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Moon Scalper v3 + VSAMoon Scalper v3 is a high-precision scalping indicator optimized for the 15-minute chart. It delivers clean buy/sell signals with TP1 (1:1 risk-reward) exits using layered confirmations: • **Volatility Bands** — SMA + multiplier detect expansion zones • **EMA Filter (200)** — ensures trades align with trend • **RSI Range Filter** — avoids extreme overbought/oversold traps (buy: 52–62, sell: 38–48) • **Volume Spike Filter** — filters for institutional activity (vol > 1.4×SMA) • **VSA Confirmation** — requires wide-spread, high-volume bars with reclaim (volume × 1.4, spread × 1.5, reclaim 50%) **Usage Notes:** Best used on 15m timeframe for liquid pairs (e.g., BTCUSDT, ETHUSDT). Signals appear as “BUY” / “SELL” labels on chart. Defaults yield high TP1 hit rate; use only during active sessions (e.g., London/NY) for best accuracy. **Disclaimer:** This indicator is for educational purposes only. Past performance is not a guarantee of future results. Always backtest before live trading and manage risk responsibly.
Pine Script® göstergesi
Thebitcoin37 tarafından
Block-Based Trend Breakout (YTK/DTK) – v1📌 Overview Block Trend Breakout (YTK/DTK) is a lightweight, rule-based indicator that detects potential trend reversals or volatility bursts by tracking breakouts of key structural support/resistance levels — derived from block-wise trend patterns. The logic is simple yet effective: if a trend has been confirmed across multiple blocks (custom-length bar groups), and the price breaks its own structural boundary, a potential reversal or volatility signal is triggered. 🟥 YTK (Uptrend Breakdown) → Price breaks below the lowest low of the most recent block in an uptrend. 🟩 DTK (Downtrend Breakout) → Price breaks above the highest high of the most recent block in a downtrend. 🔍 How It Works Block Construction: User-defined bar groups (e.g., 6 bars on a 4H chart = 24H blocks). Trend Validation: At least N consecutive blocks must show higher highs/lows (uptrend) or lower highs/lows (downtrend). Breakout Test: If the current bar violates the structural limit (MR block high/low), the corresponding signal is plotted. 📉 This logic identifies weakening trends or failed momentum, often preceding reversals or volatility expansions. ⚙️ Features Adjustable block size and trend confirmation count Option to use only closed bars (to reduce repaint risk) Inclusive mode for “<= / >=” logic Visual signals: MR Block high/low levels Trend-colored bars Arrows for YTK (🔻) and DTK (🔺) Built-in alerts for automated strategies 🎯 Use Cases Spotting fakeouts and false breakouts Identifying trend exhaustion before reversal Confirming structural support/resistance breaks Visual tool for discretionary traders Signal generator for automated systems 💬 Feedback & Contributions This script is open-source and community-driven. We actively welcome feedback, ideas, improvements, forks, and questions. 📩 Contact for collaboration or discussion: 📧 senbrke@gmail.com
Pine Script® göstergesi
senbrke tarafından
FVG SuiteSupercharge your charts with FVG Suite! Detect Smart Money structures, Fair Value Gaps, and key Multi-Timeframe levels—all in one powerful indicator. Perfect for both intraday and swing traders. ⚡ Highlights: 📈 Smart Money Structure: BoS & CHoCH signals with customizable colors and sensitivity. 💎 Fair Value Gaps: Bullish & Bearish FVGs with filters, max extension, and automatic cleanup. 🕒 Multi-Timeframe Levels: Daily, Weekly, and Monthly Highs & Lows with solid/dashed/dotted lines. 📊 Volume Activity: Real-time 4H & 24H volume analysis in a neat table. 🎨 Fully Customizable: Colors, transparency, and labels for a clean, easy-to-read chart. Make smarter trade decisions with clear market structure insights and gap detection! 🚀
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NovaTradeStar tarafından
Volume Heat ZoneVolume Zones Indicator This Pine Script creates a volume-based zone analysis tool for TradingView. Function: Divides the price range (high to low) into 20 levels over a 100-candle lookback period Measures volume activity at each price level Draws boxes at levels with above-average volume (1.5x threshold) Key Settings: Lookback Period (100): Number of candles analyzed Price Levels (20): Price range subdivisions Volume Threshold (1.5): Minimum volume multiplier for zones Candle Offset (1): Excludes current candle from analysis Projection Bars (10): Extends boxes 10 bars into the future How it works: The indicator identifies price levels where significant trading volume occurred historically, highlighting potential support/resistance zones. Boxes are redrawn on each confirmed candle, showing dynamic volume concentration areas that traders can use for entry/exit decisions.
Pine Script® göstergesi
trading_zone42 tarafından
Fisher (zero-color + simple OB assist)//@version=5 indicator("Fisher (zero-color + simple OB assist)", overlay=false) // Inputs length = input.int(10, "Fisher Period", minval=1) pivotLen = input.int(3, "Structure pivot length (SMC-lite)", minval=1) showZero = input.bool(true, "Show Zero Line") colPos = input.color(color.lime, "Color Above 0 (fallback)") colNeg = input.color(color.red, "Color Below 0 (fallback)") useOB = input.bool(true, "Color by OB proximity (Demand below = green, Supply above = red)") showOBMarks = input.bool(true, "Show OB markers") // Fisher (MT4-style port) price = (high + low) / 2.0 hh = ta.highest(high, length) ll = ta.lowest(low, length) rng = hh - ll norm = rng != 0 ? (price - ll) / rng : 0.5 var float v = 0.0 var float fish = 0.0 v := 0.33 * 2.0 * (norm - 0.5) + 0.67 * nz(v , 0) v := math.min(math.max(v, -0.999), 0.999) fish := 0.5 * math.log((1 + v) / (1 - v)) + 0.5 * nz(fish , 0) // SMC-lite OB ph = ta.pivothigh(high, pivotLen, pivotLen) pl = ta.pivotlow(low, pivotLen, pivotLen) var float lastSwingHigh = na var float lastSwingLow = na if not na(ph) lastSwingHigh := ph if not na(pl) lastSwingLow := pl bosUp = not na(lastSwingHigh) and close > lastSwingHigh bosDn = not na(lastSwingLow) and close < lastSwingLow bearishBar = close < open bullishBar = close > open demHigh_new = ta.valuewhen(bearishBar, high, 0) demLow_new = ta.valuewhen(bearishBar, low, 0) supHigh_new = ta.valuewhen(bullishBar, high, 0) supLow_new = ta.valuewhen(bullishBar, low, 0) // แยกประกาศตัวแปรทีละตัว และใช้ชนิดให้ชัดเจน var float demHigh = na var float demLow = na var float supHigh = na var float supLow = na var bool demActive = false var bool supActive = false if bosUp and not na(demHigh_new) and not na(demLow_new) demHigh := demHigh_new demLow := demLow_new demActive := true if bosDn and not na(supHigh_new) and not na(supLow_new) supHigh := supHigh_new supLow := supLow_new supActive := true // Mitigation (แตะโซน) if demActive and not na(demHigh) and not na(demLow) if low <= demHigh demActive := false if supActive and not na(supHigh) and not na(supLow) if high >= supLow supActive := false demandBelow = useOB and demActive and not na(demHigh) and demHigh <= close supplyAbove = useOB and supActive and not na(supLow) and supLow >= close colDimUp = color.new(colPos, 40) colDimDown = color.new(colNeg, 40) barColor = demandBelow ? colPos : supplyAbove ? colNeg : fish > 0 ? colDimUp : colDimDown // Plots plot(0, title="Zero", color=showZero ? color.new(color.gray, 70) : color.new(color.gray, 100)) plot(fish, title="Fisher", style=plot.style_columns, color=barColor, linewidth=2) plotchar(showOBMarks and demandBelow ? fish : na, title="Demand below", char="D", location=location.absolute, color=color.teal, size=size.tiny) plotchar(showOBMarks and supplyAbove ? fish : na, title="Supply above", char="S", location=location.absolute, color=color.fuchsia, size=size.tiny) alertcondition(ta.crossover(fish, 0.0), "Fisher Cross Up", "Fisher crosses above 0") alertcondition(ta.crossunder(fish, 0.0), "Fisher Cross Down", "Fisher crosses below 0")
Pine Script® göstergesi
archgaga tarafından
Advanced Pattern Detection System [50+ Patterns]【Advanced Pattern Detection System - Auto-detects 50+ Chart Patterns】 Introducing the most powerful pattern detection indicator for TradingView! ◆ What is this? An automated tool that finds and displays over 50 chart patterns on your charts. It detects all the patterns professional traders use - Double Tops, Triangles, Head & Shoulders, and more - all in ONE indicator. ◆ Main Features ・Detects 50+ patterns in real-time ・Shows visual explanation of WHY each pattern was identified ・Automatically calculates theoretical target prices ・Displays confidence levels in % (60-95%) ・Choose panel position from 9 locations ・Works on all timeframes (1min to Monthly) ◆ Detectable Patterns 1. Classic Patterns (Double Top/Bottom, Head & Shoulders, etc.) 2. Triangle Patterns (Ascending, Descending, Symmetrical, Expanding) 3. Continuation Patterns (Flags, Pennants, Wedges, etc.) 4. Harmonic Patterns (Gartley, Butterfly, Bat, etc.) 5. Price Action (Pin Bar, Engulfing, Hammer, etc.) 6. Special Patterns (Cup & Handle, V-formations, etc.) ◆ What Makes It Different ・Not just detection - shows the reasoning behind it ・Auto-draws pivot points and necklines ・Displays target prices with % gain/loss from current price ・Detects multiple patterns simultaneously, sorted by confidence ・Available in both Japanese and English versions ◆ Perfect For ✓ Anyone tired of using multiple indicators ✓ Beginners wanting to learn pattern trading ✓ Traders who don't want to miss entry points ✓ Those looking to improve discretionary trading accuracy ◆ How to Use (Easy 3 Steps) 1. Open TradingView and paste code in Pine Editor 2. Click "Add to Chart" 3. Enable only the patterns you need in settings ◆ Color Meanings Green → Bullish potential (Buy signal) Red → Bearish potential (Sell signal) Yellow → Neutral direction (Wait and see) ◆ Recommended Settings Scalping: Detection period 20, Sensitivity 0.0025 Day Trading: Detection period 50, Sensitivity 0.002 Swing Trading: Detection period 100, Sensitivity 0.0015 ◆ Real Trading Example "Detects Double Bottom → 85% confidence → Enter on neckline break → Take profit at displayed target price" This is how you can use it in practice. ◆ Important Notes ・This is an analysis tool, not investment advice ・Always combine with other indicators ・Always set stop losses ・Practice on demo account before live trading ◆ Performance If running slow, turn OFF unused pattern categories. Reducing max display count to 3 also helps. ◆ Summary This single tool provides functionality that would normally require multiple paid indicators (worth $100-200 total). It's the ultimate pattern detection system recommended for all traders, from beginners to professionals. Give it a try if interested! Feel free to ask questions in the comments.
Pine Script® göstergesi
Hunk77 tarafından
7
Volatility Forecast/*============================================================================== Volatility Forecast — Publishable Documentation Author: @BB_9791 License: Mozilla Public License 2.0 WHAT THIS INDICATOR SHOWS - A daily volatility estimate in percent points, called sigma_day. - A slow volatility anchor, the 10-year EMA of sigma_day. - A blended volatility series in percent points: sigma_blend = (1 − p) * sigma_day + p * EMA_10y(sigma_day) where p is the Slow weight %, default 30. - Optional annualization by multiplying by 16, this is a daily-to-annual conversion used by Robert Carver in his writings. METHODOLOGY, CREDIT The estimator follows the approach popularized by Robert Carver ("Systematic Trading", "Advanced Futures Trading Strategies", blog qoppac). Current daily volatility is computed as an exponentially weighted standard deviation of daily percent returns, with alpha = 2 / (span + 1). The slow leg is a long EMA of that volatility series, about 10 years. The blend uses fixed weights. This keeps the slow leg meaningful through large price level changes, since the blend is done in percent space first. MATH DETAILS Let r_t be daily percent return: r_t = 100 * (Close_t / Close_{t−1} − 1) EWMA mean and variance: m_t = α * r_t + (1 − α) * m_{t−1} v_t = α * (r_t − m_t)^2 + (1 − α) * v_{t−1} where α = 2 / (span_current + 1) Current daily sigma in percent points: sigma_day = sqrt(v_t) Slow leg: sigma_10y = EMA(sigma_day, span_long) Blend: sigma_blend = (1 − p) * sigma_day + p * sigma_10y Annualized option: sigma_ann = 16 * sigma_blend INPUTS - Threshold (percent points): horizontal guide level on the chart. - Short term span (days): EW stdev span for sigma_day. - Long term span (days): EMA span for the slow leg, choose about 2500 for 10 years. - Slow weight %: p in the blend. - Annualize (x16): plot daily or annualized values. - Show components: toggles Current and 10y EMA lines. - The script uses the chart symbol by default. PLOTS - Blended σ% as the main line. - Optional Current σ% and 10y EMA σ%. - Editable horizontal threshold line in the same units as the plot (percent points per day or per year). - Optional EMA 9 and EMA 20 cloud on the blended series, green for uptrend when EMA 9 is above EMA 20, red otherwise. Opacity is configurable. HOW TO READ - Values are percent points of movement per day when not annualized, for example 1.2 means about 1.2% typical daily move. - With annualize checked, values are percent points per year, for example 18 means about 18% annualized volatility. - Use the threshold and the EMA cloud to mark high or low volatility regimes. NOTES - All calculations use daily data via request.security at the chart symbol. - The blend is done in percent space, then optionally annualized, which avoids bias from the price level. - This script does not produce trading signals by itself, it is a risk and regime indicator. CREDITS Volatility forecasting method and scaling convention credited to Robert Carver. See his books and blog for background and parameter choices. VERSION v1.0 Initial public release. ==============================================================================*/
Pine Script® göstergesi
BB_9791 tarafından
Student Wyckoff RS Symbol/MarketRelative Strength Indicator STUDENT WYCKOFF RS SYMBOL/MARKET Description The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark. Key Features Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage. Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends. Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength. Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period. Applications Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment. Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders. Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument. Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions. Interpretation Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index). Falling RS: Suggests the first instrument is underperforming. SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance. Settings Instrument 2: Ticker of the second instrument (default: QQQ). SMA Period: Period for the Simple Moving Average (default: 14). Notes The indicator works on any timeframe but requires accurate ticker input for the second instrument. Ensure data for both instruments is available on the selected timeframe for precise analysis.
Pine Script® göstergesi
StudentWyckoff tarafından
TMA +BB Bands Indicator//@version=5 indicator(shorttitle="BB", title="Bollinger Bands", overlay=true, timeframe="", timeframe_gaps=true) length = input.int(20, minval=1) maType = input.string("SMA", "Basis MA Type", options = ) src = input(close, title="Source") mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev") ma(source, length, _type) => switch _type "SMA" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) basis = ma(src, length, maType) dev = mult * ta.stdev(src, length) upper = basis + dev lower = basis - dev offset = input.int(0, "Offset", minval = -500, maxval = 500, display = display.data_window) plot(basis, "Basis", color=#2962FF, offset = offset) p1 = plot(upper, "Upper", color=#F23645, offset = offset) p2 = plot(lower, "Lower", color=#089981, offset = offset) fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95))
Pine Script® göstergesi
archgaga tarafından
3
Full Stochastic (TC2000-style EMA 5,3,3)Full Stochastic (TC2000-style EMA 5,3,3) computes a Full Stochastic oscillator matching TC2000’s settings with Average Type = Exponential. Raw %K is calculated over K=5, then smoothed by an EMA with Slowing=3 to form the Full %K, and %D is an EMA of Full %K with D=3. Plots: %K in black, %D in red, with 80/20 overbought/oversold levels in green. This setup emphasizes momentum shifts while applying EMA smoothing at both stages to reduce noise and maintain responsiveness. Inputs are adjustable to suit different symbols and timeframes.
Pine Script® göstergesi
benseezy tarafından
ATR Extension from Moving Average, with Robust Sigma Bands # ATR Extension from Moving Average, with Robust Sigma Bands **What it does** This indicator measures how far price is from a selected moving average, expressed in **ATR multiples**, then overlays **robust sigma bands** around the long run central tendency of that extension. Positive values mean price is extended above the MA, negative values mean price is extended below the MA. The signal adapts to volatility through ATR, which makes comparisons consistent across symbols and regimes. **Why it can help** * Normalizes distance to an MA by ATR, which controls for changing volatility * Uses the **bar’s extreme** against the MA, not just the close, so it captures true stretch * Computes a **median** and **standard deviation** of the extension over a multi-year window, which yields simple, intuitive bands for trend and mean-reversion decisions --- ## Inputs * **MA length**: default 50, options 200, 64, 50, 20, 9, 4, 3 * **MA timeframe**: Daily or Weekly. The MA is computed on the chosen higher timeframe through `request.security`. * **MA type**: EMA or SMA * **Years lookback**: 1 to 10 years, default 5. This sets the sample for the median and sigma calculation, `years * 365` bars. * **Line width**: visual width of the plotted extension series * **Table**: optional on-chart table that displays the current long run **median** and **sigma** of the extension, with selectable text size **Fixed parameters in this release** * **ATR length**: 20 on the daily timeframe * **ATR type**: classic ATR. ADR percent is not enabled in this version. --- ## Plots and colors * **Main plot**: “Extension from 50d EMA” by default. Value is in **ATR multiples**. * **Reference lines**: * `median` line, black dashed * +2σ orange, +3σ red * −2σ blue, −3σ green --- ## How it is calculated 1. **Moving average** on the selected higher timeframe: EMA or SMA of `close`. 2. **Extreme-based distance** from MA, as a percent of price: * If `close > MA`, use `(high − MA) / close * 100` * Else, use `(low − MA) / close * 100` 3. **ATR percent** on the daily timeframe: `ATR(20) / close * 100` 4. **ATR multiples**: extension percent divided by ATR percent 5. **Robust center and spread** over the chosen lookback window: * Center: **median** of the ATR-multiple series * Spread: **standard deviation** of that series * Bands: center ± 1σ, 2σ, 3σ, with 2σ and 3σ drawn This design yields an intuitive unit scale. A value of **+2.0** means price is about 2 ATR above the selected MA by the most stretched side of the current bar. A value of **−3.0** means roughly 3 ATR below. --- ## Practical use * **Trend continuation** * Sustained readings near or above **+1σ** together with a rising MA often signal healthy momentum. * **Mean reversion** * Spikes into **±2σ** or **±3σ** can identify stretched conditions for fade setups in range or late-trend environments. * **Regime awareness** * The **median** moves slowly. When median drifts positive for many months, the market spends more time extended above the MA, which often marks bullish regimes. The opposite applies in bearish regimes. **Notes** * The MA can be set to Weekly while ATR remains Daily. This is deliberate, it keeps the normalization stable for most symbols. * On very short intraday charts, the extension remains meaningful since it references the session’s extreme against a higher-timeframe MA and a daily ATR. * Symbols with short histories may not fill the lookback window. Bands will adapt as data accrues. --- ## Table overlay Enable **Table → Show** to see: * “ATR from \” * Current **median** and **sigma** of the extension series for your lookback --- ## Recommended settings * **Swing equities**: 50 EMA on Daily, 5 to 7 years * **Index trend work**: 200 EMA on Daily, 10 years * **Position trading**: 20 or 50 EMA on Weekly MA, 5 to 10 years --- ## Interpretation examples * Reading **+2.7** with price above a rising 50 EMA, near prior highs * Strong trend extension, consider pyramiding in trend systems or waiting for a pullback if you are a mean-reverter. * Reading **−2.2** into multi-month support with flattening MA * Stretch to the downside that often mean-reverts, size entries based on your system rules. --- ## Credits The concept of measuring stretch from a moving average in ATR units has a rich community history. This implementation and its presentation draw on ideas popularized by **Jeff Sun**, **SugarTrader**, and **Steve D Jacobs**. Thanks to each for their contributions to ATR-based extension thinking. --- ## License This script and description are distributed under **MPL-2.0**, consistent with the header in the source code. --- ## Changelog * **v1.0**: Initial public release. Daily ATR normalization, EMA or SMA on D or W timeframe, robust median and sigma bands, optional table. --- ## Disclaimer This tool is for educational use only. It is not financial advice. Always test on your own data and strategies, then manage risk accordingly.
Pine Script® göstergesi
BB_9791 tarafından