TradeX ORB SniperTradeX ORB Sniper — Multi-Range Opening Breakout Framework
TradeX ORB Sniper is a closed-source analytical framework designed to study how price interacts with structured opening ranges across different market regimes.
It is not a simple ORB line tool and is not a mashup of existing indicators. All logic is developed in-house and operates under a unified internal rule engine.
The script’s purpose is to standardize how opening ranges are defined, measured, and visualized so traders can objectively evaluate breakout behavior across multiple session models.
Core Concept
ORB Sniper implements four internally coded range definitions. Each mode calculates its range differently based on time, session structure, and market behavior:
• Pre-market session range
• 5-minute opening range
• 15-minute opening range
• Volume-adaptive range model
Rather than using generic fixed boxes, each range model applies a consistent internal rule set so breakout behavior can be studied within a controlled and repeatable structure.
This allows users to compare how price reacts to different opening range constructions without changing tools or visual logic.
Breakout Detection Logic
A breakout is defined only when a candle closes outside the active range.
When this occurs, the framework highlights that candle as a visual event marker (“Get Ready Candle”).
This highlight is informational only.
It does not generate trade signals and does not imply entry or exit instructions.
Its purpose is to clearly identify when price has structurally exited the defined range area according to the framework’s rules.
Range-Based Projection Zones
To provide contextual structure after a breakout, the framework projects two calculated zones:
Risk Zone
Derived directly from the size and structure of the selected opening range.
Continuation Zone
Projected from the same range logic using proportional displacement.
These zones are not random drawings or static multipliers.
They are mathematically linked to the internally calculated range and update dynamically based on the active mode.
The purpose of these zones is to visually map potential expansion and retracement behavior relative to the opening range, allowing users to study how price behaves after range resolution.
Customization & Inputs
All visual components can be adjusted through user inputs:
• Range Mode (V1–V4)
• Risk zone color
• Continuation zone color
• Breakout candle highlight color
• Optional status line display
This allows traders to adapt the framework to different chart layouts while preserving the underlying logic.
Development Methodology
The range models and projection logic were originally prototyped and tested in Python using historical market data.
Variations in volume behavior, volatility structure, and session timing were iterated to refine how ranges are defined and how post-range behavior is measured.
The most stable rule sets were then implemented into Pine Script as a closed-source framework to ensure consistency and prevent discretionary reinterpretation of the model.
Intended Use
This script is designed for visual and structural market analysis only.
It does not:
• generate trade signals
• execute trades
• claim profitability
• provide automated entries or exits
It is intended to help users objectively observe how price behaves around different opening range definitions under a unified framework.
Default settings are provided for demonstration purposes only.
Users should adjust configurations based on their own instruments, sessions, and timeframes.
Originality Statement
TradeX ORB Sniper is a proprietary TradeX Labs framework.
While it utilizes well-known market concepts such as opening ranges and volume behavior, it applies them through an original internal rule structure governing:
• how ranges are calculated
• how breakouts are defined
• how projections are derived
• how all modes remain behaviorally consistent
It is not a mashup of public indicators and does not rely on built-in strategy templates or public-domain scripts.
Biến động
OB/OS Environment MTFThis indicator identifies overbought and oversold price environments — not reversal signals — using a multi-timeframe regime filter combined with volatility-adjusted stretch and confluence logic.
The goal is to highlight when price is objectively extended relative to trend, so traders can:
reduce chasing,
size appropriately,
manage risk,
or look for mean-reversion / pause scenarios without assuming a top or bottom.
How it works
1. Higher-Timeframe Regime (Stable)
Intraday charts → Daily regime
Daily charts → Weekly regime
Weekly charts → Monthly regime
Monthly charts → Monthly regime
Regime is determined using HTF close vs HTF EMA (optionally slope-filtered).
This keeps environments stable and avoids intrabar regime flipping.
2. Volatility-Adjusted Stretch
Price extension is measured as:
distance from EMA
normalized by ATR (z = (price − EMA) / ATR)
This allows the same logic to work across:
5m / 30m / 1h
Daily / Weekly / Monthly
3. Confluence Scoring (N-of-M)
An OB/OS environment only triggers when stretch and a minimum number of confirmations are present:
RSI extreme
Bollinger %B excursion
Stretch percentile vs its own history
Large candle relative to ATR
User-configurable confirmation count helps reduce noise.
4. Environment State (Sticky)
Once an overbought or oversold environment is detected:
the state persists until price decompresses or regime breaks
optional background shading visualizes the environment
arrows mark entry into the environment (not exits)
What this is / is not
This is:
an environment/context tool
multi-timeframe aware
volatility-normalized
designed to work across assets and timeframes
This is NOT:
a buy/sell signal
a reversal system
predictive of timing tops or bottoms
Strong trends can remain overbought/oversold for extended periods — by design.
Best use cases:
Risk management in strong trends
Avoiding late entries
Scaling decisions
Mean-reversion setups with confirmation
Context for options traders (IV, spreads, diagonals)
Feedback welcome
This is an early public release.
I’m specifically interested in feedback on:
confluence logic
regime behavior
parameter defaults by timeframe
false positives vs missed environments
If you have ideas or improvements, please comment — especially if you test across multiple markets or higher timeframes.
Volume Weighted LR Z ScoreThis indicator calculates the Volume Weighted Linear Regression
Z-Score (VWLRZS). Unlike a standard Z-Score which measures
deviation from a static mean, this oscillator measures the
statistical distance of price from a dynamic Volume-Weighted
Linear Regression Line (Analysis of Residuals).
Key Features:
1. **Volatility Decomposition:** The indicator separates volatility
based on the 'Estimate Bar Statistics' option.
- **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates
standard Regression Residuals using the selected `Source`
for both the regression line (baseline) and the signal.
- **Decomposition Mode (`Estimate Bar Statistics` = ON):**
Uses a hybrid statistical approach:
a) **The Model (Baseline):** Uses an estimator to calculate
the 'within-bar' mean and fits the Linear Regression
through these statistical centers. This creates a
stable, trend-following expectation model.
b) **The Signal (Observation):** Compares the actual `Source`
(e.g., Close) against this regression line.
(Result: A Z-Score that measures deviations from the current
trend slope rather than a flat average).
2. **Visual Decomposition Logic:** Total Standard Deviation (of
Residuals) is the primary metric displayed. Since Standard
Deviations are not linearly additive (sqrt(a+b) != sqrt(a)+sqrt(b)),
this indicator calculates the *exact* Total Z-Score and partitions
the area underneath based on the Variance Ratio. This ensures the
displayed total volatility remains mathematically accurate while
showing relative composition.
3. **Normalization (Exponential Regression):** Includes an optional
'Normalize' mode. When enabled, the indicator calculates the
Linear Regression on logarithmic data. Mathematically, this
transforms the baseline into an **Exponential Regression Curve**,
making it ideal for analyzing assets with compounding growth
characteristics (constant percentage trend).
4. **Full Divergence Suite (Class A, B, C):** The indicator's
primary feature is its integrated divergence engine. It
automatically detects and plots all three major divergence
classes between price and the Z-Score:
- Regular (A): Signals potential trend exhaustion and reversals.
- Hidden (B): Signals potential trend continuations during pullbacks.
- Exaggerated (C): Signals weakness at double tops/bottoms.
5. **Divergence Filtering and Visualization:**
- **Price Tolerance Filter:** Divergence detection is enhanced
with a percentage-based price tolerance (`pivPrcTol`) to
filter out insignificant market noise, leading to more
robust signals.
- **Persistent Visualization:** Divergence markers are plotted
for the entire duration of the signal and are visually
anchored to the oscillator level of the confirming pivot.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
6. **Note on Confirmation (Lag):** Divergence signals rely on a
pivot confirmation method to ensure they do not repaint.
- The **Start** of a divergence is only detected *after* the
confirming pivot is fully formed (a delay based on
`Pivot Right Bars`).
- The **End** of a divergence is detected either instantly
(if the signal is invalidated by price action) or with
a delay (when a new, non-divergent pivot is confirmed).
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Calculation:** The Z-Score line *itself* can be calculated on a
higher timeframe, with standard options to handle gaps
(`Fill Gaps`) and prevent repainting (`Wait for...`).
- **Limitation:** The Divergence detection engine (`pivDiv`)
is designed for the active timeframe. Using it in MTF mode
is not recommended as step-data can lead to inaccurate
pivot detection.
8. **Integrated Alerts:** Includes a comprehensive set of built-in
alerts for the Z-Score crossing the neutral line, the configured
Threshold levels, and the start/end of all divergence types.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Volume Weighted Z ScoreThis indicator calculates the Volume Weighted Z-Score (VWZS), a
statistical oscillator that measures the number of standard deviations
the price is removed from its mean. It combines robust volatility
decomposition with advanced divergence detection.
Key Features:
1. **Volatility Decomposition:** The indicator separates volatility
based on the 'Estimate Bar Statistics' option.
- **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates
a simple (Volume-Weighted) Standard Deviation using the
selected `Source` for both the baseline and the signal.
- **Decomposition Mode (`Estimate Bar Statistics` = ON):**
Uses a hybrid statistical approach:
a) **The Model (Baseline):** Uses an estimator to calculate
the 'within-bar' mean and volatility. This creates a
stable, mathematically idealized expectation value (mu).
b) **The Signal (Observation):** Compares the actual `Source`
(e.g., Close) against this statistical baseline.
(Result: A Z-Score that combines a noise-filtered trend
baseline with a highly reactive price signal).
2. **Visual Decomposition Logic:** Total Standard Deviation is the
primary metric displayed. Since Standard Deviations are not
linearly additive (sqrt(a+b) != sqrt(a)+sqrt(b)), this indicator
plots the *exact* Total StdDev and partitions the area underneath
based on the Variance Ratio. This ensures the displayed total
volatility remains mathematically accurate while showing relative
composition.
3. **Normalization (Geometric Average):** Includes an optional
'Normalize' mode. When enabled, the indicator uses a
Geometric Moving Average (GMA) as its baseline and applies a
statistical correction for the log-normal distribution
ensuring symmetry between upside and downside movements.
4. **Full Divergence Suite (Class A, B, C):** The indicator's
primary feature is its integrated divergence engine. It
automatically detects and plots all three major divergence
classes between price and the Z-Score:
- Regular (A): Signals potential trend exhaustion and reversals.
- Hidden (B): Signals potential trend continuations during pullbacks.
- Exaggerated (C): Signals weakness at double tops/bottoms.
5. **Divergence Filtering and Visualization:**
- **Price Tolerance Filter:** Divergence detection is enhanced
with a percentage-based price tolerance (`pivPrcTol`) to
filter out insignificant market noise, leading to more
robust signals.
- **Persistent Visualization:** Divergence markers are plotted
for the entire duration of the signal and are visually
anchored to the oscillator level of the confirming pivot.
- **Flexible Pivot Algorithms:** Supports various underlying
mathematical models for pivot detection provided by the
core library
6. **Note on Confirmation (Lag):** Divergence signals rely on a
pivot confirmation method to ensure they do not repaint.
- The **Start** of a divergence is only detected *after* the
confirming pivot is fully formed (a delay based on
`Pivot Right Bars`).
- The **End** of a divergence is detected either instantly
(if the signal is invalidated by price action) or with
a delay (when a new, non-divergent pivot is confirmed).
7. **Multi-Timeframe (MTF) Capability:**
- **MTF Calculation:** The Z-Score line *itself* can be calculated on a
higher timeframe, with standard options to handle gaps
(`Fill Gaps`) and prevent repainting (`Wait for...`).
- **Limitation:** The Divergence detection engine (`pivDiv`)
is designed for the active timeframe. Using it in MTF mode
is not recommended as step-data can lead to inaccurate
pivot detection.
8. **Integrated Alerts:** Includes a comprehensive set of built-in
alerts for the Z-Score crossing the neutral line, the configured
Threshold levels, and the start/end of all divergence types.
---
**DISCLAIMER**
1. **For Informational/Educational Use Only:** This indicator is
provided for informational and educational purposes only. It does
not constitute financial, investment, or trading advice, nor is
it a recommendation to buy or sell any asset.
2. **Use at Your Own Risk:** All trading decisions you make based on
the information or signals generated by this indicator are made
solely at your own risk.
3. **No Guarantee of Performance:** Past performance is not an
indicator of future results. The author makes no guarantee
regarding the accuracy of the signals or future profitability.
4. **No Liability:** The author shall not be held liable for any
financial losses or damages incurred directly or indirectly from
the use of this indicator.
5. **Signals Are Not Recommendations:** The alerts and visual signals
(e.g., crossovers) generated by this tool are not direct
recommendations to buy or sell. They are technical observations
for your own analysis and consideration.
Manipulation Candle Strategy PROManipulation Candle Strategy PRO is a rule-based reversal framework designed to identify potential short-term exhaustion moves using higher-timeframe volatility expansion and structured lower-timeframe confirmation.
The indicator focuses on large 15-minute candles relative to daily ATR, treating these volatility expansions as potential liquidity events. After detection, it waits for defined lower-timeframe structure and confirmation before signaling potential reversals.
This framework provides structured, rules-driven analysis rather than discretionary or subjective signals.
Core Logic
Detects 15-minute candles exceeding a user-defined percentage of daily ATR
Classifies bullish and bearish volatility expansion
Waits for an opposite 5-minute candle to define potential reversal structure
Confirms entries using candle-close conditions across multiple timeframes
Uses 1-minute price confirmation to trigger entries beyond defined levels
Optional Supertrend and EMA filters for directional alignment
Configurable fixed or ATR-based take profit and stop loss
Optional session filtering for intraday markets
All signals are based on confirmed candle closes
Signals may update intrabar but only execute after confirmation conditions are met
Strategy Behavior
Reversal entries trigger only after defined manipulation and confirmation conditions
Fake or incomplete setups are filtered automatically
Logic adapts dynamically to volatility and market structure
Designed for structured decision-making, not prediction
This script does not place trades automatically; it is intended for analysis, backtesting, and discretionary execution support
Intended Use
Futures, indices, and liquid intraday markets
Traders seeking repeatable, rules-based reversal logic
Study short-term exhaustion moves and reversals
Backtesting and educational analysis of volatility-based setups
Access
Manipulation Candle is offered as a TradingView invite-only script.
Subscription management and billing are handled externally.
Ongoing Development
This script is actively maintained with:
Continued logic refinement
Additional filters and confirmations
Performance and execution improvements
Quality-of-life updates based on user feedback
Disclaimer
For educational and informational purposes only.
Not financial or investment advice. Trading involves risk; past performance is not indicative of future results.
Use at your own discretion.
Step-by-Step Guide to Using Manipulation Candle Strategy PRO
Step 1: Understand the Strategy
Manipulation Candles: Large 15-minute candles exceeding a percentage of daily ATR; bullish or bearish
Lower-Timeframe Structure: 5-minute candle opposite the manipulation defines potential reversal structure
Confirmation: 1-minute price confirmation triggers entry beyond defined levels
Filters: Optional Supertrend and EMA filters for trend alignment
Labels & Tables:
Bull/Bear manipulation labels
Entry labels: REV LONG / REV SHORT
Exit labels: EXIT LONG / EXIT SHORT
ATR and win/loss table updates
Step 2: Customize Settings
Strategy Inputs: Max hold time, max wait for confirmation, TP/SL values, ATR multipliers
Manipulation Detection: Daily ATR length, manipulation percentage threshold
Session Filtering: Enable/disable, define session times
Trend Filters: Supertrend factor/period, EMA length, enable/disable
Appearance: Show/hide manipulation, entry, exit labels; limit number of visible labels
Strategy Tester: Adjust capital, quantity, and commission for backtesting
Step 3: Interpret and Use
Reversals:
Fade bear manipulation → long reversal
Fade bull manipulation → short reversal
Entry Confirmation: Only during filtered sessions and after 5-minute + 1-minute confirmation
Exits: Based on TP/SL or max hold time
Filters: Trend, Supertrend, EMA, session, fake break detection
Focus on studying structure and behavior; performance varies by market and timeframe
Step 4: Alerts
Alerts can be added for entries and exits via TradingView’s alert system
Right-click chart → Add Alert → Select strategy → Condition → Frequency: Once per bar
Notifications sent via app/email
Step 5: Troubleshooting
No labels/signals? Load sufficient historical data, check session and filters
Missing labels/colors? Enable in appearance settings
Backtest skewed? Include commission/slippage
Limitations: Intraday and RTH focus; pyramiding = 0 (one position at a time)
Bit Secure - Index Structure Engine ( Hybrid )Bit Secure – Index Structure Engine
( RSI Caution + No-Trade Range)
Bit Secure – Index Structure Engine is a structure-first intraday indicator designed for index traders (NIFTY / BANKNIFTY / FINNIFTY) who want clarity, discipline, and noise-free execution.
This tool focuses on EMA structure, VWAP context, priority opening moves, and intelligent RSI caution signals — without blocking valid trades.
🔹 Core Philosophy
“Trade structure first, momentum second, confirmation last.”
The indicator separates:
Trend entries (CORE & FAST)
Opening opportunity (PRIORITY)
Early reversal awareness (RSI Caution)
Sideways / no-trade zones (Manual Range Filter)
🚀 FEATURES
✅ EMA STRUCTURE ENGINE
EMA 9 & EMA 21 for core trend detection
EMA 5–21 fast entries (optional)
Clean crossover-based logic (no repaint)
⚡ CORE & FAST SIGNALS
BUY / SELL CORE → Main trend confirmation
FAST signals → Early continuation entries
Fully optional, toggle-controlled
🎯 PRIORITY OPENING ENTRY (09:15–09:45)
One-time high-probability retest / crossover entry
Designed for first 30 minutes volatility
Automatically resets every trading day
📉 VWAP NOISE FILTER (Optional)
Blocks trades when price is too close to VWAP
Helps avoid choppy & mean-reversion zones
⚠️ RSI CAUTION SIGNALS (NON-BLOCKING)
⚠️ These are alerts, NOT trade entries
RSI caution appears only when:
Cross happens inside OB / OS
Cross on zone exit
Cross just after zone exit
❌ No random mid-zone RSI noise
❌ No sideways false alerts
Perfect for:
Spotting early trend exhaustion
Managing open trades
Avoiding over-trading in trends
🚫 MANUAL NO-TRADE RANGE (Power Feature)
Manually define price range
ALL signals blocked inside this zone
(CORE / FAST / PRIORITY / RSI)
Range is visually highlighted on chart
Best use cases:
Event days
Option decay zones
Choppy consolidation areas
🎛️ FULL CONTROL
Every module is independently switchable:
FAST EMA
PRIORITY Entry
VWAP Filter
RSI Caution
Manual No-Trade Range
👉 Trade your style, not forced logic.
📊 BEST TIMEFRAMES
5-minute (Recommended)
Works on Index charts only
NIFTY
BANKNIFTY
FINNIFTY
⚠️ IMPORTANT NOTE
This is NOT a buy/sell recommendation
RSI signals are caution alerts, not entries
Use with proper risk management
💡 WHO IS THIS FOR?
✔️ Serious intraday traders
✔️ Price-action + structure followers
✔️ Traders tired of over-signals
✔️ Those who want clarity over complexity
🔒 Built for discipline.
🔥 Designed for structure.
🎯 Powered by context, not noise.
ATR Box Compact TR vs ATR 2.0Updates to ATR Box:
Fields added to set the location of ATR Box on the chart.
Daily Range is shown (also with %) to the ATR D1 14.
The color of the box can be modified to the % of the TR (five levels can be definened).
Application of the ATR Box
This indicator is used when trading stock reversals. It is used in conjunction with other indicators. I needed additional, concise information about the daily range compared to the ATR D1 14. For better visualization, I created different levels, color-coded according to the percentage value of the TR compared to the ATR.
Beta Coefficient & RSI Table (Midcaps vs Majors)Beta Coefficient & RSI Table (Midcaps vs Majors)
This script builds a comprehensive beta comparison framework between midcap assets and majors for benchmarks, enhanced with a simple RSI midline strategy for clean entry and exit signaling.
In addition to beta-based relative analysis, the script:
Computes raw RSI values on midcap assets for standalone trend qualification
Evaluates every midcap/major ratio combination using the same RSI-based regime logic
Produces binary (0 / 1) signals suitable for systematic filtering and automation
Designed with automation in mind, this script is perfect for daily alerts that can send webhooks externally, and is fully compatible to reliably daily close updates for:
Ratio beta comparisons (midcaps vs majors)
Binary RSI crossover signals on each ratio
Base midcap trend state (RSI > 45 indicating an active uptrend) - 45 made for a slightly faster entry signal if used as a preliminary filter
This makes the table ideal for automated system building, signal aggregates, and hands-off portfolio logic.
Full credits to @MarktQuant and @NianiaFrania🐸 for the original script source.
ADR% - Average Daily Range % by TrinhDuongSMWThe ADR% (Average Daily Range Percentage) is a volatility measurement tool designed to help traders understand the typical price movement of a stock over a specific period. Unlike the standard ATR (Average True Range) which uses absolute price points, ADR% expresses volatility as a percentage of the stock's price, making it easier to compare volatility across different tickers regardless of their share price.
Squeeze Momentum + ADX MemoThis indicator is a comprehensive technical analysis tool that combines the volatility detection of the Squeeze Momentum with the trend strength of the ADX (Average Directional Index). It is optimized to provide a clear reading of price action across multiple timeframes.
Unlike standard oscillators, this customized version by Memo integrates a dynamic Multi-Timeframe (MTF) info panel and a visual scaling system, allowing you to monitor strength and momentum in a single pane without cluttering your price chart.
🛠 KEY FEATURES
Squeeze Momentum: Identifies compression phases (red dots) and volatility breakouts (green dots).
Dynamic ADX: ADX and DI+/DI- lines are proportionally scaled to the histogram for intuitive visualization.
Multi-Timeframe Analysis (MTF): A dedicated dashboard shows trend strength and direction (EMA 200) for both the current chart and a higher timeframe (e.g., 1D).
Divergence Detector: Automatically identifies Bullish and Bearish divergences (BULL/BEAR DIV).
Signal Labels: LONG and SHORT markers triggered when trend strength is confirmed.
📘 DETAILED USER GUIDE
1. Understanding the Elements
Histogram: Cyan/Blue (Bullish), Red/Maroon (Bearish).
Center Dots: Red dots indicate the market is "squeezing" (price compression/accumulation). Green dots indicate the squeeze has released and a trend is underway.
White Line (ADX): Above the Critical Level (23) indicates a strong trend. Below 23 suggests a range-bound or "choppy" market.
2. Trading Strategy (High Probability Setup)
LONG Entry (Buy):
Squeeze: Red dots must be present (accumulation phase).
Shift: Histogram starts moving up or changes to recovery colors.
Strength: The ADX (white line) crosses above the critical level (23).
Confirmation: DI+ (green) must be above DI- (red).
Macro Filter: The dashboard must show a BULLISH trend on the Higher Timeframe.
SHORT Entry (Sell):
Squeeze: Red dots must be present.
Shift: Histogram starts dropping with increasing momentum.
Strength: The ADX crosses above the critical level (strength is gaining on the downside).
Confirmation: DI- (red) must be above DI+ (green).
Macro Filter: The dashboard must show a BEARISH trend on the Higher Timeframe.
3. Divergences & Exits
Use the BULL DIV and BEAR DIV labels as warning signals. A divergence against your current position is a clear sign to take profits or tighten your Stop Loss.
4. Info Panel (Dashboard)
ADX Metric: If both timeframes (Current and Higher) are green, the probability of a successful trend trade increases significantly.
Trend: Based on the 200 EMA. Memo's Golden Rule: Avoid trading against the higher timeframe trend to stay away from "fakeouts."
Reverse/Bounce LiteReverse/Bounce Indicator Lite
(EN) Indicator shows expected price rebound/reverse positions.
Calculations starts at first tick of every new bar/candlestick. In settings you can set range for calculations, text on label, label color and text color. Alerts working only on 15M timeframe or less. Feel free to contact me and leave comments when you have questions or suggestions.
(RU) Индикатор показывает ожидаемые места отскока/разворота цены.
Расчеты начинаются с первого тика каждой новой свечи/бара. В настройках вы можете задать диапазон для расчетов, текст на метке, цвет метки и цвет текста. Оповещения работают только на таймфрейме 15 минут или меньше. По вопросам и предложениям обращайтесь пишите в личные сообщения или оставляйте комментарии.
Mid Line📌 Mid Line – Volatility-Based Equilibrium Levels
This indicator draws horizontal mid lines at the midpoint of high-volatility candles.
When a candle exceeds the defined volatility threshold, its midpoint is marked as a potential short-term equilibrium level. These levels often act as temporary support or resistance, especially after strong impulsive moves.
If price pulls back, it may react around the mid line before continuing or breaking, helping traders identify reaction zones, pullback areas, and momentum shifts.
Key features:
Detects strong candles based on body volatility
Draws midpoint equilibrium levels automatically
Adjustable line length (up to 6 bars)
Designed for clean price action and intraday analysis
Best used on lower and intraday timeframes after impulsive moves.
Etherium 4H backtester&strategy&signal ALPHAThis is a comprehensive 4-hour trend-following strategy designed specifically for Ethereum (ETHUSDT), optimized for long-term growth and drawdown protection.
1. Hybrid Trend Filter: Combines Trend Magic (CCI+ATR) and ZLSMA (Zero-Lag LSMA) to identify the true market direction with minimal lag.
2. Volatility Squeeze: Uses TTM Squeeze logic (Bollinger Bands inside Keltner Channels) to enter trades only when volatility expands.
3. Daily Regime Filter: Checks the Daily 200 EMA to ensure trades align with the macro trend (Longs only in Bull markets, Shorts only in Bear markets).
1. Dynamic Stop Loss: Utilizes a "Smart" Stop Loss system that automatically selects the tighter stop between ATR Chandelier and Recent Swing High/Low.
2. Equity Guard: A unique feature that reduces position size by 50% when the current equity falls below its moving average, protecting the account during drawdown periods.
1. Timeframe: 4 Hours (Recommended)
2. Symbol: ETHUSDT.P (Binance/Bybit Perpetual)
3. Settings: All parameters (Risk, Filters, SL Mode) are fully customizable in the settings menu.
This script does not guarantee future profits. Past performance is not indicative of future results. Use at your own risk.
To access this script, please check the link in my signature or profile status.
[AboBassel] RS + RS.ROC + Inverted ATR (Unified Channel)
This is a multi-indicator channel tool combining Relative Strength (RS), RS Rate of Change (RS.ROC), and Inverted ATR Percentage (ATRP) into a single unified channel for clear visual trend analysis.
Features:
• All three lines are normalized into one visual channel with five distinctive threshold levels (Upper/Lower Curbs, Inner Bands, and Middle).
• RS , ATR , ROC Lines all are invertable for better follow up on trends
• RS.ROC period and timeframe are editable independently from RS.
• ATR time frame and lookback period are fully adjustable.
• Channel thresholds are fully editable. Lines can exceed upper/lower curbs, showing extreme conditions.
• Suitable for trend detection, swing trading, and risk assessment.
Usage Tips:
• Look for lines crossing bands or curbs for potential trade setups.
• Observe background color for overall market sentiment.
• Major blue arrows indicate strong shifts in trend direction.
Ideal For: Swing traders, trend followers, and advanced technical analysts who want combined momentum, volatility, and relative strength insights in a single chart.
Manual "Frozen" ATR Multi-Levels [Fixed Fibonacci Style]Overview
This tool is designed for traders who use ATR (Average True Range) to set their take-profit and stop-loss levels but are tired of standard ATR indicators that "wiggle" or move as volatility changes during the trade.
Unlike standard indicators, this tool behaves like a drawing tool (similar to a Fibonacci Retracement). You click your entry price once, input the current ATR value, and the script "freezes" 8 perfectly horizontal, dashed levels on your chart.
Key Features
Custom Entry Anchor: Click anywhere on the chart to set your "Open Price."
No-Wiggle Levels: Once placed, the lines stay perfectly straight, regardless of how the live ATR fluctuates.
Strategic Labels:
+1 to +5 ATR: Clear upside targets for scaling out.
-2 ATR STOP LOSS: Automatically labeled for disciplined risk management.
-3 ATR EMER STOP: A final "Emergency Stop" level for high-volatility events.
High Visibility: Heavy dashed lines with color-coded labels (Green for Profit, Red for Risk, Gray for Entry).
Fully Customizable: Toggle any level on/off to keep your chart clean.
How to Use
Note the current ATR value from your preferred timeframe.
Load this script and click your Entry/Open Price on the chart.
In the Settings box that appears, type the ATR value into the "Manual ATR Value" field.
VolumeX Candle Engine By GRID N GRITSWhat it is
Volume X Candle Engine is a price-action + volume system that converts raw candles into a clear control narrative — using candle anatomy, relative volume, and a buyer/seller control heatmap to show who’s actually in charge of price.
It’s built to answer one question fast:
Is this move real, or is it just noise?
Core Features
1) Volume-Weighted Candle Classification
Candles are evaluated in relative volume context, not isolation.
You immediately see:
high-participation candles (real intent)
low-participation candles (drift / chop)
volume spikes (events, stops, forced moves)
exhaustion vs continuation (same size candle, different meaning)
2) Candle Strength & Control Readout
Candle bodies vs wicks are combined with volume to identify:
Control candles → clean bodies, follow-through favored
Rejection candles → dominant wicks, failed attempts
Indecision candles → balance, no clear winner
Wicks tell the story. Volume tells whether the story matters.
3) Buyer / Seller Control Heatmap (Background)
A background heatmap visually shows who has control:
buyer-dominant zones
seller-dominant zones
fading control / transition areas
This lets you:
see trend pressure without staring at indicators
spot shifts in control before price fully reacts
instantly recognize when moves are being absorbed or supported
It’s contextual, not noisy — meant to support the candles, not override them.
4) “Decision Candle” Detection
The engine highlights candles that tend to matter most:
first break of structure
first failed reclaim
first control flip at key levels
These are your pay-attention moments, not random signals.
5) Trend vs Chop Filtering
Helps separate:
trend conditions → continuation more likely
chop conditions → fakeouts & whipsaws more likely
So you stop forcing trades in environments that punish impatience.
6) Momentum Shift & Fatigue Awareness
Detects early warning signs:
rising price + declining volume
repeated wick rejection at the same level
large candle with no follow-through
volume spikes after extended moves (climax risk)
This is about risk awareness, not prediction.
7) Reversal Risk Zones
Identifies areas where continuation becomes fragile:
extended runs with waning participation
heavy rejection inside control zones
control heatmap fading near prior structure
Not calling tops or bottoms — just showing when odds shift.
8) Lower-Timeframe Structure Clarity
On 5m / 15m / 30m:
clearer reads on who’s winning the fight
earlier clues of control shifts
better alignment with higher-timeframe structure
Lower TF doesn’t predict higher TF — it gives a glimpse into pressure.
9) Clean, Readable Visual Design
Designed for speed:
minimal noise
candle-first visuals
background heatmap for context
no cluttered dashboards or signal spam
StradihgyOverview
This is a structured intraday trading framework built around identifying when market conditions are actually worth participating in. Instead of forcing trades, the system is designed to engage when price behavior shows alignment, participation, and directional intent.
The goal is not signal volume. The goal is quality control.
Core Design
* Multi-layer confluence must align before a setup appears
* Filters are in place to reduce participation during unstable or inefficient price conditions
* Focuses on sustained movement rather than emotional spikes
* Context and structure are evaluated together, not in isolation
The framework behaves more like a decision engine than a traditional indicator.
Adaptive Participation
While the system is naturally selective, it is also built with adaptive engagement logic.
When market conditions become favorable such as clean structure, sustained flow, and strong participation, the model can be configured to increase trade frequency and take advantage of extended opportunity windows.
In quieter or less organized environments, it scales back automatically.
This allows traders to shift between:
Precision mode (high selectivity)
Opportunity mode (increased participation during strong conditions)
Trade Management Philosophy
Management is a defining component of the framework:
* Trades aim to capture efficient portions of movement
* Exposure is reduced when structure weakens or opposing pressure builds
* Exit logic is systematic and condition based
This keeps performance driven by process rather than hope.
Performance Style
Traders can expect:
* Structured setups during organized price action
* Lower noise compared to reactive indicators
* A process driven approach
* Stability focused trade behavior
The design prioritizes consistency mechanics over aggressive risk exposure.
Who This Fits
Best suited for traders who value:
* Rule based execution
* Context-aware setups
* Risk conscious participation
* A system that adapts instead of forcing trades
Closing Note
This is a process-first trading framework built around structure, control, and adaptability. It is designed to operate in real market conditions not idealized ones and can be tuned for both selectivity and opportunity expansion when conditions justify it.
Use responsibly alongside proper risk management. Not financial advice. Feel free to message me for access.
NWOG/NDOG + Quarterly Theory (Dark Theme)Description: NWOG/NDOG + Quarterly Theory (Integrated)
This indicator combines two powerful price action concepts into a single, cohesive tool designed for intraday and swing traders. By merging Opening Gaps with Time-Based Quarterly Theory, traders can identify high-probability institutional footprints and manipulation cycles on a single chart.
🌓 The Concept
This script bridges the gap between Static Price Levels (Opening Gaps) and Dynamic Time Windows (Quarterly Cycles). It allows you to see how price reacts to structural gaps during specific phases of the weekly market cycle (Accumulation, Manipulation, Distribution).
🚀 Key Features
1. NWOG & NDOG (New Week/Day Opening Gaps)
Based on ICT concepts, these gaps represent "true" institutional openings.
Automatic Gap Detection: Plots New Week (NWOG) and New Day (NDOG) gaps.
Consequent Encroachment (C.E.): Optional toggle to view the 50% equilibrium level of every gap.
Historical Tracking: Look back at previous gaps to find "Event Horizons" where multiple gaps overlap or align.
Dark Mode Optimized: Clean, high-contrast UI tailored for dark-themed terminals.
2. Quarterly Theory (Weekly Cycles)
Divides the trading week into four distinct "Quarters," each with a specific institutional objective:
Q1 (Monday): Accumulation – Defines the initial range.
Q2 (Tuesday): Manipulation – Features the "Judas Swing" and Fakeouts.
Q3 (Wednesday): Distribution – The primary trend expansion of the week.
Q4 (Thursday): Extension/Reversal – The final push or weekly profit-taking.
3. Confluence Tools
Weekly True Open: Highlights the Tuesday 00:00 opening price, a critical pivot for bullish or bearish bias.
Fakeout Detection: Identifies potential traps when price sweeps the Monday range but fails to hold, confirmed by VWAP and True Open confluence.
Monday Range Box: Automatically draws the high/low boundary of the first quarter.
🛠 How to Use
Identify the Bias: Use the Weekly True Open (Red Line). If price is above the True Open during Q3, look for long distribution.
Locate Liquidity: Look for NWOG/NDOG levels that sit just outside the Monday Range. These are prime targets for the Q2 Manipulation phase.
Entry Confluence: A "Fakeout" signal occurring at a New Day Opening Gap level provides a high-probability "SMT-style" or "Stop Run" entry.
⚖️ Credits & Original Authors
This script is a collaborative merge and refinement of existing institutional logic:
NWOG/NDOG Logic: Based on the framework by cryptonnnite.
Quarterly Theory Logic: Based on the Weekly Quarters/Time-Price theory.
Refinement: Optimized for standalone performance (library-free) and Dark Theme visibility.
Disclaimer: Trading involves significant risk. This tool is for educational purposes and should be used in conjunction with a complete trading plan.
Multi-Asset Rotation ModelOverview
This indicator provides a quantitative framework for analyzing a dual-leg rotation model between growth assets (Equities) and defensive assets (Precious Metals). It uses a mathematical approach—selectable between DMI-based Trend Spread or Rate of Change (ROC)—to determine relative strength and simulate a hypothetical rebalanced portfolio.
How it Works
The script evaluates two primary "legs" of a portfolio:
Domestic Growth: Rotates between Midcap (NSE:NIFTYMIDSML400) and Metals based on relative momentum.
International Growth: Rotates between NASDAQ-100 (NSE:MON100) and Metals.
Hedge Logic: When the model shifts to defensive mode, it further splits the allocation between Gold and Silver based on their internal relative strength.
Key Features
Dual Signal Engine: Toggle between a DMI (Directional Movement Index) spread or simple ROC (Rate of Change) to suit your research style.
Friction Modeling: Includes a user-defined "Slippage" input to account for the impact of transaction costs and tracking errors in hypothetical historical data.
Performance Dashboard: Displays total return, CAGR (Average Annual Return), Sharpe Ratio, and Rolling Returns for the model vs. benchmarks.
Dynamic Visualization: The Strategy NAV line changes color based on the model's current regime (Aggressive vs. Defensive).
Compliance & Risk Warning
Hypothetical Performance: This script displays a "Net Asset Value" (NAV) line based on historical data. These results are hypothetical and do not represent actual trading.
Educational Use Only: This tool is intended for research and backtesting analysis. It does not provide trade signals or investment advice.
No Future Predictions: Past performance, as modeled here, is not indicative of future market behavior.
Pacco LevelsGEX (BTC) v2Pacco LevelsGEX (BTC) is a Bitcoin level-mapping indicator that turns a user-pasted CSV (exported by my dashboard) into a complete on-chart map of key dealer/option-driven zones and targets.
What you get on the chart
Automatic horizontal levels from the CSV (e.g., ZGL, GEX+, GEX-, Confluence, Tail Gamma, MaxPain, Vol50/Vol95, Charm/Delta/Vega targets, etc.).
Right-side labels with price + level name, plus an optional short explanation to speed up interpretation.
Controls for line thickness, label size, and right-side spacing, with either:
Built-in color coding per level type, or
An optional single custom color for all levels.
Gamma/Delta by level (Profile mode)
If the CSV includes gamma_usd and delta_usd for each level, the indicator can draw a horizontal profile bar at every mapped price:
Gamma Profile (gamma_usd) or Delta Profile (delta_usd)
Profile position: Centered / Left / Right
Adjustable maximum width, thickness, and transparency
When multiple labels share the same price, the script consolidates them and sums Gamma/Delta to show the combined impact at that level.
ZGL regime background
ZGL is used as a regime reference to paint either:
A band around ZGL (height configurable as a %), or
The entire panel (green above ZGL / red below), with configurable transparency.
Extra context
If present in the CSV, the script displays Impl. Move Day in a top-right info box.
CSV format expected (example)
The script reads a flat comma-separated list like:
KEY,PRICE,gamma_usd,delta_usd, KEY,PRICE,gamma_usd,delta_usd, ...
Some keys may provide only a single value (e.g., Impl. Move Day,VALUE).
Why this script is protected (closed-source)
This script is published as protected because it implements a specific CSV parsing + aggregation workflow designed to match my dashboard’s export structure (including multi-level consolidation and profile aggregation) and to keep that workflow consistent across my tooling.
The description above explains the indicator’s outputs, inputs, and usage so traders can evaluate it without needing the full source.
How to use
Add the indicator to a BTC chart
Paste the dashboard CSV into “Paste BTC CSV” input
(Optional) Enable Profile mode and choose Gamma or Delta
Choose ZGL background mode (Band or Full Panel)
Disclaimer: For educational/informational purposes only. Not financial advice.
Simple Buy The Dip (Signals + TP/SL)take buy the dip profits. adjust timeframe and settings according to symbol.
STDV Extension Zones from Daily Open - OnlyFlowSTDV Extension Zones from Daily Open
This indicator plots standard deviation extension zones based on the current day’s opening price. At the start of each trading day, it calculates the daily standard deviation using a configurable lookback and projects price zones at ±0.5 and ±1.0 standard deviations above and below the daily open.
Each zone is displayed as a horizontal band with a center line and a customizable thickness, extending forward throughout the session. Zones automatically reset and lock in place when a new day begins, preserving prior sessions for historical context.
The indicator is designed to visually highlight statistically significant price extensions relative to the daily open, helping users quickly identify areas where price may be stretched, balanced, or reacting around volatility-based levels.
