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Indikatoren und Strategien

FVG & Market Structure//@version=5 indicator("FVG & Market Structure", overlay=true) // Inputs fvg_lookback = input.int(100, "FVG Lookback Period") fvg_strength = input.int(1, "FVG Minimum Strength") show_fvg = input.bool(true, "Show FVG") show_liquidity = input.bool(true, "Show Liquidity Zones") show_bos = input.bool(true, "Show BOS") // Calculate swing highs and lows swing_high = ta.pivothigh(high, 2, 2) swing_low = ta.pivotlow(low, 2, 2) // Detect Fair Value Gaps (FVG) detect_fvg() => // Bullish FVG (current low > previous high + threshold) bullish_fvg = low > high and show_fvg // Bearish FVG (current high < previous low - threshold) bearish_fvg = high < low and show_fvg = detect_fvg() // Plot FVG areas bgcolor(bullish_fvg ? color.new(color.green, 95) : na, title="Bullish FVG") bgcolor(bearish_fvg ? color.new(color.red, 95) : na, title="Bearish FVG") // Breach of Structure (BOS) detection detect_bos() => var bool bull_bos = false var bool bear_bos = false // Bullish BOS - price breaks above previous swing high if high > ta.valuewhen(swing_high, high, 1) and not na(swing_high) bull_bos := true bear_bos := false // Bearish BOS - price breaks below previous swing low if low < ta.valuewhen(swing_low, low, 1) and not na(swing_low) bear_bos := true bull_bos := false = detect_bos() // Plot BOS signals plotshape(bull_bos and show_bos, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Bullish BOS") plotshape(bear_bos and show_bos, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Bearish BOS") // Liquidity Zones (Recent Highs/Lows) liquidity_range = input.int(20, "Liquidity Lookback") buy_side_liquidity = ta.highest(high, liquidity_range) sell_side_liquidity = ta.lowest(low, liquidity_range) // Plot Liquidity Zones plot(show_liquidity ? buy_side_liquidity : na, color=color.red, linewidth=1, title="Sell Side Liquidity") plot(show_liquidity ? sell_side_liquidity : na, color=color.green, linewidth=1, title="Buy Side Liquidity") // Order Block Detection (Simplified) detect_order_blocks() => // Bullish Order Block - strong bullish candle followed by pullback bullish_ob = close > open and (close - open) > (high - low) * 0.7 and show_fvg // Bearish Order Block - strong bearish candle followed by pullback bearish_ob = close < open and (open - close) > (high - low) * 0.7 and show_fvg = detect_order_blocks() // Plot Order Blocks bgcolor(bullish_ob ? color.new(color.lime, 90) : na, title="Bullish Order Block") bgcolor(bearish_ob ? color.new(color.maroon, 90) : na, title="Bearish Order Block") // Alerts for key events alertcondition(bull_bos, "Bullish BOS Detected", "Bullish Breach of Structure") alertcondition(bear_bos, "Bearish BOS Detected", "Bearish Breach of Structure") // Table for current market structure var table info_table = table.new(position.top_right, 2, 4, bgcolor=color.white, border_width=1) if barstate.islast table.cell(info_table, 0, 0, "Market Structure", bgcolor=color.gray) table.cell(info_table, 1, 0, "Status", bgcolor=color.gray) table.cell(info_table, 0, 1, "Bullish BOS", bgcolor=bull_bos ? color.green : color.red) table.cell(info_table, 1, 1, bull_bos ? "ACTIVE" : "INACTIVE") table.cell(info_table, 0, 2, "Bearish BOS", bgcolor=bear_bos ? color.red : color.green) table.cell(info_table, 1, 2, bear_bos ? "ACTIVE" : "INACTIVE") table.cell(info_table, 0, 3, "FVG Count", bgcolor=color.blue) table.cell(info_table, 1, 3, str.tostring(bar_index))
Pine Script® Indikator
von nallapareddy4878
🎯 Wyckoff Order Block Entry System🎯 Wyckoff Order Block Entry System 📝 INDICATOR DESCRIPTION 🎯 Wyckoff Order Block Entry System Short Description: Professional institutional zone trading combined with Wyckoff methodology. Identifies high-probability entries where smart money meets classic price action patterns. Full Description: Wyckoff Order Block Entry System is a precision trading tool that combines two powerful concepts: Order Blocks - Institutional zones where large players place their orders Wyckoff Method - Classic price action patterns revealing smart money behavior 🎯 What Makes This Different? Unlike traditional indicators that flood your chart with signals, this system only triggers entries when BOTH conditions are met: Price enters an institutional Order Block zone (current timeframe OR higher timeframe) A Wyckoff pattern occurs (Spring, SOS, Upthrust, or SOW) This dual-confirmation approach ensures you're trading with institutional flow at optimal entry points. 📊 Key Features: ✅ Order Block Detection Automatically identifies institutional buying/selling zones Current timeframe order blocks (solid lines) Higher timeframe order blocks (dashed lines) for stronger zones Customizable strength and extension settings ✅ 4 Wyckoff Entry Patterns SPRING (Bullish Reversal): Fake breakdown below support → Quick recovery SOS (Sign of Strength): Strong bullish candle after accumulation UPTHRUST (Bearish Reversal): Fake breakout above resistance → Quick rejection SOW (Sign of Weakness): Strong bearish candle after distribution ✅ Clean Visual Design Minimalist approach - only essential information Color-coded zones (Green = Bullish, Red = Bearish, Cyan/Magenta = HTF) Clear entry signals with pattern type labels No chart clutter - focus on what matters ✅ Multi-Timeframe Analysis Integrates higher timeframe order blocks HTF signals marked with "+HTF" tag for extra confidence Fully customizable HTF selection (H1, H4, Daily, etc.) ✅ Smart Alerts Entry signal alerts (Long/Short) Order block formation alerts HTF order block alerts Customizable alert messages 💡 How To Use: Setup: Add indicator to your chart, configure HTF timeframe (default H1) Wait: Let order blocks form (green/red boxes appear) Watch: Price returns to order block zone Entry: Signal appears when Wyckoff pattern confirms Trade: Enter with the signal, stop below/above order block 📈 Best For: Forex pairs (all majors and crosses) Gold (XAUUSD) Crypto (BTC, ETH, etc.) Indices (SPX, NAS100, etc.) Stocks Commodities ⏱️ Recommended Timeframes: M15 for scalping M30 for day trading H1 for swing trading H4 for position trading 🎯 Win Rate Expectations: Current TF signals: 60-70% HTF signals (+HTF tag): 70-80% Spring/Upthrust patterns: Highest probability Works on ALL liquid markets ⚙️ Customizable Settings: Order block detection parameters HTF timeframe selection Wyckoff sensitivity (swing length, volume threshold) Zone extension duration Color schemes 📚 Trading Strategy: This indicator works best when: Trading in the direction of higher timeframe trend Using proper risk management (1-2% per trade) Placing stops just outside order block zones Taking profits at opposite order blocks Focusing on HTF signals for higher quality 🔒 Risk Management: Always use stop losses! Recommended placement: LONG: 10-20 pips below order block SHORT: 10-20 pips above order block Target: Minimum 1:2 risk/reward ratio 💎 Why Traders Love This System: "Finally, an indicator that doesn't spam my chart with useless signals!" - The quality-over-quantity approach means you only get high-probability setups. "The HTF order blocks changed my trading!" - Multi-timeframe analysis built-in removes the need for manual higher timeframe checks. "Wyckoff + Order Blocks = Perfect combination!" - Two proven concepts working together create powerful confluence. 📊 Universal Application: This system works on ANY liquid market with sufficient volume: ✅ Forex (EUR/USD, GBP/USD, USD/JPY, etc.) ✅ Commodities (Gold, Silver, Oil, etc.) ✅ Indices (S&P 500, NASDAQ, DAX, etc.) ✅ Cryptocurrencies (Bitcoin, Ethereum, etc.) ✅ Stocks (Large cap with good liquidity) 🎓 Educational Value: Beyond just signals, this indicator teaches you: How institutional traders think Where smart money places orders Classic Wyckoff accumulation/distribution patterns Multi-timeframe analysis techniques ⚡ Performance: Lightning-fast calculations No repainting Real-time signal generation Clean code, optimized for speed 🚀 Get Started: Add to your favorite chart Adjust HTF timeframe to match your trading style Wait for high-quality signals Trade with confidence Remember: Quality beats quantity. This system prioritizes precision over frequency. You might see 2-5 signals per day on M30 - and that's exactly the point. Each signal is carefully filtered for maximum probability. Ready to trade like institutions? 👉 Add this indicator to your chart now 👉 Configure your preferred HTF timeframe 👉 Start catching high-probability setups 👉 Trade smarter, not harder Questions or feedback? Drop a comment below! Found this useful? Hit that ⭐ button and share with fellow traders! Happy Trading! 🚀📈
Pine Script® Indikator
von ThePipsMaker_
Smart Trail Signals NO CONDITIONSSmart Trail Signals Indicator Overview This is a trend-following indicator that uses a dynamic trailing stop system to identify bullish and bearish trends. It adapts to market volatility using ATR (Average True Range) and provides visual signals when the trend direction changes. Core Components Smart Trail System: Calculates dynamic support (trail_up) and resistance (trail_down) levels Adjusts trail levels based on price movement and volatility Maintains trend direction until price crosses the opposite trail level Key Parameters: Length (14): Period for ATR calculation Multiplier (2.0): Distance of trail from price relative to ATR Sensitivity (1-5): Fine-tunes how quickly the trail adapts to price changes How It Works Trend Detection: Monitors whether price is above the support trail (bullish) or below the resistance trail (bearish) Trail Movement: In uptrends: Support trail rises with price but never decreases In downtrends: Resistance trail falls with price but never increases Signals: Diamond shapes appear when trend flips: Green diamond below bar = bullish trend change Red diamond above bar = bearish trend change Visual Aids: Trail line changes color (lime for uptrend, red for downtrend) Candles colored green (bullish), red (bearish), or gray (neutral) Best Use Cases Identifying trend reversals on any timeframe Following strong directional moves Setting dynamic stop-loss levels Works 24/7 on all instruments (stocks, crypto, forex) RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
Pine Script® Indikator
von ppavank
SuperTrend MA Fusion [CNU]SuperTrend MA Fusion is a next-generation upgrade of the classic SuperTrend indicator, engineered with a multi-MA adaptive ATR engine, advanced non-repaint logic, and clean trend-flip signal generation. This version offers 18+ institutional-grade moving averages to smooth ATR volatility, allowing traders to customize trend sensitivity and signal responsiveness unlike anything possible with the standard SuperTrend. Key Features ✔ 18+ Moving Average Options (MA Engine) Customize volatility smoothing using any MA: SMA, EMA, WMA, RMA HMA, ZLEMA, LSMA, ALMA KAMA, VIDYA TEMA, DEMA VWMA, WWMA, VAR TILLSON T3, TSF TMA This allows extreme flexibility — from ultra-fast scalping signals to slow and smooth swing-trend filters.
Pine Script® Indikator
von Cnu
VSLRT with DivergencesOverview This indicator combines Volume-Synchronized Linear Regression Trend (VSLRT) analysis with multi-indicator divergence detection to provide comprehensive market momentum and reversal signals. It displays volume-weighted price trends in both short-term and long-term timeframes, while simultaneously detecting divergences across 10 different technical indicators. Key Features VSLRT (Volume-Synchronized Linear Regression Trend): Short-term and long-term trend analysis using linear regression Volume-weighted calculations that account for buying vs selling pressure Color-coded histogram showing trend strength and direction Forecast projection showing anticipated trend continuation Divergence-adjusted forecasting for enhanced prediction accuracy Multi-Indicator Divergence Detection: The indicator simultaneously monitors divergences across: MACD (Moving Average Convergence Divergence) MACD Histogram RSI (Relative Strength Index) Stochastic Oscillator CCI (Commodity Channel Index) Momentum OBV (On-Balance Volume) Volume-Weighted MACD Chaikin Money Flow Money Flow Index Divergence Types: Regular Bullish Divergence (potential reversal to upside) Regular Bearish Divergence (potential reversal to downside) Hidden Bullish Divergence (trend continuation upward) Hidden Bearish Divergence (trend continuation downward) How It Works VSLRT Calculations: The indicator calculates linear regression slopes for both price and volume, separating buying volume from selling volume. The histogram displays: Green columns: Bullish price movement with strong buying volume Red columns: Bearish price movement with strong selling volume Shaded columns: Weaker conviction in the current trend Thick line: Long-term trend direction Divergence Detection: The script automatically scans for divergences by comparing: Price action (higher highs/lower lows) Indicator values at pivot points When price and indicators move in opposite directions, a divergence is detected Divergences are displayed as labels on the histogram showing: Which indicators are diverging Number of simultaneous divergences (stronger signal when multiple indicators agree) Color-coded by divergence type Customizable Settings VSLRT Settings: Short-term length (default: 20) Long-term length (default: 50) Forecast bars (1-50, default: 10) Divergence forecast adjustment factor Custom colors for all trend states Divergence Settings: Pivot period for divergence detection Source (Close or High/Low) Divergence type (Regular, Hidden, or Both) Minimum number of divergences to display Maximum pivot points and bars to check Toggle individual indicators on/off Custom colors for each divergence type Label display options (Full names, First letter, or Don't show) Show divergence count option Trading Applications Trend Following: Use VSLRT histogram to identify trend direction and strength Enter trades when short-term and long-term trends align Monitor forecast bars for potential trend continuation Reversal Trading: Watch for multiple regular divergences (3+ indicators) Confirm with VSLRT color changes Higher divergence count = stronger reversal signal Trend Continuation: Hidden divergences suggest trend will continue Use during pullbacks in strong trends Combine with VSLRT forecast for entry timing Risk Management: Divergence alerts can signal potential exits VSLRT color changes can indicate stop-loss levels Forecast helps anticipate trend exhaustion Alert Conditions Built-in alert conditions for: Positive Regular Divergence Detected Negative Regular Divergence Detected Positive Hidden Divergence Detected Negative Hidden Divergence Detected Any Positive Divergence Any Negative Divergence Tips for Best Results Multiple Timeframe Analysis: Check divergences on higher timeframes for more reliable signals Confirmation: Wait for bar close (enabled by default) to avoid false signals Volume Context: Stronger VSLRT signals occur during high volume periods Divergence Count: More simultaneous divergences = higher probability signal Trend Alignment: Best results when divergences align with overall trend direction
Pine Script® Indikator
von Portfolio_Punt
Count█  OVERVIEW A library of functions for counting the number of times (frequency) that elements occur in an array or matrix. █ USAGE Import the Count library. import joebaus/count/1 as c Create an array or matrix that is a `float`, `int`, `string`, or `bool` type to count elements from, then call the count function on the array or matrix. id = array.from(1.00, 1.50, 1.25, 1.00, 0.75, 1.25, 1.75, 1.25) countMap = id.count() // Alternatively: countMap = c.count(id) The "count map" will return a map with keys for each unique element in the array or matrix, and with respective values representing the number of times the unique element was counted. The keys will be the same type as the array or matrix counted. The values will always be an `int` type. array mapKeys = countMap.keys() // Returns unique keys array mapValues = countMap.values() // Returns counts If an array is in ascending or descending order, then the keys of the map will also generate in the same order. intArray = array.from(2, 2, 2, 3, 4, 4, 4, 4, 4, 6, 6) // Ascending order map countMap = intArray.count() // Creates a "count map" of all unique elements array mapKeys = countMap.keys() // Returns // Ascending order array mapValues = countMap.values() // Returns count Include a value to get the count of only that value in an array or matrix. floatMatrix = matrix.new(3, 3, 0.0) floatMatrix.set(0, 0, 1.0), floatMatrix.set(1, 0, 1.0), floatMatrix.set(2, 0, 1.0) floatMatrix.set(0, 1, 1.5), floatMatrix.set(1, 1, 2.0), floatMatrix.set(2, 1, 2.5) floatMatrix.set(0, 2, 1.0), floatMatrix.set(1, 2, 2.5), floatMatrix.set(2, 2, 1.5) int countFloatMatrix = floatMatrix.count(1.0) // Counts all 1.0 elements, returns 5 // Alternatively: int countFloatMatrix = c.count(floatMatrix, 1.0) The string method of count() can use strings or regular expressions like "bull*" to count all matching occurrences in a string array. stringArray = array.from('bullish', 'bull', 'bullish', 'bear', 'bull', 'bearish', 'bearish') int countString = stringArray.count('bullish') // Returns 2 int countStringRegex = stringArray.count('bull*') // Returns 4 To count multiple values, use an array of values instead of a single value. Returning a count map only of elements in the array. countArray = array.from(1.0, 2.5) map countMap = floatMatrix.count(countArray) array mapKeys = countMap.keys() // Returns keys array mapValues = countMap.values() // Returns counts Multiple regex patterns or strings can be counted as well. stringMatrix = matrix.new(3, 3, '') stringMatrix.set(0, 0, 'a'), stringMatrix.set(1, 0, 'a'), stringMatrix.set(2, 0, 'a') stringMatrix.set(0, 1, 'b'), stringMatrix.set(1, 1, 'c'), stringMatrix.set(2, 1, 'd') stringMatrix.set(0, 2, 'a'), stringMatrix.set(1, 2, 'd'), stringMatrix.set(2, 2, 'b') // Count the number of times the regex patterns `'^(a|c)$'` and `'^(b|d)$'` occur array regexes = array.from('^(a|c)$', '^(b|d)$') map countMap = stringMatrix.count(regexes) array mapKeys = countMap.keys() // Returns array mapValues = countMap.values() // Returns An optional comparison operator can be specified to count the number of times an equality was satisfied for `float`, `int`, and `bool` methods of `count()`. intArray = array.from(2, 2, 2, 3, 4, 4, 4, 4, 4, 6, 6) // Count the number of times an element is greater than 4 countInt = intArray.count(4, '>') // Returns 2 When passing an array of values to count and a comparison operator, the operator will apply to each value. intArray = array.from(2, 2, 2, 3, 4, 4, 4, 4, 4, 6, 6) values = array.from(3, 4) // Count the number of times and element is greater than 3 and 4 map countMap = intArray.count(values, '>') array mapKeys = countMap.keys() // Returns array mapValues = countMap.values() // Returns Multiple comparison operators can be applied when counting multiple values. intMatrix = matrix.new(3, 3, 0) intMatrix.set(0, 0, 2), intMatrix.set(1, 0, 3), intMatrix.set(2, 0, 5) intMatrix.set(0, 1, 2), intMatrix.set(1, 1, 4), intMatrix.set(2, 1, 2) intMatrix.set(0, 2, 5), intMatrix.set(1, 2, 2), intMatrix.set(2, 2, 3) values = array.from(3, 4) comparisons = array.from('<', '>') // Count the number of times an element is less than 3 and greater than 4 map countMap = intMatrix.count(values, comparisons) array mapKeys = countMap.keys() // Returns array mapValues = countMap.values() // Returns
Pine Script® Bibliothek
von joebaus
🕯️First Candle First Candle – Breakout & Return Indicator This indicator marks the high and low of the first 9:30–9:45 AM New York session candle and locks those levels for the rest of the day. It highlights important candles based on Fair Value Gap (FVG) logic and price behavior around this opening range: • Green — first candle of the day whose full body closes above the range with a valid bullish FVG in the same impulse. • Red — first candle whose full body closes below the range with a valid bearish FVG in the same impulse. • Yellow — any candle whose full body re-enters back inside the range and has a matching same-impulse FVG behind the move. Simple, clean, and designed to highlight only the most meaningful breakout and return signals from the opening range.
Pine Script® Indikator
von sergeytsypan
Cumulative Delta Difference HistogramINTRODUCTION: This "Cumulative Delta Difference Histogram" is a volume-based indicator that calculates the difference (delta) between aggressive buying volume and selling volume for each candle and then builds a cumulative momentum histogram with the following behavior: Momentum Tracking: The indicator accumulates the delta values when the delta is positive and increasing, producing green bars whose height visually represents growing buying pressure momentum. Negative Momentum Detection: When the delta becomes negative or starts to decline, the histogram bars turn red and the accumulation decreases, effectively showing increasing selling pressure momentum. Directional Reset: On each change from positive to negative delta momentum or vice versa, the accumulator resets to zero, providing a clear and sharp visualization of shifts without persistence from previous trends. Zero Reference Line: A horizontal zero line serves as a visual baseline to distinguish positive from negative momentum easily. HOW TO USE: To trade effectively using the "Cumulative Delta Difference Histogram," you compare the price action chart with the indicator to confirm momentum and detect potential reversals or continuations. Here's how to do it in practice: Confirming Trends: When the price is rising, look for the histogram bars to be green and increasing, indicating strong and growing buying pressure supporting the uptrend. If price rises but the histogram shows diminishing green bars or shifts to red, it could signal weakening momentum and a potential reversal. Identifying Divergences: Compare price highs/lows with histogram peaks. If price makes a new high but the histogram fails to make a corresponding new high (bearish divergence), it warns of a possible trend reversal. Conversely, if price makes a new low but histogram shows higher lows (bullish divergence), it signals potential bullish reversal. Volume Confirmation: The histogram reflects real-time volume aggression behind price moves. Confirmation of price breakouts or breakdowns by corresponding strong histogram colors and bar height increases adds reliability to signals. By aligning price patterns and levels with the cumulative delta histogram's signals, traders gain a deeper understanding of market strength and better timing for trades. This combined approach improves the accuracy of entries and exits beyond relying on price alone, especially in markets sensitive to order flow and volume dynamics. Use this indicator with a default volume or with my other indicator "Agression Histogram" for a better reading.
Pine Script® Indikator
von destrobr0685
MACD Trend & Momentum Dashboard (Weighted, 3 TFs)This indicator provides a multi-timeframe MACD trend and momentum dashboard that works independently of your current chart timeframe. It displays MACD zero-line bias and MACD-vs-Signal trend state across three user-selectable timeframes, using clear color-coded cells for instant visual interpretation. A weighted scoring system combines all six signals into a single market bias classification (Strong Bullish → Strong Bearish). This helps traders quickly understand higher- and lower-timeframe alignment, market regime, and overall trend quality. Ideal for trend- and momentum-followers who want a clean, actionable market overview at a glance.
Pine Script® Indikator
von hungryHead54637
3
Engulfing Candlestick Pattern - BB FilterBeen working on doing a better version of this. This is like version 2.0. Usese this definition of an engulfing candle: tradeciety.com/how-to-trade-the-engulfing-candlestick-pattern As you change the parameters of the Bollinger band the signals will change. You can also set the distance away from the band using ATR muliplier to catch moves near the BB. Per Claude, This setup should give you much higher quality signals since you're filtering for engulfing patterns that occur at the extremes of the Bollinger Bands - exactly like the Tradeciety article recommends. Those are the setups with the best context and highest probability. A few tips for using it: You can adjust the BB Touch Distance slider if you want to be stricter or more lenient about what counts as "touching" the bands Try enabling Strict Mode if you want only the strongest engulfing patterns (where the full range including wicks is engulfed) Works great on higher timeframes like Daily and Weekly for the most reliable signals on NQ and ES I personally use this on the 1000 tick NQ chart. It's not perfect but 2x better than my first attempt. Enjoy. Open to suggestions as well. For entertainment purposes only.
Pine Script® Indikator
von theAdamWarner
1
Engulfing Candlestick Pattern - BB FilterBeen working on doing a better version of this. This is like version 2.0. Usese this definition of an engulfing candle: tradeciety.com As you change the parameters of the Bollinger band the signals will change. You can also set the distance away from the band using ATR muliplier to catch moves near the BB. Per Claude, This setup should give you much higher quality signals since you're filtering for engulfing patterns that occur at the extremes of the Bollinger Bands - exactly like the Tradeciety article recommends. Those are the setups with the best context and highest probability. A few tips for using it: You can adjust the BB Touch Distance slider if you want to be stricter or more lenient about what counts as "touching" the bands Try enabling Strict Mode if you want only the strongest engulfing patterns (where the full range including wicks is engulfed) Works great on higher timeframes like Daily and Weekly for the most reliable signals on NQ and ES I personally use this on the 1000 tick NQ chart. It's not perfect but 2x better than my first attempt. Enjoy. Open to suggestions as well. For entertainment purposes only.
Pine Script® Indikator
von theAdamWarner
ORB + INMERELO ADR + ATRThis indicator provides **two completely different but complementary lines of information** for intraday traders: # **1. The ORB Line (ADR-Based Context Line)** The ORB portion of the script focuses on **range expansion** relative to typical daily behavior. ### **What it measures** * **20-day ADR (Average Daily Range)** * **Today’s range as a % of ADR** * **How much of the average range has been “used”** by the time you’re considering an Opening Range Breakout ### **Why it matters for ORB trading** Successful ORBs thrive when: * **ADR used% is low** (green) → plenty of fuel left for expansion * **ADR used% is moderate** (orange) → breakout still possible but less explosive * **ADR used% is high** (red) → breakout attempts often fail or reverse ### **What the indicator gives you** A clean, color-coded readout of: * ADR * Today’s range * Used% * A simple green/orange/red evaluation of ORB quality This allows a trader to quickly judge whether **conditions favor ORB continuation or mean-reversion reversal**—without manually calculating ranges or switching charts. --- # **2. The INMERELO Line (ATR Stretch + MA Interaction)** The INMERELO portion of the script is built around **mean-reversion mechanics**: the market tends to revert back toward the **first daily MA it crosses under**. ### **How it determines the active MA** At the start of each session, the script waits for price to cross under: * **EMA10** * **EMA21** * **SMA50** Whichever MA is crossed first becomes the **active MA** for the day. If no cross has occurred yet, the indicator shows the **nearest MA**, so traders know exactly what the likely “INMERELO magnet” will be. ### **What it measures** * **Stretch from the active MA (in ATR units)** * **20-day ATR regime direction (expanding or contracting)** * **Daily MA context: E10, E21, or S50** ### **Why it matters for INMERELOs** This provides: * The **target MA** * The **distance to that MA in ATRs** * A color-coded stretch score: * **0.6–1.2 ATR** → prime INMERELO zone (Green) * Moderately stretched → Orange * Overstretched or dead zone → Red An up/down arrow shows whether **volatility is expanding or compressing**, which affects expected retrace behavior. ### **What the indicator gives you** All INMERELO data is displayed in a second compact line: * Stretch to MA * Active MA label (E10/E21/S50) * ATR regime arrow This allows fast identification of high-probability **mean-reversion trades back to the MA**. --- # **Summary** This indicator shows: ### **Line 1 → ORB Context (ADR)** * Is the stock setup for a powerful breakout? * How much ADR is left? * Are you early (good) or late (risky)? ### **Line 2 → INMERELO Context (ATR + MA Stretch)** * Which MA is in control today (EMA10, EMA21, or SMA50)? * How many ATRs away from that MA are we? * Is volatility expanding or contracting? * Is this a clean INMERELO setup or not? Together, these two lines give traders the **two most important intraday lenses**: **range expansion (ORB)** and **mean reversion (INMERELO)**—updated every bar, without clutter.
Pine Script® Indikator
von machine917
EMA 5-8 Crossover Indicator//@version=5 indicator("EMA 5-8 Crossover Indicator", shorttitle="EMA Cross", overlay=false) // EMA calculations ema5 = ta.ema(close, 5) ema8 = ta.ema(close, 8) // Crossover signals bullishCross = ta.crossover(ema5, ema8) // EMA5 crosses above EMA8 (BUY) bearishCross = ta.crossunder(ema5, ema8) // EMA5 crosses below EMA8 (SELL) // Trend state (for continuous background) var int trend = 0 if bullishCross trend := 1 else if bearishCross trend := -1 // EMA lines (in lower pane) plot(ema5, title="EMA 5", color=color.new(color.blue, 0), linewidth=2) plot(ema8, title="EMA 8", color=color.new(color.orange, 0), linewidth=2) // Continuous background colors bgcolor(trend == 1 ? color.new(color.green, 85) : trend == -1 ? color.new(color.red, 85) : na, title="Trend Background") // Alert conditions alertcondition(bullishCross, title="BUY Signal", message="EMA 5 crossed above EMA 8 - BUY!") alertcondition(bearishCross, title="SELL Signal", message="EMA 5 crossed below EMA 8 - SELL!")
Pine Script® Indikator
von drfatihgul