Session Volume Profile HVN210
Session Volume Profile HVN - Comprehensive Indicator Description
Overview
The Session Volume Profile HVN is an advanced volume analysis indicator that provides traders with a visual representation of volume distribution across price levels within defined trading sessions. This powerful tool combines traditional volume profile analysis with High Volume Node (HVN) detection and Volume Point of Control (VPOC) tracking to help identify key support and resistance areas based on trading activity.
Key Features
1. Dynamic Volume Profile Visualization
Creates a comprehensive volume profile for each trading session (daily, weekly, or custom timeframes)
Displays volume distribution as a horizontal histogram, showing where the most trading activity occurred
Automatically scales to fit the price range of each session
Customizable number of price levels (rows) for granular or broad analysis
Profile extension capability to project volume areas into subsequent sessions
2. Volume Point of Control (VPOC)
Automatically identifies and marks the price level with the highest volume in each session
Displays VPOC as a prominent horizontal line that can extend into future sessions
Tracks multiple historical VPOCs with customizable extension limits
Optional date labels for easy identification of when each VPOC was formed
Particularly useful for identifying potential support/resistance levels based on peak trading activity
3. High Volume Node (HVN) Detection
Sophisticated algorithm that identifies significant volume clusters within the profile
Validates HVNs based on customizable strength criteria
Two display options:
Levels: Shows HVNs as horizontal lines (solid for VPOC, dotted for other nodes)
Areas: Displays HVNs as shaded boxes covering the full price range of the node
Color-coded based on price position relative to previous close:
Bullish color for HVNs below the previous close (potential support)
Bearish color for HVNs above the previous close (potential resistance)
4. Multi-Timeframe Analysis
Profile Timeframe: Defines the session boundaries (e.g., daily, weekly, monthly)
Resolution Timeframe: Uses lower timeframe data for more accurate volume distribution
Automatically adjusts to ensure compatibility with chart timeframe
Enables precise volume analysis even on higher timeframe charts
Practical Applications
Support and Resistance Identification
VPOCs and HVNs often act as significant support/resistance levels
Multiple confluent HVNs can indicate strong price zones
Historical VPOC levels provide context for potential price reactions
Trading Strategy Development
Entry/exit points near HVN boundaries
Stop loss placement beyond significant volume nodes
Trend continuation or reversal signals when price breaks through HVN areas
Market Structure Analysis
Identify accumulation/distribution zones
Recognize price acceptance or rejection at specific levels
Understand market participant behavior through volume concentration
Customization Options
Visual Settings
Adjustable colors for profile, VPOC lines, and HVN areas
Line width controls for better visibility
Label size options from tiny to huge
Profile transparency for chart clarity
Technical Parameters
Number of price levels (rows) for profile resolution
HVN detection strength for sensitivity adjustment
VPOC extension count for historical reference
Profile extension percentage for future projection
Display Preferences
Toggle VPOC visibility
Enable/disable HVN display
Choose between line or area representation for HVNs
Control date label display based on timeframe
Best Practices
Timeframe Selection: Choose profile timeframes that align with your trading style (day traders might use hourly profiles, swing traders daily or weekly)
HVN Strength Calibration: Adjust the HVN strength parameter based on market volatility and desired sensitivity
Multiple Timeframe Confirmation: Use different profile timeframes to identify confluence zones
Combination with Other Indicators: Enhance analysis by combining with trend indicators, momentum oscillators, or price action patterns
Performance Considerations
The indicator is optimized for smooth performance while maintaining accuracy through:
Efficient data processing algorithms
Smart memory management for historical data
Automatic cleanup of old visual elements
Scalable architecture supporting up to 500 visual elements
Ideal For
Day Traders: Identifying intraday support/resistance levels
Swing Traders: Finding multi-day accumulation zones
Position Traders: Analyzing longer-term volume structures
Market Analysts: Understanding market participant behavior
Algorithmic Traders: Incorporating volume-based levels into automated strategies
Statistics
SSMT & PSP- Made this one public so that people can search for it and get it without link
- Same code used in the private one
- Credits to VX, Fruits and Solidarity for allowing me to make this <3
CAD DataThis indicator provides all of the data required to use the Context Analysis Dashboard (CAD) for live trading.
Morning Peak FadeMorning Peak Fade is an intraday analysis tool that identifies and measures the probability of early session rallies turning into sharp pullbacks.
📊 Core Idea
• Many stocks surge after the open, reaching an intraday peak before fading lower.
• This script anchors at the first significant morning high and tracks the drawdowns that follow within a customizable time window.
• It provides:
• Probability of a fade after the peak
• Average and maximum drawdown statistics
• Event-day hit rate (how often such setups occur)
🎯 Use Cases
• Spot potential “fade setups” where early enthusiasm exhausts quickly.
• Quantify how often chasing the morning high turns into a losing trade.
• Backtest opening range failure or fade strategies with hard data.
⚙️ Features
• Customizable thresholds for the initial surge (relative to prior close).
• Marks the peak (max) and subsequent low (min) used in calculations.
• Draws a reference line at the surge threshold to visualize when the fade triggers.
• Outputs summary stats directly on the chart.
Premarket Power MovePremarket Power Move is an intraday research tool that tracks what happens after strong premarket or opening gaps.
📊 Core Idea
• When a stock opens +X% above the prior close, it often attracts momentum traders.
• This script measures whether the stock continues to follow through higher or instead fades back down within the first trading hour.
• It calculates:
• The probability of a post-gap rally vs. a drawdown
• Average and maximum retracements after the surge
• Event-day hit rate (how many days actually triggered the condition)
🎯 Use Cases
• Identify “gap-and-go” opportunities where strong premarket strength leads to further gains.
• Spot potential fade setups where early enthusiasm quickly reverses.
• Backtest your intraday strategies with objective statistics instead of gut feeling.
⚙️ Features
• Customizable thresholds for premarket/open surge (%) and follow-through window (minutes).
• Marks the chart with reference lines:
• Prior close
• Surge threshold (e.g. +6%)
• Intraday high/low used for probability calculations.
• Outputs summary statistics (probabilities, averages, counts) directly on the chart.
🔔 Note
This is not a buy/sell signal generator. It is a probability and behavior analysis tool that helps traders understand how often strong premarket gaps continue vs. fade.
Yasser Multiple Inside Bar Breakout SignalsDescription
Yasser Multiple Inside Bar Breakout Signals (Yasser_MIB) is a powerful TradingView indicator designed to detect high-probability breakout setups based on multiple inside bar (MIB) formations. Inside bar breakouts often precede strong market moves, making this tool ideal for traders who rely on price action, volatility compression, and breakout trading strategies.
🔑 Key Features:
✅ Automatic MIB Detection – Identifies and counts consecutive inside bars.
✅ Breakout Signals – Generates BUY/SELL signals upon valid breakout of the mother bar.
✅ Custom Risk:Reward Settings – Adjustable risk-to-reward ratio with built-in Stop Loss (SL) and Take Profit (TP) levels.
✅ ATR-based Stop Loss (Optional) – Dynamic volatility-based risk management.
✅ Trend Filter – Optional EMA filter to trade only in the trend direction.
✅ Visual Clarity – Mother bar levels, inside bar marks, entry/SL/TP lines, and breakout highlights.
✅ Alerts Ready – Receive instant alerts for MIB setups and breakouts.
This indicator is suitable for Forex, Stocks, Indices, Commodities, and Crypto markets across multiple timeframes. Whether you are a trend trader or a breakout trader, Yasser_MIB provides a structured approach to capture explosive market moves with disciplined risk management.
📂 Categories
Indicators
Technical Analysis
Price Action
Breakout Strategies
Risk Management
🏷 Tags
inside bar
multiple inside bar
MIB breakout
price action
mother bar
breakout strategy
trend filter
EMA filter
ATR stop loss
risk reward
forex trading
crypto trading
stocks
commodities
indices
Yasser indicators
Z-AxisZ-Axis is a new and unique indicator that can visualize volume. This indicator is all the stuff I used to do manually on charts. It shows where individual big bags of money are. It flags statistically significant volume by making a ray, higher volume will be different colors. Same color scheme as fire - white hot.
Some people try to wonder what the "market maker" thinks or where did they buy. I personally think of the elusive "market maker" like a school of fish moving together. Squeeze the timeframe down to 1 minute, and you see all the fish that think the same way.
Purple means that candle is in the top 7 standard deviations, or 7x.
Red is 10x
Orange is 15x
Yellow is 20x
White is 25x, and triggers an AVWAP.
25 Standard deviations is 99% followed by "9" for 137 decimal spaces... and it still triggers. ye ha.
Once price has moved 2% against the opening of the candle, it's dimmed/liquidated. When this happens, that means that anyone who bought at that candle open at 50x leverage, they are now a ghost.
Price is often drawn to "liquidity wells", visualized here as the black space between pivots.
Weekly Volume ChangeWeekly Volume Change %
See weekly volume trends at a glance! This indicator shows current vs. previous week’s volume, calculates percent change, and highlights increases (green) or decreases (red). Features customizable look-back weeks and table color for easy visualization.
PongExperience PONG! The classic arcade game, now on your charts!
With this indicator, you can finally achieve your lifelong dream of beating the Markets. . . at PONG!
Pong is jam-packed with features! Such as:
2 Paddles
A moving dot
Floating numbers
The idea of a net
This indicator is solely a visualization, it serves simply as an exercise to depict what is capable through PineScript. It can be used to re-skin other indicators or data, but on its own, is not intended as a market indicator.
With that out of the way...
> PONG
The Pong indicator is a recreation of the classic arcade game Pong developed to pit the markets against the cold hard logic of a CPU player.
Given the lack of interaction that is capable, the game is not played in the typical sense, by a player and computer or 2 players.
This version of Pong uses the chart price movements to control the "Market" Paddle, and it is contrasted by a (not AI) "CPU" Paddle, which is controlled by its own set of logic.
> Market Paddle
The Market Paddle is controlled by a data source which can be input by the user.
By default (Auto Mode), the Market Paddle is controlled through a fixed length Donchian channel range, pinning the range high to 100 and range low to 0. As seen below.
This can be altered to use data from different symbols or indicators, and can optionally be smoothed using multiple types of Moving Averages.
In the chart below, you can see how the RSI indicator is imported and smoothed to control the Market Paddle.
Note: The Market Paddle follows the moving average. If not desired, simply set the "Smoothing" input to "NONE".
> CPU Paddle
In simple terms, the CPU Paddle is a handicapped Aimbot.
Its logic is, more or less, "move directly towards the ball's vertical location".
If it were allowed to have full range of the screen, it would be impossible for it to lose a point. Due to this, we must slow it down to "play fair"... as fair as that may be.
The CPU Paddle is allowed to move at a rate specified by a certain Percent of its vertical width. By default, this is set to 2%.
Each update, the CPU Paddle can advance up or down 2% of its vertical width. The directional movement is determined based on the angle of the ball, and it's current position relative to the CPU Paddle's position. Given that it is not a direct follow, it may at times seem more... "human".
When a point is scored, the CPU paddle maintains its position, similar to the original Pong game, the paddles were controlled solely by the raw output of the controllers and did not reset.
> Ball
At the start of each point, the ball begins at the center of the screen and moves in a randomly determined angle at its base speed.
The direction is determined by the player who scored the last point. The loser of the last point "serves" the ball.
Given the circumstances, serving is a gigantic advantage. So the loser serving is just another place where the Market is given an advantage.
The ball's base speed is 1, it will move 1 (horizontal) bar on each update of the script. This speed can "technically" increase to infinity over time, if given the perfect rally. This is due to the hit logic as described below.
Note: The minimum ball speed is also 1.
> Bonk Math
When the ball hits a paddle, essentially 3 outcomes can occur, each resulting in the ball's direction being changed from positive to negative.
Action A: Its angle is doubled, and its speed is doubled.
Action B: Its angle is reversed, and its speed is decreased if it is going faster than base speed.
Action C: Its angle is preserved, and its speed is preserved. "Basic Bounce"
Each paddle is segmented into 3 zones, with the higher and lower tips (20%) of the paddles producing special actions.
The central 60% of each paddle produces a basic bounce. The special actions are determined by the trajectory of the ball and location on the paddle.
> Custom Mode
As stated above, the script loads in "Auto Mode" by default. While this works fine to simply watch the gameplay, the Custom Mode unlocks the ability to visualize countless possibilities of indicators and analyses playing Pong!
In the chart below, we have set up the game to use the NYSE TICK Index as our Market Player. The NYSE TICK Index shows the number of NYSE stocks trading on an uptick minus those on a downtick. Its values fluctuate throughout the day, typically ranging between +1000 and -1000.
Therefore, we have set up Pong to use Ticker USI:TICK and set the Upper Boundary to 1000 and Lower Boundary to -1000. With this method, the paddle is directly controlled by the overall (NYSE) market behaviors.
As seen in a chart earlier, you can also take advantage of the Custom Mode to overlay Pong onto traditional oscillators for use anywhere!
> Styles
This version of Pong comes stocked with 5 colorways to suit your chart vibes!
> Pro Tips & Additional Information
- This game has sound! For the full experience, set alerts for this indicator and a notification sound will play on each hit!*
*Due to server processing, the notification sounds are not precisely played at each hit. :(
- In auto mode, decreasing the length used will give an advantage to the market, as its actions become more sporadic over this window.
- The CPU logic system actually allows the market to have a "technical" edge, since the Market Paddle is not bound to any speed, and is solely controlled by the raw market movements/data input.
- This type of visualization only works on live charts, charts without updates will not see any movement.
- Indicator sources can only be imported from other indicators on the same chart.
- The base screen resolution is 159 bars wide, with the height determined by the boundaries.
- When using a symbol and an outside source, be mindful that the script is attempting to pull the source from the input symbol. Data can appear wonky when not considering the interactions of these inputs.
There are many small interesting details that can't be seen through the description. For example, the mid-line is made from a box. This is because a line object would not appear on top of the box used for the screen. For those keen eye'd coders, feel free to poke around in the source code to make the game truly custom.
Just remember:
The market may never be fair, but now at least it can play Pong!
Enjoy!
Sessions - Full HeightEN : Full-height background sessions using bgcolor(). Asia, London, and New York sessions with configurable time windows, colors, and timezone. Open-source for learning and reuse.
RU : Индикатор заливает фон сессий на всю высоту графика (Азия, Лондон, Нью-Йорк). Настраиваемые окна времени и цвета.
StoxAI Magic Trend Indicator V2StoxAI Magic Trend Indicator V2 is here. Get live Trade Stats and Strength Scores with AI weights for each candlestick chart.
MTF-RISK [Module+]Description
MTF-RISK is a futures risk management tool that calculates standardized position sizing across multiple CME micro contracts, anchored to higher-timeframe structure. By combining multi-timeframe reference levels with a contract-based dollar-per-point model, it allows traders to maintain consistent risk across different futures markets.
Example:
User has selected the 1H timeframe for the risk table. Once an hourly candle closes, the high and low of that completed hour are locked as reference boundaries.
Lower timeframe candles (e.g., 1m, 5m, 15m) reference these established 1H boundaries to calculate:
Distance in points from the current close to the HTF high or low.
Corresponding dollar risk based on the user-defined Max Risk per Trade ($) setting.
The risk table updates in real-time, showing the current stop distance, calculated contract size, and resulting risk in dollars for both upward and downward directions.
Benefit: Traders always maintain a fixed dollar risk, regardless of intraday price movement, while using HTF structure as the anchor for accurate and consistent position sizing.
1. Higher Timeframe Anchor
Always uses the last fully closed candle from the selected higher timeframe (default: 60m).
Captures the prior HTF high and low as reference boundaries.
Lower timeframe closers (e.g., 1m, 5m, 15m bars) reference these established HTF boundaries to measure stop distances and calculate risk.
Use: Ensures all position sizing is tied to completed HTF structure, providing a consistent framework for intraday trades.
2. Risk Model Engine
Traders define maximum dollar risk per trade.
The system calculates allowable micro contracts based on stop distance (current close → HTF high/low).
Supported contracts and their point values:
MNQ (Micro Nasdaq 100): $2.00 per point
MES (Micro S&P 500): $5.00 per point
MYM (Micro Dow Jones): $0.50 per point
MGC (Micro Gold): $10.00 per point
Formula:
Contracts = Max Risk ÷ (Stop Distance × TSE:VALUE per Point)
Risk ↑: Based on distance to HTF high.
Risk ↓: Based on distance to HTF low.
Use: Provides consistent dollar risk sizing across different futures contracts and multiple intraday timeframes.
3. Risk Table Overlay
Compact, real-time on-chart table with customizable styling.
Columns:
OP: Operation time (adjusted by user’s timezone offset).
Points ↑ / ↓: Stop distances in points relative to HTF boundaries.
Risk ↑ / ↓ ($): Dollar exposure at those stops.
Micros ↑ / ↓: Allowable contract count.
Asset: Displays selected futures contract in the header.
Custom features:
Independent text/background colors per column.
Highlighted latest row for clarity.
Adjustable outline, row colors, and text size.
Use: Gives traders immediate insight into position sizing without leaving the chart.
Intended Use:
This is a risk visualization module, not a trade signal generator. Traders can use it to:
Standardize risk sizing across multiple CME micro futures.
Quickly evaluate trade setups relative to HTF structure.
Measure stop distances from lower timeframe closes while referencing HTF boundaries.
Maintain consistency in risk management regardless of the instrument traded.
Limitations & Disclaimers:
Calculations assume standard CME tick values for MNQ, MES, MYM, and MGC.
Other markets may not align with these dollar-per-point values.
This indicator does not predict direction, generate entries, or guarantee outcomes.
For educational and informational purposes only.
Trading involves risk; always use proper risk management.
Closed-source (Protected): Logic is visible on charts, but source code is hidden.
Irrationality Index by CRYPTO_ADA_BTC"The market can be irrational longer than you can stay solvent" ~ John Maynard Keynes
This indicator, the Irrationality Index, measures how far the current market price has deviated from a smoothed estimate of its "fair value," normalized for recent volatility. It provides traders with a visual sense of when the market may be behaving irrationally, without giving direct buy or sell signals.
How it works:
1. Fair Value Calculation
The indicator estimates a "fair value" for the asset using a combination of a long-term EMA (exponential moving average) and a linear regression trend over a configurable period. This fair value serves as a smoothed baseline for price, balancing trend-following and mean-reversion.
2. Volatility-Adjusted Z-Score
The deviation between price and fair value is measured in standard deviations of recent log returns:
Z = (log(price) - log(fairValue)) / volatility
This standardization accounts for different volatility environments, allowing comparison across assets.
3. Irrationality Score (0–100)
The Z-score is transformed using a logistic mapping into a 0–100 scale:
- 50 → price near fair value (rational zone)
- >75 → high irrationality, price stretched above fair value
- >90 → extreme irrationality, unsustainable extremes
- <25 → high irrationality, price stretched below fair value
- <10 → extreme bearish irrationality
4. Price vs Fair Value (% deviation)
The indicator plots the percentage difference between price and fair value:
pctDiff = (price - fairValue) / fairValue * 100
- Positive values → Percentage above fair value (optimistic / overvalued)
- Negative values → Percentage below fair value (pessimistic / undervalued)
Visuals:
- Irrationality (%) Line (0–100) shows irrationality level.
- Background Colors: Yellow= high bullish irrationality, Green= extreme bullish irrationality, Orange= high bearish irrationality, Red= extreme bearish irrationality.
- Price - FairValue (%) plot: price deviation vs fair value (%), Colored green above 0 and red below 0.
- Label: display actual price, estimated fair value, and Z-score for the latest bar.
- Alerts: configurable thresholds for high and extreme irrationality.
How to read it:
- 50 → Market trading near fair value.
- >75 / >90 → Price may be irrationally high; risk of pullback increases.
- <25 / <10 → Price may be irrationally low; potential rebound zones, but trends can continue.
- Price - FairValue (%) plot → visual guide for % price stretch relative to fair value.
Notes / Warnings:
- Measures relative deviation, not fundamental value!
- High irrationality scores do not automatically indicate trades; markets can remain can be irrational longer than you can stay solvent .
- Best used with other tools: momentum, volume, divergence, and multi-timeframe analysis.
Volume ClusteringThis Volume Clustering script is a powerful tool for analyzing intraday trading dynamics by combining two key metrics: volume Z-Score and Cumulative Volume Delta (CVD). By categorizing market activity into distinct clusters, it helps you identify high-conviction trading opportunities and understand underlying market pressure.
How It Works
The script operates on a simple, yet effective, premise: it classifies each trading bar based on its statistical significance (volume Z-Score) and buying/selling pressure (CVD).
Volume Z-Score
The volume Z-Score measures how far the current bar's volume is from its average, helping to identify periods of unusually high or low volume. This metric is a powerful way to spot when institutional or large players might be entering the market. A high Z-Score suggests a significant event is taking place, regardless of direction.
Cumulative Volume Delta (CVD)
CVD tracks the net buying and selling pressure across different timeframes. The script uses a lower timeframe (e.g., 1-minute) and anchors it to a higher timeframe (e.g., 1-day) to capture intraday pressure. A positive CVD indicates more buying pressure, while a negative CVD suggests more selling pressure.
Cluster Categories
The script analyzes the confluence of these two metrics to assign a cluster to each bar, providing actionable insights. The clusters are color-coded and labeled to make them easy to interpret:
🟢 High Conviction Bullish: Unusually high volume (high Z-Score) combined with significant buying pressure (high CVD). This cluster suggests strong bullish momentum.
🔴 High Conviction Bearish: Unusually high volume (high Z-Score) coupled with significant selling pressure (low CVD). This cluster suggests strong bearish momentum.
🟡 Low Conviction/Noise: Low to moderate volume and mixed buying/selling pressure. This represents periods of indecision or consolidation, where market noise is more prevalent.
🟣 Other Clusters: The script also identifies other combinations, such as high volume with moderate CVD, or low volume with high CVD, which can provide additional context for understanding market dynamics.
Key Features & Customization
The script offers several customizable settings to tailor the analysis to your specific trading style:
Z-Score Lookback Length: Adjust the lookback period for calculating the average volume. A shorter period focuses on recent volume trends, while a longer period provides a broader context.
CVD Anchor & Lower Timeframe: Define the timeframes used for CVD calculation. You can anchor the analysis to a daily or weekly timeframe while using a lower timeframe (e.g., 1-minute) to capture granular intraday pressure.
High/Low Volume Mode: Toggle between "High Volume" mode (which uses 90th and 10th percentiles for clustering) and "Low Volume" mode (which uses 75th and 25th percentiles). This allows you to choose whether to focus on extreme events or more subtle shifts in market sentiment.
Combined Cluster & Market StructureI barrowed code from the Mxwll Price Action Suite script as appreciated the structure in which the script defined structure, however I renamed variables and reduced the original script to define only the outer structure. I added volume and CVD clustering to define ranges and initiation market structures and add the ADX to assist with determining trend strength prior to labeling market structure breaks.
Combined Cluster & Market Structure indicator, a powerful and comprehensive tool for technical analysis. This script integrates two core concepts to provide a holistic view of market dynamics:
Z-Score Clustering & Volume Analysis: The indicator calculates Z-scores for both volume and Cumulative Volume Delta (CVD) to categorize market activity into six distinct clusters:
High-Conviction Bullish/Bearish: Signals of strong directional momentum based on high volume and corresponding CVD.
Effort vs. Result: High volume with moderate CVD, suggesting potential indecision or absorption.
Quiet Accumulation/Distribution: Low-volume periods with strong CVD, often preceding major moves.
Low Conviction/Noise: Represents periods of low market participation and weak signals.
These clusters are visually marked on the chart to provide real-time insight into market sentiment.
Market Structure Mapping: The indicator automatically detects and labels significant structural points to help you navigate price action. It identifies:
Higher Highs (HH) and Lower Lows (LL) to show the primary trend direction.
Breaks of Structure (BoS), indicating trend continuation.
Changes of Character (CHoCH), signaling a potential trend reversal.
Additionally, the script features consolidation box detection, which automatically highlights periods of low-conviction market activity, helping you avoid choppy, sideways markets. An integrated ADX filter ensures that structural breaks are only labeled during periods of strong trend strength, reducing false signals.
I want to thank Mxwll Capital for their contribution to the Combined Cluster & Market Structure indicator.
Session Trade Vertical Lines Jakarta Time - OxlibertansThis indicator displays the market open session times based on the Asian session, London session, and New York session.
These sessions typically offer high market volume for both direct and derivative trading.
To maximise this indicator, utilise your analytical skills to maximise profits.
Please note that this indicator only displays session times and does not provide buy or sell signals.
We hope this session time is helpful for those of you who trade based on session times.
Pairs Trading Scanner [BackQuant]Pairs Trading Scanner
What it is
This scanner analyzes the relationship between your chart symbol and a chosen pair symbol in real time. It builds a normalized “spread” between them, tracks how tightly they move together (correlation), converts the spread into a Z-Score (how far from typical it is), and then prints clear LONG / SHORT / EXIT prompts plus an at-a-glance dashboard with the numbers that matter.
Why pairs at all?
Markets co-move. When two assets are statistically related, their relationship (the spread) tends to oscillate around a mean.
Pairs trading doesn’t require calling overall market direction you trade the relative mispricing between two instruments.
This scanner gives you a robust, visual way to find those dislocations, size their significance, and structure the trade.
How it works (plain English)
Step 1 Pick a partner: Select the Pair Symbol to compare against your chart symbol. The tool fetches synchronized prices for both.
Step 2 Build a spread: Choose a Spread Method that defines “relative value” (e.g., Log Spread, Price Ratio, Return Difference, Price Difference). Each lens highlights a different flavor of divergence.
Step 3 Validate relationship: A rolling Correlation checks if the pair is moving together enough to be tradable. If correlation is weak, the scanner stands down.
Step 4 Standardize & score: The spread is normalized (mean & variability over a lookback) to form a Z-Score . Large absolute Z means “stretched,” small means “near fair.”
Step 5 Signals: When the Z-Score crosses user-defined thresholds with sufficient correlation , entries print:
LONG = long chart symbol / short pair symbol,
SHORT = short chart symbol / long pair symbol,
EXIT = mean reversion into the exit zone or correlation failure.
Core concepts (the three pillars)
Spread Method Your definition of “distance” between the two series.
Guidance:
Log Spread: Focuses on proportional differences; robust when prices live on different scales.
Price Ratio: Classic relative value; good when you care about “X per Y.”
Return Difference: Emphasizes recent performance gaps; nimble for momentum-to-mean plays.
Price Difference: Straight subtraction; intuitive for similar-scale assets (e.g., two ETFs).
Correlation A rolling score of co-movement. The scanner requires it to be above your Min Correlation before acting, so you’re not trading random divergence.
Z-Score “How abnormal is today’s spread?” Positive = chart richer than pair; negative = cheaper. Thresholds define entries/exits with transparent, statistical context.
What you’ll see on the chart
Correlation plot (blue line) with a dashed Min Correlation guide. Above the line = green zone for signals; below = hands off.
Z-Score plot (white line) with colored, dashed Entry bands and dotted Exit bands. Zero line for mean.
Normalized spread (yellow) for a quick “shape read” of recent divergence swings.
Signal markers :
LONG (green label) when Z < –Entry and corr OK,
SHORT (red label) when Z > +Entry and corr OK,
EXIT (gray label) when Z returns inside the Exit band or correlation drops below the floor.
Background tint for active state (faint green for long-spread stance, faint red for short-spread stance).
The two built-in dashboards
Statistics Table (top-right)
Pair Symbol Your chosen partner.
Correlation Live value vs. your minimum.
Z-Score How stretched the spread is now.
Current / Pair Prices Real-time anchors.
Signal State NEUTRAL / LONG / SHORT.
Price Ratio Context for ratio-style setups.
Analysis Table (bottom-right)
Avg Correlation Typical co-movement level over your window.
Max |Z| The recent extremes of dislocation.
Spread Volatility How “lively” the spread has been.
Trade Signal A human-readable prompt (e.g., “LONG A / SHORT B” or “NO TRADE” / “LOW CORRELATION”).
Risk Level LOW / MEDIUM / HIGH based on current stretch (absolute Z).
Signals logic (plain English)
Entry (LONG): The spread is unusually negative (chart cheaper vs pair) and correlation is healthy. Expect mean reversion upward in the spread: long chart, short pair.
Entry (SHORT): The spread is unusually positive (chart richer vs pair) and correlation is healthy. Expect mean reversion downward in the spread: short chart, long pair.
Exit: The spread relaxes back toward normal (inside your exit band), or correlation deteriorates (relationship no longer trusted).
A quick, repeatable workflow
1) Choose your pair in context (same sector/theme or known macro link). Think: “Do these two plausibly co-move?”
2) Pick a spread lens that matches your narrative (ratio for relative value, returns for short-term performance gaps, etc.).
3) Confirm correlation is above your floor no corr, no trade.
4) Wait for a stretch (Z beyond Entry band) and a printed LONG / SHORT .
5) Manage to the mean (EXIT band) or correlation failure; let the scanners’ state/labels keep you honest.
Settings that matter (and why)
Spread Method Defines the “mispricing” you care about.
Correlation Period Longer = steadier regime read, shorter = snappier to regime change.
Z-Score Period The window that defines “normal” for the spread; it sets the yardstick.
Use Percentage Returns Normalizes series when using return-based logic; keep on for mixed-scale assets.
Entry / Exit Thresholds Set your stretch and your target reversion zone. Wider entries = rarer but stronger signals.
Minimum Correlation The gatekeeper. Raising it favors quality over quantity.
Choosing pairs (practical cheat sheet)
Same family: two index ETFs, two oil-linked names, two gold miners, two L1 tokens.
Hedge & proxy: stock vs. sector ETF, BTC vs. BTC index, WTI vs. energy ETF.
Cross-venue or cross-listing: instruments that are functionally the same exposure but price differently intraday.
Reading the cues like a pro
Divergence shape: The yellow normalized spread helps you see rhythm fast spike and snap-back versus slow grind.
Corr-first discipline: Don’t fight the “Min Correlation” line. Good pairs trading starts with a relationship you can trust.
Exit humility: When Z re-centers, let the EXIT do its job. The edge is the journey to the mean, not overstaying it.
Frequently asked (quick answers)
“Long/Short means what exactly?”
LONG = long the chart symbol and short the pair symbol.
SHORT = short the chart symbol and long the pair symbol.
“Do I need same price scales?” No. The spread methods normalize in different ways; choose the one that fits your use case (log/ratio are great for mixed scales).
“What if correlation falls mid-trade?” The scanner will neutralize the state and print EXIT . Relationship first; trade second.
Field notes & patterns
Snap-back days: After a one-sided session, return-difference spreads often flag cleaner intraday mean reversions.
Macro rotations: Ratio spreads shine during sector re-weights (e.g., value vs. growth ETFs); look for steady corr + elevated |Z|.
Event bleed-through: If one symbol reacts to news and its partner lags, Z often flags a high-quality, short-horizon re-centering.
Display controls at a glance
Show Statistics Table Live state & key numbers, top-right.
Show Analysis Table Context/risk read, bottom-right.
Show Correlation / Spread / Z-Score Toggle the sub-charts you want visible.
Show Entry/Exit Signals Turn markers on/off as needed.
Coloring Adjust Long/Short/Neutral and correlation line colors to match your theme.
Alerts (ready to route to your workflow)
Pairs Long Entry Z falls through the long threshold with correlation above minimum.
Pairs Short Entry Z rises through the short threshold with correlation above minimum.
Pairs Trade Exit Z returns to neutral or the relationship fails your correlation floor.
Correlation Breakdown Rolling correlation crosses your minimum; relationship caution.
Final notes
The scanner is designed to keep you systematic: require relationship (correlation), quantify dislocation (Z-Score), act when stretched, stand down when it normalizes or the relationship degrades. It’s a full, visual loop for relative-value trading that stays out of your way when it should and gets loud only when the numbers line up.
FRANJAS POR FECHAS - RSDescription:
This indicator allows you to highlight specific dates on your chart with vertical background stripes, similar to a session indicator.
Input your dates in the format DD.MM.YYYY (you can separate them with commas, spaces, line breaks, or semicolons).
The script automatically normalizes the format and applies a shaded vertical band for each matching day.
Works on daily and intraday charts: in intraday, the shading will cover the full trading day.
Options available to adjust the color and transparency of the stripes.
Optional dotted lines can be enabled at the start and end of each highlighted day.
This is useful for marking important events such as FOMC meetings, earnings releases, economic data announcements, or any custom list of key dates you want to track directly on your chart.
Japan Yen Carry Trade to Risk Ratio Sharpe Ratio By UncleBFMStep-by-Step Calculation in the ScriptFetch Rates:Pulls rates dynamically using request.security() from user-specified symbols (e.g., TVC:JP10Y for yen, TVC:US10Y for target). If unavailable (NA), uses fallback inputs (e.g., 0.25% for yen, 4.50% for target).
Converts rates to decimals: (target_rate - yen_rate) / 100.
Calculate Carry:Carry = (Target Rate - Yen Rate) / 100
Example: If US 10Y yield is 4.50% and Japan 10Y is 0.25%, carry = (4.50 - 0.25) / 100 = 0.0425 (4.25% annual yield).
Calculate Daily Log Returns:Log Returns = ln(Close / Close ), where Close is the current price of the pair (e.g., USDJPY) and Close is the previous day's price.
This measures daily percentage changes in a way suitable for volatility calculations.
Calculate Annualized Volatility:Volatility = Standard Deviation of Log Returns over a lookback period (default 63 days, ~3 months) × √252.
Example: If the standard deviation of USDJPY log returns is 0.005 (0.5% daily), annualized volatility = 0.005 × √252 ≈ 0.0794 (7.94%).
Compute the Ratio:Ratio = Carry / Volatility
Example: Using above, 0.0425 / 0.0794 ≈ 0.535.
If volatility is zero, the ratio is set to NA to avoid division errors.
Plot:Plots the ratio as a line, with optional thresholds (e.g., 0.2 for "high attractiveness") to guide interpretation.
NotesDynamic Rates: Using bond yields (e.g., TVC:JP10Y) or policy rates (e.g., ECONOMICS:JPINTR) makes the indicator responsive to historical and current rate changes, unlike static inputs.
Context: BIS reports use similar ratios to assess carry trade viability. For USDJPY in 2025, with Fed rates around 4.5% and BoJ at 0.25–0.5%, the carry is positive but sensitive to volatility spikes (e.g., during 2024 unwind events).
Usage: Apply to a yen pair chart (e.g., USDJPY, AUDJPY). Adjust symbols for the target currency (e.g., TVC:AU10Y for AUD). The ratio helps compare carry trade profitability across pairs or over time.
Shashwat Khurana (v6) – VWAP ±1SD + RSI + ATR Filter A multi-factor volatility-adjusted mean-reversion model integrating dynamic liquidity thresholds and higher-order momentum filters for asymmetric risk calibration
Probas target and touching (points)Probability of Touching Long or Short X nb of point in 10 mins, 20 mins, 30 mins, 60 mins
Daniel.Yer BB EntryMy BB entry strategy.
need to improve a little the code, but for start, its look very good.
also need to check the statistic in 3 and 5 min range.
Great Job :)