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NormalizedIndicatorsNormalizedIndicators - Comprehensive Trend Normalization Library Overview This Pine Script™ library provides an extensive collection of normalized trend-following indicators and calculation functions for technical analysis. The main advantage of this library lies in its unified signal output: All trend indicators are normalized to a standardized format where 1 represents a bullish signal, -1 represents a bearish signal, and 0 (where applicable) represents a neutral signal. This normalization enables traders to seamlessly combine different indicators, create consensus signals, and develop complex multi-indicator strategies without worrying about different scales and interpretations. 📊 Categories The library is divided into two main categories: 1. Trend-Following Indicators 2. Calculation Indicators 🔄 Trend-Following Indicators Stationary Indicators These oscillate around a fixed value and are not bound to price. 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 💡 Usage Examples Example 1: Multi-Indicator Consensus pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 as lib // Combine multiple indicators signal1 = lib.BBPct(20, 2.0, close) signal2 = lib.RSI(14, close, 5) signal3 = lib.TRAMA(close, 50) // Consensus signal: At least 2 of 3 must agree consensus = (signal1 + signal2 + signal3) strongBuy = consensus >= 2 strongSell = consensus <= -2 Example 2: Correlation-Filtered Trading pinescriptimport unicorpusstocks/MyIndicatorLibrary/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.NorosTrendRibbonEMA(50, close) // Only bullish signals with positive correlation tradeBuy = trendSignal == 1 and correlation > 0.5 tradeSell = trendSignal == -1 and correlation > 0.5 Example 3: Beta-Adjusted Position Sizing pinescriptimport unicorpusstocks/MyIndicatorLibrary/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 ⚙️ Technical Details Normalization Standard Bullish: 1 Bearish: -1 Neutral: 0 (only for selected indicators) Advantages of Normalization Simple Aggregation: Signals can be added/averaged Consistent Interpretation: No confusion about different scales Strategy Development: Simplified logic for backtesting Combinability: Seamlessly mix different indicator types 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 📋 License This code is subject to the Mozilla Public License 2.0. More details at: mozilla.org 🎯 Use Cases This library is ideal for: Quantitative Traders: Systematic strategy development with unified signals Multi-Timeframe Analysis: Consensus across different timeframes Portfolio Managers: Beta and correlation analysis for diversification Algo Traders: Machine learning with standardized features Retail Traders: Simplified signal interpretation without deep technical knowledge 🔧 Installation pinescriptimport unicorpusstocks/MyIndicatorLibrary/1 Then use the functions with your chosen alias: pinescriptlib.BBPct(20, 2.0, close) lib.RSI(14, close, 5) // etc. ⚠️ Important Notes 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 This library provides a solid foundation for professional trading system design with the flexibility to develop your own complex strategies while abstracting away technical complexity.
Perpustakaan Pine Script®
oleh Unicorpus
BTC EMA 5-9 Flip Strategy AutobotThis strategy is designed for fast and accurate trend-following trades on Bitcoin. It uses a crossover between EMA 5 and EMA 9 to detect instant trend reversals and automatically flips between Long and Short positions. How the strategy works EMA 5 crossing above EMA 9 → Long EMA 5 crossing below EMA 9 → Short Automatically closes the opposite trade during a flip Executes trades only on candle close Prevents double entries with internal position-state logic Fully compatible with automated trading via webhooks (Delta Exchange) Why this strategy works EMA 5–9 is extremely responsive for BTC’s volatility Captures trend reversals early Works best on 15-minute timeframe Clean, simple logic without over-filtering reduces missed opportunities Performs well in both uptrends and downtrends Automation Ready This strategy includes alert conditions and webhook-ready JSON for automated execution. This is a fast-reacting BTC bot designed for intraday and swing crypto trend trading.
Strategi Pine Script®
oleh kulkarniabhishek38
2
Global Sessions by Back Ground ColorGlobal Sessions Background Color Indicator This free TradingView tool visually highlights major global trading sessions directly on your chart using clean, professional color coding. It’s designed to help traders quickly identify periods of high liquidity and overlapping sessions, which often drive volatility and key price movements. Features: Session Highlights: Marks Asian, European (London), US (New York), and Overnight sessions with distinct background colors. Overlap Detection: Special colors for overlapping sessions (e.g., London + New York). Market Open/Close Alerts: Displays labels for major financial centers when they open or close. Timezone-Aware: Automatically adjusts to Europe/Amsterdam (modifiable for your needs). Clean Design: Uses a light, professional color palette for easy chart readability. Why Use It? Session timing is critical for spotting breakouts, reversals, and liquidity shifts. This indicator gives traders a clear visual edge without cluttering the chart—perfect for scalpers, day traders, and swing traders. Completely free for the TradingView community – built by a trader, for traders. How to Use the Global Sessions Indicator This indicator automatically highlights major trading sessions on your chart using background colors. It helps you quickly identify when liquidity and volatility are likely to increase. Color Guide: Light Sky Blue → Asian Session (Tokyo, Sydney) Active from 02:00 to 12:00 Amsterdam time. Often quieter but sets early trends. Light Coral → European Session (London, Frankfurt) Active from 09:00 to 17:30 Amsterdam time. Brings strong liquidity and trend continuation. Light Green → US Session (New York, Chicago) Active from 15:30 to 22:00 Amsterdam time. High volatility, major moves often occur here. Gold/Yellow → Overnight/Wellington Active from 23:00 to 02:00 Amsterdam time. Low liquidity, pre-Asia positioning. Overlap Colors: Orchid (Pinkish) → Asia + Europe Overlap Indicates transition from Asia to London—watch for breakouts. Light Salmon → Europe + US Overlap The most volatile period of the day—ideal for intraday traders. Extra Feature: Labels show market open/close times for major financial centers (e.g., London Open, New York Close).
Indikator Pine Script®
oleh Fawzi_Najjar
Event High/Mid/LowEvent High/Mid/Low - Data Release Level Tracker Automatically track and visualize high, low, and mid levels from major data events like FOMC announcements, CPI releases, NFP reports, and other market-moving data releases. KEY FEATURES: - Customizable event input - Add unlimited events using a simple text format - Flexible time periods - Set custom duration for each event (15min, 30min, 60min, etc.) - Visual clarity - Color-coded lines and optional background cloud between high/low - Clean labels - Minimalist text labels without background boxes - Fully customizable - Toggle lines, labels, and clouds on/off independently HOW TO USE: 1. Add the indicator to your chart 2. Open settings and edit the "Event Dates" text area 3. Enter one event per line in this format: YYYY-MM-DD HH:MM Minutes Label Example: 2025-01-29 14:00 30 Jan FOMC Example: 2025-02-12 08:30 30 Feb CPI 4. The indicator will automatically capture and display the high, low, and mid levels WHAT IT DISPLAYS: - High line (teal) - Highest price during the event period - Low line (pink) - Lowest price during the event period - Mid line (yellow, dotted) - Midpoint between high and low - Background cloud (optional) - Shaded area between high and low - Event window highlighting - Orange background during active events PERFECT FOR: - Tracking key support/resistance levels from economic releases - Planning entries/exits around FOMC, CPI, NFP, and other data - Analyzing how price reacts to major announcements - Identifying post-event trading ranges SUPPORTED EVENTS: Works with any scheduled economic release - FOMC, CPI, PPI, NFP, Retail Sales, GDP, and more. Simply input the date, time, duration, and a custom label. IMPORTANT LIMITATIONS: - Chart timeframe must be EQUAL TO OR SMALLER than event duration - For 30-minute events: Use 30min, 15min, 5min, 1min charts (NOT 1H, 4H, Daily) - For 60-minute events: Use 60min, 30min, 15min, 5min, 1min charts - For 15-minute events: Use 15min, 5min, 1min charts - If your chart timeframe is larger than the event duration, the indicator may not capture accurate high/low values - Recommended: Use 5-minute or 1-minute charts for maximum accuracy on all event durations NOTES: - All times are in EST/EDT (America/New_York timezone) - Comments starting with # are ignored, making it easy to organize and annotate your event list - The indicator processes events only after the specified duration has elapsed
Indikator Pine Script®
oleh yjchen88
MTF MACD – 1m / 15m / 1D / 1W//@version=6 indicator("MTF MACD – 1m / 15m / 1D / 1W", overlay=false) // MACD inputs fastLen = input.int(12, "Fast length") slowLen = input.int(26, "Slow length") signalLen = input.int(9, "Signal length") // Multi-timeframe MACD using built-in ta.macd() = request.security(syminfo.tickerid, "1", ta.macd(close, fastLen, slowLen, signalLen)) = request.security(syminfo.tickerid, "15", ta.macd(close, fastLen, slowLen, signalLen)) = request.security(syminfo.tickerid, "D", ta.macd(close, fastLen, slowLen, signalLen)) = request.security(syminfo.tickerid, "W", ta.macd(close, fastLen, slowLen, signalLen)) // Plot MACD lines for each timeframe plot(macd_1m, title="MACD 1m", color=color.red, linewidth=2) plot(macd_15m, title="MACD 15m", color=color.blue, linewidth=2) plot(macd_1d, title="MACD 1D", color=color.green, linewidth=2) plot(macd_1w, title="MACD 1W", color=color.orange, linewidth=2) // (Optional) you can uncomment these if you also want signals/histograms: // plot(signal_1m, title="Signal 1m", color=color.new(color.red, 50), style=plot.style_dotted) // plot(signal_15m, title="Signal 15m", color=color.new(color.blue, 50), style=plot.style_dotted) // plot(signal_1d, title="Signal 1D", color=color.new(color.green, 50), style=plot.style_dotted) // plot(signal_1w, title="Signal 1W", color=color.new(color.orange, 50), style=plot.style_dotted) // plot(hist_1m, title="Hist 1m", color=color.red, style=plot.style_histogram) // plot(hist_15m, title="Hist 15m", color=color.blue, style=plot.style_histogram) // plot(hist_1d, title="Hist 1D", color=color.green, style=plot.style_histogram) // plot(hist_1w, title="Hist 1W", color=color.orange, style=plot.style_histogram)
Indikator Pine Script®
oleh VCSCO
RSI MTF 15m + 1h (Oriol)//@version=5 indicator("RSI MTF 15m + 1h (Oriol)", overlay = false, timeframe = "", timeframe_gaps = true) // ─── PARÀMETRES ───────────────────────────────────────────── rsiLength = input.int(14, "Període RSI") src = input.source(close, "Font de preu") tfFast = input.timeframe("15", "Timeframe ràpid (RSI 15m)") tfSlow = input.timeframe("60", "Timeframe lent (RSI 1h)") showSignals = input.bool(true, "Mostrar senyals LONG/SHORT") // ─── RSI MULTITIMEFRAME ──────────────────────────────────── // RSI del timeframe ràpid (per defecte 15m) src_fast = request.security(syminfo.tickerid, tfFast, src) rsi_fast = ta.rsi(src_fast, rsiLength) // RSI del timeframe lent (per defecte 1h) src_slow = request.security(syminfo.tickerid, tfSlow, src) rsi_slow = ta.rsi(src_slow, rsiLength) // ─── DIBUIX RSI ───────────────────────────────────────────── plot(rsi_fast, title = "RSI ràpid (15m)", color = color.new(color.aqua, 0), linewidth = 2) plot(rsi_slow, title = "RSI lent (1h)", color = color.new(color.orange, 0), linewidth = 2) hline(70, "Sobrecomprat", color = color.new(color.red, 70), linestyle = hline.style_dashed) hline(30, "Sobrevenut", color = color.new(color.lime, 70), linestyle = hline.style_dashed) hline(50, "Mitja", color = color.new(color.gray, 80)) // ─── CONDICIONS D’EXEMPLE ─────────────────────────────────── // LONG: RSI 1h < 40 i RSI 15m creua cap amunt 30 // SHORT: RSI 1h > 60 i RSI 15m creua cap avall 70 longCond = (rsi_slow < 40) and ta.crossover(rsi_fast, 30) shortCond = (rsi_slow > 60) and ta.crossunder(rsi_fast, 70) // ─── SENYALS (SENSE SCOPE LOCAL) ──────────────────────────── plotshape(showSignals and longCond, title = "Possible LONG", style = shape.triangleup, location = location.bottom, color = color.new(color.lime, 0), size = size.small, text = "LONG") plotshape(showSignals and shortCond, title = "Possible SHORT", style = shape.triangledown, location = location.top, color = color.new(color.red, 0), size = size.small, text = "SHORT") // ─── ALERTES ──────────────────────────────────────────────── alertcondition(longCond, title = "Senyals LONG RSI 15m+1h", message = "Condició LONG RSI 15m + 1h complerta") alertcondition(shortCond, title = "Senyals SHORT RSI 15m+1h", message = "Condició SHORT RSI 15m + 1h complerta")
Indikator Pine Script®
oleh oriolpenalver
INMERELO EMA Reclaim HighlighterOverview The INMERELO EMA Reclaim indicator highlights intraday candles reclaiming a configurable EMA on any timeframe. It identifies candles based on customizable candle geometry filters and confirms momentum using a custom MACD setup. Features Configurable Intraday EMA Any EMA length and timeframe. Default: 6-period EMA on chart timeframe. Highlights when price reclaims the EMA after a configurable number of prior closes below it. Candle Geometry Filters (ORB-Style) Open Position: Maximum position of open relative to candle range (0–1). Default: 0.40 Close Position: Minimum position of close relative to candle range (0–1). Default: 0.70 Body Fraction: Minimum body size relative to candle range. Default: 0.50 Custom MACD Filter Fast line above slow line. Configurable: Fast (default 6), Slow (default 20), Signal (default 9). Prior Closes Below EMA Filter Configurable minimum number of prior closes below EMA. Default: 2 Visual Options Paint candle with configurable color. Optional arrow display above reclaim candle (toggleable). Flexible Works on any intraday timeframe, including 5-minute, 2-minute, 15-minute, etc. Settings Overview Setting Default Notes EMA Length 6 EMA used for reclaim detection EMA Timeframe Chart TF Can be set to any intraday timeframe Open ≤ 0.40 ORB-style filter Close ≥ 0.70 ORB-style filter Body Fraction 0.50 ORB-style filter Min Prior Closes Below EMA 2 Minimum closes below EMA before reclaim MACD Fast 6 Custom MACD fast line MACD Slow 20 Custom MACD slow line MACD Signal 9 Custom MACD signal line Paint Candle True Highlights valid candles Candle Color Lime Configurable Show Arrow False Optional visual Summary: The INMERELO EMA Reclaim indicator identifies intraday candles reclaiming a configurable EMA, filtered by customizable candle geometry and MACD momentum. Visual options include painted candles and optional arrows, and all settings are fully configurable.
Indikator Pine Script®
oleh JackCorsellis
3
Multitimeframe Stochastic RSIIndicator is Combining 4 different timeframe Stochastic RSI and show buy signal when all of them are oversold and sell signal when all of them are overbought. Default settings are set up for 15 minute timeframe: K1 - 15M (period = 14) K2 - 30M (period = 28) K3 - 1H (period = 56) K4 - 2H (period = 112) It indicates top and bottoms of given period. Its good to use as a confirmation indicator. Feel free to comment and use it. Greetings!
Indikator Pine Script®
oleh ELITE_TRADING_DAILY
Stochastic RSI - WT Confluence Signal Detectors (TraderDemircan)Description What This Indicator Does: This indicator combines two powerful momentum oscillators—WaveTrend and Stochastic RSI—to identify high-probability trading signals through confluence. Instead of relying on a single indicator that may generate false signals, this tool only triggers buy/sell alerts when both oscillators simultaneously confirm extreme market conditions and trend reversals. This confluence approach significantly reduces noise and helps traders focus on the most reliable setups. Key Features: Dual-Oscillator Confluence: Generates signals only when both WaveTrend crossovers and Stochastic RSI extreme levels align Normalized Scale Display: Both oscillators are plotted on a unified -100 to +100 scale for easy visual comparison Visual Signal Confirmation: Clear intersection points marked with colored circles, plus optional candle coloring at crossover moments Customizable Thresholds: Adjust overbought/oversold levels for both oscillators to match your trading style and asset volatility Clean Visual Presentation: Optional area fill showing WaveTrend momentum difference, making divergences easier to spot How It Works: The indicator operates on a confluence principle where multiple conditions must align: For BUY Signals (Green): WaveTrend 1 crosses above WaveTrend 2 (bullish crossover) WaveTrend is in oversold territory (below -53 or -60) Stochastic RSI K-line is below 20 (oversold) For SELL Signals (Red): WaveTrend 1 crosses below WaveTrend 2 (bearish crossover) WaveTrend is in overbought territory (above 53 or 60) Stochastic RSI K-line is above 80 (overbought) WaveTrend Component: Uses the hlc3 price (average of high, low, close) to calculate a channel index that identifies market momentum waves. The two WaveTrend lines (WT1 and WT2) act similarly to MACD, where crossovers indicate momentum shifts. The oscillator ranges from approximately -100 to +100, with extreme values suggesting potential reversals. Stochastic RSI Component: Applies stochastic calculations to RSI values rather than raw price, creating a more sensitive momentum indicator. Values above 80 indicate overbought conditions (potential selling opportunity), while values below 20 indicate oversold conditions (potential buying opportunity). The indicator includes both K-line (faster) and D-line (slower, smoothed) for additional confirmation. Normalization Technology: To enable direct visual comparison, the Stochastic RSI (normally 0-100 scale) is normalized to match WaveTrend's -100 to +100 scale. This allows traders to see both oscillators' movements in relation to the same reference levels, making divergences and convergences more apparent. How to Use: For Trend Traders: Wait for confluence signals in the direction of the larger trend Use buy signals in uptrends as entry points during pullbacks Use sell signals in downtrends as entry points during bounces For Reversal Traders: Focus on confluence signals at major support/resistance levels Look for divergences between price and oscillators before confluence signals Consider stronger signals when both oscillators reach extreme levels (WT beyond ±60, Stoch beyond 20/80) For Scalpers: Lower the WaveTrend Channel Length (default 10) to 5-7 for more frequent signals Tighten overbought/oversold thresholds slightly (e.g., WT: ±50, Stoch: 30/70) Use on lower timeframes (5m, 15m) with strict stop losses Settings Guide: WaveTrend Parameters: Channel Length (10): Controls sensitivity. Lower = more signals but more noise. Higher = fewer but more reliable signals Average Length (21): Smoothing period for WT2. Higher values reduce whipsaws Overbought Levels (60/53): Two-tier system. Breaching 60 indicates strong overbought, 53 is moderate Oversold Levels (-60/-53): Mirror of overbought levels for downside extremes Stochastic RSI Parameters: K-Smooth (3): Smoothing for the K-line. Higher = smoother but delayed D-Smooth (3): Additional smoothing for the D-line signal RSI Period (14): Standard RSI calculation period Stoch Period (14): Stochastic calculation lookback Oversold (20) / Overbought (80): Classic thresholds for extreme conditions Visual Options: Show WT Difference Area: Displays the momentum difference between WT1 and WT2 as a blue shaded area Show WT Intersection Points: Marks crossover points with colored circles (red for bearish, green for bullish) Color Candles at Intersection: Changes candle colors at crossover moments (blue for bearish, yellow for bullish) Show Stoch Over Signals: Displays when Stochastic RSI breaches extreme levels What Makes This Original: While WaveTrend and Stochastic RSI are established indicators, this script's originality lies in: Confluence Logic: The specific combination requiring simultaneous confirmation from both oscillators in extreme zones, not just simple crossovers Normalization Approach: Displaying both oscillators on the same -100 to +100 scale for direct visual comparison, which is not standard Multi-Tier Overbought/Oversold: Using two levels (60/53) instead of one, allowing for nuanced signal strength assessment Integrated Visual System: Combining area fills, intersection markers, and candle coloring in a coordinated display that shows momentum flow at a glance Important Considerations: This is a momentum-based oscillator system, which performs best in ranging or trending markets with clear swings In strong trending markets, the oscillator may remain in extreme zones for extended periods (remain overbought during strong uptrends, oversold during strong downtrends) Confluence signals are intentionally rare to maintain quality—expect fewer signals than with single-indicator systems Always combine with price action analysis, support/resistance levels, and proper risk management Not recommended for extremely low volatility or thin markets where oscillators may produce erratic readings Best Timeframes: Intraday: 15m, 1H (with tighter parameters) Swing Trading: 4H, Daily (with default parameters) Position Trading: Daily, Weekly (with extended Channel Length 15-20) Typical Use Cases: Identifying exhaustion points in trending markets Timing entries during pullbacks in established trends Spotting potential reversal zones at key price levels Filtering out weak momentum signals during consolidation
Indikator Pine Script®
oleh TraderDemircan_
BTC CME Gaps Detector [SwissAlgo]BTC CME Gaps Detector Track Unfilled Gaps & Identify Price Magnets ------------------------------------------------------ Overview The BTC CME Gap Detector identifies and tracks unfilled price gaps on any timeframe (1-minute recommended for scalping) to gauge potential trading bias. Verify Gap Behavior Yourself : Use TradingView's Replay Mode on the 1-Minute chart to observe how the price interacts with gaps. Load the BTC1! ticker (Bitcoin CME Futures), enable Replay Mode, and play forward through time (for example: go back 15 days). You may observe patterns such as price frequently returning to fill gaps, nearest gaps acting as near-term targets, and gaps serving as potential support/resistance zones. Some gaps may fill quickly, while others may remain open for longer periods. This hands-on analysis lets you independently assess how gaps may influence price movement in real market conditions and whether you may use this indicator as a complement to your trading analysis. ------------------------------------------------------ Purpose Price gaps occur when there is a discontinuity between consecutive candles - when the current candle's low is above the previous candle's high (gap up), or when the current candle's high is below the previous candle's low (gap down). This indicator identifies and tracks these gaps on any timeframe to help traders: Identify gap zones that may attract price (potential "price magnets") Monitor gap fill progression Assess potential directional bias based on nearest unfilled gaps (long, short) Analyze market structure and liquidity imbalances ------------------------------------------------------ Why Use This Indicator? Universal Gap Detection : Identifies all gaps on any timeframe (1-minute, hourly, daily, etc.) Multi-Candle Mitigation Tracking : Detects gap fills that occur across multiple candles Distance Analysis : Shows percentage distance to nearest bullish and bearish gaps Visual Representation : Color-coded boxes indicate gap status (active vs. mitigated) Age Filtering : Option to display only gaps within specified time periods (3/6/12/24 months), as older gaps may lose relevance ATR-Based Sizing : Minimum gap size adjusts to instrument volatility to filter noise (i.e. small gaps) ------------------------------------------------------ Trading Concept Gaps represent price zones where no trading occurred. Historical market behavior suggests that unfilled gaps may attract price action as markets tend to revisit areas of incomplete price discovery. This phenomenon creates potential trading opportunities: Bullish gaps (above current price) may act as upside targets where the price could move to fill the gap Bearish gaps (below current price) may act as downside targets where price could move to fill the gap The nearest gap often provides directional bias, as closer gaps may have a higher probability of being filled in the near term This indicator helps quantify gap proximity and provides a visual reference for these potential target zones. EXAMPLE Step 1: Bearish Gaps Appear Below Price Step 2: Price Getting Close to Fill Gap Step 3: Gap Mitigated Gap ------------------------------------------------------ Recommended Setup Timeframe: 1-minute chart recommended for maximum gap detection frequency. Works on all timeframes (higher timeframes will show fewer, larger gaps). Symbol: Any tradable instrument. Originally designed for BTC1! (CME Bitcoin Futures) but compatible with all symbols. Settings: ATR Length: 14 (default) Min Gap Size: 0.5x ATR (adjust based on timeframe and noise level) Gap Age Limit: 3 months (configurable) Max Historical Gaps: 300 (adjustable 1-500) ------------------------------------------------------ How It Works Gap Detection : Identifies price discontinuities on every candle where: Gap up: current candle low > previous candle high Gap down: current candle high < previous candle low Minimum gap size filter (ATR-based) eliminates insignificant gaps Mitigation Tracking : Monitors when price touches both gap boundaries. A gap is marked as filled when the price has touched both the top and bottom of the gap zone, even if this occurs across multiple candles. Visual Elements : Green boxes: Unfilled gaps above current price (potential bullish targets) Red boxes: Unfilled gaps below current price (potential bearish targets) Gray boxes: Filled gaps (historical reference) Labels: Display gap type, price level, and distance percentage Analysis Table: Shows : Distance % to nearest bullish gap (above price) Distance % to nearest bearish gap (below price) Trade bias (LONG if nearest gap is above, SHORT if nearest gap is below) ------------------------------------------------------ Key Features Detects gaps on any timeframe (1m, 5m, 1h, 1D, etc.) Boxes extend 500 bars forward for active gaps, stop at the fill bar for mitigated gaps Real-time distance calculations update on every candle Configurable age filter removes outdated gaps ATR multiplier ensures gap detection adapts to market volatility and timeframe ------------------------------------------------------ Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or trading signals. The concept that gaps attract price is based on historical observation and does not guarantee future results. Gap fills are not certain - gaps may remain unfilled indefinitely, or the price may reverse before reaching a gap. This indicator should not be used as the sole basis for trading decisions. All trading involves substantial risk, including the potential loss of principal. Users should conduct their own research, apply proper risk management, test strategies thoroughly, and consult with qualified financial professionals before making trading decisions. The authors and publishers are not responsible for any losses incurred through the use of this indicator.
Indikator Pine Script®
oleh SwissAlgo
TrendDetectorLibLibrary "TrendDetector_Lib" method formatTF(timeframe)   Namespace types: series string, simple string, input string, const string   Parameters:      timeframe (string) : (string) The timeframe to convert (e.g., "15", "60", "240").   Returns: (string) The formatted timeframe (e.g., "15M", "1H", "4H"). f_ma(type, src, len)   Computes a Moving Average value based on type and length.   Parameters:      type (simple string) : (string) One of: "SMA", "EMA", "RMA", "WMA", "VWMA".      src (float) : (series float) Source series for MA (e.g., close).      len (simple int) : (simple int) Length of the MA.   Returns: (float) The computed MA series. render(tbl, trendDetectorSwitch, frameColor, frameWidth, borderColor, borderWidth, textColor, ma1ShowTrendData, ma1Timeframe, ma1Value, ma2ShowTrendData, ma2Timeframe, ma2Value, ma3ShowTrendData, ma3Timeframe, ma3Value)   Fills the provided table with Trend Detector contents. @desc This renderer does NOT plot and does NOT create tables; call from indicator after your table exists.   Parameters:      tbl (table) : (table) Existing table to render into.      trendDetectorSwitch (bool) : (bool) Master toggle to draw the table content.      frameColor (color) : (color) Table frame color.      frameWidth (int) : (int) Table frame width (0–5).      borderColor (color) : (color) Table border color.      borderWidth (int) : (int) Table border width (0–5).      textColor (color) : (color) Table text color.      ma1ShowTrendData (bool) : (bool) Show MA #1 in table.      ma1Timeframe (simple string) : (string) MA #1 timeframe.      ma1Value (float)      ma2ShowTrendData (bool) : (bool) Show MA #2 in table.      ma2Timeframe (simple string) : (string) MA #2 timeframe.      ma2Value (float)      ma3ShowTrendData (bool) : (bool) Show MA #3 in table.      ma3Timeframe (simple string) : (string) MA #3 timeframe.      ma3Value (float)
Perpustakaan Pine Script®
oleh rithsilanew2020
ICT Sessions Ranges [SwissAlgo]ICT Session Ranges - ICT Liquidity Zones & Market Structure OVERVIEW This indicator identifies and visualizes key intraday trading sessions and liquidity zones based on Inner Circle Trader (ICT) methodology (AM, NY Lunch Raid, PM Session, London Raid). It tracks 'higher high' and 'lower low' price levels during specific time periods that may represent areas where market participants have placed orders (liquidity). PURPOSE The indicator helps traders observe: Session-based price ranges during different market hours Opening range gaps between market close and next day's open Potential areas where liquidity may be concentrated and trigger price action SESSIONS TRACKED 1. London Session (02:00-05:00 ET): Tracks price range during early London trading hours 2. AM Session (09:30-12:00 ET): Tracks price range during the morning New York session 3. NY Lunch Session (12:00-13:30 ET): Tracks price range during typical low-volume lunch period 4. PM Session (13:30-16:00 ET): Tracks price range during the afternoon New York session CALCULATIONS Session High/Low: The highest high and lowest low recorded during each active session period Opening Range Gap: Calculated as the difference between the previous day's 16:00 close and the current day's 09:30 open Gap Mitigation: A gap is considered mitigated when the price reaches 50% of the gap range All times are based on America/New_York timezone (ET) BACKGROUND INDICATORS NY Trading Hours (09:30-16:00 ET): Optional gray background overlay Asian Session (20:00-23:59 ET): Optional purple background overlay VISUAL ELEMENTS Horizontal lines mark session highs and lows Subtle background boxes highlight each session range Labels identify each session type Orange shaded boxes indicate unmitigated opening range gaps Dotted line at 50% gap level shows mitigation threshold FEATURES Toggle visibility for each session independently Customizable colors for each session type Automatic removal of mitigated gaps All drawing objects use transparent backgrounds for chart clarity ICT CONCEPTS This tool relates to concepts discussed by Inner Circle Trader regarding liquidity pools, session-based analysis, and gap theory. The indicator assumes that session highs and lows may represent areas where liquidity is concentrated, and that opening range gaps may attract price until mitigated. USAGE NOTES Best used on intraday timeframes (1-15 minute charts) All sessions are calculated based on actual price movement during specified time periods Historical session data is preserved as new sessions develop Gap detection only triggers at 09:30 ET market open DISCLAIMER This indicator is for educational and informational purposes only. It displays historical price levels and time-based calculations. Past performance of price levels is not indicative of future results. The identification of "liquidity zones" is a theoretical concept and does not guarantee that orders exist at these levels or that prices will react to them. Trading involves substantial risk of loss. Users should conduct their own analysis and risk assessment before making any trading decisions. TIME ZONE Set your timezone to: America/New_York (UTC-5)
Indikator Pine Script®
oleh SwissAlgo
MTF EMA Trading SystemHere's a comprehensive description and usage guide for publishing your MTF EMA Trading System indicator on TradingView: MTF EMA Trading System - Pro Edition 📊 Indicator Overview The MTF EMA Trading System is an advanced multi-timeframe exponential moving average indicator designed for traders seeking high-probability setups with multiple confirmations. Unlike simple EMA crossover systems, this indicator combines trend alignment, momentum, volume analysis, and previous day confluence to generate reliable long and short signals with optimal risk-reward ratios. ✨ Key Features 1. Multi-Timeframe EMA Analysis Configure 5 independent EMAs (default: 9, 21, 50, 100, 200) Each EMA can pull data from ANY timeframe (5m, 15m, 1H, 4H, 1D, etc.) Color-coded lines with customizable widths End-of-line labels showing EMA period and timeframe (e.g., "EMA200 ") Perfect for analyzing higher timeframe trends on lower timeframe charts 2. Advanced Signal Generation (Beyond Simple Crosses) The system requires MULTIPLE confirmations before generating a signal: LONG Signals Require: ✅ Price action trigger (EMA cross, bounce from key EMA, or pullback setup) ✅ Bullish EMA alignment (EMAs in proper ascending order) ✅ Volume spike confirmation (configurable threshold) ✅ RSI momentum confirmation (bullish but not overbought) ✅ Sufficient EMA separation (avoids choppy/whipsaw conditions) ✅ Price above previous day's low (confluence with support) SHORT Signals Require: ✅ Price action trigger (EMA cross, rejection from key EMA, or pullback setup) ✅ Bearish EMA alignment (EMAs in proper descending order) ✅ Volume spike confirmation ✅ RSI momentum confirmation (bearish but not oversold) ✅ Sufficient EMA separation ✅ Price below previous day's high (confluence with resistance) 3. Real-Time Dashboard Displays critical market conditions at a glance: Overall trend direction (Bullish/Bearish/Neutral) Price position relative to all EMAs Volume status (spike or normal) RSI momentum reading EMA confluence strength EMA separation quality Current ATR value Previous day high/low levels Current signal status (LONG/SHORT/WAIT) Risk-reward ratio 4. Clean Visual Design Large, clear trade signal markers (green triangles for LONG, red triangles for SHORT) No chart clutter - only essential information displayed Customizable signal sizes Professional color-coded dashboard 5. Built-In Risk Management ATR-based calculations for stop loss placement 1:2 risk-reward ratio by default All levels displayed in dashboard for easy reference 🎯 How to Use This Indicator Step 1: Initial Setup Add the indicator to your TradingView chart Configure your preferred timeframes for each EMA: EMA 9: Leave blank (uses chart timeframe) - Fast reaction to price EMA 21: Leave blank or set to 15m - Key pivot level EMA 50: Set to 1H - Intermediate trend EMA 100: Set to 4H - Major trend filter EMA 200: Set to 1D - Overall market bias Adjust signal settings based on your trading style: Conservative: Keep all confirmations enabled Aggressive: Disable volume or momentum requirements Scalping: Reduce min EMA separation to 0.2-0.3% Step 2: Reading the Dashboard Before taking any trade, check the dashboard: Trend: Only take LONG signals in bullish trends, SHORT signals in bearish trends Position: Confirm price is on the correct side of EMAs Volume: Green spike = strong confirmation RSI: Avoid extremes (>70 or <30) Confluence: "Strong" = high probability setup Separation: "Good" = trending market, avoid "Low" separation Step 3: Trade Entry For LONG Trades: Wait for green triangle to appear below price Verify dashboard shows: Bullish or Neutral trend Volume spike (preferred) RSI between 50-70 Good separation Enter at market or on next bar Set stop loss at: Entry - (ATR × 2) Set target at: Entry + (ATR × 4) For SHORT Trades: Wait for red triangle to appear above price Verify dashboard shows: Bearish or Neutral trend Volume spike (preferred) RSI between 30-50 Good separation Enter at market or on next bar Set stop loss at: Entry + (ATR × 2) Set target at: Entry - (ATR × 4) Step 4: Trade Management Use the ATR values from dashboard for position sizing Trail stops using the fastest EMA (EMA 9) as price moves in your favor Exit partial position at 1:1 risk-reward, let remainder run to target Exit immediately if dashboard trend changes against your position 💡 Best Practices Timeframe Recommendations: Scalping: 1m-5m chart with 5m, 15m, 1H, 4H, 1D EMAs Day Trading: 5m-15m chart with 15m, 1H, 4H, 1D EMAs Swing Trading: 1H-4H chart with 4H, 1D, 1W EMAs Position Trading: 1D chart with 1D, 1W, 1M EMAs Market Conditions: Best in: Trending markets with clear direction Avoid: Tight consolidation, low volume periods, major news events Filter trades: Only take signals aligned with higher timeframe trend Risk Management: Never risk more than 1-2% per trade Use ATR from dashboard to calculate position size Respect the stop loss levels Don't force trades when dashboard shows weak conditions ⚙️ Customization Options EMA Settings (for each of 5 EMAs): Length (period) Timeframe (multi-timeframe capability) Color Line width Show/hide toggle Signal Settings: Volume confirmation (on/off) Volume spike threshold (1.0-3.0x) Momentum confirmation (on/off) RSI overbought/oversold levels Minimum EMA separation percentage ATR period and stop multiplier Display Settings: Show/hide EMA labels Show/hide trade signals Signal marker size (tiny/small/normal/large) Show/hide dashboard 🔔 Alert Setup The indicator includes 4 alert conditions: LONG Signal - Fires when all long confirmations are met SHORT Signal - Fires when all short confirmations are met Bullish Setup - Early warning when trend aligns bullish with volume Bearish Setup - Early warning when trend aligns bearish with volume To set up alerts: Right-click on chart → Add Alert Select "MTF EMA Trading System" Choose your desired alert condition Configure notification method (popup, email, SMS, webhook) 📈 Performance Tips Increase Win Rate: Only trade in direction of higher timeframe trend Wait for volume spike confirmation Avoid trades during first 30 minutes and last 15 minutes of session Skip trades when separation is "Low" Reduce False Signals: Increase minimum EMA separation to 0.7-1.0% Enable all confirmation requirements Only trade when confluence shows "Strong" Combine with support/resistance levels Optimize for Your Market: Stocks: Use 9, 21, 50, 100, 200 EMAs Forex: Consider 8, 13, 21, 55, 89 EMAs (Fibonacci) Crypto: May need wider ATR multiplier (2.5-3.0x) for volatility ⚠️ Important Notes This indicator is designed to reduce false signals by requiring multiple confirmations No indicator is 100% accurate - always use proper risk management Backtesting recommended before live trading Market conditions change - adjust settings as needed Works best in liquid markets with clear price action 🎓 Conclusion The MTF EMA Trading System transforms simple moving average analysis into a sophisticated, multi-confirmation trading strategy. By combining trend alignment, momentum, volume, and confluence, it helps traders identify high-probability setups while filtering out noise and false signals. The clean interface and comprehensive dashboard make it suitable for both beginners and experienced traders across all markets and timeframes.
Indikator Pine Script®
oleh karanKM
VWAP – Pivot Pairs (SECONDS‑BASED RESET)VWAP – Pivot Pairs (SECONDS-BASED RESET) is a Pine Script v6 indicator for TradingView that combines pivot-based breakout detection with resettable VWAP (Volume Weighted Average Price) calculations over user-defined rolling time periods in seconds.It identifies high and low swing pivots via breakout logic, then calculates two VWAP lines per anchor:One using high/low as the price source, One using close as the price source. These form "pivot pairs" that reset automatically at the start of each custom-duration period (e.g., every 300 seconds), starting from a user-defined UTC time of day (default: 09:30 UTC).Visuals include:Colored VWAP lines (high pair: red, low pair: green), Semi-transparent fill zones between each pair, Optional toggles to show/hide high or low pairs. Use CasesUse Case Description Intraday Scalping (1–15 min charts) Use 60–300 second resets to capture micro-trends within larger sessions. VWAP pairs act as dynamic support/resistance after breakouts. High-Frequency / Algo Validation Backtest strategies on tick/second charts where traditional session resets fail. Align resets with exchange micro-sessions or volatility windows. Opening Range Breakout (ORB) Enhancement Set period_seconds = 1800 (30 min) and start time = 09:30 UTC → VWAP builds only on first 30 mins post-open, then floats. Pairs show deviation from ORB mean. Range-Bound Market Analysis In choppy markets, VWAP pairs converge near fair value. Divergence signals potential breakout. Fill color intensity shows conviction. Multi-Timeframe Confluence Overlay on 1-second chart with 300s reset → matches 5-minute structure. Use close-based VWAP for entries, high/low-based for stops. Key Features SummaryFeature Function period_seconds Rolling window length in seconds (e.g., 300 = 5 min) period_start_time UTC time-of-day anchor (default: 09:30) new_period logic Triggers full reset of pivots + VWAP on exact second boundary breakingHigher / breakingLower Detects confirmed breakouts (not just close above high) Dual VWAP per anchor ta.vwap(high) and ta.vwap(close) for range-aware mean Fill zones Visual value area between high/close VWAPs Toggle visibility Independently show/hide high or low pivot pairs How It Works – Step-by-StepTime Engine Converts user inputs → milliseconds Calculates current period start time using integer division from epoch Detects exact bar when new period begins (new_period = true) On New Period Resets both high/low anchors to current bar’s h and l Forces VWAP recalculation from this bar forward Breakout Detection Only triggers on strong candles (rising/falling, non-doji) Requires open/close beyond prior pivot → avoids wicks-only breaks VWAP Accumulation ta.vwap(source, reset_condition) restarts when anchor resets Two sources per side → shows where volume clustered (at highs vs closes) Plotting Four lines + two fills Clean, customizable, overlay-friendly Pro TipsUse on Heikin Ashi for smoother breakout signals. Combine with volume profile to validate VWAP clusters. For crypto, set period_start_time = 0 (00:00 UTC) for clean 4-hour resets. Add alerts on new_period or breakingHigher for automation. In short: This is a precision VWAP tool for time-boxed, pivot-driven mean reversion and breakout trading, ideal for scalpers, day traders, and algo developers needing sub-session granularity.
Indikator Pine Script®
oleh surfchaser
🧠 Quantum Regime Shift Detector v4.0 — Enhanced Edition🧠 Quantum Regime Shift Detector v4.0 — Enhanced Edition Overview: A cutting-edge, AI-weighted market-regime detector that dynamically tracks volatility, trend, and momentum to pinpoint transitions 🟥, stability 🟩, and uncertainty 🟨 in real time. 📊 Dashboard Interpretation 🟩 Stable: Low volatility — range or accumulation phase → great for steady entries or breakouts. 🟥 Transition: High volatility — regime shift → trend changes / explosive moves likely. 🟨 Uncertain: Neutral zone → patience and tight risk control advised. 💡 Key Features ⚙️ Probability Gauge → quantifies shift likelihood (> 70 % = high confidence) 📈 Flow Bias → shows bullish / bearish directional pressure 🔄 Divergence Alerts → Bull / Bear signals anticipate reversals 🧭 S/R Zones → adaptive pivot-based support & resistance ⏫ MTF Analysis → confirm alignment with higher timeframes 🎯 Trading Applications ✅ Enter during 🟩 stable regimes with confirmed bias direction. ⚠️ Trim or hedge when 🟥 transition appears. 🔃 Use divergence alerts for reversal timing and confirmation. 🧩 Customization 🔧 Tune Feature Weights (volatility / trend / momentum) 🧮 Enable Auto Thresholds for adaptive sensitivity ⏱️ Set Confirmation Bars to filter noise 🌐 Toggle MTF Mode for multi-timeframe synergy 📘 Best Practice: Use on liquid assets (≥ 15 min TF). Combine with price action, VWAP, and volume profiling for the clearest market DNA signals. ✨ Character count: ≈ 1,470 (TradingView limit safe)
Indikator Pine Script®
oleh Netrade
Liquidity + Order-Flow Exhaustion (Smart-Money Logic)Liquidity + Order-Flow Exhaustion (Smart-Money Logic) is a visual tool that helps traders recognize where big market participants (“smart money”) are likely accumulating or distributing positions. It identifies liquidity sweeps (stop-hunts above or below previous swing levels) and market structure shifts (reversals confirmed by price closing back in the opposite direction). In simple terms, it shows where price “tricks” retail traders into chasing breakouts — right before reversing. How it works: The script scans recent highs and lows to find when price breaks them and quickly rejects — a sign of stop-hunts or liquidity grabs. It then checks for a close back inside the previous range to confirm a possible Market Structure Shift (MSS). When this happens, the chart highlights the zone and optionally adds directional labels (🔹 or 🔸) to mark where the liquidity event occurred. How to read the signals: 🟢 Bullish shift — Price takes out a previous low, then closes higher. This often marks the end of a short-term down-move. 🔴 Bearish shift — Price sweeps a previous high, then closes lower. This often marks the end of a short-term rally. Colored backgrounds and labels help visualize these key reversals directly on the chart. How to use it: Apply to any timeframe; 15-minute to 4-hour charts work best. Use it to confirm reversals near major swing points or liquidity zones. Combine with volume spikes, displacement candles, or Fair-Value Gaps (FVGs) for stronger confirmation. What makes it original: Simple, self-contained logic inspired by Smart Money Concepts (SMC). Automatically detects both liquidity sweeps and the subsequent structural shift. Visual and alert-ready design — perfect for discretionary or algorithmic strategies. Tip: For even better accuracy, align detected shifts with higher-timeframe bias or VWAP deviations.
Indikator Pine Script®
oleh tkarolak
3
ALN Sessions Box Breakout — Auto- DSTDevoleper: Sheikh Rakib What it does This indicator draws session range boxes for Asia (Dhaka), London, and New York using each market’s own local time (DST-aware). After a session closes, it watches for the first close above the session high or below the session low and then marks that breakout once per session with clear chart markers and optional alerts. Key features Auto-DST, per-city timezones London session uses Europe/London New York session uses America/New_York Asia session uses Asia/Dhaka Your chart timezone doesn’t matter—the sessions track real local hours. Clean range boxes with adjustable opacity and optional outlines. Session labels that auto-center at the end of each session. One-shot breakout signals per session: Triangle up when price closes above the session high. Triangle down when price closes below the session low. Built-in alerts for: session starts and each breakout direction. Inputs London / New York / Asia (Dhaka) Show Session: toggle each session on/off Time Range: default London 08:00–17:00 (local), New York 08:00–17:00 (local), Asia 06:00–15:00 (Dhaka) Colour: box color for each session Settings Show Session Labels Show Range Outline Opacity Preset: Dark / Medium / Light (UTC Offset input is kept for display, not used in session detection.) Visuals & alerts Boxes extend from session open to close, continually updating the high/low. When the session ends, the final high/low are locked in, the label is centered, and the indicator begins monitoring for a breakout. Alerts Session start: Asia/London/New York Breakouts: “High Breakout” (close > high) and “Low Breakout” (close < low) for each session Create alerts from the TradingView alert dialog and choose the desired alertcondition. Logic notes (how signals fire) While a session is open, its box grows to contain all highs/lows. On the first bar after close, the script starts listening for a breakout: Close > session high → one up signal (fires once) Close < session low → one down signal (fires once) When the next same session begins, internal flags reset and a new box starts—so signals are inherently scoped to the period between that session’s close and its next open. Tips Use on intraday timeframes (e.g., 1m–30m) for clearer box structure. If you only want specific markets, toggle others off for a cleaner chart. For systematic entries, combine with your trend/volatility filters and use the breakout alerts as triggers or confirmations—this script doesn’t place trades. Disclaimer: Market timing and risk management are your responsibility. Past session behavior does not guarantee future performance.
Indikator Pine Script®
oleh Greenbd
Twiggs Go Money Flow Enhanced [KingThies]█ OVERVIEW The Twiggs Money Flow (TMF) is a volume-weighted momentum oscillator that measures buying and sellistng pressure by analyzing where price closes within each bar's true range. It's an enhanced version of Chaikin Money Flow that uses Wilder's smoothing method, providing better trend persistence and smoother signals. The indicator oscillates around a zero listne: Values above zero indicate accumulation (buying pressure) Values below zero indicate distribution (sellistng pressure) TMF was developed by Colistn Twiggs as an improvement over traditional money flow indicators by incorporating true range calculations and Wilder's exponential moving average. █ CONCEPTS True Range Boundaries TMF calculates a modified true range for each bar by comparing the current bar's high and low with the previous close: True Range High = maximum of (previous close, current high) True Range Low = minimum of (previous close, current low) This accounts for overnight gaps and ensures price continuity between bars. Average Daily Value (ADV) The ADV represents the portion of volume attributable to buying versus sellistng: ADV = Volume × ((Close - TR Low) - (TR High - Close)) / True Range When price closes near the high of the true range, ADV is positive and large. When price closes near the low, ADV is negative and large. A close in the middle produces values near zero. Wilder's Moving Average Unlistke simple moving averages, Wilder's smoothing method gives more weight to recent values while maintaining memory of historical data: WMA = (Previous WMA × (Period - 1) + Current Value) / Period This creates smoother trends that are less prone to whipsaws than standard moving averages. Final Calculation TMF = Wilder's MA(ADV, Period) / Wilder's MA(Volume, Period) By dividing smoothed ADV by smoothed volume, TMF normalistzes the reading and makes it comparable across different securities and timeframes. █ HOW TO USE Zero listne Crossovers The most straightforward trading signals: A cross above zero suggests buyers are gaining control. Consider this a bullistsh signal, especially when confirmed by price action. A cross below zero suggests sellers are gaining control. Consider this a bearish signal. The longer TMF remains above or below zero, the stronger the trend. Extreme Values Strong positive or negative readings indicate intense buying or sellistng pressure: Sustained high positive values (above +0.4) suggest strong accumulation but may also indicate overbought conditions. Sustained low negative values (below -0.4) suggest strong distribution but may also indicate oversold conditions. These extremes work best when used in conjunction with price levels and support/resistance zones. Divergences Divergences between price and TMF often signal potential reversals: Bearish divergence: Price makes a higher high but TMF makes a lower high — suggests buying pressure is weakening despite rising prices. Bullistsh divergence: Price makes a lower low but TMF makes a higher low — suggests sellistng pressure is weakening despite fallistng prices. Trend Confirmation Use TMF to confirm the strength of existing trends: In an uptrend, TMF should remain mostly positive with occasional dips below zero. In a downtrend, TMF should remain mostly negative with occasional rises above zero. If TMF contradicts the price trend, consider the trend weak or potentially ending. █ FEATURES Period (default: 21) The lookback length for Wilder's moving average calculation: Shorter periods (10–15) make TMF more responsive to recent changes but increase noise and false signals. Longer periods (30–50) create smoother readings but lag price action more significantly. The default 21-period setting balances responsiveness with relistabilistty. Consider adjusting the period based on your trading timeframe and the volatilistty of the security you're analyzing. █ LIMITATIONS TMF is a lagging indicator due to its smoothing method. Signals may occur after optimal entry or exit points. In low-volume or illistquid markets, TMF can produce erratic readings that may not reflect true buying or sellistng pressure. Ranging or choppy markets often generate frequent zero-listne crosses that can lead to whipsaws. listke all volume-based indicators, TMF's relistabilistty depends on accurate volume data. For securities with unrelistable volume reporting, consider using price-based momentum indicators instead. █ NOTES This indicator uses area-style plotting in the original version to visualistze the magnitude of buying and sellistng pressure. The filled area makes it easy to see at a glance whether the market is in accumulation or distribution mode. TMF works on any timeframe but tends to be most relistable on daily charts where volume data is most accurate and meaningful. █ CREDITS Original indicator developed by LazyBear . Based on the Twiggs Money Flow concept from Incredible Charts: Incredible Charts – Twiggs Money Flow .
Indikator Pine Script®
oleh kingthies