Pullback & ATR Trailing Strategy※日本語は英文の次に記載あります。
Overview
This indicator combines short-term RSI pullback/rebound signals with long-term RSI divergence to visualize potential buy and sell opportunities.
It also plots ATR-based trailing stops and partial take-profit lines, making it suitable for day trading and short-term trading.
Alerts are triggered when signal conditions are met.
Key Features
Detect short-term RSI pullbacks/rebounds (default 6 periods)
Detect divergences on long-term RSI
Visualize buy/sell signals with labels
Display ATR-based trailing stop and partial take-profit lines
Trigger alerts when conditions are met
Settings Explanation
Short-term RSI Length (rsiShortLen) Period for short-term RSI used to detect pullbacks or rebounds
Pullback Threshold (levelLow) RSI level below which a buy signal is considered
Rebound Threshold (levelHigh) RSI level above which a sell signal is considered
Long-term Timeframe (longTF) Timeframe used for divergence detection
Long-term RSI Length (longRSILen) Period for RSI on the long-term timeframe, used for divergence detection
Pivot Width Left / Right (pivotLeft / pivotRight)
Determines how we detect swing highs/lows (peaks and valleys).
For example, with pivotLeft=3 and pivotRight=3, a bar is considered a swing high if it is higher than the 3 bars to its left and 3 bars to its right.
Larger numbers detect only bigger swings, smaller numbers also detect smaller swings.
ATR Length (atrLen) Period for ATR calculation for trailing stops
ATR Multiplier (atrMult) Multiplier for ATR to calculate trailing stop distance
Partial Take-Profit Multiplier (tpMult) Multiplier to calculate half-profit level based on swing amplitude
Green line (Long Trail / translucent green)
ATR-based trailing stop line for long positions.
Used as a stop-loss or trailing stop for open buy trades.
Dark green line shows partial take-profit (TP), translucent green shows trailing stop level.
Red line (Short Trail / translucent red)
ATR-based trailing stop line for short positions.
Used as a stop-loss or trailing stop for open sell trades.
Dark red line shows partial take-profit (TP), translucent red shows trailing stop level.
Note: TP lines indicate partial take-profit targets, while ATR trailing lines indicate stop-loss/trailing stop levels if the price moves against the position.
日本語説明ーーーーーーーーーーーーーーーーーーーーーーーーーーーー
概要
このインジケーターは、短期RSIの押し目/戻りシグナルと、長期足RSIによるダイバージェンスを組み合わせて、買い・売りのチャンスを可視化します。
さらに、ATRベースのトレールストップラインや半分利確ラインも表示し、デイトレードや短期トレードに最適化しています。
シグナル条件に一致した場合にアラートも作動します。
主な機能
短期RSI（デフォルト6期間）で押し目・戻りを検出
長期足RSIでのダイバージェンスを検出
BUY/SELLラベルでシグナルを視覚化
ATRベースのトレールライン・半分利確ラインを表示
条件一致時にアラート発動
各設定の説明
短期RSI期間 (rsiShortLen) デイトレ用の短期RSIの期間。押し目や戻りのシグナルに使用
押し目閾値 (levelLow) RSIが下回ったら買いシグナル判定に使用
戻り閾値 (levelHigh) RSIが上回ったら売りシグナル判定に使用
長期足 (longTF) ダイバージェンス判定用の長期足の時間軸
長期RSI期間 (longRSILen) 長期足で計算するRSIの期間。ダイバージェンス判定に使用
左右ピボット幅 (pivotLeft / pivotRight) 高値や安値を「スイングの山・谷」として判定する時に使う幅です。
例えば pivotLeft=3, pivotRight=3 の場合、「左に3本、右に3本のローソク足より高い/低い点」をスイングの頂点や底と見なします。
数値を大きくすると大きな波だけを拾い、小さくすると小さな波も拾いやすくなります。
ATR期間 (atrLen) トレールライン計算用ATRの期間
ATR倍率 (atrMult) トレールラインの距離をATRに掛ける倍率
半分利確倍率 (tpMult) 押し目/戻り幅に対して半分利確ラインを設定する倍率
緑の線（Long Trail / 半透明緑）
ATRベースのトレールストップラインです。
買いポジション中の損切り目安やトレーリングストップとして使います。
緑の濃い線は半分利確ライン（TP）、薄い緑の線はトレールストップの位置を示します。
赤い線（Short Trail / 半透明赤）
ATRベースのトレールストップラインです。
売りポジション中の損切り目安やトレーリングストップとして使います。
赤の濃い線は半分利確ライン（TP）、薄い赤の線はトレールストップの位置を示します。
補足：TP（Take Profit）線は半分利確の目安で、ATRトレールラインはポジションが逆行した時の損切り目安です。
M-oscillator
DMICROSS（Raw/EMACROSS VER.）DMI Cross (Raw/EMA Supported)
A practical and lightweight Directional Movement Index (DMI) cross indicator that triggers signals when +DI crosses –DI.
You can freely choose between Raw +DI/–DI or EMA-smoothed +DI/–DI as the source for crossover detection.
Optional features include Raw plots, background highlighting on signals, and a reference ADX line.
Features
Signal Types
BUY: +DI crosses above –DI
SELL: +DI crosses below –DI
Selectable Signal Source
Use Raw DI for faster but noisier signals
Use EMA DI for smoother, more stable signals
Visual Options
Toggle Raw +DI / –DI plots
Constant EMA plots of +DI and –DI for clarity
Optional ADX line for trend strength reference
Background shading on BUY/SELL signals
Inputs
ADX Smoothing (lensig): smoothing length for ADX
DI Length (lenDI): calculation length for +DI/–DI
EMA Length (lenEMA): EMA smoothing length for +DI/–DI
Display Options
Show/hide Raw +DI or –DI
Background tint on signals
Signal Source
Choose between Raw or EMA for crossover detection
Alerts
Four alert conditions are included:
BUY: +DI crossed above –DI (Raw)
SELL: +DI crossed below –DI (Raw)
BUY: +DI crossed above –DI (EMA)
SELL: +DI crossed below –DI (EMA)
Alerts only trigger for the currently selected signal source.
Tips
Use Raw DI for quick reversal detection (more noise).
Use EMA DI for trend-following with fewer false signals.
Combine with ADX filters or higher timeframe trend bias for best results.
Works across all markets and timeframes (adjust parameters as needed).
Disclaimer
This script is provided for educational and informational purposes only.
It does not constitute financial advice. Please trade responsibly.
Would you like me to also write a short “one-liner tagline” (like “Lightweight DMI crossover tool with Raw/EMA options”) for the TradingView title/summary field? That helps it look polished in the public library.
Phantom Trend IndicatorOverview
The Phantom Trend Indicator (PTI) is a streamlined tool for identifying trend direction and strength. It blends zigzag-based trend detection with a volume profile to display a histogram showing price distance from the Point of Control (POC). Six distinct colors highlight trend states, with background highlights for extreme price zones. Ideal for stocks, forex, crypto, and futures across any timeframe.
Features:
Trend Detection: Uses zigzag fractals to identify uptrends and downtrends.
Histogram Colors: Six colors for trend strength (low, high, extreme for up/down trends) or neutral (gray).
Dynamic Levels: Plots POC, Value Area Low (VAL), and High (VAH) via volume profile.
Background Colors: Highlights overbought (above VAH) or oversold (below VAL) zones.
Alerts: Signals new trends.
How It Works:
Trends: Zigzag fractals define trend ranges, with price position setting histogram colors (low, high, or extreme).
Histogram: Shows price deviation from POC.
Background: Colors extreme zones outside VAL/VAH.
This indicator builds on traditional trend detectors and volume profiles by integrating them into a single, cohesive tool. Unlike standard momentum indicators that rely on moving averages, PTI uses zigzag fractals for more responsive trend identification, reducing lag in volatile markets. Compared to basic volume profile scripts, it adds trend-based color coding and background alerts for extremes, providing clearer visual cues for overbought/oversold conditions. The six distinct colors indicate trend strength, and customizable thresholds allow fine-tuning for different assets and timeframes, enhancing adaptability. Traders benefit from combined momentum and liquidity insights, helping spot reversals or continuations more reliably—making PTI a valuable, standalone addition for both novice and experienced users.
Settings
Trend Detector: Toggle alerts, adjust zigzag sensitivity, and set thresholds for low-to-high and extreme color transitions.
Dynamic Levels: Configure volume profile period, multiplier, accuracy, value area percent, and ATR-based channel width.
Visuals: Customize POC, VAL, VAH, and area fill colors.
Read Histogram: Uptrend colors show early, strong, or overextended moves; downtrend colors indicate early, weakening, or oversold conditions; gray for consolidation.
Background: Monitor for overbought/oversold color-coded signals.
Tune: Adjust zigzag or period settings for your timeframe/asset.
Tips
Shorten period for intraday, extend for swing trading.
Pair with other indicators for confirmation.
Notes:
Requires sufficient chart data for volume profile.
Test settings for low-volatility assets.
For informational use only, not financial advice. Test thoroughly, and happy trading!
Student Wyckoff REI + Div#1) Enable divergences (calculateDivergence)
This is the main toggle switch.
When off, the indicator only counts TD REI. When enabled, it searches for regular divergences and draws labels/gives alerts.
When to turn on: during debugging/backtest of signals.
When to turn off: if you need a "clean" TD REI without overloading graphics.
#2) Settings profile (preset)
Four options:
* Scalp (1-5m) — catches frequent short waves.
* Intraday (15-30m) — Balanced for the inside of the day.
* Swing (H1-H4) — looking for thicker fractures.
* Custom (Own) — manual control of the parameters below.
The auto profile substitutes four numbers: L (lookbackLeft), R (lookbackRight), rangeLower, `rangeUpper'.
Example:
You are trading BTC at 5m — select Scalp. There will be more signals, they will appear faster (less delay in R), but there will be a little more "noise".
#3) lookbackLeft (L) and lookbackRight (R)
These are the "rules" by which a point is recognized as a local maximum/minimum (pivot).
* L — how many bars on the left are worse than the current one.
* R — how many bars are waiting on the right for confirmation.
The label is placed on the pivot bar, but it will appear only after R bars — this is the price for noise filtering.
Intuitive:
* More R → fewer false pivots, but the signal is later.
* Less R → the signal is earlier, but the "saws" are bigger.
* L regulates the "strictness" on the left: more L — less often, pivots are more significant.
Cases:
* "Too many are flying by, there are almost no marks" → decrease R (for example, 10 → 6).
* "Marks are falling on every small candle" → increase R (6 → 8/10) or L (5 → 7).
#4) rangeLower and rangeUpper
The filter is "at what distance" to take a pair of pivots for comparison (old vs new).
* rangeLower — the minimum distance (in bars) between two adjacent pivots, so as not to catch a "small saw".
* rangeUpper — the maximum distance so as not to "pull" the divergence through the half-trend.
Cases:
* At 1–5m, catch too many short "fake divas" → raise rangeLower from 5 to 8-12.
* On H1, the trend is long and the pair "does not fit" → raise the rangeUpper from 80 to 120-150.
How exactly is "regular" divergence considered
* Bullish (regular bullish):
The price makes LL (the second minimum is lower than the first), and TD REI makes HL (the second minimum is higher than the first).
A green "Bull" mark will appear on the indicator panel.
* Bearish (regular bearish):
Price makes HH, and TD REI makes LH. \ The "Bear" label is red.
Both points (two minima or two maxima) must be at a distance between rangeLower and rangeUpper bars. And each of these points is a confirmed pivot according to the rules of L/R.
Mini-configuration scenarios
##A) A 5m scalp on BTC
* Profile: Scalp (will give L=5, R=6, rangeLower≈6, rangeUpper≈60).
* Do you see a lot of rattling? Raise R to 7-8 and rangeLower to 8-10.
B) Intraday 15m by index/stock
* Profile: Intraday (L≈6, R≈8, rangeLower≈10, rangeUpper≈80).
* Are long-range divergences disappearing? Increase the rangeUpper to 100.
C) H1 swing by currency
* Profile: Swing (L≈8, R≈10, rangeLower≈16, rangeUpper≈100).
* Do you want even more "weighty" points? Raise L to 9-10 and R to 11-12.
How to "read" the delay and why the label appears later
The label is drawn on the pivot bar itself, but only after the R bars on the right have passed.
If R=8, you will see the label 8 bars after the pivot. This is normal: this way we make sure that there is no "higher/lower" on the right, which would break the pivot.
Diagnostics and quick fixes
* There are no divergences at all.
Check if divergences are enabled. Reduce R and L, expand rangeUpper.
* There are a lot of signals, but weak ones.
Increase R and rangeLower. You can also raise the L slightly.
* The tags are "late".
This is because of R. Reduce it, but keep in mind the compromise with quality.
* Tags are rarely "on topic" on trend.
On a strong unidirectional trend, regular divergences are rare, which is normal.
Try to raise rangeUpper (to "reach" the previous wave) or use REI zones/Duration as a context (for example, take divergences into account mainly after a long stay in the overbought/oversold zone).
sakuranboyⅦ(RSI Candles対応フル版)📌 sakuranboyⅦ (RSI Candles Full Version)
This indicator combines Anchor-based projection × ATR Light-Cone × RSI scale into a unified analytical tool.
You can freely switch between Price and RSI as the calculation source, and visualize the future volatility cone (Light-Cone) in an intuitive, geometric way.
🔹 Key Features
1. Calc Source Switching
Price Mode: Standard ATR calculation on price
RSI Mode: RSI converted into OHLC for ATR calculation (optional RSI Candles display)
2. Light-Cone ATR
Projects volatility cones from an Anchor point with Linear n or Diffusive √n growth modes
Supports 0.5c / 1.5c guide lines and cone fill shading
3. √n Stripes (Convergence Bands)
Draws m²-spaced stripes to detect resonance with pivots
Counts hits and displays them in a summary table
4. Fractal & Structure
Detects Pivot Highs and Lows
Identifies structure breaks via recent fractal levels
5. Bias Panel
Consolidates multiple conditions into a bias score table:
HTF Trend (EMA20/50)
Cone Z-value (positional bias)
Rail Touch (0.5c–1.0c zone persistence)
First fractal inside √n stripe
Structure breaks
Total score ±3 triggers Strong UP / Strong DOWN bias
6. Alerts
Triggered when Bias Score reaches thresholds
Alerts on Pivot High/Low inside √n convergence stripes
💡 How to Use
Switch to RSI mode to observe the internal structure of the market
Set the Anchor at a significant high or low → project the future cone
Watch for Pivot High/Low formation inside √n stripes
Confirm signals with Bias Panel scores for trade timing
⚠️ Designed with TradingView drawing limits in mind (500 future bars / 5000 past bars)
⚠️ This is an analytical/experimental tool and not financial advice
👉 The goal is to integrate Price and RSI into one analytical space,
capturing the interaction of time, price, and probability in geometric form.
Would you like me to also polish this into a shorter, marketing-style abstract (2–3 sentences) for the TradingView “Short Description” field?
Reversal Scalper – Adib NooraniThe Reversal Scalper is an indicator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic along with ATR bands, to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points.
🔹 Smooth, noise-reduced stochastic oscillator
🔹 Custom zones to highlight potential supply and demand imbalances
🔹 Non-repainting, compatible across all timeframes and assets
🔹 Visual-only tool — intended to support discretionary trading decisions
This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties.
📘 How to Use the Indicator Efficiently
For Reversal Trading:
Buy Setup
– When the blue line dips below the 20 level, wait for it to re-enter above 20.
– Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star).
– Enter above the pattern’s high, with a stop loss below its low.
Sell Setup
– When the blue line rises above the 80 level, wait for it to re-enter below 80.
– Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star).
– Enter below the pattern’s low, with a stop loss above its high.
🛡 Risk Management Guidelines
Risk only 0.5% of your capital per trade
Book 50% profits at a 1:1 risk-reward ratio
Trail the remaining 50% using price action or other supporting indicators
Stochastic Arrows Crossover [TED]This indicator plots the classic Stochastic Oscillator with customizable parameters (K, D, Smooth). It highlights bullish and bearish crossovers between %K and %D lines with small, subtle triangle arrows on the momentum panel. The arrows are color-coded with muted green (bullish) and muted red (bearish) for better visibility in dark mode. A middle band at 50 helps identify neutral momentum levels, alongside the standard overbought (80) and oversold (20) zones.
Ted
Advanced CRSI with Buy/Sell SignalsThis is a custom indicator based on the Connor's RSI (CRSI) concept. It's designed to identify overbought and oversold conditions to generate potential buy and sell signals.
How it works: The indicator is a composite of three components:
RSI of Price: A standard RSI calculation on the closing price.
RSI of Up/Down Streaks: An RSI on consecutive up or down closes, which helps measure momentum.
Percentage Rank of ROC: This component measures the rate of change and is used to identify strong moves.
Features:
Plots the combined CRSI value.
Visualizes buy and sell signals directly on the chart using colored triangles.
Includes adjustable oversold and overbought levels for customization.
Provides alerts for potential trading signals.
Ideal for: Swing traders and day traders looking for an oscillator to confirm entry and exit points.
Probability Density Function (rus)KZ Indicator (Probability Density Function)
KZ estimates price move probabilities using a normal distribution model. It automatically detects trend direction, volatility level, and strength, then visualizes the likelihood of reaching an upside or downside target.
✅ Auto-adjusts for different timeframes
✅ Plots green (long) and red (short) probability zones
✅ Shows suggested target, stop-loss, and limit order
✅ Ideal for identifying high-probability entry zones
Advanced Version Available
An advanced version of the KZ script is available with:
🎯 Precise entry/exit signals
🕵️ Liquidity zone detection
🔄 Multi-timeframe signal confirmation
🛑 Dynamic stop-loss based on volatility
🔔 Built-in alerts for signal triggers
📩 DM me to get access to the advanced script version.
✅ Автоматически адаптируется под таймфрейм
✅ Показывает зелёную (лонг) и красную (шорт) области вероятности
✅ Отображает рекомендуемые цель, стоп-лосс и лимитный ордер
✅ Отлично подходит для поиска точек входа с высокой вероятностью
Доступна продвинутая версия скрипта KZ, включающая:
🎯 Точные сигналы входа/выхода
🕵️ Обнаружение зон ликвидности
🔄 Подтверждение сигналов с других таймфреймов
🛑 Динамический стоп-лосс на основе волатильности
🔔 Алерты на сигналы
Volume Delta Oscillator with Divergence█ OVERVIEW
The Volume Delta Oscillator with Divergence is a technical indicator designed for the TradingView platform, helping traders identify potential trend reversal points and market momentum shifts through volume delta analysis and divergence detection. The indicator combines a smoothed volume delta oscillator with moving average-based signals, overbought/oversold levels, and divergence visualization, enhanced by configurable gradients and alerts for quick decision-making.
█ CONCEPT
The core idea of the indicator is to measure net buying or selling pressure through volume delta, smooth it for greater clarity, and detect divergences between price action and the oscillator. The indicator does not use external data, making it a compromise but practical tool for analyzing market dynamics based on available price and volume data. It provides insights into market dynamics, overbought/oversold conditions, and potential reversal points, with an attractive visual presentation.
█ WHY USE IT?
- Divergence detection: Identifies bullish and bearish divergences between price and the oscillator, signaling potential reversals.
- Volume delta analysis: Measures cumulative volume delta to assess buying/selling pressure, expressed as a percentage for cross-market comparability.
- Signal generation: Creates buy/sell signals based on overbought/oversold level crossovers, zero line crossovers, and moving average zero line crossovers.
- Visual clarity: Uses gradients, fills, and dynamic colors for intuitive chart analysis.
- Flexibility: Numerous settings allow adaptation to various markets (e.g., forex, crypto, stocks) and trading strategies.
█ HOW IT WORKS?
- Volume delta calculation: Computes net buying/selling pressure per candle as volume * (close - open) / (high - low), aggregated over a specified period (Cumulative Delta Length).
- Smoothing: Applies an EMA (Smoothing Length) to the cumulative delta percentage, creating a smoother oscillator (Delta Oscillator).
- Moving Average: Calculates an SMA (Moving Average Length) of the smoothed delta for trend confirmation (Moving Average (SMA)).
- Divergence detection: Identifies bullish and bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length).
- Normalization: Delta is expressed as a percentage of total volume, ensuring consistency across instruments and timeframes.
- Signals: Generates signals for:
Crossing the oversold level upward (buy) or overbought level downward (sell).
Crossing the zero line by the oscillator or moving average (buy/sell).
Bullish/bearish divergences, marked with labels.
- Visualization: Draws the oscillator and moving average with dynamic colors, gradient fills, and transparent bands and labels, with configurable overbought/oversold levels.
- Alerts: Built-in alerts for divergence detection, overbought/oversold crossovers, and zero line crossovers (both oscillator and moving average).
█ SETTINGS AND CUSTOMIZATION
- Cumulative Delta Length: Period for aggregating volume delta (default: 14).
- Smoothing Length (EMA): EMA length for smoothing the delta oscillator (default: 2). Higher values smooth the signal but reduce the number of generated signals.
- Moving Average Length (SMA): SMA length for the moving average line (default: 40). Higher values allow SMA to be analyzed as a trend indicator, but require adjusting overbought/oversold levels for MA, as longer MA oscillates less.
- Pivot Length (Left/Right): Number of candles for detecting pivot highs/lows in divergence calculations (default: 2). Higher values can reduce noise but introduce a delay equal to the set value.
- Overbought/Oversold Levels: Thresholds for the oscillator (default: 18/-18) and for the moving average (default: 10/-10). For the moving average, no arrows appear; instead, the band changes color from gray to green (oversold) or red (overbought), which can strengthen entry signals for delta.
- Signal Type: Select signals to display: "Overbought/Oversold", "Zero Line", "MA Zero Line", "All", or "None" (default: Overbought/Oversold).
- Colors and gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels.
- Transparency: Adjust gradient fill transparency (default: 70) and band/label transparency (default: 40) for consistent appearance.
- Visualizations: Enable/disable the moving average, gradients for zero/overbought/oversold levels, and gradient fills.
█ USAGE EXAMPLES
- Momentum analysis: Observe the delta oscillator above 0 for bullish momentum or below 0 for bearish momentum. The moving average (SMA), being smoothed, reacts more slowly and can confirm trend direction as a noise filter.
- Reversal signals: Look for buy triangles when the oscillator crosses the oversold level upward, especially when the moving average is below the MA oversold threshold. Similarly, look for sell triangles when crossing the overbought level downward, with the moving average above the MA overbought threshold. Divergence labels (bullish/bearish) indicate potential reversals.
- Divergence trading: Use bullish divergence labels (green) for potential buy opportunities and bearish labels (red) for sell opportunities, especially when confirmed by price action or other indicators.
- Customization: Adjust the cumulative delta length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals.
█ NOTES FOR USERS
- Combine the indicator with other tools, such as Fibonacci levels, RSI, or pivot points, to increase accuracy.
- Test different settings for cumulative delta length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
Volatility Momentum Score | Lyro RSVolatility Momentum Score | Lyro RS
Overview
The Volatility Momentum Score (VMS) combines price movement and volatility into a single, easy-to-read signal. Using z-scores, standard deviation bands, and flexible display modes, it helps traders identify trends, overbought/oversold conditions, and potential reversals quickly and effectively.
Key Features
Price + Volatility Blend
Tracks price action and volatility with separate z-scores and merges them into a unified momentum score.
Standard Deviation Bands
Upper and lower bands highlight extreme readings.
Adjustable multipliers allow for fine-tuning sensitivity.
Two Signal Modes
Trend Mode: Plots “Long” and “Short” signals when momentum crosses bands.
Reversion Mode: Colors the chart background when the score indicates stretched conditions.
Overbought & Oversold Alerts
▲ markers indicate oversold conditions.
▼ markers indicate overbought conditions.
Custom Colors
Four preset color themes or fully customizable bullish/bearish colors.
Clear Visuals
Dynamic line coloring based on momentum.
Candles recolored at signal points.
Background shading for quick visual assessment.
How It Works
Calculates z-scores for both price and volatility.
Blends the z-scores into a single average score.
Compares the score against dynamic upper and lower bands.
Triggers signals, markers, or background shading depending on the chosen display mode.
Practical Use
Ride trends: Follow Trend Mode signals to align with momentum.
Spot reversals: Watch ▲ and ▼ markers when markets are overextended.
Stay aware: Background shading highlights potentially overheated conditions.
Customization
Set lookback lengths for price, volatility, and bands.
Adjust band multipliers for more or less sensitive signals.
Choose between Trend or Reversion mode based on trading style.
Select color themes or create custom palettes.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other methods and proper risk management. The creators are not responsible for any financial decisions based on its signals.
Bullish_Mayank_entry_Indicator with AlertsThis indiucator gives buy signal alerts using EMAs, RSI & Weighted Moving Average of RSI & also multiframe analysis
MACD, RSI & Stoch + Divergences (RU)WARNING: This script is fully localized in Russian and is supported by the Russian-speaking community. All tooltips, settings, and descriptions are provided in Russian for maximum usability by Russian-speaking users.
This script combines MACD, RSI, and Stochastic oscillators with automatic detection and visualization of regular and hidden divergences. It highlights potential reversal and trend continuation points, draws divergence lines and labels, and provides flexible settings for trend analysis and oscillator calculation. The script also includes advanced session timing and daily change visualization for intraday trading.
Данный скрипт объединяет индикаторы MACD, RSI и Стохастик, а также автоматически определяет и визуализирует обычные и скрытые дивергенции. Он выделяет потенциальные точки разворота и продолжения тренда, строит линии и метки дивергенций, а также предоставляет гибкие настройки для анализа тренда и расчёта осцилляторов.
Скрипт дополнительно отображает временные торговые сессии и динамику дневных изменений для удобства внутридневной торговли. Все параметры снабжены подробными русскоязычными подсказками (тултипами), что делает работу с инструментом максимально понятной и удобной для русскоязычных пользователей.
Signal Generator: HTF EMA Momentum + MACDSignal Generator: HTF EMA Momentum + MACD
What this script does
This indicator combines a higher-timeframe EMA trend filter with a MACD crossover on the chart’s timeframe. The goal is to make MACD signals more selective by checking whether they occur in the same direction as the broader trend.
How it works
- On the higher timeframe, two EMAs are calculated (short and long). Their difference is used as a simple momentum measure.
- On the chart timeframe, the MACD is calculated. Crossovers are then filtered with two conditions:
1.They must align with the higher-timeframe EMA trend.
2.They must occur beyond a small “zero band” threshold, with a minimum distance between MACD and signal lines.
- When both conditions are met, the script can plot BUY or SELL labels. ATR is used only to shift labels up or down for visibility.
Visuals and alerts
- Histogram bars show whether higher-timeframe EMA momentum is rising or falling.
- MACD main and signal lines are plotted with optional scaling.
- Dotted lines show the zero band region.
- Optional large BUY/SELL labels appear when conditions are confirmed on the previous bar.
- Alerts can be enabled for these signals; they trigger once per bar close.
Notes and limitations
- Higher-timeframe values are only confirmed once the higher-timeframe candle has closed.
- Scaling factors affect appearance only, not the logic.
- This is an open-source study intended as a learning and charting tool. It does not provide financial advice or guarantee performance.
Chimera [theUltimator5]In myth, the chimera is an “impossible” hybrid—lion, goat, and serpent fused into one—striking to look at and formidable in presence. The word has come to mean a beautiful, improbable union of parts that shouldn’t work together, yet do.
Chimera is a dual-mode market context tool that blends a multi-input oscillator with classic ADX/DI trend strength, plus optional multi-timeframe “gap-line” tracking. Use it to visualize regime (trend vs. range), momentum swings around an adaptive midline, and higher timeframe (HTF) reference levels that auto-terminate on touch/cross.
Modes
1) Oscillator view
A smoothed composite of five common inputs—RSI, MACD (oscillator), Bollinger position, Stochastic, and an ATR/DI-weighted bias. Each is normalized to a comparable 0–100 style scale, averaged, and plotted as a candle-style oscillator (short vs. long smoothing, wickless for clarity). A dynamic midline with standard-deviation bands frames neutral → bearish/bullish zones. Colors ramp from neutral to your chosen Oversold/Overbought endpoints; consolidation can override to white.
Here is a description of the (5) signals used to calculate the sentiment oscillator:
RSI (14): Measures recent momentum by comparing average gains vs. losses. High = strength after advances; low = weakness after declines. (Z-score normalized to 0–100.)
MACD oscillator (12/26/9): Uses the difference between MACD and its signal (histogram) to gauge momentum shifts. Positive = bullish tilt; negative = bearish. (Z-score normalized.)
Bollinger Bands position (20, 2): Locates price within the bands (0–100 from lower → upper). Near upper suggests strength/expansion; near lower suggests weakness/contraction. (Then normalized.)
Stochastic (14, 3, 3): Shows where the close sits within the recent high-low range, smoothed via %D. Higher values = closes near highs; lower = near lows. (Scaled 0–100.)
ATR/DI composite (14): Volatility-weighted directional bias: (+DI − −DI) amplified by ATR as a % of price and its relative average. Positive = bullish pressure with volatility; negative = bearish. (Rank/scale normalized.)
All five are normalized and averaged into one composite, then smoothed (short/long) and compared to an adaptive midline with bands.
2) ADX view
Shows ADX, +DI, –DI with user-defined High Threshold. Transparency and color shift with regime. When ADX is strong, a directional “fire/ice” gradient fills the area between ADX and the high threshold, biased toward the dominant DI; when ADX is weak, a soft white fade highlights low-trend conditions.
HTF gap-line tracking (optional; both modes)
Detects “gap-like” reference levels after weak-trend consolidation flips into a sudden DI jump.
Anchors a line at the event bar’s open and auto-terminates upon first touch/cross (tick-size tolerance).
Auto-selects up to three higher timeframes suited to your chart resolution and prints non-overlapping lines with labels like 1H / 4H / 1D. Lower-priority duplicates are suppressed to reduce clutter.
Confirmation / repaint notes
Signals and lines finalize on bar close of the relevant timeframe.
HTF elements update only on the HTF bar close. During a forming bar they may appear transiently.
Line removal finalizes after the bar that produced the touch/cross closes.
Visual cues & effects
Oscillator candles: Open/High = long smoothing; Low/Close = short smoothing (no wicks).
Adaptive bands: Midline ± StdDev Multiplier × stdev of the blended series.
Consolidation tint: Optional white backdrop/candles when the consolidation condition is true (balance + low ADX).
Breakout VFX (optional): With strong DI/ADX and Bollinger breaks, renders a subtle “fire” flare above upper-band thrusts or “ice” shelf below lower-band thrusts.
Inputs (high-level)
Visual Style: Oscillator or ADX.
General (Oscillator): Lookback Period, Short/Long Smoothing, Standard Deviation Multiplier.
Color (Oscillator): Oversold/Overbought colors for gradient endpoints.
Plot (Oscillator): Show Candles, Show Slow MA Line, Show Individual Component (RSI/MACD/BB/Stoch/ATR).
Table (Oscillator): Show Information Table & position (compact dashboard of component values + status).
ADX / Gaps / VFX (both modes): ADX High Threshold, Highlight Backgrounds, Show Gap Labels, Visual Overlay Effects, and color choices for current-TF & HTF lines.
HTF selection: Automatic ladder (3 tiers) based on your chart timeframe.
Alerts (built-in)
Buy Signal – Primary: Oscillator exits oversold.
Sell Signal – Primary: Oscillator exits overbought.
Gap Fill Line Created (Any TF)
Gap Fill Line Terminated (Any TF)
ADX Crossed ABOVE/BELOW Low Threshold
ADX Crossed ABOVE/BELOW High Threshold
Consolidation Started
Alerts evaluate on the close of the relevant timeframe.
How to read it (quick guide)
Pick your lens: Oscillator for blended momentum around an adaptive midline; ADX for trend strength and DI skew.
Watch extremes & mean re-entries (Oscillator): Approaches to the top/bottom band show persistent momentum; returns toward the midline show normalization.
Check regime (ADX): Below Low = low-trend; above High = strong trend, with “fire/ice” bias toward +DI/–DI.
Track gap lines: Fresh labels mark new reference levels; lines auto-remove on first interaction. HTF lines add context but finalize only on HTF close.
The uniqueness from this indicator comes from multiple areas:
1. A unique multi-timeframe algorithm detects gap fill zones and plots them on the chart.
2. Visual effects for both visual modes were hand crafted to provide a visually stunning and intuitive interface.
3. The algorithm to determine sentiment uses a unique blend of weight and sensitivity adjustment to create a plot with elastic upper and lower bounds based off historical volatility and price action.
Information Flow Analysis[b🔄 Information Flow Analysis: Systematic Multi-Component Market Analysis Framework
SYSTEM OVERVIEW AND ANALYTICAL FOUNDATION
The Information Flow Kernel - Hybrid combines established technical analysis methods into a unified analytical framework. This indicator systematically processes three distinct data streams - directional price momentum, volume-weighted pressure dynamics, and intrabar development patterns - integrating them through weighted mathematical fusion to produce statistically normalized market flow measurements.
COMPREHENSIVE MATHEMATICAL FRAMEWORK
Component 1: Directional Flow Analysis
The directional component analyzes price momentum through three mathematical vectors:
Price Vector: p = C - O (intrabar directional bias)
Momentum Vector: m = C_t - C_{t-1} (bar-to-bar velocity)
Acceleration Vector: a = m_t - m_{t-1} (momentum rate of change)
Directional Signal Integration:
S_d = \text{sgn}(p) \cdot |p| + \text{sgn}(m) \cdot |m| \cdot 0.6 + \text{sgn}(a) \cdot |a| \cdot 0.3
The signum function preserves directional information while absolute values provide magnitude weighting. Coefficients create a hierarchy emphasizing intrabar movement (100%), momentum (60%), and acceleration (30%).
Final Directional Output: K_1 = S_d \cdot w_d where w_d is the directional weight parameter.
Component 2: Volume-Weighted Pressure Analysis
Volume Normalization: r_v = \frac{V_t}{\overline{V_n}} where \overline{V_n} represents the n-period simple moving average of volume.
Base Pressure Calculation: P_{base} = \Delta C \cdot r_v \cdot w_v where \Delta C = C_t - C_{t-1} and w_v is the velocity weighting factor.
Volume Confirmation Function:
f(r_v) = \begin{cases}
1.4 & \text{if } r_v > 1.2 \
0.7 & \text{if } r_v < 0.8 \
1.0 & \text{otherwise}
\end{cases}
Final Pressure Output: K_2 = P_{base} \cdot f(r_v)
Component 3: Intrabar Development Analysis
Bar Position Calculation: B = \frac{C - L}{H - L} when H - L > 0 , else B = 0.5
Development Signal Function:
S_{dev} = \begin{cases}
2(B - 0.5) & \text{if } B > 0.6 \text{ or } B < 0.4 \
0 & \text{if } 0.4 \leq B \leq 0.6
\end{cases}
Final Development Output: K_3 = S_{dev} \cdot 0.4
Master Integration and Statistical Normalization
Weighted Component Fusion: F_{raw} = 0.5K_1 + 0.35K_2 + 0.15K_3
Sensitivity Scaling: F_{master} = F_{raw} \cdot s where s is the sensitivity parameter.
Statistical Normalization Process:
Rolling Mean: \mu_F = \frac{1}{n}\sum_{i=0}^{n-1} F_{master,t-i}
Rolling Standard Deviation: \sigma_F = \sqrt{\frac{1}{n}\sum_{i=0}^{n-1} (F_{master,t-i} - \mu_F)^2}
Z-Score Computation: z = \frac{F_{master} - \mu_F}{\sigma_F}
Boundary Enforcement: z_{bounded} = \max(-3, \min(3, z))
Final Normalization: N = \frac{z_{bounded}}{3}
Flow Metrics Calculation:
Intensity: I = |z|
Strength Percentage: S = \min(100, I \times 33.33)
Extreme Detection: \text{Extreme} = I > 2.0
DETAILED INPUT PARAMETER SPECIFICATIONS
Sensitivity (0.1 - 3.0, Default: 1.0)
Global amplification multiplier applied to the master flow calculation. Functions as: F_{master} = F_{raw} \cdot s
Low Settings (0.1 - 0.5): Enhanced precision for subtle market movements. Optimal for low-volatility environments, scalping strategies, and early detection of minor directional shifts. Increases responsiveness but may amplify noise.
Moderate Settings (0.6 - 1.2): Balanced sensitivity for standard market conditions across multiple timeframes.
High Settings (1.3 - 3.0): Reduced sensitivity to minor fluctuations while emphasizing significant flow changes. Ideal for high-volatility assets, trending markets, and longer timeframes.
Directional Weighting (0.1 - 1.0, Default: 0.7)
Controls emphasis on price direction versus volume and positioning factors. Applied as: K_{1,weighted} = K_1 \times w_d
Lower Values (0.1 - 0.4): Reduces directional bias, favoring volume-confirmed moves. Optimal for ranging markets where momentum may generate false signals.
Higher Values (0.7 - 1.0): Amplifies directional signals from price vectors and acceleration. Ideal for trending conditions where directional momentum drives price action.
Velocity Weighting (0.1 - 1.0, Default: 0.6)
Scales volume-confirmed price change impact. Applied in: P_{base} = \Delta C \times r_v \times w_v
Lower Values (0.1 - 0.4): Dampens volume spike influence, focusing on sustained pressure patterns. Suitable for illiquid assets or news-sensitive markets.
Higher Values (0.8 - 1.0): Amplifies high-volume directional moves. Optimal for liquid markets where volume provides reliable confirmation.
Volume Length (3 - 20, Default: 5)
Defines lookback period for volume averaging: \overline{V_n} = \frac{1}{n}\sum_{i=0}^{n-1} V_{t-i}
Short Periods (3 - 7): Responsive to recent volume shifts, excellent for intraday analysis.
Long Periods (13 - 20): Smoother averaging, better for swing trading and higher timeframes.
DASHBOARD SYSTEM
Primary Flow Gauge
Bilaterally symmetric visualization displaying normalized flow direction and intensity:
Segment Calculation: n_{active} = \lfloor |N| \times 15 \rfloor
Left Fill: Bearish flow when N < -0.01
Right Fill: Bullish flow when N > 0.01
Neutral Display: Empty segments when |N| \leq 0.01
Visual Style Options:
Matrix: Digital blocks (▰/▱) for quantitative precision
Wave: Progressive patterns (▁▂▃▄▅▆▇█) showing flow buildup
Dots: LED-style indicators (●/○) with intensity scaling
Blocks: Modern squares (■/□) for professional appearance
Pulse: Progressive markers (⎯ to █) emphasizing intensity buildup
Flow Intensity Visualization
30-segment horizontal bar graph with mathematical fill logic:
Segment Fill: For i \in : filled if \frac{i}{29} \leq \frac{S}{100}
Color Coding System:
Orange (S > 66%): High intensity, strong directional conviction
Cyan (33% ≤ S ≤ 66%): Moderate intensity, developing bias
White (S < 33%): Low intensity, neutral conditions
Extreme Detection Indicators
Circular markers flanking the gauge with state-dependent illumination:
Activation: I > 2.0 \land |N| > 0.3
Bright Yellow: Active extreme conditions
Dim Yellow: Normal conditions
Metrics Display
Balance Value: Raw master flow output ( F_{master} ) showing absolute directional pressure
Z-Score Value: Statistical deviation ( z_{bounded} ) indicating historical context
Dynamic Narrative System
Context-sensitive interpretation based on mathematical thresholds:
Extreme Flow: I > 2.0 \land |N| > 0.6
Moderate Flow: 0.3 < |N| \leq 0.6
High Volatility: S > 50 \land |N| \leq 0.3
Neutral State: S \leq 50 \land |N| \leq 0.3
ALERT SYSTEM SPECIFICATIONS
Mathematical Trigger Conditions:
Extreme Bullish: I > 2.0 \land N > 0.6
Extreme Bearish: I > 2.0 \land N < -0.6
High Intensity: S > 80
Bullish Shift: N_t > 0.3 \land N_{t-1} \leq 0.3
Bearish Shift: N_t < -0.3 \land N_{t-1} \geq -0.3
TECHNICAL IMPLEMENTATION AND PERFORMANCE
Computational Architecture
The system employs efficient calculation methods minimizing processing overhead:
Single-pass mathematical operations for all components
Conditional visual rendering (executed only on final bar)
Optimized array operations using direct calculations
Real-Time Processing
The indicator updates continuously during bar formation, providing immediate feedback on changing market conditions. Statistical normalization ensures consistent interpretation across varying market regimes.
Market Applicability
Optimal performance in liquid markets with consistent volume patterns. May require parameter adjustment for:
Low-volume or after-hours sessions
News-driven market conditions
Highly volatile cryptocurrency markets
Ranging versus trending market environments
PRACTICAL APPLICATION FRAMEWORK
Market State Classification
This indicator functions as a comprehensive market condition assessment tool providing:
Trend Analysis: High intensity readings ( S > 66% ) with sustained directional bias indicate strong trending conditions suitable for momentum strategies.
Reversal Detection: Extreme readings ( I > 2.0 ) at key technical levels may signal potential trend exhaustion or reversal points.
Range Identification: Low intensity with neutral flow ( S < 33%, |N| < 0.3 ) suggests ranging market conditions suitable for mean reversion strategies.
Volatility Assessment: High intensity without clear directional bias indicates elevated volatility with conflicting pressures.
Integration with Trading Systems
The normalized output range facilitates integration with automated trading systems and position sizing algorithms. The statistical basis provides consistent interpretation across different market conditions and asset classes.
LIMITATIONS AND CONSIDERATIONS
This indicator combines established technical analysis methods and processes historical data without predicting future price movements. The system performs optimally in liquid markets with consistent volume patterns and may produce false signals in thin trading conditions or during news-driven market events. This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Users should combine this analysis with proper risk management, position sizing, and additional confirmation methods before making any trading decisions. Past performance does not guarantee future results.
Note: The term "kernel" in this context refers to modular calculation components rather than mathematical kernel functions in the formal computational sense.
As quantitative analyst Ralph Vince noted: "The essence of successful trading lies not in predicting market direction, but in the systematic processing of market information and the disciplined management of probability distributions."
— Dskyz, Trade with insight. Trade with anticipation.
CM_Williams_Vix_Fix (v5) + Optional InverseCM_Williams_Vix_Fix (v5) + Optional Inverse
This indicator is a modernized Pine v5 rewrite of Larry Williams’ classic Vix Fix, with an optional inverse mode to detect both capitulation lows (buy signals) and euphoric highs (sell signals).
🔎 What It Does
Vix Fix (Buy-side): Mimics the behavior of the VIX by detecting panic/fear spikes when price makes unusually deep lows relative to recent closes.
Inverse Vix Fix (Sell-side): Flips the logic to highlight euphoric/overbought spikes when price makes unusually high prints relative to recent closes.
Works on any timeframe or instrument — originally built for stocks/futures that don’t have their own VIX.
⚙️ Inputs
LookBack Period (pd): Number of bars to check for recent highs/lows.
Bollinger Band Length (bbl): Period for volatility bands.
Std Dev Multiplier (mult): Sensitivity of the bands.
Percentile Lookback (lb, ph, pl): Optional percentile thresholds for extra filters.
Show Range Lines (hp): Toggle percentile-based high/low markers.
Show StdDev Bands (sd): Toggle Bollinger-style envelopes.
Show Inverse (Sell) Version: Plots a red histogram for euphoric tops.
📊 Plots
Green Histogram: Vix Fix (fear/panic spikes).
Red Histogram: Inverse Vix Fix (euphoria spikes, optional).
Orange Lines: Percentile-based thresholds (optional).
Aqua Lines: Bollinger-style volatility bands (optional).
🧭 How to Use
Green Spikes (Buy Vix Fix): Potential market bottoms when fear is high.
Red Spikes (Inverse): Potential market tops when greed/euphoria is high.
Works best when combined with:
Trend filters (e.g. moving averages).
Market structure tools (e.g. support/resistance, FVGs, liquidity levels).
Other volatility/volume confirmations.
⚠️ Note: This is an indicator only (not a strategy). It highlights potential extremes in sentiment/volatility, but does not provide direct buy/sell orders. Always confirm with price action and risk management.
WaveTrend OscillatorWave trend Oscillator, similar to the other Cypher Oscillators, just that this oscillator is a little bit more refined less noise and a few better options for the money flow, but keeping the basic Structures and features. The only feature this does not have is the divergences
LRSlope - Linear Regression SlopeThis indicator attempts to predict the direction of the trend using least squares moving averages (LSMA).
The indicator's core purpose is to determine whether the price trajectory has a positive or negative slope and calculate directional changes. It also measures the strength of price momentum by calculating how strongly the slope.
The indicator calculates the slope of the curve for each bar and the EMA of these slopes for the specified period (Curve Length). It is consists of a histogram and two lines named "Average Slope"(white line) and "Simple" (green line).
The "Average Slope" is the simple moving average of the calculated EMA values.
" Simple " is SMA of calculated slopes.
The color of the histogram changes depending on the relative position of these two lines and zero line.
Simply put, the green bars of the histogram indicate an uptrend, blue bars indicate a horizontal or reverse movement, and red bars indicate a downtrend.
It is possible to see the strength of the momentum by the amount of change in the " Simple" (green line).
Supertrend Channel Histogram OscillatorThis histogram is based on the script "Supertrend Channels "
The idea of the indicator is to visually represent the interaction of price with several different supertrend channels of various lengths in an oscillator in order to make it much more clear to the trader how the longer trends are interacting with shorter trends of the price movement of an asset. I got this idea from the "Kurutoga Cloud" and "Kurutoga Histogram" by D7R which is based on the centerlines of 3 Donchian Channels, however after I started using the Supertrend Channel by LuxAlgo I found that it was a more reliable price range channel than a standard Donchian Channel and I made this indicator to accompany it.
This indicator plots a positive value above 0 when the price is above the centerline of the supertrend channel and a negative value below 0 when the price is below the centerline.
The first supertrend's length and multiple can be adjusted in the settings.
The given supertrend input is then doubled and quadrupled in both length and multiplication so that a supertrend histogram with the values of 3, 3 will be accompanied by 2 additional supertrend histograms with the values of 6, 6 and 12, 12.
The larger price trend histograms are clearly visible behind the short term supertrend channel's histogram, giving traders a balanced view of short and long term trends interacting. The less visible columns of the larger trend remain above or below the 0 line behind the more visible short term channel trend, helping to spot pullbacks within a larger trend.
Additionally, when the 3 separate histograms are all positive or all negative but the histogram columns are separating from each other this can indicate a potential trend exhaustion leading to reversal or pullback about to happen.
The overbought and oversold lines at 50 and -50 are representative primarily of the short term trend with above 50 or below -50 indicating that the price is pushing the boundary and potentially beginning a new short term supertrend in the opposite direction. If values do not noticably exceed these levels, then the current short term trend movement can be viewed as a pullback within a larger trend, with continuation potentially to follow.
I have had troubles converting the original code to v6 so this will be published here in v5 of pinescript to be used in conjunction with the original. I was intending to create a companion indicator for this oscillator that represents 3 supertrends with corresponding 2x and 4x calculations based on LuxAlgo's script, but I can't seem to get it to work correctly in v5.
For best visualization of the trends 3 LuxAlgo Supertrend channels with 2x and 4x values should be used in conjunction with each other to fully visualize the histogram.
Used in conjunction with other indicators this can be a very effective strategy to capture larger trend moves and pullbacks within trends, as well as warn of potential price trend exhaustion.
Volatility Cone Forecaster Lite [PhenLabs]📊 Volatility Cone Forecaster
Version: PineScript™v6
📌Description
The Volatility Cone Forecaster (VCF) is an advanced indicator designed to provide traders with a forward-looking perspective on market volatility. Instead of merely measuring past price fluctuations, the VCF analyzes historical volatility data to project a statistical “cone” that outlines a probable range for future price movements. Its core purpose is to contextualize the current market environment, helping traders to anticipate potential shifts from low to high volatility periods (and vice versa). By identifying whether volatility is expanding or contracting relative to historical norms, it solves the critical problem of preparing for significant market moves before they happen, offering a clear statistical edge in strategy development.
This indicator moves beyond lagging measures by employing percentile analysis to rank the current volatility state. This allows traders to understand not just what volatility is, but how significant it is compared to the recent past. The VCF is built for discretionary traders, system developers, and options strategists who need a sophisticated understanding of market dynamics to manage risk and identify high-probability opportunities.
🚀Points of Innovation
Forward-Looking Volatility Projection: Unlike standard indicators that only show historical data, the VCF projects a statistical cone of future volatility.
Percentile-Based Regime Analysis: Ranks current volatility against historical data (e.g., 90th, 75th percentiles) to provide objective context.
Automated Regime Detection: Automatically identifies and labels the market as being in a ‘High’, ‘Low’, or ‘Normal’ volatility regime.
Expansion & Contraction Signals: Clearly indicates whether volatility is currently increasing or decreasing, signaling shifts in market energy.
Integrated ATR Comparison: Plots an ATR-equivalent volatility measure to offer a familiar point of reference against the statistical model.
Dynamic Visual Modeling: The cone visualization directly on the price chart provides an intuitive guide for future expected price ranges.
🔧Core Components
Realized Volatility Engine: Calculates historical volatility using log returns over multiple user-defined lookback periods (short, medium, long) for a comprehensive view.
Percentile Analysis Module: A custom function calculates the 10th, 25th, 50th, 75th, and 90th percentiles of volatility over a long-term lookback (e.g., 252 days).
Forward Projection Calculator: Uses the calculated volatility percentiles to mathematically derive and draw the upper and lower bounds of the future volatility cone.
Volatility Regime Classifier: A logic-based system that compares current volatility to the historical percentile bands to classify the market state.
🔥Key Features
Customizable Lookback Periods: Adjust short, medium, and long-term lookbacks to fine-tune the indicator’s sensitivity to different market cycles.
Configurable Forward Projection: Set the number of days for the forward cone projection to align with your specific trading horizon.
Interactive Display Options: Toggle visibility for percentile labels, ATR levels, and regime coloring to customize the chart display.
Data-Rich Information Table: A clean, on-screen table displays all key metrics, including current volatility, percentile rank, regime, and trend.
Built-in Alert Conditions: Set alerts for critical events like volatility crossing the 90th percentile, dropping below the 10th, or switching between expansion and contraction.
🎨Visualization
Volatility Cone: Shaded bands projected onto the future price axis, representing the probable price range at different statistical confidence levels (e.g., 75th-90th percentile).
Color-Coded Volatility Line: The primary volatility plot dynamically changes color (e.g., red for high, green for low) to reflect the current volatility regime, providing instant context.
Historical Percentile Bands: Horizontal lines plotted across the indicator pane mark the key percentile levels, showing how current volatility compares to the past.
On-Chart Labels: Clear labels automatically display the current volatility reading, its percentile rank, the detected regime, and trend (Expanding/Contracting).
📖Usage Guidelines
Setting Categories
Short-term Lookback: Default: 10, Range: 5-50. Controls the most sensitive volatility calculation.
Medium-term Lookback: Default: 21, Range: 10-100. The primary input for the current volatility reading.
Long-term Lookback: Default: 63, Range: 30-252. Provides a baseline for long-term market character.
Percentile Lookback Period: Default: 252, Range: 100-1000. Defines the period for historical ranking; 252 represents one trading year.
Forward Projection Days: Default: 21, Range: 5-63. Determines how many bars into the future the cone is projected.
✅Best Use Cases
Breakout Trading: Identify periods of deep consolidation when volatility falls to low percentile ranks (e.g., below 25th) and begins to expand, signaling a potential breakout.
Mean Reversion Strategies: Target trades when volatility reaches extreme high percentile ranks (e.g., above 90th), as these periods are often unsustainable and lead to contraction.
Options Strategy: Use the cone’s projected upper and lower bounds to help select strike prices for strategies like iron condors or straddles.
Risk Management: Widen stop-losses and reduce position sizes when the indicator signals a transition into a ‘High’ volatility regime.
⚠️Limitations
Probabilistic, Not Predictive: The cone represents a statistical probability, not a guarantee of future price action. Extreme, unpredictable news events can drive prices outside the cone.
Lagging by Nature: All calculations are based on historical price data, meaning the indicator will always react to, not pre-empt, market changes.
Non-Directional: The indicator forecasts the *magnitude* of future moves, not the *direction*. It should be paired with a directional analysis tool.
💡What Makes This Unique
Forward Projection: Its primary distinction is projecting a data-driven, statistical forecast of future volatility, which standard oscillators do not do.
Contextual Analysis: It doesn’t just provide a number; it tells you what that number means through percentile ranking and automated regime classification.
🔬How It Works
1. Data Calculation:
The indicator first calculates the logarithmic returns of the asset’s price. It then computes the annualized standard deviation of these returns over short, medium, and long-term lookback periods to generate realized volatility readings.
2. Percentile Ranking:
Using a 252-day lookback, it analyzes the history of the medium-term volatility and determines the values that correspond to the 10th, 25th, 50th, 75th, and 90th percentiles. This builds a statistical map of the asset’s volatility behavior.
3. Cone Projection:
Finally, it takes these historical percentile values and projects them forward in time, calculating the potential upper and lower price bounds based on what would happen if volatility were to run at those levels over the next 21 days.
💡Note:
The Volatility Cone Forecaster is most effective on daily and weekly charts where statistical volatility models are more reliable. For lower timeframes, consider shortening the lookback periods. Always use this indicator as part of a comprehensive trading plan that includes other forms of analysis.
Kerzen-Zähler über/unter EMADieses Skript zeigt die Anzahl an Zeitperioden ober/unterhalb eines individuellen EMAs an.
