MA20 ATR Trend Failure FilterA volatility-adaptive filter designed to identify early trend invalidation.
This indicator combines a 20-period Moving Average (MA20) with Average True Range (ATR) to dynamically define a lower volatility boundary.
When price closes below this boundary, it signals that the current trend is no longer valid and risk is increasing.
Core Concept(核心思想)
MA defines the trend baseline
ATR measures current market volatility
MA − k × ATR forms a dynamic risk threshold
A close below this threshold = trend failure
👉 中文补充:
这不是反转指标,而是趋势失效过滤器,用于避免在趋势已经被破坏后继续持仓或加仓。
How It Works
Calculate MA20 as the trend reference
Calculate ATR(14) as volatility proxy
Build adaptive bands:
Upper Band = MA20 + k × ATR
Lower Band = MA20 − k × ATR
If close < Lower Band, trend is considered failed
The ATR multiplier k automatically adjusts the tolerance based on volatility, avoiding rigid fixed-percentage rules.
Visual Elements
Yellow line: MA20
Green band: MA20 + k × ATR
Red band: MA20 − k × ATR (key risk boundary)
Red triangle + “FAIL” label: Trend failure signal
Optional background shading to highlight risk zones
Typical Use Cases
Trend-following strategies (exit / reduce exposure)
Breakout strategies (filter false continuation)
Risk management overlay (non-intrusive, no repaint)
Combine with HMA, SuperTrend, structure-based entries
👉 中文补充:
非常适合作为**“不该再拿”的客观判断条件**,而不是频繁交易信号。
Why This Indicator
Volatility-adaptive (ATR-based)
No future data, no repaint
Simple logic, strong risk control
Works across stocks, crypto, futures, indices
This tool is designed to answer one question only:
Is the current trend still valid?
Parameters
MA Length (default: 20)
ATR Length (default: 14)
ATR Multiplier k (default: 0.8)
Lower k → stricter risk control
Higher k → more tolerance, fewer false signals SSE:600595
带和通道
Market + Direction + Entry + Hold + Exit v1.5 FINALOverview
This script is a complete trend-based trading framework designed to filter market conditions, determine directional bias, detect high-quality pullback entries, manage active trades, and identify trend-weakening exit points.
It is optimized for NQ futures, Gold (XAUUSD), and Bitcoin, with adaptive parameters for each asset.
The logic focuses on trading only when conditions are favorable, aligning entries with the primary trend, and avoiding low-probability setups.
1. Market Condition Filter
Before any signal appears, the script checks whether the market is active using three conditions:
ATR compared to ATR moving average (volatility condition)
Volume compared to average volume (liquidity condition)
Price distance from VWAP (suppression of mean-reversion environments)
A trade environment is considered active when at least two of these three conditions are positive.
2. Trend Direction Filter
Directional bias is defined by:
EMA21 relative to EMA55
Price relative to VWAP
Heikin-Ashi structure
When these conditions align, the script switches into long-only or short-only mode.
No counter-trend signals are displayed.
3. Entry Logic (L, L2, L3 and S, S2, S3)
The system identifies pullback entries within a confirmed trend.
Long entries require:
Uptrend confirmation
Price dipping toward EMA21 or EMA55
A constructive Heikin-Ashi candle
Market environment active
Short entries mirror the same structure in bearish conditions.
Re-entries (L2, L3, S2, S3) are given only if the trend remains intact after the first entry.
4. Hold Logic
A hold signal appears if momentum remains aligned with the trend.
Momentum is evaluated using the Stochastic indicator (K and D lines).
5. Exit Logic
An exit signal appears when:
The recent structural low (for longs) or high (for shorts) is broken, and
The EMA slope indicates weakening trend strength
This combination identifies high-probability trend exhaustion.
How to Use
Add the script to your chart.
Select an asset preset (NQ, GOLD, BTC).
Wait for the market to be active.
Follow the entry signals (L, L2, L3 or S, S2, S3).
Hold signals help confirm continuation.
Exit signals indicate potential trend reversal or weakness.
Feature Summary
Market environment filter
Trend direction filter
Pullback-based entry system
Multi-stage re-entry framework
Momentum-based hold signal
Structure-based exit
Asset-adaptive parameters
Clean chart visualization
Disclaimer
This script is for research and educational use.
It does not constitute financial advice.
Always backtest before using in live markets.
개요
이 스크립트는 시장 상태 필터링, 추세 방향 판단, 고품질 눌림목 진입, 보유 판단, 추세 약화 기반 청산까지 모두 포함하는 완전한 트레이딩 프레임워크입니다.
NQ, 골드(XAUUSD), 비트코인에 맞게 최적화되어 있습니다.
1. 시장 필터
다음 세 가지 중 두 가지 이상이 충족될 때만 매매 환경을 ‘활성’으로 판단합니다.
ATR 기준 변동성 체크
거래량 활성도 체크
가격의 VWAP 거리 체크
2. 방향(추세) 필터
다음 조건을 기반으로 상승·하락 추세를 결정합니다.
EMA21 vs EMA55
가격 vs VWAP
Heikin-Ashi 구조
이 조건이 일치할 때만 롱 전용 또는 숏 전용 모드로 진입합니다.
3. 진입 로직
추세가 유지되는 상태에서 EMA21 또는 EMA55까지 눌림이 나올 때
L 또는 S 신호를 제공합니다.
추세가 유지되면 L2/L3, S2/S3 재진입 신호가 추가로 발생합니다.
4. 보유(Hold)
모멘텀이 추세 방향과 일치할 때 보유 신호를 제공합니다.
5. 청산(Exit)
다음 두 조건이 동시에 나타날 때 청산 신호가 표시됩니다.
직전 구조(스윙)가 붕괴될 때
EMA 기울기가 약화될 때
사용 방법
차트에 스크립트를 추가합니다.
자산 프리셋(NQ, GOLD, BTC)을 선택합니다.
시장이 활성일 때만 신호를 참고합니다.
L/S 진입 신호와 보유/청산 신호를 활용해 매매 흐름을 관리합니다.
Supply and Demand Zones [BigBeluga]🔵 OVERVIEW
The Supply and Demand Zones indicator automatically identifies institutional order zones formed by high-volume price movements. It detects aggressive buying or selling events and marks the origin of these moves as demand or supply zones. Untested zones are plotted with thick solid borders, while tested zones become dashed, signaling reduced strength.
🔵 CONCEPTS
Supply Zones: Identified when 3 or more bearish candles form consecutively with above-average volume. The script then searches up to 5 bars back to find the last bullish candle and plots a supply zone from that candle’s low to its low plus ATR.
Demand Zones: Detected when 3 or more bullish candles appear with above-average volume. The script looks up to 5 bars back for a bearish candle and plots a demand zone from its high to its high minus ATR.
Volume Weighting: Each zone displays the cumulative bullish or bearish volume within the move leading to the zone.
Tested Zones: If price re-enters a zone and touches its boundary after being extended for 15 bars, the zone becomes dashed , indicating a potential weakening of that level.
Overlap Logic: Older overlapping zones are removed automatically to keep the chart clean and only show the most relevant supply/demand levels.
Zone Expiry: Zones are also deleted after they’re fully broken by price (i.e., price closes above supply or below demand).
🔵 FEATURES
Auto-detects supply and demand using volume and candle structure.
Extends valid zones to the right side of the chart.
Solid borders for fresh untested zones.
Dashed borders for tested zones (after 15 bars and contact).
Prevents overlapping zones of the same type.
Labels each zone with volume delta collected during zone formation.
Limits to 5 zones of each type for clarity.
Fully customizable supply and demand zone colors.
🔵 HOW TO USE
Use supply zones as potential resistance levels where sell-side pressure could emerge.
Use demand zones as potential support areas where buyers might step in again.
Pay attention to whether a zone is solid (untested) or dashed (tested).
Combine with other confluences like volume spikes, trend direction, or candlestick patterns.
Ideal for swing traders and scalpers identifying key reaction levels.
🔵 CONCLUSION
Supply and Demand Zones is a clean and logic-driven tool that visualizes critical liquidity zones formed by institutional moves. It tracks untested and tested levels, giving traders a visual edge to recognize where price might bounce or reverse due to historical order flow.
Momentum Burst Pullback System v66 * Detects **momentum “bursts”** using:
* **Keltner breakout** (high above upper band for long, low below lower band for short), and/or
* **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign).
* Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst.
* Marks bursts with **K** (Keltner) and **M** (MACD) labels:
* Core burst labels use one color, extension labels use a different color.
* Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context).
* Adds **structure-based invalidation**:
* On a new **core burst**, it locks the most recent **confirmed swing** level (pivot):
* Long: locks the last confirmed **swing low**.
* Short: locks the last confirmed **swing high**.
* After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped).
* Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars:
* Long pullback requires a sequence of **lower highs** and price still below the burst high.
* Short pullback requires **higher lows** and price still above the burst low.
* Optional background shading highlights pullback bars.
* On pullback bars, plots **static TP/SL crosses** using ATR:
* Anchor is the pullback bar’s high (long) or low (short).
* TP/SL are ± ATR * multiple.
* TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme.
* Maintains a **state-machine entry + trailing stop**:
* Sets a “waiting” trigger on pullback.
* Enters when price breaks the trigger (high break for long, low break for short).
* Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP.
* Optionally draws the trailing stop as horizontal line segments.
* Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
rj_temu_pair_tradea simple "temu" implementation of a pair trade
see robotjames.substack.com for details.
Macro-Filtered Volatility Breakout (MVB)策略簡介:
這是一套專門針對高 Beta 值資產(如 ETH, SOL 等山寨幣)設計的趨勢跟隨系統。我們解決了傳統突破策略在山寨幣市場中「假突破(False Breakout)」過多的痛點。
核心邏輯:
市場體制過濾(Regime Filtering): 加密貨幣市場具有高度的相關性。本策略引入比特幣(BTC)作為**「宏觀市場指標」**,只有當 BTC 處於確立的多頭趨勢時,才允許執行山寨幣的做多信號。這有效規避了「大盤崩盤時,小幣假突破」的系統性風險。
動態波動率通道: 我們不使用固定價格止損,而是採用肯特納通道(Keltner Channels)。這利用 ATR(平均真實波幅)動態調整進出場區間:在市場平靜時通道收窄以敏銳捕捉啟動點,在劇烈波動時通道放寬以避免被雜訊洗出場。
風控特徵:
系統性避險: 透過 BTC 趨勢濾網,在熊市或大盤回調期間自動空手,降低回撤。
獲利奔跑(Let Profits Run): 採用基於波動率的移動止損(Volatility Trailing Stop),在大趨勢中能吃到完整的魚身。
免責聲明:
以上策略分享僅供學術研究、回測實驗與邏輯參考,並不代表對未來獲利的保證。 過往的回測績效不代表未來的行情表現。本文內容不構成任何投資建議。加密貨幣交易具有高度風險,使用者應自行評估風險承受能力並自負盈虧,本人不承擔任何因使用此策略而產生的資金損失。
Strategy Overview
This is a trend-following system specifically designed for high-beta assets, such as altcoins like ETH, SOL, and similar cryptocurrencies. The strategy addresses a key weakness of traditional breakout systems in altcoin markets—the high frequency of false breakouts.
Core Logic
Market Regime Filtering
The cryptocurrency market exhibits strong cross-asset correlation. This strategy uses Bitcoin (BTC) as a macro market indicator. Long signals on altcoins are only allowed when BTC is in a confirmed bullish trend, effectively avoiding the systemic risk of altcoin false breakouts during broader market downturns.
Dynamic Volatility Channels
Instead of fixed-price stop losses, the strategy employs Keltner Channels, which adapt dynamically using ATR (Average True Range).
During low-volatility conditions, the channel narrows to sensitively capture early trend initiation.
During high-volatility environments, the channel widens to prevent premature exits caused by market noise.
Risk Management Features
Systematic Risk Avoidance
By applying BTC trend filtering, the strategy automatically stays in cash during bear markets or major market pullbacks, significantly reducing drawdowns.
Let Profits Run
A volatility-based trailing stop is used to maximize profit capture during strong directional trends, allowing positions to benefit from the full trend structure.
Disclaimer
The strategy presented above is for academic research, backtesting experiments, and logical reference only. It does not constitute a guarantee of future performance. Past backtest results are not indicative of future outcomes. This content does not represent any investment advice. Cryptocurrency trading involves substantial risk, and users should assess their own risk tolerance and assume full responsibility for any gains or losses. The author bears no liability for any financial losses incurred from the use of this strategy.
Bollinger Bands Forecast with Signals (Zeiierman)█ Overview
Bollinger Bands Forecast with Signals (Zeiierman) extends classic Bollinger Bands into a forward-looking framework. Instead of only showing where volatility has been, it projects where the basis (midline) and band width are likely to drift next, based on recent trend and volatility behavior.
The projection is built from the measured slopes of the Bollinger basis, the standard deviation (or ATR, depending on the mode), and a volatility “breathing” component. On top of that, the script includes an optional projected price path that can be blended with a deterministic random walk, plus rejection signals to highlight failed band breaks.
█ How It Works
⚪ Bollinger Core
The script first computes standard Bollinger Bands using the selected Source, Length, and Multiplier:
Basis = SMA(Source, Length)
Band width = Multiplier × StDev(Source, Length)
Upper/Lower = Basis ± Width
This remains the “live” (non-forecast) structure on the chart.
⚪ Trend & Volatility Slope Estimation
To project forward, the indicator measures directional drift and volatility drift using linear regression differences:
Basis slope from the Bollinger basis
StDev slope from the Bollinger deviation
ATR slope for ATR-based projection mode
These slopes drive the forecast bands forward, reflecting the market’s recent directional and volatility regime.
⚪ Projection Engine (Forecast Bands)
At the last bar, the indicator draws projected basis, upper, and lower lines out to Forecast Bars. The projected basis can be:
Trend (straight linear projection)
Curved (ease-in/out transition toward projected endpoints)
Smoothed (extra smoothing on projected basis/width)
⚪ Price Path Projection + Optional Random Walk
In addition to projecting the bands, the script can draw a price forecast path made of a small number of zigzag swings.
Each swing targets a point offset from the projected basis by a multiple of the projected half-width (“width units”).
Decay gradually reduces swing size as the forecast deepens.
The Optional Random Walk Blend adds a deterministic drift component to the zigzag path. It’s not true randomness; it’s a stable pseudo-random sequence, so the drawing doesn’t jump around on refresh, while still adding “natural” variation.
⚪ Rejection Signals
Signals are based on failed attempts to break a band:
Bear Signal (Down): price tries to push above the upper band, then falls back inside, while still closing above the basis.
Bull Signal (Up): price tries to push below the lower band, then returns back inside, while still closing below the basis.
█ How to Use
⚪ Forward Support/Resistance Corridors
Treat the projected upper/lower bands as a future volatility envelope, not a guarantee:
The upper projection ≈ is likely a resistance level if the regime persists
The lower projection ≈ is likely a support level if the regime persists
Best used for trade planning, targets, and “where price could travel” under similar conditions.
⚪ Regime Read: Trend + Volatility
The projection shape is informative:
Rising basis + expanding width → trend with increasing volatility (needs wider stops / more caution)
Flat basis + compressing width → contraction regime (often precedes expansion)
⚪ Signals for Mean-Reversion / Failed Breakouts
The rejection markers are useful for fade-style setups:
A Down signal near/after upper-band failure can imply rotation back toward the basis.
An Up signal near/after lower-band failure can imply snap-back toward the basis.
With MA filtering enabled, signals are constrained to align with the broader bias, helping reduce chop-driven noise.
█ Related Publications
Donchian Predictive Channel (Zeiierman)
█ Settings
⚪ Bollinger Band
Controls the live Bollinger Bands on the chart.
Source – Price used for calculations.
Length – Lookback period; higher = smoother, lower = more reactive.
Multiplier – Bandwidth; higher = wider bands, lower = tighter bands.
⚪ Forecast
Controls the forward projection of the Bollinger Bands.
Forecast Bars – How far into the future the bands are projected.
Trend Length – Lookback used to estimate trend and volatility slopes.
Forecast Band Mode – Defines projection behavior (linear, curved, breathing, ATR-based, or smoothed).
⚪ Price Forecast
Controls the projected price path inside the bands.
ZigZag Swings – Number of projected oscillations.
Amplitude – Distance from basis, measured in bandwidth units.
Decay – Shrinks swings further into the forecast.
⚪ Random-Walk
Adds controlled randomness to the price path.
Enable – Toggle random-walk influence.
Blend – Strength of randomness vs. zigzag.
Step Size – Size of random steps (band-width units).
Decay – Reduces randomness as the forecast deepens.
Seed – Changes the (stable) random sequence.
⚪ Signals
Controls rejection/mean-reversion signals.
Show Signals – Enable/disable signal markers.
MA Filter (Type/Length) – Filters signals by trend direction.
-----------------
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.
Rainbow MA Width█ OVERVIEW
Rainbow MA Width is a companion indicator for Rainbow MA Cloud. It displays ribbon width as a normalized Z-Score, allowing traders to visualize trend momentum expansion and contraction relative to recent history.
█ CONCEPTS
Z-Score Normalization:
Rather than displaying raw width values (which vary by asset and timeframe),
this indicator normalizes the ribbon width using Z-Score calculation:
Z-Score = (Current Width - Average Width) / Standard Deviation
Z-Score Interpretation:
• 0 = Average width (mean)
• +1 to +2 = Expanding (above average, strong trend)
• -1 to -2 = Contracting (below average, weakening trend)
• Beyond ±2 = Extreme (statistical outlier, potential reversal)
Width Calculation Modes:
• Outer — Distance between fastest and slowest MA: |MA1 - MA8|
• Average Gap — Mean of all adjacent MA gaps
• Total Gap — Sum of all adjacent MA gaps
█ FEATURES
1 — Width Mode Selection
Three methods to calculate ribbon width.
"Outer" recommended for aligned trends.
2 — Z-Score Period
Configurable lookback for mean and standard deviation.
Default 20 bars; increase for smoother, less reactive readings.
3 — Zone Fill Coloring
Cyan fill when expanding (Z > 0).
Orange fill when contracting (Z < 0).
Yellow fill for extreme values (|Z| > 2) as warning.
4 — Alignment Background
Green background during bullish alignment.
Red background during bearish alignment.
Synced with Rainbow MA Cloud for consistency.
5 — Reference Lines
Horizontal lines at 0 (mean), ±1σ, and ±2σ levels.
Provides clear visual boundaries for interpretation.
6 — Raw Width Display
Optional secondary line showing original width percentage.
Useful for comparing normalized vs absolute values.
█ HOW TO USE
Trend Confirmation:
• Z-Score rising above 0 confirms trend acceleration
• Z-Score staying above +1 indicates sustained strong momentum
• Use alongside alignment background for confluence
Reversal Warning:
• Z-Score exceeding +2 suggests overextension (yellow warning zone)
• Z-Score dropping below -2 indicates extreme contraction
• Extreme readings often precede trend reversals or consolidation
Entry Timing:
• Enter trends when Z-Score crosses above 0 (expansion beginning)
• Avoid entries when Z-Score is at extreme highs (potential exhaustion)
• Consider exits when Z-Score peaks and begins declining
█ LIMITATIONS
• Z-Score is relative to lookback period; different periods give different readings
• Extreme zones (±2) are statistical guides, not guarantees
• Best used in conjunction with Rainbow MA Cloud for full context
█ ALERTS
Four built-in alert conditions:
• Z-Score crosses above/below zero
• Z-Score enters extreme high/low zones (±2)
Rainbow MA Cloud█ OVERVIEW
Rainbow MA Cloud displays 8 Moving Averages as a gradient-colored cloud to visualize trend direction and strength. The "rainbow" effect shows momentum through ribbon width, while perfect MA alignment signals strong trending conditions.
█ CONCEPTS
The indicator uses 8 MAs with Fibonacci-based default lengths (8, 13, 21, 34, 55, 89, 144, 233) to create a layered view of price momentum across multiple timeframes.
Perfect Alignment Detection:
• Bullish Alignment — All 8 MAs in ascending order (MA1 > MA2 > ... > MA8)
Indicates strong uptrend with momentum across all timeframes
• Bearish Alignment — All 8 MAs in descending order (MA1 < MA2 < ... < MA8)
Indicates strong downtrend with aligned selling pressure
• Mixed — MAs are not in sequential order, suggesting consolidation or transition
Ribbon Width:
• Widening ribbon = Trend acceleration, increasing momentum
• Narrowing ribbon = Trend weakening, potential reversal or consolidation
█ FEATURES
1 — MA Configuration
Choose from EMA, SMA, WMA, VWMA, or HMA calculation methods.
All 8 MA lengths are fully customizable.
2 — Color Themes
Five built-in themes: Rainbow, Warm, Cool, Neon, Mono.
Creates visually distinct gradient from fast to slow MAs.
3 — Alignment Background
Green background during bullish alignment.
Red background during bearish alignment.
Helps quickly identify strong trending periods.
4 — Trend Signals
Labels appear when perfect alignment forms.
"BULL ALIGN" for bullish, "BEAR ALIGN" for bearish.
5 — Information Panel
Real-time display of alignment status, trend strength percentage,
ribbon width, price position relative to cloud, and MA values.
█ HOW TO USE
Entry Signals:
• Look for alignment signals (BULL/BEAR ALIGN) as trend confirmation
• Enter long when bullish alignment forms with price above cloud
• Enter short when bearish alignment forms with price below cloud
Trend Following:
• Stay in position while alignment background color persists
• Widening ribbon confirms trend continuation
• Exit or reduce when alignment breaks (background disappears)
Support/Resistance:
• Cloud edges act as dynamic support (bullish) or resistance (bearish)
• Price entering cloud suggests consolidation or potential reversal
█ LIMITATIONS
• Alignment signals are lagging by nature (based on MA crossovers)
• Works best on trending markets; generates mixed signals during ranging periods
• Ribbon width measurement uses outer MAs only (MA1 vs MA8)
█ COMPANION INDICATOR
Use "Rainbow MA Width" indicator for detailed Z-Score analysis of ribbon expansion/contraction patterns.
Chartology Strategy+🔍 Chartology Strategy+
This tool provides a comprehensive way for users to analyze trend levels and access other Matrix features across selected tickers and timeframes. Results can be tailored by strategy, with the option to filter displayed tickers based on custom user‑defined rules.
Bullish & Bearish Entry Signal (Safe & Scalping).
Entry Level, SL, T-SL & Two TP Levels (Based on Possible Movement).
Dashboard Table for Easy Presentation of All Levels.
Timeframe Scanner for Current Signal (Trend) on Different Timeframes.
Gap Up & Gap Down for Untraded Price Marking.
Institutional Candles for High Volume and Big Price Movement.
Neutral Candle for Low Volume and Small Price Movement.
Supply Demand (Based on Swing High & Low).
Mega Trend Band (Based on HMA) for Overall Trend.
🟢 Bullish & Bearish Entry Signals
Shows the expected direction of the symbol. It shows Bullish and Bearish direction mark on Chart. Entry Level is Closing of the Candle.
Input Settings
Signal Type: Safe
Appears after a proper trend confirmation.
Low frequency, fewer signals, but more reliable.
Best for swing traders who want strong confirmation before entering.
Signal Type: Scalping
Appears frequently during small downward moves.
High frequency, quick signals for short-term trades.
Best for intraday
Traders who want multiple opportunities in small movements.
🎯 Entry Level, SL, T-SL & TP Levels
Generated based on price movement and trend range.
Levels on Chart
Entry Level: Closing price of the candle where the signal appears.
SL (Stop Loss): Maximum risk allowed for the trade.
TSL (Trailing SL): Dynamic SL to reduce risk and lock profits.
Level 01: First TP level with 1:1 risk-reward ratio. Used for partial booking.
Level 02: Final TP level for full exit.
Input Settings
Levels: You can Increase or Decrease Level Amount for the Level 2.
Risk: You can Increase or Decrease Stop Loss (SL).
📊 Dashboard Table for Easy Presentation of All Levels.
Displays all key levels and metrics in one place:
Metrics
Symbol Name Shows the name of the current chart (e.g., NIFTY, BANKNIFTY).
Bar Age Displays the How many candles (Bars) before Latest signal appears.
Entry Shows the entry level where the latest bullish or bearish signal was generated.
Level 1 (TP1) First target level, based on 1:1 risk-reward ratio. Used for partial booking to secure profits.
Level 2 (TP2) Final target level where you can exit the remaining position.
SL (Stop Loss) Shows the maximum risk limit for the trade. Helps you control losses.
MTM (Mark to Market) Shows the difference between CMP and Entry Level. Helps track how far price has moved since entry.
P&L (Profit & Loss) Shows the difference between Entry and Target Level achieved. Helps measure actual gain or loss.
Date & Time Displays when the latest bullish or bearish signal was generated. Helps check how old or fresh the signal is.
Timeframe Scanner or Current Signal (Trend) on Different Timeframes. Shows the current signal across multiple timeframes.
Row 1 Fixed signals for 1M and 3M.
Row 2 Any 2 Custom Timeframes chosen in input settings.
Traders use this to confirm signals across different timeframes before entering trades. Example If the Day trend is bullish but the 15M chart shows bearish, many traders avoid that trade.
🚦 Gap Up & Gap Down for Untraded Price Marking.
Marks untraded price zones where price may react.
Gap Up & Down Flag Mark
Gap Up: Bullish Bias, Marked Green flag, plotted when candle opens above previous high.
Gap Down: Bearish Bias, Marked as Red flag, plotted when candle opens below previous low.
Input Settings
Enable / Disable from Chart
Threshold: Minimum gap size Threshold to detect
🟡 Institutional Candles for High Volume and Big Price Movement
Indicate strong price movement with high volume.
Marking
Displayed as Yellow Body Candles
Helps identify zones where big players are active.
Input Settings
Enable / Disable from Chart
Body %: Compare of Open & Close with High & Low
Size %: Compare Total Candle Size from Past Range
Volume %: Compare Total Candle Volume from Past Range
⚪ Neutral Candle for Low Volume and Small Price Movement
Shows low volume and minimal price movement.
Marking
Displayed as Hollow Body Candles
Traders usually avoid trading during these candles.
Input Settings
Enable / Disable from Chart.
Candle %: Compare Size of candles.
Volume %: Compare Volume of Candles from Previous Range.
🟥🟩 Supply Demand Zones (Based on Swing High & Low).
Based on swing highs and lows to identify possible reversals.
Zones
🟥Supply Zone: Near swing high, marked with Light Red Zone.
🟩Demand Zone: Near swing low, marked with Light Green Zone.
Input Settings:
Bars Left: How many past Bars Swing will Calculate.
Bars Right: After How many Bars, Zone will plot.
Max Zones: Number of Supply or Demand Zone want to plot on Chart
Delete Breaked Zones: Want to see Disappeared Zone, Uncheck it.
Extend Right: Want to see till End of the Chart, Uncheck it.
📈 Mega Trend Band (Based on HMA) for Overall Trend
Based on HMA (Hull Moving Average) to show overall trend and Help in Filters out trades against the main trend.
Working
Price above band → Bullish trend
Price below band → Bearish trend
Input Setting
Enable / Disable from Chart
HMA Period Setting: 45
👓 How to Use All together for Better Confidence.
🔍Watch for the New Entry icon on the chart.
Find New Signals with help of Automated Alerts.
Check Entry Level, SL, Level 1 and Level 2 (TP2).
Verify Date & Time → how fresh the signal is. Signal not too old.
🧭 Signal is not Self Sufficient for Good Accuracy. So, we suggest a few rules.
Cross‑Check Current Signal with Timeframe Scanner. Trade only when smaller timeframe aligns with bigger trend. (e.g., If Day = Bullish ▲ but 15M = Bearish ▼, avoid entry. Trend may not be stronger.)
Validate with Market Context of Gap. (e.g., If new signal came on Gap Up / Gap Down, avoid entry. Price may reverse.)
Zone Awareness Use Supply Demand zones to refine entries/exits and avoid false signals. (e.g., Entry: If any zone is available between Entry and Level 01, Avoid trade until Zone breaked, Exit: If Zone create between the trade, modify SL according to T-SL and wait.
Trend Filter of overall direction. (e.g., If Mega Trend Band Bullish and Trend is Bearish, Avoid the Trade.)
🕵🏻 Quick Checklist Before Trade
Bullish or Bearish signal?
Dashboard Table shows fresh entry?
SL defined and acceptable risk?
Timeframe Scanner aligned?
No Neutral candle interference?
Institutional candle or Gap supports move?
Supply/Demand zone not against trade?
✅ All Okay - Go for the ENTRY
Set a Proper Entry Point
Always respect SL, Good Trader Never avoid it.
Book partial profits at Level 1, It secure your Trade.
Keep Modifying your SL, According to T-SL Level.
On Level 2, Exit remaining All position for full profit.
📊 Healthy Trading Tips
Risk Small: Never risk more than 1–2% per trade.
Size Smart: Adjust position size to volatility and account size.
Diversify: Don’t put all money in one asset/sector.
Plan Ahead: Set entry, exit, and stop‑loss before trading.
Trade Less: Focus on quality setups, avoid overtrading.
Use Both Analyses: Combine technical charts with fundamental news/events.
Control Emotions: Stick to strategy, avoid fear/greed.
Journal Trades: Record reasons, outcomes, and lessons.
Stay Informed: Track economic calendars and global events.
Take Breaks: Step away after wins/losses to reset.
🎯 Advanced Discipline
Partial Exit: Book profits in stages (e.g., 50% at 1:1, 50% at Final Level).
Check News: Avoid trading during major announcements.
No Tweaks: Don’t change plan mid‑trade; wait for SL/TP.
Fixed Rules: Trade with fixed risk, fixed gains.
No Averaging Losses: Close bad trades, don’t add more.
Keep Learning: Evolve strategy with market changes.
Believe: Trust your plan and process.
Backtest: Practice setups until they’re second nature.
Daily Routine: Pre‑market Preparation, post‑market review.
Optimize Setup: Clean workspace, fast platform, no distractions.
Track Metrics: Win rate, average reward, expectancy, time of day, setup performance.
Trader Identity: Follow rules; money is a byproduct.
Liquidity Check: Avoid low‑volume instruments.
Respect Trend: Trade with momentum, not against it.
Avoid Over‑Leverage: Keep leverage low, avoid margin unless planned.
Risk Disclaimer
This content, including any tools, software, datafeeds, indicators, or scanners, is provided strictly for charting, educational, informational, and paper‑trading purposes only. It does not constitute investment advice, buy/sell recommendations, or real‑money trading strategies.
Not Advisors: We are not registered as investment advisors or research analysts.
Charting Only: Use is limited to testing strategies and evaluation; any application to real trading is at the user’s sole risk.
No Liability: No liability is accepted for financial loss, trading loss, or damages arising from use of the tools or data.
Data Limitations: Market data may be delayed, inaccurate, or incomplete. Past or hypothetical performance is not indicative of future results.
Signals Disclaimer: Automated signals are for evaluation only and should not be treated as accurate or real trading instructions.
High Risk: Trading and investing involve substantial risk and can result in losses beyond the initial capital.
Independent Judgment: Users must exercise independent judgment and consult licensed professionals before making financial decisions
⚠️ Final Note: Trading is speculative and may not be suitable for all investors. Use only risk capital and never invest money you cannot afford to lose.
✅ Always remember🧠 my 3R Rule💡: If the money💰 is yours then, RISK⚖️, REWARD🏆 and REGRET😔 are solely yours. 🔥
Market Compression & Entropy VectorOverview
This indicator measures market energy states and directional bias using concepts from information theory. It detects when markets are "coiling" (compression) versus "expanding" (decompression), and predicts early pivot points before they fully form.
Core Concepts
Compression-Decompression (0-1 scale)
Compression (blue): Low volatility, narrow ranges. Energy building for breakout.
Decompression (orange): High volatility, trending. Energy releasing.
Entropy Vector (-1 to +1)
Derived from buy/sell pressure using Shannon entropy:
Positive: Bullish bias (buyers dominating)
Negative: Bearish bias (sellers dominating)
Near zero: Indecision
Early Pivot Detection
Predicts reversals using 5 confluence factors:
Entropy vector crossing zero
Momentum exhaustion (rate of change reversal)
Compression exit (breakout from consolidation)
Price-entropy divergence
Extreme entropy readings
Signals
Signal Meaning
BUY Exiting compression with bullish entropy
SELL Exiting compression with bearish entropy
TOP (diamond) High probability of downward reversal
BTM (diamond) High probability of upward reversal
Key Settings
Pivot Sensitivity (1-10): Higher = more pivot signals
Pivot Score Threshold (30-90): Minimum score to trigger pivot marker
Compression/Decompression Thresholds: Define phase boundaries
Info Table
Displays real-time metrics including compression score, entropy vector, directional bias, and pivot prediction scores for tops/bottoms.
Best Use
Wait for compression phase (blue background)
Watch entropy vector for directional bias
Enter when pivot signal aligns with entropy direction
Use decompression phase for trend-following
Tags: entropy, compression, pivot detection, reversal, momentum, volatility
Delta Price Range BandsThis indicator uses the historical price delta range analysis method, perhaps known to some as HPDR thanks to YouTuber Krown.
To test the method and it's usability, I programmed my own version and put some more features into it, like a preview median price feature.
Trading Value RSI (NQ Tuned)The Trading Value RSI (NQ Tuned) is an indicator that applies the RSI calculation to trading value, defined as volume × close, rather than just price. It is specifically tuned for Nasdaq 100 futures (NQ), with a default RSI length of 24, overbought level at 75, and oversold level at 25 to filter out false signals from high volatility. The indicator visually colors the RSI line based on overbought (red), oversold (green), or neutral (blue) conditions. A horizontal midline at 50 helps identify potential trend direction changes or confirm ongoing momentum. This tool allows traders to monitor capital flow intensity, giving insight into when strong buying or selling pressure may drive short-term market moves.
Triple VWAP: Anchored# Triple VWAP: Anchored + Last 2 Sessions
## 📊 Overview
**Triple VWAP** is a professional-grade Volume Weighted Average Price (VWAP) indicator designed for serious traders who need multi-timeframe volume analysis on a single chart. This indicator combines three powerful VWAP calculations: a custom **Anchored VWAP** from any historical date, a real-time **Current Session VWAP**, and **Previous Session VWAP** reference levels—all with configurable standard deviation bands.
Perfect for intraday traders, swing traders, and institutional-level analysis on Indian markets (Nifty, BankNifty) and global instruments.
***
## ✨ Key Features
### 🎯 Three Independent VWAP Calculations
**📍 Anchored VWAP (Long-term Reference)**
- Anchor VWAP from any specific date and time (year, month, day, hour, minute)
- Ideal for tracking price action from significant market events, earnings, or trend reversals
- Maintains accumulation from your chosen anchor point throughout the entire timeframe
**📅 Current Session VWAP (Real-Time)**
- Automatically resets at the start of each trading day
- Calculates dynamically as new bars form during the session
- Shows institutional trading levels and intraday fair value
**📆 Previous Session VWAP (Reference Levels)**
- Displays yesterday's final VWAP as horizontal reference lines
- Helps identify support/resistance zones from prior session
- Useful for gap analysis and opening range strategies
### 📐 Standard Deviation Bands
Each VWAP calculation includes optional standard deviation bands:
- **±1 SD** - Identifies normal price deviation zones
- **±2 SD** - Marks extreme price movements (high probability reversal zones)
- **±3 SD** - Ultra-extreme levels (rare price extensions)
Configure which SD levels to display for each VWAP type independently.
### 🎨 Customizable Visual Settings
- **Independent Color Schemes**: Assign unique colors to each VWAP type and its SD bands
- **Adjustable Line Widths**: Configure VWAP and SD line thickness (1-5 for VWAP, 1-3 for SD)
- **Plot Styles**: Previous session plots use cross-style for clear differentiation from real-time plots
- **Background Zones**: Optional colored zones when price extends beyond ±2 SD levels
- **Session Labels**: Automatic date labels marking each VWAP anchor point
### 📊 Information Dashboard
Real-time statistics table displaying:
- Current VWAP values for all three calculations
- Live standard deviation values
- ±1 SD levels for quick reference
- Distance from price to each VWAP (percentage format)
- Session tracking counter
- Color-coded proximity indicators
***
## 🔧 How to Use
### For Intraday Trading
1. **Current Session VWAP** acts as dynamic support/resistance—price above VWAP indicates bullish bias, below indicates bearish bias
2. Use **±1 SD bands** for profit targets and stop-loss placement
3. **±2 SD touches** often signal mean reversion opportunities
4. **Previous Session VWAP** provides overnight gap reference levels
### For Swing Trading
1. **Anchored VWAP** from significant events (breakouts, earnings, trend changes) shows institutional cost basis
2. Price trading consistently above/below anchored VWAP confirms trend strength
3. SD band rejections provide high-probability entry zones
### For Multi-Timeframe Analysis
1. Combine all three VWAPs to identify confluence zones
2. When current session VWAP aligns with previous session and anchored VWAP, expect strong support/resistance
3. Monitor distance percentage to gauge overextension
***
## ⚙️ Input Parameters
**📍 Anchored VWAP Configuration**
- `Enable Anchored VWAP` - Toggle on/off
- `Year, Month, Day, Hour, Minute` - Set your custom anchor point (requires confirmation)
**📅 Session VWAP Toggles**
- `Enable Current Session VWAP` - Toggle real-time daily VWAP
- `Enable Previous Session VWAP` - Toggle yesterday's reference VWAP
**General Settings**
- `VWAP Source` - Choose calculation source (default: HLC3)
- `Show ±1/2/3 SD` - Enable/disable each standard deviation level
**Visual Customization**
- Individual color pickers for each VWAP type and SD bands
- Line width adjustments
- `Show VWAP Labels` - Date labels at anchor points
- `Show Info Table` - Statistics dashboard toggle
- `Show SD Zones` - Background coloring beyond ±2 SD
***
## 💡 Trading Applications
✅ **Mean Reversion Trades**: Enter when price touches ±2 SD with reversal confirmation
✅ **Trend Following**: Trade in direction when price holds above/below VWAP
✅ **Institutional Levels**: Anchored VWAP reveals where large players accumulated positions
✅ **Gap Trading**: Use previous session VWAP to gauge gap fill probability
✅ **Volume Profile Analysis**: VWAP represents fair value based on actual volume traded
✅ **Support/Resistance Confluence**: Multiple VWAP alignment creates high-probability zones
***
## 🎓 Understanding VWAP
VWAP is the average price weighted by volume—representing the true average price paid by all market participants during a specific period. Unlike simple moving averages, VWAP gives more weight to price levels with higher trading volume, making it particularly valuable for:
- Institutional traders executing large orders
- Algorithmic trading systems
- Identifying fair value and overextended prices
- Minimizing market impact on large trades
***
## 📈 Chart Setup Recommendations
**Best Timeframes**: 1-minute to 15-minute charts for intraday; 1-hour to 4-hour for swing trading
**Compatible Markets**: Stocks, Indices (Nifty 50, Bank Nifty), Futures, Forex, Crypto
**Session Settings**: Works with standard daily sessions; automatically detects trading days (not calendar days)
***
## 🚀 What Makes This Indicator Unique
Unlike standard VWAP indicators that only show current session data, **Triple VWAP** provides:
- **Multi-session analysis** on a single chart without clutter
- **Historical anchoring** capability for event-driven analysis
- **Professional-grade statistics** dashboard
- **Independent customization** for each VWAP type
- **Optimized calculations** for real-time performance
***
## ⚠️ Important Notes
- **Anchored VWAP** requires manual date input (use significant market events like breakouts, earnings, trend reversals)
- **Session detection** based on daily timeframe changes—works on all chart timeframes
- **Previous Session VWAP** displays as static horizontal lines (reference only, not recalculated)
- **Standard Deviations** calculated using volume-weighted variance formula
- Works best on instruments with **consistent volume data**
***
## 📝 Credits & License
This indicator is published under **TradingView House Rules**. Code is original and follows Pine Script v6 best practices for performance and maintainability.
***
## 🤝 Support & Feedback
If you find this indicator valuable, please:
- ⭐ **Like** this publication
- 💬 **Comment** with your feedback or questions
- 🔔 **Follow** for updates and new releases
***
**Disclaimer**: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always use proper risk management and combine with your own analysis before making trading decisions.
***
IED [Harmonic Volatility Edition]IED-H
IED-H (Harmonic Volatility Edition) is a professional mean-reversion and exhaustion detection engine designed to identify institutional stress zones, volatility extremes, and harmonic reversals using a geometry-based statistical framework.
This indicator does not chase trends or breakouts.
Instead, it focuses on detecting when price deviates excessively from its equilibrium and begins to lose efficiency.
⸻
🔬 Core Concept
IED-H measures price deviation from a dynamic trend baseline and projects it into harmonic volatility bands derived from natural square-root ratios:
• √2 → Pulse (normal deviation)
• √3 → Stretch (institutional stress)
• √5 → Extreme (critical exhaustion)
These levels adapt dynamically to market volatility and are not fixed thresholds.
⸻
⚙️ Key Features
• Harmonic Volatility Geometry
Dynamic √2 / √3 / √5 bands scaled by statistical volatility.
• Responsive Wave Engine
Smoothed deviation wave (HMA / RMA modes) for early exhaustion detection.
• Equilibrium Noise Filter
Automatically ignores weak, low-energy oscillations around balance.
• Persistence Logic
Requires prior presence inside overbought/oversold zones to avoid false signals.
• Candle Validation
Signals are confirmed using wick structure and true volatility (ATR-based).
• Harmonic Score (Debug Mode)
Quantifies how deeply price penetrates harmonic stress levels.
• Institutional Visualization
Optional on-chart boxes highlighting validated harmonic reaction zones.
⸻
🎯 What This Indicator Is Designed For
✔ Mean-reversion trades
✔ Exhaustion & volatility climax detection
✔ Trap zones and institutional reaction areas
✔ Advanced traders who value signal quality over signal quantity
⸻
🚫 What This Indicator Is NOT
✘ Not a trend-following system
✘ Not a breakout indicator
✘ Not designed for momentum chasing
✘ Not a multi-purpose “all-in-one” tool
IED-H is a precision instrument, not a Swiss-army knife.
⸻
🧠 Best Practice
For optimal results, use IED-H within a broader trading framework, preferably alongside:
• Higher-timeframe trend context
• Market structure or session logic
• Risk-controlled execution rules
⸻
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not constitute financial advice.
Always manage risk and test thoroughly before live trading.
Supply & Demand - Trading Vidhyalaya (Free)A powerful script that automatically plots Supply and Demand zones on your chart. Designed to help traders identify potential reversal areas with precision.
Free Version Capabilities:
Works exclusively on the Daily (1D) Timeframe.
Includes Wick & Strong validation logic.
📍 Pinpoint accurate reversals.
🔔 Real-time alerts for Daily zones.
📉 "Touched" zone logic to keep your chart clean.
Want to use this on Intraday Charts? The Premium version supports ALL Timeframes (1m to Monthly) and includes Multi-Timeframe (MTF) overlay capabilities.
TRV & nTRV - Trimmed Range VolatilityGrid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup.Grid bots require stable volatility measurement - ATR becomes misleading when gaps and sudden spikes distort the average. TRV (Trimmed Range Volatility) is an advanced version of ATR: it filters outliers at the extremes (highest and lowest ranges) and remains unaffected by gaps. This provides real-time, accurate volatility measurement for grid bot setup.
Why We Developed TRV?
When a gap or sudden spike occurs in the morning, this extreme movement affects standard ATR calculations for an extended period. Even if the price moves sideways for the rest of the day, ATR remains elevated. This causes grid bots to operate with unnecessarily wide spacing and execute fewer trades.
TRV Advantages:
✅ Unaffected by Gaps: Opening gaps don't distort the calculation
✅ Extreme Point Elimination: Filters the largest and smallest outlier candles
✅ Real-Time Accuracy: Shows current market volatility
✅ Grid Bot Optimization: Enables tighter and more efficient grid spacing
✅ Comparison Capability: Compare different stocks and timeframes with nTRV
Grid Bot Usage:
The TRV value is used directly to calculate the number of grid lines:
(Resistance - Support) / TRV = Number of Grid Lines
Example:
Resistance: $110
Support: $90
TRV: $2
Grid Count: (110-90)/2 = 10 grid lines
Features:
Two Filtering Modes: Manual (enter number) or Percentage-Based (automatic ratio)
Four Indicators in One: nTRV, TRV, ATR, and nATR all displayed on the same panel
nTRV: Normalized value (percentage-based, for stock comparison)
TRV: Absolute value (currency-based, for grid calculation)
ATR & nATR Included: Standard ATR and nATR for direct comparison with TRV
Comprehensive Analysis: Compare filtered (TRV) vs unfiltered (ATR) volatility side-by-side
Default: 10% top, 10% bottom outlier elimination
Conclusion:
TRV is an advanced version of ATR specifically designed for grid bot traders. By filtering outlier movements, it provides more stable and reliable volatility measurement. The indicator includes both TRV (filtered) and ATR (unfiltered) on the same chart, giving traders a comprehensive view to make informed decisions. This dual-display approach enables more efficient grid strategies and increased trading frequency.
_Mean_RAWAn indicator based on the “ mean reversion ” strategy.
Works best with the EURUSD 4h pair. Different time frames can be used for other pairs.
The pyramiding feature does not make significant changes; it is not an important parameter.
It definitely does not repaint, especially if you trade on candle closes using the per bar close type alarm.
Green label -> 🟢 buy
Red label -> 🔴 sell
Yellow label -> 🟡 close
Your suggestions regarding the indicator are important to me.
Ribbon Cross Strategy This strategy uses a simple moving-average ribbon crossover system with a customizable entry filter. You can choose whether trades trigger near the fast or slow average, allowing flexibility in capturing early or confirmed trend moves.
It’s best suited for index trading on intraday timeframes , helping identify short-term trend reversals and continuations with clear visual cues and backtestable logic.
VWMA CloudA volume-weighted moving average (VWMA) cloud consisting of fast and slow VWMAs. The lines are dynamically colored based on their relative positions, forming a visual cloud that highlights bullish and bearish trends.
A normal moving average (SMA or EMA) weights prices equally (or by recency) and ignores volume, so it reacts the same regardless of how much trading occurred. A volume-weighted moving average (VWMA) weights each price by its trading volume, so high-volume moves shift the average more and low-volume moves shift it less. This makes VWMA more representative of where the market is actually trading and filters out weak, low-participation moves.
Supfabio Break-Return BandsSupfabio Break-Return Bands (B3 & B4 • 3-Candle Confirmation)
Supfabio Break-Return Bands is a volatility-based price action indicator built on top of a Two-Pole smoothing filter combined with ATR-derived dynamic bands.
It is designed to highlight price exhaustion, rejection, and potential reversal zones, with a strong emphasis on structural confirmation rather than immediate breakouts.
Core Concept
The indicator plots four volatility bands (Band 1 to Band 4) above and below a smoothed Two-Pole filter.
Signals are intentionally restricted to the outer bands, where price behavior is statistically more likely to show:
Volatility expansion
Liquidity grabs (stop runs / false breaks)
Strong rejection or mean-reversion behavior
Signal Logic
Band 4 (Primary Extreme Zone)
BUY and SELL signals are generated when:
Initial trigger (first candle)
Price either crosses the Band 4 level or
Touches and rejects the band (wick / pin behavior)
Confirmation on the 3rd candle (t + 2)
The confirmation candle:
Must not touch the same band again
Must close on the correct side of the band
Confirms that the initial break or pin was rejected
This delayed confirmation helps filter false breakouts and impulsive entries.
Band 3 (Secondary Setup)
On Band 3, signals are intentionally more selective:
Pin / rejection only
No direct cross signals
Uses the same 3-candle confirmation logic
This allows Band 3 signals to act as deeper pullback or early exhaustion setups.
Confirmation Mechanism
The script uses an internal state-based logic to:
Track the exact bar where the trigger occurred
Confirm signals only on the correct third candle
Prevent duplicate or consecutive signals from the same setup
Ensure pin-based triggers are not missed
Visual Elements
Main Two-Pole filter plotted as a thick continuous line
Volatility bands plotted with progressive line thickness
Band line styles (dotted / dashed) can be customized manually in the Style tab
Clear BUY and SELL labels plotted directly on the confirmation candle
Optional candle coloring based on filter direction
Alerts & Automation
Built-in alertcondition() for BUY and SELL
Alerts are suitable for webhook automation
Compatible with external systems and trading bots
Intended Use
This indicator is suitable for:
Reversal and exhaustion analysis
Mean-reversion strategies
Liquidity and rejection-based setups
Manual trading or automated execution
Intraday and higher-timeframe analysis
Notes
This script is intended as an analytical tool, not as a standalone trading system.
Signals should be used in combination with market structure, trend context, and proper risk management.
OC Chain_ROC_RSI15-minute indicator that detects a 3-candle “inside” chain where each candle’s open & close remain within the previous candle’s open-close range. Plots horizontal Open/Close levels on candles when ROC(2) moves beyond a configurable ±threshold, and highlights candles when RSI is strong (>55) or weak (< user set level, e.g., 30–32). Adjustable ROC/RSI settings and line extension options.






















