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MAHAR K Stochastic IndicatorWhat It Does %K line calculates fast stochastic of _src over length, then re-smoothed twice: sk (smoothK), %D (smoothD), and slower %F (smoothF). Plots the three lines, draws 80/50/20 bands, and highlights extreme values by drawing red circles when sk hits 100 and green when it hits 0. Notable Details sma_signal chooses the smoothing kernel (SMA, EMA, WMA, DEMA). ma() delegates to the selected function and contains a VWMA branch even though VWMA is not listed in the input options. A custom dema() helper implements the classic double EMA. stOBOS is always true, so the ternary wrappers around the circle plots can be simplified. Risk / Edge Cases If highestHigh == lowestLow (flat price over the window) the %K calculation divides by zero, yielding na. Consider guarding against that or defaulting to previous values. To actually expose VWMA, add it to the input options; otherwise remove the dead code branch. Next Steps Decide whether to safeguard the denominator before plotting. Align the smoothing options with the available choices and prune the redundant conditionals if desired.
Pine Script® indicator
by tradeviewanalysis
pine script tradingbot - many ema oscillator## 🧭 **Many EMA Oscillator (TradingView Pine Script Indicator)** *A multi-layer EMA differential oscillator for trend strength and momentum analysis* --- ### 🧩 **Overview** The **Many EMA Oscillator** is a **TradingView Pine Script indicator** designed to help traders visualize **trend direction**, **momentum strength**, and **multi-timeframe EMA alignment** in one clean oscillator panel. It’s a **custom EMA-based trend indicator** that shows how fast or slow different **Exponential Moving Averages (EMAs)** are expanding or contracting — helping you identify **bullish and bearish momentum shifts** early. This **Pine Script EMA indicator** is especially useful for traders looking to combine multiple **EMA signals** into one **momentum oscillator** for better clarity and precision. --- ### ⚙️ **How It Works** 1. **Multiple EMA Layers:** The indicator calculates seven **EMAs** (default: 20, 50, 100, 150, 200, 300) and applies a **smoothing filter** using another EMA (default smoothing = 20). This removes short-term noise and gives a smoother, professional-grade momentum reading. 2. **EMA Gap Analysis:** The oscillator measures the **difference between consecutive EMAs**, revealing how trend layers are separating or converging. ``` diff1 = EMA(20) - EMA(50) diff2 = EMA(50) - EMA(100) diff3 = EMA(100) - EMA(150) diff4 = EMA(150) - EMA(200) diff5 = EMA(200) - EMA(300) ``` These gaps (or “differentials”) show **trend acceleration or compression**, acting like a **multi-EMA MACD system**. 3. **Color-Coded Visualization:** Each differential (`diff1`–`diff5`) is plotted as a **histogram**: - 🟢 **Green bars** → EMAs expanding → bullish momentum growing - 🔴 **Red bars** → EMAs contracting → bearish momentum or correction This gives a clean, compact view of **trend strength** without cluttering your chart. 4. **Automatic Momentum Signals:** - **🟡 Up Triangle** → All EMA gaps increasing → strong bullish trend alignment - **⚪ Down Triangle** → All EMA gaps decreasing → trend weakening or bearish transition --- ### 📊 **Inputs** | Input | Default | Description | |-------|----------|-------------| | `smmoth_emas` | 20 | Smoothing factor for all EMAs | | `Length2`–`Length7` | 20–300 | Adjustable EMA periods | | `Length21`, `Length31`, `Length41`, `Length51` | Optional | For secondary EMA analysis | --- ### 🧠 **Interpretation Guide** | Observation | Meaning | |--------------|----------| | Increasing green bars | Trend acceleration and bullish continuation | | Decreasing red bars | Trend exhaustion or sideways consolidation | | Yellow triangles | All EMA layers aligned bullishly | | White triangles | All EMA layers aligned bearishly | This **EMA oscillator for TradingView** simplifies **multi-EMA trading strategies** by showing alignment strength in one place. It works great for **swing traders**, **scalpers**, and **trend-following systems**. --- ### 🧪 **Best Practices for Use** - Works on **all TradingView timeframes** (1m, 5m, 1h, 1D, etc.) - Suitable for **stocks, forex, crypto, and indices** - Combine with **RSI**, **MACD**, or **price action** confirmation - Excellent for detecting **EMA compression zones**, **trend continuation**, or **momentum shifts** - Can be used as part of a **multi-EMA trading strategy** or **trend strength indicator setup** --- ### 💡 **Why It Stands Out** - 100% built in **Pine Script v6** - Optimized for **smooth EMA transitions** - Simple color-coded momentum visualization - Professional-grade **multi-timeframe trend oscillator** This is one of the most **lightweight and powerful EMA oscillators** available for TradingView users who prefer clarity over clutter. --- ### ⚠️ **Disclaimer** This indicator is published for **educational and analytical purposes only**. It does **not provide financial advice**, buy/sell signals, or investment recommendations. Always backtest before live use and trade responsibly. --- ### 👨‍💻 **Author** Developed by **@algo_coders** Built in **Pine Script v6** on **TradingView** Licensed under the (mozilla.org)
Pine Script® indicator
by algo_coders
Liquidity Sweep & Reversal — Body Anchored + Risk (v6)Overview The Liquidity Sweep & Reversal — Locked to Price (v6) indicator identifies liquidity sweeps around major swing highs and lows, confirming reversals when price closes back inside the swept level. All signals are locked to price (bottom of green candle for BUY, top of red candle for SELL), so they remain perfectly aligned when zooming or scaling. This indicator is ideal for swing traders and scalpers who trade reversals, liquidity events, and reclaim structures. How It Works Detects confirmed swing highs and lows using a pivot-based structure. Waits for a liquidity sweep — when price wicks beyond a recent swing. Confirms a reclaim when price closes back inside the previous swing level. Triggers a BUY or SELL signal anchored to the candle body. Automatically calculates stop loss and risk using ATR and your inputs. Input Settings Swing Detection Swing Detection Strength: How many bars confirm a swing pivot. Higher = stronger swings. Bars to Confirm Reclaim: Number of bars after a sweep for price to close back within the swing zone. Swing Proximity %: How close price must come to a swing to count as a liquidity sweep. Trend Filter (optional) Use EMA Trend Filter: When enabled, only BUY in uptrend and SELL in downtrend. Fast EMA Length / Slow EMA Length: Define EMAs used to detect trend direction. Risk & Stop Management ATR Length: Period for ATR calculation (volatility measurement). Base ATR Stop Buffer (x ATR): Distance of stop loss from entry based on ATR multiplier. Position Size (quote units): Your total position size in quote currency (e.g., USDT). Risk % of (Position / 20): Defines how much of your position to risk per trade. Example: (Position / 20) × Risk % = per-trade risk. Chart Elements BUY Arrow (green): Appears after a liquidity sweep and reclaim near a swing low. SELL Arrow (red): Appears after a sweep and reclaim near a swing high. Labels: Display entry price, stop loss (SL), and calculated risk dollar value. EMAs: Optional fast/slow moving averages for directional bias. Dynamic Stops: Adjust automatically using ATR × risk settings. Trading Tips Use BUY signals near liquidity sweeps under swing lows. Use SELL signals near liquidity sweeps above swing highs. Adjust swing length for different timeframes: Lower values for scalping (3–5) Higher values for swing trading (7–10) Respect stop loss levels and use risk control settings for consistent sizing. Combine with volume, OBV, or structure for confirmation. Alerts BUY — Locked to Price: "BUY: swing low reclaimed with dynamic stop." SELL — Locked to Price: "SELL: swing high reclaimed with dynamic stop." Best Use Cases Liquidity-based reversals Swing entry confirmation Stop hunt reclaims Structure-based entries Author Created by @roccodallas For traders who value clean structure, risk control, and chart precision.
Pine Script® indicator
by roccodallas
Saty Pivot Ribbon Pro// Saty Pivot Ribbo Pro // Copyright (C) 2022-2025 Saty Mahajan // // A Moving Average Ribbon system that simplifies measuring and using Moving Averages for trend and support/resistance. // Special thanks to Ripster for his education and EMA Clouds which inspired this indicator. //@version=5 indicator('Saty Pivot Ribbon Pro', 'Saty Pivot Ribbon Pro', overlay=true) // Saty Color Theme saty_green = color.rgb(0, 255, 30) saty_blue = color.rgb(0, 185, 255) saty_red = color.rgb(255, 0, 0) saty_orange = color.rgb(255, 150, 0) saty_yellow = color.rgb(255,255,0) saty_violet = color.rgb(150, 100, 255) saty_purple = color.rgb(150, 0, 150) saty_pink = color.rgb(255, 0, 255) saty_white = color.rgb(255, 255, 255) saty_light_gray = color.rgb(200,200,200) saty_gray = color.rgb(150,150,150) saty_dark_gray = color.rgb(100,100,100) saty_black = color.rgb(0, 0, 0) // Settings time_warp = input.string("off", 'Time Warp', options= ) fast_ema = input(title='Fast EMA Length', defval=8) show_fast_ema_highlight = input(false, 'Show Fast EMA Highlight') fast_ema_highlight_color = input(saty_white, 'Fast EMA Highlight Color') show_pullback_overlap = input(true, 'Show Pullback Overlap') pullback_overlap_ema = input(title='Pullback Overlap EMA Length',defval=13) show_pullback_overlap_ema_highlight = input(false, 'Show Pullback EMA Highlight') pullback_overlap_ema_highlight_color = input(saty_white, 'Pullback EMA Highlight Color') pivot_ema = input(title='Pivot EMA Length', defval=21) show_pivot_ema_highlight = input(true, 'Show Pivot EMA Highlight') pivot_ema_highlight_color = input(saty_white, 'Pivot EMA Highlight Color') show_pivot_bias = input(true, 'Show Pivot Bias') pivot_bias_ema = input(title = 'Pivot Bias EMA Length', defval=8) slow_ema = input(title='Slow EMA Length', defval=48) show_slow_ema_highlight = input(false, 'Show Slow EMA Highlight') slow_ema_highlight_color = input(saty_white, 'Slow EMA Highlight Color') show_long_term_ema = input(true, 'Show Long-Term EMA') long_term_ema = input(title='Long-term EMA Length', defval=200) show_long_term_bias = input(true, 'Show Long-term Bias') long_term_bias_ema = input(title = 'Long-term Bias EMA Length', defval=21) show_candle_bias = input(true, "Show Candle Bias") bias_ema = input(48, 'Bias EMA') show_candle_bias_compression_candles = input(false, "Show Candle Bias Compression Candles") bullish_fast_cloud_color = input(color.green, 'Bullish Fast Cloud Color') bearish_fast_cloud_color = input(color.red, 'Bearish Fast Cloud Color') bullish_slow_cloud_color = input(color.aqua, 'Bullish Slow Cloud Color') bearish_slow_cloud_color = input(color.orange, 'Bearish Slow Cloud Color') cloud_transparency = input(title='Cloud Transparency (0-100)', defval=60) show_conviction_arrows = input(true, 'Show Conviction Arrows') bullish_conviction_color = input(saty_blue, 'Bullish Conviction Arrow Color') bearish_conviction_color = input(saty_orange, 'Bearish Conviction Arrow Color') show_fast_conviction_ema = input(false, 'Show Fast Conviction EMA') fast_conviction_ema = input(13, 'Fast Conviction EMA Length') fast_conviction_ema_color = input(saty_light_gray, 'Fast Conviction EMA Color') show_slow_conviction_ema = input(false, 'Show Slow Conviction EMA') slow_conviction_ema = input(48, 'Slow Conviction EMA Length') slow_conviction_ema_color = input(saty_purple, 'Slow Conviction EMA Color') // Time Warp timeframe // Set the appropriate timeframe based on trading mode timeframe_func() => timeframe = timeframe.period if time_warp == 'off' timeframe := timeframe.period else if time_warp == '1m' timeframe := '1' else if time_warp == '2m' timeframe := '2' else if time_warp == '3m' timeframe := '3' else if time_warp == '4m' timeframe := '4' else if time_warp == '5m' timeframe := '5' else if time_warp == '10m' timeframe := '10' else if time_warp == '15m' timeframe := '15' else if time_warp == '20m' timeframe := '20' else if time_warp == '30m' timeframe := '30' else if time_warp == '1h' timeframe := '60' else if time_warp == '2h' timeframe := '120' else if time_warp == '4h' timeframe := '240' else if time_warp == 'D' timeframe := 'D' else if time_warp == 'W' timeframe := 'W' else if time_warp == 'M' timeframe := 'M' else if time_warp == 'Y' timeframe := '12M' else timeframe := timeframe.period // Calculations ticker = ticker.new(syminfo.prefix, syminfo.ticker, session=session.extended) price = request.security(ticker, timeframe_func(), close, gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_on) fast_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, fast_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) pullback_overlap_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, pullback_overlap_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) pivot_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, pivot_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) pivot_bias_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, pivot_bias_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) slow_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, slow_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) long_term_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, long_term_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) long_term_bias_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, long_term_bias_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) fast_conviction_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, fast_conviction_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) slow_conviction_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, slow_conviction_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) // Create plots fast_ema_plot = plot(fast_ema_value, color=show_fast_ema_highlight ? fast_ema_highlight_color : na, title='Fast EMA') pullback_overlap_ema_plot = plot(pullback_overlap_ema_value, color=(show_pullback_overlap_ema_highlight and show_pullback_overlap) ? pullback_overlap_ema_highlight_color : na, title='Pullback Overlap EMA') pivot_ema_bias_color = show_pivot_bias ? (pivot_bias_ema_value >= pivot_ema_value ? saty_green : saty_red) : pivot_ema_highlight_color pivot_ema_plot = plot(pivot_ema_value, color=show_pivot_ema_highlight ? pivot_ema_bias_color : na, title='Pivot EMA') slow_ema_plot = plot(slow_ema_value, color=show_slow_ema_highlight ? slow_ema_highlight_color : na, title='Slow EMA') long_term_ema_bias_color = show_long_term_bias ? (long_term_bias_ema_value >= long_term_ema_value ? saty_blue : saty_orange) : saty_white long_term_ema_plot = plot(long_term_ema_value, color=show_long_term_ema ? long_term_ema_bias_color : na, title='Long-term EMA') // Fill in the plots to create clouds fast_cloud_color = fast_ema_value >= pivot_ema_value ? color.new(bullish_fast_cloud_color, cloud_transparency) : color.new(bearish_fast_cloud_color, cloud_transparency) fill(fast_ema_plot, pivot_ema_plot, color=fast_cloud_color, title='Fast Cloud', transp=90) pullback_overlap_cloud_color = pullback_overlap_ema_value >= slow_ema_value ? color.new(bullish_slow_cloud_color, cloud_transparency) : color.new(bearish_slow_cloud_color, cloud_transparency) fill(pullback_overlap_ema_plot, slow_ema_plot, color=show_pullback_overlap ? pullback_overlap_cloud_color : na, title='Slow Cloud', transp=90) slow_cloud_color = pivot_ema_value >= slow_ema_value ? color.new(bullish_slow_cloud_color, cloud_transparency) : color.new(bearish_slow_cloud_color, cloud_transparency) fill(pivot_ema_plot, slow_ema_plot, color=show_pullback_overlap ? na : slow_cloud_color, title="Slow Cloud Overlapped", transp=90) // Conviction Arrows (default based on 13/48) bullish_conviction = fast_conviction_ema_value >= slow_conviction_ema_value bearish_conviction = fast_conviction_ema_value < slow_conviction_ema_value bullish_conviction_confirmed = bullish_conviction == true and bullish_conviction == false bearish_conviction_confirmed = bearish_conviction == true and bearish_conviction == false plotshape(bullish_conviction_confirmed and show_conviction_arrows, style=shape.triangleup, color=bullish_conviction_color, location=location.abovebar, size=size.tiny) plotshape(bearish_conviction_confirmed and show_conviction_arrows, style=shape.triangledown, color=bearish_conviction_color, location=location.belowbar, size=size.tiny) fast_conviction_ema_plot = plot(fast_conviction_ema_value, color=show_fast_conviction_ema ? fast_conviction_ema_color : na, title='Fast Conviction EMA') slow_conviction_ema_plot = plot(slow_conviction_ema_value, color=show_slow_conviction_ema ? slow_conviction_ema_color : na, title='Slow Conviction EMA') // # Bollinger Band Compression Signal compression_pivot = ta.ema(close, 21) above_compression_pivot = close >= compression_pivot bband_offset = 2.0 * ta.stdev(close, 21) bband_up = compression_pivot + bband_offset bband_down = compression_pivot - bband_offset compression_threshold_up = compression_pivot + (2.0 * ta.atr(14)) compression_threshold_down = compression_pivot - (2.0 * ta.atr(14)) expansion_threshold_up = compression_pivot + (1.854 * ta.atr(14)) expansion_threshold_down = compression_pivot - (1.854 * ta.atr(14)) compression = above_compression_pivot ? (bband_up - compression_threshold_up) : (compression_threshold_down - bband_down) in_expansion_zone = above_compression_pivot ? (bband_up - expansion_threshold_up) : (expansion_threshold_down - bband_down) expansion = compression <= compression compression_tracker = false if expansion and in_expansion_zone > 0 compression_tracker := false else if compression <= 0 compression_tracker := true else compression_tracker := false // Candle Bias bias_ema_value = request.security(syminfo.tickerid, timeframe_func(), ta.ema(price, bias_ema) , gaps=barmerge.gaps_off, lookahead=barmerge.lookahead_off) above_pivot = close >= bias_ema_value below_pivot = close < bias_ema_value up = open < close doji = open == close down = open > close bias_candle_color = compression_tracker and up and show_candle_bias and show_candle_bias_compression_candles ? saty_violet : compression_tracker and down and show_candle_bias and show_candle_bias_compression_candles ? saty_purple : above_pivot and up and show_candle_bias ? saty_green : below_pivot and up and show_candle_bias ? saty_orange : above_pivot and down and show_candle_bias ? saty_blue : below_pivot and down and show_candle_bias ? saty_red : doji and show_candle_bias ? color.gray : na plotcandle(open,high,low,close,color = bias_candle_color, bordercolor = bias_candle_color, wickcolor = bias_candle_color)
Pine Script® indicator
by big2six32320
McRoulio (Monthly Anchored VWAPs)The McRoulio indicator is designed to provide a clear view of market value relative to the current and previous month's starting points. It must be used on intraday timeframes (like 1H, 4H, 15m) to function correctly. All VWAP calculations use (O+H+L+C)/4 as the price source. Here is what the indicator does: ⚪ Current Month VWAP (Thick White Line) Anchored to the 1st (00:00) of the current month. Includes 1.0 Standard Deviation bands. Displays a "Mcwrap" label. 🔴 Last Month VWAP (Orange Line) Anchored to the 1st (00:00) of the previous month. This line is only visible for the duration of that previous month, allowing for historical reference. ⏳ Previous VWAP Level (Horizontal Orange Line) This line shows the final, settled price of the previous month's VWAP. It is only visible between the 27th of the month and the 3rd of the next month, highlighting a potential support/resistance zone during the "turn of the month." Displays a "Mcwrap Mois dernier" label. Trolled par le gap & le mcwrap 😘
Pine Script® indicator
by cryptofamfr
ATR Money Line Bands V2The "ATR Money Line Bands V2" is a clever TradingView overlay designed for trend identification with volatility-aware bands, evolving from basic ATR envelopes. Reasoning Behind Construction: The core idea is to blend a smoothed trend line with dynamic volatility bands for reliable signals in varying markets. The "Money Line" uses linear regression (ta.linreg) on closes over a length (default 16) instead of a moving average, as it fits data via least-squares for a cleaner, forward-projected trend without lag artifacts. ATR (default 12-period) powers the bands because it measures true range volatility better than std dev in gappy assets like crypto/stocks—bands offset from the Money Line by ATR * multiplier (default 1.5). A dynamic multiplier (boosts by ~33% on spikes > prior ATR * 1.3) prevents tight bands from false breakouts during surges. Trend detection checks slope against an ATR-scaled tolerance (default 0.15) to ignore noise, labeling bull/bear/neutral—avoiding whipsaws in flats. Properties: It's an overlay with a colored Money Line (green bull, red bear, yellow neutral) and invisible bands (toggle to show gray lines) filled semi-transparently matching trend for visual pop. Dynamic adaptation makes bands widen/contract intelligently. An info table (positionable, e.g., top_right) displays real-time values: Money Line, bands, ATR, trend—great for quick scans. Limits history (2000 bars) and labels (500) for efficiency. Tips for Usage: Apply to any timeframe/asset; defaults suit medium-term (e.g., daily stocks). Watch color flips: green for longs (enter on pullbacks to lower band), red for shorts (vice versa), yellow to sit out. Use bands as S/R—breakouts signal momentum, squeezes impending vol. Tweak length for sensitivity (shorter for intraday), multiplier for width (higher for trends), tolerance for fewer neutrals. Pair with volume/RSI for confirmation; backtest to optimize. In choppy markets, disable dynamic mult to avoid over-expansion. Overall, it's adaptive and visual—helps trend-follow without overcomplicating.
Pine Script® indicator
by ralis24
Aquantprice: Institutional Structure Matrix Why This is the Final Dashboard You’ll Ever Need: Multi-Timeframe Trend Validators (1min to Monthly): 15 buy / 13 sell conditions using CPR pivots, weighted closes, and Camarilla logic — signals "BUY"/"SELL" only when threshold met. Dip Buying & Sell Validators (Daily/Weekly/Monthly): 15-condition engine with ✔/✖ breakdown for long-term swing precision. Two-Day Pivot Dashboard: Tracks CPR, POC, VAH/VAL, H3/L3 + exclusive two-day value shift ("Higher/Lower/Unchanged Value") — Pivot Boss on steroids. Mind Over Markets Bias Engine: Detects "Initiative Buy/Sell," "Neutral," or "Rising Pivot, Weak Open" using rolling POC and neutral zone — pure institutional psychology. Wick Reversal & Pattern Detection: Identifies Bull/Bear Wicks, Dojis, Outside Bars, and Extreme candles near pivot touches. Risk-Reward & Target Projection: Auto-calculates RR ratios (min 2.0), next pivot targets, and entry zones (S1, R1, POC, etc.). Quant Bias Summary: Weighted multi-TF aggregation delivers final verdict: Strong Buy → Buy → Neutral → Sell → Strong Sell. Customizable Everything: Thresholds, timeframes, decimals, font size, table positions, novice mode — built for your style.
Pine Script® indicator
by Nmn0708
Trendline Breakout Strategy Strategy should place entries & exits so that it can be backtested (use strategy.entry and strategy.exit with explicit stop and limit prices). Include an option for fixed percent position sizing and an option for fixed contract size. Draw the trendline on the chart (with option to hide/show) and add labels that show: bias (Bull/Bear), trendline slope, entry price, SL, TP and the reason (e.g., "Trendline Breakout"). Provide user inputs for: EMA length (default 200), lookback for pivot detection, pivot sensitivity (left/right bars), quantity mode (percent / contracts), risk percent or fixed size, enable/disable backtest prints, and enable alerts. Avoid repainting: use confirmed pivot logic (pivot detection must use completed bars) and only take entry after breakout confirmed on close. Document any limitations (for example, trendline using two highest/highest bars inside lookback is approximate). Add clear comments, helpful variable names, and include example alertcondition lines for entry and exit signals.
Pine Script® strategy
by chandolaamit
Z-Score Bands + SignalsZ-Score Statistical Market Analyzer A multi-dimensional market structure indicator based on standardized deviation & regime logic English Description Concept This indicator builds a statistical model of price behaviour by converting every candle’s movement into a Z-score — how many standard deviations each close is away from its moving average. It visualizes the normal distribution structure of returns and provides adaptive entry signals for both Mean Reversion and Breakout regimes. Rather than predicting price direction, it measures statistical displacement from equilibrium and dynamically adjusts the decision logic according to the market’s volatility regime. ⚙️ Main Components Z-Score Bands (±1σ, ±2σ, ±3σ) – The core structure visualizes volatility boundaries based on rolling mean and standard deviation. – Price outside ±2σ often indicates statistical extremes. Dual Signal Systems Mean Reversion (MRL / MRS): when price (or return z-score) crosses back inside ±2σ bands. Breakout (BOL / BOS): when price continues to expand beyond ±2σ. Volatility Regime Classification The indicator detects whether the market is currently in a low-vol or high-vol regime using percentile statistics of σ. Low vol → Mean Reversion preferred High vol → Breakout preferred 🧠 Adaptive Switches A. Freeze MA/σ - Use previous-bar stats to avoid repainting and lag. B. Confirm on Close - Only generate signals once the base-timeframe bar closes (eliminates look-ahead bias). C. Return-based Signal - Use log-return Z-score instead of price deviation — normalizes volatility across assets. D. Outlier Filter - Exclude bars with abnormal single-bar returns (e.g., >20%). Reduces false spikes. E. Regime Gating - Automatically switch between Mean Reversion and Breakout logic depending on volatility percentile. Each module can be toggled individually to test different statistical behaviours or tailor to a specific market condition. 📊 Interpretation When the histogram of returns approximates a normal distribution, mean-reversion logic is often more effective. When price persistently drifts beyond ±2σ or ±3σ, the distribution becomes leptokurtic (fat-tailed) — a breakout structure dominates. Hence, this tool can help you: Identify whether an asset behaves more “Gaussian” or “fat-tailed”; Select the correct trading regime (MR or BO); Quantitatively measure market tension and volatility clusters. 🧩 Recommended Use Works on any timeframe and any asset. Best used on liquid instruments (e.g., XAU/USD, indices, major FX pairs). Combine with volume, sentiment or structural filters to confirm signals. For strategy automation, pair with the companion script: 🧠 “Z-Score Strategy • Multi-Source Confirm (MRL/MRS/BOL/BOS)”. ⚠️ Disclaimer This script is designed for educational and research purposes. Statistical deviation ≠ directional prediction — use with sound risk management. Past distribution patterns may shift under new volatility regimes. ================================================================================== 中文说明（简体） 概念简介 该指标基于价格的统计分布原理，将每根 K 线的波动转化为标准化的 Z-Score（标准差偏离值），用于刻画市场处于均衡或偏离状态。 它同时支持 均值回归（Mean Reversion） 与 突破延展（Breakout） 两种逻辑，并可根据市场波动结构自动切换策略模式。 ⚙️ 主要功能模块 Z-Score 通道（±1σ / ±2σ / ±3σ） 用滚动均值与标准差动态绘制的统计波动带，价格超出 ±2σ 区域通常意味着极端偏离。 双信号系统 MRL / MRS（均值回归多空）：价格重新回到 ±2σ 以内时触发。 BOL / BOS（突破延展多空）：价格持续运行在 ±2σ 之外时触发。 波动率分层 自动识别市场处于高波动还是低波动区间： 低波动期 → 适合均值回归逻辑； 高波动期 → 适合突破趋势逻辑。 🧠 A–E 模块说明 A. 固定统计参数：使用上一根 K 线的均值和标准差，防止重绘。 B. 收盘确认信号：仅在当前时间框架收盘后生成信号，避免前视偏差。 C. 收益率信号模式：采用对数收益率的 Z-Score，更具普适性。 D. 异常波过滤：忽略单根极端波动（如 >20%）的噪声信号。 E. 波动率调节逻辑：根据市场处于高/低波动区间，自动切换 MRL/MRS 或 BOL/BOS。 📊 应用解读 如果收益率分布接近正态分布 → 市场倾向震荡，MRL/MRS 效果较佳； 若价格频繁偏离 ±2σ 或 ±3σ → 市场呈现“肥尾”分布，趋势延展占主导。 因此，该指标的核心目标是： 识别当前市场的统计结构类型； 根据波动特征自动切换交易逻辑； 提供结构化、可量化的市场状态刻画。 💡 使用建议 适用于所有时间框架与金融品种。 建议结合成交量或结构性指标过滤。 若用于策略回测，可搭配同名 “Z-Score Strategy • Multi-Source Confirm” 策略脚本。 ⚠️ 免责声明 本指标仅用于研究与教学，不构成任何投资建议。 统计偏离 ≠ 趋势预测，实际市场行为可能在不同波动结构下改变。
Pine Script® indicator
by Xavante
Reverse RSI LevelsSimple reverse RSI calculation As default RSI values 30-50-70 are calculated into price. This can be used similar to a bollinger band, but has also multiple other uses. 70 RSI works as overbought/resistance level. 50 RSI works as both support and resistance depending on the trend. 30 RSI works as oversold/support level. Keep in mind that RSI levels can go extreme, specially in Crypto. I haven't made it possible to adjust the default levels, but I've added 4 more calculations where you can plot reverse RSI calculations of your desired RSI values. If you're a RSI geek, you probably use RSI quite often to see how high/low the RSI might go before finding a new support or resistance level. Now you can just put the RSI level into on of the 4 slots in the settings and see where that support/resistance level might be on the chart.
Pine Script® indicator
by GizmoTheInvestor