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LSI Slim - EMA4/8 + Volume Filter + Sweep Targets V1📌 LSI Slim – EMA4/8 + Volume Filter + Sweep Targets LSI Slim is a lightweight but highly effective market-structure tool that combines liquidity sweep detection, volume confirmation, higher-TF EMA signals, and dynamic target generation. It is designed for traders who want a clean chart, fast confirmation, and objective target levels derived from real market behavior. 🔍 Key Features 1. Liquidity Sweep Detection Automatically identifies simple bullish and bearish liquidity sweeps using recent swing extremes. Each sweep is stored and plotted with optional fading lines to visually track market intent. 2. EMA 4/8 Confirmation (Higher Timeframe) Built-in higher-timeframe confirmation using EMA 4 and EMA 8 crossovers. Cross signals can optionally display labels and debug markers. 3. Adaptive Volume Filter Two selectable volume-strength modes: Incremental z-score increase Negative-to-positive transition The volume filter acts as an additional confirmation layer for sweep validations. 4. Intelligent Target Generation Once a sweep is confirmed: Targets (TP1–TP4) are projected using daily range or ATR fallback Optional FVG override automatically snaps TP1 to the nearest Fair Value Gap when relevant Targets are rendered with adjustable opacity and forward extension 5. Clean Visual Interface Designed to stay lightweight and non-intrusive: Adjustable max number of sweep lines Optional fading for older levels Minimalistic labels and shapes for clarity 🎯 Ideal For Liquidity-based traders Market structure practitioners EMA-trend traders Volume confirmation strategies Intraday and swing trading across all markets ⚠️ Disclaimer This script is for educational purposes only and does not constitute financial advice. Always test on historical data and use proper risk management.
Pine Script® indicator
by EdoardoTelve
PRICE ACTION TRAKKERThis indicator isolates the core price-phase engine from the full Price Action Tracker (PAT) system. It identifies and visualises structural phases of price, including: Upper phase boundary (dynamic resistance) Lower phase boundary (dynamic support) Phase average (mean-reversion anchor) Pivot markers (LPH, LPL, oLPH, oLPL) The phase engine dynamically adapts to evolving market structure using pivot behaviour and structural breaks. This creates a real-time visual map of how price is organising itself — independent of time-based indicators and without the lag associated with classical moving averages. This version focuses exclusively on price action structure, making it clean, fast, and ideal as a core tool on its own. However, it is also designed as a foundation for more advanced analysis and will expand over time as additional modules are released. This phase engine works exceptionally well in combination with my other indicators, such as moving-average structure tools, volume-weighted frameworks, and trend-strength models. Together, they provide a layered view of market behaviour: phase structure → trend bias → volume confirmation → entry logic. This makes the indicator valuable for: Intra-day and swing traders Wyckoff and liquidity-based traders Mean-reversion and range-trading strategies Understanding where accumulation/distribution behaviour is forming Identifying when a phase is likely ending or breaking Future updates will add modular expansion paths (trend scoring, VWAP phase weighting, multi-phase confluence, and signal logic), while maintaining the simplicity and reliability of this core engine. Works Best With: This indicator is part of a broader toolkit designed to analyse structure, trend, and behaviour. When used alongside my other published tools — such as trend-strength MAs, VWMA frameworks, and higher-timeframe bias indicators — it provides a complete, multi-layered view of market conditions.
Pine Script® indicator
by pc75
Market Dynamics - Backtest Engine [NeuraAlgo]Market Dynamics – Backtest Engine Market Dynamics – Backtest Engine is an advanced research-grade trading framework engineered by NeuraAlgo. 🔹 Core Engine – Dynamic Trend Model The strategy leverages the NeuraAlgo – Market Dynamics indicator as its foundation, providing intelligent insights to guide trading decisions. It is designed to automatically identify the optimal settings for the NeuraAlgo – Market Dynamics indicator, helping traders fine-tune their strategy for maximum efficiency, accuracy, and profitability. This engine dynamically adapts to market conditions, ensuring your strategy stays optimized in real-time. 🔹 Optimization Engine A built-in optimization module allows automatic testing of: Winrate-focused configurations Profit-focused configurations Sensitivity ranges Step sizes Main Entry, Main Filter, Feature Filter, and Risk Manager categories This enables rapid identification of optimal parameters similar to a lightweight AI optimizer. This Backtesting + Auto Optimization Engine includes an integrated optimizer that automatically tests sensitivity ranges: Maximize Winrate Maximize Profits Optimize Main Entries, Risk Manager, or Feature Filters Users can set: start sensitivity step size parameter category The engine autonomously computes which parameter delivers the strongest performance. 🔹 How To Use 1. Identify the Parameters First, you need to know which indicator parameters can be optimized. For the NeuraAlgo – Market Dynamics indicator, these might include: Trend sensitivity Smoothing periods Threshold values for bullish/bearish signals These parameters are the inputs your engine will test. 2. Define a Range For each parameter, define a range of values to test. Example: Sensitivity: 2 → 10 Trend period: 14 → 50 Threshold: 0.1 → 1.0 The more granular the range, the more precise the optimization—but it will also take longer. 3. Run Backtest Optimization Attach the strategy to a chart. Select optimization mode in your engine (or set the range for each parameter). Start the backtest: the engine will simulate trades for every combination of parameter values. The system will automatically record key metrics for each run: Net profit Win rate Profit factor Max drawdown 4. Analyze the Results After the backtest, your engine will display a results table or chart showing performance for each parameter combination. Look for: Highest net profit Highest win rate Or a combination depending on your strategy goals Some engines will highlight the “best” parameter set automatically. 5. Apply Optimal Settings Once identified: Select the best-performing parameter values. Apply them to your live strategy or paper trade. Optionally, forward test to confirm they work on unseen market data. Congratulations! The setup is now optimized. 🔹 Conclusion The backtest optimization process helps you find the best parameter values for the NeuraAlgo – Market Dynamics indicator by systematically testing different settings and measuring their performance. By analyzing metrics like net profit, win rate, and drawdown, you can select optimized parameters that are more likely to perform consistently in real trading. Proper optimization ensures your strategy is data-driven, adaptable, and reduces guesswork, giving you a stronger edge in the market.
Pine Script® strategy
by NeuraAlgo
BTC - FRIC: Friction & Realized Intensity CompositeTitle: BTC - FRIC: Friction & Realized Intensity Composite Data: IntoTheBlock Overview & Philosophy FRIC (Friction & Realized Intensity Composite) is a specialized on-chain oscillator designed to visualize the "psychological battlegrounds" of the Bitcoin network. Most indicators focus on Price or Momentum. FRIC focuses on Cost Basis. It operates on the thesis that the market experiences maximum "Friction" when the price revisits the cost basis of a large number of holders. These are the zones where investors are emotionally triggered to react—either to exit "at breakeven" after a loss (creating resistance) or to defend their entry (creating support). This indicator answers two questions simultaneously: Intensity: Is the market hitting a Wall (High Friction) or a Vacuum (Low Friction)? Valuation: Is this happening at a market bottom or a top? The "Alpha" (Wall vs. Vacuum) Why we visualize both extremes: This indicator filters out the "Noise" (the middle range) to show you only the statistically significant anomalies. 1. The "Wall" (Positive Z-Score Bars) What it is : A statistically high number of addresses are at breakeven. The Implication : Expect a grind. Price action often slows down or reverses here because "Bag Holders" are selling into strength to get out flat, or new buyers are establishing a floor. 2. The "Vacuum" (Negative Z-Score Bars) What it is : A statistically low number of addresses are at breakeven. The Implication : Expect acceleration. The price is moving through a zone where very few people have a cost basis. With no natural "breakeven supply" to block the path, price often enters Price Discovery or Free Fall. Methodology The indicator constructs a composite view using two premium metrics from IntoTheBlock: 1. The "Activity" (Friction Z-Score): We utilize the Breakeven Addresses Percentage. This measures the % of all addresses where the current price equals the average cost basis. - Normalization: We apply a rolling Z-Score (Standard Deviation) to this data. - The Filter: We hide the "Noise" (e.g., Z-Scores between -2.0 and +2.0) to isolate only the events where market structure is truly stretched. 2. The "Context" (Valuation Heatmap): We utilize the MVRV Ratio to color-code the friction. Deep Value (< 1.0): Price is below the average "Fair Value" of the network. Overheated (> 3.0): Price is significantly extended above the "Fair Value." Credit: The MVRV Ratio was originally conceptualized by Murad Mahmudov and David Puell. It remains one of the gold standards for detecting Bitcoin's fair value deviations. How to Read the Indicator The chart is visualized as a Noise-Filtered Heatmap. 1. The Bars (Intensity) Bars Above Zero: High Friction (Congestion). The market is fighting through a supply wall. Bars Below Zero: Low Friction (Vacuum). The market is accelerating through thin air. Gray/Ghosted: Noise. Routine market activity; no significant signal. 2. The Colors (Valuation Context) The color tells you why the friction is happening: 🟦 Deep Blue (The "Capitulation Buy"): Signal: High Friction + Low MVRV. Meaning : Investors are panic-selling at breakeven/loss, but the asset is fundamentally undervalued. Historically, these are high-conviction cycle bottoms. 🟥 Dark Red (The "FOMO Sell"): Signal: High Friction + High MVRV. Meaning : Investors are churning at high valuations. Smart money is often distributing to late retail arrivers. Historically marks cycle tops. 🟨 Yellow/Orange (The "Trend Battle"): Signal: High Friction + Neutral MVRV. Meaning : The market is contesting a level within a trend (e.g., a mid-cycle correction). Visual Guide & Features 10-Zone Heatmap: A granular color gradient that shifts from Dark Blue (Deep Value) → Sky Blue → Grey (Neutral) → Orange → Dark Red (Top). Noise Filter A unique feature that "ghosts out" insignificant data, leaving only the statistically relevant signals visible. Data Check Monitor A diagnostic table in the bottom-right corner that confirms the live connection to IntoTheBlock data streams and displays the current regime in real-time. Settings Lookback Period (Default: 90): The rolling window used for the Z-Score calculation. Shortening this (e.g., to 30) makes the indicator more sensitive to local volatility; lengthening it (e.g., to 365) aligns it with macro cycles. Noise Threshold (Default: 2.0): The strictness of the filter. Only friction events exceeding this Z-Score will be highlighted in full color. Show Status Table : Toggles the on-screen dashboard. Disclaimer This script is for research and educational purposes only. It relies on third-party on-chain data which may be subject to latency or revision. Past performance of on-chain metrics does not guarantee future price action. Tags bitcoin, btc, on-chain, mvrv, intotheblock, friction, z-score, fundamental, valuation, cycle
Pine Script® indicator
by Rob_Maths
Ellipse Price Action Indicator v3Successful Trade Setup Using Ellipse Price Action Indicator (EPAI) 🔥 With the help of the Ellipse Price Action Indicator, this bearish trade setup played out perfectly. EPAI generated a Sell Signal with a red arrow. According to the EPAI method: 🔹 If price makes a new high on the next candle — add one more unit. 🔹 Every time a new high forms, add one more unit per candle. 🔹 Exit all units at the Moving Average (MA) — this is the core risk-controlled exit rule. This is why EPAI consistently provides successful trade setups when followed with discipline. ⚠ Important Notice — Last Chance! The Ellipse Price Action Indicator (EPAI) will soon become PRIVATE. Access will be restricted only to Premium Members. ✅ First 25 subscribers can use this indicator absolutely FREE. After that, it will not be available publicly.
Pine Script® indicator
by Adijohn
3-Candle Reversal & Retest (Severin-style) v63-Candle Reversal & Retest (Severin-style) What it does Detects a three-candle reversal with a retest entry, then plots compact buy/sell markers anchored to the exact bar and price. Designed for fast execution timeframes (1–5m) but works on any TF. Pattern logic (longs) Approach candle: bearish candle closing above a chosen reference level. Reversal candle: bullish candle with a minimum body size (filters out dojis). Optional requirement that it sweeps the prior low. Retest/entry candle: dips back into a configurable fraction of candle #2’s body and closes bullish (lower wick first). Shorts use the mirror conditions. Reference level (choose one) Manual level – type a price or drag the built-in cyan line. Previous Day High/Low Session VWAP SMA (length input) The approach candle must close on the correct side of this level (above for longs, below for shorts). Signals & visuals Green triangle = 3C Long. Plotted at low − pad ticks. Red triangle = 3C Short. Plotted at high + pad ticks. All markers are price-anchored (bar index + price), so they move with candles when you pan/zoom. Option to keep markers only for the last N bars (prevents “floating” artefacts when the chart rescales). Inputs Reference source (Manual / PDH / PDL / VWAP / SMA) Manual price and draggable line toggle (+ one-click reset) Min body % for reversal candle Require liquidity sweep on candle #2 (on/off) Retest zone fraction of candle #2 body (e.g., 0.5 = lower/upper half) Marker size and padding (in ticks) Retain markers for last N bars Alerts “3C Long Entry” and “3C Short Entry” fire on bar close when the full three-candle pattern is confirmed. How to use Pick your reference. For manual levels, enable the draggable line and place it at your area (PD value area edge, key level, etc.). Trade the first clean signal that forms around that reference, ideally confluencing with structure/flow (VWAP, prior day levels, liquidity pools). Manage risk below/above the retest candle or the reversal candle, not the approach candle. Tips Works best after impulsive moves into a level, not in the middle of chop. Tighten the min body % to avoid weak reversals on slow sessions. On highly volatile alts, increase the retest fraction (e.g., 0.6–0.7) to demand a deeper retest. Notes This is an execution pattern, not a complete system. Add your own higher-timeframe bias and risk rules. Nothing here is financial advice. Use position sizing and stops.
Pine Script® indicator
by Crypto-fuel
Sen Channel LiteSen Channel Lite Sen Channel Lite calculates a robust, median-based regression channel using the Theil–Sen slope method. This visual tool helps traders identify trend direction and potential breakout zones in real time. Key Features Dynamic Trend Line: The median-based regression line adapts to price movement, providing a central reference for trend direction. Upper and Lower Bands: Automatically updated bands highlight potential breakout or reversal areas. Breakout Markers: Optional triangles indicate when price crosses above the upper band or below the lower band. Midline (EMA/SMA): Toggleable trend line for additional context on price direction. VWAP Anchor: Optional VWAP plot to visualize volume-weighted average price levels. Customizable Inputs: Lookback Period for slope calculation Band Multiplier to adjust sensitivity Option to use Standard Deviation or ATR for band width Midline type, length, and color VWAP visibility and color Channel cloud transparency How to Read Signals (Educational Use Only): Trend Context: The midline provides a reference for general trend direction. Price above the midline suggests bullish bias; below indicates bearish bias. Breakouts: Triangle up → price crossed above the upper band; potential strong move upward. Triangle down → price crossed below the lower band; potential strong move downward. Channel Interpretation: Price near the upper band → market may be overextended. Price near the lower band → market may be oversold. Price moving within the channel → trend is balanced; use additional analysis for direction. VWAP Context: Compare price to VWAP for intraday support/resistance insights. Usage Notes: Fully visual tool; no trading or financial advice. All calculations are protected to preserve intellectual property. Results reflect real-time calculations; no repainting. Suitable for intraday to daily timeframes. Important: This script is published as protected/closed-source to safeguard GammaBulldog intellectual property.
Pine Script® indicator
by GammaBulldog
ICT Order Block Identifier [Eˣ]📦 Order Block Identifier Overview The Order Block Identifier automatically detects and displays institutional order blocks on your charts - zones where banks, hedge funds, and market makers place their orders. This indicator helps identify where institutions are likely to defend their positions and where price often finds support or resistance, based on ICT (Inner Circle Trader) concepts. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 What This Indicator Does Detects Order Blocks: • 🟢 Bullish Order Blocks (OB+) - Last bearish candle before strong bullish move • 🔴 Bearish Order Blocks (OB-) - Last bullish candle before strong bearish move • Automatically identifies institutional buying/selling zones • Tracks up to 30 order blocks simultaneously • Works on all timeframes and instruments Smart Features: • Auto-Timeframe Adjustment - Optimizes detection for 1min to Weekly charts • Active Block Highlighting - Shows which OB price is approaching • Touch Tracking - Knows when blocks are tested • ATR-Based Detection - Adapts to each instrument's volatility • Strength Filtering - Choose Low/Medium/High to control sensitivity ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📚 Understanding Order Blocks What Are Order Blocks? Order blocks are the "footprints" left behind by institutional traders (banks, hedge funds, market makers) when they enter large positions. Because institutions can't fill massive orders at once without moving the market, they: 1. Place orders gradually over time 2. Leave zones where their buy/sell orders are concentrated 3. Defend these zones when price returns 4. Create reliable support and resistance levels The ICT Concept: Developed by Michael Huddleston (Inner Circle Trader), order block theory states that: • The last opposite-colored candle before a strong move contains institutional orders • Price often returns to test these zones before continuing • These zones act as strong support (bullish OB) or resistance (bearish OB) • Smart money defends their positions at these levels Why Order Blocks Work: • Unfilled Orders: Institutions may still have pending orders in the block • Position Defense: They protect their entries by adding to positions • Stop Placement: Retail stops cluster near these zones (liquidity for institutions) • Market Structure: Price respects these levels due to order flow dynamics ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🟢 Bullish Order Blocks Explained How They Form: 1. Price is consolidating or declining 2. Institutions begin accumulating (buying) 3. A strong bullish move erupts 4. The last bearish candle before this move = Bullish Order Block 5. This candle represents where institutions were buying aggressively Why The Last Bearish Candle? • Institutions absorbed all selling pressure at this level • Their buy orders filled as price was declining • When price returns, they defend this zone with more buying • It becomes a demand zone / support level Trading Bullish Order Blocks: Setup: • Wait for price to retrace back to bullish OB (green box) • Look for rejection/reversal pattern (pin bar, engulfing, etc.) • Enter long when price bounces from the OB zone • Stop loss: Below the order block • Target: Recent high or opposite order block Best Scenarios: • OB aligns with other support (trendline, fibonacci, round number) • First touch of OB (unmitigated) has highest probability • Occurs during high-volume sessions (London/NY) • Trend is bullish on higher timeframe Example Trade: • Bullish OB forms at $50,000 (last red candle before rally) • Price rallies to $52,000 then retraces • Price drops back to $50,100 (touching OB) • Bullish pin bar forms on the OB • Enter long at $50,200, stop at $49,800 • Target: $52,000+ (previous high) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔴 Bearish Order Blocks Explained How They Form: 1. Price is consolidating or rising 2. Institutions begin distributing (selling) 3. A strong bearish move erupts 4. The last bullish candle before this move = Bearish Order Block 5. This candle represents where institutions were selling aggressively Why The Last Bullish Candle? • Institutions absorbed all buying pressure at this level • Their sell orders filled as price was rising • When price returns, they defend this zone with more selling • It becomes a supply zone / resistance level Trading Bearish Order Blocks: Setup: • Wait for price to retrace back to bearish OB (red box) • Look for rejection/reversal pattern (shooting star, bearish engulfing) • Enter short when price rejects from the OB zone • Stop loss: Above the order block • Target: Recent low or opposite order block Best Scenarios: • OB aligns with other resistance (trendline, fibonacci, round number) • First touch of OB (unmitigated) has highest probability • Occurs during high-volume sessions (London/NY) • Trend is bearish on higher timeframe Example Trade: • Bearish OB forms at $48,000 (last green candle before drop) • Price drops to $46,000 then retraces • Price rallies back to $47,900 (touching OB) • Bearish engulfing forms at the OB • Enter short at $47,800, stop at $48,200 • Target: $46,000- (previous low) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 How To Use This Indicator Strategy 1: Order Block Retest (Classic) Best For: Swing trading, capturing reversals Timeframes: 15min, 1H, 4H, Daily Win Rate: 60-70% (first touch) Entry Rules: 1. Identify unmitigated order block (bright color, not gray) 2. Wait for price to return to the OB zone 3. Look for price action confirmation: • Bullish OB: Pin bar, bullish engulfing, hammer • Bearish OB: Shooting star, bearish engulfing, doji 4. Enter in the direction of the OB 5. Stop loss: Beyond the opposite side of OB (20-30 pips) 6. Target: 2-3R or opposite OB Example: • Bullish OB at $100-$102 • Price drops to $101.50 (enters OB) • Bullish pin bar forms with low at $100.80 • Enter long at $102 (OB high), stop at $99.50 • Risk: $2.50, Target: $107.50 (3R) Strategy 2: Break & Retest Best For: Trend trading, breakout confirmation Timeframes: 5min, 15min, 1H Win Rate: 65-75% Entry Rules: 1. Price breaks through an order block 2. Wait for pullback to the broken OB 3. The OB now acts as support (if broken up) or resistance (if broken down) 4. Enter when price respects the flipped OB 5. Stop: Inside the OB zone 6. Target: Next OB or structure level Why It Works: Broken OBs flip polarity - support becomes resistance and vice versa Strategy 3: Multi-Timeframe Confirmation Best For: High-probability setups Timeframes: Combine 1H + 4H or 15min + 1H Win Rate: 70-80% Entry Rules: 1. Identify order block on higher timeframe (4H or Daily) 2. Switch to lower timeframe (1H or 15min) 3. Wait for lower TF order block to form within higher TF OB 4. Trade the lower TF OB in direction of higher TF OB 5. Stop: Below lower TF OB 6. Target: Edge of higher TF OB or beyond Why It Works: Alignment across timeframes = institutional consensus Strategy 4: Order Block to Order Block Best For: Range trading, swing entries Timeframes: 1H, 4H Win Rate: 55-65% Entry Rules: 1. Identify both bullish OB below and bearish OB above 2. Price is ranging between these OBs 3. Enter long at bullish OB, target bearish OB 4. Enter short at bearish OB, target bullish OB 5. Stop: Beyond the trading OB 6. Exit at opposite OB Why It Works: Price moves from one institutional zone to another Strategy 5: Mitigation Fade Best For: Aggressive scalping Timeframes: 5min, 15min Win Rate: 50-60% (higher risk) Entry Rules: 1. Price approaches an order block 2. Instead of bouncing, price breaks through (mitigates it) 3. Enter immediately in direction of breakout 4. Stop: Back inside the mitigated OB 5. Quick target: 1-1.5R Why It Works: When OB fails, it often leads to strong continuation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Settings Explained Core Settings Auto-Adjust for Timeframe (Default: ON) • Automatically optimizes detection for current chart timeframe • 1min: 3 bars lookback • 5min: 4 bars lookback • 15min: 5 bars lookback • 1H: 6 bars lookback • 4H: 8 bars lookback • Daily+: 10-12 bars lookback • Recommended: Keep ON for best results Manual Detection Length (Default: 5) • Only used when Auto-Adjust is OFF • Number of bars to look back for the "last opposite candle" • Lower (2-4): More sensitive, more blocks, more noise • Higher (6-10): Less sensitive, fewer blocks, higher quality • Recommended: Use Auto-Adjust instead Display Settings Show Bullish/Bearish Order Blocks • Toggle each type on/off independently • Customize colors for each OB type • Tip: Match colors to your chart theme Max Order Blocks to Display (Default: 10) • Limits how many OBs are shown at once • Lower (5-8): Cleaner chart, only recent blocks • Higher (15-30): More historical context • Recommended: 8-12 for most trading Show Order Block Labels (Default: ON) • Displays "OB+" and "OB-" text on blocks • Shows 🎯 on active (nearest) block • Turn OFF for minimal chart appearance • Recommended: Keep ON for clarity Extend Blocks (bars) (Default: 50) • How far to extend OB boxes to the right • Lower (20-30): Shorter boxes, less clutter • Higher (100+): Longer boxes, easier to see • Blocks auto-extend until mitigated or limit reached • Recommended: 40-60 bars Filters Block Strength Filter (Default: Medium) • Controls how strong a move must be to create an OB • Low: 0.5x ATR move required - Many blocks, more noise • Medium: 1x ATR move required - Balanced quality/quantity • High: 1.5x ATR move required - Only strongest institutional moves • Recommended for beginners: High • Recommended for experienced: Medium • Recommended for scalpers: Low Min Block Size % (Default: 0.1) • Minimum size of OB as percentage of price • Filters out tiny, insignificant blocks • Crypto: 0.1-0.3% • Forex: 0.05-0.15% • Stocks: 0.1-0.5% • Adjust based on instrument volatility Advanced Settings Show Mitigated Blocks (Default: OFF) • When ON: Shows gray boxes for "used" order blocks • When OFF: Blocks disappear after mitigation • Use ON: For learning and analysis • Use OFF: For clean, active trading Highlight Active Block (Default: ON) • Highlights the nearest order block to current price • Active block shown with 🎯 emoji and brighter color • Helps focus on most relevant trading opportunity • Recommended: Keep ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Info Panel Guide Bullish OB Count • Number of active (unmitigated) bullish order blocks • Higher number = More support zones below price • Multiple bullish OBs = Strong demand structure Bearish OB Count • Number of active (unmitigated) bearish order blocks • Higher number = More resistance zones above price • Multiple bearish OBs = Strong supply structure Bias Indicator • ⬆ Bullish: More bullish OBs than bearish (demand > supply) • ⬇ Bearish: More bearish OBs than bullish (supply > demand) • ↔ Neutral: Equal OBs on both sides • Trade in direction of bias for higher probability Near Indicator • Shows which OB price is closest to • Displays distance as percentage • Example: "Bull OB 0.85%" = Bullish OB is 0.85% below current price • Watch for "Near" alerts to time entries ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Alert Setup This indicator includes 4 alert types: 1. Price Entering Bullish OB • Fires when price touches a bullish order block • Action: Watch for bounce/reversal pattern • High-probability long setup developing 2. Price Entering Bearish OB • Fires when price touches a bearish order block • Action: Watch for rejection/reversal pattern • High-probability short setup developing 3. New Bullish OB Detected • Fires when a new bullish order block forms • Action: Mark the zone for future retest • New demand zone identified 4. New Bearish OB Detected • Fires when a new bearish order block forms • Action: Mark the zone for future retest • New supply zone identified To Set Up Alerts: 1. Click "Alert" button (clock icon) 2. Select "Order Block Identifier" 3. Choose your alert condition 4. Configure notification method 5. Click "Create" Pro Tip: Set "Price Entering" alerts to catch trading opportunities in real-time ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 Pro Tips & Best Practices ✅ DO: • First touch is best - Unmitigated OBs have highest win rate (60-70%) • Wait for confirmation - Don't buy/sell just because price touched OB • Use multiple timeframes - Higher TF OBs are stronger than lower TF • Combine with structure - OB + trendline/support = high probability • Trade with the bias - More bullish OBs = favor longs • Respect mitigation - Once OB is mitigated, it's less reliable • Use proper stop loss - Always place stops beyond the OB zone • Consider session timing - OBs work best during London/NY sessions ⚠️ DON'T: • Don't blindly buy/sell at OBs - Wait for confirmation • Don't ignore mitigation - Gray blocks are much weaker • Don't trade every OB - Quality over quantity • Don't fight strong trends - OBs can be run through in strong momentum • Don't use alone - Combine with price action, support/resistance • Don't expect 100% win rate - Even best OBs fail sometimes (30-40% of time) • Don't overtrade - Wait for A+ setups with confluence 🎯 Best Timeframes By Trading Style: • Scalpers: 1min, 5min (quick OB touches) • Day Traders: 5min, 15min, 1H (balanced view) • Swing Traders: 1H, 4H, Daily (major institutional zones) • Position Traders: 4H, Daily, Weekly (strongest OBs) 🔥 Best Instruments: • Excellent: Forex major pairs (EUR/USD, GBP/USD), BTC, ETH, ES, NQ • Good: Gold, Oil, Major indices, Large-cap stocks • Moderate: Altcoins, small-cap stocks (more noise) • Avoid: Very low liquidity instruments (OBs less reliable) ⏰ Best Times To Trade OBs: • London Session (03:00-12:00 EST): Highest OB respect rate • NY Session (08:00-17:00 EST): Strong OB reactions • London-NY Overlap (08:00-12:00 EST): Best probability • Asian Session: Lower probability, wait for London ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 Advanced Order Block Concepts Order Block Flips (Polarity Change) When price breaks through an OB and closes beyond it: • Bullish OB that's broken becomes bearish (support becomes resistance) • Bearish OB that's broken becomes bullish (resistance becomes support) • Trading: Watch for retest of broken OB from opposite side Order Block Refinement When multiple OBs form at similar level: • Later OB "refines" or "replaces" the earlier one • Use the most recent OB as the active zone • Older OBs become less relevant Order Block Clusters Multiple OBs stacked close together: • Creates a "super zone" of institutional interest • Higher probability of reversal • Wider zone for entries (more room for confirmation) Fair Value Gaps + Order Blocks When OB aligns with Fair Value Gap: • Extremely high probability setup • Price is drawn to fill the gap AND test the OB • Double confluence = institutional magnet Order Block Mitigation Types • Full Mitigation: Price fully enters and closes inside OB • Partial Mitigation: Price wicks into OB but closes outside • False Mitigation: Quick touch then immediate rejection • Partial/false mitigation = OB still somewhat valid ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 Common Order Block Patterns Pattern 1: The Perfect Retest • OB forms during strong move • Price continues 100-200+ pips • Price retraces back to OB • Clean bounce with confirmation candle • Highest probability pattern Pattern 2: The Double Tap • Price tests OB, bounces weakly • Price tests same OB again • Second test produces stronger reaction • Second touch often better entry Pattern 3: The Fake-Out • Price breaks through OB • Immediately reverses back • "Stop hunt" or liquidity grab • Enter after price reclaims OB Pattern 4: The Ladder • Multiple OBs stacked like stairs • Price steps from one OB to next • Each OB provides support/resistance • Trade OB-to-OB movements Pattern 5: The Failed OB • Price crashes through OB without pause • OB completely invalidated • Often signals strong momentum • Don't fight it, trade the breakout ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 What Makes This Different? Unlike basic support/resistance indicators, Order Block Identifier: • ICT Methodology - Based on proven institutional concepts • Auto-Timeframe Optimization - Works perfectly on all timeframes • ATR-Based Detection - Adapts to each instrument's volatility • Mitigation Tracking - Knows when blocks are no longer valid • Active Block Highlighting - Shows most relevant opportunity • Smart Filtering - Only shows high-quality institutional zones • Visual Clarity - Clean, professional appearance • Real-Time Updates - Blocks update as price action develops Based On Professional Concepts: • ICT Smart Money Concepts (SMC) • Institutional order flow analysis • Market maker behavior patterns • Supply and demand zone theory ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🙏 If You Find This Helpful • ⭐ Leave your feedback • 💬 Share your experience in the comments • 🔔 Follow for updates and new tools Questions about Order Blocks? Feel free to ask in the comments. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Version History • v1.0 - Initial release with auto-timeframe detection and ATR-based strength filtering
Pine Script® indicator
by Exponential-X
Ghost Robo [Bit2Billions]Ghost Robo — Automated Gap-Based Trading System *An intelligent, fully automated trading strategy designed to identify high-probability opportunities using fair-value gaps, volume, and price action—without adding clutter to your chart.* Ghost Robo combines gap detection, volume analysis, and smart entry logic into a single, streamlined system. It executes trades cleanly while offering backtesting, position sizing, alerts, and risk management—all internally. The strategy is engineered to maximize precision and reduce noise, giving traders an actionable, automated trading workflow. Key Features 1. Automatic Gap Analysis * Detects bullish and bearish fair-value gaps internally for trade logic. * Evaluates gap “fill” percentages against configurable thresholds for high-probability entries. 2. Volume-Based Decision Making * Integrates buying and selling activity to assess the strength of each gap. * Filters trades based on real-time volume analysis for reliable execution. 3. Smart Entry Rules * Trades are triggered automatically based on gap characteristics, candle confirmation, and user-defined thresholds. * Queue management and deduplication avoid repeated trades on the same opportunity. 4. Flexible Filters * Conditions include volume, bull/bear balance, gap age, and candle patterns. * Allows traders to tune the strategy for their preferred market conditions. 5. Built-in Risk Management * Stop-loss enforcement, optional trailing stops, and single-position restrictions. * Ensures disciplined execution and controlled risk exposure. 6. Clean, No-Visual Execution * All gap detection and calculations occur internally; charts remain uncluttered. * Ideal for traders who prefer automated logic without additional chart overlays. What Ghost Robo Solves * Automates gap-based trading strategies with precision. * Ensures disciplined entries using multiple filters and predictive gap logic. * Reduces repeated trades and focuses on high-quality opportunities. * Provides a complete system for backtesting, alerts, and position management. Recommended Timeframes & Markets * Timeframes: 15m and higher (15m, 1H, 4H, Daily). Works on intraday but benefits from higher timeframe structure. * Markets: Liquid FX pairs, major crypto, indices, and liquid equities. * Notes: For illiquid instruments, tighten volume filters or use higher timeframes for cleaner signals. Inputs & Settings * Default settings pre-configured * Simple Show/Hide toggles for modules * Minimal exposed fields for ease of use Recommended Timeframes & Markets * Works best on 15M, 1H, 4H, Daily, and higher * Suitable across forex, crypto, indices, and liquid equities * Pivot-based modules may show noise on illiquid assets Performance & Limitations * May draw many objects → disable unused modules for speed * Refresh the chart if historical buffer issues occur * TradingView platform limitations handled internally License & Legal * Proprietary © 2025 * Redistribution, resale, or disclosure prohibited * Independently developed with proprietary extensions * Any resemblance to other tools may result from public-domain concepts Respect & Transparency * Built on widely recognized public trading concepts. * Developed with respect for the TradingView community. * Any overlaps or similarities can be addressed constructively. Disclaimer * Educational purposes only * Not financial advice * Trading carries risk — always use paper testing and proper risk management FAQs * Source code is not public * Works best on 15m, 1H, 4H, Daily, Weekly charts * Modules can be hidden/shown with toggles * Alerts can be set up manually by users * Supports multiple markets: forex, crypto, indices, and equities About Ghost Trading Suite Author: BIT2BILLIONS Project: Ghost Trading Suite © 2025 Indicators: Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow Strategies: Ghost Robo, Ghost Robo Plus Pine Version: V6 The Ghost Trading Suite is designed to simplify and automate many aspects of chart analysis. It helps traders identify market structure, divergences, support and resistance levels, and momentum efficiently, reducing manual charting time. The suite includes several integrated tools — such as Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow, Ghost Robo, and Ghost Robo Plus — each combining analytical modules for enhanced clarity in trend direction, volatility, pivot detection, and momentum tracking. Together, these tools form a cohesive framework that assists in visualizing market behavior, measuring momentum, detecting pivots, and analyzing price structure effectively. This project focuses on providing adaptable and professional-grade tools that turn complex market data into clear, actionable insights for technical analysis. Crafted with 💖 by BIT2BILLIONS for Traders. That's All Folks! Changelog v1.0 – Core Release * Introduced fully automated gap-based strategy using fair-value gaps (FVGs) for trade logic. * Added internal volume analysis to evaluate bullish/bearish strength for each gap. * Implemented smart entry triggers based on gap “fill” percentages. * Added configurable filters for volume, bull/bear balance, age of gap, candle confirmation, and cooldown between trades. * Introduced queue management & deduplication, ensuring only the most relevant gaps are traded and repeated entries are avoided. * Implemented risk management features, including percentage stop-loss, optional trailing stops, and single-position enforcement. * Fully non-visual execution, keeping charts clean while all gap detection and trade calculations happen internally. * Enabled backtesting, position sizing, and alert creation for complete strategy management.
Pine Script® strategy
by bit2billions
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix Version: PineScript™ v6 📌 Description The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions. Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence. The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time. 🚀 Points of Innovation First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence Configurable minimum occurrence threshold filters out statistically insignificant predictions Real-time probability visualization with graphical confidence bars 🔧 Core Components Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern 🔥 Key Features Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge 🎨 Visualization Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification Customizable Table Position: Place probability display in any corner of your chart 📖 Usage Guidelines N-Gram Configuration N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data. Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior. Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability. SMC Detection Settings Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis. FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps. Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations. Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points. Display Settings Show Probability Table: Toggle the probability matrix display on/off. Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display. Show SMC Markers: Toggle on-chart pattern labels. ✅ Best Use Cases Anticipating continuation or reversal patterns after liquidity sweeps Identifying high-probability BOS/CHoCH sequences for trend trading Filtering FVG and Order Block signals based on historical follow-through rates Building confluence by comparing predicted patterns with other technical analysis Studying how SMC patterns typically sequence on specific instruments or timeframes ⚠️ Limitations Predictions are based solely on historical pattern frequency and do not account for fundamental factors Low sample counts produce unreliable probabilities—always check the Samples display Market regime changes can invalidate historical transition patterns The indicator requires sufficient historical data to build meaningful probability matrices Pattern detection uses standardized parameters that may not capture all institutional activity 💡 What Makes This Unique Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework 🔬 How It Works 1. Pattern Detection Phase Each bar is analyzed for SMC formations using configurable detection parameters A priority hierarchy assigns the most significant pattern when multiple detections occur 2. Sequence Encoding Phase Detected patterns are stored in a rolling history buffer of recent classifications The current N-gram context is encoded into a unique integer identifier 3. Matrix Construction Phase Historical pattern sequences are iterated to count transition occurrences Each context-to-next-pattern transition increments the appropriate matrix cell 4. Probability Calculation Phase Current context ID retrieves corresponding transition counts from the matrix Raw counts are converted to percentages based on total context occurrences 5. Visualization Phase Probabilities are sorted and the top N predictions are displayed in the table Chart markers identify the current detected pattern for visual reference 💡 Note: This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
Pine Script® indicator
by PhenLabs
Advanced Volume Suite (24h, Pulse, Spikes, Breakout Pressure)Advanced Volume Suite transforms raw volume into a complete market-intelligence toolkit for breakout, momentum, and liquidity-driven trading. Unlike the basic volume indicator, this tool analyzes volume in true USDT value, tracks rolling 24h exchange-style volume, measures volume strength vs historical averages, detects smart spikes, and highlights breakout pressure near support/resistance. Core Features: • USDT-based volume histogram • 24h rolling volume line • Volume Pulse (volume vs moving average) • Smart spike detection with directional filters • Breakout pressure system (breakouts + near-breakout conditions) • 3 advanced volume color modes (Simple / Body / Delta-style) • All signals and thresholds fully configurable Perfect for traders who rely on volume confirmation for breakouts, momentum entries, scalping, or detecting institutional activity.
Pine Script® indicator
by zalutskyiyuriy
2
Hemanth's Pure Z-Score IndicatorThe Pure Z-Score Indicator is a statistical tool that measures how far the current price is from its recent average in terms of standard deviations. It helps traders identify overbought, oversold, and mean-reverting conditions in the market. This indicator is fully customizable, lightweight, and easy to use. Key Features: Displays the Z-Score of the price with optional smoothing. Highlights overbought and oversold zones based on standard deviation thresholds. Highlights mean (0) level for tracking price reversion. Optional SMA or EMA smoothing to reduce noise. Background highlights visually indicate extreme zones for easier analysis. Inputs: Length – Number of bars used to calculate the Z-Score. Higher values smooth the indicator but react slower. Lower values make it more sensitive but may produce more noise. Overbought Level – Upper threshold for the Z-Score. Default: 2.0 (2 standard deviations above the mean). Crossing above this level signals a statistically overbought condition. Oversold Level – Lower threshold for the Z-Score. Default: -2.0 (2 standard deviations below the mean). Crossing below this level signals a statistically oversold condition. Use EMA instead of SMA – Determines whether the basis for Z-Score calculation is an Exponential Moving Average (EMA) or a Simple Moving Average (SMA). EMA reacts faster to recent price changes. SMA gives a smoother, slower-reacting average. Smooth Z-Score (0 = no smoothing) – Apply additional smoothing to the Z-Score using a moving average. Reduces noise and false spikes for cleaner visualization. How to Use: Overbought/Oversold: Watch for the Z-Score crossing the upper or lower levels to identify potential reversal zones. Mean Reversion: Z-Score crossing the mean (0) can indicate short-term trend shifts. Smoothing Options: Adjust the smoothing length and type to suit your trading style and timeframe. Recommended Timeframes: Works on any timeframe; suitable for day trading, swing trading, or longer-term analysis. Best used in combination with price action or other indicators for confirmation. Note: This is a pure statistical indicator based on standard deviations. It does not provide buy/sell signals by itself, but helps traders identify areas of extreme price movement and potential reversals.
Pine Script® indicator
by GHemanth04