Range Oscillator (Zeiierman)█  Overview 
 Range Oscillator (Zeiierman)  is a dynamic market oscillator designed to visualize how far the price is trading relative to its equilibrium range. Instead of relying on traditional overbought/oversold thresholds, it uses adaptive range detection and heatmap coloring to reveal where price is trading within a volatility-adjusted band.
The oscillator maps market movement as a heat zone, highlighting when the price approaches the upper or lower range boundaries and signaling potential breakout or mean-reversion conditions.
   
 Highlights 
 
 Adaptive range detection based on ATR and weighted price movement.
 Heatmap-driven coloring that visualizes volatility pressure and directional bias.
 Clear transition zones for detecting trend shifts and equilibrium points.
 
█  How It Works 
 ⚪  Range Detection 
The indicator identifies a dynamic price range using two main parameters:
 
 Minimum Range Length:  The number of bars required to confirm that a valid range exists.
 Range Width Multiplier:  Expands or contracts the detected range proportionally to the ATR (Average True Range).
 
This approach ensures that the oscillator automatically adapts to both trending and ranging markets without manual recalibration.
⚪  Weighted Mean Calculation 
Instead of a simple moving average, the script calculates a weighted equilibrium mean based on the size of consecutive candle movements:
 
 Larger price changes are given greater weight, emphasizing recent volatility.
 
⚪  Oscillator Formula 
Once the range and equilibrium mean are defined, the oscillator computes:
 Osc = 100 * (Close - Mean) / RangeATR 
This normalizes price distance relative to the dynamic range size — producing consistent readings across volatile and quiet periods.
 
█  Heatmap Logic 
The Range Oscillator includes a built-in heatmap engine that color-codes each oscillator value based on recent price interaction intensity:
 
 Strong Bullish Zones:  Bright green — price faces little resistance upward.
 Weak Bullish Zones:  Muted green — uptrend continuation but with minor hesitation.
 Transition Zones:  Blue — areas of uncertainty or trend shift.
 Weak Bearish Zones:  Maroon — downtrend pressure but soft momentum.
 Strong Bearish Zones:  Bright red — strong downside continuation with low resistance.
 
 Each color band adapts dynamically using: 
 
 Number of Heat Levels:  Controls granularity of the heatmap.
 Minimum Touches per Level:  Defines how reactive or “sensitive” each color zone is.
 
█  How to Use 
⚪  Trend & Momentum Confirmation 
When the oscillator stays above +0 with green coloring, it suggests sustained bullish pressure.
   
Similarly, readings below –0 with red coloring, it suggests sustained bearish pressure.
   
⚪  Range Breakouts 
When the oscillator line breaks above +100 or below –100, the price is exceeding its normal volatility range, often signaling breakout potential or exhaustion extremes.
  
⚪  Mean Reversion Trades 
Look for the oscillator to cross back toward zero after reaching an extreme. These transitions (often marked by blue tones) can identify early reversals or range resets.
   
⚪  Divergence 
Use oscillator peaks and troughs relative to price action to spot hidden strength or weakness before the next move.
  
█  Settings 
 
 Minimum Range Length:  Number of bars needed to confirm a valid range.
 Range Width Multiplier:  Expands or contracts range width based on ATR.
 Number of Heat Levels:  Number of gradient bands used in the oscillator.
 Minimum Touches per Level:  Sensitivity threshold for when a zone becomes “hot.”
 
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
M-oscillator
RSI Breakout Zones█ OVERVIEW
“RSI Breakout Zones” is a technical analysis tool that identifies significant zones on the chart based on the Relative Strength Index (RSI). The indicator maps overbought (OB) and oversold (OS) zones using boxes, then extends them until the next zone of the same type is detected, highlighting breakout points to aid in trade entry decisions. These zones often serve as areas of consolidation, support, or resistance.
█ CONCEPTS
The indicator identifies overbought (above 70) and oversold (below 30) zones, drawing boxes that extend until the next zone of the same type (OB for OB, OS for OS) is detected. Breakout signals are generated when the price crosses the zone boundaries, indicating potential shifts in market momentum.
Why are RSI zones important? These zones represent areas of extreme market sentiment, often leading to corrections or reversals. Overbought zones suggest potential selling pressure, while oversold zones indicate buying opportunities. After a breakout, a zone may switch roles, e.g., from support to resistance or vice versa, making it a key element in price action analysis. Larger zones, formed during high volatility, may attract price for retests due to stronger imbalances in buyer/seller dynamics. Consolidation often occurs within these zones as the market seeks equilibrium before further moves. However, in strong trends, zones may be decisively broken without immediate pullbacks, and their significance depends on their position relative to key support and resistance levels.
█ FEATURES
- RSI Zone Detection: Calculates RSI with a customizable length (default 14) and identifies overbought/oversold zones based on user-defined levels (default 70/30), drawing boxes that dynamically adjust to price action within the zone.
- Customizable Boxes: Zones extend until the next zone of the same type is detected. The indicator draws zones with adjustable colors for overbought (red) and oversold (green) areas, with options for box and zone transparency.
- Breakout Signals: Generates upward (green triangle) and downward (red triangle) breakout signals when the price crosses the top or bottom of a zone. Signals appear below or above the bar, indicating potential trade entry points.
- Midline: Automatically draws a dashed line at the midpoint of each zone, helping traders assess price behavior within the zone and potential halfway retests.
- Box Management: Option to remove outdated boxes.
- Alerts: Built-in support for alerts on breakout signals, enabling traders to receive notifications for key zone crossings.
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
- RSI Settings: Adjust RSI Length (default 14), Overbought Level (default 70), and Oversold Level (default 30) to tailor zone detection sensitivity—higher lengths smooth signals for longer-term analysis.
- Box Settings: Configure colors and transparency for overbought (red) and oversold (green) zones, including box transparency (default 90) and zone transparency (default 90).
- Signal Settings: Customize breakout signal colors (green for upward, red for downward) and enable/disable keeping boxes after RSI normalization.
Interpreting Signals:
- Upward Breakout Signal: A green triangle below the bar indicates a breakout, suggesting potential bullish momentum and trend continuation or reversal.
- Downward Breakout Signal: A red triangle above the bar indicates a breakout, suggesting potential bearish momentum.
- RSI Zones: If the price re-enters a zone after a breakout, it may signal a false breakout or consolidation; persistent zones can act as future support/resistance levels. Consolidation often occurs within these zones as the market seeks equilibrium.
- Use signals alongside other technical analysis tools for confirmation, such as moving averages (to confirm trend direction), Fibonacci levels (to identify key price zones), or volume indicators (to validate breakout strength). Analyze RSI zones on higher timeframes for stronger signals due to broader market context.
█ APPLICATIONS
- Momentum Trading: Use RSI zones as overbought/oversold filters. In an uptrend, look for buying opportunities on upward breakouts, and in a downtrend, on downward breakouts. Combining with MACD crossovers, Fibonacci levels, or pivot points enhances zone significance.
- Inter-Zone Trading: Utilize breakouts from one RSI zone and hold the position until reaching the next zone, which may act as a target level or reversal point.
█ NOTES
- Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize RSI length and levels for your trading style.
- For best results, use in trending markets where RSI extremes are more predictive; in ranging markets, additional filters are recommended to reduce false signals.
- Always combine with risk management; RSI zones alone do not guarantee reversals, and false breakouts may occur in low-liquidity environments.
TOPIX Relative Strength vs Symbol + Volume Quality (JP)Overview
Relative Strength vs Symbol + Volume Quality (JP) visualizes the relative performance (%) of a stock versus a chosen benchmark (e.g., TOPIX, Nikkei 225, or ETFs) while incorporating volume quality and momentum analysis.
It calculates percentage-point differences between the target and benchmark, smooths them (EMA/SMA), and evaluates whether the strength is supported by quality volume flow.
All data uses confirmed bars only (request.security() with confirmed values) to minimize repainting, and labels are drawn only on confirmed bars.
What It Shows
Relative Performance (%pt): Difference in rate of change between the stock and its benchmark.
Above 0 → outperforming
Below 0 → underperforming
Trend Direction: Short-/mid-term trend from smoothed EMA/SMA.
Volume Quality: Ratio of up-volume to down-volume, scaled from -1 to +1.
Volume Momentum (Z-Score): Measures unusual surges in trading activity.
Strength Detection: Combines price-based strength (relative or z-score) with volume quality and momentum filters.
How to Use
Set your comparison symbol (e.g., TSE:1306, TVC:NI225).
Adjust lookback length and smoothing period/type to fit your analysis window.
Enable “Confirm strength by volume quality” and/or “Use volume Z-score” to filter signals with supportive volume.
Optionally, configure background thresholds to highlight extreme relative strength/weakness.
Use Screener Mode to suppress visual outputs (table/labels) for performance in Pine Screener.
Main Input Groups
Comparison Settings: Benchmark symbol, calculation timeframe.
Period & Smoothing: lookback, smoothLen, and MA type (EMA or SMA).
Price Strength Detection: Enable Z-score mode and adjust zLen / zThresh.
Volume Quality & Momentum: vqThresh (volume quality) and vZth (Z-score threshold).
Display: Toggle histogram tint, background highlight, mini-table, and signal labels.
Background Thresholds: Independent thresholds for histogram/MA lines and colors.
Screener Output: Suppress visuals for screening use.
Output & Coloring
Histogram: Relative performance in %pt. Red = outperforming, Green = underperforming (intensity by magnitude).
White Line (EMA/SMA):
Rising with good volume quality → Red
Rising but poor quality → Yellow
Falling → White
Background: Optional highlight when histogram/MA exceeds user thresholds.
Counters: Hidden plots track how many bars have consecutively exceeded thresholds (usable in screeners).
Alerts
Strength Detection (Price + Volume):
Triggered when price condition (MA > 0 or Z-score > threshold) and volume conditions are met.
Weakness / Loss of Strength:
Triggered on cross-under or when volume conditions fail.
Labels: Optional, shown only on confirmed bars.
Repaint Prevention
All calculations use confirmed bar data only.
Labels appear only when bars close.
On lower timeframes, benchmark update delays may cause minor lag.
Volume quality is derived from up/down bar classification, which can be distorted by gaps or illiquid markets.
Avoid overfitting thresholds — values differ by asset and timeframe.
Practical Applications
Identify outperformance with supportive volume across sectors or themes.
Use streak counters to find consistent relative winners or laggards.
Compare stocks vs sector indices or ETFs to track rotation and momentum shifts.
Disclaimer
This script and its description are provided for educational and informational purposes only.
They do not constitute financial advice or recommendations.
Use at your own discretion, considering market risk, liquidity, and data limitations.
This description follows TradingView’s House Rules (no promotion, plagiarism, or misleading claims).
Publication Guidelines
When publishing:
Do not include promotional links or invitations.
Do not copy text/code from other authors without permission.
Screenshots should illustrate the script’s function only, not serve as marketing material.
Maintain consistency of language (English only for this version).
概要
Relative Strength vs Symbol + Volume Quality (JP) は、対象銘柄と比較指標(例:TOPIX)との相対パフォーマンスを%ポイント差で算出し、平滑化線(EMA/SMA)とヒストグラムで可視化します。さらに、出来高を「質(上げ/下げボリュームのバランス)」と「勢い(Zスコア)」で評価し、価格×出来高の両面から“強さ/弱さ”を判定します。
リペイント抑制のため、request.security()は確定足を参照し、ラベル描画も確定時に限定しています。
何がわかるか
相対パフォーマンス(%pt):対象と比較指標の騰落率差。0より上=相対優位、下=相対劣位。
平滑化トレンド:相対の短中期的な傾き(EMA/SMA)。
出来高の質:上昇バー出来高と下降バー出来高の比から -1〜+1 で評価。
出来高の勢い(Zスコア):直近出来高の異常度。
強/弱シグナル:価格条件(基準越え・Z超え)に、出来高条件(質・勢い)を組み合わせて抽出。
使い方(基本手順)
比較対象を「比較シンボル」で指定(例:TSE:1306、TVC:NI225 等)。
「比較期間(バー数)」と「平滑化(期間/種類)」を調整し、相対の視点を合わせる。
出来高確認を使う場合は「出来高の質で“強さ”を確認」「出来高の勢い(Z)」をオンにし、閾値を調整。
背景ハイライトの**閾値(ヒスト/平均線別)**を設定すると、重要局面を一目で把握可能。
スクリーナー利用時は「スクリーナー用」をオンにして、テーブル/ラベルの描画を抑制。
主な入力項目
比較設定:比較シンボル、計算タイムフレーム。
期間・平滑化:比較期間lookback、平滑化長smoothLen、MA種別(EMA/SMA)。
強さ検出(価格):Zスコア方式のオン/オフ、zLen、zThresh。
出来高の質・勢い:質の閾値vqThresh、勢いZの長さvZlenと閾値vZth。
表示:テーブル、背景、ヒスト濃淡、直近ラベルのON/OFF。
背景(閾値):ヒスト/平均線の上下しきいと背景色。
スクリーナー出力:描画抑制トグル。
出力と色分け
ヒストグラム:相対パフォーマンス(%pt)。プラス域は赤系、マイナス域は緑系で濃淡表示。
白線(実体は平滑化相対):上向きかつ出来高質が閾値以上なら赤、上向きでも質不足なら黄、下降時は白。
背景色(任意):設定したヒスト/平均線の閾値を超過/割れで自動着色。
カウンタ:ヒスト/平均線が各閾値を連続超過/連続割れした本数を、スクリーナーが取得できるよう非表示プロットで出力。
シグナル・アラート
強さ検出(価格+出来高):
価格条件 … 平滑化線の0越え、またはZスコアがzThresh越え。
出来高条件 … 「質 ≥ vqThresh」「勢いZ ≥ vZth」(任意)。
条件一致で「強」アラート/喪失・未達で「弱」アラート。
ラベル(任意):確定足でのみ出力。
リペイントと制約
request.security()は確定足データを用い、確定時ラベルのみ描画する設計です。
比較シンボルの更新周期・分足集計差により、短期足ではタイムラグが生じる場合があります。
出来高の「質」は上昇/下降バーの単純仕分けに依存するため、ギャップや出来高の歪みが強い市場では解釈に注意。
閾値は銘柄・期間で最適値が異なります。**過度な最適化(カーブフィット)**は避けてください。
(公開ガイドライン上も、明確で誤解を生む表現の回避が推奨されます。
TradingView
)
活用アイデア(例)
相対優位×出来高質の改善が同時に起きた局面を抽出。
連続超過カウントで、相対の“粘り”や“伸び”をスクリーニング。
指数だけでなく、業種ETFやセクター指数を比較軸にしてローテーション把握。
免責
本スクリプトおよび説明は情報提供・教育目的です。投資助言・勧誘ではありません。市場リスク、流動性、スリッページ、データ仕様に起因する差異等は利用者の自己責任でご確認ください。TradingViewのハウスルール(広告禁止・独自性・言語一致・わかりやすさ)および公開ルールに準拠する形で記述しています。
Trend Following Reflectometry🧭 Trend Following Reflectometry (TFR)
Author: Stef Jonker
Version: Pine Script® v6
The Trend Following Reflectometry (TFR) indicator translates market behavior into the language of impedance and signal reflection theory, providing a unique way to measure trend strength, stability, and purity.
🧩 Summary
Trend Following Reflectometry acts as a trend-quality meter, helping traders identify when a trend is strong, efficient, and worth following — or when the market is too noisy to trust.
It blends physics-inspired logic with practical trading insight, offering both a directional oscillator and a trend stability filter in one tool.
⚙️ Concept
Inspired by electrical impedance matching, this tool compares the market’s characteristic impedance (Z₀) — its natural volatility-to-price behavior — with the load impedance (Zₗ), representing current trend momentum.
The interaction between these two produces a reflection coefficient (Gamma) and a VSWR ratio, which reveal how efficiently market trends are transmitting energy (moving smoothly) versus reflecting noise (becoming unstable).
📊 Core Components
Z₀ (Characteristic Impedance): Market baseline, derived from ATR and SMA.
Zₗ (Load Impedance): Trend momentum based on fast and slow EMAs.
Γ (Gamma – Reflection Coefficient): Measures the mismatch between Z₀ and Zₗ.
VSWR (Voltage Standing Wave Ratio): Quantifies trend purity — lower = cleaner trend.
Impedance Oscillator: Combines momentum and reflection to produce directional bias.
⚡ Gamma & VSWR Interpretation
Gamma (Γ) represents the reflection coefficient — how much of the market’s trend energy is being reflected instead of transmitted.
When Gamma is low, the market trend is smooth and efficient, moving with little resistance.
When Gamma is high, the market becomes unstable or overextended, signaling potential turbulence, exhaustion, or reversal pressure.
VSWR (Voltage Standing Wave Ratio) measures trend purity — how clean or distorted the current trend is.
A low VSWR indicates a well-aligned, steady trend that’s likely to continue smoothly.
A high VSWR suggests an unbalanced or noisy market, where trends may struggle to sustain or could soon reverse.
Together, Gamma and VSWR help identify how well the market’s current momentum aligns with its natural behavior — whether the trend is stable and efficient or reflecting instability beneath the surface.
RVI Divergence Detector with Custom SMA Filter (v6)This script enhances the classic  Relative Vigor Index (RVI) by integrating  divergence detection with a user-configurable SMA filter applied directly to the RVI oscillator. The goal is to help traders identify high-probability reversal and continuation signals by combining momentum analysis with dynamic baseline filtering.
How it works:
- The RVI measures the conviction behind price moves by comparing closing vs. opening prices relative to the high-low range over a 10-period window.
- Divergences are detected when price makes a new high/low but the RVI does not:
  - Regular Bullish: Price makes a lower low, RVI makes a higher low → potential reversal up.
  - Hidden Bullish: Price makes a higher low, RVI makes a lower low → trend continuation.
  - Inverse logic applies for bearish cases.
- A customizable SMA (default: 14 periods) is plotted on the RVI line. This acts as a dynamic reference to assess whether divergences occur in strong momentum zones (far from SMA) or neutral zones (near SMA), helping filter out weaker signals.
- Users can adjust:
  - Pivot lookback range (min/max bars)
  - SMA period (1–200)
  - Visibility of bullish/bearish and hidden/regular divergences
Why this version adds value:
Unlike basic RVI scripts, this adaptation introduces a configurable trend filter (SMA) and clear visual labeling ("D" for regular, "H" for hidden) with colored lines (green/red) connecting oscillator and price pivots—making divergences instantly recognizable. The logic is optimized for both scalping (short SMA) and swing trading (longer SMA).
Credits:
Based on the original RVI divergence concept by madoqa. This is an open-source adaptation under the Mozilla Public License 2.0. No financial advice. Use at your own risk.
Earnings Day - Price Predictor [DunesIsland]It's designed to analyze and visualize historical stock price movements on earnings report days, focusing on percentage changes. 
Here's a breakdown of what it does, step by step: 
 Key Inputs and Setup 
 
 User Input: There's a single input for "Lookback Years" (default: 10), which determines how far back in time (approximately) the indicator analyzes earnings data. It uses a rough calculation of milliseconds in that period to filter historical data.
 Data Fetching: It uses TradingView's request.earnings function to pull actual earnings per share (EPS) data for the current ticker. Earnings days are identified where EPS data exists on a bar but not on the previous one (to avoid duplicates).
 Price Change Calculation: For each detected earnings day, it computes the percentage price movement as (close - close ) / close  * 100, representing the change from the previous close to the current close on that day.
 
 Processing and Calculations (on the Last Bar) 
 
 Lookback Filter: It calculates a cutoff timestamp for the lookback period and processes only earnings events within that window.
 
 Overall Averages: 
 
 Separates positive (≥0%) and negative (<0%) percentage changes.
 
 Seasonality (Next Quarter Prediction): 
 
 Identifies the most recent earnings quarter (latest_q).
 Predicts the "next" quarter (e.g., if latest is Q4, next is Q1; 
 Again, separates positive and negative changes, computing their respective averages.
 
 Visual Outputs 
 
 Lookback:    How far to fetch the data in years. 
 Average Change (Green):    Showing the average of all positive changes. 
 Average Change (Red):    Showing the average of all negative changes. 
 Seasonality Change (Green):    Showing the average of positive changes for the predicted next quarter. 
 Seasonality Change (Red):    Showing the average of negative changes for the predicted next quarter. 
 
 Purpose and Usage 
 This indicator helps traders assess a stock's historical reaction to earnings announcements. The overall averages give a broad sense of typical gains/losses, while the seasonality focuses on quarter-specific trends to "predict" potential movement for the upcoming earnings (based on past same-quarter performance). It's best used on daily charts for stocks with reliable earnings data. Note that quarter inference is calendar-based and may not perfectly match fiscal calendars for all companies—it's an approximation.
RSI Colored by Relative StrengthThis indicator enhances the traditional RSI by combining it with Relative Strength (RS) — the ratio of an asset’s price to a chosen benchmark (e.g., SPY, QQQ, BTCUSD) — to create a more accurate, powerful, and dynamic momentum confirmation tool.
Instead of relying solely on RSI’s internal momentum, this version color-codes RSI values and backgrounds based on whether the asset is outperforming, underperforming, or neutral relative to the benchmark, not only identifying the RSI value, but color codes it in relation to the overall market to give more accurate confirmations.
	•	RS > 1 → The asset is outperforming the benchmark (relative strength).
	•	RS < 1 → The asset is underperforming.
	•	RS ≈ 1 → Neutral or moving in sync with the benchmark.
Gradient background zones:
	•	Green tones = outperformance (RS > 1).
	•	Red tones = underperformance (RS < 1).
	•	Gray neutral band = parity (RS ≈ 1).
Intensity adjusts dynamically based on how far RS deviates from 1, giving an at-a-glance view of market leadership strength.
	•	Color-coded RSI line: Green when RS > 1, red when RS < 1.
	•	Optional markers and labels show confirmed RS+RSI crossovers with smart spacing to prevent clutter.
	•	Alerts included for bullish and bearish RS+RSI alignment events.
How to Use
	1.	Add your preferred benchmark symbol (default: SPY).
	2.	Move this indicator into the same pane as your RSI (No need to overlay, does so automatically) and can also be used standalone.
	3.	Watch for:
	•	Green RSI & background: Significant momentum strength (asset trending upward and outpacing the market).
	•	Red RSI & background: False or insignificant momentum (asset lagging).
	•	Gray zone: neutral phase — consolidation or rotation period.
Use this as a trend-confirmation filter rather than a signal generator.
For example:
	•	Confirm and refine breakout entries when RS > 1 (RSI support = stronger conviction).
	•	Take profits when RSI weakens and RS slips below 1.
Spread Trading Z-ScoreIndicator: Z-Score Spread Indicator
Description
The "Z-Score Spread Indicator" is a powerful tool for traders employing mean-reversion strategies on the spread between two financial assets (e.g., futures contracts like MNQ and MES). This indicator calculates and plots the Z-score of the price spread, indicating how far the current spread deviates from its historical mean. It features customizable entry and exit thresholds with adjustable offsets, along with an estimated p-value displayed in a table to assess statistical significance.
Key Features
Asset Selection: Allows users to select two asset symbols (e.g., CME_MINI:MNQ1! and CME_MINI:MES1!) via customizable inputs.
Z-Score Calculation: Computes the Z-score based on the spread’s simple moving average and standard deviation over a user-defined lookback period.
Customizable Thresholds with Offset: Offers adjustable base entry and exit thresholds, with an optional offset to fine-tune trading levels, plotted as horizontal lines.
P-Value Estimation: Provides an approximate p-value to evaluate the statistical significance of the Z-score, displayed in a table anchored to the top-left corner.
Visual Representation: Plots the Z-score with a zero line and threshold lines for intuitive interpretation.
Adjustable Parameters
Asset A Symbol: Symbol for Asset A (default: CME_MINI:MNQ1!).
Asset B Symbol: Symbol for Asset B (default: CME_MINI:MES1!).
Z-Score Lookback: Lookback period for Z-score calculation (default: 40, minimum 2).
Base Entry Threshold: Threshold for entry signals (default: 1.8, adjustable with a step of 0.1).
Base Exit Threshold: Threshold for exit signals (default: 0.5, adjustable with a step of 0.1).
Threshold Offset (+/-): Offset to adjust entry and exit thresholds symmetrically (default: 0.0, range -5.0 to 5.0, step 0.1).
Usage
Add the indicator to your chart via the "Indicators" tab.
Customize the parameters based on your preferred assets and trading strategy (lookback period, thresholds, offset).
Observe the Z-score plot and threshold lines (red for short entry, green for long entry, orange dotted for exits) to identify potential trade setups.
Check the p-value table in the top-left corner to assess the statistical significance of the current Z-score.
Use this data to inform mean-reversion trading decisions, ideally in conjunction with other indicators.
Notes
A Z-score above the entry threshold (positive) or below the negative entry threshold suggests a potential short or long entry, respectively. Exits are signaled when the Z-score crosses the exit thresholds.
The p-value is an approximation based on the normal distribution; a value below 0.05 typically indicates statistical significance, but further validation is recommended.
The indicator uses a simple spread (Asset A - Asset B) without volatility adjustments; consider pairing it with a lots calculator for hedging.
Limitations
The p-value is an approximation and may not reflect advanced statistical tests (e.g., ADF) due to Pine Script constraints.
No automatic trading signals are generated; it provides data for manual analysis.
Author
Developed by grogusama, October 15, 2025, 07:29 PM CEST.
Mean Reversion Oscillator [Alpha Extract]An advanced composite oscillator system specifically designed to identify extreme market conditions and high-probability mean reversion opportunities, combining five proven oscillators into a single, powerful analytical framework.
By integrating multiple momentum and volume-based indicators with sophisticated extreme level detection, this oscillator provides precise entry signals for contrarian trading strategies while filtering out false reversals through momentum confirmation.
🔶 Multi-Oscillator Composite Framework
Utilizes a comprehensive approach that combines Bollinger %B, RSI, Stochastic, Money Flow Index, and Williams %R into a unified composite score. This multi-dimensional analysis ensures robust signal generation by capturing different aspects of market extremes and momentum shifts.
 // Weighted composite (equal weights)
normalized_bb = bb_percent
normalized_rsi = rsi
normalized_stoch = stoch_d_val
normalized_mfi = mfi
normalized_williams = williams_r
composite_raw = (normalized_bb + normalized_rsi + normalized_stoch + normalized_mfi + normalized_williams) / 5
composite = ta.sma(composite_raw, composite_smooth) 
🔶 Advanced Extreme Level Detection
Features a sophisticated dual-threshold system that distinguishes between moderate and extreme market conditions. This hierarchical approach allows traders to identify varying degrees of mean reversion potential, from moderate oversold/overbought conditions to extreme levels that demand immediate attention.
🔶 Momentum Confirmation System
Incorporates a specialized momentum histogram that confirms mean reversion signals by analyzing the rate of change in the composite oscillator. This prevents premature entries during strong trending conditions while highlighting genuine reversal opportunities.
 // Oscillator momentum (rate of change)
osc_momentum = ta.mom(composite, 5)
histogram = osc_momentum
// Momentum confirmation
momentum_bullish = histogram > histogram 
momentum_bearish = histogram < histogram 
// Confirmed signals
confirmed_bullish = bullish_entry and momentum_bullish
confirmed_bearish = bearish_entry and momentum_bearish 
🔶 Dynamic Visual Intelligence
The oscillator line adapts its color intensity based on proximity to extreme levels, providing instant visual feedback about market conditions. Background shading creates clear zones that highlight when markets enter moderate or extreme territories.
🔶 Intelligent Signal Generation
Generates precise entry signals only when the composite oscillator crosses extreme thresholds with momentum confirmation. This dual-confirmation approach significantly reduces false signals while maintaining sensitivity to genuine mean reversion opportunities.
How It Works
🔶 Composite Score Calculation
The indicator simultaneously tracks five different oscillators, each normalized to a 0-100 scale, then combines them into a smoothed composite score. This approach eliminates the noise inherent in single-oscillator analysis while capturing the consensus view of multiple momentum indicators.
 // Mean reversion entry signals
bullish_entry = ta.crossover(composite, 100 - extreme_level) and composite  < (100 - extreme_level)
bearish_entry = ta.crossunder(composite, extreme_level) and composite  > extreme_level
// Bollinger %B calculation
bb_basis = ta.sma(src, bb_length)
bb_dev = bb_mult * ta.stdev(src, bb_length)
bb_percent = (src - bb_lower) / (bb_upper - bb_lower) * 100 
🔶 Extreme Zone Identification
The system automatically identifies when markets reach statistically significant extreme levels, both moderate (65/35) and extreme (80/20). These zones represent areas where mean reversion has the highest probability of success based on historical market behavior.
🔶 Momentum Histogram Analysis
A specialized momentum histogram tracks the velocity of oscillator changes, helping traders distinguish between healthy corrections and potential trend reversals. The histogram's color-coded display makes momentum shifts immediately apparent.
🔶 Divergence Detection Framework
Built-in divergence analysis identifies situations where price and oscillator movements diverge, often signaling impending reversals. Diamond-shaped markers highlight these critical divergence patterns for enhanced pattern recognition.
🔶 Real-Time Information Dashboard
An integrated information table provides instant access to current oscillator readings, market status, and individual component values. This dashboard eliminates the need to manually check multiple indicators while trading.
🔶 Individual Component Display
Optional display of individual oscillator components allows traders to understand which specific indicators are driving the composite signal. This transparency enables more informed decision-making and deeper market analysis.
🔶 Adaptive Background Coloring
Intelligent background shading automatically adjusts based on market conditions, creating visual zones that correspond to different levels of mean reversion potential. The subtle color gradations make pattern recognition effortless.
1D
  
3D
  
🔶 Comprehensive Alert System
Multi-tier alert system covers confirmed entry signals, divergence patterns, and extreme level breaches. Each alert type provides specific context about the detected condition, enabling traders to respond appropriately to different signal strengths.
🔶 Customizable Threshold Management
Fully adjustable extreme and moderate levels allow traders to fine-tune the indicator's sensitivity to match different market volatilities and trading timeframes. This flexibility ensures optimal performance across various market conditions.
🔶 Why Choose AE - Mean Reversion Oscillator?
This indicator provides the most comprehensive approach to mean reversion trading by combining multiple proven oscillators with advanced confirmation mechanisms. By offering clear visual hierarchies for different extreme levels and requiring momentum confirmation for signals, it empowers traders to identify high-probability contrarian opportunities while avoiding false reversals. The sophisticated composite methodology ensures that signals are both statistically significant and practically actionable, making it an essential tool for traders focused on mean reversion strategies across all market conditions.
Historical Matrix Analyzer [PhenLabs]📊Historical Matrix Analyzer  
 Version:  PineScriptv6
 📌Description 
The Historical Matrix Analyzer is an advanced probabilistic trading tool that transforms technical analysis into a data-driven decision support system. By creating a comprehensive 56-cell matrix that tracks every combination of RSI states and multi-indicator conditions, this indicator reveals which market patterns have historically led to profitable outcomes and which have not.
At its core, the indicator continuously monitors seven distinct RSI states (ranging from Extreme Oversold to Extreme Overbought) and eight unique indicator combinations (MACD direction, volume levels, and price momentum). For each of these 56 possible market states, the system calculates average forward returns, win rates, and occurrence counts based on your configurable lookback period. The result is a color-coded probability matrix that shows you exactly where you stand in the historical performance landscape.
The standout feature is the Current State Panel, which provides instant clarity on your active market conditions. This panel displays signal strength classifications (from Strong Bullish to Strong Bearish), the average return percentage for similar past occurrences, an estimated win rate using Bayesian smoothing to prevent small-sample distortions, and a confidence level indicator that warns you when insufficient data exists for reliable conclusions.
 🚀Points of Innovation 
 
 Multi-dimensional state classification combining 7 RSI levels with 8 indicator combinations for 56 unique trackable market conditions
 Bayesian win rate estimation with adjustable smoothing strength to provide stable probability estimates even with limited historical samples
 Real-time active cell highlighting with “NOW” marker that visually connects current market conditions to their historical performance data
 Configurable color intensity sensitivity allowing traders to adjust heat-map responsiveness from conservative to aggressive visual feedback
 Dual-panel display system separating the comprehensive statistics matrix from an easy-to-read current state summary panel
 Intelligent confidence scoring that automatically warns traders when occurrence counts fall below reliable thresholds
 
 🔧Core Components 
 
 RSI State Classification:  Segments RSI readings into 7 distinct zones (Extreme Oversold <20, Oversold 20-30, Weak 30-40, Neutral 40-60, Strong 60-70, Overbought 70-80, Extreme Overbought >80) to capture momentum extremes and transitions
 Multi-Indicator Condition Tracking:  Simultaneously monitors MACD crossover status (bullish/bearish), volume relative to moving average (high/low), and price direction (rising/falling) creating 8 binary-encoded combinations
 Historical Data Storage Arrays:  Maintains rolling lookback windows storing RSI states, indicator states, prices, and bar indices for precise forward-return calculations
 Forward Performance Calculator:  Measures price changes over configurable forward bar periods (1-20 bars) from each historical state, accumulating total returns and win counts per matrix cell
 Bayesian Smoothing Engine:  Applies statistical prior assumptions (default 50% win rate) weighted by user-defined strength parameter to stabilize estimated win rates when sample sizes are small
 Dynamic Color Mapping System:  Converts average returns into color-coded heat map with intensity adjusted by sensitivity parameter and transparency modified by confidence levels
 
 🔥Key Features 
 
 56-Cell Probability Matrix:  Comprehensive grid displaying every possible combination of RSI state and indicator condition, with each cell showing average return percentage, estimated win rate, and occurrence count for complete statistical visibility
 Current State Info Panel:  Dedicated display showing your exact position in the matrix with signal strength emoji indicators, numerical statistics, and color-coded confidence warnings for immediate situational awareness
 Customizable Lookback Period:  Adjustable historical window from 50 to 500 bars allowing traders to focus on recent market behavior or capture longer-term pattern stability across different market cycles
 Configurable Forward Performance Window:  Select target holding periods from 1 to 20 bars ahead to align probability calculations with your trading timeframe, whether day trading or swing trading
 Visual Heat Mapping:  Color-coded cells transition from red (bearish historical performance) through gray (neutral) to green (bullish performance) with intensity reflecting statistical significance and occurrence frequency
 Intelligent Data Filtering:  Minimum occurrence threshold (1-10) removes unreliable patterns with insufficient historical samples, displaying gray warning colors for low-confidence cells
 Flexible Layout Options:  Independent positioning of statistics matrix and info panel to any screen corner, accommodating different chart layouts and personal preferences
 Tooltip Details:  Hover over any matrix cell to see full RSI label, complete indicator status description, precise average return, estimated win rate, and total occurrence count
 
 🎨Visualization 
 
 Statistics Matrix Table:  A 9-column by 8-row grid with RSI states labeling vertical axis and indicator combinations on horizontal axis, using compact abbreviations (XOverS, OverB, MACD↑, Vol↓, P↑) for space efficiency
 Active Cell Indicator:  The current market state cell displays “⦿ NOW ⦿” in yellow text with enhanced color saturation to immediately draw attention to relevant historical performance
 Signal Strength Visualization:  Info panel uses emoji indicators (🔥 Strong Bullish, ✅ Bullish, ↗️ Weak Bullish, ➖ Neutral, ↘️ Weak Bearish, ⛔ Bearish, ❄️ Strong Bearish, ⚠️ Insufficient Data) for rapid interpretation
 Histogram Plot:  Below the price chart, a green/red histogram displays the current cell’s average return percentage, providing a time-series view of how historical performance changes as market conditions evolve
 Color Intensity Scaling:  Cell background transparency and saturation dynamically adjust based on both the magnitude of average returns and the occurrence count, ensuring visual emphasis on reliable patterns
 Confidence Level Display:  Info panel bottom row shows “High Confidence” (green), “Medium Confidence” (orange), or “Low Confidence” (red) based on occurrence counts relative to minimum threshold multipliers
 
 📖Usage Guidelines 
 RSI Period 
 
 Default: 14
 Range: 1 to unlimited
 Description: Controls the lookback period for RSI momentum calculation. Standard 14-period provides widely-recognized overbought/oversold levels. Decrease for faster, more sensitive RSI reactions suitable for scalping. Increase (21, 28) for smoother, longer-term momentum assessment in swing trading. Changes affect how quickly the indicator moves between the 7 RSI state classifications.
 
 MACD Fast Length 
 
 Default: 12
 Range: 1 to unlimited
 Description: Sets the faster exponential moving average for MACD calculation. Standard 12-period setting works well for daily charts and captures short-term momentum shifts. Decreasing creates more responsive MACD crossovers but increases false signals. Increasing smooths out noise but delays signal generation, affecting the bullish/bearish indicator state classification.
 
 MACD Slow Length 
 
 Default: 26
 Range: 1 to unlimited
 Description: Defines the slower exponential moving average for MACD calculation. Traditional 26-period setting balances trend identification with responsiveness. Must be greater than Fast Length. Wider spread between fast and slow increases MACD sensitivity to trend changes, impacting the frequency of indicator state transitions in the matrix.
 
 MACD Signal Length 
 
 Default: 9
 Range: 1 to unlimited
 Description: Smoothing period for the MACD signal line that triggers bullish/bearish state changes. Standard 9-period provides reliable crossover signals. Shorter values create more frequent state changes and earlier signals but with more whipsaws. Longer values produce more confirmed, stable signals but with increased lag in detecting momentum shifts.
 
 Volume MA Period 
 
 Default: 20
 Range: 1 to unlimited
 Description: Lookback period for volume moving average used to classify volume as “high” or “low” in indicator state combinations. 20-period default captures typical monthly trading patterns. Shorter periods (10-15) make volume classification more reactive to recent spikes. Longer periods (30-50) require more sustained volume changes to trigger state classification shifts.
 
 Statistics Lookback Period 
 
 Default: 200
 Range: 50 to 500
 Description: Number of historical bars used to calculate matrix statistics. 200 bars provides substantial data for reliable patterns while remaining responsive to regime changes. Lower values (50-100) emphasize recent market behavior and adapt quickly but may produce volatile statistics. Higher values (300-500) capture long-term patterns with stable statistics but slower adaptation to changing market dynamics.
 
 Forward Performance Bars 
 
 Default: 5
 Range: 1 to 20
 Description: Number of bars ahead used to calculate forward returns from each historical state occurrence. 5-bar default suits intraday to short-term swing trading (5 hours on hourly charts, 1 week on daily charts). Lower values (1-3) target short-term momentum trades. Higher values (10-20) align with position trading and longer-term pattern exploitation.
 
 Color Intensity Sensitivity 
 
 Default: 2.0
 Range: 0.5 to 5.0, step 0.5
 Description: Amplifies or dampens the color intensity response to average return magnitudes in the matrix heat map. 2.0 default provides balanced visual emphasis. Lower values (0.5-1.0) create subtle coloring requiring larger returns for full saturation, useful for volatile instruments. Higher values (3.0-5.0) produce vivid colors from smaller returns, highlighting subtle edges in range-bound markets.
 
 Minimum Occurrences for Coloring 
 
 Default: 3
 Range: 1 to 10
 Description: Required minimum sample size before applying color-coded performance to matrix cells. Cells with fewer occurrences display gray “insufficient data” warning. 3-occurrence default filters out rare patterns. Lower threshold (1-2) shows more data but includes unreliable single-event statistics. Higher thresholds (5-10) ensure only well-established patterns receive visual emphasis.
 
 Table Position 
 
 Default: top_right
 Options: top_left, top_right, bottom_left, bottom_right
 Description: Screen location for the 56-cell statistics matrix table. Position to avoid overlapping critical price action or other indicators on your chart. Consider chart orientation and candlestick density when selecting optimal placement.
 
 Show Current State Panel 
 
 Default: true
 Options: true, false
 Description: Toggle visibility of the dedicated current state information panel. When enabled, displays signal strength, RSI value, indicator status, average return, estimated win rate, and confidence level for active market conditions. Disable to declutter charts when only the matrix table is needed.
 
 Info Panel Position 
 
 Default: bottom_left
 Options: top_left, top_right, bottom_left, bottom_right
 Description: Screen location for the current state information panel (when enabled). Position independently from statistics matrix to optimize chart real estate. Typically placed opposite the matrix table for balanced visual layout.
 
 Win Rate Smoothing Strength 
 
 Default: 5
 Range: 1 to 20
 Description: Controls Bayesian prior weighting for estimated win rate calculations. Acts as virtual sample size assuming 50% win rate baseline. Default 5 provides moderate smoothing preventing extreme win rate estimates from small samples. Lower values (1-3) reduce smoothing effect, allowing win rates to reflect raw data more directly. Higher values (10-20) increase conservatism, pulling win rate estimates toward 50% until substantial evidence accumulates.
 
 ✅Best Use Cases 
 
 Pattern-based discretionary trading where you want historical confirmation before entering setups that “look good” based on current technical alignment
 Swing trading with holding periods matching your forward performance bar setting, using high-confidence bullish cells as entry filters
 Risk assessment and position sizing, allocating larger size to trades originating from cells with strong positive average returns and high estimated win rates
 Market regime identification by observing which RSI states and indicator combinations are currently producing the most reliable historical patterns
 Backtesting validation by comparing your manual strategy signals against the historical performance of the corresponding matrix cells
 Educational tool for developing intuition about which technical condition combinations have actually worked versus those that feel right but lack historical evidence
 
 ⚠️Limitations 
 
 Historical patterns do not guarantee future performance, especially during unprecedented market events or regime changes not represented in the lookback period
 Small sample sizes (low occurrence counts) produce unreliable statistics despite Bayesian smoothing, requiring caution when acting on low-confidence cells
 Matrix statistics lag behind rapidly changing market conditions, as the lookback period must accumulate new state occurrences before updating performance data
 Forward return calculations use fixed bar periods that may not align with actual trade exit timing, support/resistance levels, or volatility-adjusted profit targets
 
 💡What Makes This Unique 
 
 Multi-Dimensional State Space:  Unlike single-indicator tools, simultaneously tracks 56 distinct market condition combinations providing granular pattern resolution unavailable in traditional technical analysis
 Bayesian Statistical Rigor:  Implements proper probabilistic smoothing to prevent overconfidence from limited data, a critical feature missing from most pattern recognition tools
 Real-Time Contextual Feedback:  The “NOW” marker and dedicated info panel instantly connect current market conditions to their historical performance profile, eliminating guesswork
 Transparent Occurrence Counts:  Displays sample sizes directly in each cell, allowing traders to judge statistical reliability themselves rather than hiding data quality issues
 Fully Customizable Analysis Window:  Complete control over lookback depth and forward return horizons lets traders align the tool precisely with their trading timeframe and strategy requirements
 
 🔬How It Works 
 1. State Classification and Encoding 
 
 Each bar’s RSI value is evaluated and assigned to one of 7 discrete states based on threshold levels (0: <20, 1: 20-30, 2: 30-40, 3: 40-60, 4: 60-70, 5: 70-80, 6: >80)
 Simultaneously, three binary conditions are evaluated: MACD line position relative to signal line, current volume relative to its moving average, and current close relative to previous close
 These three binary conditions are combined into a single indicator state integer (0-7) using binary encoding, creating 8 possible indicator combinations
 The RSI state and indicator state are stored together, defining one of 56 possible market condition cells in the matrix
 
 2. Historical Data Accumulation 
 
 As each bar completes, the current state classification, closing price, and bar index are stored in rolling arrays maintained at the size specified by the lookback period
 When the arrays reach capacity, the oldest data point is removed and the newest added, creating a sliding historical window
 This continuous process builds a comprehensive database of past market conditions and their subsequent price movements
 
 3. Forward Return Calculation and Statistics Update 
 
 On each bar, the indicator looks back through the stored historical data to find bars where sufficient forward bars exist to measure outcomes
 For each historical occurrence, the price change from that bar to the bar N periods ahead (where N is the forward performance bars setting) is calculated as a percentage return
 This percentage return is added to the cumulative return total for the specific matrix cell corresponding to that historical bar’s state classification
 Occurrence counts are incremented, and wins are tallied for positive returns, building comprehensive statistics for each of the 56 cells
 The Bayesian smoothing formula combines these raw statistics with prior assumptions (neutral 50% win rate) weighted by the smoothing strength parameter to produce estimated win rates that remain stable even with small samples
 
 💡Note: 
The Historical Matrix Analyzer is designed as a decision support tool, not a standalone trading system. Best results come from using it to validate discretionary trade ideas or filter systematic strategy signals. Always combine matrix insights with proper risk management, position sizing rules, and awareness of broader market context. The estimated win rate feature uses Bayesian statistics specifically to prevent false confidence from limited data, but no amount of smoothing can create reliable predictions from fundamentally insufficient sample sizes. Focus on high-confidence cells (green-colored confidence indicators) with occurrence counts well above your minimum threshold for the most actionable insights.
Fair Value Lead-Lag Model [BackQuant]Fair Value Lead-Lag Model  
 A cross-asset model that estimates where price "should" be relative to a chosen reference series, then tracks the deviation as a normalized oscillator. It helps you answer two questions: 1) is the asset rich or cheap vs its driver, and 2) is the driver leading or lagging price over the next N bars.
 Concept in one paragraph 
 Many assets co-move with a macro or sector driver. Think BTC vs DXY, gold vs real yields, a stock vs its sector ETF. This tool builds a rolling fair value of the charted asset from a reference series and shows how far price is above or below that fair value in standard deviation units. You can shift the reference forward or backward to test who leads whom, then use the deviation and its bands to structure mean-reversion or trend-following ideas.
 What the model does 
  
  Reference mapping : Pulls a reference symbol at a chosen timeframe, with an optional lead or lag in bars to test causality.
  Fair value engine : Converts the reference into a synthetic fair value of the chart using one of four methods:
  
  Ratio : price/ref with a rolling average ratio. Good when the relationship is proportional.
  Spread : price minus ref with a rolling average spread. Good when the relationship is additive.
  Z-Score : normalizes both series, aligns on standardized units, then re-projects to price space. Good when scale drifts.
  Beta-Adjusted : rolling regression style. Uses covariance and variance to compute beta, then builds a fair value = mean(price) + beta * (ref − mean(ref)).
  
  Deviation and bands : Computes a z-scored deviation of price vs fair value and plots sigma bands (±1, ±2, ±3) around the fair value line on the chart.
  Correlation context : Shows rolling correlation so you can judge if deviations are meaningful or just noise when co-movement is weak.
  Visuals :
  
  Fair value line on price chart with sigma envelopes.
  Deviation as a column oscillator and optional line.
  Threshold shading beyond user-set upper and lower levels.
  Summary table with reference, deviation, status, correlation, and method.
  
  
 Why this is useful 
  
  Mean reversion framework : When correlation is healthy and deviation stretches beyond your sigma threshold, probability favors reversion toward fair value. This is classic pairs logic adapted to a driver and a target.
  Trend confirmation : If price rides the fair value line and deviation stays modest while correlation is positive, it supports trend persistence. Pullbacks to negative deviation in an uptrend can be buyable.
  Lead-lag discovery : Shift the reference forward by +N bars. If correlation improves, the reference tends to lead. Shift backward for the reverse. Use the best setting for planning early entries or hedges.
  Regime detection : Large persistent deviations with falling correlation hint at regime change. The relationship you relied on may be breaking down, so reduce confidence or switch methods.
  
 How to use it step by step 
  
  Pick a sensible reference : Choose a macro, index, currency, or sector driver that logically explains the asset’s moves. Example: gold with DXY, a semiconductor stock with SOXX.
  Test lead-lag : Nudge Lead/Lag Periods to small positive values like +1 to +5 to see if the reference leads. If correlation improves, keep that offset. If correlation worsens, try a small negative value or zero.
  Select a method :
  
  Start with  Beta-Adjusted  when the relationship is approximately linear with drift.
  Use  Ratio  if the assets usually move in proportional terms.
  Use  Spread  when they trade around a level difference.
  Use  Z-Score  when scales wander or volatility regimes shift.
  
  Tune windows :
  
  Rolling Window controls how quickly fair value adapts. Shorter equals faster but noisier.
  Normalization Period controls how deviations are standardized. Longer equals stabler sigma sizing.
  Correlation Length controls how co-movement is measured. Keep it near the fair value window.
  
  Trade the edges :
  
  Mean reversion idea : Wait for deviation beyond your Upper or Lower Threshold with positive correlation. Fade back toward fair value. Exit at the fair value line or the next inner sigma band.
  Trend idea : In an uptrend, buy pullbacks when deviation dips negative but correlation remains healthy. In a downtrend, sell bounces when deviation spikes positive.
  
  Read the table : Deviation shows how many sigmas you are from fair value. Status tells you overvalued or undervalued. Correlation color hints confidence. Method tells you the projection style used.
  
 Reading the display 
  
  Fair value line  on price chart: the model’s estimate of where price should trade given the reference, updated each bar.
  Sigma bands  around fair value: a quick sense of residual volatility. Reversions often target inner bands first.
  Deviation oscillator : above zero means rich vs fair value, below zero means cheap. Color bins intensify with distance.
  Correlation line  (optional): scale is folded to match thresholds. Higher values increase trust in deviations.
  
 Parameter tips 
  
  Start with Rolling Window 20 to 30, Normalization Period 100, Correlation Length 50.
  Upper and Lower Threshold at ±2.0 are classic. Tighten to ±1.5 for more signals or widen to ±2.5 to focus on outliers.
  When correlation drifts below about 0.3, treat deviations with caution. Consider switching method or reference.
  If the fair value line whipsaws, increase Rolling Window or move to Beta-Adjusted which tends to be smoother.
  
 Playbook examples 
  
  Pairs-style reversion : Asset is +2.3 sigma rich vs reference, correlation 0.65, trend flat. Short the deviation back toward fair value. Cover near the fair value line or +1 sigma.
  Pro-trend pullback : Uptrend with correlation 0.7. Deviation dips to −1.2 sigma while price sits near the −1 sigma band. Buy the dip, target the fair value line, trail if the line is rising.
  Lead-lag timing : Reference leads by +3 bars with improved correlation. Use reference swings as early cues to anticipate deviation turns on the target.
  
 Caveats 
  
  The model assumes a stable relationship over the chosen windows. Structural breaks, policy shocks, and index rebalances can invalidate recent history.
  Correlation is descriptive, not causal. A strong correlation does not guarantee future convergence.
  Do not force trades when the reference has low liquidity or mismatched hours. Use a reference timeframe that captures real overlap.
  
 Bottom line 
This tool turns a loose cross-asset intuition into a quantified, visual fair value map. It gives you a consistent way to find rich or cheap conditions, time mean-reversion toward a statistically grounded target, and confirm or fade trends when the driver agrees.
Hyper Strength Index | QuantLapse🧠 Hyper Strength Index (HSI) | QuantLapse 
 Overview: 
The Hyper Strength Index (HSI) is a composite momentum oscillator designed to unify multiple strength measures into a single, adaptive framework. It combines the Relative Strength Index (RSI), Chande Momentum Oscillator (CMO), Money Flow Index (MFI), and Stochastic RSI to deliver a refined, multidimensional view of market momentum and overbought/oversold conditions.
Unlike traditional oscillators that rely on a single formula, the HSI averages four distinct momentum perspectives — price velocity, directional conviction, volume participation, and stochastic behavior — offering traders a more balanced and noise-resistant reading of market strength.
 ⚙️ Calculation Logic: 
The Hyper Strength Index is computed as the normalized average of:
 
 📈 RSI — classic measure of relative momentum.
 💪 CMO — captures directional bias and intensity of moves.
 💵 MFI — integrates volume and money flow pressure.
 🔄 Stochastic RSI (K-line) — identifies momentum extremes and short-term turning points.
 
This fusion creates a smoother, more comprehensive signal, mitigating the weaknesses of any single oscillator.
 🎯 Interpretation: 
Overbought Zone (Default: > 75):
Indicates potential exhaustion of bullish momentum — a cooling phase or reversal may follow.
Oversold Zone (Default: < 7):
Suggests bearish exhaustion — a rebound or accumulation phase may emerge.
Neutral Zone (Between 7 and 75):
Represents balanced market conditions or trend continuation phases.
Visual cues highlight key conditions:
🔺 Red Highlights — Overbought regions or downward inflection points.
🔻 Green Highlights — Oversold regions or upward inflection points.
Neutral zones are shaded with subtle gray backgrounds for clarity.
 💡 Key Features: 
🔹 Multi-factor strength analysis (RSI + CMO + MFI + StochRSI).
🔹 Adaptive overbought/oversold detection.
🔹 Visual alerts via colored backgrounds and bar markers.
🔹 Customizable smoothing and length parameters for fine-tuning sensitivity.
🔹 Intuitive visualization ideal for both short-term scalping and swing trading setups.
🧭 Usage Notes:
Works best as a momentum confirmation tool — pair with trend filters like EMA, SuperTrend, or ADX.
In trending markets, use crossovers from extreme zones as potential continuation or exhaustion signals.
In ranging markets, exploit overbought/oversold reversals for high-probability mean reversion trades.
📘 Summary:
The Hyper Strength Index | QuantLapse distills multiple dimensions of market strength into a single, cohesive oscillator. By merging price, volume, and directional momentum, it provides traders with a more robust, responsive, and context-aware perspective on market dynamics — a next-generation evolution beyond the limitations of RSI or CMO alone.
VBE Pro - Advanced Volatility Bands with Zero Lag & PredictionVBE Pro: Zero-Lag Predictive Bands
A next-gen volatility envelope that blends zero-lag smoothing with forward-looking volatility models (EWMA/GARCH/HAR/ML) to keep bands tight in calm markets, responsive in shocks, and adaptive across regimes.
What it does
Builds volatility from multiple methods (ATR, StDev, Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang).
Projects near-term vol with your choice of predictor, then blends it via a weight slider.
Applies zero-lag smoothing (ZLEMA/ZLMA/DEMA/TEMA/HMA/JMA/Ehlers/Kalman/T3) to cut delay without over-shoot.
Auto-adapts band width by regime (high/low/normal) and can expand dynamically with price acceleration.
Optional displacement to align with your execution style.
On-chart
Upper/Lower zero-lag bands with optional fill.
Middle line (ZL-smoothed source).
Regime-tinted background (High/Low).
Displacement marker (if used).
Compact top-right info table: current vs predicted vol, regime, squeeze, multiplier, methods, ZL gain, est. lag reduction.
Signals & Alerts
Break↑ / Break↓ when price crosses the bands.
Vol↑ / Vol↓ expansion/contraction sequences.
“Squeeze” when band width compresses vs its ZL average.
“ZL” marker when significant zero-lag is active.
Prediction divergence ⚠ when projected vol deviates > threshold.
Built-in alertconditions for all of the above.
Quick start
Method: ATR or Hybrid for robustness.
Smoothing: ZLEMA, length 5–8, ZL gain 2–3 (push higher only if you accept more projection).
Bands: Multiplier 2.0, Adaptive on, Dynamic off to start.
Prediction: EWMA, weight 0.25–0.35. Move to GARCH in mean-reverty tapes; HAR-RV for mixed regimes.
Regime lookback: 50.
PulseRPO Zero-Lag BandsPulseRPO is a momentum and volatility timing suite built on a zero-lag Relative Price Oscillator. It pairs an RPO (fast vs slow MA spread, in %) with adaptive volatility envelopes that tighten or widen as conditions change, so you can spot true momentum bursts, exhaustion and “quiet-before-the-move” squeezes—without the usual MA lag.
What it shows
Zero-Lag RPO: Choose EMA, SMA, WMA, RMA, HMA or ZLEMA for the base, then apply ZLEMA/DEMA/TEMA/HMA zero-lag smoothing to cut delay.
Adaptive Bands: StdDev, ATR, Range or Hybrid volatility; bands auto-tighten in high vol and widen in quiet regimes.
Dynamic OB/OS: Levels scale with current regime so extremes mean something even as volatility shifts.
Signal & Histogram: Classic signal cross plus histogram for quick read of acceleration vs deceleration.
Squeeze Paint: Subtle background highlight when band width compresses below its average.
Divergences & Triggers: Optional bullish/bearish divergence tags, plus band-cross and signal-cross alerts out of the box.
How to use it (general guide)
Momentum entries: Look for RPO crossing up its signal from below or snapping out of a squeeze; extra weight if it also re-enters from below the lower band.
Trend continuation: RPO riding outside the upper (or lower) band with rising histogram = power move; trail risk on pullbacks to the signal line.
Exhaustion / fades: Taps beyond dynamic OB/OS or band re-entries can mark mean-revert windows—confirm with price/volume.
Risk filter: During squeeze, size down and prepare for expansion; after expansion, respect extremes.
Tweak the MA type, band method and zero-lag strength to match your timeframe. PulseRPO is designed to be a self-contained read: regime → setup → trigger → alert.
Luxy Adaptive MA Cloud - Trend Strength & Signal Tracker V2Luxy Adaptive MA Cloud  - Professional Trend Strength & Signal Tracker
Next-generation moving average cloud indicator combining ultra-smooth gradient visualization with intelligent momentum detection. Built for traders who demand clarity, precision, and actionable insights.
 ═══════════════════════════════════════════════ 
  WHAT MAKES THIS INDICATOR SPECIAL? 
 ═══════════════════════════════════════════════ 
Unlike traditional MA indicators that show static lines, Luxy Adaptive MA Cloud creates a  living, breathing visualization  of market momentum. Here's what sets it apart:
 
 Exponential Gradient Technology 
This isn't just a simple fill between two lines. It's a professionally engineered gradient system with 26 precision layers using exponential density distribution. The result? An organic, cloud-like appearance where the center is dramatically darker (15% transparency - where crossovers and price action occur), while edges fade gracefully (75% transparency). Think of it as a visual "heat map" of trend strength.
  Dynamic Momentum Intelligence 
Most MA clouds only show  structure  (which MA is on top). This indicator shows  momentum strength  in real-time through four intelligent states:
- 🟢  Bright Green  = Explosive bullish momentum (both MAs rising strongly)
- 🔵  Blue  = Weakening bullish (structure intact, but momentum fading)
- 🟠  Orange  = Caution zone (bearish structure forming, weak momentum)
- 🔴  Deep Red  = Strong bearish momentum (both MAs falling)
The cloud literally  tells you  when trends are accelerating or losing steam.
  Conditional Performance Architecture 
Every calculation is optimized for speed. Disable a feature? It stops calculating entirely—not just hidden, but  not computed . The 26-layer gradient only renders when enabled. Toggle signals off? Those crossover checks don't run. This makes it one of the most efficient cloud indicators available, even with its advanced visual system.
  Zero Repaint Guarantee 
All signals and momentum states are based on  confirmed bar data only . What you see in historical data is  exactly  what you would have seen trading live. No lookahead bias. No repainting tricks. No signals that "magically" appear perfect in hindsight. If a signal shows in history, it would have triggered in real-time at that exact moment.
  Educational by Design 
Every single input includes comprehensive tooltips with:
- Clear explanations of what each parameter does
- Practical examples of when to use different settings
- Recommended configurations for scalping, day trading, and swing trading
- Real-world trading impact ("This affects entry timing" vs "This is visual only")
You're not just getting an indicator—you're learning  how to use it effectively .
 
  
 ═══════════════════════════════════════════════ 
  THE GRADIENT CLOUD - TECHNICAL DETAILS 
 ═══════════════════════════════════════════════ 
 Architecture: 
 
 26 precision layers  for silk-smooth transitions
 Exponential density curve  - layers packed tightly near center (where crossovers happen), spread wider at edges
 75%-15% transparency range  - center is highly opaque (15%), edges fade gracefully (75%)
 V-Gradient design  - emphasizes the action zone between Fast and Medium MAs
 
 The Four Momentum States: 
🟢  GREEN - Strong Bullish 
 
 Fast MA above Medium MA
 Both MAs rising with momentum > 0.02%
 Action: Enter/hold LONG positions, strong uptrend confirmed
 
🔵  BLUE - Weak Bullish 
 
 Fast MA above Medium MA
 Weak or flat momentum
 Action: Caution - bullish structure but losing strength, consider trailing stops
 
🟠  ORANGE - Weak Bearish 
 
 Medium MA above Fast MA
 Weak or flat momentum  
 Action: Warning - bearish structure developing, consider exits
 
🔴  RED - Strong Bearish 
 
 Medium MA above Fast MA
 Both MAs falling with momentum < -0.02%
 Action: Enter/hold SHORT positions, strong downtrend confirmed
 
 Smooth Transitions:  The momentum score is smoothed using an 8-bar EMA to eliminate noise and prevent whipsaws. You see the  true trend , not every minor fluctuation.
  
 ═══════════════════════════════════════════════ 
  FLEXIBLE MOVING AVERAGE SYSTEM 
 ═══════════════════════════════════════════════ 
 Three Customizable MAs: 
 
 Fast MA  (default: EMA 10) - Reacts quickly to price changes, defines short-term momentum
 Medium MA  (default: EMA 20) - Balances responsiveness with stability, core trend reference
 Slow MA  (default: SMA 200, optional) - Long-term trend filter, major support/resistance
 
 Six MA Types Available: 
 
 EMA  - Exponential; faster response, ideal for momentum and day trading
 SMA  - Simple; smooth and stable, best for swing trading and trend following
 WMA  - Weighted; middle ground between EMA and SMA
 VWMA  - Volume-weighted; reflects market participation, useful for liquid markets
 RMA  - Wilder's smoothing; used in RSI/ADX, excellent for trend filters
 HMA  - Hull; extremely responsive with minimal lag, aggressive option
 
 Recommended Settings by Trading Style: 
 Scalping (1m-5m): 
 
Fast: EMA(5-8)
Medium: EMA(10-15)
Slow: Not needed or EMA(50)
 
 Day Trading (5m-1h): 
 
Fast: EMA(10-12)
Medium: EMA(20-21)
Slow: SMA(200) for bias
 
 Swing Trading (4h-1D): 
 
Fast: EMA(10-20)
Medium: EMA(34-50)
Slow: SMA(200)
 
 Pro Tip:  Start with Fast < Medium < Slow lengths. The gradient works best when there's clear separation between Fast and Medium MAs.
  
 ═══════════════════════════════════════════════ 
  CROSSOVER SIGNALS - CLEAN & RELIABLE 
 ═══════════════════════════════════════════════ 
 Golden Cross  ⬆  LONG Signal 
 
 Fast MA crosses  above  Medium MA
 Classic bullish reversal or trend continuation signal
 Most reliable when accompanied by GREEN cloud (strong momentum)
 
 Death Cross  ⬇  SHORT Signal 
 
 Fast MA crosses  below  Medium MA  
 Classic bearish reversal or trend continuation signal
 Most reliable when accompanied by RED cloud (strong momentum)
 
 Signal Intelligence: 
 
 Anti-spam filter  - Minimum 5 bars between signals prevents noise
 Clean labels  - Placed precisely at crossover points
 Alert-ready  - Built-in ALERTS for automated trading systems
 No repainting  - Signals based on confirmed bars only
 
 Signal Quality Assessment: 
 High-Quality Entry: 
 
Golden Cross + GREEN cloud + Price above both MAs
= Strong bullish setup ✓
 
 Low-Quality Entry (skip or wait): 
 
Golden Cross + ORANGE cloud + Choppy price action
= Weak bullish setup, likely whipsaw ✗
 
  
 ═══════════════════════════════════════════════ 
  REAL-TIME INFO PANEL 
 ═══════════════════════════════════════════════ 
An at-a-glance dashboard showing:
 Trend Strength Indicator: 
 
 Visual display of current momentum state
 Color-coded header matching cloud color
 Instant recognition of market bias
 
 MA Distance Table: 
Shows percentage distance of price from each enabled MA:
 
 Green rows : Price ABOVE MA (bullish)
 Red rows : Price BELOW MA (bearish)
 Gray rows : Price AT MA (rare, decision point)
 
 Distance Interpretation: 
 
+2% to +5%: Healthy uptrend
+5% to +10%: Getting extended, caution
+10%+: Overextended, expect pullback
-2% to -5%: Testing support
-5% to -10%: Oversold zone
-10%+: Deep correction or downtrend
 
 Customization: 
 
 4 corner positions
 5 font sizes (Tiny to Huge)
 Toggle visibility on/off
 
 ═══════════════════════════════════════════════ 
  HOW TO USE - PRACTICAL TRADING GUIDE 
 ═══════════════════════════════════════════════ 
 STRATEGY 1: Trend Following 
 
 Identify trend : Wait for GREEN (bullish) or RED (bearish) cloud
 Enter on signal : Golden Cross in GREEN cloud = LONG, Death Cross in RED cloud = SHORT
 Hold position : While cloud maintains color
 Exit signals :
   • Cloud turns ORANGE/BLUE = momentum weakening, tighten stops
   • Opposite crossover = close position
   • Cloud turns opposite color = full reversal
 
 STRATEGY 2: Pullback Entries 
 
 Confirm trend : GREEN cloud established (bullish bias)
 Wait for pullback : Price touches or crosses below Fast MA
 Enter when : Price rebounds back above Fast MA with cloud still GREEN
 Stop loss : Below Medium MA or recent swing low
 Target : Previous high or when cloud weakens
 
 STRATEGY 3: Momentum Confirmation 
 
 Your setup triggers : (e.g., chart pattern, support/resistance)
 Check cloud color :
   • GREEN = proceed with LONG
   • RED = proceed with SHORT  
   • BLUE/ORANGE = skip or reduce size
 Use gradient as confluence : Not as primary signal, but as momentum filter
 
 Risk Management Tips: 
 
 Never enter against the cloud color (don't LONG in RED cloud)
 Reduce position size during BLUE/ORANGE (transition periods)
 Place stops beyond Medium MA for swing trades
 Use Slow MA (200) as final trend filter - don't SHORT above it in uptrends
 
  
 ═══════════════════════════════════════════════ 
  PERFORMANCE & OPTIMIZATION 
 ═══════════════════════════════════════════════ 
 Tested On: 
 
 Crypto: BTC, ETH, major altcoins
 Stocks: SPY, AAPL, TSLA, QQQ
 Forex: EUR/USD, GBP/USD, USD/JPY
 Indices: S&P 500, NASDAQ, DJI
 
 ═══════════════════════════════════════════════ 
  TRANSPARENCY & RELIABILITY 
 ═══════════════════════════════════════════════ 
 Educational Focus: 
 
 Detailed tooltips on every input
 Clear documentation of methodology
 Practical examples in descriptions
 Teaches you  why , not just  what 
 
 Open Logic: 
 
 Momentum calculation: (Fast slope + Medium slope) / 2
 Smoothing: 8-bar EMA to reduce noise
 Thresholds: ±0.02% for strong momentum classification
 Everything is transparent and explainable
 
 ═══════════════════════════════════════════════ 
  COMPLETE FEATURE LIST 
 ═══════════════════════════════════════════════ 
 Visual Components: 
 
 26-layer exponential gradient cloud
 3 customizable moving average lines
 Golden Cross / Death Cross labels
 Real-time info panel with trend strength
 MA distance table
 
 Calculation Features: 
 
 6 MA types (EMA, SMA, WMA, VWMA, RMA, HMA)
 Momentum-based cloud coloring
 Smoothed trend strength scoring
 Conditional performance optimization
 
 Customization Options: 
 
 All MA lengths adjustable
 All colors customizable (when gradient disabled)
 Panel position (4 corners)
 Font sizes (5 options)
 Toggle any feature on/off
 
 Signal Features: 
 
 Anti-spam filter (configurable gap)
 Clean, non-overlapping labels
 Built-in alert conditions
 No repainting guarantee
 
 ═══════════════════════════════════════════════ 
  IMPORTANT DISCLAIMERS 
 ═══════════════════════════════════════════════ 
 
 This indicator is for  educational and informational purposes only 
 Not financial advice - always do your own research
 Past performance does not guarantee future results
 Use proper risk management - never risk more than you can afford to lose
 Test on paper/demo accounts before using with real money
 Combine with other analysis methods - no single indicator is perfect
 Works best in trending markets; less effective in choppy/sideways conditions
 Signals may perform differently in different timeframes and market conditions
 The indicator uses historical data for MA calculations - allow sufficient lookback period
 
 ═══════════════════════════════════════════════ 
  CREDITS & TECHNICAL INFO 
 ═══════════════════════════════════════════════ 
 Version:  2.0
 Release:  October 2025
 Special Thanks: 
 
 TradingView community for feedback and testing
 Pine Script documentation for technical reference
 
 ═══════════════════════════════════════════════ 
  SUPPORT & UPDATES 
 ═══════════════════════════════════════════════ 
 Found a bug?  Comment below with:
 
 Ticker symbol
 Timeframe
 Screenshot if possible
 Steps to reproduce
 
 Feature requests?  I'm always looking to improve! Share your ideas in the comments.
 Questions?  Check the tooltips first (hover over any input) - most answers are there. If still stuck, ask in comments.
 ═══════════════════════════════════════════════ 
 Happy Trading!  
Remember: The best indicator is the one you understand and use consistently. Take time to learn how the cloud behaves in different market conditions. Practice on paper before going live. Trade smart, manage risk, and may the trends be with you! 🚀
Bull vs Bear Volume(Simplified)Bull vs Bear Volume
After experimenting with countless volume-based indicators, I sought a simple way to visualize buying and selling pressure with just two lines—an indicator that stays closely coupled with price action.
I went through endless trial and error, building extremely complex volume indicators, only to find that in live trading, errors kept arising and the tools became more hindrance than help. Yet, to enhance the reliability of price indicators, a trustworthy volume measure is indispensable. Even after testing numerous community-shared indicators, I could not find one that met my needs.
This led me to a simple idea: process volume only when Close > Open for buying pressure, and Close < Open for selling pressure, while cleaning out the noise. By reflecting only the volume contributing to price movement, the indicator remains stable and intuitive.
Implementing this concept, I created an indicator that, among countless volume tools, stands out for its clarity and lack of extraneous functions. Users can freely adjust the sum periods of the Bull and Bear lines, choose line styles, and even enjoy the dynamic color changes when the lines cross.
If this indicator can provide even a little assistance in trading, then my purpose is fulfilled.
Scalping m15 indicator RovTradingScalping Indicator Combining UT Bot and Linear Regression Candles.
 
 UT Bot uses ATR Trailing Stop to identify entry points.
 Linear Regression Candles smooth price action and provide trend signals.
 The indicator is suitable for scalping trading on the M15 timeframe.
2 Bandas de Bollinguer (10-20) + 4 EMA  + 2 SMA 2 BB (10-20) + 4 EMA (35-50-100-200) + 2 SMA (75-100) configurable
byquan GP - SRSI Channel🔍 What Is It?
The GP – SRSI Channel is a momentum-based oscillator that measures the relative strength of price movements across multiple timeframes using the Stochastic RSI (SRSI) method.
Instead of using a single RSI line, this indicator analyzes four price inputs and four timeframes to create a dynamic channel that reflects the true market momentum — helping traders identify overbought and oversold zones with higher accuracy.
⚙️ How It Works
The indicator combines multiple layers of analysis to produce a smooth and reliable momentum channel.
1. Multi-Source RSI Calculation
It computes RSI and Stochastic RSI values for four different price sources:
Open
High
Low
Close
Each source generates its own SRSI value:
dsopen, dshigh, dslow, and dsclose
From these, it extracts:
starraymin: the lowest (most oversold) SRSI value
starraymax: the highest (most overbought) SRSI value
This forms a momentum range based on all price inputs.
2. Multi-Timeframe (MTF) Integration
To strengthen signal reliability, it repeats this SRSI analysis across four higher timeframes (configurable by user):
Parameter	Default Value	Meaning
Time 1	180 minutes	3-hour chart
Time 2	360 minutes	6-hour chart
Time 3	720 minutes	12-hour chart
Time 4	1D	Daily chart
Each timeframe produces its own set of minimum, maximum, and close SRSI values.
These are then combined and normalized to a 0–100 scale.
3. Normalization and Channel Plot
The combined results create three main lines:
Min Line (Green–Red gradient) → represents oversold strength
Max Line (Green–Red gradient) → represents overbought strength
Close Line (White) → represents average SRSI value
The area between the Min and Max lines is filled with a color gradient to form the SRSI Channel, visually showing momentum strength and range.
4. Signal & Alerts
Two alert levels are defined:
Alert Min Level → Default = 5 (oversold)
Alert Max Level → Default = 95 (overbought)
When:
oranmin ≤ Alert Min Level → Market is in an oversold state (potential reversal up).
oranmax ≥ Alert Max Level → Market is in an overbought state (potential reversal down).
When either of these thresholds is crossed, the indicator triggers:
A white square marker on the chart.
A custom alert with the message:
“SRSI Channel reached alert threshold (oranmax ≥ MaxLevel or oranmin ≤ MinLevel)”
🧭 How to Use It
🪄 Step 1 — Add to Chart
Copy the code into a new Pine Script in TradingView.
Click Add to chart.
You’ll see three lines and a colored channel between them.
⚙️ Step 2 — Adjust Inputs
Core SRSI Settings
Setting	Description
K, D	Smoothing factors for Stochastic RSI.
RSI Length	Number of bars for RSI calculation.
S Length	Period used for %K in Stochastic RSI.
Alert Min/Max Level	Defines oversold/overbought zones.
Multi-Timeframe Settings
Change Time 1 to Time 4 to suit your trading style:
Shorter timeframes → faster but more noise.
Longer timeframes → smoother, more reliable momentum.
📈 Step 3 — Interpret the Chart
Indicator Element	Meaning
🟩 Lower Boundary (Min)	Lowest SRSI reading → momentum weakness / possible rebound area
🟥 Upper Boundary (Max)	Highest SRSI reading → strong momentum / possible exhaustion
⚪ Middle Line (Close)	Average of all SRSI readings → overall momentum strength
🌈 Channel Fill	Visualizes balance between overbought and oversold levels
When the channel widens → market volatility and strength increase.
When it narrows → consolidation or low-momentum phase.
🔔 Step 4 — Alerts
You can create alerts using:
Condition: SRSI Extreme
Message: SRSI Channel reached alert threshold
Use this to receive notifications when the market hits extreme momentum levels (great for reversal traders).
💡 Trading Tips
✅ Combine with Supertrend, MACD, or Moving Averages for confirmation.
✅ Look for SRSI extremes aligning with price support/resistance for stronger reversal entries.
✅ Use different timeframe combinations (e.g., 1H–4H–12H–1D) depending on your trading style.
✅ Treat it as a momentum filter — not a direct buy/sell signal tool.
⚖️ Summary
The GP – SRSI Channel is a sophisticated multi-timeframe momentum indicator that helps traders visualize market strength and identify overbought or oversold conditions with exceptional clarity.
Features:
4 price sources × 4 timeframes = deep momentum insight
Dynamic, color-coded SRSI channel
Built-in alert system for extreme conditions
Clean and intuitive visual design
Best suited for:
Swing and position traders
Traders who use RSI/Stoch indicators
Those seeking to confirm entries with multi-timeframe momentum data
🎯 Understand the market’s true momentum — before it moves.
Swing Breakout Strategy ver 1Overview
A multi-confirmation swing strategy that seeks trend breakouts and adds three optional confluence modules: candlestick patterns, RSI/MACD regular divergences, and simple chart patterns (double top/bottom). Built for clarity, fast testing, and togglable debug markers.
Core Logic
Trend filter: SMA(50) vs SMA(200) + price vs SMA(21).
Breakout engine: Close breaks prior N-bar high/low (lookback configurable).
Momentum: Stochastic cross (optional view), MACD cross/zone, RSI regime (>50 or <50).
Volume: Above SMA(volume) filter.
Optional Confluence Modules
Candlestick analysis (enable/disable):
Bull/Bear Engulfing, Hammer, Shooting Star, Inside Bar (bull/bear flavors).
Divergence (enable/disable):
Regular divergences on RSI and MACD histogram using confirmed pivots (HH/LH or LL/HL).
Chart patterns (enable/disable):
Double Bottom (two similar lows + neckline break).
Double Top (two similar highs + neckline break).
Tolerance and pivot width are configurable.
Entries & Exits
Entry Long: Any of (Base Breakout + Trend + Momentum + Volume) OR enabled confluences (candles / divergence / pattern).
Entry Short: Symmetric logic for downside.
Risk management: Optional ATR-based stop loss and take profit (configurable length & multipliers).
Note: If you prefer confluences to be filters (AND), change the final buySignal/sellSignal lines accordingly.
Inputs (key)
SMA lengths (21/50/200), RSI length, Stochastic lengths & smoothing, MACD (12/26/9).
Breakout lookback, Volume SMA.
ATR exits (on/off, ATR length, SL/TP multipliers).
Toggles for Candlesticks, Divergences, Patterns, plus per-module debug markers.
Plots & Markers
Plots SMA 21/50/200.
Buy/Sell arrows on chart.
Optional debug markers for each condition (global-scope safe).
Divergence/pattern markers offset to the actual pivot/neckline bars.
Good Practices
Test on multiple timeframes and instruments; tune lookbacks and ATR multipliers.
Consider using the modules as filters in trending markets to reduce whipsaws.
Always forward-test and combine with position sizing.
Disclaimer
For educational purposes only. This is not financial advice. Trading involves risk.
Version & Credits
Pine Script® v6 — Strategy.
Developed by: Mohammed Bedaiwi.
Easy-Read MACD (Signals & Zones)This Pine Script transforms the traditional MACD into a much clearer, more visual momentum tool. It calculates the standard MACD (12, 26, 9) and then enhances readability using color cues and signal markers. The histogram bars dynamically change brightness to show whether momentum is strengthening or weakening — bright green/red means increasing strength, while faded colors mean losing momentum.
Background colors further simplify interpretation: green when MACD is above zero and above the signal (bullish), red when below zero and below the signal (bearish), and pale yellow in neutral or transition periods. Arrows clearly mark signal-line and zero-line crossovers, giving instant visual confirmation of bullish or bearish momentum shifts. The indicator also includes optional alerts for these events, so you can get notified when momentum flips even without watching the chart.
⚡ Quick-Read Sheet
Green background:
→ MACD > 0 and above signal — bullish momentum zone. Market trending up.
Red background:
→ MACD < 0 and below signal — bearish momentum zone. Market trending down.
Yellow background:
→ Transition or sideways momentum. Trend is uncertain — avoid strong directional trades.
Bright green histogram bars:
→ Positive momentum increasing — bulls gaining strength.
Faded green histogram bars:
→ Positive momentum weakening — rally may be losing steam.
Bright red histogram bars:
→ Negative momentum increasing — bears gaining control.
Faded red histogram bars:
→ Negative momentum weakening — possible bottoming or reversal setup.
Up arrow “MACD↑Sig”:
→ MACD crosses above signal line — bullish shift, potential buy or long continuation signal.
Down arrow “MACD↓Sig”:
→ MACD crosses below signal line — bearish shift, possible sell or short signal.
Up arrow “MACD>0”:
→ MACD crosses above zero line — confirms bullish trend bias.
Down arrow “MACD<0”:
→ MACD crosses below zero line — confirms bearish trend bias.
Easy-Read RSI (Signals & Zones)This custom Pine Script reimagines the traditional RSI to make signals easier to see and act on. It smooths the RSI line using an EMA, adds a signal line (a moving average of the RSI), and colors the background for quick visual reference. Green shading marks oversold conditions, red shading marks overbought conditions, and a faint yellow band highlights the neutral zone (45–55). Together, these visual cues help you instantly recognize momentum shifts and potential reversals without staring at raw numbers.
The script also plots bullish and bearish signal arrows: upward arrows appear when RSI crosses above its signal line or exits the oversold zone, while downward arrows mark when RSI crosses below its signal or falls from the overbought zone. It includes built-in TradingView alerts for each event, so you can receive notifications of key turning points automatically.
Quick-Read Guide for Easy-Read RSI
Green background: RSI is in the oversold zone (typically below 30). The market may be near a short-term bottom. Watch for an up arrow (OS↑) — this suggests a possible bullish reversal or entry point.
Red background: RSI is in the overbought zone (typically above 70). The market may be overextended to the upside. Watch for a down arrow (OB↓) — this can signal a bearish reversal or exit opportunity.
Yellow background: RSI is in the neutral zone (roughly between 45 and 55). This usually means the market is consolidating or lacks a clear direction. Signals in this area are weaker and often less reliable.
Up arrow (RSI↑MA): RSI crosses above its signal line — a sign of strengthening bullish momentum or trend continuation. Can be used as a buy or add signal when confirmed by price action.
Down arrow (RSI↓MA): RSI crosses below its signal line — a sign of weakening momentum or potential reversal to the downside. Can be used as a sell or reduce-exposure signal.
OS↑ arrow: RSI moves up out of the oversold zone. This indicates early recovery momentum and potential reversal from a dip.
OB↓ arrow: RSI moves down out of the overbought zone. This signals momentum cooling and possible reversal from a high.
Volume Pressure Oscillator (VPO)🔹 Core Logic
VPO Calculation:
The indicator measures price momentum weighted by volume, smoothed by EMA, and normalized within a dynamic range to highlight relative pressure extremes.
Signal Line:
A secondary EMA of VPO acts as a signal baseline for crossovers and trend confirmation.
Entry Triggers:
Zero-line Crossovers: Momentum shifts from bearish to bullish (or vice versa).
Signal Crossovers: Confirmation of sustained directional momentum.
Filters:
Volume Filter: Only trades when volume is above the moving average.
VWAP Slope Filter: Ensures trades align with intraday institutional flow.
Higher Timeframe VWAP: Confirms multi-timeframe directional bias.
RSI Filter: Avoids overextended entries.
Optional Divergence Confirmation: Adds precision in reversal environments.






















