התחל

תבניות גרפים

Multi-Candle Reversal ConfirmationMulti-Candle Reversal Confirmation (MCRC) This indicator identifies potential price reversals using a 3-candle confirmation pattern. It filters out noise by requiring a significant prior trend before signaling, helping you catch turning points rather than getting trapped in choppy price action. How It Works The indicator uses a three-step process to confirm reversals: Candle 1 (Rejection) - Detects a rejection candle after a sustained move. This includes hammer/shooting star patterns with long wicks, doji candles showing indecision, or stall candles with unusually small bodies. Candle 2 (Reversal) - Confirms the candle closes in the opposite direction of the prior trend. Candle 3 (Confirmation) - Validates the reversal by either continuing in the new direction or breaking the high/low of the previous candle. Key Features Requires a significant prior trend before looking for reversals (no signals in choppy, sideways markets) Uses ATR to measure move significance, adapting to current volatility Marks rejection candles with small circles for early awareness Confirmed signals shown as triangles with Bull/Bear labels Built-in alerts for all signal types Settings Wick to Body Ratio - How pronounced the rejection wick must be compared to the candle body (default: 2.0) Doji Threshold - Maximum body size relative to total range to qualify as a doji (default: 0.1) Trend Lookback - Number of candles to analyze for prior trend detection (default: 5) Trend Strength - Percentage of lookback candles required in trend direction (default: 0.6 = 60%) Minimum Move (ATR multiple) - How large the prior move must be before signaling (default: 1.5) Show Bullish/Bearish - Toggle each signal type on or off Visual Signals Small Circle - Marks potential rejection candles (first candle in the pattern) Green Triangle (Bull) - Confirmed bullish reversal signal Red Triangle (Bear) - Confirmed bearish reversal signal Alerts Three alert options are available: Bullish Reversal Confirmed Bearish Reversal Confirmed Any Reversal Confirmed How To Set Up Alerts Add the indicator to your chart Right-click on the chart and select "Add Alert" (or press Alt+A) In the Condition dropdown, select "Multi-Candle Reversal Confirmation" Choose your preferred alert type Set notification preferences (popup, email, sound, webhook) Click "Create" Tips For Best Results Combine with key support/resistance levels for higher probability trades Use higher timeframe trend direction as a filter Adjust Trend Lookback based on your timeframe (higher for longer timeframes) Increase Minimum Move ATR in volatile conditions to reduce false signals Signals appearing near VWAP, moving averages, or prior day levels tend to be more reliable Note: This indicator is for informational purposes only and should not be used as the sole basis for trading decisions. Always use proper risk management and consider combining with other forms of analysis.
אינדיקטור Pine Script®
מאת ‎GraCB‎
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.
אינדיקטור Pine Script®
מאת ‎pc75‎
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
אינדיקטור Pine Script®
מאת ‎Exponential-X‎
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.
אינדיקטור Pine Script®
מאת ‎PhenLabs‎
ATR + BJ Signal（GOLD）This script visualizes a price-based counting pattern that highlights potential market exhaustion and reversal areas. When a series of candles continues in one direction, the indicator measures price momentum loss and marks possible turning points. Features Counts consecutive upward or downward price movement Highlights possible exhaustion or reversal areas Optional alerts, take-profit and stop-loss visual levels Fully customizable colors and display settings Useful as a confirmation tool with trend or volume indicators This indicator is designed to assist decision-making, not to generate mechanical buy/sell signals. Best used together with other trend or volatility tools. 📎 Short Description (for compact field) Counts consecutive price movement to highlight potential market exhaustion and reversal zones. Helps identify when strong trends may be weakening.
אינדיקטור Pine Script®
מאת ‎masato19810122‎
猛の掟・初動完成版//@version=5 indicator("猛の掟・初動スクリーナー_完成版", overlay=true) // ============================= // 入力パラメータ // ============================= emaLenShort = input.int(5, "短期EMA", minval=1) emaLenMid = input.int(13, "中期EMA", minval=1) emaLenLong = input.int(26, "長期EMA", minval=1) macdFastLen = input.int(12, "MACD Fast", minval=1) macdSlowLen = input.int(26, "MACD Slow", minval=1) macdSignalLen = input.int(9, "MACD Signal", minval=1) macdZeroTh = input.float(0.2, "MACDゼロライン近辺とみなす許容値", step=0.05) volMaLen = input.int(5, "出来高平均日数", minval=1) volMinRatio = input.float(1.3, "出来高倍率(初動判定しきい値)", step=0.1) volStrongRatio = input.float(1.5, "出来高倍率(本物/三点シグナル用)", step=0.1) highLookback = input.int(60, "直近高値の参照本数", minval=10) pullbackMin = input.float(5.0, "押し目最小 ", step=0.5) pullbackMax = input.float(15.0, "押し目最大 ", step=0.5) breakLookback = input.int(15, "レジブレ後とみなす本数", minval=1) wickBodyMult = input.float(2.0, "ピンバー:下ヒゲが実体の何倍以上か", step=0.5) // ★ シグナル表示 ON/OFF showMou = input.bool(true, "猛シグナルを表示") showKaku = input.bool(true, "確シグナルを表示") // ============================= // 基本指標計算 // ============================= emaShort = ta.ema(close, emaLenShort) emaMid = ta.ema(close, emaLenMid) emaLong = ta.ema(close, emaLenLong) = ta.macd(close, macdFastLen, macdSlowLen, macdSignalLen) volMa = ta.sma(volume, volMaLen) volRatio = volMa > 0 ? volume / volMa : 0.0 recentHigh = ta.highest(high, highLookback) prevHigh = ta.highest(high , highLookback) pullbackPct = recentHigh > 0 ? (recentHigh - close) / recentHigh * 100.0 : 0.0 // ローソク足 body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low // ============================= // A：トレンド条件 // ============================= emaUp = emaShort > emaShort and emaMid > emaMid and emaLong > emaLong goldenOrder = emaShort > emaMid and emaMid > emaLong aboveEma2 = close > emaLong and close > emaLong trendOK = emaUp and goldenOrder and aboveEma2 // ============================= // B：MACD条件 // ============================= macdGC = ta.crossover(macdLine, macdSignal) macdNearZero = math.abs(macdLine) <= macdZeroTh macdUp = macdLine > macdLine macdOK = macdGC and macdNearZero and macdUp // ============================= // C：出来高条件 // ============================= volInitOK = volRatio >= volMinRatio // 8条件用 volStrongOK = volRatio >= volStrongRatio // 三点シグナル用 volumeOK = volInitOK // ============================= // D：ローソク足パターン // ============================= isBullPinbar = lowerWick > wickBodyMult * body and lowerWick > upperWick and close >= open isBullEngulf = close > open and open < close and close > open isBigBullCross = close > emaShort and close > emaMid and open < emaShort and open < emaMid and close > open candleOK = isBullPinbar or isBullEngulf or isBigBullCross // ============================= // E：価格帯（押し目＆レジブレ） // ============================= pullbackOK = pullbackPct >= pullbackMin and pullbackPct <= pullbackMax isBreakout = close > prevHigh and close <= prevHigh barsSinceBreak = ta.barssince(isBreakout) afterBreakZone = barsSinceBreak >= 0 and barsSinceBreak <= breakLookback afterBreakPullbackOK = afterBreakZone and pullbackOK and close > emaShort priceOK = pullbackOK and afterBreakPullbackOK // ============================= // 8条件の統合 // ============================= allRulesOK = trendOK and macdOK and volumeOK and candleOK and priceOK // ============================= // 最終三点シグナル // ============================= longLowerWick = lowerWick > wickBodyMult * body and lowerWick > upperWick macdGCAboveZero = ta.crossover(macdLine, macdSignal) and macdLine > 0 volumeSpike = volStrongOK finalThreeSignal = longLowerWick and macdGCAboveZero and volumeSpike buyConfirmed = allRulesOK and finalThreeSignal // ============================= // 描画 // ============================= plot(emaShort, color=color.new(color.yellow, 0), title="EMA 短期(5)") plot(emaMid, color=color.new(color.orange, 0), title="EMA 中期(13)") plot(emaLong, color=color.new(color.blue, 0), title="EMA 長期(26)") // シグナル表示（ON/OFF付き） plotshape(showMou and allRulesOK, title="猛の掟 8条件クリア候補", location=location.belowbar, color=color.new(color.lime, 0), text="猛") plotshape(showKaku and buyConfirmed, title="猛の掟 最終三点シグナル確定", location=location.belowbar, color=color.new(color.yellow, 0), text="確") // ============================= // アラート条件 // ============================= alertcondition(allRulesOK, title="猛の掟 8条件クリア候補", message="猛の掟 8条件クリア候補シグナル発生") alertcondition(buyConfirmed, title="猛の掟 最終三点シグナル確定", message="猛の掟 最終三点シグナル＝買い確定")
אינדיקטור Pine Script®
מאת ‎morishima0ut6b‎
Stochastic + MACD Alignment Signals//@version=5 indicator("Stochastic + MACD Alignment Signals", overlay=true) // ————— INPUTS ————— stochLength = input.int(14, "Stoch Length") k = input.int(3, "K Smoothing") d = input.int(3, "D Smoothing") macdFast = input.int(12, "MACD Fast Length") macdSlow = input.int(26, "MACD Slow Length") macdSignal = input.int(9, "MACD Signal Length") emaLen = input.int(21, "EMA Filter Length") // ————— CALCULATIONS ————— // Stochastic kRaw = ta.stoch(close, high, low, stochLength) kSmooth = ta.sma(kRaw, k) dSmooth = ta.sma(kSmooth, d) // MACD macd = ta.ema(close, macdFast) - ta.ema(close, macdSlow) signal = ta.ema(macd, macdSignal) hist = macd - signal // EMA Filter ema = ta.ema(close, emaLen) // ————— SIGNAL CONDITIONS ————— // BUY CONDITIONS stochBull = ta.crossover(kSmooth, dSmooth) and kSmooth < 20 macdBull = ta.crossover(macd, signal) or (hist > 0) emaBull = close > ema buySignal = stochBull and macdBull and emaBull // SELL CONDITIONS stochBear = ta.crossunder(kSmooth, dSmooth) and kSmooth > 80 macdBear = ta.crossunder(macd, signal) or (hist < 0) emaBear = close < ema sellSignal = stochBear and macdBear and emaBear // ————— PLOTTING SIGNALS ————— plotshape(buySignal, title="BUY", style=shape.labelup, color=color.new(color.green, 0), size=size.large, text="BUY") plotshape(sellSignal, title="SELL", style=shape.labeldown, color=color.new(color.red, 0), size=size.large, text="SELL") // ————— OPTIONAL ALERTS ————— alertcondition(buySignal, title="Buy Signal", message="Stoch + MACD Alignment BUY") alertcondition(sellSignal, title="Sell Signal", message="Stoch + MACD Alignment SELL")
אינדיקטור Pine Script®
מאת ‎jcuria03‎
猛の掟・初動スクリーナー v3//@version=5 indicator("猛の掟・初動スクリーナー v3", overlay=true) // =============================== // 1. 移動平均線（EMA）設定 // =============================== ema5 = ta.ema(close, 5) ema13 = ta.ema(close, 13) ema26 = ta.ema(close, 26) plot(ema5, title="EMA5", color=color.orange, linewidth=2) plot(ema13, title="EMA13", color=color.new(color.blue, 0), linewidth=2) plot(ema26, title="EMA26", color=color.new(color.gray, 0), linewidth=2) // =============================== // 2. MACD（10,26,9）設定 // =============================== fast = ta.ema(close, 10) slow = ta.ema(close, 26) macd = fast - slow signal = ta.ema(macd, 9) macdBull = ta.crossover(macd, signal) // =============================== // 3. 初動判定ロジック // =============================== // ゴールデン並び条件 goldenAligned = ema5 > ema13 and ema13 > ema26 // ローソク足が26EMAより上 priceAbove26 = close > ema26 // 3条件すべて満たすと「確」 bullEntry = goldenAligned and priceAbove26 and macdBull // =============================== // 4. スコア（0=なし / 1=猛 / 2=確） // =============================== score = bullEntry ? 2 : (goldenAligned ? 1 : 0) // =============================== // 5. スコアの色分け // =============================== scoreColor = score == 2 ? color.new(color.yellow, 0) : score == 1 ? color.new(color.lime, 0) : color.new(color.gray, 80) // =============================== // 6. スコア表示（カラム） // =============================== plot(score, title="猛スコア (0=なし,1=猛,2=確)", style=plot.style_columns, color=scoreColor, linewidth=3) // 目安ライン hline(0, "なし", color=color.new(color.gray, 80)) hline(1, "猛", color=color.new(color.lime, 60)) hline(2, "確", color=color.new(color.yellow, 60)) // =============================== // 7. チャート上に「確」ラベル // =============================== plotshape(score == 2, title="初動確定", style=shape.labelup, text="確", color=color.yellow, textcolor=color.black, size=size.tiny, location=location.belowbar)
אינדיקטור Pine Script®
מאת ‎morishima0ut6b‎
MC² Tight Compression Screener v1.0//@version=5 indicator("MC² Tight Compression Screener v1.0", overlay=false) // ———————————————— // Inputs // ———————————————— lookbackHigh = input.int(50, "Near High Lookback") atrLength = input.int(14, "ATR Length") volLength = input.int(20, "Volume SMA Length") thresholdNear = input.float(0.97, "Near Break % (0.97 = within 3%)") // ———————————————— // Conditions // ———————————————— // ATR Compression: shrinking 3 days in a row atr = ta.atr(atrLength) atrCompression = atr < atr and atr < atr and atr < atr // Price is near recent highs recentHigh = ta.highest(high, lookbackHigh) nearBreak = close > recentHigh * thresholdNear // Volume not dead (preferably building) volAvg = ta.sma(volume, volLength) volOK = volume > volAvg // Final signal (binary) signal = atrCompression and nearBreak and volOK // ———————————————— // Plot (for Pine Screener) // ———————————————— plot(signal ? 1 : 0, title="MC2 Compression Signal")
אינדיקטור Pine Script®
מאת ‎mason_fibkins‎
30-Minute High and Low30-Minute High and Low Levels This indicator plots the previous 30-minute candle’s high and low on any intraday chart. These levels are widely used by intraday traders to identify key breakout zones, liquidity pools, micro-range boundaries, and early trend direction. Features: • Automatically pulls the previous 30-minute candle using higher-timeframe HTF requests • Displays the HTF High (blue) and HTF Low (red) on lower-timeframe charts • Works on all intraday timeframes (1m, 3m, 5m, 10m, etc.) • Levels stay fixed until the next 30-minute bar completes • Ideal for ORB strategies, scalping, liquidity sweeps, and reversal traps Use Cases: • Watch for breakouts above the 30-minute high • Monitor for liquidity sweeps and fakeouts around the high/low • Treat the mid-range as a magnet during consolidation • Combine with VWAP or EMA trend structure for high-precision intraday setups This indicator is simple, fast, and designed for traders who rely on HTF micro-structure to guide intraday execution.
אינדיקטור Pine Script®
מאת ‎MomentumCraft_‎
Golden Cross RSI Daily Helper (US Stocks)//@version=5 indicator("Golden Cross RSI Daily Helper (US Stocks)", overlay=true, timeframe="D", timeframe_gaps=true) //========= الإعدادات الأساسية =========// emaFastLen = input.int(50, "EMA سريع (اتجاه قصير المدى)") emaSlowLen = input.int(200, "EMA بطيء (اتجاه طويل المدى)") rsiLen = input.int(14, "فترة RSI") rsiMin = input.float(40.0, "حد RSI الأدنى للدخول", 0.0, 100.0) rsiMax = input.float(60.0, "حد RSI الأعلى للدخول", 0.0, 100.0) slBufferPerc = input.float(1.5, "نسبة البفر لوقف الخسارة (%) أسفل/أعلى EMA200", 0.1, 5.0) rrRatio = input.float(2.0, "نسبة العائد إلى المخاطرة (R:R)", 1.0, 5.0) //========= حساب المؤشرات =========// emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) rsiVal = ta.rsi(close, rsiLen) // اتجاه السوق trendUp = emaFast > emaSlow trendDown = emaFast < emaSlow // ارتداد السعر من EMA50 أو EMA200 تقريبياً bounceFromEmaFast = close > emaFast and low <= emaFast bounceFromEmaSlow = close > emaSlow and low <= emaSlow bounceLong = bounceFromEmaFast or bounceFromEmaSlow bounceFromEmaFastShort = close < emaFast and high >= emaFast bounceFromEmaSlowShort = close < emaSlow and high >= emaSlow bounceShort = bounceFromEmaFastShort or bounceFromEmaSlowShort // فلتر RSI rsiOk = rsiVal >= rsiMin and rsiVal <= rsiMax //========= شروط الدخول =========// // شراء longSignal = trendUp and bounceLong and rsiOk // بيع shortSignal = trendDown and bounceShort and rsiOk //========= حساب وقف الخسارة والأهداف =========// // نستخدم سعر إغلاق شمعة الإشارة كسعر دخول افتراضي entryPriceLong = close entryPriceShort = close // وقف الخسارة حسب EMA200 + البفر slLong = emaSlow * (1.0 - slBufferPerc / 100.0) slShort = emaSlow * (1.0 + slBufferPerc / 100.0) // المسافة بين الدخول ووقف الخسارة riskLong = math.max(entryPriceLong - slLong, syminfo.mintick) riskShort = math.max(slShort - entryPriceShort, syminfo.mintick) // هدف الربح حسب R:R tpLong = entryPriceLong + rrRatio * riskLong tpShort = entryPriceShort - rrRatio * riskShort //========= الرسم على الشارت =========// // رسم المتوسطات plot(emaFast, title="EMA 50", color=color.new(color.blue, 0), linewidth=2) plot(emaSlow, title="EMA 200", color=color.new(color.orange, 0), linewidth=2) // تلوين الخلفية حسب الاتجاه bgcolor(trendUp ? color.new(color.green, 92) : trendDown ? color.new(color.red, 92) : na) // إشارة شراء plotshape( longSignal, title = "إشارة شراء", style = shape.triangleup, location = location.belowbar, size = size.large, color = color.new(color.green, 0), text = "BUY") // إشارة بيع plotshape( shortSignal, title = "إشارة بيع", style = shape.triangledown, location = location.abovebar, size = size.large, color = color.new(color.red, 0), text = "SELL") // رسم SL و TP عند ظهور الإشارة slPlotLong = longSignal ? slLong : na tpPlotLong = longSignal ? tpLong : na slPlotShort = shortSignal ? slShort : na tpPlotShort = shortSignal ? tpShort : na plot(slPlotLong, title="وقف خسارة شراء", color=color.new(color.red, 0), style=plot.style_linebr) plot(tpPlotLong, title="هدف شراء", color=color.new(color.green, 0), style=plot.style_linebr) plot(slPlotShort, title="وقف خسارة بيع", color=color.new(color.red, 0), style=plot.style_linebr) plot(tpPlotShort, title="هدف بيع", color=color.new(color.green, 0), style=plot.style_linebr) //========= إعداد التنبيهات =========// alertcondition(longSignal, title="تنبيه إشارة شراء", message="إشارة شراء: ترند صاعد + ارتداد من EMA + RSI في المنطقة المسموحة.") alertcondition(shortSignal, title="تنبيه إشارة بيع", message="إشارة بيع: ترند هابط + ارتداد من EMA + RSI في المنطقة المسموحة.")
אינדיקטור Pine Script®
מאת ‎lexur_m‎
MC² Pullback Screener v1.01//@version=5 indicator("MC² Pullback Screener v1.01", overlay=false) //---------------------------------------------------- // 🔹 PARAMETERS //---------------------------------------------------- lenTrend = input.int(20, "SMA Trend Length") relVolLookback = input.int(10, "Relative Volume Lookback") minRelVol = input.float(0.7, "Min Relative Volume on Pullback") maxSpikeVol = input.float(3.5, "Max Spike Vol (Reject News Bars)") pullbackBars = input.int(3, "Pullback Lookback Bars") //---------------------------------------------------- // 🔹 DATA //---------------------------------------------------- // Moving averages for trend direction sma20 = ta.sma(close, lenTrend) sma50 = ta.sma(close, 50) // Relative Volume volAvg = ta.sma(volume, relVolLookback) relVol = volume / volAvg // Trend condition uptrend = close > sma20 and sma20 > sma50 //---------------------------------------------------- // 🔹 BREAKOUT + PULLBACK LOGIC //---------------------------------------------------- // Recent breakout reference recentHigh = ta.highest(close, 10) isBreakout = close > recentHigh // Pullback logic nearSupport = close > recentHigh * 0.98 and close < recentHigh * 1.02 lowVolPullback = relVol < minRelVol // Reject single-bar news spike rejectSpike = relVol > maxSpikeVol //---------------------------------------------------- // 🔹 ENTRY SIGNAL //---------------------------------------------------- pullbackSignal = uptrend and lowVolPullback and nearSupport and not rejectSpike //---------------------------------------------------- // 🔹 SCREENER OUTPUT //---------------------------------------------------- // Pine Screener expects a plot output plot(pullbackSignal ? 1 : 0, title="MC² Pullback Signal", style=plot.style_columns, color=pullbackSignal ? color.green : color.black)
אינדיקטור Pine Script®
מאת ‎mason_fibkins‎
Cold Brew Ranges🧭 Core Logic and Calculation The fundamental logic for each range (OR and CR) is identical: Time Definition: Each range is defined by a specific Start Time and a fixed 30-second duration. The timestamp function, using the "America/New_York" time zone, is used to calculate the exact start time in Unix milliseconds for the current day. Example: t0200 = timestamp(TZ, yC, mC, dC, 2, 0, 0) sets the start time for the 02:00 OR to 2:00:00 AM NY time. Range Data Collection: The indicator uses the request.security_lower_tf() function to collect the High (hArr) and Low (lArr) prices of all bars that fall within the defined 30-second window, using a user-specified, sub-chart-timeframe (openrangetime, defaulted to "1" second, "30S", or "5" minutes). This ensures high precision in capturing the exact high and low during the 30-second window. High/Low Determination: It iteratively finds the absolute highest price (OR_high) and the absolute lowest price (OR_low) recorded by the bars during that 30-second window. Range Locking: Once the current chart bar's time (lastTs) passes the 30-second End Time (tEnd), the High and Low are locked (OR_locked = true), meaning the range calculation is complete for the day. Drawing: Upon locking, the range is drawn on the chart using line.new for the High, Low, and Equilibrium, and box.new for the shaded fill. The lines are extended to a subsequent time anchor point (e.g., the 02:00 OR is extended to 08:20, the 09:30 OR is extended to 16:00). Equilibrium (EQ): This is calculated as the simple average (midpoint) of the High and Low of the range. EQ= 2 OR_High+OR_Low ​ ⏰ Defined Trading Ranges The indicator defines and tracks the following specific 30-second ranges: Range Name Type Start Time (NY) Line Extension End Time (NY) Common Market Context 02:00 OR Opening 02:00:00 08:20:00 Asian/European Market Overlap 08:20 OR Opening 08:20:00 16:00:00 Pre-New York Open 09:30 OR Opening 09:30:00 16:00:00 New York Stock Exchange Open (Most significant OR) 18:00 OR Opening 18:00:00 20:00:00 Futures Market Open (Sunday/Monday) 20:00 OR Opening 20:00:00 Next Day's session start Asian Session Start 15:50 CR Closing 15:50:00 20:00:00 New York Close Range ⚙️ Key User Inputs and Customization The script offers extensive control over which ranges are displayed and how they are visualized: Range Time & History openrangetime: Sets the sub-timeframe (e.g., "1" for 1 second) used to calculate the precise High/Low of the 30-second range. Crucial for accuracy. showHistory: A toggle to show the ranges from previous days (up to a histCap of 50 days). Range Toggles and Styling On/Off Toggles: Independent input.bool (e.g., OR_0200_on) to enable or disable the display of each individual range. Colors & Width: Separate color and width inputs for the High/Low lines (hlC), the Equilibrium line (eqC), and the background fill (fillC) for each range. Line Styles: Global inputs for the line styles of High/Low (lineStyleInput) and Equilibrium (eqLineStyleInput) lines (Solid, Dotted, or Dashed). showFill: Global toggle to enable the shaded background box that highlights the area between the High and Low. Extensions The script calculates and plots extensions (multiples of the initial range) above the High and below the Low. showExt: Toggles the visibility of the extension lines. useRangeMultiples: If true, the step size for each extension level is equal to the initial range size: Step=Range=OR_High−OR_Low If false, the step size is a fixed value defined by stepPts (e.g., 60.0 points, which is a common value for NQ futures). stepCnt: Determines how many extension levels (multiples) are drawn above and below the range (default is 10). 📈 Trading Strategy Implications The Cold Brew Ranges indicator is a tool for session-based support and resistance and range breakout/reversal strategies. Key Support/Resistance: The High and Low of these defined opening ranges often act as strong, predefined price levels. Traders look for price rejection off these boundaries or a breakout with conviction. Equilibrium (Midpoint): The EQ often represents a fair value for that specific session's opening. Movements away from it are seen as opportunities, and a return to it is common. Extensions: The range extensions serve as potential profit targets or stronger, layered support/resistance levels if the market trends aggressively after the opening range is set. The core idea is that the activity in the first 30 seconds of a significant trading session (like the NYSE or a market session open) sets a bias and initial boundary for the trading period that follows.
אינדיקטור Pine Script®
מאת ‎noprocess‎
2
ATR ZigZag - Volatility-Filtered Market StructureDescription This indicator draws ZigZags using an ATR based threshold for direction switching to identify major swing highs and lows. Instead of relying on fractals or fixed bar-count swings, pivots are confirmed only when price moves beyond the prior extreme by: threshold = ATR(length) × ATR_mult This filters noise, enforces valid swing structure (high → low → high), and adapts automatically to volatility. The ATR ZigZag is ideal for traders who want a clean, objective view of swing structure without noise. This has many uses, including mapping swing structure, drawing chart patterns, and trading around extremes. Lag and Repainting Pivots are confirmed only after price moves sufficiently in the opposite direction. This creates necessary lag. The ZigZag is drawn when this occurs, and will anchor to the high/low in the past. Optional detection dot plots show exactly when confirmation occurred. What You See ZigZag: dashed gray line, repainted to anchor at the confirmed highs and lows Latest Pivot Levels: Dashed horizontal lines at the most recent confirmed high/low. Optional Live Swing Leg: A real-time line from the last confirmed pivot to the current swing extreme, updating until a new pivot forms. Optional ATR Boxes: 1×ATR shaded zones around the latest pivot for structural context. Optional Pivot Confirmation Dots: Markers show the bar where the threshold is crossed and a swing is officially confirmed. This is to understand the lag and see when the ZigZag repainted.
אינדיקטור Pine Script®
מאת ‎ReflexSignals‎
Green Day or Red Day?What it is: This simple indicator provides immediate visual context by tinting the background of your chart Green or Red based on the asset's daily performance. Who's it for? It is designed for day traders and scalpers who operate on lower timeframes (1m, 5m, 15m) but need to remain aware of the overall daily direction without switching charts. It can be used in combination with the ORB strategy as a helpful tool to "feel" the trend when you're way out of the ORB range. But this indicator can be used by anyone regardless of trading style. How it works: This script pulls data from the daily timeframe regardless of the chart interval you are currently viewing. It compares the current price to a user-selectable reference point (either Yesterday's Close or Today's Open) to determine the background color. Good Luck. May you make good trades!
אינדיקטור Pine Script®
מאת ‎drtrade‎
FOR CRT SMT – 4 CANDLEFOR CRT SMT – 4 CANDLE Indicator This indicator detects SMT (Smart Money Technique) divergence by comparing the last 4 candle highs and lows of two different assets. Originally designed for BTC–ETH comparison, but it works on any market, including Forex pairs. You can open EURUSD on the chart and select GBPUSD from the settings, and the indicator will detect SMT divergence between EUR and GBP the same way it does between BTC and ETH. This makes it useful for analyzing correlated markets across crypto, forex, and more. 🔴 Upper SMT (Bearish Divergence – Red) Occurs when: The main chart asset makes a higher high, The comparison asset makes a lower high. This may signal a liquidity grab and potential reversal. 🟢 Lower SMT (Bullish Divergence – Green) Occurs when: The main chart asset makes a lower low, The comparison asset makes a higher low. This may indicate the market is sweeping liquidity before reversing upward. 📌 Features Uses the last 4 candles of both assets. Automatically draws divergence lines. Shows clear “SMT ↑” or “SMT ↓” labels. Works on Crypto, Forex, and all correlated assets.
אינדיקטור Pine Script®
מאת ‎by_gokcebey‎
Reversal WaveThis is the type of quantitative system that can get you hated on investment forums, now that the Random Walk Theory is back in fashion. The strategy has simple price action rules, zero over-optimization, and is validated by a historical record of nearly a century on both Gold and the S&P 500 index. Recommended Markets SPX (Weekly, Monthly) SPY (Monthly) Tesla (Weekly) XAUUSD (Weekly, Monthly) NVDA (Weekly, Monthly) Meta (Weekly, Monthly) GOOG (Weekly, Monthly) MSFT (Weekly, Monthly) AAPL (Weekly, Monthly) System Rules and Parameters Total capital: $10,000 We will use 10% of the total capital per trade Commissions will be 0.1% per trade Condition 1: Previous Bearish Candle (isPrevBearish) (the closing price was lower than the opening price). Condition 2: Midpoint of the Body The script calculates the exact midpoint of the body of that previous bearish candle. • Formula: (Previous Open + Previous Close) / 2. Condition 3: 50% Recovery (longCondition) The current candle must be bullish (green) and, most importantly, its closing price must be above the midpoint calculated in the previous step. Once these parameters are met, the system executes a long entry and calculates the exit parameters: Stop Loss (SL): Placed at the low of the candle that generated the entry signal. Take Profit (TP): Calculated by projecting the risk distance upward. • Calculation: Entry Price + (Risk * 1). Risk:Reward Ratio of 1:1. About the Profit Factor In my experience, TradingView calculates profits and losses based on the percentage of movement, which can cause returns to not match expectations. This doesn’t significantly affect trending systems, but it can impact systems with a high win rate and a well-defined risk-reward ratio. It only takes one large entry candle that triggers the SL to translate into a major drop in performance. For example, you might see a system with a 60% win rate and a 1:1 risk-reward ratio generating losses, even though commissions are under control relative to the number of trades. My recommendation is to manually calculate the performance of systems with a well-defined risk-reward ratio, assuming you will trade using a fixed amount per trade and limit losses to a fixed percentage. Remember that, even if candles are larger or smaller in size, we can maintain a fixed loss percentage by using leverage (in cases of low volatility) or reducing the capital at risk (when volatility is high). Implementing leverage or capital reduction based on volatility is something I haven’t been able to incorporate into the code, but it would undoubtedly improve the system’s performance dramatically, as it would fix a consistent loss percentage per trade, preventing losses from fluctuating with volatility swings. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to exit or SL And if volatility is high and exceeds the fixed percentage we want to expose per trade (if SL is hit), we could reduce the position size. For example, imagine we only want to risk 15% per SL on Tesla, where volatility is high and would cause a 23.57% loss. In this case, we subtract 23.57% from 15% (the loss percentage we’re willing to accept per trade), then subtract the result from our usual position size. 23.57% - 15% = 8.57% Suppose I use $200 per trade. To calculate 8.57% of $200, simply multiply 200 by 8.57/100. This simple calculation shows that 8.57% equals about $17.14 of the $200. Then subtract that value from $200: $200 - $17.14 = $182.86 In summary, if we reduced the position size to $182.86 (from the usual $200, where we’re willing to lose 15%), no matter whether Tesla moves up or down 23.57%, we would still only gain or lose 15% of the $200, thus respecting our risk management. Final Notes The code is extremely simple, and every step of its development is detailed within it. If you liked this strategy, which complements very well with others I’ve already published, stay tuned. Best regards.
אסטרטגיית Pine Script®
מאת ‎OldWave96‎
2