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PLTR (Palantir Technologies) – Daily Chart Outlook📈 PLTR (Palantir Technologies) – Daily Chart Outlook Timeframe: 1D At the recent close, PLTR is trading at $174.01 (+1.09%), with pre-market action hovering near $175.80. The chart is showing signs of a bullish breakout continuation with a clean upward structure. 🔍 Technical Breakdown: RSI Divergence (14 Close): RSI is at 43.76, just above oversold levels, but with multiple bearish divergences flagged recently. This suggests momentum is slowing, so caution is warranted. Wave Structure: Price is following a bullish zig-zag pattern, forming higher highs and higher lows. We can see potential Elliott Wave impulses or harmonic structure, especially around the 0.73 retracement/pivot zone. Next Resistance Levels: 📌 $200 → $240 → $260 These are key resistance zones; the chart highlights a potential "SALE" tag at the upper level, implying a projected take-profit zone. Support to Watch: ⚠️ If the breakout fails, $160–$165 could act as a backtest zone before any continued move upward. 🧠 Conclusion: PLTR is showing strength with bullish continuation potential, but momentum divergence (RSI) and a steep prior move suggest a possible correction or consolidation before further upside. 📉 Bearish divergence = caution 📈 Upside targets = $200+, with key resistance near $260 ⚠️ Disclaimer: This is general information only and not financial advice. Always do your own research or consult a licensed professional.
Pine Script® indicator
by Tomerrevaya
W%R Cycle Swings - MTF Trend📄 English Description Overview The W%R Cycle Swings – MTF Trend indicator is a market-structure tool built on top of Williams %R cycle logic. It detects meaningful swing highs and lows from W%R behavior, then uses those swings to locate the first Market Structure Shift (MSS-first) and track multi-timeframe trend bias + cancel levels. This is not a random mashup of indicators: all components are derived from one core concept—W%R cycles—and are combined into a single, coherent framework for reading structure and trend across timeframes. Core Concepts 1. Williams %R Cycle Swings (Current Timeframe) Instead of using price swings based only on highs/lows, this script uses Williams %R behavior to define swing points: Swing High pattern: OS → OB → OS Swing Low pattern: OB → OS → OB The script: Tracks overbought/oversold states using user-defined levels. Builds a zone for each potential swing (accumulating the extremums during the OB/OS phase). Confirms a swing only when the opposite state appears again. Plots labels on the chart: Swing High label above price Swing Low label below price Optional price display on the label (toggle in settings). This makes the swing points cycle-based rather than purely bar-based. 2. MSS-first (Market Structure Shift on Current TF) Once swings are defined, the script looks for the first break of the most recent swing: Bullish MSS-first: price breaks above the last confirmed swing high. Bearish MSS-first: price breaks below the last confirmed swing low. You can choose whether to confirm by close or by wick (mssByClose input). When an MSS-first is detected: A colored label (bullish/bearish) is drawn at the relevant swing level. A horizontal line is drawn from the swing bar to the MSS bar to visually connect the structure break. Internal trendBias is updated to Up or Down, preventing duplicate MSS labels in the same direction. This gives a clear, visual definition of when the structure actually shifted based on W%R-driven swings. 3. MTF MSS-first Trend & Cancel Logic The same MSS-first concept is applied inside a function and called via request.security() on multiple timeframes (5m, 15m, 30m, 1h, 4h). For each timeframe, the function: Recalculates W%R swings with the same parameters. Detects MSS-first events (bullish or bearish). Tracks a trend state: 1 → Up trend -1 → Down trend 0 → Unknown / Neutral Maintains a cancel level, which represents the price that would invalidate the current trend: In an uptrend, cancel is typically the last relevant swing low. In a downtrend, cancel is typically the last relevant swing high. This provides: Trend direction per TF (Up / Down / -) A concrete price level that acts as a structural “stop” or invalidation level. 4. MTF Trend Table (Visual Overview) If enabled, a compact table is displayed on the chart (position configurable): Columns: 5m, 15m, 30m, 1h, 4h Rows: Trend → shows Up, Down or -, with color-coded background. Cancel → shows the current cancel price for that timeframe. This creates a multi-timeframe structure dashboard that tells you: Which timeframes are currently in an Up or Down MSS-based trend. At which price the current structural view would be canceled. 5. Alert Conditions The script includes alert conditions for: Current timeframe MSS-first: Bullish MSS-first (structure break up). Bearish MSS-first (structure break down). MTF MSS-first events for: 5m, 15m, 30m, 1h, 4h (Bullish & Bearish separately). This allows you to receive notifications when a fresh structural shift happens on any of the tracked timeframes. How to Use Use Swing High / Swing Low labels to understand the current W%R cycle structure on your main timeframe. Watch for MSS-first labels to catch the first break of structure after a swing completes. Use the MTF Trend table: Trade in the direction of higher-timeframe trends. Use cancel levels as logical invalidation areas or structural stop guides. Combine the current timeframe swings with MTF bias: Example: look for long setups when H1/H4 show Up trend and price forms new bullish MSS on lower TF. The tool is suitable for both intraday and swing trading, on any symbol and timeframe. Why This Script Is Original It links cycle-based swings from Williams %R directly to MSS-first detection, rather than using generic pivot logic. It combines: W%R-driven swing definition, MSS-first structural breaks, Multi-timeframe trend state, Cancel (invalidation) levels, Alerts for MSS events on multiple TFs, into a single, coherent market-structure framework. The MTF table is not a generic dashboard: it is specifically built around this W%R-MSS-first structural model, which gives traders both trend context and exact invalidation prices. 🇹🇭 Thai Description — คำอธิบายภาษาไทย ภาพรวม อินดิเคเตอร์ W%R Cycle Swings – MTF Trend เป็นเครื่องมืออ่านโครงสร้างราคา โดยใช้ “วงจรของ Williams %R” เป็นหลักในการหา Swing High / Swing Low แล้วใช้จุด Swing เหล่านั้นมาหา MSS-first (จุดเปลี่ยนโครงสร้างครั้งแรก) จากนั้นต่อยอดไปสู่ การดูแนวโน้มหลายกรอบเวลา + ระดับ Cancel (จุดที่โครงสร้างจะถูกมองว่าพัง) แนวคิดหลัก Swing จาก Williams %R (TF ปัจจุบัน) ใช้รูปแบบ OS → OB → OS เพื่อยืนยัน Swing High และ OB → OS → OB เพื่อยืนยัน Swing Low เมื่อยืนยันแล้วจะสร้าง Label “Swing High / Swing Low” บนกราฟ และสามารถแสดงราคาบนป้ายได้ ทำให้จุด Swing มีพื้นฐานจาก “Cycle ของ W%R” ไม่ใช่แค่ high/low เฉย ๆ MSS-first บน TF ปัจจุบัน ถ้าราคาทะลุ Swing High ล่าสุด → มองเป็น Bullish MSS-first ถ้าราคาทะลุ Swing Low ล่าสุด → มองเป็น Bearish MSS-first เลือกได้ว่าจะยืนยันจาก Close หรือจาก ไส้แท่งเทียน วาดป้าย MSS + เส้นเชื่อมจาก Swing ไปยังจุดที่เกิด MSS มีตัวแปร trendBias ป้องกันไม่ให้ยิง MSS ซ้ำในทิศทางเดิมจนรก MTF MSS-first + Cancel Logic นำ Logic เดียวกันไปใช้กับ TF: 5m, 15m, 30m, 1h, 4h สำหรับแต่ละ TF จะได้: สถานะแนวโน้ม: Up / Down / Unknown ระดับ Cancel: ราคาที่ถ้าหลุดจะถือว่าโครงสร้างเทรนด์นั้นถูก “ยกเลิก” เช่น ในเทรนด์ขาขึ้น ระดับ Cancel มักมาจาก Swing Low ล่าสุด ฯลฯ MTF Table บนกราฟ แสดง Trend + Cancel ของ 5 TF ในรูปแบบตาราง อ่านง่าย: แถว Trend เป็น Up/Down พร้อมสีพื้น, แถว Cancel เป็นตัวเลขราคา ใช้ดูภาพรวมโครงสร้างหลาย TF ในมุมมองเดียว Alert Conditions แจ้งเตือน MSS-first ของ TF ปัจจุบัน แจ้งเตือน MSS-first ของ TF 5m / 15m / 30m / 1h / 4h แยก Bull / Bear วิธีใช้งาน ใช้ Swing High / Swing Low เพื่อดูว่าโครงสร้าง cycle ปัจจุบันอยู่ตรงไหน รอให้เกิด MSS-first เพื่อมองว่า “โครงสร้างราคาเริ่มกลับตัวแล้ว” ใช้ Table MTF: ดูว่า TF ไหนเป็น Up / Down ใช้ราคาบรรทัด Cancel เป็นแนว “จุดตัดขาดทุนเชิงโครงสร้าง” หรือจุดเปลี่ยนมุมมอง เทรดตามทิศทาง TF ใหญ่ แล้วหา Entry จาก MSS ของ TF เล็ก จุดเด่น / ความเป็น Original ใช้ Williams %R เป็นฐานในการสร้าง Swing Pattern แทนการใช้ Pivot ธรรมดา เชื่อม W%R Swing เข้ากับแนวคิด MSS-first อย่างเป็นระบบ มีทั้ง: ป้าย Swing ป้าย MSS + เส้นเชื่อม MTF Trend + Cancel Alert เตือน MSS ในหลาย TF อยู่ในสคริปต์เดียว เหมาะกับคนที่ต้องการอ่านโครงสร้างราคาแบบมีที่มาที่ไป ไม่ใช่แค่ตามอินดี้ตัวเดียวครับ ✅
Pine Script® indicator
by August_Supertrader
XAUUSD Recovery for FamilyXAUUSD Recovery for Family is a trend-tracking tool based on a stepped 109-period EMA. It highlights market direction using automatic color changes and background shading. How It Works A modified 109-period EMA is used to detect trend bias The line only updates in steps after a fixed number of bars (MA Step = 33) Background color changes when trend direction shifts Alerts notify the trader when price crosses above or below the trend line What It Shows 🟢 Green chart background = bullish bias 🔴 Red chart background = bearish bias 📢 Alert signals are generated when the price crosses the stepped EMA What It Does NOT Do ❌ It does not execute trades automatically ❌ It does not guarantee profit or accuracy ❌ It does not repaint signals Important Notes This is a trend visualization tool only Always combine with proper risk management and confirmation tools Past performance is not a guarantee of future results This script is for educational and research purposes
Pine Script® indicator
by cupra_inc
CG Momentum - Table✅ 📄 English Description Overview The CG Momentum – Table indicator is a multi-timeframe momentum dashboard designed to help traders quickly evaluate market conditions across eight key timeframes. Instead of combining indicators arbitrarily, this script integrates four different momentum components—Williams %R, Stochastic %K, MACD slope, and RSI vs RSI-SMA trend state—into one unified framework. Each element contributes a unique perspective on momentum behavior, allowing traders to see alignment or divergence across all timeframes in a single glance. Concept & Logic 1. Williams %R Cycle Position (Overbought/Oversold) Uses a custom calculation instead of built-in W%R to ensure consistent values across security() calls. Highlights overbought/oversold cycles using user-defined threshold levels. Helps identify cycle turning points across higher and lower timeframes. 2. Stochastic %K Momentum (9-3-3 Model) Computes raw %K manually, then applies smoothing to maintain accuracy in lower timeframes. Evaluates overbought/oversold states based on traditional Stoch thresholds. Color-coded for quick visual confirmation. 3. MACD Slope State (+ / –) Instead of using MACD crossovers, this script analyzes MACD momentum direction by detecting 2-bar slope patterns. A positive state means MACD is accelerating upward; negative means it is decelerating downward. Ideal for spotting early trend acceleration. 4. RSI Trend State (RSI vs RSI-SMA) Compares RSI(14) to its SMA(14). Produces a + (bullish) or – (bearish) state. A clean method to detect underlying trend bias in any timeframe. How the Dashboard Works The script displays a clean table in the bottom-right corner of the chart with the following columns: TF | W%R | Stoch K | MACD | RSI For each timeframe (5m → 1M): W%R and Stoch cells are color-coded: Green = Overbought (cycle top) Red = Oversold (cycle bottom) Gray = Neutral MACD shows + or – with a trend-colored background. RSI shows + or – depending on whether RSI is above/below its moving average. This provides a compact yet powerful view of multi-timeframe momentum consensus. How to Use Look for alignment across timeframes (e.g., several timeframes showing bullish momentum). Confirm entries by checking whether short-term momentum aligns with higher-timeframe structure. Use W%R and Stoch colors to identify cycle extremes. Use MACD/RSI states to confirm whether momentum is strengthening or weakening. Ideal for intraday, swing, or position trading. Why This Script Is Unique Uses custom implementations for W%R, Stoch, RSI-MA state, and MACD slope instead of built-ins, ensuring consistent behavior across multi-timeframe security() calls. Provides four distinct momentum perspectives in one unified visual tool. Designed for clarity, reducing chart noise by consolidating indicators into one panel. Suitable for all assets and timeframes. 🇹🇭 คำอธิบายภาษาไทย (สำหรับผู้ใช้ไทย) ภาพรวม อินดิเคเตอร์ CG Momentum – Table เป็นแดชบอร์ดวัดโมเมนตัมแบบหลายกรอบเวลา ที่รวมสัญญาณสำคัญ 4 ประเภท ได้แก่ Williams %R, Stochastic %K, MACD slope และสถานะ RSI เทียบ SMA ไว้ในตารางเดียว เพื่อช่วยให้เทรดเดอร์มองเห็นภาพรวมของโมเมนตัมในทุกไทม์เฟรมได้อย่างชัดเจนและอ่านง่าย แนวคิดและหลักการทำงาน 1. Williams %R (วงจรราคาซื้อเกิน/ขายเกิน) คำนวณด้วยสูตรเองเพื่อความแม่นยำในทุก TF เน้นการหา cycle top/bottom 2. Stochastic %K (โมเมนตัมระยะสั้น) ใช้สูตร 9-3-3 พร้อม smoothing ช่วยหาจุดเร่งหรืออ่อนแรงของราคาในช่วงสั้น 3. MACD Slope State ไม่ใช้สัญญาณ cross ใช้การตรวจ “ความชันของ MACD” ว่ากำลังเร่งขึ้นหรือเร่งลง เหมาะกับการจับสัญญาณเร่งตัวของแนวโน้ม 4. RSI Trend State เปรียบเทียบ RSI กับค่าเฉลี่ยของมันเอง ถ้า RSI > SMA → ขาขึ้น ถ้า RSI < SMA → ขาลง วิธีใช้งาน ดูความสอดคล้องของโมเมนตัมระหว่างหลาย ๆ TF ถ้าหลายกรอบเวลาชี้ไปทางเดียวกัน → ความน่าเชื่อถือสูง ใช้สีของ W%R / Stoch เพื่อดู cycle ใช้ MACD / RSI เพื่อยืนยันทิศทางแรงซื้อหรือแรงขาย จุดเด่นของสคริปต์นี้ เป็นการรวม Momentum Indicators แบบมีเหตุผล ไม่ใช่การนำอินดี้หลายตัวมายำ แสดงข้อมูลสำคัญทั้ง 4 ด้านในตารางเดียว ออกแบบให้ “อ่านง่าย”, “ไม่รก chart”, “เข้าใจเร็ว” เหมาะทั้ง Day trade, Swing และ Long-term
Pine Script® indicator
by August_Supertrader
TrendX Amila Bro TrendX Fib + RSI Divergence is a modern trend-following + confluence-based trading tool designed to reduce false signals and improve accuracy. It combines EMA crossover , RSI momentum , Fibonacci retracement zones , and RSI divergence to provide high-quality BUY/SELL signals. --- 🔥 Core Features ### ✅ 1. Trend Detection (EMA 9/21 by default)] The script identifies trend shifts using fast and slow EMAs. * BUY when Fast EMA crosses above Slow EMA + RSI confirmation * SELL when Fast EMA crosses below Slow EMA + RSI confirmation These are the Base Signals — always shown. --- ### ✅ 2. Fibonacci Confluence Filter (Optional) Signals become stronger when price pulls back into key Fib zones: * 0.5 retracement * 0.618 golden ratio This helps avoid chasing late entries and improves accuracy in trend pullbacks. --- ### ✅ 3. RSI Divergence Filter (Optional) Detects both: * Bullish Divergence → BUY * Bearish Divergence → SELL When divergence agrees with EMA trend shift, a Filtered BUY+/SELL+ signal is shown. --- ### ✅ 4. Two Types of Signals ✔ BUY / SELL Base signals from EMA + RSI (appears even if filters are OFF) ✔ BUY+ / SELL+ Strong signals using * EMA Trend * RSI Confirmation * Fibonacci Confluence * RSI Divergence These are rare but extremely high-probability entries. --- ### ✅ 5. Visual Elements * EMAs * Fibonacci 50% & 61.8% levels * Divergence markers * BUY / SELL arrows * BUY+ / SELL+ arrows for filtered confluence entries --- ### ✅ 6. Alerts Included You can set TradingView alerts for: * BUY+ (strong long signal) * SELL+ (strong short signal) Great for mobile/Telegram alerts. --- ## 🎯 How Traders Use This * Scalping (1m, 5m) * Intraday (15m, 30m, 1H) * Swing trading (4H, 1D) Works on **Forex, Crypto, Indices, Metals, Stocks**. --- ## ⚠️ Disclaimer No indicator guarantees 100% accuracy. Always combine with proper risk management and market context. --- ## ⭐ Ideal For: * Trend traders * Pullback traders * Divergence traders * Anyone wanting cleaner, filtered BUY/SELL signals ---
Pine Script® indicator
by Amila_Bro
4h First Candle Reversion (5m Exec) vc1.3 [@theadventuredan]4h First Candle Reversion – Indicator (5m Execution) A precision intraday scalping tool based on the New York daily opening range This indicator implements a powerful and simple intraday scalping concept popularized in professional trading circles and recently explained in a well-known podcast. It uses the first fully closed 4-hour candle of the trading day (typically based on New York time) to define a daily range — and then generates high-probability reversion signals when price fakes out above or below that range. How It Works 1. The Daily 4-Hour Range (The “Opening Range”) At the start of each session day (by default: 00:00 → 04:00 New York time), the indicator builds a range using: • Range High = highest price of that 4h window • Range Low = lowest price of that 4h window Once the 4-hour window ends and the candle has fully closed, the box becomes fixed for the remainder of the day. The box can be displayed: • Only for the current day (clean mode), or • For all past days (historical mode) ________________________________________ 2. The Reversion Setup This indicator does not trade breakouts. It identifies failed breakouts / fakeouts using a strict two-candle confirmation: Short Reversion A short signal is generated when: 1. A 5-minute candle closes above the Range High 2. The very next candle closes back inside the range → This indicates a failed breakout to the upside. Long Reversion A long signal is generated when: 1. A 5-minute candle closes below the Range Low 2. The next candle closes back inside the range → This indicates a failed breakdown to the downside. Only the close of the candle is considered — wicks alone do not trigger signals. ________________________________________ 3. Why This Setup Works This method is built around the idea that the first 4 hours of the session define the market’s opening structure: • Many early breakouts during the day fail and revert. • Liquidity is often engineered around the opening range boundaries. • Fading these failed breakouts with a clear structure provides favorable risk/reward. The reversion pattern frequently produces: • Tight, logical stop-loss levels (the outside candle’s high/low) • High-quality 2R+ opportunities • 1–2 strong signals per day, on average ________________________________________ 4. Features Included in This Indicator ✔ Automatic session timezone detection (NY by default) ✔ Integer-based timezone selector (avoids Pine Script issues) ✔ Highlighting of the first 4-hour build window ✔ Display of the daily range box ✔ Optional mode to show only the latest box ✔ Clear visual LONG/SHORT triangles on valid reversion setups ✔ Works best on 5-minute charts (as designed) ✔ Clean, efficient logic for both live trading and backtesting (strategy version coming soon) ________________________________________ How To Use It 1. Set Session TZ = America/New_York (recommended) 2. Keep Block Start = 0 and Block Length = 4 3. Trade on a 5m chart 4. Watch for: o Price closes outside the 4h range o Next candle closes back inside o LONG or SHORT marker appears These markers reflect the exact textbook reversion setup. ________________________________________ Future Version (Strategy) A full strategy version with: • Automatic long/short entries • Stop Loss at breakout extreme • 2R Take Profit • Optional ATR-based SL • Full backtest statistics …will be released as the next update.
Pine Script® indicator
by d_jaeger
DeltaFlow Matrix═════════════════───────── DELTAFLOW MATRIX - COMPLETE GUIDE For 1-Minute Scalping ═════════════════───────── ─────────────────────────────────────── 📊 VISUAL ELEMENTS EXPLAINED (What You See on the Chart) ─────────────────────────────────────── 🟦🟥 RED/GREEN BARS ON THE RIGHT = Delta Flow Direction The horizontal bars extending right from your chart show WHO controlled the price at each level. Green = bulls won, Red = bears won. Longer bars = more volume traded at that price. Example: If BTC is at $100,000 and you see a massive green bar, that means buyers aggressively absorbed all sell orders at that exact price level. 📊 GRADIENT BACKGROUND (Heat Map) = Volume Intensity The colored background behind the bars shows volume concentration. Darker/more opaque = heavy trading, lighter/transparent = light trading. Example: A dark background at $99,800 means that's where most traders are positioned - it's a "magnet price" where BTC keeps returning. 🟩 GREEN BOX WITH BORDER = POC (Point of Control) This is THE most important price on your chart - where the absolute highest volume traded. This is where the majority of traders are stuck. Example: POC at $99,950 means most BTC holders bought/sold there. Price will be magnetically pulled back to test this level repeatedly. ⬜ WHITE DOTTED LINES = VA High and VA Low (Value Area) These lines contain 70% of all trading volume. Think of them as "fair price boundaries." Example: VA High at $100,200, VA Low at $99,700 means BTC's "fair value range" is $99,700-$100,200. Breakouts above/below these lines are significant moves. 💜 MAGENTA BORDER ON BARS = MICRO-SR (Micro Support/Resistance) These magenta-outlined bars mark high-frequency support/resistance zones where price repeatedly bounced. These are your scalping zones. Example: MICRO-SR at $99,975 means BTC touched this price multiple times in the last 100 bars - it's a critical battle line for 1-minute scalpers. 🟡 GOLD TEXT "BULL EXHAUST" / "BEAR EXHAUST" = Exhaustion Zones When one side dominated the volume BUT the trend is dying. This is where the big money got tired. Example: "BULL EXHAUST" at $100,100 means buyers pushed hard but are running out of steam - expect a reversal or consolidation soon. 🔵 CYAN TEXT "FLOW SHIFT ↑" / "FLOW SHIFT ↓" = Institutional Reversal This is the holy grail - when delta completely flipped from bearish to bullish (or vice versa) with increasing volume. This marks where institutions changed their position. Example: "FLOW SHIFT ↑" at $99,900 means selling pressure just turned into aggressive buying - the big players reversed direction. 🟠 ORANGE TEXT "FAILED SHIFT ↑" / "FAILED SHIFT ↓" = Failed Institutional Reversal When a FLOW SHIFT appears but then gets rejected by the opposite side within 3-10 bars. This means institutions TRIED to reverse but couldn't - the other side is defending hard. Example: "FAILED SHIFT ↑" at $99,900 means bulls attempted to take control but bears defended and stopped the reversal - this is a bearish sign, price likely continues down. 🟢 GREEN "COILED" LABEL BELOW PRICE = Bullish Compression Setup When price is compressed below VA Low with 5+ MICRO-SR resistance levels stacked overhead AND bullish momentum is building. This is a spring-loaded long setup - price is coiled under resistance ready to explode upward. Example: BTC at $99,700, VA Low at $100,000, 7 MICRO-SR levels stacked from $100,100-$100,400, and delta shows +45 with bullish flow → "COILED" appears. This means price is compressed like a spring with bullish pressure building - when it breaks, it will rip through all those overhead levels fast. 🔴 RED "COILED" LABEL ABOVE PRICE = Bearish Compression Setup When price is extended above VA High with 5+ MICRO-SR support levels stacked below AND bearish momentum is building. This is a spring-loaded short setup - price is coiled above support ready to crash downward. Example: BTC at $100,500, VA High at $100,200, 6 MICRO-SR levels stacked from $100,000-$99,700, and delta shows -52 with bearish flow → "COILED" appears. This means price is compressed with bearish pressure building - when it breaks down, it will slice through all those support levels. 🔴🟢 "REJECT" LABEL = Failed Breakout / Rejection When price enters a cluster zone (resistance or support) but shows opposite momentum - the breakout attempt failed. Example: Price pushed up into overhead resistance at $100,200 but delta turns bearish (-38) → "REJECT" appears in red above price. This means the breakout attempt was rejected, bulls who entered are trapped, expect reversal down. ⚠️ "WALL ↑" / "WALL ↓" = Resistance/Support Wall Alert When 5+ MICRO-SR levels are stacked together creating a "wall" of resistance or support. These are significant barriers where price will likely stall or reverse. Example: "WALL ↑ 7x" means there are 7 MICRO-SR resistance levels stacked above current price - breaking through this will be very difficult without strong momentum and volume. 🔴🟢 "BULL ATTACK" / "BEAR ATTACK" = Aggressive Momentum One side is attacking with both high delta AND increasing volume. This is active warfare. Example: "BEAR ATTACK" at $100,050 means sellers are aggressively dumping with rising volume - price is likely to drop fast. 🛡️ "BULL DEFENSE" / "BEAR DEFENSE" = Holding the Line One side has high delta but volume is flat or decreasing - they're defending a level, not pushing. Example: "BULL DEFENSE" at $99,850 means buyers are absorbing sells to prevent BTC from dropping further, but they're not strong enough to push up yet. ⚖️ "EQUILIBRIUM" / "ROTATION" = Balanced Market Bulls and bears are equally matched - perfect for range trading, terrible for breakout trades. Example: "EQUILIBRIUM" at $100,000 means the market is perfectly balanced here - trade the range, don't chase breakouts. 📈📉 "UP" / "DN" ARROWS = Volume Trend Small green "UP" or red "DN" labels show if volume is increasing or decreasing at that price level over time. Example: "UP" at $99,900 means more traders are entering positions at this price compared to earlier - this level is becoming more important. ⇈⇊ DOUBLE ARROWS = Delta Momentum Acceleration These show when delta is accelerating rapidly - not just strong, but GETTING STRONGER. Example: ⇈ at $100,050 means bullish delta isn't just high, it's accelerating - expect explosive upward movement. 🟢🔴 VELOCITY BANDS (Horizontal bars far right) = Volume Acceleration Thin horizontal bars extending from the profile show how fast volume is building. Green = volume accelerating up, Red = volume accelerating down. Example: Green velocity band at $100,100 means volume is spiking at this level right now - action is heating up. 💜 "x3.8" LABEL ABOVE CANDLE = Volume Spike Signal Magenta text showing volume multiplier. Example: "x3.2" above a BTC candle means this candle had 3.2 times the average volume - something big just happened (news, liquidation cascade, whale entry). 🟢🔴 THICK LINE AT VA HIGH/LOW = Breakout with Momentum When BTC breaks the VA line, the line changes: - Thin line (width 2) = Weak breakout (<30Δ momentum) - Medium line (width 3) = Medium breakout (30-60Δ) - Thick dashed line (width 4) = STRONG breakout (>60Δ) - THIS IS THE FLASH The label also changes: "VA High 72Δ V✓ STRONG" = 72 delta momentum, volume confirmed, strong breakout. 🔵 CYAN DASHED LINE AT POC = POC Bounce Flash A short cyan dashed line appears when BTC bounces off the POC with a bullish reversal candle. This is your highest-probability long entry - the POC "magnet" just pulled price back and bulls are responding. ─────────────────────────────────────────────── 🧠 PATTERN COMBINATIONS = Market Psychology (What Traders Are Thinking) ─────────────────────────────────────────────── 🚀 PATTERN 1: "The Nitro Boost" (Highest Win Rate) WHAT YOU SEE: FLOW SHIFT ↑ appears below current price + only MICRO-SR (magenta) levels above + Volume Spike (x2.5+) PSYCHOLOGY: Big money just reversed from selling to buying. Retail still thinks it's going down. All the nearby resistance levels are weak (just micro-levels). The explosion in volume means someone BIG just entered. EXAMPLE: BTC at $99,900, FLOW SHIFT ↑ just appeared, above you see MICRO-SR at $100,000, $100,050, $100,100 with no major resistance. Volume spike shows x3.1. → Institutions flipped bullish and the path of least resistance is UP. These MICRO-SR levels will be blown through like paper. TRADE: Long immediately, targets at each MICRO-SR level, stop below the FLOW SHIFT price. 💎 PATTERN 2: "The Wall" (Reversal Setup) WHAT YOU SEE: BULL/BEAR EXHAUST at a price level + Price approaching POC from above/below + Delta momentum arrows (⇊) pointing opposite to price movement PSYCHOLOGY: One side pushed too hard and ran out of gas right as they're approaching the most important price level (POC). Delta momentum is reversing. The "wall" of volume at POC will reject them. EXAMPLE: BTC pushed from $99,800 to $100,200, now "BULL EXHAUST" appears at $100,200. POC is at $100,000. You see ⇊ (bearish delta acceleration). → Bulls exhausted themselves pushing up, POC will act as resistance, bears are accelerating. Price will get rejected back down. TRADE: Short at current price, target is POC at $100,000, stop above the exhaust level. ⚔️ PATTERN 3: "The War Zone" (Stay Out) WHAT YOU SEE: BULL ATTACK and BEAR ATTACK labels alternating rapidly + EQUILIBRIUM or ROTATION at current price + VA lines very close together PSYCHOLOGY: Bulls and bears are in full battle mode, neither side is winning. The market is chopping violently in a tight range. This is where retail gets destroyed by whipsaw. EXAMPLE: BTC bouncing between $99,900-$100,100. "BULL ATTACK" at $100,000, "BEAR ATTACK" at $100,050, "EQUILIBRIUM" at $100,025. VA High at $100,100, VA Low at $99,900. → Pure chaos. Both sides throwing punches, nobody winning. TRADE: STAY OUT. Wait for exhaustion or flow shift. If you must trade, use very tight ranges (buy at VA Low, sell at VA High, 5-tick stops). 🎯 PATTERN 4: "The Breakout Confirmation" (High Confidence) WHAT YOU SEE: VA breakout with STRONG label + Volume spike (x2.0+) + FLOW SHIFT in breakout direction + No major resistance for 50+ ticks PSYCHOLOGY: Every signal is aligned. Price broke the fair value range WITH strong momentum, WITH volume confirmation, WITH institutional flow reversal. This is the "perfect storm" breakout. EXAMPLE: BTC breaks VA High at $100,200. Label changes to "VA High 68Δ V✓ STRONG" (thick dashed line). Volume spike shows x2.8. FLOW SHIFT ↑ appears at $100,210. Next resistance is MICRO-SR at $100,400. → This is as good as it gets. Institutions are buying, retail FOMO is coming, momentum is strong. TRADE: Long on the breakout, targets at +100 ticks ($100,300), +200 ticks ($100,400), trail stop below the breakout candle. 🛡️ PATTERN 5: "The Failed Breakout" (Fade Setup) WHAT YOU SEE: VA breakout with WEAK label + No volume spike + DEFENSE label appears (opposite side) + Delta momentum arrows pointing back into VA PSYCHOLOGY: Price tried to break out but without conviction. No volume = no big players interested. The defending side is holding the line. Breakout traders are about to get trapped. EXAMPLE: BTC breaks VA High at $100,200. Label shows "VA High 23Δ WEAK" (thin line). No volume spike. "BEAR DEFENSE" appears at $100,220. You see ⇊ (bearish acceleration). → Weak breakout, bears defending, momentum reversing. Bull breakout traders are trapped. TRADE: Short the failed breakout, target is back inside VA (POC at $100,000), stop above the high. 🧲 PATTERN 6: "The POC Magnet" (Mean Reversion) WHAT YOU SEE: Price far from POC (100+ ticks away) + Volume decreasing (DN arrows) + No ATTACK or FLOW SHIFT labels + MICRO-SR levels between current price and POC PSYCHOLOGY: Price overextended from the most important level. No new aggressive volume is coming in. Market is tired. Like a rubber band, price will snap back to POC where most traders are positioned. EXAMPLE: BTC at $100,350, POC at $100,000 (350 ticks away). "DN" arrows showing volume declining. "ROTATION" at current price. MICRO-SR at $100,300, $100,200, $100,100. → Overextended, running out of steam, POC will pull it back. TRADE: Short with targets at each MICRO-SR level on the way down to POC, final target at POC itself. 💥 PATTERN 7: "The Liquidation Cascade" (Momentum Continuation) WHAT YOU SEE: Multiple consecutive candles with volume spikes (x2.5+) + ATTACK label same direction + Delta momentum arrows same direction (⇈ or ⇊) + Breaking through MICRO-SR levels without stopping PSYCHOLOGY: Liquidations are triggering more liquidations. Stop losses are getting hit, triggering more stop losses. This is a cascade - it won't stop until hitting POC or VA boundary. Retail is getting destroyed, institutions are feasting. EXAMPLE: BTC drops from $100,200. Candles show x2.7, x3.1, x2.9 volume spikes. "BEAR ATTACK" at every level. ⇊ arrows accelerating. MICRO-SR levels at $100,100, $100,000, $99,900 all getting destroyed. POC at $99,750. → Liquidation cascade in progress. Won't stop until POC. TRADE: If you're in the direction, hold until POC. If not in, wait for POC to enter counter-trend. DO NOT try to catch this knife early. 🔄 PATTERN 8: "The Reversal Confirmation" (Highest Probability Entry) WHAT YOU SEE: POC Bounce Flash (cyan dashed line) + FLOW SHIFT in new direction + Volume spike + Price bouncing off POC with bullish/bearish engulfing candle PSYCHOLOGY: Price hit the most important level (POC) and institutions just reversed direction. This is THE signal. The magnet worked, price came back to POC, and big money is now pushing it the other way. EXAMPLE: BTC drops to POC at $100,000. Cyan dashed POC bounce flash appears. Bullish engulfing candle. "FLOW SHIFT ↑" appears. Volume spike x2.6. → Perfect reversal setup at the most important price level with institutional confirmation. TRADE: Long at POC, target next MICRO-SR or VA High, stop below POC. This is your highest win-rate setup. 🎪 PATTERN 9: "The Fake-Out Trap" (Avoid or Fade) WHAT YOU SEE: FLOW SHIFT appears + No volume spike + EXHAUST label appears within 3-5 candles same direction + Delta momentum arrows reverse PSYCHOLOGY: Someone tried to fake a reversal (maybe a whale painting the tape) but there's no real follow-through. The move exhausted immediately. Traders who followed the FLOW SHIFT are about to get trapped. EXAMPLE: "FLOW SHIFT ↑" appears at $99,950. No volume spike. Within 3 candles, "BULL EXHAUST" appears at $100,000. ⇊ arrows appear. → False reversal, trap set, traders entering longs are getting baited. TRADE: Fade it. Short when exhaust appears, target back below the fake FLOW SHIFT level. 🏆 PATTERN 10: "The Perfect Storm Long" (All Systems Go) WHAT YOU SEE: Price above POC + FLOW SHIFT ↑ + VA Low breakout with STRONG + Volume spike + Only MICRO-SR resistance above + BULL ATTACK label + ⇈ acceleration PSYCHOLOGY: Everything aligned bullish. Institutions buying, momentum strong, volume confirming, path clear. This is when retail FOMO kicks in and you get the biggest moves. EXAMPLE: BTC at $100,100. POC at $100,000 (above POC ✓). "FLOW SHIFT ↑" at $100,050 ✓. "VA Low 71Δ V✓ STRONG" breakout ✓. Volume x3.4 ✓. MICRO-SR at $100,300, $100,500 (weak resistance) ✓. "BULL ATTACK" ✓. ⇈ arrows ✓. → Every single bullish signal firing. This is the setup you wait for all day. TRADE: Long with size, targets at +200 ticks minimum, trail aggressively, stop only if FLOW SHIFT reverses. 🎯 PATTERN 11: "The Coiled Spring" (High Probability Breakout) WHAT YOU SEE: "COILED" label appears + 5-8 MICRO-SR levels stacked in breakout direction + Delta +30 or higher (for long) / -30 or lower (for short) + Price compressed below VA Low (long) or above VA High (short) PSYCHOLOGY: Price is compressed in a weak position with heavy resistance/support overhead, BUT institutions are building momentum in the direction of the breakout. When it breaks, all those clustered MICRO-SR levels will be blown through rapidly because the spring is loaded. This is the setup where you get 100-200 tick moves in minutes. EXAMPLE: BTC at $99,650. VA Low at $100,000. "COILED" (green) appears below price. WALL ↑ 8x showing 8 MICRO-SR levels from $100,100-$100,800. Delta shows +47. FLOW SHIFT ↑ just appeared. → Price is coiled below massive resistance wall with strong bullish momentum building. When VA Low breaks, the spring releases and price will rip through all 8 resistance levels. TRADE: Long when price breaks VA Low with volume confirmation, targets at each MICRO-SR cluster (+100, +200, +300 ticks), trail stop below breakout candle. This is your "moonshot" setup. 🛑 PATTERN 12: "The Failed Shift Trap" (Fade Setup) WHAT YOU SEE: "FAILED SHIFT ↑" or "FAILED SHIFT ↓" appears + Strong opposite momentum (⇊ for failed bull shift, ⇈ for failed bear shift) + No volume spike + Price back in original range PSYCHOLOGY: Institutions attempted a reversal but the other side defended hard and rejected it. Traders who followed the FLOW SHIFT are now trapped. The failed reversal confirms the original trend will continue - the defending side is in control. EXAMPLE: BTC pushed from $100,200 to $99,900. "FLOW SHIFT ↓" appeared at $100,100 signaling bearish reversal. Within 5 bars, bulls defended at $99,850, pushing price back to $100,000. "FAILED SHIFT ↓" now appears at $100,100 with ⇈ (bullish acceleration). → Bears tried to reverse trend but failed. Bulls defended successfully. Original uptrend continues. TRADE: Fade the failed shift. If "FAILED SHIFT ↓" appears, go long (bulls won the battle). If "FAILED SHIFT ↑" appears, go short (bears won). Target is back to the other side of the range. ⚠️ PATTERN 13: "The Wall Collision" (High Risk, High Reward) WHAT YOU SEE: "WALL ↑" or "WALL ↓" with 6+ levels + Price approaching wall with strong momentum (ATTACK label) + Volume spike + Delta accelerating (⇈ or ⇊) PSYCHOLOGY: Unstoppable force meeting immovable object. Price is charging at a massive wall of resistance/support with strong momentum. Either it breaks through explosively OR it gets rejected violently. This is binary - huge win or huge loss. EXAMPLE: BTC at $100,050 with "BULL ATTACK" and ⇈ arrows. Volume x3.2. Approaching "WALL ↑ 9x" at $100,200-$100,600. POC at $100,300 (inside the wall). → Bulls charging at massive resistance wall with strong momentum. If they break through, it's explosive. If rejected, crash back down. TRADE: ADVANCED ONLY. Wait for the collision. If price breaks through wall with FLOW SHIFT confirmation + volume spike, go long immediately with tight stop. If price gets REJECTED (bearish delta appears at wall), short immediately targeting POC. DO NOT enter before knowing the outcome. 🔄 PATTERN 14: "The Rejection Reversal" (Counter-Trend Entry) WHAT YOU SEE: "REJECT" label appears + Price in cluster zone + Opposite side DEFENSE or ATTACK label appears + Delta momentum reverses (⇈ to ⇊ or vice versa) PSYCHOLOGY: The breakout failed, trapped traders are exiting, and the opposite side is now attacking the weak hands. This creates fast moves back in the original direction. EXAMPLE: BTC breaks VA High to $100,250. Weak volume, delta only +22. Enters overhead MICRO-SR cluster. "REJECT" appears in red. "BEAR DEFENSE" appears at $100,280. ⇊ arrows appear. → Breakout failed, bulls trapped, bears attacking. Price will reverse fast. TRADE: Counter-trend entry in direction of REJECT. Short when "REJECT" appears with bearish confirmation, target is back to POC or VA Low. Stop above the rejection high. Fast scalp. ─────────────────────────────────────────────────────────────────────────────── ⚡ QUICK REFERENCE CHEAT SHEET ─────────────────────────────────────────────────────────────────────────────── SAFEST ENTRIES (Highest Win Rate): ✅ POC Bounce Flash + FLOW SHIFT (Pattern 8) ✅ FLOW SHIFT + Only MICRO-SR above + Volume Spike (Pattern 1) ✅ Strong VA Breakout + Volume Spike + FLOW SHIFT (Pattern 4) ✅ COILED label + Multiple stacked MICRO-SR + Delta >30 (Pattern 11) DANGER ZONES (Stay Out): ⛔ BULL ATTACK + BEAR ATTACK alternating (Pattern 3) ⛔ FLOW SHIFT + No volume + Quick exhaust (Pattern 9) ⛔ EQUILIBRIUM at current price with tight VA range ⛔ WALL collision without clear direction (Pattern 13 - wait for outcome) FADE/REVERSAL SETUPS: 🔄 EXHAUST at price level + Approaching POC (Pattern 2) 🔄 Weak VA Breakout + DEFENSE opposite side (Pattern 5) 🔄 Price far from POC + Volume declining (Pattern 6) 🔄 FAILED SHIFT appears + Opposite momentum (Pattern 12) 🔄 REJECT label + Opposite ATTACK/DEFENSE (Pattern 14) HOLD/MOMENTUM CONTINUATION: 🚀 Multiple volume spikes + ATTACK label + ⇈/⇊ arrows (Pattern 7) 🚀 All bullish/bearish signals aligned (Pattern 10) 🚀 COILED spring release through wall (Pattern 11) ═══════════════════════════════════════════════════════════ Remember: The indicator shows you WHERE the big money is (POC), WHAT they're doing (FLOW SHIFT), and HOW HARD they're doing it (volume spikes, momentum). Your job is to follow the big money, not fight them. When institutions shift, you shift. When they exhaust, you fade. When they're in a war, you stay out. Trade with the whales, not against them. ════════════════════════════════════════════════════════════ ═══════════════════════════════════════════════════════════════════════════════ ENHANCED DELTA VOLUME PROFILE - TECHNICAL CALCULATIONS GUIDE How Each Element is Actually Calculated ═══════════════════════════════════════════════════════════════════════════════ ─────────────────────────────────────────────────────────────────────────────── 🧮 CORE CALCULATIONS (The Math Behind What You See) ─────────────────────────────────────────────────────────────────────────────── 📊 VOLUME BINS = Price range divided into 40 horizontal slices The indicator takes the last 100 candles (configurable), finds the highest and lowest price touched, then divides that range into 40 equal "bins" (horizontal price levels). Each bin collects volume from candles that touched that price range. Example: BTC ranged from $99,500 to $100,500 in the last 100 bars. That's $1,000 range ÷ 40 bins = $25 per bin. Bin 1 = $99,500-$99,525, Bin 2 = $99,525-$99,550, etc. 🟦🟥 DELTA CALCULATION = (Bull Volume - Bear Volume) / Total Volume × 100 For each bin, the indicator separates bullish candles (close > open) from bearish candles (close < open). Delta = ((bull volume - bear volume) / total volume) × 100. This gives you a percentage from -100% (pure selling) to +100% (pure buying). Example: At $100,000, if 70 BTC was traded on green candles and 30 BTC on red candles, delta = ((70-30)/100) × 100 = 40% bullish. 🎨 GRADIENT COLOR = Delta converted to color spectrum The delta percentage (-100 to +100) is mapped to a color gradient. -100% = pure bearish color (orange/red), 0% = neutral, +100% = pure bullish color (cyan/blue). The color you see on each bar directly represents the delta. Example: A bright cyan bar = high positive delta (strong buying), orange bar = high negative delta (strong selling), gray bar = balanced (delta near 0%). 🟩 POC (Point of Control) = Bin with the absolute highest total volume The indicator sums up all volume in each of the 40 bins, then finds which bin has the most. That's your POC. Example: Bin 15 (around $100,000) collected 1,250 BTC of volume, which is more than any other bin. Bin 15 is your POC. This is where the most trading happened and where most traders are positioned. ⬜ VALUE AREA (VA) = The bins containing 70% of total volume, centered on POC Starting from the POC, the indicator expands up and down, adding bins one at a time (choosing the bin with more volume each time) until it has captured 70% of all volume. The top of this range = VA High, bottom = VA Low. Example: POC at $100,000. Expanding out captures 70% of volume from $99,700 to $100,300. VA Low = $99,700, VA High = $100,300. 📈📉 VOLUME TREND = (Recent Volume - Old Volume) / Total Volume The indicator splits your 100-bar lookback into three periods: Recent (last 15 bars), Mid (bars 15-30), and Older (last 15 bars of the 100). For each bin, it compares recent volume to older volume. If recent > older, trend is UP. If recent < older, trend is DOWN. Example: At $100,000, recent 15 bars had 80 BTC volume, older 15 bars had 40 BTC. Trend = (80-40)/(80+40) = 0.33 = UP. This shows volume is increasing at this level. 💜 MICRO-SR DETECTION = High volume (>60% of max) + High hits (>20% of max) + Active volume trend A bin becomes MICRO-SR if: (1) Its volume is at least 60% of the highest-volume bin, (2) Price touched it frequently (at least 20% as many times as the most-touched bin), (3) Volume trend isn't flat (absolute trend > 0.05). Example: Bin at $99,975 has 750 BTC (75% of max), was hit 45 times (30% of max hits), volume trend = 0.08. = MICRO-SR (magenta border). 🟡 EXHAUSTION DETECTION = Extreme delta (>65%) + Declining volume trend (<-0.15) OR Extreme delta + Volume spike (>1.5× average) Two ways to detect exhaustion: (1) One side dominated (delta > 65% or < -65%) BUT volume is decreasing (trend < -0.15), meaning participation is dropping. (2) Extreme delta WITH a huge volume spike (>1.5× average for that bin), meaning climactic volume. Example: At $100,200, delta = 72% bullish, but volume trend = -0.22 (declining). = BULL EXHAUST. Bulls won but are running out of steam. 🔵 FLOW SHIFT DETECTION = Delta changed sign (+ to - or - to +) + Delta change >40% + Volume trend increasing (>0.1) Compares each bin's delta to the previous bin's delta. If delta flipped from negative to positive (or vice versa) by more than 40%, AND volume is increasing, = FLOW SHIFT. Example: Previous bin at $99,950 had -35% delta (bearish). Current bin at $100,000 has +45% delta (bullish). Change = 80% (flipped + exceeded 40%), volume trend = +0.15. = FLOW SHIFT ↑. ⇈⇊ DELTA MOMENTUM = Current delta - Average delta of last 3 bins For each bin, the indicator looks at the previous 3 bins, calculates their average delta, then compares current delta to that average. If current delta is significantly higher/lower than the 3-bin average, momentum arrows appear. Example: Last 3 bins had deltas of 20%, 25%, 30% (average = 25%). Current bin delta = 55%. Momentum = 55 - 25 = +30 = ⇈ (strong bullish acceleration). 🟢🔴 VOLUME ACCELERATION = Rate of change of volume trend across three periods Compares how volume changed from Old→Mid vs Mid→Recent. If Recent increased MORE than Mid did compared to Old, = positive acceleration. Formula: ((Recent-Mid) - (Mid-Old)) / |Mid-Old|. Example: Old=100, Mid=120, Recent=160. Mid increased by 20, Recent increased by 40. Acceleration = (40-20)/20 = 1.0 = strong acceleration (green velocity band). ⚖️ BALANCE SCORE = Combines volume balance, price range balance, and hit frequency Three factors weighted equally: (1) How balanced is bull vs bear volume? (1 - |bull-bear|/total). (2) How tight is the price range? (1 - avgRange/maxRange). (3) How frequently was it hit? (hits/maxHits). Multiply these together. Score >0.7 = EQUILIBRIUM. Example: Volume is 55% bull / 45% bear = 0.9 balance. Range is tight = 0.8. Hit frequently = 0.85. Score = 0.9 × 0.8 × 0.85 = 0.61 = ROTATION. 📊 BULL/BEAR ATTACK/DEFENSE = Delta threshold (>60% or <-60%) + Volume trend direction ATTACK = High delta (>60% either direction) + Volume trend increasing (>0.15). DEFENSE = High delta (>60% either direction) + Volume trend NOT increasing (≤0.15). Example: Delta = 68% bullish, volume trend = 0.22 = BULL ATTACK (buying with increasing volume). Delta = 68% bullish, volume trend = 0.05 = BULL DEFENSE (buying but volume not increasing). ─────────────────────────────────────────────────────────────────────────────── 🎯 SIGNAL CALCULATIONS (The New Features) ─────────────────────────────────────────────────────────────────────────────── 💜 VOLUME SPIKE = Current bar volume / 20-bar average volume Takes the current candle's volume and divides it by the simple moving average of the last 20 candles' volume. If ratio >2.0 (configurable), spike detected. The label shows the exact multiplier. Example: Current candle = 450 BTC volume. 20-bar average = 140 BTC. Ratio = 450/140 = 3.21 = "x3.2" label appears in magenta above the candle. 🟢🔴 VA BREAKOUT MOMENTUM = POC bin's delta (absolute value) When price breaks VA High or VA Low, the indicator looks at the POC bin's delta to measure momentum strength. Uses absolute value (ignore direction). <30 = WEAK, 30-60 = MED, >60 = STRONG. Line thickness and style change based on this. Example: BTC breaks VA High. POC bin delta = 72%. Momentum = 72 = STRONG. Line = width 4 (thick), dashed (flash effect), label shows "VA High 72Δ V✓ STRONG". 📊 BREAKOUT LINE THICKNESS = Momentum-based dynamic sizing - Momentum <30: Line width = 2 (thin), solid line - Momentum 30-60: Line width = 3 (medium), solid line - Momentum >60: Line width = 4 (thick), dashed line (creates flash effect) Example: Breakout with 45% momentum = width 3 solid line. Breakout with 75% momentum = width 4 dashed line (flashing). ✓ VOLUME CONFIRMATION = Current volume / 20-bar average >1.5 Checks if the breakout candle has strong volume. If current volume is at least 1.5× the 20-bar average, adds "V✓" to the label. Example: Breakout candle has 280 BTC volume, 20-bar average is 160 BTC. Ratio = 280/160 = 1.75 > 1.5 = "V✓" appears in label. 🔵 POC BOUNCE DETECTION = Price within 0.5 bin-step of POC + Bullish reversal candle + Previous candle was bearish Three conditions must all be true: (1) Current close price is within half a bin's height from POC price. (2) Current candle is bullish (close > open). (3) Previous candle was bearish (close < open). If all true = POC bounce, cyan dashed flash line appears. Example: POC at $100,000, bin step = $25. Current close = $100,008 (within $12.50 of POC ✓). Current candle green ✓. Previous candle red ✓. = POC Bounce Flash. ─────────────────────────────────────────────────────────────────────────────── ⚙️ TECHNICAL PARAMETERS (What You Can Adjust) ─────────────────────────────────────────────────────────────────────────────── 🔢 LOOKBACK PERIOD (Default: 100 bars) = How much history to analyze The number of candles backwards from current that get analyzed. More bars = more stable but slower to react. Fewer bars = more reactive but noisier. For 1-minute BTC scalping, 100 bars = last 100 minutes = 1 hour 40 minutes of data. Example: Setting to 50 bars makes it more reactive to recent action but less stable. Setting to 200 bars makes it smoother but slower to show new developments. 🎚️ NUMBER OF BINS (Default: 40) = Resolution of price levels How many horizontal slices to divide the price range into. More bins = finer resolution but more noise. Fewer bins = smoother but less precise. 40 bins for 1-minute = good balance. Example: With $1,000 range, 40 bins = $25 per level. 20 bins would be $50 per level (less precise). 60 bins would be $16.67 per level (more precise but noisier). 📏 DISPLAY OFFSET (Default: 10 bars) = How far right the profile extends How many bars to the right of current candle the volume profile displays. Purely visual - doesn't affect calculations. Example: Offset = 10 means the profile extends 10 bars to the right. Offset = 30 means it extends further right (more separation from candles). 📊 VOLUME TREND PERIOD (Default: 15 bars) = How many recent bars define "recent" The number of bars considered "recent" vs "old" when calculating volume trends. Shorter = more sensitive to very recent changes. Longer = smoother trends. Example: 15 bars means "recent" = last 15 candles (last 15 minutes on 1m chart). Setting to 5 would make it hyper-reactive to the last 5 minutes. Setting to 30 would make it smoother. 🎯 EXHAUSTION THRESHOLD (Default: 65%) = How extreme delta must be for exhaustion The minimum delta percentage to trigger exhaustion detection. Higher = more selective (only extreme cases). Lower = more signals but more false positives. Example: 65% means delta must be >65% or <-65% to qualify. Setting to 75% would only catch the most extreme exhaustion. Setting to 55% would catch more cases. 💜 MICRO-LEVEL THRESHOLD (Default: 60%) = How strong a level must be for MICRO-SR The minimum volume percentage (relative to max) required for MICRO-SR detection. Higher = fewer, stronger levels. Lower = more levels but weaker. Example: 60% means bin must have at least 60% of the max bin's volume. Setting to 70% would show only the strongest levels. Setting to 50% would show more levels. ⚡ DELTA MOMENTUM PERIOD (Default: 3 bars) = How many bins to average for momentum How many previous bins to average when calculating delta momentum. Shorter = more sensitive acceleration signals. Longer = smoother, less noisy. Example: 3 bins means compares current to average of last 3. Setting to 5 would smooth out momentum detection. Setting to 2 would make it more reactive. 🌊 FLOW SHIFT SENSITIVITY (Default: 40%) = Minimum delta change for flow shift How much delta must change between consecutive bins to trigger FLOW SHIFT. Lower = more flow shift signals (more sensitive). Higher = fewer, stronger signals. Example: 40% means delta must flip by at least 40% (e.g., from -20% to +20% or from +10% to -30%). Setting to 60% would only catch major reversals. Setting to 25% would catch smaller shifts. 💥 VOLUME SPIKE THRESHOLD (Default: 2.0x) = Multiplier to trigger spike signal How many times above average volume must be to show the spike label. Higher = fewer spikes shown (only extreme). Lower = more spikes shown. Example: 2.0× means current volume must be at least double the 20-bar average. Setting to 3.0× would only show massive spikes. Setting to 1.5× would show more moderate spikes. 🚀 BREAKOUT MOMENTUM MINIMUM (Default: 20%) = Minimum delta for breakout signal How much delta momentum required at POC for VA breakout to trigger. Higher = fewer breakout signals (more selective). Lower = more signals but more false positives. Example: 20% means POC delta must be at least 20% (or -20%) when price breaks VA. Setting to 30% would only show strong breakouts. Setting to 10% would show weaker breakouts too. ─────────────────────────────────────────────────────────────────────────────── 🔬 ADVANCED TECHNICAL DETAILS ─────────────────────────────────────────────────────────────────────────────── 📐 BIN POSITIONING = Price-to-bin mapping formula For any price P, its bin index = floor((P - MinPrice) / BinStep). BinStep = (MaxPrice - MinPrice) / NumBins. Example: Range $99,000-$100,000, 40 bins. BinStep = $1,000/40 = $25. Price $99,550 → Bin 22: (99,550 - 99,000) / 25 = 22. 📊 VOLUME DISTRIBUTION = Proportional allocation across bins When a candle spans multiple bins, its volume is distributed proportionally based on how much of the candle's range overlapped each bin. Example: Candle from $99,950 to $100,050 (range = $100) with 50 BTC volume. Bin 1 ($99,950-$99,975) gets 25% of range = 12.5 BTC. Bin 2 ($99,975-$100,000) gets 25% = 12.5 BTC. Bin 3 ($100,000-$100,025) gets 25% = 12.5 BTC. Bin 4 ($100,025-$100,050) gets 25% = 12.5 BTC. 🎨 COLOR GRADIENT MAPPING = Delta to RGB conversion Delta percentage is normalized to 0-1 scale (from -100/+100 range), then mapped to RGB gradient. -100% (0.0) = Full bearish color RGB. 0% (0.5) = Neutral gray. +100% (1.0) = Full bullish color RGB. Example: Delta = 60% → Normalized = 0.8 → 80% towards full bullish color (bright cyan). ⚖️ BALANCE SCORE FORMULA = Weighted geometric mean BalanceScore = (VolumeBalance^w) × (PriceBalance^w) × (HitBalance^w), where w=weight (default 1.0). VolumeBalance = 1 - |BullVol - BearVol|/TotalVol. PriceBalance = 1 - AvgRange/MaxRange. HitBalance = Hits/MaxHits. Example: Vol=0.9, Price=0.8, Hit=0.7 → Score = 0.9 × 0.8 × 0.7 = 0.504. 🔄 DELTA HISTORY TRACKING = Rolling array per bin Each bin maintains an array of its last N delta values (where N = delta momentum period). When calculating momentum, current delta is compared to the average of this array. Example: Bin's delta history = . Average = 25%. Current = 55%. Momentum = 55 - 25 = 30. 📈 VOLUME VELOCITY = Second derivative of volume Measures acceleration of volume change. Recent change = (Recent - Mid). Old change = (Mid - Old). Acceleration = (Recent change - Old change) / |Old change|. Positive = accelerating. Negative = decelerating. Example: Old=100, Mid=150, Recent=220. Recent change = 70. Old change = 50. Accel = (70-50)/50 = 0.4 = 40% acceleration. 🎯 VA EXPANSION ALGORITHM = Greedy breadth-first from POC Start at POC bin. While accumulated volume < 70% of total: Look at bin above and bin below POC boundary. Choose whichever has more volume. Add that bin to VA. Repeat. Example: POC at bin 20. Bin 21 (above) has 80 BTC, Bin 19 (below) has 95 BTC. Add bin 19. Now VA = bins 19-20. Next: Bin 21 has 80, Bin 18 has 70. Add bin 21. VA = bins 19-21. Continue until 70% captured. ⏱️ REAL-TIME UPDATES = Recalculates on every new bar close The entire profile recalculates when barstate.islast = true (current bar). All 40 bins are cleared and rebuilt from scratch using the last N candles. This ensures the profile is always accurate to the current market state. Example: On 1-minute chart, the profile fully recalculates every 60 seconds when the new candle opens. 🎨 RENDERING OPTIMIZATION = 500-bar future limit management TradingView limits drawing objects to 500 bars into the future. The indicator calculates safe offsets: maxFutureBar = bar_index + 499, then caps all box/line/label positions to stay under this limit. Example: Current bar_index = 1000. Max future = 1499. Display offset wanted = 200. Safe offset = min(200, 400 - 100) = min(200, 300) = 200 ✓ safe. ─────────────────────────────────────────────────────────────────────────────── 💡 INTERPRETATION TIPS ─────────────────────────────────────────────────────────────────────────────── 🔢 Understanding Percentages: - Delta 0-30%: Weak bias, essentially balanced - Delta 30-60%: Moderate bias, one side has control - Delta 60-85%: Strong bias, one side dominated - Delta 85-100%: Extreme bias, one-sided market (exhaustion likely) 📊 Volume Trend Interpretation: - Trend -1.0 to -0.3: Strong decline in participation - Trend -0.3 to -0.1: Moderate decline - Trend -0.1 to +0.1: Stable/flat volume - Trend +0.1 to +0.3: Moderate increase - Trend +0.3 to +1.0: Strong increase in participation 🎯 Balance Score Ranges: - 0.0-0.3: Heavily imbalanced, strong directional bias - 0.3-0.5: Moderate imbalance, rotation forming - 0.5-0.7: Balanced rotation zone - 0.7-1.0: Perfect equilibrium, range-bound ⚡ Momentum Thresholds: - <10: Negligible momentum change - 10-20: Moderate acceleration - 20-40: Strong acceleration (arrow appears) - >40: Extreme acceleration (very rare, very significant) ═══════════════════════════════════════════════════════════════════════════════ Understanding these calculations helps you know WHY the indicator is showing what it's showing. When you see "FLOW SHIFT ↑", you now know it calculated a >40% delta flip with increasing volume. When you see MICRO-SR, you know that level has >60% of max volume, >20% of max hits, and active participation. When you see ⇈, you know delta jumped significantly above its 3-bin average. Use this knowledge to trust the signals and understand their strength. ═══════════════════════════════════════════════════════════════════════════════
Pine Script® indicator
by SurgeGuru
1
Multi-Timeframe Pivot ZonesThis indicator plots dynamic support and resistance levels from higher timeframes onto your current chart. It calculates the high, low, midpoint, and quartile (25%, 75%) levels from up to four different higher timeframes, projecting them forward as potential reaction zones. 🔍 **KEY FEATURES:** • **Multi-Timeframe Analysis:** View key levels from 4 different timeframes simultaneously • **Smart Visibility:** Levels only appear on timeframes equal to or lower than their source • **Customizable Styles:** Choose colors, line widths, and styles (solid, dashed, dotted) for each timeframe • **Projected Zones:** Levels extend into the future to show potential support/resistance areas ⚙ **HOW TO USE:** 1. Enable/disable timeframes in the settings 2. Set each timeframe to match your trading strategy (e.g., 1H, 4H, D, W) 3. Watch for price reactions at these levels for entry/exit signals 4. Use the quartile levels (25%, 75%) as secondary support/resistance areas The indicator helps traders identify confluence areas where multiple timeframes align, increasing the significance of potential reversal or breakout points.
Pine Script® indicator
by zacromancer
Seawolf Pivot Hunter [Strategy]Overview Seawolf Pivot Hunter is a practical trading strategy that enhances the classic pivot-box breakout system with a structured risk-management framework. Using ATR-based stop loss and take-profit calculations, position sizing, multi-layer filtering, and daily loss-limit protection, it provides a stable and sustainable trading environment. It preserves the strengths of the original version while adding systems designed to manage real-market risks more effectively. Core Philosophy The most important element in trading is not generating profits but controlling losses. Even the best entry signals cannot compensate for a single large loss that wipes out accumulated gains. This strategy precisely calculates the risk exposure for every trade and includes multiple layers of protection to safeguard the account under worst-case scenarios. Indicator Setup Link kr.tradingview.com Example of Optimal Parameter Settings Asset (Exchange): ETH/USDT (Binance) Timeframe: 15-minute chart Pivot Detection Length: 5 Upper Box Width: 2 Lower Box Width: 2 Enable Risk Management: False Use Trailing Stop: False Use Volume Filter -Min Buy Volume % for Long: 50 -Min Sell Volume % for Short: 50 Use Trend Filter (EMA): False Enable Max Loss Protection -Max Daily Loss ($): 200 -Max Trades Per Day: 10 Calculated Bars: 50,000 Risk-Management System Every trade automatically receives a stop-loss level at the moment of entry. The stop is calculated using ATR, adjusting dynamically to market volatility. When volatility increases, the stop widens; in stable conditions, it tightens to reduce unnecessary exits. The default distance is set to twice the ATR. The standard take-profit level is set to four times the ATR, providing a 1:2 risk-reward structure. With this ratio, even a 50 percent win rate can produce profitability—while the typical trade structure aims for small losses and larger gains to support long-term performance. A trailing-stop option is also available. Once the trade moves into profit, the stop level automatically trails behind price action, protecting gains while allowing the position to expand when momentum continues. Position size is calculated automatically based on the selected risk percentage. For example, with a 2 percent risk setting, each stop-loss hit would result in exactly 2 percent of the account balance being lost. This ensures a consistent risk profile regardless of account size. The daily loss-limit function prevents excessive drawdown by halting new trades once a predefined loss threshold is reached. This helps avoid emotional decision-making after consecutive losses. A daily trade-limit feature is included as well. The default is 10 trades per day, protecting traders from overtrading and unnecessary fees. Filtering System The volume filter analyzes buying and selling pressure within the pivot box. Long trades are allowed only when buy volume exceeds a specified percentage; shorts require sell-volume dominance. The default threshold is 55 percent. The trend filter uses an EMA to determine market direction. When price is above the 200-EMA, only long signals are permitted; when below, only shorts are allowed. This ensures alignment with the broader trend and reduces counter-trend risk. Each filter can be toggled independently. More filters generally reduce trade frequency but improve signal quality. Real-Time Monitoring A real-time statistics panel displays daily profit/loss, the number of trades taken, the maximum allowed trades, and whether new trades are currently permitted. When daily limits are reached, the panel provides clear visual warnings. Entry Logic A trade is validated only after a pivot-box breakout occurs and all active filters—volume, trend, daily loss limit, and daily trade limit—are satisfied. Position size, stop loss, and take-profit levels are then calculated automatically. Entry arrows and labels on the chart help with later review and analysis. Setup Guide Risk percentage is the most critical setting. Beginners should start at 1 percent. Anything above 3 percent becomes aggressive. ATR stop-loss multipliers should reflect asset volatility. ATR take-profit multipliers determine reward ratio; 4.0 is the standard. Volume thresholds are typically set between 50–60 percent depending on market conditions. Daily loss limits are typically 2–5 percent of the account. Trading Strategy This strategy performs best in trending environments and works especially well on the 4-hour and daily charts. New users should begin with all filters enabled and trade conservatively. A minimum of one month of paper trading is recommended before committing real capital. Suitable Users The strategy is ideal for beginners who lack risk-management experience as well as advanced traders seeking a customizable structure. It is particularly helpful for traders who struggle with emotional decision-making, as pre-defined limits and rules enforce discipline. Backtesting Guide Use at least 2–3 years of historical data that includes bullish, bearish, and sideways conditions. Target metrics: Sharpe ratio: 1.5 or higher Maximum drawdown: below 25 percent Win rate: 40 percent or higher Total trades: at least 100 for statistical relevance Optimization Precautions Avoid over-fitting parameters. Always test values around the “best” setting to verify stability. Out-of-sample testing is essential for confirming robustness. Test across multiple assets and timeframes to ensure consistency. Live Deployment Roadmap After successful backtesting, follow a gradual rollout: Paper trading for at least one month Small-account live testing Slow scaling as performance stabilizes Continuous Improvement Keep a detailed trading journal and evaluate performance each quarter using recent data. Adapt settings as market conditions evolve. Conclusion Seawolf Pivot Hunter aims to provide more than simple trade signals—it is designed to create a stable and sustainable trading system built on disciplined risk management. No strategy is perfect, and long-term success depends on consistency, patience, and strict adherence to rules. Start small, verify results, and scale progressively. Disclaimer This strategy is for educational and research purposes only. Past performance does not guarantee future results. All trading decisions are the responsibility of the user. 개요 Seawolf Pivot Hunter는 기본 피봇 박스 브레이크아웃 전략에 전문적인 리스크 관리 시스템을 더한 실전형 트레이딩 전략입니다. ATR 기반의 손절매와 목표가 설정, 포지션 사이징, 다층 필터링 시스템, 일일 손실 제한 기능을 통해 안정적이고 지속 가능한 트레이딩 환경을 제공합니다. 기본 버전의 장점은 유지하면서 실제 시장에서 발생할 수 있는 위험을 체계적으로 관리할 수 있도록 설계되었습니다. 핵심 철학 트레이딩에서 가장 중요한 것은 수익이 아니라 손실 관리입니다. 아무리 훌륭한 진입 조건이 있어도 한 번의 큰 손실로 모든 수익이 사라질 수 있습니다. 이 전략은 각 거래마다 감수할 리스크를 명확히 계산하고, 최악의 상황에서도 계좌를 보호하기 위한 다양한 안전장치를 제공합니다. 지표 적용 링크 공유 kr.tradingview.com 최적 조건값 설정(예시) "종목(거래소): ETH/USDT(Binance)", "15 분봉 기준" -Pivot Detection Length: 5 -Upper Box width: 2 -Lower Box width: 2 -Enable Risk Management: False -Use Trailing Stop: False -Use Volume Filter -Min Buy Volume % for Long: 50 -Min Buy Volume % for Long: 50 -Use Trend Filter(EMA): False -Enable Max Loss Protection -Max Daily Loss($): 200 -Max Trades Per Day: 10 -Calucated bars: 50000 리스크 관리 시스템 모든 거래는 진입과 동시에 손절매 주문이 자동 설정됩니다. 손절가는 ATR을 기준으로 계산되며, 시장의 변동성에 따라 자동으로 조정됩니다. 변동성이 큰 시장에서는 넓은 손절폭을, 안정적인 시장에서는 좁은 손절폭을 사용해 불필요한 청산을 줄입니다. 기본값은 ATR의 2배입니다. 목표가는 ATR의 4배를 기본값으로 설정하여 손익비 1:2 구조를 유지합니다. 승률이 50퍼센트만 되어도 수익성이 가능하며, 실제로는 손절은 짧고 이익은 길게 가져가는 방식으로 장기 성과를 확보합니다. 트레일링 스톱 기능도 제공됩니다. 포지션이 수익 구간에 들어서면 손절가가 자동으로 함께 움직이며 수익을 보호합니다. 이 기능은 사용자가 켜거나 끌 수 있습니다. 포지션 크기는 리스크 퍼센트 기반으로 자동 계산됩니다. 예를 들어 리스크를 2퍼센트로 설정하면 손절 시 계좌 자산의 2퍼센트만 잃도록 수량이 조절됩니다. 계좌 크기와 무관하게 항상 일정한 비율의 리스크만 감수하게 되는 방식입니다. 일일 손실 제한 기능은 하루에 허용 가능한 최대 손실을 초과하지 않도록 합니다. 지정 금액에 도달하면 당일 거래는 더 이상 실행되지 않습니다. 감정적 거래를 막고 일정한 규율을 유지하도록 돕습니다. 일일 거래 횟수 제한 기능도 제공됩니다. 기본값은 하루 10회로, 과매매와 수수료 증가를 방지합니다. 필터링 시스템 볼륨 필터는 박스 구간 내 매수·매도 압력을 분석해 진입 신호를 검증합니다. 롱은 매수 볼륨이 일정 비율 이상일 때, 숏은 매도 볼륨이 우세할 때만 진입합니다. 기본값은 55퍼센트입니다. 추세 필터는 EMA를 사용하며, 가격이 200EMA 위에 있을 때는 롱 신호만, 아래에서는 숏 신호만 허용합니다. 큰 추세 방향에만 거래하여 역추세 리스크를 줄입니다. 필터는 독립적으로 켜고 끌 수 있으며, 필터가 많을수록 거래 횟수는 줄지만 신호 품질은 향상됩니다. 실시간 모니터링 화면에 실시간 통계 테이블이 표시되며, 일일 손익, 거래 횟수, 최대 허용 횟수, 현재 거래 가능 여부가 즉시 확인됩니다. 손실 제한 또는 거래 제한 도달 시 시각적으로 표시됩니다. 진입 로직 피봇 박스 브레이크아웃 발생 후 볼륨 필터, 추세 필터, 일일 손실·거래 제한을 모두 통과하면 포지션 크기를 계산하고 손절·목표가를 설정한 뒤 진입합니다. 진입 지점에는 화살표와 레이블이 표시되어 분석에 도움을 줍니다. 설정 가이드 리스크 퍼센트는 가장 중요한 설정입니다. 초보자는 1퍼센트를 추천하며 3퍼센트 이상은 위험합니다. 손절 ATR 배수는 자산 특성에 맞게 조절합니다. 목표가 ATR 배수는 손익비를 결정하며 기본값은 4.0입니다. 볼륨 비율은 시장 상황에 따라 50~60퍼센트 내외로 조정합니다. 일일 손실 제한은 계좌의 2~5퍼센트 수준이 적절합니다. 사용 전략 추세가 명확한 시장에서 가장 효과적이며, 4시간봉 또는 일봉을 추천합니다. 초반에는 모든 필터를 켜고 보수적으로 시작하며, 최소 한 달간 페이퍼 트레이딩을 권장합니다. 적합한 사용자 리스크 관리 경험이 부족한 초보자부터, 커스터마이징을 원하는 경험자까지 폭넓게 적합합니다. 감정적 트레이딩을 억제하는 기능이 있어 규율 유지가 어렵던 트레이더에게 특히 유용합니다. 백테스트 가이드 최소 2~3년 데이터로 테스트하며, 상승·하락·횡보 모두 포함해야 합니다. 샤프비율 1.5 이상, 최대 낙폭 25퍼센트 이하를 목표로 합니다. 승률은 40퍼센트 이상이면 충분합니다. 최소 100회 이상 거래가 있어야 통계적으로 의미가 있습니다. 최적화 주의사항 과최적화를 피하고 주변 값도 테스트해야 합니다. 샘플 외 기간 검증은 필수입니다. 여러 자산·여러 시간대에서 테스트하여 일관성을 확인해야 합니다. 실전 적용 로드맵 백테스트 후 바로 실전 투입하지 말고, 한 달 이상의 페이퍼 트레이딩 → 소액 실전 → 점진적 확대 순으로 진행합니다. 지속적 개선 일지를 기록하고 분기마다 최신 데이터로 점검합니다. 시장 변화에 따라 유연하게 조정해야 합니다. 마치며 Seawolf Pivot Hunter는 단순 신호 제공을 넘어, 안전하고 지속 가능한 트레이딩 환경 구축을 목표로 합니다. 어떤 전략도 완벽할 수 없으며, 장기적 성공을 위해서는 규칙 준수와 인내가 가장 중요합니다. 충분한 검증을 거쳐 작은 금액으로 시작하고 점진적으로 확장해나가는 접근을 추천합니다. 면책 조항 이 전략은 교육 및 연구 목적이며, 과거 성과는 미래를 보장하지 않습니다. 모든 투자 결정은 본인의 판단과 책임 하에 이루어져야 합니다.
Pine Script® strategy
by Seawolf_AGI
Sen Channel™ Lite by GammaBulldog™ Sen Channel™ Lite by GammaBulldog™ A clean, adaptive trend channel built on the Theil-Sen regression. Sen Channel™ Lite gives you a noise-filtered trend line plus dynamic upper/lower bands that expand with volatility — perfect for spotting trend strength, early breakouts, and clean risk levels. What It Shows Sen Trend Line (robust median slope) Adaptive bands using StDev or ATR Breakout markers when price closes outside the channel Simple alerts for instantly tradable signals Why Traders Use It Catches trend shifts earlier than MAs Filters fakeouts and wick noise Highlights real volatility expansions Works on all markets & timeframes Signals 🚀 Break Up — Momentum expansion 🛑 Break Down — Trend weakness / reversal Inputs Lookback (34 default) Band multiplier StDev or ATR width Pro Tip Combine Sen Channel™ Lite with higher-timeframe trend for strong continuation signals.
Pine Script® indicator
by GammaBulldog
Pivot Gauge IndicatorThis “Pivot Gauge” is a multi-timeframe map of key levels. It pulls in four higher timeframes (by default: Daily, Weekly, Monthly, Quarterly) and draws their candles to the right of your chart, plus all important reference lines: open, high, low, previous high/low, mid, 25%/75% levels, and classic floor pivots (P, S1–S3, R1–R3). Levels above price are red, under price are green. You can toggle which timeframes and level types to see, customize line width and style, and add round-number grids. The script also fires alerts whenever price crosses any selected level, so you always know when price is interacting with levels.
Pine Script® indicator
by rockstar-trader
Bitcoin & Ethereum Profitable Crypto Investor – FREE EditionBitcoin & Ethereum Profitable Crypto Investor – FREE Edition by RustyTradingScripts This is the free, simplified edition of my long-term crypto trend-following strategy designed for Bitcoin, Ethereum, and other major assets. It provides an accessible introduction to the core concepts behind the full version while remaining easy to use, transparent, and beginner-friendly. This FREE edition focuses on a single technical component: a 102-period Simple Moving Average trend model. When price moves above the SMA, the script considers it a potential long trend environment. When the slope begins to turn down, the strategy exits the position. This creates a straightforward, rules-based framework for identifying trend shifts without emotional or discretionary decision-making. The goal of this simplified version is to help users understand how a structured trend approach behaves during different market conditions. It demonstrates how using a slow, objective indicator can reduce noise and provide clearer long-term directional context on higher timeframes such as the 10-hour BTC chart shown in the backtest example. What This FREE Version Includes - Trend-based entries using a 102-period SMA - Automatic exits when the SMA slope turns down - Clean visual plot of the moving average - No repainting — signals are based on confirmed bar data - Works on BTC, ETH, and other major crypto assets - User-adjustable SMA length for customization What’s Not Included in This Version: This edition intentionally focuses on the essential trend logic only. It does NOT include the following components found in the full investor strategy: - Linear regression smoothing - Seasonal filters - Price-extension filtering - Volume-based protection - Partial stop-loss and partial take-profit systems - Cooldown logic after profitable trades - RSI-based extended exits - Multi-layered trade management modules The purpose of this free version is to provide a clear, functional introduction to the underlying trend concept without the advanced filters and risk-management features that are part of the complete system. How to Use It Apply the script to your preferred asset and timeframe (commonly higher timeframes such as 4H, 8H, 10H, 12H, or 1D). The script will enter long positions when the market is trading above the SMA and exit when the slope of the average begins to point downward. Users may adjust the SMA length to match their preferred level of responsiveness. Important Notes This script is for educational and analytical purposes. Historical results are not guarantees of future performance. Always practice proper risk management and perform your own testing. This script does not repaint. This FREE version is meant as a helpful starting point for those exploring long-term crypto trend strategies. If you find it useful and wish to explore more advanced tools, feel free to reach out for additional information.
Pine Script® strategy
by RustyTradingScripts
ORB w/ FVG Retest and Engulfing v001Opening Range Breakout with FVG Retest and Engulfing Indicator v001 Visual indicator implementing the "First Candle Rule" - shows entry signals for opening range breakouts with Fair Value Gap confirmation. HOW IT WORKS: 1. Identifies first 5-minute candle at exchange open and marks high/low as key levels 2. Displays opening range lines (green high, red low) 3. Shows Fair Value Gap boxes when price breaks through levels 4. Displays entry labels when FVG retest and engulfing confirmation occur FEATURES: ✓ Exchange-specific opening times (NYSE, NASDAQ, AMEX, TSX, LSE, ASX, Custom) ✓ Automatic opening range calculation ✓ FVG detection with visual boxes ✓ Entry signal labels at confirmation points ✓ Customizable FVG display options ✓ Toggle entry label visibility Best used on 1-minute chart. Green FVG boxes = long opportunities, Red FVG boxes = short opportunities. Wait for entry labels to appear before considering trades.
Pine Script® indicator
by papajustocks
NormalizedIndicatorsNormalizedIndicators Library - Comprehensive Trend Normalization & Pre-Calibrated Systems Overview The NormalizedIndicators Library is an advanced Pine Script™ collection that provides normalized trend-following indicators, calculation functions, and pre-calibrated consensus systems for technical analysis. This library extends beyond simple indicator normalization by offering battle-tested, optimized parameter sets for specific assets and timeframes. The main advantage lies in its dual functionality: Individual normalized indicators with standardized outputs (1 = bullish, -1 = bearish, 0 = neutral) Pre-calibrated consensus functions that combine multiple indicators with asset-specific optimizations This enables traders to either build custom strategies using individual indicators or leverage pre-optimized systems designed for specific markets. 📊 Library Structure The library is organized into three main sections: 1. Trend-Following Indicators Individual indicators normalized to standard output format 2. Calculation Indicators Statistical and mathematical analysis functions 3. Pre-Calibrated Systems ⭐ NEW Asset-specific consensus configurations with optimized parameters 🔄 Trend-Following Indicators Stationary Indicators These oscillate around a fixed value and are not bound to price. TSI() - True Strength Index ⭐ NEW Source: TradingView Parameters: price: Price source long: Long smoothing period short: Short smoothing period signal: Signal line period Logic: Double-smoothed momentum oscillator comparing TSI to its signal line Signal: 1 (bullish): TSI ≥ TSI EMA 0 (bearish): TSI < TSI EMA Use Case: Momentum confirmation with trend direction SMI() - Stochastic Momentum Index ⭐ NEW Source: TradingView Parameters: src: Price source lengthK: Stochastic period lengthD: Smoothing period lengthEMA: Signal line period Logic: Enhanced stochastic that measures price position relative to midpoint of high/low range Signal: 1 (bullish): SMI ≥ SMI EMA 0 (bearish): SMI < SMI EMA Use Case: Overbought/oversold with momentum direction BBPct() - Bollinger Bands Percent Source: Algoalpha X Sushiboi77 Parameters: Length: Period for Bollinger Bands Factor: Standard deviation multiplier Source: Price source (typical: close) Logic: Calculates the position of price within the Bollinger Bands as a percentage Signal: 1 (bullish): when positionBetweenBands > 50 -1 (bearish): when positionBetweenBands ≤ 50 Special Feature: Uses an array to store historical standard deviations for additional analysis RSI() - Relative Strength Index Source: TradingView Parameters: len: RSI period src: Price source smaLen: Smoothing period for RSI Logic: Classic RSI with additional SMA smoothing Signal: 1 (bullish): RSI-SMA > 50 -1 (bearish): RSI-SMA < 50 0 (neutral): RSI-SMA = 50 Non-Stationary Indicators These follow price movement and have no fixed boundaries. NorosTrendRibbonSMA() & NorosTrendRibbonEMA() Source: ROBO_Trading Parameters: Length: Moving average and channel period Source: Price source Logic: Creates a price channel based on the highest/lowest MA value over a specified period Signal: 1 (bullish): Price breaks above upper band -1 (bearish): Price breaks below lower band 0 (neutral): Price within channel (maintains last state) Difference: SMA version uses simple moving averages, EMA version uses exponential TrendBands() Source: starlord_xrp Parameters: src (price source) Logic: Uses 12 EMAs (9-30 period) and checks if all are rising or falling simultaneously Signal: 1 (bullish): All 12 EMAs are rising -1 (bearish): All 12 EMAs are falling 0 (neutral): Mixed signals Special Feature: Very strict conditions - extremely strong trend filter Vidya() - Variable Index Dynamic Average Source: loxx Parameters: source: Price source length: Main period histLength: Historical period for volatility calculation Logic: Adaptive moving average that adjusts to volatility Signal: 1 (bullish): VIDYA is rising -1 (bearish): VIDYA is falling VZO() - Volume Zone Oscillator Parameters: source: Price source length: Smoothing period volumesource: Volume data source Logic: Combines price and volume direction, calculates the ratio of directional volume to total volume Signal: 1 (bullish): VZO > 14.9 -1 (bearish): VZO < -14.9 0 (neutral): VZO between -14.9 and 14.9 TrendContinuation() Source: AlgoAlpha Parameters: malen: First HMA period malen1: Second HMA period theclose: Price source Logic: Uses two Hull Moving Averages for trend assessment with neutrality detection Signal: 1 (bullish): Uptrend without divergence -1 (bearish): Downtrend without divergence 0 (neutral): Trend and longer MA diverge LeonidasTrendFollowingSystem() Source: LeonidasCrypto Parameters: src: Price source shortlen: Short EMA period keylen: Long EMA period Logic: Simple dual EMA crossover system Signal: 1 (bullish): Short EMA < Key EMA -1 (bearish): Short EMA ≥ Key EMA ysanturtrendfollower() Source: ysantur Parameters: src: Price source depth: Depth of Fibonacci weighting smooth: Smoothing period bias: Percentage bias adjustment Logic: Complex system with Fibonacci-weighted moving averages and bias bands Signal: 1 (bullish): Weighted MA > smoothed MA (with upward bias) -1 (bearish): Weighted MA < smoothed MA (with downward bias) 0 (neutral): Within bias zone TRAMA() - Trend Regularity Adaptive Moving Average Source: LuxAlgo Parameters: src: Price source length: Adaptation period Logic: Adapts to trend regularity - accelerates in stable trends, slows in consolidations Signal: 1 (bullish): Price > TRAMA -1 (bearish): Price < TRAMA 0 (neutral): Price = TRAMA HullSuite() Source: InSilico Parameters: _length: Base period src: Price source _lengthMult: Length multiplier Logic: Uses Hull Moving Average with lagged comparisons for trend determination Signal: 1 (bullish): Current Hull > Hull 2 bars ago -1 (bearish): Current Hull < Hull 2 bars ago 0 (neutral): No change STC() - Schaff Trend Cycle Source: shayankm (described as "Better MACD") Parameters: length: Cycle period fastLength: Fast MACD period slowLength: Slow MACD period src: Price source Logic: Combines MACD concepts with stochastic normalization for early trend signals Signal: 1 (bullish): STC is rising -1 (bearish): STC is falling 🧮 Calculation Indicators These functions provide specialized mathematical calculations for advanced analysis. LCorrelation() - Long-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (30, 60, 90, 120, 150, 180) Returns: Correlation value between -1 and 1 Application: Long-term relationship analysis between assets, markets, or indicators MCorrelation() - Medium-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (15, 30, 45, 60, 75, 90) Returns: Correlation value between -1 and 1 Application: Medium-term relationship analysis with higher sensitivity assetBeta() - Beta Coefficient Creator: unicorpusstocks Parameters: measuredSymbol: The asset to be measured baseSymbol: The reference asset (e.g., market index) Logic: Calculates Beta across 4 different time horizons (50, 100, 150, 200 periods) Beta = Correlation × (Asset Standard Deviation / Market Standard Deviation) Returns the average of all 4 Beta values Returns: Beta value (typically 0-2, can be higher/lower) Interpretation: Beta = 1: Asset moves in sync with the market Beta > 1: Asset more volatile than market Beta < 1: Asset less volatile than market Beta < 0: Asset moves inversely to the market 🎯 Pre-Calibrated Systems ⭐ NEW FEATURE These are ready-to-use consensus functions with optimized parameters for specific assets and timeframes. Each calibration has been fine-tuned through extensive backtesting to provide optimal performance for its target market. Universal Calibrations virtual_4d_cal(src) - Virtual/General 4-Day Timeframe Use Case: General purpose 4-day chart analysis Optimized For: Broad crypto market on 4D timeframe Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA Characteristics: Balanced sensitivity for swing trading virtual_1d_cal(src) - Virtual/General 1-Day Timeframe Use Case: General purpose daily chart analysis Optimized For: Broad crypto market on 1D timeframe Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA Characteristics: Standard daily trading parameters Cryptocurrency Specific sui_cal(src) - SUI Ecosystem Tokens Use Case: Tokens in the SUI blockchain ecosystem Timeframe: 1D Characteristics: Fast-response parameters for high volatility projects deep_1d_cal(src) - DEEP Token Daily Use Case: Deepbook (DEEP) token analysis Timeframe: 1D Characteristics: Tuned for liquidity protocol token behavior wal_1d_cal(src) - WAL Token Daily Use Case: Specific for WAL token Timeframe: 1D Characteristics: Mid-range sensitivity parameters sns_1d_cal(src) - SNS Token Daily Use Case: Specific for SNS token Timeframe: 1D Characteristics: Balanced parameters for DeFi tokens meme_cal(src) - Meme Coin Calibration Use Case: Highly volatile meme coins Timeframe: Various Characteristics: Wider parameters to handle extreme volatility Warning: Meme coins carry extreme risk base_cal(src) - BASE Ecosystem Tokens Use Case: Tokens on the BASE blockchain Timeframe: Various Characteristics: Optimized for L2 ecosystem tokens Solana Ecosystem sol_4d_cal(src) - Solana 4-Day Use Case: SOL token on 4-day charts Characteristics: Responsive parameters for major L1 blockchain sol_meme_4d_cal(src) - Solana Meme Coins 4-Day Use Case: Meme coins on Solana blockchain Timeframe: 4D Characteristics: Handles high volatility of Solana meme sector Ethereum Ecosystem eth_4d_cal(src) - Ethereum 4-Day Use Case: ETH and major ERC-20 tokens Timeframe: 4D Indicators Used: BBPct, Noro's, RSI, TSI, HullSuite, TrendContinuation, Leonidas, SMI Special: Uses TSI and SMI instead of VIDYA and TRAMA Characteristics: Tuned for Ethereum's market cycles Bitcoin btc_4d_cal(src) - Bitcoin 4-Day Use Case: Bitcoin on 4-day charts Timeframe: 4D Characteristics: Slower, smoother parameters for the most established crypto asset Notes: Conservative parameters suitable for position trading Traditional Markets qqq_4d_cal(src) - QQQ (Nasdaq-100 ETF) 4-Day Use Case: QQQ ETF and tech-heavy indices Timeframe: 4D Characteristics: Largest parameter sets reflecting lower volatility of traditional markets Notes: Can be adapted for similar large-cap tech indices 💡 Usage Examples Example 1: Using Pre-Calibrated System pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Simple one-line implementation for Bitcoin btcSignal = lib.btc_4d_cal(close) // Trading logic longCondition = btcSignal > 0.5 shortCondition = btcSignal < -0.5 // Plot plot(btcSignal, "BTC 4D Consensus", color.orange) Example 2: Custom Multi-Indicator Consensus pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Build your own combination signal1 = lib.BBPct(20, 2.0, close) signal2 = lib.RSI(14, close, 5) signal3 = lib.TRAMA(close, 50) signal4 = lib.TSI(close, 25, 13, 13) // Custom consensus customConsensus = math.avg(signal1, signal2, signal3, signal4) plot(customConsensus, "Custom Consensus", color.blue) Example 3: Asset-Specific Strategy Switching pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Automatically use the right calibration signal = switch syminfo.ticker "BTCUSD" => lib.btc_4d_cal(close) "ETHUSD" => lib.eth_4d_cal(close) "SOLUSD" => lib.sol_4d_cal(close) "QQQ" => lib.qqq_4d_cal(close) => lib.virtual_4d_cal(close) // Default plot(signal, "Auto-Calibrated Signal", color.orange) Example 4: Correlation-Filtered Trading pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Only trade when strong correlation with market exists spy = request.security("SPY", timeframe.period, close) correlation = lib.MCorrelation(close, spy) trendSignal = lib.virtual_1d_cal(close) // Only signals with positive market correlation tradeBuy = trendSignal > 0.5 and correlation > 0.5 tradeSell = trendSignal < -0.5 and correlation > 0.5 Example 5: Beta-Adjusted Position Sizing pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib spy = request.security("SPY", timeframe.period, close) beta = lib.assetBeta(close, spy) // Adjust position size based on Beta basePositionSize = 100 adjustedSize = basePositionSize / beta // Less size with high Beta // Use with calibrated signal signal = lib.qqq_4d_cal(close) 🎯 Choosing the Right Calibration Decision Tree 1. What asset are you trading? Bitcoin → btc_4d_cal() Ethereum/ERC-20 → eth_4d_cal() Solana → sol_4d_cal() Solana memes → sol_meme_4d_cal() SUI ecosystem → sui_cal() BASE ecosystem → base_cal() Meme coins (any chain) → meme_cal() QQQ/Tech indices → qqq_4d_cal() Other/General → virtual_4d_cal() or virtual_1d_cal() 2. What timeframe? Most calibrations are optimized for 4D (4-day) or 1D (daily) For other timeframes, start with virtual calibrations and adjust 3. What's the asset's volatility? High volatility (memes, new tokens) → Use meme_cal() or similar Medium volatility (established alts) → Use specific calibrations Low volatility (BTC, major indices) → Use btc_4d_cal() or qqq_4d_cal() ⚙️ Technical Details Normalization Standard Bullish: 1 Bearish: -1 Neutral: 0 (only for selected indicators) Calibration Methodology Pre-calibrated functions were optimized using: Historical backtesting on target assets Parameter optimization for maximum Sharpe ratio Validation on out-of-sample data Real-time forward testing Iterative refinement based on market conditions Advantages of Pre-Calibrations Instant Deployment: No parameter tuning needed Asset-Optimized: Tailored to specific market characteristics Tested Performance: Validated through extensive backtesting Consistent Framework: All use the same 8-indicator structure Easy Comparison: Compare different assets using same methodology Performance Considerations All functions are optimized for Pine Script v5 Proper use of var for state management Efficient array operations where needed Minimal recursive calls Pre-calibrations add negligible computational overhead 📋 License This code is subject to the Mozilla Public License 2.0 at mozilla.org 🔧 Installation pinescriptimport unicorpusstocks/NormalizedIndicators/1 Then use functions with your chosen alias: pinescript// Individual indicators lib.BBPct(20, 2.0, close) lib.RSI(14, close, 5) lib.TSI(close, 25, 13, 13) // Pre-calibrated systems lib.btc_4d_cal(close) lib.eth_4d_cal(close) lib.meme_cal(close) ⚠️ Important Notes General Usage All indicators are lagging, as is typical for trend-following indicators Signals should be combined with additional analysis (volume, support/resistance, etc.) Backtesting is recommended before starting live trading with these signals Different assets and timeframes may require different parameter optimizations Pre-Calibrated Systems Calibrations are optimized for specific timeframes - using them on different timeframes may reduce effectiveness Market conditions change - what worked historically may need adjustment Pre-calibrations are starting points, not guaranteed solutions Always validate performance on your specific use case Consider current market regime (trending vs. ranging) Risk Management Meme coin calibrations are designed for extremely volatile assets - use appropriate position sizing Pre-calibrated systems do not eliminate risk Always use stop losses and proper risk management Past performance does not guarantee future results Customization Pre-calibrations can serve as templates for your own optimizations Feel free to adjust individual parameters within calibration functions Test modifications thoroughly before live deployment 🎓 Advanced Use Cases Multi-Asset Portfolio Dashboard Create a dashboard showing consensus across different assets: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib btc = request.security("BTCUSD", "4D", close) eth = request.security("ETHUSD", "4D", close) sol = request.security("SOLUSD", "4D", close) btcSignal = lib.btc_4d_cal(btc) ethSignal = lib.eth_4d_cal(eth) solSignal = lib.sol_4d_cal(sol) // Plot all three for comparison plot(btcSignal, "BTC", color.orange) plot(ethSignal, "ETH", color.blue) plot(solSignal, "SOL", color.purple) Regime Detection Use correlation and calibrations together: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Detect market regime btc = request.security("BTCUSD", timeframe.period, close) correlation = lib.MCorrelation(close, btc) // Choose strategy based on correlation signal = correlation > 0.7 ? lib.btc_4d_cal(close) : lib.virtual_4d_cal(close) Comparative Analysis Compare asset-specific vs. general calibrations: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib specificSignal = lib.btc_4d_cal(close) // BTC-specific generalSignal = lib.virtual_4d_cal(close) // General divergence = specificSignal - generalSignal plot(divergence, "Calibration Divergence", color.yellow) 🚀 Quick Start Guide For Beginners Identify Your Asset: What are you trading? Find the Calibration: Use the decision tree above One-Line Implementation: signal = lib.btc_4d_cal(close) Set Thresholds: Buy when > 0.5, sell when < -0.5 Add Risk Management: Always use stops For Advanced Users Start with Pre-Calibration: Use as baseline Analyze Performance: Backtest on your specific market Fine-Tune Parameters: Adjust individual indicators if needed Combine with Other Signals: Volume, market structure, etc. Create Custom Calibrations: Build your own based on library structure For Developers Import Library: Access all functions Mix and Match: Combine indicators creatively Build Custom Logic: Use indicators as building blocks Create New Calibrations: Follow the established pattern Share and Iterate: Contribute to the trading community 🎯 Key Takeaways ✅ 10 normalized indicators - Consistent interpretation across all ✅ 16+ pre-calibrated systems - Ready-to-use for specific assets ✅ Asset-optimized parameters - No guesswork required ✅ Calculation functions - Advanced correlation and beta analysis ✅ Universal framework - Works across crypto, stocks, forex ✅ Professional-grade - Built on proven technical analysis principles ✅ Flexible architecture - Use pre-calibrations or build your own ✅ Battle-tested - Validated through extensive backtesting NormalizedIndicators Library transforms complex multi-indicator analysis into actionable signals through both customizable individual indicators and pre-optimized consensus systems. Whether you're a beginner looking for plug-and-play solutions or an advanced trader building sophisticated strategies, this library provides the foundation for data-driven trading decisions.WiederholenClaude kann Fehler machen. Bitte überprüfen Sie die Antworten. Sonnet 4.5
Pine Script® library
by Unicorpus
EntryXpert 1.2Pullback Detection Logic - The scanner now waits for price to pull back and touch the Fast EMA within a specified number of bars (default 10) after the initial crossover . Entry only triggers when price bounces back in the trend direction after touching the EMA . Automatic 1:2 Risk-Reward Calculation - Stop-loss is calculated using ATR multiplied by a customizable factor (default 1.5x) . Take-profit is automatically set at exactly 2x the stop-loss distance, giving you your preferred 1:2 risk-reward ratio . Visual TP/SL Lines - Stop-loss and take-profit levels are plotted as horizontal lines at exact price levels on the chart . Lines automatically disappear when price hits either level, keeping your chart clean . State Management - The scanner tracks whether it’s waiting for a pullback after a crossover and won’t generate conflicting signals . Entries only fire after confirmed pullback and bounce confirmation, reducing false signals significantly . Customizable Parameters - Adjust the ATR(Average true range) multiplier to control stop-loss distance based on market volatility . Set the pullback lookback period to match your trading timeframe (default 10 bars)
Pine Script® indicator
by Bizkit1987