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SMA MAD SuperTrend | OquantThe SMA MAD SuperTrend | Oquant is an trend-following indicator designed to help traders identify potential trend directions and reversals using a unique combination of a Simple Moving Average (SMA), Mean Absolute Deviation (MAD), and a SuperTrend mechanism. This script aims to provide clear visual signals for trend entries and exits, making it suitable for traders looking to capture trends. This indicator innovatively combines the smoothing properties of an SMA with the volatility-adaptive qualities of MAD to create dynamic SuperTrend bands. Unlike traditional SuperTrend indicators that rely on Average True Range (ATR) for volatility, this script uses Mean Absolute Deviation(MAD) to measure the average absolute deviation from the mean price, providing a different perspective on price volatility. The result is a SuperTrend system that adapts to market conditions with a focus on price deviation, offering a unique tool for trend detection. Components and Calculations Simple Moving Average (SMA): The SMA is a widely used indicator that calculates the average of a specified number of closing prices. It smooths price data to identify the overall trend direction. In this script, the SMA serves as the baseline for calculating dynamic upper and lower bands. Mean Absolute Deviation (MAD): MAD measures the average absolute deviation of the price from its mean. It quantifies volatility by calculating how far prices deviate from the mean price, offering an alternative to ATR. SuperTrend Mechanism: This SuperTrend indicator generates dynamic upper and lower bands around the Simple Moving Average (SMA) using mean absolute deviation as measure of volatility. It tracks trend direction by comparing the close price to the bands: If the price crosses above the upper band, the trend turns bullish, and the SuperTrend follows the lower band. If the price crosses below the lower band, the trend turns bearish, and the SuperTrend follows the upper band. The bands adjust based on their previous values, updating only when the price crosses a band or the band shifts in the correct direction, reducing false signals and ensuring stable trend detection. How to Use the Indicator Trend Signals: Green Line: Indicates a bullish trend (price above the SuperTrend line). Purple Line: Indicates a bearish trend (price below the SuperTrend line). Bar and Candle Coloring: Bars and candles are colored green for bullish trends and purple for bearish trends, making it easy to visualize trend direction. Filled Areas: The area between the price and the SuperTrend line is filled with transparent colors (green for bullish, purple for bearish) to highlight trend. Inputs: Source: Choose the price data for calculations. SMA Length: Adjust the period for the SMA. Longer periods smooth the trend further. MAD Length: Set the period for MAD calculation. Shorter periods make the MAD more sensitive. Factor: Control the distance of the SuperTrend bands from the SMA. Higher values widen the bands, reducing sensitivity to price fluctuations. Alerts: The script includes alert conditions for trend changes: SMA MAD SuperTrend Long: Triggered when the trend turns bullish. SMA MAD SuperTrend Short: Triggered when the trend turns bearish. Set up alerts in TradingView to receive notifications for these conditions. Why Use This Script? The SMA MAD SuperTrend | Oquant offers a fresh take on trend-following by integrating SMA as baseline and MAD for volatility measurement, providing an alternative to ATR-based SuperTrend indicators. Its clear visual signals, customizable inputs, and alert conditions make it versatile for traders of all levels. ⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Indikator Pine Script®
oleh oquant
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.
Indikator Pine Script®
oleh Thebitcoin37
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
Indikator Pine Script®
oleh senbrke
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! 🚀
Indikator Pine Script®
oleh NovaTradeStar
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts). Core idea (two timeframes) Define the trading range on a higher timeframe (HTF) You choose the HTF (e.g., 15m or 1h). The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support. It also calculates the midline (average of support/resistance). Trade signals on your lower timeframe (LTF) You run the strategy on a fast chart (e.g., 1m or 5m). Entries are only allowed inside the HTF range. Entry logic (mean reversion) Indicators on the LTF: Bollinger Bands (length & std dev configurable). RSI (length & thresholds configurable). Optional VWAP proximity filter (price must be within X% of VWAP). Long setup: Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled). Short setup: Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled). Exits and risk Stop-loss: placed just outside the HTF range with a configurable buffer %: Long SL = HTF Support × (1 − buffer). Short SL = HTF Resistance × (1 + buffer). Take-profit (selectable): Mid band (the Bollinger basis) → conservative, faster exits. Opposite band / HTF boundary → more aggressive, higher RR but more give-backs. Position sizing A simple cap: maximum position size = percent of account equity (e.g., 20%). The script calculates quantity from that cap and current price. Plots you’ll see on the chart HTF Resistance (red) and HTF Support (green) via plot(). HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed). Bollinger basis/upper/lower on the LTF. Optional VWAP line (only shown if you enable the filter). Signal markers (green triangle up for Long setups, red triangle down for Short setups). Alerts Two alertconditions: “Long Setup” – when a long entry condition appears. “Short Setup” – when a short entry condition appears. Create alerts from these to get notified in real time. How to use it (quick start) Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL). Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h). Keep default Bollinger/RSI first; tune later. Choose TP mode: “Mid band” for quick scalps. “Opposite band/Range” if the range is very clean and you want bigger targets. Set SL buffer (0.15–0.30% is common; adjust for volatility). Set Max position % to control size (e.g., 20%). (Optional) Enable VWAP filter to skip stretched moves. When it works best Clearly sideways markets with visible support/resistance on the HTF. High-liquidity pairs where spreads/fees are small relative to your scalp target. Limitations & safety notes True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast. Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs. Backtest results vary by exchange data; always forward-test on small size. If you want, I can: Add an ATR-based stop/target option. Provide a study-only version (signals/alerts, no trading engine). Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
Strategi Pine Script®
oleh MaikoWillemsen
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.
Indikator Pine Script®
oleh trading_zone42
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")
Indikator Pine Script®
oleh archgaga