RV percentile. Typical 25 to 45 • Trend ADX percentile. Typical 55 to 75 • Shock RV percentile. Typical 75 to 90 • End minute ratio in Trend and Shock. Typical 0.5 to 0.8 • Hold and Time stop scales per regime. Use values near one to keep behavior close to static settings Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Sessions use the chart exchange time Honest limitations and failure modes • Economic releases and thin liquidity can break the balance premise • Gap heavy symbols may work better with stronger gap filters and a True Range focus • Very quiet regimes reduce signal contrast. Consider longer windows or higher thresholds Legal Education and research only. Not investment advice. Test in simulation before any live use.
Pine Script® indicator
by exlux
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned. Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders. It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction. Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious. 🔵 CONCEPTS Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops). Market makers & large players often push price into these zones to trigger stops and capture liquidity. The indicator uses recent volatility + volume expansion to estimate where these pools exist. Horizontal heat bars show depth and intensity of probable liquidity. Profile side histogram displays buy-side vs sell-side liquidity distribution. 🔵 FEATURES Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior. Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price. Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation. Real-Time Heat Coloring • Lime = liquidity below price (potential buy-side fuel) • Blue = liquidity above price (potential sell-side fuel) • Orange = peak liquidity (POC) Liquidity Profile Histogram — plotted at right side, layered by strength. Auto-Cleaning Engine — removes invalidated liquidity after breaks. Adjustable lookback window and bin resolution . 🔵 HOW TO USE Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps. Orange POC often acts as magnet — strong target zone for smart money. Combine with SFP / BOS logic to time reversals after liquidity hunts. In trend, price repeatedly sweeps opposite-side liquidity before continuation. Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa. Great for scalping sessions, indices, FX, BTC, ETH. 🔵 CONCLUSION The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides. It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC). Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
Pine Script® indicator
by BigBeluga
28
Trend Entry_0 [TS_Indie]Trend Entry_0 — Mechanism Overview The core structure of this strategy is based on a price action reversal pattern, as detailed below: In the case of a Bullish Trend Reversal: The price initially moves in a bearish direction. When candle A forms a low lower than the previous low, the high of candle A becomes a key reference point.
If the next candle closes above the high of candle A , it confirms a Bullish Trend Reversal. * Upon a Bullish signal, a Long position is opened at the opening price of the next candle (candle B). * When a subsequent Bearish signal occurs, the Long position is closed at the opening price of the next candle (candle C). In the case of a Bearish Trend Reversal: The price initially moves in a bullish direction. When candle A forms a high higher than the previous high, the low of candle A becomes a key reference point.
If the next candle closes below the low of candle A , it confirms a Bearish Trend Reversal. * Upon a Bearish signal, a Short position is opened at the opening price of the next candle (candle B). * When a subsequent Bullish signal occurs, the Short position is closed at the opening price of the next candle (candle C). Options * The start and end dates of the backtest can be customized. * The swing lines of the trend can be displayed as an optional visual aid. * The user can choose whether to open only Long or Short positions. Backtest Results and Observations Based on the backtesting results of this strategy across various assets and timeframes, it has been observed that this approach works best on trending assets such as Gold, BTC, and stocks.
It also performs well on higher timeframes, starting from the Daily timeframe and above, especially when taking Long positions only. 
 However, when applied to currency pairs such as EUR/USD, the results tend to be less impressive. I encourage everyone to try backtesting and further developing this strategy — adding new conditions or filters may potentially lead to improved performance. Disclaimer This script is intended solely for backtesting purposes, based on a particular price action pattern.
It does not constitute financial or investment advice.
Backtest results do not guarantee future performance.
Pine Script® strategy
by Truth_Strategy_Indie
2
Custom Checklist# Custom Checklist - Trading Preparation & Reminders A fully customizable checklist overlay indicator for TradingView that helps traders maintain discipline and follow their trading routine systematically. ## 🎯 Purpose This indicator serves as a visual reminder system on your charts to ensure you complete all necessary analysis steps before entering a trade. Perfect for traders who want to maintain consistency and avoid emotional or rushed trading decisions. ## ✨ Key Features - **20 Customizable Lines**: Create your own checklist items with any text you need - **Flexible Display Options**: - Show/hide title header - Toggle entire checklist on/off - Position anywhere on chart (9 positions available) - Adjustable text size (tiny to huge) - **Symbol Filtering**: Option to show checklist only on specific symbols (BTC/USD, GOLD, SPX500, USOIL) - **Customizable Appearance**: - Background color - Text color - Border color - Transparency controls - **Clean Interface**: Empty by default - add only the items you need ## 📋 Use Cases - **Morning Routine**: Daily market preparation checklist - **Trade Entry Rules**: Verify all setup conditions are met - **Risk Management**: Confirm stop-loss, position size, and exit strategy - **Multi-Timeframe Analysis**: Ensure you checked all required timeframes - **Technical Analysis**: Track which indicators and patterns you've reviewed - **News & Events**: Remember to check economic calendar and news - **Personal Rules**: Your custom trading rules and reminders ## 🎨 Customization Every aspect is customizable: - All 20 lines can be edited to your needs - Only non-empty lines are displayed - Table position adjustable to any corner or middle position - Color scheme fully customizable to match your chart theme - Text size scalable for different screen sizes ## 💡 How to Use 1. Add indicator to your chart 2. Open Settings > Checklist Items 3. Fill in your checklist items (Line 1, Line 2, etc.) 4. Customize colors and position in Display Settings 5. Optional: Enable "Show Only on Specific Symbols" to show on select instruments ## 🔧 Display Settings - **Checklist Title**: Custom header for your checklist - **Show Title Header**: Toggle title display - **Show Checklist**: Master on/off switch - **Symbol Filter**: Restrict display to specific trading instruments - **Position**: 9 placement options (corners and middle positions) - **Text Size**: 5 size options (tiny, small, normal, large, huge) - **Colors**: Background, text, and border fully customizable ## 📝 Example Checklist Ideas **Swing Trading:** - Support/Resistance levels identified - Trend direction confirmed - Volume analysis completed - RSI/MACD signals checked - Risk/Reward ratio calculated **Day Trading:** - Pre-market review done - Key levels marked - Economic calendar checked - Trading plan written - Position size calculated **Technical Analysis:** - Multiple timeframe alignment - Chart patterns identified - Moving averages reviewed - Fibonacci levels drawn - Volume profile analyzed ## ⚙️ Technical Details - Pine Script v6 - Overlay indicator (displays on main chart) - Lightweight - no complex calculations - No repainting - Works on all timeframes and instruments ## 🎓 Perfect For - Beginner traders learning systematic analysis - Experienced traders maintaining discipline - Anyone who wants visual trading reminders - Traders following multi-step strategies - Those prone to FOMO or emotional trading --- **Note**: This is a visual tool only. It does not generate trading signals or perform analysis. It serves as a reminder checklist to help you follow your own trading process consistently.
Pine Script® indicator
by cfircoo
Custom Checklist# Custom Checklist - Trading Preparation & Reminders A fully customizable checklist overlay indicator for TradingView that helps traders maintain discipline and follow their trading routine systematically. ## 🎯 Purpose This indicator serves as a visual reminder system on your charts to ensure you complete all necessary analysis steps before entering a trade. Perfect for traders who want to maintain consistency and avoid emotional or rushed trading decisions. ## ✨ Key Features - **20 Customizable Lines**: Create your own checklist items with any text you need - **Flexible Display Options**: - Show/hide title header - Toggle entire checklist on/off - Position anywhere on chart (9 positions available) - Adjustable text size (tiny to huge) - **Symbol Filtering**: Option to show checklist only on specific symbols (BTC/USD, GOLD, SPX500, USOIL) - **Customizable Appearance**: - Background color - Text color - Border color - Transparency controls - **Clean Interface**: Empty by default - add only the items you need ## 📋 Use Cases - **Morning Routine**: Daily market preparation checklist - **Trade Entry Rules**: Verify all setup conditions are met - **Risk Management**: Confirm stop-loss, position size, and exit strategy - **Multi-Timeframe Analysis**: Ensure you checked all required timeframes - **Technical Analysis**: Track which indicators and patterns you've reviewed - **News & Events**: Remember to check economic calendar and news - **Personal Rules**: Your custom trading rules and reminders ## 🎨 Customization Every aspect is customizable: - All 20 lines can be edited to your needs - Only non-empty lines are displayed - Table position adjustable to any corner or middle position - Color scheme fully customizable to match your chart theme - Text size scalable for different screen sizes ## 💡 How to Use 1. Add indicator to your chart 2. Open Settings > Checklist Items 3. Fill in your checklist items (Line 1, Line 2, etc.) 4. Customize colors and position in Display Settings 5. Optional: Enable "Show Only on Specific Symbols" to show on select instruments ## 🔧 Display Settings - **Checklist Title**: Custom header for your checklist - **Show Title Header**: Toggle title display - **Show Checklist**: Master on/off switch - **Symbol Filter**: Restrict display to specific trading instruments - **Position**: 9 placement options (corners and middle positions) - **Text Size**: 5 size options (tiny, small, normal, large, huge) - **Colors**: Background, text, and border fully customizable ## 📝 Example Checklist Ideas **Swing Trading:** - Support/Resistance levels identified - Trend direction confirmed - Volume analysis completed - RSI/MACD signals checked - Risk/Reward ratio calculated **Day Trading:** - Pre-market review done - Key levels marked - Economic calendar checked - Trading plan written - Position size calculated **Technical Analysis:** - Multiple timeframe alignment - Chart patterns identified - Moving averages reviewed - Fibonacci levels drawn - Volume profile analyzed ## ⚙️ Technical Details - Pine Script v6 - Overlay indicator (displays on main chart) - Lightweight - no complex calculations - No repainting - Works on all timeframes and instruments ## 🎓 Perfect For - Beginner traders learning systematic analysis - Experienced traders maintaining discipline - Anyone who wants visual trading reminders - Traders following multi-step strategies - Those prone to FOMO or emotional trading --- **Note**: This is a visual tool only. It does not generate trading signals or perform analysis. It serves as a reminder checklist to help you follow your own trading process consistently.
Pine Script® indicator
by cfircoo
US/SPY- Financial Regime Index Swing Strategy Credits: concept inspired by EdgeTools Bloomberg Financial Conditions Index (Proxy) Improvements: eight component basket, inverse volatility weights, winsorization option( statistical technique used to limit the influence of outliers in a dataset by replacing extreme values with less extreme ones, rather than removing them entirely), slope and price gates, exit guards, table and gradients. Summary in one paragraph A macro regime swing strategy for index ETFs, futures, FX majors, and large cap equities on daily calculation with optional lower time execution. It acts only when a composite Financial Conditions proxy plus slope and an optional price filter align. Originality comes from an eight component macro basket with inverse volatility weights and winsorized return z scores that produce a portable yardstick. Scope and intent Markets: SPY and peers, ES futures, ACWI, liquid FX majors, BTC, large cap equities. Timeframes: calculation daily by default, trade on any chart. Default demo: SPY on Daily. Purpose: convert broad financial conditions into clear swing bias and exits. Originality and usefulness Unique fusion: return z scores for eight liquid proxies with inverse volatility weighting and optional winsorization, then slope and price gates. Failure mode addressed: false starts in chop and early shorts during easy liquidity. Testability: all knobs are inputs and the table shows components and weights. Portable yardstick: z scores center at zero so thresholds transfer across symbols. Method overview in plain language Base measures Return basis: natural log return over a configurable window, standardized to a z score. Winsorization optional to cap extremes. Components EQ US and EQ GLB measure equity tone. CREDIT uses LQD over HYG. Higher credit quality outperformance is risk off so sign is flipped after z score. RATES2Y uses two year yield, sign flipped. SLOPE uses ten minus two year yield spread. USD uses DXY, sign flipped. VOL uses VIX, sign flipped. LIQ uses BIL over SPY, sign flipped. Each component is smoothed by the composite EMA. Fusion rule Weighted sum where weights are equal or inverse volatility with exponent gamma, normalized to percent so they sum to one. Signal rule Long when composite crosses up the long threshold and its slope is positive and price is above the SMA filter, or when composite is above the configured always long floor. Short when composite crosses down the short threshold and its slope is negative and price is below the SMA filter. Long exit on cross down of the long exit line or on a fresh short signal. Short exit on cross up of the short exit line or on a fresh long signal, or when composite falls below the force short exit guard. What you will see on the chart Markers on suggestion bars: L for long, S for short, LX and SX for exits. Reference lines at zero and soft regime bands at plus one and minus one. Optional background gradient by regime intensity. Compact table with component z, weight percent, and composite readout. Table fields and quick reading guide Component: EQ US, EQ GLB, CREDIT, RATES2Y, SLOPE, USD, VOL, LIQ. Z: current standardized value, green for positive risk tone where applicable. Weight: contribution percent after normalization. Composite: current index value. Reading tip: a broadly green Z column with slope positive often precedes better long context. Inputs with guidance Setup Calc timeframe: default Daily. Leave blank to inherit chart. Lookback: 50 to 1500. Larger length stabilizes regimes and delays turns. EMA smoothing: 1 to 200. Higher smooths noise and delays signals. Normalization Winsorize z at ±3: caps extremes to reduce one off shocks. Return window for equities: 5 to 260. Shorter reacts faster. Weighting Weight lookback: 20 to 520. Weight mode: Equal or InvVol. InvVol exponent gamma: 0.1 to 3. Higher compresses noisy components more. Signals Trade side: Long Short or Both. Entry threshold long and short: portable z thresholds. Exit line long and short: soft exits that give back less. Slope lookback bars: 1 to 20. Always long floor bfci ≥ X: macro easy mode keep long. Force short exit when bfci < Y: macro stress guard. Confirm Use price trend filter and Price SMA length. View Glow line and Show component table. Symbols SPY ACWI HYG LQD VIX DXY US02Y US10Y BIL are defaults and can be changed. Realism and responsible publication No performance claims. Past is not future. Shapes can move intrabar and settle on close. Execution is on standard candles only. Honest limitations and failure modes Major economic releases and illiquid sessions can break assumptions. Very quiet regimes reduce contrast. Use longer windows or higher thresholds. Component proxies are ETFs and indexes and cannot match a proprietary FCI exactly. Strategy notice Orders are simulated on standard candles. All security calls use lookahead off. Nonstandard chart types are not supported for strategies. Entries and exits Long rule: bfci cross above long threshold with positive slope and optional price filter OR bfci above the always long floor. Short rule: bfci cross below short threshold with negative slope and optional price filter. Exit rules: long exit on bfci cross below long exit or on a short signal. Short exit on bfci cross above short exit or on a long signal or on force close guard. Position sizing Percent of equity by default. Keep target risk per trade low. One percent is a sensible starting point. For this example we used 3% of the total capital Commisions We used a 0.05% comission and 5 tick slippage Legal Education and research only. Not investment advice. Test in simulation first. Use realistic costs.
Pine Script® strategy
by exlux
8x Heikin Ashi Streak (1m) by Bitcoin Benito🧭 Indicator Description: “8x Heikin Ashi Streak (1m) by Bitcoin Benito” **Purpose:** The *8x Heikin Ashi Streak* indicator helps traders quickly identify strong short-term momentum on the **1-minute timeframe**. It automatically tracks Heikin Ashi candles and alerts you whenever **8 consecutive bullish or bearish candles** appear — a visual cue that a strong intraday trend or exhaustion point might be forming. --- 🔍 **How It Works** * The indicator continuously counts Heikin Ashi candles in real-time. * When it detects **8 bullish (green)** or **8 bearish (red)** candles in a row: * A green ▲ marker appears **below** the 8th candle for bullish streaks. * A red ▼ marker appears **above** the 8th candle for bearish streaks. * You can set alerts to automatically notify you when these streaks occur. This makes it ideal for **momentum traders**, **scalpers**, and **trend-reversal spotters** who want to: * Catch strong intraday moves early. * Identify potential overextension zones before pullbacks. * Automate alert signals for short-term trading setups. IMPORTANT: Only trade when most of the 8 candles are below/above the EMA 8 Line respectively. Add an EMA 8 indicator to see if this is the case --- ⚙️ **How to Use** 1. **Apply to a 1-minute chart** (this script is optimized for 1m timeframes). 2. When the indicator plots a green or red triangle: * **Green triangle (8 bullish candles):** Trend momentum is strong upward. * **Red triangle (8 bearish candles):** Downward momentum is dominant. 3. Optionally, combine with volume or EMA filters to confirm breakouts or exhaustion. --- 🔔 **Setting Up Alerts** * Click the **Alert (🔔)** icon on TradingView. * Under *Condition*, select: * “8x Heikin Ashi Streak (1m)” → “8 Bullish Heikin Ashi (1m)” * OR “8x Heikin Ashi Streak (1m)” → “8 Bearish Heikin Ashi (1m)” * Choose **Once per bar close** to trigger the alert when the 8th candle completes. * Add your custom message, e.g. > “🚀 8 bullish Heikin Ashi candles in a row on 1-minute chart!” > “🔻 8 bearish Heikin Ashi candles in a row on 1-minute chart!” --- 📊 **Best Practices** * Works best on **liquid assets** (major forex pairs, indices, BTC/USD, etc.). * Pair with **RSI**, **EMA**, or **Volume** indicators for stronger confirmation. * Not a standalone buy/sell signal — treat it as a **momentum or exhaustion alert**. * Can be adapted to other timeframes by changing chart resolution. --- ⚠️ **Disclaimer** This indicator is for **educational and analytical purposes only**. Trading carries risk — always test on demo accounts and use proper risk management. No indicator guarantees profit; this is a tool for insight and timing, not financial advice.
Pine Script® indicator
by rememberit1