LVN/HVN Auto Detection [PhenLabs]📊 PhenLabs - LVN/HVN Auto Detection
Version: PineScript™ v6
📌 Description
The PhenLabs LVN/HVN Auto Detection indicator is an advanced volume profile analysis tool that automatically identifies Low Volume Nodes (LVN) and High Volume Nodes (HVN) across multiple trading sessions. This sophisticated indicator analyzes volume distribution patterns to pinpoint critical support and resistance levels where price is likely to react, providing traders with high-probability zones for entries, exits, and risk management.
Unlike traditional volume indicators that only show current activity, this tool builds comprehensive volume profiles from historical sessions and intelligently filters the most significant levels. It combines real-time volume analysis with dynamic level detection, offering both visual bubbles for immediate volume activity and persistent horizontal lines that act as ongoing support/resistance references.
🚀 Points of Innovation
Multi-Session Volume Profile Analysis - Automatically calculates and analyzes volume profiles across the last 5 trading sessions
Intelligent Level Separation Logic - Prevents overlapping signals by maintaining minimum separation between LVN and HVN levels
Dynamic Timeframe Adaptation - Automatically adjusts session lengths based on chart timeframe for optimal level detection
Real-Time Activity Bubbles - Shows volume activity strength through different bubble sizes at key levels
Persistent Line Management - Creates horizontal lines that extend until price crosses them, providing ongoing reference points
Dual Threshold System - Independent percentage-based thresholds for both LVN and HVN identification
🔧 Core Components
Volume Profile Engine : Builds 20-row volume profiles for each analyzed session, distributing volume across price levels
Level Identification Algorithm : Uses percentage-based thresholds to classify volume distribution patterns
Separation Logic : Ensures minimum distance between conflicting levels, prioritizing HVN when overlap occurs
Line Management System : Tracks active support/resistance lines and removes them when price crosses through
Volume Activity Monitor : Compares current volume to 13-period moving average for activity classification
🔥 Key Features
Customizable Thresholds : LVN threshold (5-35%, default 20%) and HVN threshold (65-95%, default 80%) for precise level filtering
Volume Activity Multiplier : Adjustable volume threshold (0.5+, default 1.5) for bubble and line creation sensitivity
Flexible Display Modes : Choose between Lines only, Bubbles only, or Both for optimal chart clarity
Smart Level Separation : Minimum separation percentage (0.1-2%, default 0.5%) prevents conflicting signals
Color Customization : Independent color controls for LVN (red) and HVN (blue) elements
Performance Optimization : Processes every 15 bars with maximum 500 active lines for smooth operation
🎨 Visualization
Colored Bubbles : Three sizes (large, medium, small) indicate volume activity strength at key levels
Horizontal Lines : Persistent support/resistance lines with width corresponding to volume activity
Dual Color System : Semi-transparent red for LVN areas, semi-transparent blue for HVN zones
Information Tooltip : Optional table showing usage guidelines and optimization tips
📖 Usage Guidelines
Volume Thresholds
LVN Threshold
○ Default: 20.0%
○ Range: 5.0-35.0%
○ Description: Price levels with volume below this percentage are marked as LVNs. Lower values create fewer, more significant levels. Typical range 15-25% works for most instruments.
HVN Threshold
○ Default: 80.0%
○ Range: 65.0-95.0%
○ Description: Price levels with volume above this percentage are marked as HVNs. Higher values create fewer, stronger levels. Range 75-85% is optimal for most trading.
Display Controls
Volume Threshold
○ Default: 1.5
○ Range: 0.5+
○ Description: Multiplier for volume significance (High=2+threshold, Medium=1+threshold, Low=0+threshold). Higher values require more volume for signals.
✅ Best Use Cases
Swing Trading : Identify key levels for position entries and exits over multiple days
Scalping : Use bubbles for immediate volume activity confirmation at critical levels
Risk Management : Place stops beyond LVN levels where price moves quickly
Breakout Trading : Monitor HVN levels for potential breakout or rejection scenarios
Multi-Timeframe Analysis : Combine with higher timeframe levels for confluence
⚠️ Limitations
Timeframe Sensitivity : Lower timeframes may produce too many levels; higher timeframes recommended for cleaner signals
Volume Data Dependency : Accuracy depends on reliable volume data from your data provider
Historical Analysis : Uses past volume data which may not predict future price behavior
Performance Impact : High number of active lines may affect chart performance on slower devices
💡 What Makes This Unique
Automated Session Analysis : No manual drawing required - automatically analyzes multiple sessions
Intelligent Filtering : Advanced separation logic prevents overlapping and conflicting signals
Adaptive Processing : Adjusts to different timeframes automatically for optimal level detection
Dual Visualization System : Combines persistent lines with real-time activity indicators
🔬 How It Works
1. Volume Profile Construction :
Analyzes the last 5 trading sessions with dynamic session length based on timeframe
Divides each session’s price range into 20 equal levels for volume distribution analysis
2. Level Classification :
Calculates volume percentage at each price level relative to session maximum
Identifies LVN levels below threshold and HVN levels above threshold
3. Signal Generation :
Creates bubbles when volume activity exceeds thresholds at identified levels
Draws horizontal lines that persist until price crosses through them
💡 Note : For optimal results, increase your chart timeframe if you see too many levels. The indicator performs best on 15-minute and higher timeframes where volume patterns are more meaningful and less noisy.
Penunjuk dan strategi
Simple Multi-Timeframe Trends with RSI (Realtime)Simple Multi-Timeframe Trends with RSI Realtime Updates
Overview
The Simple Multi-Timeframe Trends with RSI Realtime Updates indicator is a comprehensive dashboard designed to give you an at-a-glance understanding of market trends across nine key timeframes, from one minute (M1) to one month (M).
It moves beyond simple moving average crossovers by calculating a sophisticated Trend Score for each timeframe. This score is then intelligently combined into a single, weighted Confluence Signal , which adapts to your personal trading style. With integrated RSI and divergence detection, SMTT provides a powerful, all-in-one tool to confirm your trade ideas and stay on the right side of the market.
Key Features
Automatic Trading Presets: The most powerful feature of the script. Simply select your trading style, and the indicator will automatically adjust all internal parameters for you:
Intraday: Uses shorter moving averages and higher sensitivity, focusing on lower timeframe alignment for quick moves.
Swing Trading: A balanced preset using medium-term moving averages, ideal for capturing trends that last several days or weeks.
Investment: Uses long-term moving averages and lower sensitivity, prioritizing the major trends on high timeframes.
Advanced Trend Scoring: The trend for each timeframe isn't just "up" or "down". The score is calculated based on a combination of:
Price vs. Moving Average: Is the price above or below the MA?
MA Slope: Is the trend accelerating or decelerating? A steep slope indicates a strong trend.
Price Momentum: How quickly has the price moved recently?
Volatility Adjustment: The score's quality is adjusted based on current market volatility (using ATR) to filter out choppy conditions.
Weighted Confluence Score: The script synthesizes the trend scores from all nine timeframes into a single, actionable signal. The weights are dynamically adjusted based on your selected Trading Style , ensuring the most relevant timeframes have the most impact on the final result.
Integrated RSI & Divergence: Each timeframe includes a smoothed RSI value to help you spot overbought/oversold conditions. It also flags potential bullish (price lower, RSI higher) and bearish (price higher, RSI lower) divergences, which can be early warnings of a trend reversal.
Clean & Customizable Dashboard: The entire analysis is presented in a clean, easy-to-read table on your chart. You can choose its position and optionally display the raw numerical scores for a deeper analysis.
How to Use It
1. Add to Chart: Apply the "Simple Multi-Timeframe Trends" indicator to your chart.
2. Select Your Style: This is the most important step. Go to the indicator settings and choose the Trading Style that best fits your strategy (Intraday, Swing Trading, or Investment). All calculations will instantly adapt.
3. Analyze the Dashboard:
Look at the Trend row to see the direction and strength of the trend on individual timeframes. Strong alignment (e.g., all green or all red) indicates a powerful, market-wide move.
Check the RSI row. Is the trend overextended (RSI > 60) or is there room to run? Look for the fuchsia color, which signals a divergence and warrants caution.
Focus on the Signal row. This is your summary. A "STRONG SIGNAL" with high alignment suggests a high-probability setup. A "NEUTRAL" or "Weak" signal suggests waiting for a better opportunity.
4. Confirm Your Trades: Use the SMTT dashboard as a confirmation tool. For example, if you are looking for a long entry, wait for the dashboard to show a "BULLISH" or "STRONG SIGNAL" to confirm that the broader market structure supports your trade.
Dashboard Legend
Trend Row
This row shows the trend direction and strength for each timeframe.
⬆⬆ (Dark Green): Ultra Bullish - Very strong, established uptrend.
⬆ (Green): Strong Bullish - Confident uptrend.
▲ (Light Green): Bullish - The beginning of an uptrend or a weak uptrend.
━ (Orange): Neutral - Sideways or consolidating market.
▼ (Light Red): Bearish - The beginning of a downtrend or a weak downtrend.
⬇ (Red): Strong Bearish - Confident downtrend.
⬇⬇ (Dark Red): Ultra Bearish - Very strong, established downtrend.
RSI Row
This row displays the smoothed RSI value and its condition.
Green Text: Oversold (RSI < 40). Potential for a bounce or reversal upwards.
Red Text: Overbought (RSI > 60). Potential for a pullback or reversal downwards.
Fuchsia (Pink) Text: Divergence Detected! A potential reversal is forming.
White Text: Neutral (RSI between 40 and 60).
Signal Row
This is the final, weighted confluence of all timeframes.
Label:
🚀 STRONG SIGNAL / 💥 STRONG SIGNAL: High confluence and strong momentum.
🟢 BULLISH / 🔴 BEARISH: Clear directional bias across relevant timeframes.
🟡 Weak + / 🟠 Weak -: Minor directional bias, suggests caution.
⚪ NEUTRAL: No clear directional trend; market is likely choppy or undecided.
Numerical Score: The raw weighted confluence score. The further from zero, the stronger the signal.
Alignment %: The percentage of timeframes (out of 9) that are showing a clear bullish or bearish trend. Higher percentages indicate a more unified market.
Open Interest Footprint IQ [TradingIQ]Hello Traders!
Th e Open Interest Footprint IQ indicator is an advanced visualization tool designed for cryptocurrency markets. It provides a granular, real-time breakdown of open interest changes across different price levels, allowing traders to see how aggressive market participation is distributed within each bar.
Unlike standard footprint charts that rely solely on volume, this indicator offers unique insights by focusing on the interaction between price action and changes in open interest (OI) — a leading metric often used to infer trader intent and positioning.
How it works
The Open Interest Footprint IQ processes lower timeframe price and open interest data to build a footprint-style chart that shows how traders are positioning themselves within each candle.
Here’s a breakdown of the process:
1. Granular OI & Price Sampling
The script retrieves lower-timeframe data (1-minute, 1-second, or 1-tick, based on your setting).
For each candle, it captures:
High and low prices
Price change direction
Change in open interest (OI)
2. Classifying Trader Behavior
For each lower-timeframe segment, the indicator determines the type of positioning occurring based on price movement and OI change:
If price is moving up and open interest is increasing, it suggests that long positions are being opened. This is considered a "Longs Opening" event, labeled as UU (Up/Up).
If price is moving up but open interest is decreasing, it indicates that short positions are being closed. This is referred to as UD (Up/Down), or "Shorts Closing."
If price is moving down and open interest is increasing, it signals that short positions are being opened. This is known as DU (Down/Up), or "Shorts Opening."
If price is moving down while open interest is also decreasing, it means that long positions are being closed. This is labeled as DD (Down/Down), or "Longs Closing."
These are stored in separate arrays and displayed at specific price levels.
It is particularly useful for identifying:
Where longs or shorts are opening/closing positions
Stacked imbalances (indicative of potential absorption or exhaustion)
Value area zones and POC (Point of Control) based on OI, not volume
This footprint runs on your choice of sub-bar granularity and is ideal for high-frequency trading, scalping, and entries based on order flow dynamics.
Key Features
Footprint Visualization
At each price level within a candle:
Long/short opening and closing behavior is broken down.
Delta (net open interest change) is displayed both numerically and color-coded.
Optional gradient coloring shows intensity and type of flow (longs/shorts opened/closed).
Cumulative or per-bar reset modes allow you to track OI evolution over time.
The image above explains the information that each Footprint box shows across a candlestick!
Each footprint box shows:
OI Delta
OI Delta %
Longs Opened (LO)
Longs Closed (LC)
Shorts Opened (SO)
Shorts Closed (SC)
The image above explains the color-coding feature of the indicator.
Boxes are color coded to show which position action
dominated at the price area.
For this example:
Green boxes = Long positions being opened dominated
Purple boxes = Long positions being closed dominated
Red boxes = Short positions being opened dominated
Yellow boxes = Short positions being closed dominated
All colors are customizable.
Additionally, for traders who are only interested in whether OI increased/decreased, a "two-color" option is available in the settings.
For the two-color option, footprint boxes can be one of two colors. Showing whether OI increased or decreased at the level.
Cumulative Levels
Open Interest Footprint IQ contains a "Cumulative Levels" feature that tracks/stores open interest change at tick levels over time, rather than resetting per bar.
With the "Cumulative Levels" feature enabled, traders can see open interest changes persist across all candlesticks. This feature is useful for determining whether longs opening, longs closing, shorts opening, or shorts closing are dominating at particular price areas over time rather than on a single bar.
A useful feature to see if shorts/longs are favoring certain price throughout the day, week, month, etc.
Input Settings Explained
Granularity (Dropdown: Granularity)
Options: 1-Minute, 1-Second, 1-Tick
Determines how finely the script samples the lower timeframe data to construct the footprint.
For precision:
1-Tick = Highest accuracy, but more resource-intensive.
1-Second/1-Minute = Suitable for broader or more zoomed-out analysis.
Tick Level Distance (Tick Level Distance (0 = Auto))
Defines the vertical spacing between levels in the footprint chart.
If 0, the script uses an automatic calculation based on ATR to adapt to volatility.
Set a manual value (e.g., 5) to control the height granularity of each level in ticks.
Cumulative Levels (Toggle)
If enabled, the footprint builds cumulatively over time, rather than resetting per candle.
Use case: Visualize ongoing buildup of OI activity across a session or day.
Cumulative Levels Reset TF (Timeframe)
Sets the reset interval for the cumulative view (e.g., reset daily, hourly, etc.)
Works only when Cumulative Levels is enabled.
Delta Box Display Settings
Show Delta Percentage
Toggles the display of the percentage change in OI across the footprint level.
Helpful to gauge how aggressive positioning is relative to total OI at that level.
Show Longs/Shorts (Opened/Closed)
Show Longs Opened: Displays OI increase in up candles (price ↑, OI ↑).
Show Longs Closed: Displays OI decrease in down candles (price ↓, OI ↓).
Show Shorts Opened: OI increase in down candles (price ↓, OI ↑).
Show Shorts Closed: OI decrease in up candles (price ↑, OI ↓).
These behaviors are color-coded to give traders instant context:
Blue-green for longs opening.
Purple for longs closing.
Red for shorts opening.
Yellow for shorts closing.
Value Area & POC
Value Area % (Value Area %)
Controls how much cumulative open interest is used to define the value area.
Example: 70% means the smallest range of prices that contains 70% of total OI in that bar will be marked.
Helps identify zones of interest, support/resistance, and institutional levels.
The image above explains how to identify the VAH/VAL/POC shown by Open Interest Footprint IQ.
VAH = Upper 🞂
POC = ●
VAL = Lower 🞂
Imbalances
Imbalance Percentage
Defines the minimum delta % required at a level to be marked as an imbalance.
If the net open interest change at a level exceeds this threshold, a visual marker appears.
Stacked Imbalance Count
If the number of consecutive imbalance levels meets this count, a “Stacked Imbalance” alert will trigger.
This can signal aggressive buying or selling pressure, potential breakout zones, or institutional absorption.
Color Settings
Longs Opened / Closed, Shorts Opened / Closed
Customize the color palette for each order flow behavior.
These colors appear in the background gradient of the footprint boxes.
Up/Down Only Mode
Toggle to override all behavior-based colors with a single Up Color and Down Color.
Useful if you prefer a simple bull/bear view.
Up Color / Down Color
If "Up/Down Only" is enabled, these two colors are used to represent all net positive or negative deltas.
Special Notes
Crypto only: This script works only with crypto tickers on TradingView.
For other assets (stocks, futures), a warning message will appear instead.
OI data must be available from the exchange (many perpetual pairs support this).
If the footprint is too small or invisible, increase your tick level spacing in the settings.
Alerts
When a stacked imbalance is detected, an alert is fired ("Stacked Imbalance").
This feature is useful for automated systems, bots, or simply staying informed of potential trade setups.
And that's all for now!
If you have any questions or features you'd like to see feel free to share them in the comments below!
Thank you traders!
First 15-min Candle High/LowFirst 15-Min Candle High/Low – Intraday Range Indicator
This script plots the High and Low of the first 15-minute candle of the trading day using:
🟢 Green horizontal line for the first 15-min High
🔴 Red horizontal line for the first 15-min Low
These levels are commonly used by intraday traders as:
Breakout zones
Support/resistance levels
Entry/exit reference points
The script is designed to reset daily and is especially helpful for index and equity traders operating during market open volatility.
⏰ Optimized for markets operating in IST (Indian Standard Time), such as NSE/BSE, starting at 09:15 AM.
🛠️ How to Use:
Apply on 15-minute or lower timeframes
Ideal for breakout strategies, opening range setups, or volatility scalping
US30 Stealth StrategyOnly works on US30 (CAPITALCOM) 5 Minute chart
📈 Core Concept:
This is a trend-following strategy that captures strong market continuations by entering on:
The 3rd swing in the current trend,
Confirmed by a volume-verified engulfing candle,
With adaptive SL/TP and position sizing based on risk.
🧠 Entry Logic:
✅ Trend Filter
Uses a 50-period Simple Moving Average (SMA).
Buy only if price is above SMA → Uptrend
Sell only if price is below SMA → Downtrend
✅ Swing Count Logic
For buy: Wait for the 3rd higher low
For sell: Wait for the 3rd lower high
Uses a 5-bar lookback to detect highs/lows
This ensures you’re not buying early — but after trend is confirmed with structure.
✅ Engulfing Candle Confirmation
Bullish engulfing for buys
Bearish engulfing for sells
Candle must engulf previous bar completely (body logic)
✅ Volume Filter
Current candle volume must be greater than the 20-period volume average
Ensures trades only occur with institutional participation
✅ MA Slope Filter
Requires the slope of the 50 SMA over the last 3 candles to exceed 0.1
Avoids chop or flat trends
Adds momentum confirmation to the trade
✅ Session Filter (Time Filter)
Trades only executed between:
2:00 AM to 11:00 PM Oman Time (UTC+4)
Helps avoid overnight chop and illiquidity
📊 Position Sizing & Risk Management
✅ Smart SL (Adaptive Stop Loss)
SL is based on full size of the signal candle (including wick)
But if candle is larger than 25 points, SL is cut to half the size
This prevents oversized risk from long signals during volatile moves.
ATR Spike KienthogoATR Spike Kienthogo
This indicator, titled "ATR Spike Kienthogo", is designed to visualize volatility spikes in the market by comparing the current Average True Range (ATR) against a dynamic threshold. The threshold is calculated as an EMA-smoothed ATR multiplied by a user-defined factor. When the current ATR exceeds this threshold, the indicator highlights it as a spike event, further classified by price direction (up or down).
The script features:
Configurable ATR smoothing methods: RMA, SMA, EMA, WMA.
Customizable spike detection threshold via spike_multiple.
Conditional color plotting of ATR:
Spike + Price Up → Green
Spike + Price Down → Red
Non-spike → User-defined neutral color, adaptive to candle direction (greenish for bullish candles, reddish for bearish candles).
This script is especially useful for:
Detecting volatility expansions.
Enhancing entry/exit timing during strong directional moves.
Confirming breakout strength or trap signals in low-volatility regimes.
The logic maintains clean separation between spike vs. non-spike conditions and offers full control over color coding for better visual integration in multi-indicator environments.
Initial balance - weeklyWeekly Initial Balance (IB) — Indicator Description
The Weekly Initial Balance (IB) is the price range (High–Low) established during the week’s first trading session (most commonly Monday). You can measure it over the entire day or just the first X hours (e.g. 60 or 120 minutes). Once that session ends, the IB High and IB Low define the key levels where the initial weekly range formed.
Why Measure the Weekly IB?
Week-Opening Sentiment:
Monday’s range often sets the tone for the rest of the week. Trading above the IB High signals bullish control; trading below the IB Low signals bearish control.
Key Liquidity Zones:
Large institutions tend to place orders around these extremes, so you’ll frequently see tests, breakouts, or rejections at these levels.
Support & Resistance:
The IB High and IB Low become natural barriers. Price will often return to them, bounce off them, or break through them—ideal spots for entries and exits.
Volatility Forecast:
The width of the IB (High minus Low) indicates whether to expect a volatile week (wide IB) or a quieter one (narrow IB).
Significance of IB Levels
Breakout:
A clear break above the IB High (for longs) or below the IB Low (for shorts) can ignite a strong trending move.
Fade:
A rejection off the IB High/Low during low momentum (e.g. low volume or pin-bar formations) offers a high-probability reversal trade.
Mid-Point:
The 50% level of the IB range often “magnetizes” price back to it, providing entry points for continuation or reversal strategies.
Three Core Monday IB Strategies
A. Breakout (Open-Range Breakout)
Entry: Wait for 1–2 candles (e.g. 5-minute) to close above IB High (long) or below IB Low (short).
Stop-Loss: A few pips below IB High (long) or above IB Low (short).
Profit-Target: 2–3× your risk (Reward:Risk ≥ 2:1).
Best When: You spot a clear impulse—such as a strong pre-open volume spike or news-driven move.
B. Fade (Reversal at Extremes)
Entry: When price tests IB High but shows weakening momentum (shrinking volume, upper-wick candles), enter short; vice versa for IB Low and longs.
Stop-Loss: Just beyond the IB extreme you’re fading.
Profit-Target: Back toward the IB mid-point (50% level) or all the way to the opposite IB extreme.
Best When: Monday’s action is range-bound and lacks a clear directional trend.
C. Mid-Point Trading
Entry: When price returns to the 50% level of the IB range.
In an up-trend: buy if it bounces off mid-point back toward IB High.
In a down-trend: sell if it reverses off mid-point back toward IB Low.
Stop-Loss: Just below the nearest swing-low (for longs) or above the nearest swing-high (for shorts).
Profit-Target: To the corresponding IB extreme (High or Low).
Best When: You see a strong initial move away from the IB, followed by a pullback to the mid-point.
Usage Steps
Configure your session: Measure IB over your chosen Monday timeframe (whole day or first X hours).
Choose your strategy: Align Breakout, Fade, or Mid-Point entries with the current market context (trend vs. range).
Manage risk: Keep risk per trade ≤ 1% of account and maintain at least a 2:1 Reward:Risk ratio.
Backtest & forward-test: Verify performance over multiple Mondays and in a paper-trading environment before going live.
ICT IRL & ERL ZonesICT IRL & ERL Zones
This indicator visualizes Internal Range Liquidity (IRL) and External Range Liquidity (ERL) levels, based on ICT (Inner Circle Trader) concepts. It's designed to help traders identify key liquidity zones that often act as magnet levels or reversal points in price action.
🔍 How It Works
Lookback Range: The script analyzes the highest high and lowest low over a user-defined number of candles (default: 50).
IRL (Internal Range Liquidity):
Plots the highest high and lowest low within the lookback period.
Represented as orange lines and a shaded zone.
ERL (External Range Liquidity):
Extends the IRL boundaries by a small buffer (50 ticks above/below).
Visualizes zones where price may reach for liquidity beyond the current range.
Plotted as a green (high) and red (low) line.
⚙️ Inputs
Lookback Range: Number of candles to calculate the range (min 5).
Show IRL: Toggle visibility for Internal Range Liquidity zone.
Show ERL: Toggle visibility for External Range Liquidity buffer zone.
📊 Visual Elements
IRL High/Low: Orange lines with fill to mark the main liquidity range.
ERL High/Low: Green and red lines indicating potential liquidity sweep zones.
Zone Fill: Light orange shading to visually emphasize the IRL area.
📈 Use Case
Use this tool to:
Identify areas where price might consolidate or reverse.
Highlight likely zones of liquidity grabs before trend continuations or shifts.
Enhance entry/exit decisions based on smart money concepts.
Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c)Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c
This indicator provides intraday traders with BUY/SELL reversal signals and automated SL (Stoploss) tracking, based on a 3-candle reversal block logic — designed to work exclusively on the 5-min timeframe.
Key Features:
• 3-Candle Reversal Logic — Signals are generated when a defined 3-candle reversal pattern is detected (body-close breakout).
• Current Session Only — All signals and SL lines are valid only for the current session and automatically reset at session start.
• BUY/SELL Signal Labels — Visual ▲ and ▼ labels mark valid reversal signals on the chart.
• Dynamic Auto SL Lines — Plots dashed SL lines based on the reversal block's low/high.
• SL HIT Tracking — If SL is broken, the line stops extending and a ‘SL HIT’ label is displayed at the midpoint of the SL line.
• Adjustable Visual Settings — Customize signal label size, SL line width, colors, and more.
• Clean & Lightweight — Optimized for intraday use without cluttering the chart.
How to Use:
You can trade this indicator in two ways:
1. Direct Signal Entry — Take a BUY or SELL trade when a valid ▲/▼ reversal signal forms.
2. SL HIT Re-entry — If an existing SL line is broken and ‘SL HIT’ appears, you can optionally take an opposite side trade in the direction of the SL HIT.
Example:
A BUY signal is generated and an SL line is plotted below.
If price breaks the SL (SL HIT appears), you may consider entering a SELL trade at that point — as it indicates weakness.
Important Notes:
• Works only on 5-min timeframe — Set your chart to 5-min for correct behavior.
• Designed for intraday trading — all signals and SL levels reset at session start.
• Does not carry signals between sessions.
• SL lines and HIT labels provide a clear and simple visual aid for trade management.
---
Sell to Buy / Buy to SellSell to Buy / Buy to Sell — Momentum Shift Detector
The Sell to Buy / Buy to Sell indicator detects simple but powerful two-bar momentum shift patterns directly on your chart, offering early insights into potential reversals or strong breakout continuation.
🔎 How it works:
Sell to Buy (StB):
Previous candle (bar -1) is bearish
Current candle (bar 0) is bullish
The bullish candle closes above the high of the previous bearish candle
Confirmed only after bar close
Buy to Sell (BtS):
Previous candle (bar -1) is bullish
Current candle (bar 0) is bearish
The bearish candle closes below the low of the previous bullish candle
Confirmed only after bar close
🎯 Key Features:
✅ Pure price action logic — no indicators, no oscillators
✅ Immediate visual markers:
Green "StB" label for bullish momentum shifts
Red "BtS" label for bearish momentum shifts
✅ Full alert system to notify you in real-time when either pattern occurs
⚙ Who is this for?
Scalpers looking for short-term momentum shifts
Swing traders identifying potential reversals or breakout confirmations
Price action traders who want clean and objective setup detection
The Sell to Buy / Buy to Sell indicator is designed to give you clear and simple signals whenever the market shows decisive strength after a short-term opposite move — potentially marking the start of a new impulse.
RSI Divergence Pro+ VolumeRSI Divergence Pro+ Volume
What It Does:
RSI Divergence Pro+ Volume is a non-repainting indicator that helps traders spot potential bullish and bearish reversal zones using a classic technical analysis concept—RSI divergence—combined with advanced volume confirmation. The script highlights moments when price and RSI disagree, filtering for signals only when there is a significant volume spike, which helps reduce false positives in quiet or illiquid markets.
How It Works:
Bullish Divergence: Triggered when price makes a lower low but RSI forms a higher low, suggesting possible exhaustion in selling pressure.
Bearish Divergence: Triggered when price makes a higher high but RSI forms a lower high, signaling potential buying exhaustion.
Volume Confirmation: Signals only appear when trading volume exceeds a dynamic threshold (based on a user-defined moving average and multiplier), making alerts more reliable.
Visual Features: Customizable labels and optional gradient highlights mark the exact bars where divergence with volume confirmation occurs, making signals easy to see.
Alert System: Built-in alerts for both bullish and bearish divergences so traders can receive instant notifications.
How to Use:
Apply the script to any timeframe or liquid asset (15m–4H recommended for best results).
Watch for green “BULL↑” labels below bars (bullish divergence) and red “BEAR↓” labels above bars (bearish divergence).
Blue/violet background highlights confirm volume-verified signals.
Combine with your own risk management and confirmation tools for trade entries/exits.
Adjust lookback and volume settings to match your asset and style.
Originality & Usefulness:
This indicator stands out by combining traditional RSI divergence with advanced volume filtering, giving more credible and actionable reversal alerts. All logic is non-repainting and calculated on closed bars only. Settings are fully grouped and customizable, with professional visuals for clarity.
Limitations & Disclaimers:
Not every divergence results in a major reversal—use with other analysis.
More effective in trending or volatile markets; may produce more false signals in choppy/range conditions.
Signals are generated on bar close and do not repaint.
No indicator is a substitute for proper trading discipline and risk management.
Engulfing Bar AggressiveEngulfing Bar Aggressive
Engulfing Bar Aggressive is a precise price action indicator designed to detect strong bullish and bearish engulfing patterns in an aggressive way. This tool is perfect for traders who want early and confirmed signals based purely on candle formations, without relying on any indicators or moving averages.
🔍 Core Logic
The indicator scans for 2-bar engulfing patterns with additional strict conditions:
Bullish Engulfing
Current candle closes bullish (close > open).
Previous candle closes bearish (close < open ).
Current close completely engulfs previous open and high.
Current open is below previous close.
Signal triggers only after bar closure (confirmed pattern).
Bearish Engulfing
Current candle closes bearish (close < open).
Previous candle closes bullish (close > open ).
Current close completely engulfs previous open and low.
Current open is above previous close.
Signal triggers only after bar closure (confirmed pattern).
🛠 Features
Clear visual markers on the chart (green for bullish, red for bearish).
Configurable generic alert to receive notifications for any engulfing pattern detected.
Dedicated alerts for bullish and bearish engulfing setups.
Works on any timeframe and any market.
🎯 Use Case
Ideal for breakout traders, reversal traders, or as part of a multi-factor strategy.
Can be combined with support/resistance zones, ATR exhaustion levels, or trend filters for enhanced accuracy.
Volatility-Adjusted Momentum Score (VAMS) [QuantAlgo]🟢 Overview
The Volatility-Adjusted Momentum Score (VAMS) measures price momentum relative to current volatility conditions, creating a normalized indicator that identifies significant directional moves while filtering out market noise. It divides annualized momentum by annualized volatility to produce scores that remain comparable across different market environments and asset classes.
The indicator displays a smoothed VAMS Z-Score line with adaptive standard deviation bands and an information table showing real-time metrics. This dual-purpose design enables traders and investors to identify strong trend continuation signals when momentum persistently exceeds normal levels, while also spotting potential mean reversion opportunities when readings reach statistical extremes.
🟢 How It Works
The indicator calculates annualized momentum using a simple moving average of logarithmic returns over a specified period, then measures annualized volatility through the standard deviation of those same returns over a longer timeframe. The raw VAMS score divides momentum by volatility, creating a risk-adjusted measure where high volatility reduces scores and low volatility amplifies them.
This raw VAMS value undergoes Z-Score normalization using rolling statistical parameters, converting absolute readings into standardized deviations that show how current conditions compare to recent history. The normalized Z-Score receives exponential moving average smoothing to create the final VAMS line, reducing false signals while preserving sensitivity to meaningful momentum changes.
The visualization includes dynamically calculated standard deviation bands that adjust to recent VAMS behavior, creating statistical reference zones. The information table provides real-time numerical values for VAMS Z-Score, underlying momentum percentages, and current volatility readings with trend indicators.
🟢 How to Use
1. VAMS Z-Score Bands and Signal Interpretation
Above Mean Line: Momentum exceeds historical averages adjusted for volatility, indicating bullish conditions suitable for trend following
Below Mean Line: Momentum falls below statistical norms, suggesting bearish conditions or downward pressure
Mean Line Crossovers: Primary transition signals between bullish and bearish momentum regimes
1 Standard Deviation Breaks: Strong momentum conditions indicating statistically significant directional moves worth following
2 Standard Deviation Extremes: Rare momentum readings that often signal either powerful breakouts or exhaustion points
2. Information Table and Market Context
Z-Score Values: Current VAMS reading displayed in standard deviations (σ), showing how far momentum deviates from its statistical norm
Momentum Percentage: Underlying annualized momentum displayed as percentage return, quantifying the directional strength
Volatility Context: Current annualized volatility levels help interpret whether VAMS readings occur in high or low volatility environments
Trend Indicators: Directional arrows and change values provide immediate feedback on momentum shifts and market transitions
3. Strategy Applications and Alert System
Trend Following: Use sustained readings beyond the mean line and 1σ band penetrations for directional trades, especially when VAMS maintains position in upper or lower statistical zones
Mean Reversion: Focus on 2σ extreme readings for contrarian opportunities, particularly effective in sideways markets where momentum tends to revert to statistical norms
Alert Notifications: Built-in alerts for mean crossovers (regime changes), 1σ breaks (strong signals), and 2σ touches (extreme conditions) help monitor multiple instruments for both continuation and reversal setups
Mongoose EMA Ribbon — Pro EditionMongoose EMA Ribbon — Pro Edition
The Mongoose EMA Ribbon is a precision tool designed to support directional bias, trend integrity, and momentum alignment through a structured multi-EMA system. It is built for traders seeking clarity across high-timeframe trend conditions without sacrificing speed or simplicity.
Key Features:
Five customizable EMAs optimized for layered ribbon analysis
Configurable color logic for clean visual separation
Built-in ribbon compression and expansion visibility
Support for ribbon-based trend continuation zones
Optional label and visual tag for real-time trend state
Applications:
Identify trend strength and reversals with ribbon alignment
Detect compression zones that precede directional moves
Support discretionary or system-based trading strategies
Integrates well with price structure and macro overlays
This script is part of the Mongoose Capital toolkit and was developed to meet internal standards for clarity, execution readiness, and cross-asset compatibility.
Version: Pro Edition
Timeframes: Optimized for 1H, 4H, Daily, Weekly
Candle Closer Levels & TP Zones📝 Description:
This indicator is designed to provide intrabar trade levels for high-speed execution strategies, such as scalping and intraday momentum trading.
🧩 Key Features:
Plots High, Low, Mid, and two Quarter Levels on the current candle only, keeping charts clean
Take Profit (TP) lines are calculated as a percentage of candle range, not fixed ticks — this makes it highly adaptable for futures like NQ/ES or volatile markets like crypto
Supports both long and short setups via a simple toggle
Customizable colors, line thickness, and length
Each TP level can be enabled or muted individually
📈 Use Case:
Apply this tool to spot candle-based breakouts or rejections. You can scale TPs dynamically based on the strength of the current candle. This is especially helpful in assets where volatility fluctuates greatly intrabar.
This is not a repackaged built-in indicator — it’s purpose-built for real-time tactical level plotting without historical noise.
Breakout Strategy with Dynamic SL LabelDescription:
This script identifies breakout trading opportunities using adaptive support and resistance levels, adjusted dynamically based on market volatility. A trade signal is generated only when a breakout candle is followed by a confirming close in the same direction. The signal is displayed on the chart as a labeled marker that includes a suggested stop-loss level based on the highest high or lowest low of the past 10 bars, ensuring structure-aware risk management.
🧩 How it Works:
Adaptive S/R Zones: Based on volatility-normalized swing highs/lows using ATR. These zones automatically adjust to changing market conditions.
Confirmation Logic: Trade signals only appear after the second candle confirms the breakout, helping reduce false signals.
Single Signal Rule: Only one buy or sell label is printed per breakout level, avoiding repeated triggers.
Embedded Stop Loss in Label: SL value is calculated from the 10-bar high (for shorts) or low (for longs) and included in the signal label.
⚙️ User Inputs Explained:
Base Swing Strength: Controls the pivot sensitivity; higher values detect stronger reversal points.
Line Duration: Number of bars that horizontal S/R levels remain visible.
ATR Period: Length used to calculate volatility for adaptive S/R logic.
Volatility Sensitivity: Adjusts how responsive the S/R zone strength is to volatility. Higher = more responsive.
Stop-Loss Lookback (Bars): Defines the number of candles to reference when calculating SL from high/low structure.
Max Lines Stored: Controls chart clutter by limiting how many S/R zones are kept active.
🟩 Ideal for:
Breakout traders who value clean structure, confirmation, and built-in risk logic.
Scalpers and swing traders looking for adaptive, low-latency signals without repainting.
Chartists who want minimal indicators but maximum signal clarity.
Heikin RiderHeikin Rider
Smoothed Heikin Ashi Breakout Signals with Flow Confirmation
by Ben Deharde, 2025
Overview:
Heikin Rider is a trend-following indicator that detects clean breakout signals using a custom smoothed Heikin Ashi wave (the H-Wave) with optional confirmation from a flow-based filter. It's designed for traders who want precise, momentum-aligned entries.
What It Does:
Plots dynamic high/low bands from smoothed Heikin Ashi candles.
Triggers Buy/Sell signals on full candle breakouts above/below the wave.
Colors bars based on price position and momentum relative to a custom flow line.
Optionally filters signals based on flow direction.
How the H-Wave Works:
The H-Wave is a two-stage smoothed Heikin Ashi construction:
Pre-smoothing: Price is smoothed using a short-length MA (SMA, EMA, or HMA).
HA Calculation: Heikin Ashi values are calculated from the smoothed data.
Post-smoothing: A second, longer MA is applied to the HA values.
Wave Envelope: The high and low wicks of the final smoothed HA candles form the H-Wave envelope.
Signals are generated when price fully breaks this envelope, with optional confirmation from the flow color.
Inputs:
Trend timeframe
Pre/Post smoothing type and length
Flow MA type and length
Toggle for bar coloring and signal filtering
Notes:
Built with original logic, using the open-source TAExt library (credited).
No repainting — all signals are confirmed at close.
For use on standard candles only (not HA or Renko).
Alerts:
Long Signal (Buy)
Short Signal (Sell)
15m ORB Pip Run with Range HighlightThis marks up the first 15 minute range of the NYSE at 9:30 AM EST.
Then it counts the number of pips that price has run in the direction of the breakout.
The script it not anything amazing.
I just wrote it to help me backtest the 15 minute ORB strategy quickly.
Previous Daily High/LowThe previous day’s high and low are critical price levels that traders use to identify potential support, resistance, and intraday trading opportunities. These levels represent the highest and lowest prices reached during the prior trading session and often act as reference points for future price action.
Why Are Previous Daily High/Low Important?
Support & Resistance Zones
The previous day’s low often acts as support (buyers defend this level).
The previous day’s high often acts as resistance (sellers defend this level).
Breakout Trading
A move above the previous high suggests bullish momentum.
A move below the previous low suggests bearish momentum.
Mean Reversion Trading
Traders fade moves toward these levels, expecting reversals.
Example: Buying near the previous low in an uptrend.
Institutional Order Flow
Market makers and algos often reference these levels for liquidity.
How to Use Previous Daily High/Low in Trading
1. Breakout Strategy
Long Entry: Price breaks & closes above previous high → bullish continuation.
Short Entry: Price breaks & closes below previous low → bearish continuation.
2. Reversal Strategy
Long at Previous Low: If price pulls back to the prior day’s low in an uptrend.
Short at Previous High: If price rallies to the prior day’s high in a downtrend.
3. Range-Bound Markets
Buy near previous low, sell near previous high if price oscillates between them.
Example Trade Setup
Scenario: Price opens near the previous day’s high.
Bullish Case: A breakout above it targets next resistance.
Bearish Case: Rejection at the high signals a pullback.
Greer Revenue Yield📊 Greer Revenue Yield – RPS%
Author: Sean Lee Greer
Date Published: June 23, 2025
🔍 Overview
The Greer Revenue Yield indicator evaluates a stock's Revenue Per Share Yield (RPS%), giving investors a unique lens into how much top-line revenue a company produces per share relative to its stock price. This can help identify under- or over-valued conditions based on fundamental efficiency.
Revenue per Share = Total Revenue ÷ Shares Outstanding
Revenue Yield (%) = Revenue per Share ÷ Stock Price × 100
A simple yet powerful valuation metric, dynamically visualized with smart coloring:
🟢 Green = Yield is above average (potential value opportunity)
🔴 Red = Yield is below average (potentially overvalued)
🧠 Use Case
Use this tool to assess whether a company’s price justifies its revenue output on a per-share basis. Especially useful in combination with other indicators in the Greer Financial Toolkit:
📘 Greer Value – Tracks year-over-year growth consistency across 6 key financial metrics
📊 Greer Value Yields Dashboard – Visualizes multiple valuation-based yields
🟢 Greer BuyZone – Identifies long-term technical entry points based on trend cycles and valuation zones
⚠️ Disclaimer
This script is for educational purposes only and should not be considered financial advice. Always conduct your own research or consult a financial advisor before making investment decisions.
Uptrick: Fusion Trend Reversion SystemOverview
The Uptrick: Fusion Trend Reversion System is a multi-layered indicator designed to identify potential price reversals during intraday movement while keeping traders informed of the dominant short-term trend. It blends a composite fair value model with deviation logic and a refined momentum filter using the Relative Strength Index (RSI). This tool was created with scalpers and short-term traders in mind and is especially effective on lower timeframes such as 1-minute, 5-minute, and 15-minute charts where price dislocations and quick momentum shifts are frequent.
Introduction
This indicator is built around the fusion of two classic concepts in technical trading: identifying trend direction and spotting potential reversion points. These are often handled separately, but this system merges them into one process. It starts by computing a fair value price using five moving averages, each with its own mathematical structure and strengths. These include the exponential moving average (EMA), which gives more weight to recent data; the simple moving average (SMA), which gives equal weight to all periods; the weighted moving average (WMA), which progressively increases weight with recency; the Arnaud Legoux moving average (ALMA), known for smoothing without lag; and the volume-weighted average price (VWAP), which factors in volume at each price level.
All five are averaged into a single value — the raw fusion line. This fusion acts as a dynamically balanced centerline that adapts to price conditions with both smoothing and responsiveness. Two additional exponential moving averages are applied to the raw fusion line. One is slower, giving a stable trend reference, and the other is faster, used to define momentum and cloud behavior. These two lines — the fusion slow and fusion fast — form the backbone of trend and signal logic.
Purpose
This system is meant for traders who want to trade reversals without losing sight of the underlying directional bias. Many reversal indicators fail because they act too early or signal too frequently in choppy markets. This script filters out noise through two conditions: price deviation and RSI confirmation. Reversion trades are considered only when the price moves a significant distance from fair value and RSI suggests a legitimate shift in momentum. That filtering process gives the trader a cleaner, higher-quality signal and reduces false entries.
The indicator also visually supports the trader through colored bars, up/down labels, and a filled cloud between the fast and slow fusion lines. These features make the market context immediately visible: whether the trend is up or down, whether a reversal just occurred, and whether price is currently in a high-risk reversion zone.
Originality and Uniqueness
What makes this script different from most reversal systems is the way it combines layers of logic — not just to detect signals, but to qualify and structure them. Rather than relying on a single MA or a raw RSI level, it uses a five-MA fusion to create a baseline fair value that incorporates speed, stability, and volume-awareness.
On top of that, the system introduces a dual-smoothing mechanism. It doesn’t just smooth price once — it creates two layers: one to follow the general trend and another to track faster deviations. This structure lets the script distinguish between continuation moves and possible turning points more effectively than a single-line or single-metric system.
It also uses RSI in a more refined way. Instead of just checking if RSI is overbought or oversold, the script smooths RSI and requires directional confirmation. Beyond that, it includes signal memory. Once a signal is generated, a new one will not appear unless the RSI becomes even more extreme and curls back again. This memory-based gating reduces signal clutter and prevents repetition, a rare feature in similar scripts.
Why these indicators were merged
Each moving average in the fusion serves a specific role. EMA reacts quickly to recent price changes and is often favored in fast-trading strategies. SMA acts as a long-term filter and smooths erratic behavior. WMA blends responsiveness with smoothing in a more balanced way. ALMA focuses on minimizing lag without losing detail, which is helpful in fast markets. VWAP anchors price to real trade volume, giving a sense of where actual positioning is happening.
By combining all five, the script creates a fair value model that doesn’t lean too heavily on one logic type. This fusion is then smoothed into two separate EMAs: one slower (trend layer), one faster (signal layer). The difference between these forms the basis of the trend cloud, which can be toggled on or off visually.
RSI is then used to confirm whether price is reversing with enough force to warrant a trade. The RSI is calculated over a 14-period window and smoothed with a 7-period EMA. The reason for smoothing RSI is to cut down on noise and avoid reacting to short, insignificant spikes. A signal is only considered if price is stretched away from the trend line and the smoothed RSI is in a reversal state — below 30 and rising for bullish setups, above 70 and falling for bearish ones.
Calculations
The script follows this structure:
Calculate EMA, SMA, WMA, ALMA, and VWAP using the same base length
Average the five values to form the raw fusion line
Smooth the raw fusion line with an EMA using sens1 to create the fusion slow line
Smooth the raw fusion line with another EMA using sens2 to create the fusion fast line
If fusion slow is rising and price is above it, trend is bullish
If fusion slow is falling and price is below it, trend is bearish
Calculate RSI over 14 periods
Smooth RSI using a 7-period EMA
Determine deviation as the absolute difference between current price and fusion slow
A raw signal is flagged if deviation exceeds the threshold
A raw signal is flagged if RSI EMA is under 30 and rising (bullish setup)
A raw signal is flagged if RSI EMA is over 70 and falling (bearish setup)
A final signal is confirmed for a bullish setup if RSI EMA is lower than the last bullish signal’s RSI
A final signal is confirmed for a bearish setup if RSI EMA is higher than the last bearish signal’s RSI
Reset the bullish RSI memory if RSI EMA rises above 30
Reset the bearish RSI memory if RSI EMA falls below 70
Store last signal direction and use it for optional bar coloring
Draw the trend cloud between fusion fast and fusion slow using fill()
Show signal labels only if showSignals is enabled
Bar and candle colors reflect either trend slope or last signal direction depending on mode selected
How it works
Once the script is loaded, it builds a fusion line by averaging five different types of moving averages. That line is smoothed twice into a fast and slow version. These two fusion lines form the structure for identifying trend direction and signal areas.
Trend bias is defined by the slope of the slow line. If the slow line is rising and price is above it, the market is considered bullish. If the slow line is falling and price is below it, it’s considered bearish.
Meanwhile, the script monitors how far price has moved from that slow line. If price is stretched beyond a certain distance (set by the threshold), and RSI confirms that momentum is reversing, a raw reversion signal is created. But the script only allows that signal to show if RSI has moved further into oversold or overbought territory than it did at the last signal. This blocks repetitive, weak entries. The memory is cleared only if RSI exits the zone — above 30 for bullish, below 70 for bearish.
Once a signal is accepted, a label is drawn. If the signal toggle is off, no label will be shown regardless of conditions. Bar colors are controlled separately — you can color them based on trend slope or last signal, depending on your selected mode.
Inputs
You can adjust the following settings:
MA Length: Sets the period for all moving averages used in the fusion.
Show Reversion Signals: Turns on the plotting of “Up” and “Down” labels when a reversal is confirmed.
Bar Coloring: Enables or disables colored bars based on trend or signal direction.
Show Trend Cloud: Fills the space between the fusion fast and slow lines to reflect trend bias.
Bar Color Mode: Lets you choose whether bars follow trend logic or last signal direction.
Sens 1: Smoothing speed for the slow fusion line — higher values = slower trend.
Sens 2: Smoothing speed for the fast line — lower values = faster signal response.
Deviation Threshold: Minimum distance price must move from fair value to trigger a signal check.
Features
This indicator offers:
A composite fair value model using five moving average types.
Dual smoothing system with user-defined sensitivity.
Slope-based trend definition tied to price position.
Deviation-triggered signal logic filtered by RSI reversal.
RSI memory system that blocks repetitive signals and resets only when RSI exits overbought or oversold zones.
Real-time tracking of the last signal’s direction for optional bar coloring.
Up/Down labels at signal points, visible only when enabled.
Optional trend cloud between fusion layers, visualizing current market bias.
Full user control over smoothing, threshold, color modes, and visibility.
Conclusion
The Fusion Trend-Reversion System is a tool for short-term traders looking to fade price extremes without ignoring trend bias. It calculates fair value using five diverse moving averages, smooths this into two dynamic layers, and applies strict reversal logic based on RSI deviation and momentum strength. Signals are triggered only when price is stretched and momentum confirms it with increasingly strong behavior. This combination makes the tool suitable for scalping, intraday entries, and fast market environments where precision matters.
Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. All trading involves risk, and no tool can predict market behavior with certainty. Use proper risk management and do your own research before making trading decisions.
Multi-Position DashMulti-Position Dash — Risk Dashboard for Forex, Stocks & Indices
Overview:
The Multi-Position Dash is a highly customizable trading dashboard designed to help active traders manage up to 8 simultaneous positions across Forex, Stocks, and Indices. Whether you're trading single entries, layering positions, using DCA (Dollar Cost Averaging), or running complex hedging setups, this tool provides essential, real-time risk and P&L insights—directly on your chart.
Key Features:
✔️ Supports Forex, Stocks, Indices — with automatic pip and contract conversions
✔️ Track up to 8 manual positions, each with customizable direction, lot size or contracts, entry price, Take Profit, and Stop Loss
✔️ Full GBP-based P&L and risk calculation, including automatic USD-to-GBP conversion for non-FX assets
✔️ Real-time display of:
Total potential Take Profit (GBP)
Total potential Stop Loss (GBP)
Risk % relative to account balance
Live P&L (GBP) based on current price
✔️ Breakeven price calculation, even across mixed-direction positions (DCA & hedging aware)
✔️ Visual breakeven line, live P&L arrows, and entry price markers
✔️ Shared Stop Loss option for all positions — perfect for DCA traders
✔️ Easy export strings for logging trades to external tools like spreadsheets
Ideal For:
✅ Forex traders using lot-based risk models
✅ Stock & Index traders wanting simplified contract-based position tracking
✅ Traders managing multiple active positions, with or without hedging
✅ Anyone needing at-a-glance P&L and risk monitoring, independent of broker platforms
Notes & Usage:
This is a manual tracking tool—you enter your positions, TP, SL levels, etc., and the dashboard calculates the rest. It does not place or manage live orders.
Supports both Long and Short positions.
All calculations are based on your inputs and market price—accuracy depends on maintaining your inputs properly.
Shared Stop Loss feature applies a single, unified stop across all active positions for simplified risk control in DCA setups.
GBP is used as the account currency—USD-to-GBP conversion is applied to stocks and indices as needed.
Disclaimer:
This tool is for educational and planning purposes only. It does not place or manage live trades, and is not a substitute for broker risk management tools. Always double-check your own position sizing and risk before placing live orders.
Quantum Reversal# 🧠 Quantum Reversal
## **Quantitative Mean Reversion Framework**
This algorithmic trading system employs **statistical mean reversion theory** combined with **adaptive volatility modeling** to capitalize on Bitcoin's inherent price oscillations around its statistical mean. The strategy integrates multiple technical indicators through a **multi-layered signal processing architecture**.
---
## ⚡ **Core Technical Architecture**
### 📊 **Statistical Foundation**
- **Bollinger Band Mean Reversion Model**: Utilizes 20-period moving average with 2.2 standard deviation bands for volatility-adjusted entry signals
- **Adaptive Volatility Threshold**: Dynamic standard deviation multiplier accounts for Bitcoin's heteroscedastic volatility patterns
- **Price Action Confluence**: Entry triggered when price breaches lower volatility band, indicating statistical oversold conditions
### 🔬 **Momentum Analysis Layer**
- **RSI Oscillator Integration**: 14-period Relative Strength Index with modified oversold threshold at 45
- **Signal Smoothing Algorithm**: 5-period simple moving average applied to RSI reduces noise and false signals
- **Momentum Divergence Detection**: Captures mean reversion opportunities when momentum indicators show oversold readings
### ⚙️ **Entry Logic Architecture**
```
Entry Condition = (Price ≤ Lower_BB) OR (Smoothed_RSI < 45)
```
- **Dual-Condition Framework**: Either statistical price deviation OR momentum oversold condition triggers entry
- **Boolean Logic Gate**: OR-based entry system increases signal frequency while maintaining statistical validity
- **Position Sizing**: Fixed 10% equity allocation per trade for consistent risk exposure
### 🎯 **Exit Strategy Optimization**
- **Profit-Lock Mechanism**: Positions only closed when showing positive unrealized P&L
- **Trend Continuation Logic**: Allows winning trades to run until momentum exhaustion
- **Dynamic Exit Timing**: No fixed profit targets - exits based on profitability state rather than arbitrary levels
---
## 📈 **Statistical Properties**
### **Risk Management Framework**
- **Long-Only Exposure**: Eliminates short-squeeze risk inherent in cryptocurrency markets
- **Mean Reversion Bias**: Exploits Bitcoin's tendency to revert to statistical mean after extreme moves
- **Position Management**: Single position limit prevents over-leveraging
### **Signal Processing Characteristics**
- **Noise Reduction**: SMA smoothing on RSI eliminates high-frequency oscillations
- **Volatility Adaptation**: Bollinger Bands automatically adjust to changing market volatility
- **Multi-Timeframe Coherence**: Indicators operate on consistent timeframe for signal alignment
---
## 🔧 **Parameter Configuration**
| Technical Parameter | Value | Statistical Significance |
|-------------------|-------|-------------------------|
| Bollinger Period | 20 | Standard statistical lookback for volatility calculation |
| Std Dev Multiplier | 2.2 | Optimized for Bitcoin's volatility distribution (95.4% confidence interval) |
| RSI Period | 14 | Traditional momentum oscillator period |
| RSI Threshold | 45 | Modified oversold level accounting for Bitcoin's momentum characteristics |
| Smoothing Period | 5 | Noise reduction filter for momentum signals |
---
## 📊 **Algorithmic Advantages**
✅ **Statistical Edge**: Exploits documented mean reversion tendency in Bitcoin markets
✅ **Volatility Adaptation**: Dynamic bands adjust to changing market conditions
✅ **Signal Confluence**: Multiple indicator confirmation reduces false positives
✅ **Momentum Integration**: RSI smoothing improves signal quality and timing
✅ **Risk-Controlled Exposure**: Systematic position sizing and long-only bias
---
## 🔬 **Mathematical Foundation**
The strategy leverages **Bollinger Band theory** (developed by John Bollinger) which assumes that prices tend to revert to the mean after extreme deviations. The RSI component adds **momentum confirmation** to the statistical price deviation signal.
**Statistical Basis:**
- Mean reversion follows the principle that extreme price deviations from the moving average are temporary
- The 2.2 standard deviation multiplier captures approximately 97.2% of price movements under normal distribution
- RSI momentum smoothing reduces noise inherent in oscillator calculations
---
## ⚠️ **Risk Considerations**
This algorithm is designed for traders with understanding of **quantitative finance principles** and **cryptocurrency market dynamics**. The strategy assumes mean-reverting behavior which may not persist during trending market phases. Proper risk management and position sizing are essential.
---
## 🎯 **Implementation Notes**
- **Market Regime Awareness**: Most effective in ranging/consolidating markets
- **Volatility Sensitivity**: Performance may vary during extreme volatility events
- **Backtesting Recommended**: Historical performance analysis advised before live implementation
- **Capital Allocation**: 10% per trade sizing assumes diversified portfolio approach
---
**Engineered for quantitative traders seeking systematic mean reversion exposure in Bitcoin markets through statistically-grounded technical analysis.**
