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Volume Delta Waterfall (Anchored, No Reset)What this helps you see (simple) Delta (ฮ”V) = UpVolume โˆ’ DownVolume (estimated from lower timeframe). Positive ฮ”V โ‡’ more โ€œupโ€ volume inside the bar โ†’ buying pressure dominates. Negative ฮ”V โ‡’ more โ€œdownโ€ volume inside the bar โ†’ selling pressure dominates. The waterfall is cumulative delta: each bar starts at the previous bar close and moves up/down by ฮ”V. Divergence idea: Bearish divergence: price makes Higher High, but cumulative delta at that swing makes Lower High โ†’ rally is weaker (often exhaustion / distribution). Bullish divergence: price makes Lower Low, but cumulative delta at that swing makes Higher Low โ†’ selloff is weaker (often absorption / reversal risk).
Pine Scriptยฎ indicator
by salman4meus
Chan Theory - Chanlun|CCZT# Chan Theory - Chanlun|CCZT ## Overview This indicator implements Chan Theory (็ผ ่ฎบ) structural analysis framework using Pine Script v5. It automatically identifies fractals, pens, segments, and pivot zones from price movements, providing objective structure-based trading signals. **Key Features:** - Real-time fractal and pen recognition with 4 pen type options - Multi-level segment analysis (sub-level and main-level) - Dynamic pivot zone identification and visualization - Type I/II/III trading signal detection - Customizable display settings for all structural components ## How It Works ### 1. Candlestick Containment Processing Eliminates noise by processing candlestick containment relationships: - **Uptrend**: Takes higher highs and higher lows - **Downtrend**: Takes lower highs and lower lows ### 2. Fractal Recognition Identifies top/bottom fractals on processed candlesticks: - **Top Fractal**: Middle candlestick high > both adjacent highs - **Bottom Fractal**: Middle candlestick low < both adjacent lows ### 3. Pen Construction (4 Types Available) Connects valid fractals to form pens: - **Classic Pen (่€็ฌ”)**: Requires 5+ processed K-lines per pen - **Optimized Pen (ๆ–ฐ็ฌ”)**: 4+ processed K-lines with 5+ raw K-lines - **4K Pen**: 4 raw K-lines with specific conditions - **Strict Pen (ไธฅ็ฌ”)**: 5+ K-lines with directional validation ### 4. Segment Partitioning (3 Modes) Groups pens into higher-level segments: - **Dynamic Correction**: Real-time adjustment with new data - **Strict Mode**: Full compliance with classical definitions - **Extension Mode**: Flexible trend continuation handling ### 5. Pivot Zone Recognition Identifies consolidation zones at multiple levels: - Sub-level pivot zones (pen-based) - Main-level pivot zones (segment-based) - Real-time pivot extension visualization ## Trading Signals ### Type I Signals (1buy/1sell) Trend reversal signals based on momentum divergence within segments. Requires pivot zone formation or sufficient pen count. ### Type II Signals (2buy/2sell) Pullback entry signals occurring after Type I, identified by sub-level fractal confirmations. ### Type III Signals (3buy/3sell) Breakout confirmation signals when price breaks and holds beyond prior pivot zones. ### Quasi-Type II Signals (L2buy/L2sell) Similar to Type II but with less strict conditions. ## Settings Guide | Setting | Description | |---------|-------------| | **Pen Type** | Choose Classic/Optimized/4K/Strict based on volatility | | **Segment Mode** | Select calculation method matching your strategy | | **Show Pivot Zones** | Toggle sub-level/main-level pivots | | **Show Running Pen** | Display currently forming unconfirmed pen | | **Fast Pen Mode** | Allow pens without complete fractals | ## Display Options - Pen lines with customizable colors and width - Segment lines for different levels - Pivot zone boxes with gradient colors - Trading signals at fractal positions ## Upcoming Features (Coming Soon) The following features are planned for future releases: ### Pen & Fractal Enhancements - Right containment check (ๅฏ็”จๅณๅŒ…ๅซๆฃ€ๆŸฅ) - Pen endpoint mode: Strict highest/lowest vs Secondary high/low (็ฌ”็ซฏ็‚นๆจกๅผ) - Pen extension correction in secondary mode (ๆฌก้ซ˜ๆฌกไฝŽๆจกๅผๅฏ็”จ็ฌ”ๅปถไผธไฟฎๆญฃ) - Single pen to segment (ๅ•็ฌ”ๆˆๆฎต) - Segment formation conditions (ๆˆๆฎตๆกไปถ) - K-line count for segment (K็บฟๆ•ฐ้‡) - Pen/Segment count for trend (็ฌ”/ๆฎตๆ•ฐ้‡) - Trend line start filter (่ถ‹ๅŠฟ็บฟ่ตท็‚น่ฟ‡ๆปค) - Local extremum filter (ๅฑ€้ƒจๆžๅ€ผ่ฟ‡ๆปค) - Lookback period (ๅ›žๆบฏๅ‘จๆœŸ) - 3K interval filter (3K้—ด้š”่ฟ‡ๆปค) - Raw K-line fractal display (ๆ˜พ็คบๅŽŸๅง‹K็บฟๅˆ†ๅž‹) - Raw fractal for pen (ๅŽŸๅง‹ๅˆ†ๅž‹็”จไบŽ็ฌ”) - Single pen to segment ratio (ๅ•็ฌ”ๆˆๆฎตๆฏ”ไพ‹) - Top/Bottom to pen ratio (้กถๅบ•ๆˆ็ฌ”) ### Segment Enhancements - Super trend line display (ๆ˜พ็คบๅคง่ถ‹ๅŠฟ็บฟ) - Trend line extension (่ถ‹ๅŠฟ็บฟๅปถไผธ) - Super trend line extension (ๅคง่ถ‹ๅŠฟ็บฟๅปถไผธ) - Super trend segment colors (็บฟๆฎต้ขœ่‰ฒ-ๅคง่ถ‹ๅŠฟ็บฟ) - Single segment to trend (ๅ•ๆฎตๆˆ่ถ‹ๅŠฟ) - Trend breakthrough (่ถ‹ๅŠฟ็ช็ ด) - Feature sequence gap detection (ๅฏ็”จ็‰นๅพๅบๅˆ—็ผบๅฃๆฃ€ๆต‹) ### Pivot Zone Enhancements - Big-level pivot zone display (ๅคง็บงๅˆซไธญๆžข) - Early draw big-level pivot (ๆๅ‰็ป˜ๅˆถๅคง็บงๅˆซไธญๆžข) - Big-level pivot colors (ๅคง็บงๅˆซไธญๆžข้ขœ่‰ฒ) ### Trading Signal Enhancements - Big-level trading signals (ๅคง็บงๅˆซไนฐๅ–็‚น) - Type 2 chain detection (็ฑป2้“พๅผๅˆคๆ–ญ) - Type 3 search range (็ฑป3ๆœ็ดข่Œƒๅ›ด) - Type 3 rapid reversal alert (3็ฑปไนฐๅ–็‚นๆ€ฅ้€Ÿๅ่ฝฌ่ญฆๆŠฅ) ### MACD Divergence (Complete Module) - Sub-level divergence display (ๆ˜พ็คบๆฌก็บงๅˆซ่ƒŒ้ฉฐ) - Main-level divergence display (ๆ˜พ็คบๆœฌ็บงๅˆซ่ƒŒ้ฉฐ) - Type 1 divergence detection method (1ไนฐๅ–็‚น่ƒŒ้ฉฐๅˆคๆ–ญๆ–นๅผ) - Type 1 pivot requirement (1ไนฐๅ–็‚นไธญๆžข่ฆๆฑ‚) - Type 1 divergence detection toggle (1็ฑปไนฐๅ–็‚นๅฏ็”จ่ƒŒ้ฉฐๅˆคๆ–ญ) ### Signal Filtering (Complete Module) - Fractal validity filter (ไนฐๅ–็‚นๅˆ†ๅž‹่ฟ‡ๆปค) - Basic fractal filter (ไนฐๅ–็‚นๅˆ†ๅž‹ๅŸบ็ก€่ฟ‡ๆปค) - Type 1 MACD divergence filter (1ไนฐๅ–macd่ƒŒ้ฉฐ่ฟ‡ๆปค) - Type 2 signal filter (2ไนฐๅ–็‚น่ฟ‡ๆปค) - False signal trap avoidance (้˜ฒ็‹ผๆœฏ) - Expected signal display (ๆ˜พ็คบ้ข„ๆœŸไนฐๅ–็‚น) - Alert differentiation (่ญฆๆŠฅๅŒบๅˆ†) ### Feature Sequence (Complete Module) - Feature sequence display (ๆ˜พ็คบ็‰นๅพๅบๅˆ—) - Up/Down segment colors for feature sequence ## Notes - This script is for technical analysis reference only - Does not constitute investment advice - Users should make independent trading decisions - Best used in conjunction with Chan Theory MACD Divergence indicator --- # ๆฆ‚่ฟฐ ๆœฌๆŒ‡ๆ ‡ๅŸบไบŽ็ผ ่ฎบ(Chan Theory)ๆŠ€ๆœฏๅˆ†ๆžๆก†ๆžถ๏ผŒไฝฟ็”จPine Script v5ๅฎž็Žฐไปทๆ ผ็ป“ๆž„็š„่‡ชๅŠจ่ฏ†ๅˆซใ€‚่‡ชๅŠจ่งฃๆžๅˆ†ๅž‹ใ€็ฌ”ใ€็บฟๆฎตๅ’Œไธญๆžข็ญ‰ๆ ธๅฟƒ็ป„ไปถ๏ผŒๆไพ›ๅฎข่ง‚็š„็ป“ๆž„ๅŒ–ไบคๆ˜“ไฟกๅทใ€‚ **ๆ ธๅฟƒๅŠŸ่ƒฝ๏ผš** - ๅฎžๆ—ถๅˆ†ๅž‹ๅ’Œ็ฌ”่ฏ†ๅˆซ๏ผŒๆไพ›4็ง็ฌ”็ฑปๅž‹้€‰ๆ‹ฉ - ๅคš็บงๅˆซ็บฟๆฎตๅˆ†ๆž๏ผˆๆฌก็บงๅˆซๅ’Œๆœฌ็บงๅˆซ๏ผ‰ - ๅŠจๆ€ไธญๆžข่ฏ†ๅˆซไธŽๅฏ่ง†ๅŒ– - ไธ€ใ€ไบŒใ€ไธ‰็ฑปไนฐๅ–็‚นๆฃ€ๆต‹ - ๆ‰€ๆœ‰็ป“ๆž„็ป„ไปถๅฏ่‡ชๅฎšไน‰ๆ˜พ็คบ่ฎพ็ฝฎ ## ๅทฅไฝœๅŽŸ็† ### 1. K็บฟๅŒ…ๅซๅค„็† ๆถˆ้™คK็บฟๅŒ…ๅซๅ…ณ็ณปๅธฆๆฅ็š„ๅ™ช้Ÿณ๏ผš - **ไธŠๆถจ่ถ‹ๅŠฟ**๏ผšๅ–้ซ˜็‚น้ซ˜ๅ€ผใ€ไฝŽ็‚น้ซ˜ๅ€ผ - **ไธ‹่ทŒ่ถ‹ๅŠฟ**๏ผšๅ–้ซ˜็‚นไฝŽๅ€ผใ€ไฝŽ็‚นไฝŽๅ€ผ ### 2. ๅˆ†ๅž‹่ฏ†ๅˆซ ๅœจๅค„็†ๅŽ็š„K็บฟไธŠ่ฏ†ๅˆซ้กถๅบ•ๅˆ†ๅž‹๏ผš - **้กถๅˆ†ๅž‹**๏ผšไธญ้—ดK็บฟ้ซ˜็‚น > ไธคไพง้ซ˜็‚น - **ๅบ•ๅˆ†ๅž‹**๏ผšไธญ้—ดK็บฟไฝŽ็‚น < ไธคไพงไฝŽ็‚น ### 3. ็ฌ”็š„ๆž„ๅปบ๏ผˆ4็ง็ฑปๅž‹๏ผ‰ ่ฟžๆŽฅๆœ‰ๆ•ˆๅˆ†ๅž‹ๅฝขๆˆ็ฌ”็ป“ๆž„๏ผš - **่€็ฌ”**๏ผšๆฏ็ฌ”่‡ณๅฐ‘5ๆ นๅค„็†ๅŽK็บฟ - **ๆ–ฐ็ฌ”**๏ผš4ๆ นๅค„็†ๅŽK็บฟ + 5ๆ นๅŽŸๅง‹K็บฟ - **4K็ฌ”**๏ผš4ๆ นๅŽŸๅง‹K็บฟๆปก่ถณ็‰นๅฎšๆกไปถ - **ไธฅ็ฌ”**๏ผš5ๆ นK็บฟ + ๆ–นๅ‘้ชŒ่ฏ ### 4. ็บฟๆฎตๅˆ’ๅˆ†๏ผˆ3็งๆจกๅผ๏ผ‰ ๅฐ†็ฌ”็ป„ๅˆๆˆๆ›ด้ซ˜็บงๅˆซ็š„็บฟๆฎต๏ผš - **ๅฝ“ไธ‹ๅปถไผธๅŽไฟฎๆญฃ**๏ผš้šๆ–ฐๆ•ฐๆฎๅฎžๆ—ถ่ฐƒๆ•ด - **ไธฅๆ ผๆจกๅผ**๏ผšๅฎŒๅ…จ็ฌฆๅˆ็ปๅ…ธๅฎšไน‰ - **ๅปถไผธๆจกๅผ**๏ผš็ตๆดปๅค„็†่ถ‹ๅŠฟๅปถ็ปญ ### 5. ไธญๆžข่ฏ†ๅˆซ ่ฏ†ๅˆซๅคš็บงๅˆซ็š„็›˜ๆ•ดๅŒบๅŸŸ๏ผš - ๆฌก็บงๅˆซไธญๆžข๏ผˆๅŸบไบŽ็ฌ”๏ผ‰ - ๆœฌ็บงๅˆซไธญๆžข๏ผˆๅŸบไบŽ็บฟๆฎต๏ผ‰ - ๅฎžๆ—ถไธญๆžขๅปถไผธๅฏ่ง†ๅŒ– ## ไนฐๅ–็‚นไฟกๅท ### ไธ€็ฑปไนฐๅ–็‚น (1buy/1sell) ๅŸบไบŽ็บฟๆฎตๅ†…ๅŠจ้‡่ƒŒ้ฉฐ็š„่ถ‹ๅŠฟๅ่ฝฌไฟกๅท๏ผŒ้œ€่ฆไธญๆžขๅฝขๆˆๆˆ–่ถณๅคŸ็ฌ”ๆ•ฐใ€‚ ### ไบŒ็ฑปไนฐๅ–็‚น (2buy/2sell) ไธ€็ฑปไน‹ๅŽ็š„ๅ›ž่ฐƒๅ…ฅๅœบไฟกๅท๏ผŒ้€š่ฟ‡ๆฌก็บงๅˆซๅˆ†ๅž‹็กฎ่ฎค่ฏ†ๅˆซใ€‚ ### ไธ‰็ฑปไนฐๅ–็‚น (3buy/3sell) ไปทๆ ผ็ช็ ดๅนถ็ซ™็จณไธญๆžข่พน็•Œ็š„็ช็ ด็กฎ่ฎคไฟกๅทใ€‚ ### ็ฑปไบŒไนฐๅ–็‚น (L2buy/L2sell) ๆกไปถ่พƒๅฎฝๆพ็š„็ฑปไผผไบŒ็ฑปไฟกๅทใ€‚ ## ่ฎพ็ฝฎ่ฏดๆ˜Ž | ่ฎพ็ฝฎ้กน | ่ฏดๆ˜Ž | |--------|------| | **็ฌ”็š„็ฑปๅž‹** | ๆ นๆฎๆณขๅŠจๆ€ง้€‰ๆ‹ฉ่€็ฌ”/ๆ–ฐ็ฌ”/4K/ไธฅ็ฌ” | | **็บฟๆฎตๆจกๅผ** | ้€‰ๆ‹ฉ็ฌฆๅˆ็ญ–็•ฅ็š„่ฎก็ฎ—ๆ–นๅผ | | **ๆ˜พ็คบไธญๆžข** | ๅˆ‡ๆขๆฌก็บงๅˆซ/ๆœฌ็บงๅˆซไธญๆžขๆ˜พ็คบ | | **่ฟ่กŒไธญ็š„็ฌ”** | ๆ˜พ็คบๅฝ“ๅ‰ๅฝขๆˆไธญ็š„ๆœช็กฎ่ฎค็ฌ” | | **ๆ€ฅ้€Ÿๆˆ็ฌ”** | ๅ…่ฎธๆ— ๅฎŒๆ•ดๅˆ†ๅž‹ๆˆ็ฌ” | ## ๆ˜พ็คบ้€‰้กน - ็ฌ”็บฟๆก๏ผŒๅฏ่‡ชๅฎšไน‰้ขœ่‰ฒๅ’Œๅฎฝๅบฆ - ไธๅŒ็บงๅˆซ็š„็บฟๆฎต็บฟๆก - ไธญๆžขๅŒบๅŸŸๅธฆๆธๅ˜่‰ฒ - ไนฐๅ–็‚นไฟกๅทๆ˜พ็คบๅœจๅˆ†ๅž‹ไฝ็ฝฎ ## ๅณๅฐ†ๆŽจๅ‡บ็š„ๅŠŸ่ƒฝ๏ผˆๆ•ฌ่ฏทๆœŸๅพ…๏ผ‰ ไปฅไธ‹ๅŠŸ่ƒฝ่ฎกๅˆ’ๅœจๅŽ็ปญ็‰ˆๆœฌไธญๅ‘ๅธƒ๏ผš ### ๅˆ†ๅž‹ใ€็ฌ”ๅขžๅผบๅŠŸ่ƒฝ - ๅฏ็”จๅณๅŒ…ๅซๆฃ€ๆŸฅ - ็ฌ”็ซฏ็‚นๆจกๅผ๏ผšไธฅๆ ผๆœ€้ซ˜ๆœ€ไฝŽ็‚น / ๅ…่ฎธๆฌก้ซ˜ๆฌกไฝŽ็‚น - ๆฌก้ซ˜ๆฌกไฝŽๆจกๅผๅฏ็”จ็ฌ”ๅปถไผธไฟฎๆญฃ - ๅ•็ฌ”ๆˆๆฎต - ๆˆๆฎตๆกไปถ๏ผˆ็ช็ ดๆžๅ€ผ/ๆ•ฐ้‡ๆกไปถ/ไปปไธ€ๆปก่ถณ๏ผ‰ - K็บฟๆ•ฐ้‡่ฆๆฑ‚ - ็ฌ”/ๆฎตๆ•ฐ้‡่ฆๆฑ‚ - ่ถ‹ๅŠฟ็บฟ่ตท็‚น่ฟ‡ๆปค - ๅฑ€้ƒจๆžๅ€ผ่ฟ‡ๆปค - ๅ›žๆบฏๅ‘จๆœŸ - 3K้—ด้š”่ฟ‡ๆปค - ๆ˜พ็คบๅŽŸๅง‹K็บฟๅˆ†ๅž‹ - ๅŽŸๅง‹ๅˆ†ๅž‹็”จไบŽ็ฌ” - ๅ•็ฌ”ๆˆๆฎตๆฏ”ไพ‹ - ้กถๅบ•ๆˆ็ฌ” ### ็บฟๆฎตๅขžๅผบๅŠŸ่ƒฝ - ๆ˜พ็คบๅคง่ถ‹ๅŠฟ็บฟ - ่ถ‹ๅŠฟ็บฟๅปถไผธ - ๅคง่ถ‹ๅŠฟ็บฟๅปถไผธ - ็บฟๆฎต้ขœ่‰ฒ๏ผˆๅคง่ถ‹ๅŠฟ็บฟ๏ผ‰ - ๅ•ๆฎตๆˆ่ถ‹ๅŠฟ - ่ถ‹ๅŠฟ็ช็ ด - ๅฏ็”จ็‰นๅพๅบๅˆ—็ผบๅฃๆฃ€ๆต‹ ### ไธญๆžขๅขžๅผบๅŠŸ่ƒฝ - ๆ˜ฏๅฆๆ˜พ็คบๅคง็บงๅˆซไธญๆžข - ๆๅ‰็ป˜ๅˆถๅคง็บงๅˆซไธญๆžข - ๅคง็บงๅˆซไธญๆžข้ขœ่‰ฒ่ฎพ็ฝฎ ### ไนฐๅ–็‚นๅขžๅผบๅŠŸ่ƒฝ - ๅคง็บงๅˆซไนฐๅ–็‚น - ๅฏ็”จ็ฑป2้“พๅผๅˆคๆ–ญ - ็ฑป3ๆœ็ดข่Œƒๅ›ด - ๅฏ็”จ3็ฑปไนฐๅ–็‚นๆ€ฅ้€Ÿๅ่ฝฌ่ญฆๆŠฅ ### MACD่ƒŒ้ฉฐๆจกๅ—๏ผˆๅฎŒๆ•ดๆจกๅ—๏ผ‰ - ๆ˜พ็คบๆฌก็บงๅˆซ่ƒŒ้ฉฐ - ๆ˜พ็คบๆœฌ็บงๅˆซ่ƒŒ้ฉฐ - 1ไนฐๅ–็‚น่ƒŒ้ฉฐๅˆคๆ–ญๆ–นๅผ - 1ไนฐๅ–็‚นไธญๆžข่ฆๆฑ‚ - 1็ฑปไนฐๅ–็‚นๅฏ็”จ่ƒŒ้ฉฐๅˆคๆ–ญ ### ไนฐๅ–็‚น่ฟ‡ๆปคๆจกๅ—๏ผˆๅฎŒๆ•ดๆจกๅ—๏ผ‰ - ไนฐๅ–็‚นๅˆ†ๅž‹่ฟ‡ๆปค - ไนฐๅ–็‚นๅˆ†ๅž‹ๅŸบ็ก€่ฟ‡ๆปค - 1ไนฐๅ–macd่ƒŒ้ฉฐ่ฟ‡ๆปค - 2ไนฐๅ–็‚น่ฟ‡ๆปค - ้˜ฒ็‹ผๆœฏ - ๆ˜พ็คบ้ข„ๆœŸไนฐๅ–็‚น - ่ญฆๆŠฅๅŒบๅˆ† ### ็‰นๅพๅบๅˆ—ๆจกๅ—๏ผˆๅฎŒๆ•ดๆจกๅ—๏ผ‰ - ๆ˜พ็คบ็‰นๅพๅบๅˆ— - ไธŠๆถจ/ไธ‹่ทŒ็บฟๆฎต็‰นๅพๅบๅˆ—้ขœ่‰ฒ ## ๅฃฐๆ˜Ž - ๆœฌ่„šๆœฌไป…ไพ›ๆŠ€ๆœฏๅˆ†ๆžๅ‚่€ƒ - ไธๆž„ๆˆๆŠ•่ต„ๅปบ่ฎฎ - ็”จๆˆทๅบ”่‡ช่กŒๅšๅ‡บไบคๆ˜“ๅ†ณ็ญ– - ๅปบ่ฎฎ็ป“ๅˆ็ผ ่ฎบmacd่ƒŒ้ฉฐๆŒ‡ๆ ‡ไฝฟ็”จ
Pine Scriptยฎ indicator
by riyue
Multi-TF EMA ScalpingA dual-purpose indicator that combines daily trend context with intraday momentum signals. It plots both daily EMAs (50-period for trend direction) and faster intraday EMAs (9 & 20-period) on your scalping chart, creating a visual overlay that helps you trade with the higher timeframe trend while using precise intraday entries. Key Features: Daily EMA 50 shows overall trend bias (colored background) 5/15-minute EMAs 9 & 20 provide entry/exit signals Multi-timeframe alignment to avoid trading against the trend Perfect for scalpers who need daily context on lower timeframes
Pine Scriptยฎ indicator
by CareExtended
TPO Profile by Vanya_zvwey โšก๏ธ This is a professional-grade Time Price Opportunity (TPO) indicator, also known as Market Profile, designed for serious auction market theory analysis. Unlike standard TPO indicators that often slow down the chart or suffer from visual glitches ("ghosting") when parameters change, this engine is built on a Delayed Rendering Architecture with aggressive Garbage Collection. It ensures a clean chart and maximum performance. ๐Ÿ”ฅ Key Features: 1. Smart History & Skeleton Mode (Unique): โ€ข Pine Script has a strict limit on drawing objects (boxes). To bypass this, this indicator uses a Reverse Rendering algorithm. โ€ข It draws the most recent profiles first. Once the drawing limit (500 blocks budget) is reached, it automatically switches older profiles to "Skeleton Mode". โ€ข Skeleton Mode displays only the essential levels (POC, VAH/VAL, Poor H/L, IB) without the heavy blocks, allowing you to see months of history without crashing the script. 2. Advanced Auction Logic: โ€ข Split Profiles: Visualizes TPO using Blocks, Letters (A-Z), or Split text. โ€ข Single Prints: Highlights areas of rapid price movement (inefficiencies) with a distinct color. โ€ข Buying/Selling Tails: Automatically detects and colors long wicks at profile extremes indicating rejection. โ€ข Poor High/Low: Detects flat auction extremes (no rejection) and marks them with dashed lines, suggesting potential revisit levels. 3. Key Levels: โ€ข POC (Point of Control): The price level with the most time spent. Includes an "Extend" feature until tested. โ€ข Value Area (VA): Highlights the 68% (customizable) range of trading activity. โ€ข Initial Balance (IB): Vertical line marking the first hour of the session (configurable). 4. Anti-Ghosting System: โ€ข Includes a hard-coded Garbage Collector that wipes old drawings before every new frame. No more overlapping blocks or visual artifacts when changing settings. โš™๏ธ Settings Guide: โ€ข Main Settings: โ€ข Session Mode: Choose "Full Day" or "Custom Window" (e.g., for RTH sessions). โ€ข Block Size: Define the TPO resolution (5m, 30m, etc.). โ€ข Row Mode: "Auto" adjusts tick size automatically based on volatility (recommended). "Manual" allows fixed tick precision. โ€ข History Range: โ€ข Auto (Smart): Optimizes for performance. Shows full blocks for recent days and lines for history (up to 30 days). โ€ข Manual: Allows you to specify the exact number of days to look back (still respects the smart box limit). โ€ข Visuals: โ€ข Customize colors for the Profile Body, Single Prints, Tails, and POC. โ€ข Toggle Text modes (Letters, Blocks, or Squares). โ€ข Value Area & Other Visuals: โ€ข Enable/Disable VA Lines, Poor High/Low markers, and Initial Balance. โ€ข Extend POC: Extends the naked Point of Control line forward until price touches it. Tips for Usage: โ€ข If you see older profiles turning into lines (Skeleton), this is the Smart Optimization working to keep your chart fast. โ€ข For the best visual experience, hide the native candlesticks or make them transparent if you want to focus solely on the TPO structure. ๐Ÿ“ˆ Trading tips โ€” practical uses - POC often acts like a magnet โ€” when price comes to a naked POC, pay attention for either a test (confirmation) or a failure (rejection). - Value Area shows where the market agreed on price; if price leaves the VA with follow-through, thatโ€™s often the start of a trend; if it returns, that often signals rejection. - Single prints are low-volume corridors โ€” they can be quick highways for price or targets for pullbacks. - Tails are classic rejection signs; retests of tail zones are frequently used for entries or stops. - Poor High and Poor Low mark weak extremes โ€” they have a high chance to be revisited, so keep them on your watchlist. โธป ๐Ÿ‡บ๐Ÿ‡ฆ Part 2: Ukrainian Description โšก๏ธ ะšะพั€ะพั‚ะบะธะน ะพะฟะธั ะฆะต ะฟั€ะพั„ะตัั–ะนะฝะธะน ั–ะฝัั‚ั€ัƒะผะตะฝั‚ ะดะปั ะฟะพะฑัƒะดะพะฒะธ TPO (Time Price Opportunity), ั‚ะฐะบะพะถ ะฒั–ะดะพะผะพะณะพ ัะบ ะ ะธะฝะบะพะฒะธะน ะŸั€ะพั„ั–ะปัŒ (Market Profile). ะจะฒะธะดะบะพ ั€ะตะฝะดะตั€ะธั‚ัŒ, ะดะฐั” ั‡ะธัั‚ัƒ ะฒั–ะทัƒะฐะปั–ะทะฐั†ั–ัŽ, ะฟะพะบะฐะทัƒั” ะดะตั‚ะฐะปัŒะฝั– ะพัั‚ะฐะฝะฝั– ะฟั€ะพั„ั–ะปั– ั– ะบะพะผะฟะฐะบั‚ะฝั– ั–ัั‚ะพั€ะธั‡ะฝั– ยซัะบะตะปะตั‚ะธยป, ั‰ะพะฑ ะฒะธ ะผะพะณะปะธ ั‚ะพั€ะณัƒะฒะฐั‚ะธ, ะฐ ะฝะต ะฑะพั€ะพั‚ะธัั ะท ะปะฐะณะฐะผะธ ะณั€ะฐั„ั–ะบะฐ. ะะฐ ะฒั–ะดะผั–ะฝัƒ ะฒั–ะด ัั‚ะฐะฝะดะฐั€ั‚ะฝะธั… ั–ะฝะดะธะบะฐั‚ะพั€ั–ะฒ, ัะบั– ั‡ะฐัั‚ะพ ะณะฐะปัŒะผัƒัŽั‚ัŒ ั‚ะตั€ะผั–ะฝะฐะป ะฐะฑะพ ะทะฐะปะธัˆะฐัŽั‚ัŒ ะฒั–ะทัƒะฐะปัŒะฝั– ะฐั€ั‚ะตั„ะฐะบั‚ะธ ("ะฟั€ะธะฒะธะดั–ะฒ") ะฟั€ะธ ะทะผั–ะฝั– ะฝะฐะปะฐัˆั‚ัƒะฒะฐะฝัŒ, ั†ะตะน ัะบั€ะธะฟั‚ ะฟะพะฑัƒะดะพะฒะฐะฝะธะน ะฝะฐ ะฐั€ั…ั–ั‚ะตะบั‚ัƒั€ั– ะ’ั–ะดะบะปะฐะดะตะฝะพะณะพ ะ ะตะฝะดะตั€ะธะฝะณัƒ (Delayed Rendering) ะท ะฐะณั€ะตัะธะฒะฝะพัŽ ัะธัั‚ะตะผะพัŽ ะพั‡ะธั‰ะตะฝะฝั ะฟะฐะผ'ัั‚ั– (Garbage Collection). ะฆะต ะณะฐั€ะฐะฝั‚ัƒั” ั‡ะธัั‚ะพั‚ัƒ ะณั€ะฐั„ั–ะบะฐ ั‚ะฐ ะผะฐะบัะธะผะฐะปัŒะฝัƒ ัˆะฒะธะดะบะพะดั–ัŽ. ๐Ÿ”ฅ ะšะปัŽั‡ะพะฒั– ะผะพะถะปะธะฒะพัั‚ั–: 1. ะ ะพะทัƒะผะฝะฐ ะ†ัั‚ะพั€ั–ั ั‚ะฐ ะ ะตะถะธะผ "ะกะบะตะปะตั‚" (ะฃะฝั–ะบะฐะปัŒะฝะพ): โ€ข Pine Script ะผะฐั” ะปั–ะผั–ั‚ ะฝะฐ ะบั–ะปัŒะบั–ัั‚ัŒ ะพะฑ'ั”ะบั‚ั–ะฒ (ะฑะปะพะบั–ะฒ). ะฉะพะฑ ะพะฑั–ะนั‚ะธ ั†ะต, ั–ะฝะดะธะบะฐั‚ะพั€ ะฒะธะบะพั€ะธัั‚ะพะฒัƒั” ะฐะปะณะพั€ะธั‚ะผ ะ—ะฒะพั€ะพั‚ะฝะพะณะพ ะ ะตะฝะดะตั€ะธะฝะณัƒ. โ€ข ะ’ั–ะฝ ะผะฐะปัŽั” ะฝะฐะนัะฒั–ะถั–ัˆั– ะฟั€ะพั„ั–ะปั– ะฟะตั€ัˆะธะผะธ (ัะฟั€ะฐะฒะฐ ะฝะฐะปั–ะฒะพ). ะฏะบ ั‚ั–ะปัŒะบะธ ะปั–ะผั–ั‚ ะผะฐะปัŽะฒะฐะฝะฝั (ะฑัŽะดะถะตั‚ ัƒ 500 ะฑะปะพะบั–ะฒ) ะฒะธั‡ะตั€ะฟัƒั”ั‚ัŒัั, ัั‚ะฐั€ั–ัˆั– ะฟั€ะพั„ั–ะปั– ะฐะฒั‚ะพะผะฐั‚ะธั‡ะฝะพ ะฟะตั€ะตะผะธะบะฐัŽั‚ัŒัั ะฒ "ะ ะตะถะธะผ ะกะบะตะปะตั‚ะฐ". โ€ข ะ ะตะถะธะผ ะกะบะตะปะตั‚ะฐ ะฒั–ะดะพะฑั€ะฐะถะฐั” ะปะธัˆะต ะบะปัŽั‡ะพะฒั– ั€ั–ะฒะฝั– (POC, VAH/VAL, Poor H/L, IB) ะฑะตะท ะฒะฐะถะบะธั… ะฑะปะพะบั–ะฒ. ะฆะต ะดะพะทะฒะพะปัั” ะฑะฐั‡ะธั‚ะธ ั–ัั‚ะพั€ั–ัŽ ะทะฐ 30+ ะดะฝั–ะฒ ะฑะตะท ะฟะพะผะธะปะพะบ ะฟะตั€ะตะฟะพะฒะฝะตะฝะฝั ะฟะฐะผ'ัั‚ั–. 2. ะŸั€ะพััƒะฝัƒั‚ะฐ ะ›ะพะณั–ะบะฐ ะัƒะบั†ั–ะพะฝัƒ: โ€ข ะ’ั–ะทัƒะฐะปั–ะทะฐั†ั–ั: ะ‘ะปะพะบะธ, ะ›ั–ั‚ะตั€ะธ (A-Z) ะฐะฑะพ ั€ะพะทะดั–ะปะตะฝั– ัั‚ะพะฒะฟั†ั–. โ€ข Single Prints: ะŸั–ะดัะฒั–ั‡ัƒั” ะทะพะฝะธ ัˆะฒะธะดะบะพะณะพ ั€ัƒั…ัƒ ั†ั–ะฝะธ (ะฝะตะตั„ะตะบั‚ะธะฒะฝะพัั‚ั–) ะพะบั€ะตะผะธะผ ะบะพะปัŒะพั€ะพะผ. โ€ข Buying/Selling Tails: ะะฒั‚ะพะผะฐั‚ะธั‡ะฝะพ ะฒะธัะฒะปัั” ั‚ะฐ ะทะฐั„ะฐั€ะฑะพะฒัƒั” "ั…ะฒะพัั‚ะธ" ะฝะฐ ะตะบัั‚ั€ะตะผัƒะผะฐั… ะฟั€ะพั„ั–ะปัŽ, ั‰ะพ ะฒะบะฐะทัƒั” ะฝะฐ ะฒั–ะดั‚ะพั€ะณะฝะตะฝะฝั ั†ั–ะฝะธ. โ€ข Poor High/Low: ะ’ะธัะฒะปัั” "ัะปะฐะฑะบั–" ะตะบัั‚ั€ะตะผัƒะผะธ (ะฑะตะท ั‡ั–ั‚ะบะพะณะพ ะฒั–ะดั‚ะพั€ะณะฝะตะฝะฝั) ั– ะฟะพะทะฝะฐั‡ะฐั” ั—ั… ะฟัƒะฝะบั‚ะธั€ะฝะพัŽ ะปั–ะฝั–ั”ัŽ ัะบ ะฟะพั‚ะตะฝั†ั–ะนะฝั– ั†ั–ะปั– ะดะปั ะฟะพะฒะตั€ะฝะตะฝะฝั. 3. ะšะปัŽั‡ะพะฒั– ะ ั–ะฒะฝั–: โ€ข POC (Point of Control): ะ ั–ะฒะตะฝัŒ ั†ั–ะฝะธ, ะดะต ั€ะธะฝะพะบ ะฟั€ะพะฒั–ะฒ ะฝะฐะนะฑั–ะปัŒัˆะต ั‡ะฐััƒ. ะคัƒะฝะบั†ั–ั "Extend" ะฟั€ะพะดะพะฒะถัƒั” ะปั–ะฝั–ัŽ ะฒะฟั€ะฐะฒะพ, ะดะพะบะธ ั†ั–ะฝะฐ ั—ั— ะฝะต ะฟั€ะพั‚ะตัั‚ัƒั”. โ€ข Value Area (VA): ะ’ะธะดั–ะปัั” ะทะพะฝัƒ, ะดะต ะฒั–ะดะฑัƒะปะพัั 68% (ะฝะฐะปะฐัˆั‚ะพะฒัƒั”ั‚ัŒัั) ั‚ะพั€ะณั–ะฒ. โ€ข Initial Balance (IB): ะ’ะตั€ั‚ะธะบะฐะปัŒะฝะฐ ะปั–ะฝั–ั ะฟะตั€ัˆะพั— ะณะพะดะธะฝะธ ั‚ะพั€ะณั–ะฒ (ะฝะฐะปะฐัˆั‚ะพะฒัƒั”ั‚ัŒัั). 4. ะกะธัั‚ะตะผะฐ Anti-Ghosting: โ€ข ะ’ะฑัƒะดะพะฒะฐะฝะธะน ะทะฑะธั€ะฐั‡ ัะผั–ั‚ั‚ั (Garbage Collector) ะฒะธะดะฐะปัั” ัั‚ะฐั€ั– ะผะฐะปัŽะฝะบะธ ะฟะตั€ะตะด ะบะพะถะฝะธะผ ะพะฝะพะฒะปะตะฝะฝัะผ ะบะฐะดั€ัƒ. ะ–ะพะดะฝะธั… ะฝะฐะบะปะฐะดะฐะฝะฝั ะฑะปะพะบั–ะฒ ะฐะฑะพ ะทะฐะฒะธัะฐะฝะฝั ะพะฑ'ั”ะบั‚ั–ะฒ. โš™๏ธ ะ“ั–ะด ะฟะพ ะฝะฐะปะฐัˆั‚ัƒะฒะฐะฝะฝัั…: โ€ข Main Settings (ะžัะฝะพะฒะฝั–): โ€ข Session Mode: "Full Day" (ะฒะตััŒ ะดะตะฝัŒ) ะฐะฑะพ "Custom Window" (ะฝะฐะฟั€ะธะบะปะฐะด, ะดะปั ั‚ะพั€ะณะพะฒะพั— ัะตัั–ั— ะกะจะ). โ€ข Block Size: ะ ะพะทะผั–ั€ ะฑะปะพะบัƒ TPO (5m, 30m ั– ั‚.ะด.). โ€ข Row Mode: "Auto" ะฐะฒั‚ะพะผะฐั‚ะธั‡ะฝะพ ะฟั–ะดะฑะธั€ะฐั” ะบั€ะพะบ ั†ั–ะฝะธ (ั€ะตะบะพะผะตะฝะดะพะฒะฐะฝะพ). "Manual" ะดะพะทะฒะพะปัั” ะฒั€ัƒั‡ะฝัƒ ะทะฐะดะฐั‚ะธ ั‚ะพั‡ะฝั–ัั‚ัŒ ัƒ ั‚ั–ะบะฐั…. โ€ข History Range: โ€ข Auto (Smart): ะžะฟั‚ะธะผั–ะทะฐั†ั–ั ัˆะฒะธะดะบะพะดั–ั—. ะŸะพะบะฐะทัƒั” ะฟะพะฒะฝั– ะฑะปะพะบะธ ะดะปั ะพัั‚ะฐะฝะฝั–ั… ะดะฝั–ะฒ ั– ะปั–ะฝั–ั— ะดะปั ั–ัั‚ะพั€ั–ั— (ะดะพ 30 ะดะฝั–ะฒ). โ€ข Manual: ะ”ะพะทะฒะฐะปัั” ะฒั€ัƒั‡ะฝัƒ ะทะฐะดะฐั‚ะธ ะบั–ะปัŒะบั–ัั‚ัŒ ะดะฝั–ะฒ (ะฐะปะต "ั€ะพะทัƒะผะฝะธะน ะปั–ะผั–ั‚" ะฑะปะพะบั–ะฒ ะฒัะต ะพะดะฝะพ ะดั–ัั‚ะธะผะต ะดะปั ะทะฐั…ะธัั‚ัƒ ะฟะฐะผ'ัั‚ั–). โ€ข Visuals (ะ’ั–ะทัƒะฐะป): โ€ข ะะฐะปะฐัˆั‚ัƒะฒะฐะฝะฝั ะบะพะปัŒะพั€ั–ะฒ ั‚ั–ะปะฐ ะฟั€ะพั„ั–ะปัŽ, Single Prints, ั…ะฒะพัั‚ั–ะฒ ั‚ะฐ POC. โ€ข ะ’ะธะฑั–ั€ ั€ะตะถะธะผัƒ ั‚ะตะบัั‚ัƒ (ะขั–ะปัŒะบะธ ะปั–ั‚ะตั€ะธ, ะ‘ะปะพะบะธ ะฐะฑะพ ะšะฒะฐะดั€ะฐั‚ะธ). โ€ข Value Area & Other Visuals: โ€ข ะฃะฒั–ะผะบะฝะตะฝะฝั ะปั–ะฝั–ะน VA, Poor High/Low ั‚ะฐ Initial Balance. โ€ข Extend POC: ะŸั€ะพะดะพะฒะถัƒั” ะปั–ะฝั–ัŽ POC ะฒะฟั€ะฐะฒะพ. ะŸะพั€ะฐะดะฐ: โ€ข ะฏะบั‰ะพ ะฒะธ ะฑะฐั‡ะธั‚ะต, ั‰ะพ ัั‚ะฐั€ั– ะฟั€ะพั„ั–ะปั– ะทะปั–ะฒะฐ ะฟะตั€ะตั‚ะฒะพั€ะธะปะธัั ะฝะฐ ะปั–ะฝั–ั— (ะกะบะตะปะตั‚) โ€” ั†ะต ะฟั€ะฐั†ัŽั” Smart Optimization, ั‰ะพะฑ ะฒะฐัˆ ะณั€ะฐั„ั–ะบ ะทะฐะปะธัˆะฐะฒัั ัˆะฒะธะดะบะธะผ. โ€ข ะ”ะปั ะฝะฐะนะบั€ะฐั‰ะพะณะพ ะฒะธะณะปัะดัƒ ั€ะตะบะพะผะตะฝะดัƒั”ั‚ัŒัั ัั…ะพะฒะฐั‚ะธ ัั‚ะฐะฝะดะฐั€ั‚ะฝั– ัะฟะพะฝััŒะบั– ัะฒั–ั‡ะบะธ ะฐะฑะพ ะทั€ะพะฑะธั‚ะธ ั—ั… ะฟั€ะพะทะพั€ะธะผะธ. ๐Ÿ“ˆ ะขะพั€ะณะพะฒั– ะฟะพั€ะฐะดะธ - POC โ€” ะผะฐะณะฝั–ั‚; ั‚ะตัั‚ ะดะฐั” ะฟั–ะดั‚ะฒะตั€ะดะถะตะฝะฝั ะฐะฑะพ ะฒั–ะดั‚ะพั€ะณะฝะตะฝะฝั. - VA โ€” ะทะพะฝะฐ ะทะณะพะดะธ ั€ะธะฝะบัƒ; ะฒะธั…ั–ะด ั–ะท ะฝะตั— ะท ะฟั–ะดั‚ะฒะตั€ะดะถะตะฝะฝัะผ ั‡ะฐัั‚ะพ ะพะทะฝะฐั‡ะฐั” ั€ัƒั…. - Single Prints โ€” ะบะพั€ะธะดะพั€ะธ ะดะปั ัˆะฒะธะดะบะธั… ั€ัƒั…ั–ะฒ ะฐะฑะพ ั†ั–ะปั– ะดะปั ะฟะพะฒะตั€ะฝะตะฝัŒ. - Tails โ€” ะฒั–ะดั‚ะพั€ะณะฝะตะฝะฝั; ั€ะตั‚ะตัั‚ ั‡ะฐัั‚ะพ ะดะฐั” setup. - Poor High/Low โ€” ั‡ะฐัั‚ั– ั†ั–ะปั– ะดะปั ะฟะพะฒะตั€ะฝะตะฝะฝั.
Pine Scriptยฎ indicator
by Vanya_zvwey
4 EMA Flexible with CrossoversOverview This indicator is a highly customizable multi-EMA (Exponential Moving Average) suite designed for trend followers and momentum traders. Unlike standard EMA indicators, this script provides four independent EMAs, each with its own horizontal Offset parameter, allowing traders to shift averages forward or backward to account for market lag or cycles. It is specifically built for traders who use a "Triple EMA" or "Quad EMA" setup to filter trends across different timeframes while looking for precise entry triggers. Key Features 4 Independent EMAs: Fully customizable length and color for each average. Horizontal Offsets: Each EMA can be shifted horizontally (left or right) to align with specific market structures or to create "lead" indicators. Crossover Detection: The script automatically monitors EMA 1 and EMA 2 for crossovers. Golden Cross (Cross Up): Signals potential bullish momentum. Death Cross (Cross Down): Signals potential bearish momentum. Visual Labeling: Includes intuitive on-chart shapes (Triangle Up/Down) and text labels to ensure you never miss a crossover event. Alert Integration: Native support for TradingView alerts. You can set notifications for Bullish and Bearish crossovers with a single click. How to Use Trend Filtering: Use the 4th EMA (default 200) as your "Trend Filter." Only take Long signals when price is above this line and Short signals when below. Signal Generation: Use the first two EMAs (default 21 and 30) to generate entry signals. When they cross in the direction of the higher-order trend, it indicates a high-probability entry point. Offset Tuning: Use the Offset feature to shift your signal EMAs forward (positive values) if you want to avoid "whipsaws" in a sideways market. Settings EMA 1 & 2: Primary signal lines. Crossovers are calculated based on these two inputs. EMA 3 & 4: Secondary trend lines for support/resistance and trend direction. Offset: Adjusts the horizontal placement of the line (positive for right, negative for left).
Pine Scriptยฎ indicator
by MorcomIns
Intenza Trading Technologies - Keylevels+Strenght Count+Fib Goldโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• INTENZA TRADING TECHNOLOGIES - KEYLEVELS INDICATOR โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ“Š OVERVIEW The Intenza Trading Technologies Keylevels Indicator is a comprehensive multi-timeframe level tracking system designed for precision trading. It automatically plots critical price levels from multiple timeframes (4H, Daily, Weekly, Monthly, Quarterly, Yearly) along with session ranges (London, New York, Asia) and Monday ranges, providing traders with a complete market structure view. This indicator is specifically built for forex, indices, and cryptocurrency traders who use key levels and Fibonacci retracements as part of their trading strategy. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โœจ KEY FEATURES โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐ŸŽฏ MULTI-TIMEFRAME LEVELS โ€ข 4-Hour: Open, Previous High/Low, Previous Mid โ€ข Daily: Open, Previous Day High (PDH), Previous Day Low (PDL), Previous Mid โ€ข Weekly: Open, Previous Week High (PWH), Previous Week Low (PWL), Previous Mid โ€ข Monthly: Open, Previous Month High (PMH), Previous Month Low (PML), Previous Mid โ€ข Quarterly: Open, Previous Quarter High/Low, Previous Mid โ€ข Yearly: Open, Current Year High/Low, Year Mid ๐Ÿ“ˆ LEVEL STRENGTH SYSTEM Each key level displays the number of times price has tested that level within a customizable lookback period. This helps identify: โ€ข Fresh levels (0-3 touches): Untested support/resistance โ€ข Established levels (4-8 touches): Strong, proven key levels โ€ข Overused levels (9+ touches): Levels likely to break soon Customizable parameters: โ€ข Lookback Bars: How many candles to analyze for touch counting โ€ข Touch Threshold: Precision of what counts as a "touch" (default 0.05%) ๐ŸŒ… FX SESSION RANGES Automatically tracks and plots: โ€ข London Session High/Low/Open (customizable UTC hours) โ€ข New York Session High/Low/Open (customizable UTC hours) โ€ข Asia Session High/Low/Open (customizable UTC hours) โ€ข Timezone offset adjustment for your local time ๐Ÿ“… MONDAY RANGE Tracks Monday's high and low throughout the week - a critical tool for traders using weekly trading strategies and institutional order flow analysis. ๐Ÿ”ฑ FIBONACCI GOLDEN ZONES Displays the "Golden Zone" (0.618-0.786 Fibonacci retracement) for: โ€ข PDH-PDL range (Previous Day High to Previous Day Low) โ€ข PWH-PWL range (Previous Week High to Previous Week Low) โ€ข PMH-PML range (Previous Month High to Previous Month Low) Additional Fibonacci levels available: โ€ข 0.382 (dotted gray line) โ€ข 0.500 (dashed black line with label) โ€ข 0.618 (dashed black line with label - lower Golden Zone boundary) โ€ข 0.786 (dashed black line with label - upper Golden Zone boundary) The Golden Zone box is semi-transparent and customizable in color and opacity. โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โš™๏ธ CUSTOMIZATION OPTIONS โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐ŸŽจ DISPLAY SETTINGS โ€ข Display Style: Standard or Right Anchored positioning โ€ข Merge Levels: Automatically combines overlapping levels with merged labels โ€ข Distance: Controls how far right labels extend โ€ข Text Size: Small, Medium, or Large โ€ข Line Width: Small, Medium, or Large โ€ข Line Style: Solid, Dashed, or Dotted ๐ŸŒˆ COLOR CONTROLS โ€ข Individual color control for each timeframe group โ€ข Global coloring option to apply one color to all levels โ€ข Global text shorthand option for compact labels โ€ข Individual shorthand toggles per timeframe ๐Ÿ“Š LEVEL TOGGLES Each timeframe group has granular controls: โ€ข Enable/disable Opens โ€ข Enable/disable Previous Highs/Lows โ€ข Enable/disable Mid-points โ€ข Individual shorthand text option ๐Ÿ”ข ADVANCED FEATURES โ€ข Show Level Strength: Toggle touch counting on/off โ€ข Lookback Bars: 10-500 bars (default: 50) - Recommended: 100-200 for 1-5min charts - Recommended: 50-100 for 15min-1H charts - Recommended: 30-50 for 4H-Daily charts โ€ข Touch Threshold: 0.01%-1% (default: 0.05%) ๐ŸŽจ FIBONACCI SETTINGS โ€ข PDH-PDL Fib: Daily Fibonacci Golden Zone โ€ข PWH-PWL Fib: Weekly Fibonacci Golden Zone โ€ข PMH-PML Fib: Monthly Fibonacci Golden Zone โ€ข Golden Zone Color: Fully customizable color and transparency โ€ข Show Fib Levels: Toggle additional 0.382, 0.5, 0.618 lines on/off ๐Ÿ• SESSION SETTINGS โ€ข London Start/End: Customizable UTC hours โ€ข New York Start/End: Customizable UTC hours โ€ข Asia Start/End: Customizable UTC hours โ€ข Timezone Offset: Adjust all sessions by X hours for your local time โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ“– HOW TO USE โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• 1๏ธโƒฃ LEVEL STRENGTH INTERPRETATION FEW TOUCHES (0-3): โœ“ Fresh, untested level โœ“ May provide strong reaction on first touch โš  Higher risk of breaking through (no historical support) โ†’ Strategy: Wait for confirmation on first touch, then trade the bounce/rejection MEDIUM TOUCHES (4-8): โœ“ Established, proven support/resistance โœ“ High probability of bounce/rejection โœ“ Significant liquidity and order flow present โ†’ Strategy: Trade reversals from these levels with tight stops MANY TOUCHES (9+): โš  Overused, "burnt out" level โš  Likely to break soon as too many traders are watching it โš  Weak support/resistance โ†’ Strategy: Expect a breakout, trade the break rather than the bounce 2๏ธโƒฃ FIBONACCI GOLDEN ZONE TRADING The Golden Zone (0.618-0.786 retracement) is a high-probability reversal area: โ€ข Look for price to retrace into the yellow box โ€ข Wait for confluence with other key levels โ€ข Enter on rejection patterns (pin bars, engulfing candles) โ€ข Stop loss above 0.786 for longs, below 0.618 for shorts The 0.5 level (outside the Golden Zone) acts as an additional confluence point. 3๏ธโƒฃ SESSION RANGE STRATEGY โ€ข London/NY/Asia ranges reset daily โ€ข Trade breakouts when price clears session high/low โ€ข Use session ranges to identify accumulation/distribution phases โ€ข Combine with key levels for high-probability setups 4๏ธโƒฃ MONDAY RANGE STRATEGY โ€ข Monday range defines the week's initial sentiment โ€ข Price often returns to Monday high/low throughout the week โ€ข Use Monday mid-point as a weekly pivot โ€ข Combine with weekly levels for swing trading โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐ŸŽ“ BEST PRACTICES โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โ€ข Use multiple timeframe confluence (e.g., PDH + PWH + Golden Zone) โ€ข Don't overtrade every level - focus on 4-8 touch levels โ€ข Combine with price action for entry confirmation โ€ข Use level strength to gauge probability of bounce vs. break โ€ข Adjust lookback bars based on your trading timeframe โ€ข Enable only the timeframes relevant to your strategy to avoid chart clutter โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โš ๏ธ IMPORTANT NOTES โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• โ€ข This indicator works on all timeframes but is optimized for intraday charts (1min-4H) โ€ข Touch counting is calculated based on YOUR current chart timeframe โ€ข Session times are in UTC by default - adjust timezone offset as needed โ€ข Max lines: 500, Max boxes: 50 (optimized for performance) โ€ข Some levels may merge when prices overlap (controlled by "Merge Levels" setting) โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ“œ VERSION HISTORY โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• Version 1.0 (2026) โ€ข Multi-timeframe key levels (4H, D, W, M, Q, Y) โ€ข Level Strength system with touch counting โ€ข FX Session ranges (London, NY, Asia) โ€ข Monday Range tracking โ€ข Fibonacci Golden Zones with 0.382, 0.5, 0.618, 0.786 levels โ€ข Extensive customization options โ€ข Global and individual color controls โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ† CREDITS โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• Developed by: Intenza Trading Technologies Created: 2026 License: This script is protected and available by invitation only โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• ๐Ÿ“ž SUPPORT & FEEDBACK โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ• If you find this indicator helpful, please: โ€ข Leave a comment with your feedback โ€ข Share your trading results โ€ข Suggest improvements for future versions โ€ข Follow for updates and new indicators Happy trading! ๐Ÿš€๐Ÿ“ˆ โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
Pine Scriptยฎ indicator
by Intenza_Investments
ORB Pro SuiteORB Pro Suite v6 โ€” Multi-Session + HTF ORB Build ORB Pro Suite v6 is an advanced Opening Range Breakout (ORB) tool designed for traders who want clarity, structure, and adaptability across NY, London, and Asia sessions โ€” without changing the core ORB logic that works. This update expands the original ORB Pro Suite to support overnight markets and multi-timeframe workflows, while keeping the strategy behavior consistent and familiar. โœ… Multi-Session Presets Choose from built-in session presets: NY AM (RTH) โ€” original behavior (unchanged) London Asia Custom Each preset aligns the ORB window with the selected session and pairs seamlessly with session-appropriate filters. โœ… ORB Build Mode You now have two ways to build your ORB: 1๏ธโƒฃ Time Window (Classic ORB) Uses session start/end times Identical to previous versions 2๏ธโƒฃ HTF Candle Count (Advanced) Build the ORB from 5m / 15m / 30m / 60m candles Works on any chart timeframe Ideal for traders who want ORB consistency across TFs Example: Build a 15-minute ORB from 1ร— 15m candle, even while trading on a 5m chart. โœ… Session Profile Defaults ORB Pro Suite introduces Session Profiles that automatically tune filters for different market conditions โ€” without changing the strategy logic. Profiles include: NY (Default) London (Breakout) Asia (Slow Session) Custom You can toggle Profile Defaults ON or OFF at any time. ๐Ÿง  Core ORB Logic (Unchanged) Original ORB framework: Opening range high/low Breakout confirmation Optional retest logic Golden Pocket (0.5โ€“0.618) validation Local + higher-timeframe trend filters Cooldown protection Visual risk/reward mapping If you traded NY with earlier versions, nothing has changed. โš™๏ธ Recommended Starting Settings For most users: ORB Build Mode: Time Window Session Profile: Auto Strictness: Balanced Advanced users: Enable HTF Candle Count Select desired ORB TF (5mโ€“60m) Adjust candle count to match your style All inputs remain fully customizable. ๐Ÿ“Š Designed For Futures (ES, NQ, YM, RTY) Forex pairs Gold & major indices Intraday price-action traders Session-based trading workflows โš ๏ธ Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice or trade recommendations. Trading involves risk. Always manage risk appropriately and trade responsibly.
Pine Scriptยฎ indicator
by TradeswithB
Range Multi-jour Double - SessionEnglish: Allows you to display the daily highs and lows for two specific sessions, along with the RSI shown as a numerical value at the top. This lets you see at a glance if it's overbought or oversold (turning red). It provides an OPR for both the London and NY sessions in a single indicator. Franรงais: Permet d'avoir le plus haut et le plus bas de 2 sessions pour chaque journรฉe + le RSI afficher en haut en chiffre pour voir en un coup d'oeil s'il est en surachat ou en survente, il devient rouge. Ca permet d'avoir un OPR pour la session de londre et de NY en 1 indicateur.
Pine Scriptยฎ indicator
by Noxe1985
CRT INTRADAY + MTF (15M/30M-12H custom) Candle Range TheoryCRT INTRADAY + MTF (15M/30Mโ€“12H) โ€” Candle Range Theory This indicator plots previous completed range High/Low levels for multiple time blocks, based on Candle Range Theory (CRT). It can display: Previous Day High / Low (CRT DAY) Previous block High / Low for: 15M, 30M, 1H, 2H, 3H, 4H, 5H, 6H, 7H, 8H, 9H, 10H, 11H, 12H Each block has its own color / line style / width, and optional time separators to visually mark new periods. How it works When a new time block starts (e.g., new 4H candle), the indicator stores the High/Low of the previous completed block and extends those levels forward on the chart. How to use CRT levels are commonly used as: intraday support/resistance liquidity reference levels targets and invalidation points breakout / rejection confirmation zones Typical approach: Watch how price reacts when returning to the previous block range. Use confluence with structure (BOS/CHOCH), volume, or your entry model. Settings Turn each timeframe ON/OFF (15M โ†’ 12H) Enable/disable separators for each timeframe Customize line colors, widths, and styles Optional labels with configurable size UTC Offset to align session/day boundaries with your preferred timezone Notes For performance, the MTF blocks are designed for lower timeframes (โ‰ค 60 minutes). This indicator is a visual reference tool and does not generate trade signals. Recommended Confluence (Optional) This CRT tool is designed to be used as a price reference framework. For higher-quality setups, combine CRT levels with confirmation tools such as: Crypto Radar / multi-symbol market context (trend strength, market regime, relative performance) SETUP HMTR (risk zones, extremes, pressure zones) Structure & price action (breakout + retest, rejection, liquidity sweep) A common workflow: Start with market context (risk / regime) Mark CRT levels (previous range highs/lows) Wait for a Setup/confirmation signal + clean price reaction at CRT Use CRT levels as targets / invalidation / S/R
Pine Scriptยฎ indicator
by SETUP_AB
ICT CISD+FVG+OBThis script is a high-performance ICT suite designed for traders who want a professional, "noise-free" chart. It identifies core institutional patternsโ€”Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD)โ€”across multiple timeframes. The script features a proprietary Proximity Cleanup Engine that automatically deletes old or broken levels, keeping your workspace focused only on price action that is currently tradeable. It strictly follows directional delivery rules for CISD and includes a 50-candle "freshness" limit to ensure you never have to manually clear old data from your past bars. Core Features Intelligent CISD: Only triggers Bullish CISD on green candles and Bearish CISD on red candles. Proximity Filter: Automatically wipes away any levels that are "miles away" from the current price. Clean Workspace: Removes broken session highs/lows and mitigated zones instantly. Full Customization: Toggle visibility and colors for every component via the settings menu.
Pine Scriptยฎ indicator
by garethsteadman47
MTF Target Radar [Rulph]MTF Target Radar - Multi-Timeframe Target Clustering with Machine Learning MTF Target Radar is an advanced target projection system that analyzes trendline breakouts across multiple timeframes (Daily to Biweekly) and clusters projected targets into high-probability zones. It dynamically calculates targets from actual breakout patterns and validates them through multi-timeframe confluence and machine learning, instead of using static support/resistance or fixed Fibonacci ratios. The system continuously tracks cluster performance (Reached / Lost / Timeout) and uses this history to improve future predictions through a transparent k-Nearest Neighbors (k-NN) logic, providing explainable adjustments to cluster quality rather than black-box scores. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” WHY COMBINE MULTI-TIMEFRAME TARGETS? โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Most target projection methods rely on a single timeframe or on arbitrary geometric ratios. MTF Target Radar is designed around three core ideas: 1. Cross-timeframe validation : A target zone where multiple higher timeframes converge (e.g., 1D, 2D, 3D, 4D, 5D, 6D, 1W, 2W) indicates a structural price magnet, where several independent trend cycles agree on a probable area of exhaustion, continuation, or reversal. 2. Dynamic projection from real patterns : Targets are computed from the geometry of each breakout (distance from the trendline to the extreme of the pattern) instead of being fixed percentages from arbitrary swing points. This makes projected levels adaptive to the actual volatility and structure of each pattern. 3. Adaptive learning : The system learns which cluster characteristics (density, strength, distance, momentum, market regime, etc.) historically lead to successful outcomes and then gently adjusts future cluster qualities in that direction. The result is a "target radar" where the most important zones stand out because they combine: multiple timeframes, favorable structure, and a positive historical profile with similar setups. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” COMPONENT 1: TRENDLINE BREAKOUT DETECTION โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” For each enabled higher timeframe (up to 8), the indicator performs the same deterministic process: 1. Swing pivot detection It finds swing highs and lows using a configurable pivot length (default 3 bars left and right), which defines local extremes for trendline construction. 2. Trendline construction - For bullish breakout setups (upward target clusters), it connects two descending swing highs to form a bearish trendline. - For bearish breakout setups (downward target clusters), it connects two ascending swing lows to form a bullish trendline. 3. Breakout detection A breakout is confirmed when the close crosses and holds beyond the trendline in the opposite direction of the preceding trend (close above a descending line for long setups, or below an ascending line for short setups), which indicates that the previous trend structure has failed. 4. Target projection The target is measured from the internal structure of the pattern, not guessed: For bullish (upward) targets: - The algorithm finds the lowest low between the second pivot and the breakout. - It computes the vertical distance from the trendline value at that bar to this lowest low. - This distance is then projected above the breakout level to obtain an initial target. For bearish (downward) targets, the logic is mirrored using the highest high within the pattern range. This makes each target a direct function of how "compressed" price was before breaking out, creating geometry-driven objectives that adapt to each pattern. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” COMPONENT 2: TARGET CLUSTERING โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” All individual targets from active timeframes are merged into clusters, which represent zones where multiple projected levels overlap or lie very close to each other. Clustering logic : - All targets are sorted by price. - Targets within a maximum distance (MAX_CLUSTER_DISTANCE, default 1.5% of price) are merged into a single cluster. - A cluster must contain at least MIN_CLUSTER_SIZE targets (default 2) to be considered valid and plotted. Cluster properties include: - Center : the average target price within the cluster. - Size : number of contributing targets; more targets imply stronger structural agreement. - Spread : the price width between the lowest and highest targets in the cluster. - Timeframe composition : which timeframes contributed (e.g., "1D, 2D, 3D, 1W"). A tight cluster where many timeframes converge is treated as a stronger and more precise target than scattered levels spread widely in price. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” COMPONENT 3: QUALITY SCORING SYSTEM โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Each cluster receives a base quality score from 0 to 1, computed as a weighted combination of four dimensions: 1. Density score (weight: 0.35) - Based on how narrow the cluster is relative to volatility. - Uses normalized spread: cluster_spread / ATR(14). - A smaller normalized spread leads to a higher density score. 2. Strength score (weight: 0.35) - Depends on the number of targets and their distribution across timeframes. - Uses a log-scaled function of cluster size and a density factor so that adding more confluences yields diminishing but still meaningful improvements. 3. Reachability score (weight: 0.20) - Based on the distance from current price to cluster center in percent terms. - Closer clusters are easier to reach; very distant ones are penalized unless the market and trend strongly support extended moves. 4. Momentum score (weight: 0.10) - Analyzes the last few candles (e.g., 5 bars) using candle bodies, wicks, and short-term rate of change to determine whether current price action supports moving into the cluster. Base quality formula : The base quality is a convex combination: Q_base = 0.35 ร— Density + 0.35 ร— Strength + 0.20 ร— Reachability + 0.10 ร— Momentum, with additional multiplicative penalties when reachability is too low or the overall market regime contradicts the direction of the cluster. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” COMPONENT 4: MACHINE LEARNING ADJUSTMENT โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” When the ML enhancement is enabled and there is enough history, the script uses an internal k-Nearest Neighbors approach to adjust cluster quality based on what worked or failed in the past. Feature extraction : For each cluster, the system extracts a feature vector including: - Base quality, distance to target, volatility, trend strength (ADX), RSI value, volume ratio, recent momentum, cluster size, density, market regime, volume trend, timeframe consistency, and price acceleration. Neighbor search : - Only clusters with the same direction (up or down) and with finalized outcomes (reached, lost, or timeout) are considered. - A Lorentzian distance metric is used: sum over all features of log(1 + |difference|) multiplied by per-feature weights, so that extreme outliers do not dominate. Graduated success scoring : Each historical cluster stores a continuous success_score, not just 0 or 1: - Full success when the target zone is actually reached with reasonable timing. - Partial credit when price comes very close but slightly misses the cluster or reaches only part of it. - Penalties when the cluster times out or price moves away strongly. ML adjustment of quality : The script computes an ML_probability for the active cluster by aggregating neighbors' success_score values weighted by similarity and recency. This ML-derived probability is then mixed with the base quality: Q_adjusted = Q_base ร— (1 โˆ’ ML_weight) + ML_probability ร— ML_weight, where ML_weight increases gradually with the amount and reliability of historical data and is capped so that ML cannot completely override the base structural logic. Additionally, performance metrics such as recent accuracy, false positives, false negatives, and total predictions are tracked to adapt how much trust is placed in ML adjustments over time. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” COMPONENT 5: TIME-TO-TARGET PREDICTION โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” When time prediction is enabled, the indicator estimates how many bars it may take for price to reach the cluster. This is an experimental feature designed for context, not as a hard promise. Base estimate : - Uses distance to cluster and current volatility as primary inputs. - Time is scaled differently for various asset classes (e.g., crypto vs. equities), so that fast markets do not get unrealistic long estimates and slow markets do not get unrealistically short ones. ML refinement : If enough successful historical clusters with similar features are available, the script: - Filters neighbors that actually reached their targets. - Uses their real bars_to_reach values. - Computes a weighted average to refine the time estimate. The final time prediction is a blend of base estimate and ML-derived value, with a confidence measure derived from the number, similarity, and recency of matching examples. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” CLUSTER STATE MACHINE โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Each cluster goes through a simple and explicit state machine: forming โ†’ active Once cluster quality rises above the minimum threshold, it becomes active and is displayed on the chart. active โ†’ reached The cluster is marked as reached when price touches at least the first target in its internal list (TP1), using direction-sensitive logic (high >= TP1 for long clusters, low <= TP1 for short clusters). active โ†’ lost If the underlying targets are structurally invalidated (e.g., fewer than MIN_CLUSTER_SIZE remain due to market movement), the cluster becomes lost. active โ†’ timeout If age exceeds MAX_CLUSTER_AGE (default 40 bars) without reaching the target, the cluster is marked as timeout, so stale setups do not stay active indefinitely. Final states (reached, lost, timeout) are recorded with snapshots of cluster features, bars_alive, bars_to_reach, and realized P&L percentage. These records feed back into the ML history. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” HOW TO USE MTF TARGET RADAR โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Basic workflow : 1. Enable the higher timeframes that are relevant to your trading style (e.g., 1Dโ€“6D + 1W for intraday or swing trading). 2. Set Min Quality Score (MIN_QUALITY) according to your risk tolerance: - 0.3โ€“0.4 for aggressive, - 0.5โ€“0.6 for balanced, - 0.7+ for conservative setups. 3. Optionally enable ML and time prediction once enough history is accumulated. 4. Use the trend context block (if enabled) to see whether clusters align with the dominant trend or go against it. Reading the chart : - Green boxes above price = upward target clusters (long objectives). - Red boxes below price = downward target clusters (short objectives). - Box width shows the price range of the cluster; box position shows where price is expected to gravitate. - Labels can include: contributing timeframes, cluster center, base quality, ML-adjusted quality, distance to target, and estimated time to target when enabled. Example entry logic : - For a long: price is below a strong green cluster, quality > 0.6, direction aligned with the current trend, and ML-adjusted quality is not significantly lower than base quality. - Entry can be timed using your own triggers (breakouts, pullbacks, candlestick patterns), while the cluster defines the target area rather than the exact entry. Example exit logic : - Take profit as price enters the cluster zone. - Scale out around cluster center or when realized move covers your planned R-multiple. - Exit early if the cluster flips to "lost" or if an opposite-direction high-quality cluster appears and is closer than the current one. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” WHAT MAKES MTF TARGET RADAR ORIGINAL โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” MTF Target Radar is not a simple overlay of trendlines and support/resistance; it implements a full pipeline: pattern-based target projection, cross-timeframe clustering, quality scoring, and machine learning feedback. Key aspects of originality include: - Multi-timeframe target clustering where zones are built from many independent breakouts instead of a single pattern. - Quantified cluster quality combining density, strength, reachability, and momentum in a transparent scoring model. - Graduated ML learning that uses continuous success scores and explainable k-NN, rather than opaque models. - State machine tracking of each cluster's lifecycle with explicit rules for success, failure, and timeout. - Optional time-to-target estimation that reuses the same ML history instead of guessing fixed time windows. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” CHART LEGEND โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” - Green box above current price: bullish target cluster. - Red box below current price: bearish target cluster. - Historical clusters can be marked with symbols: - โœ“ for reached, - โœ— for lost, - โฑ for timeout, often accompanied by a diagonal line showing entry-to-target path and final P&L%. - Optional trend context (LazyTrend/SuperTrend-style block): - Green background: bullish regime. - Red background: bearish regime. - Neutral colors: sideways or mixed regime. โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Additional Resources (Optional) : This description is complete and self-contained; no external materials are required to understand how the script works or how to use it. Any separate educational ideas or examples are optional and serve only as additional illustration. Disclaimer: MTF Target Radar is a decision-support tool, not a standalone trading system. All trading involves risk, and past cluster performance does not guarantee future results. Always backtest and apply proper risk management.
Pine Scriptยฎ indicator
by rulphru
Photon Price Action Scanner [JOAT]Photon Price Action Scanner - Multi-Pattern Recognition with Adaptive Filtering Introduction and Purpose Photon Price Action Scanner is an open-source overlay indicator that automates the detection of 15+ candlestick patterns while filtering them through multiple confirmation layers. The core problem this indicator solves is pattern noise: raw candlestick pattern detection produces too many signals, most of which fail because they lack context. This indicator addresses that by combining pattern recognition with trend alignment, volume-weighted strength scoring, velocity confirmation, and an adaptive neural bias filter. The combination of these components is not arbitrary. Each filter addresses a specific weakness in standalone pattern detection: Trend alignment ensures patterns appear in favorable market structure Volume-weighted strength filters out weak patterns with low conviction Velocity confirmation identifies momentum behind the pattern Neural bias filter adapts to recent price behavior to avoid counter-trend signals What Makes This Indicator Original While candlestick pattern scanners exist, this indicator's originality comes from: 1. Multi-Layer Filtering System - Patterns must pass through trend, strength, velocity, and neural bias filters before generating signals. This dramatically reduces false positives compared to simple pattern detection. 2. Adaptive Neural Bias Filter - A custom momentum-adjusted EMA that learns from recent price action using a configurable learning rate. This is not a standard moving average but an adaptive filter that accelerates during trends and smooths during consolidation. 3. Pattern Strength Scoring - Each pattern receives a strength score based on volume ratio and body size, allowing traders to focus on high-conviction setups rather than every pattern occurrence. 4. Smart Cooldown System - Prevents signal overlap by enforcing minimum bar spacing between pattern labels, keeping charts clean even when "Show All Patterns" is enabled. How the Components Work Together Step 1: Pattern Detection The indicator scans for 15 candlestick patterns using precise mathematical definitions: // Example: Bullish Engulfing requires the current bullish candle to completely // engulf the previous bearish candle with a larger body isBullishEngulfing() => bool pattern = close < open and close > open and open <= close and close >= open and close - open > open - close pattern // Example: Three White Soldiers requires three consecutive bullish candles // with each opening within the previous body and closing higher isThreeWhiteSoldiers() => bool pattern = close > open and close > open and close > open and close < close and close < close and open > open and open < close and open > open and open < close pattern Step 2: Strength Calculation Each detected pattern receives a strength score combining volume and body size: float volRatio = avgVolume > 0 ? volume / avgVolume : 1.0 float bodySize = math.abs(close - open) / close float baseStrength = (volRatio + bodySize * 100) / 2 This ensures patterns with above-average volume and large bodies score higher than weak patterns on low volume. Step 3: Trend Alignment Patterns are checked against the trend direction using an EMA: float trendEMA = ta.ema(close, i_trendPeriod) int trendDir = close > trendEMA ? 1 : close < trendEMA ? -1 : 0 Bullish patterns in uptrends and bearish patterns in downtrends receive priority. Step 4: Neural Bias Filter The adaptive filter uses a momentum-adjusted EMA that responds to price changes: neuralEMA(series float src, simple int period, simple float lr) => var float neuralValue = na var float momentum = 0.0 if na(neuralValue) neuralValue := src float error = src - neuralValue float adjustment = error * lr momentum := momentum * 0.9 + adjustment * 0.1 neuralValue := neuralValue + adjustment + momentum neuralValue The learning rate (lr) controls how quickly the filter adapts. Higher values make it more responsive; lower values make it smoother. Step 5: Velocity Confirmation Price velocity (rate of change) must exceed the average velocity for strong signals: float velocity = ta.roc(close, i_trendPeriod) float avgVelocity = ta.sma(velocity, i_trendPeriod) bool velocityBull = velocity > avgVelocity * 1.5 Step 6: Signal Classification Signals are classified based on how many filters they pass: Strong Pattern : Pattern + strength threshold + trend alignment + neural bias + velocity Ultra Pattern : Strong pattern + gap in same direction + velocity confirmation Watch Pattern : Pattern detected but not all filters passed Detected Patterns Classic Reversal Patterns: Bullish/Bearish Engulfing - Complete body engulfment with larger body Hammer - Long lower wick (2x body), small upper wick, bullish context Shooting Star - Long upper wick (2x body), small lower wick, bearish context Morning Star - Three-bar bullish reversal with small middle body Evening Star - Three-bar bearish reversal with small middle body Piercing Line - Bullish candle closing above midpoint of previous bearish candle Dark Cloud Cover - Bearish candle closing below midpoint of previous bullish candle Bullish/Bearish Harami - Small body contained within previous larger body Doji - Body less than 10% of total range (indecision) Advanced Patterns (Optional): Three White Soldiers - Three consecutive bullish candles with rising closes Three Black Crows - Three consecutive bearish candles with falling closes Tweezer Top - Equal highs with reversal candle structure Tweezer Bottom - Equal lows with reversal candle structure Island Reversal - Gap isolation creating reversal structure Dashboard Information The dashboard displays real-time analysis: Pattern - Current detected pattern name or "SCANNING..." Bull/Bear Strength - Volume-weighted strength scores Trend - UPTREND, DOWNTREND, or SIDEWAYS based on EMA RSI - 14-period RSI for momentum context Momentum - 10-period momentum reading Volatility - ATR as percentage of price Neural Bias - BULLISH, BEARISH, or NEUTRAL from adaptive filter Action - ULTRA BUY/SELL, BUY/SELL, WATCH BUY/SELL, or WAIT Visual Elements Pattern Labels - Abbreviated codes (BE=Engulfing, H=Hammer, MS=Morning Star, etc.) Neural Bias Line - Adaptive trend line showing filter direction Gap Boxes - Cyan boxes highlighting price gaps Action Zones - Dashed boxes around strong pattern areas Velocity Markers - Small circles when velocity confirms direction Ultra Signals - Large labels for highest conviction setups How to Use This Indicator For Reversal Trading: 1. Wait for a pattern to appear at a key support/resistance level 2. Check that the Action shows "BUY" or "SELL" (not just "WATCH") 3. Confirm the Neural Bias aligns with your trade direction 4. Use the strength score to gauge conviction (higher is better) For Trend Continuation: 1. Identify the trend using the Trend row in the dashboard 2. Look for patterns that align with the trend (bullish patterns in uptrends) 3. Ultra signals indicate the strongest continuation setups For Filtering Noise: 1. Keep "Show All Patterns" disabled to see only filtered signals 2. Increase "Pattern Strength Filter" to see fewer, higher-quality patterns 3. Enable "Velocity Confirmation" to require momentum behind patterns Input Parameters Scan Sensitivity (1.0) - Overall detection sensitivity multiplier Pattern Strength Filter (3) - Minimum strength score for strong signals Trend Period (20) - EMA period for trend determination Show All Patterns (false) - Display all patterns regardless of filters Advanced Patterns (true) - Enable soldiers/crows/tweezer detection Gap Analysis (true) - Enable gap detection and boxes Velocity Confirmation (true) - Require velocity for strong signals Neural Bias Filter (true) - Enable adaptive trend filter Neural Period (50) - Lookback for neural bias calculation Neural Learning Rate (0.12) - Adaptation speed (0.01-0.5) Timeframe Recommendations 1H-4H: Best balance of signal frequency and reliability Daily: Fewer but more significant patterns 15m-30m: More signals, requires tighter filtering (increase strength threshold) Limitations Pattern detection is mechanical and does not consider fundamental context Neural bias filter may lag during rapid trend reversals Gap detection requires clean price data without after-hours gaps Strength scoring favors high-volume patterns, which may miss valid low-volume setups - Made with passion by officialjackofalltrades
Pine Scriptยฎ indicator
by officialjackofalltrades
3
Market Structure MTF [HH/HL/LH/LL + CHoCH + BOS]Automatic market structure detection with pivot classification (HH/HL/LH/LL), Change of Character (CHoCH) and Break of Structure (BOS) signals. Multi-timeframe support allows overlaying higher timeframe structure on any chart. โ–ˆ OVERVIEW This indicator automatically detects and classifies pivot points to visualize market structure. It identifies trend direction through the sequence of highs and lows, and signals potential reversals through Change of Character (CHoCH) and trend continuation through Break of Structure (BOS). โ–ˆ CONCEPTS Market structure analysis is based on the relationship between consecutive pivot points: Bullish Structure: โ€ข HH (Higher High): A swing high that exceeds the previous swing high โ€ข HL (Higher Low): A swing low that stays above the previous swing low โ€ข Sequence: HH โ†’ HL โ†’ HH โ†’ HL confirms uptrend Bearish Structure: โ€ข LH (Lower High): A swing high that fails to exceed the previous swing high โ€ข LL (Lower Low): A swing low that breaks below the previous swing low โ€ข Sequence: LH โ†’ LL โ†’ LH โ†’ LL confirms downtrend Structure Shifts: โ€ข CHoCH (Change of Character): Signals when the expected sequence breaks, suggesting potential trend reversal โ€ข BOS (Break of Structure): Confirms trend continuation when price breaks a pivot level in trend direction โ–ˆ FEATURES โ€ข Automatic pivot detection using configurable lookback period โ€ข Smart classification comparing each pivot to its predecessor โ€ข CHoCH detection when trend sequence is violated โ€ข BOS signals with anti-repetition filter to reduce noise in consolidation zones โ€ข Multi-Timeframe (MTF) support to display higher timeframe structure โ€ข Horizontal dashed lines marking HTF pivot levels โ€ข Clean visual output with color-coded labels โ–ˆ SETTINGS Structure Settings: โ€ข Pivot Length: Number of bars on each side required to confirm a pivot (default: 5) - Lower values (2-3) = more sensitive, detects minor swings - Higher values (10-20) = less sensitive, only major structure Multi-Timeframe: โ€ข Show HTF Structure: Enable/disable higher timeframe overlay โ€ข HTF Timeframe: Select the higher timeframe to display (D, W, M, etc.) Visualization: โ€ข Show Local Structure: Toggle visibility of current timeframe pivots Filters: โ€ข BOS Buffer: Minimum bars between BOS signals to avoid repetition โ–ˆ HOW TO USE The indicator offers three visualization modes: 1. LOCAL STRUCTURE ONLY (default) โ”œโ”€ Show Local Structure: โœ“ Enabled โ”œโ”€ Show HTF Structure: โœ— Disabled โ””โ”€ Use case: Analyze structure on the current timeframe only 2. HIGHER TIMEFRAME ONLY (recommended for clarity) โ”œโ”€ Show Local Structure: โœ— Disabled โ”œโ”€ Show HTF Structure: โœ“ Enabled โ”œโ”€ HTF Timeframe: Select desired TF (D, W, M) โ””โ”€ Use case: View higher TF context on lower TF charts without clutter 3. BOTH TIMEFRAMES (advanced) โ”œโ”€ Show Local Structure: โœ“ Enabled โ”œโ”€ Show HTF Structure: โœ“ Enabled โ””โ”€ Use case: See confluence between timeframes โš ๏ธ WARNING: This mode can make the chart visually crowded. Recommended only for experienced users who need both layers simultaneously. โ–ˆ RECOMMENDED SETTINGS BY TIMEFRAME | Chart TF | Pivot Length | Suggested HTF | |----------|--------------|---------------| | 1H | 10-15 | 4H or D | | 4H | 5-10 | D or W | | 1D | 5-7 | W | | 1W | 3-5 | M | The goal is to make pivots on lower timeframes represent equivalent time context. โ–ˆ VISUAL REFERENCE Local Structure Labels: โ€ข ๐ŸŸฉ Green (above): HH - Higher High โ€ข ๐ŸŸฅ Red (above): LH - Lower High โ€ข ๐ŸŸฉ Green (below): HL - Higher Low โ€ข ๐ŸŸฅ Red (below): LL - Lower Low โ€ข ๐ŸŸง Orange: CHoCH - Change of Character โ€ข ๐ŸŸฆ Blue: BOS - Break of Structure HTF Structure Labels: โ€ข ๐Ÿฉต Teal: HH/HL - Bullish HTF structure โ€ข ๐ŸŸซ Maroon: LH/LL - Bearish HTF structure โ€ข ๐ŸŸจ Yellow: CHoCH - HTF trend shift โ€ข ๐ŸŸฆ Navy: BOS - HTF structure break โ€ข โ”ˆโ”ˆ Dashed lines mark HTF pivot price levels โ–ˆ INTERPRETATION GUIDELINES Reading the sequence: โ€ข Consistent HH + HL = Bullish bias, look for long opportunities โ€ข Consistent LH + LL = Bearish bias, look for short opportunities โ€ข CHoCH after trending sequence = Potential reversal, exercise caution โ€ข BOS in trend direction = Trend continuation confirmed Combining timeframes: โ€ข HTF structure defines the primary bias โ€ข Local structure provides entry timing โ€ข Confluence (both TFs aligned) = Higher probability setups โ–ˆ LIMITATIONS โ€ข Pivots are confirmed with a delay equal to the Pivot Length parameter โ€ข In ranging markets, multiple CHoCH signals may appear (this is correct behavior - the market IS changing direction frequently) โ€ข CHoCH signals potential reversal, not guaranteed reversal โ€ข Works best on liquid markets with clean price action โ–ˆ TECHNICAL NOTES โ€ข Uses ta.pivothigh() and ta.pivotlow() for pivot detection โ€ข request.security() fetches higher timeframe data โ€ข Anti-repetition logic prevents BOS signal clustering in consolidation โ€ข All crossover/crossunder calculations are performed at global scope for consistency (Pine Script v6 compliance) โ–ˆ CREDITS Developed for swing traders and position traders who use market structure for trend analysis and trade timing. Feedback and suggestions are welcome.
Pine Scriptยฎ indicator
by JuanDeNogoya
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