Band Walk Detector TENKYO [BASIC]1. Abstract: The Computational Resolution of Cognitive Latency
This publication presents the findings of the "TENKYO" Research Project , focusing on the algorithmic detection of high-probability volatility breakouts ("Band Walks") on the 15-minute timeframe.
Problem Statement: Manual trading suffers from a critical "Cognitive Latency Gap." A trader cannot simultaneously process multi-dimensional variables—volatility expansion rates (derivative of variance), candle morphology (price rejection ratios), and time-weighted liquidity cycles—within the millisecond timeframe required for optimal execution.
Solution: This script is not a discretionary indicator but a Hard-Coded Decision Support System . It automates the verification of market conditions using a "Piecewise Constant Parameter Model," offloading the computational burden from the human operator to the CPU.
Note: This is a research release for the verification of the TENKYO logic, not a commercial product.
2. Theoretical Framework & Methodology
The architecture of this script rejects the standard "Stationary Volatility Assumption" (the idea that market behavior is consistent throughout the day). Instead, it adopts a Time-Segmented Heteroskedasticity Model.
A. Temporal Segmentation Logic (The Session Filter)
Global forex markets exhibit distinct liquidity profiles based on the active session (London, New York, Tokyo/Sydney). A standard deviation ($\sigma$) that signals a breakout in the Asian session is often mere noise in the London session.To solve this, the script partitions the trading day into four distinct phases ($S_1, S_2, S_3, S_4$) and applies a Dynamic Parameter Matrix:
・ Logic: $P(t) = \{ \text{Length}_i, \text{Mult}_i, \text{Threshold}_i \}$ where $t \in S_i$
・ Implementation: The script contains an extensive if-else structure that automatically swaps the Lookback Period and Deviation Multiplier based on the timestamp. This allows the algorithm to "tighten" or "loosen" its sensitivity relative to expected market volume.
B. Synthetic Execution Modeling (Bid/Ask Simulation)
TradingView's default variables (close, high, low) represent mid-market data, which fails to account for the spread cost inherent in execution.
・Correction: This algorithm internally calculates synthetic Bid and Ask prices using a defined spread factor ($\Delta$).
・Formula:
$$P_{Ask} = P_{Mid} + (\Delta / 2), \quad P_{Bid} = P_{Mid} - (\Delta / 2)$$
3. Algorithmic Core: The "TENKYO" Logic
The script identifies a "Band Walk" only when three independent layers of logic align perfectly.
Layer 1: The Volatility Impulse (Expansion)
The primary trigger is not merely price crossing a band, but the acceleration of the Band Width.
・Condition: The algorithm monitors the differential of the Upper and Lower bands. A signal is generated only if the expansion velocity exceeds a predefined Pips threshold (bwGrow_px) specifically tuned for the current session $S_i$.
Layer 2: Morphological Rejection Filtering (Wick Analysis)
To filter out "Mean Reversion Traps" (False Breakouts), the script analyzes the morphology of the signal candle using a Wick-to-Body Ratio test.
・The Trap: A candle that breaks the band but closes with a long rejection wick indicates exhausted momentum.
・The Filter: Let $R_{wb} = \text{Body} / \text{RejectionWick}$. If $R_{wb} < \text{Threshold}_{Si}$,, the signal is suppressed.This mathematical filter prevents the user from entering trades where the market sentiment has already reversed within the candle's duration.Layer
3: The "Scramble" State (Momentum Continuity)
The script introduces a unique state machine called "Scramble."
・Purpose: To detect re-entry opportunities during a high-momentum trend.
・Mechanism: If the market enters an "Endure" state (a pause in expansion) but validates specific continuity conditions (price remains within the $2\sigma$ corridor without violating the trend vector), the algorithm flags a "Scramble" signal. This effectively distinguishes between a "Trend Reversal" and a "Trend Pause."
4. Operational Features & Visual Guide
This tool is designed to serve as a rigorous "Filter" for manual trading.
・The "Mushy" Zone: Visualized by a gray fill between bands. This represents a low-kurtosis, mean-reverting market state where trend-following strategies are statistically disadvantageous. The algorithm disables all signals in this zone.
・Secure & Breakeven Visualization: The script projects potential exit points based on Maximum Favorable Excursion (MFE) logic calculated from the entry bar's synthetic price. This assists the user in objective trade management.
・Hard-Coded Optimization: Users will notice that many parameters are locked or preset. This is intentional. These values are derived from extensive backtesting on EURUSD and JPY pairs and serve as the "Control" variables for this research.
5. Conclusion
The Band Walk Detector TENKYO is a comprehensive logical framework that integrates time, volatility, and morphology. It denies the simplistic "one-size-fits-all" approach of standard indicators in favor of a granular, session-adaptive model. It provides the trader with a computationally verified "Go/No-Go" signal, bridging the gap between human intuition and algorithmic precision.
趋势分析
Smart TrendSmart Trend — TradingView Indicator Documentation
© 2026 Arup Sarkar
Indicator Name: Smart Trend
Version: 1.0
What It Does
Smart Trend is a trend detection and momentum analysis indicator for TradingView. It identifies high-probability trend flips, strong momentum moves, volatility expansions, and short-term counter-trend signals.
It combines:
- Current timeframe trend lines (EMA + SMA)
- Higher timeframe EMA context (1H + 4H + Daily)
- ATR-based dynamic exits
- Volume confirmation
Smart Trend is designed to:
- Detect trend changes early
- Confirm momentum strength
- Highlight weakening trends before reversals
- Keep charts clean and actionable
How It Works
1. Trend Detection: Trend Line (EMA21 + SMA50): represents current trend direction
2. Higher Timeframe EMA (HTF EMA 1H): confirms alignment
Trend Conditions:
- Uptrend: candle closes above trend line and HTF EMA
- Downtrend: candle closes below trend line and HTF EMA
- Choppy / Flat: neither uptrend nor downtrend
2. Momentum Strength
- Calculated using slope of trend line EMA
- Candle colors indicate momentum:
* Bullish: green, opacity based on strength
* Bearish: red, opacity based on strength
* Neutral / Choppy: grey
3. Alerts
- Smart Trend sends alerts once per confirmed condition on candle close:
- Uptrend Flip (U) — 2-candle confirmation, trend turns bullish
- Downtrend Flip (D) — 2-candle confirmation, trend turns bearish
- Strong Bullish Momentum — trend up + ATR breakout + volume confirmation
- Strong Bearish Momentum — trend down + ATR breakout + volume confirmation
- Volatility Expansion — ATR rising
- Volatility Expansion After Squeeze — breakout after low-volatility period
- Counter-Trend Up — short-term uptrend vs HTF downtrend
- Counter-Trend Down — short-term downtrend vs HTF uptrend
4. ATR Dynamic Exits
- ATR (Average True Range) over last 50 days is used to calculate dynamic stop levels
- Plots longExit and shortExit levels
- Helps traders manage risk dynamically based on market volatility
5. Visuals
- Trend Line: colored by direction (green/red/gray)
- Smoothed 4H+1D EMA: thin orange line for higher timeframe context
- Labels: “U” for uptrend flips, “D” for downtrend flips
- Counter-trend signals: small triangles above/below bars
- ATR exit lines: semi-transparent for clean chart
Benefits
- Detects trend reversals early
- Confirms strong momentum moves
- Highlights weakening trends using volume and ATR
- Provides dynamic exit levels for risk management
- Keeps chart clean and readable
- Alerts are actionable and trigger once per pattern confirmation
Conclusion
Smart Trend is an all-in-one trend and momentum tool for traders who want:
- Early detection of trend flips
- High-probability momentum signals
- Volatility-aware trade management
- Minimal visual clutter with maximum actionable insights
Smart Trend can be combined with support/resistance levels, higher timeframe analysis, and other indicators to increase confidence and improve trade decisions.
Candle End Tracker
This indicator identifies the exact location where a candlestick formation ends. It allows for more precise tracking of asset trends and also helps monitor price trend reversals. Its purpose is to provide the user with a tool that allows visual monitoring of price action. It was created especially for those who trade using scalping techniques. Its use is enhanced when the candlestick color is removed.
Condicion2Indicates with shading Strength at the beginning of wave 3, in the form of a blue candle + strong green (below)
Pivot Points - Market Structure with percent changeRULES:
1) Inputs that control pivots
• leftBars: how many bars to the left of the pivot must be lower (for a high pivot) or higher (for a low pivot).
• rightBars: how many bars to the right of the pivot must be lower (for a high pivot) or higher (for a low pivot).
These two values define the “strictness” of a swing.
2) Pivot High logic (ta.pivothigh)
A pivot high is confirmed at bar t when:
• The high at t is the maximum within the window:
○ from t - leftBars through t + rightBars
• In practical terms:
○ the prior leftBars bars have highs below that high
○ the next rightBars bars have highs below that high
In code:
• ph = ta.pivothigh(high, leftBars, rightBars)
Behavior:
• ph returns the pivot high price, but only after rightBars future bars have printed.
• Until then it returns na.
Where it is plotted:
• When ph is confirmed on the current bar, the actual pivot occurred rightBars bars ago, so we place the label at:
○ pivotBar = bar_index - rightBars
○ price = ph
3) Pivot Low logic (ta.pivotlow)
A pivot low is confirmed at bar t when:
• The low at t is the minimum within the window:
○ from t - leftBars through t + rightBars
• In practical terms:
○ the prior leftBars bars have lows above that low
○ the next rightBars bars have lows above that low
In code:
• pl = ta.pivotlow(low, leftBars, rightBars)
Same confirmation behavior:
• pl only becomes non-na after rightBars bars have passed.
• The label is plotted at bar_index - rightBars.
4) Confirmation delay (important)
Because pivots need “future” bars to confirm, every pivot is lagged by rightBars bars. This is expected and correct: it prevents repainting of the pivot point once confirmed.
5) The alternation rule (your added constraint)
On top of the raw pivot detection above, the script enforces:
• You cannot accept another pivot high until a pivot low has been accepted.
• You cannot accept another pivot low until a pivot high has been accepted.
Implementation:
• Track lastAccepted = "high" or "low".
• Only process pivotHigh when lastAccepted != "high".
• Only process pivotLow when lastAccepted != "low".
This is what prevents consecutive HHs (or LHs) printing without an intervening HL/LL pivot, and vice versa.
REALTIME BARS THAT ARE NOT REPAINTED BUT HAVE A 3 BAR DELAY ON THE CHART TIMEFRAME:
The confirmation delay is exactly rightBars bars.
• A pivot is only confirmed after rightBars future bars have printed.
• So the signal arrives rightBars × your chart timeframe after the actual turning point.
Examples:
• If rightBars = 3:
○ On a Daily chart: ~3 trading days after the pivot bar.
○ On a 65-minute chart: 3 × 65 = 195 minutes (about 3h 15m) after the pivot bar.
○ On a 10-minute chart: 30 minutes after the pivot bar.
Note: the pivot label is plotted back on the pivot bar (bar_index - rightBars), but you only learn it rightBars bars later.
Volume Profile - Density of Density [DAFE]Volume Profile - Density of Density
The Art & Science of Market Architecture: An AI-Enhanced Volume Profile & Order Flow Engine with a Revolutionary Visualization Core.
█ PHILOSOPHY: BEYOND THE PROFILE, INTO THE DENSITY
Standard Volume Profile shows you a one-dimensional story: where volume was traded. It shows you the first layer of density. But this is like looking at a galaxy and only seeing the stars, completely missing the gravitational forces, the dark matter, and the nebulae that give it structure.
Volume Profile - Density of Density (VP-DoD) is a revolutionary leap forward. It was engineered to analyze the second order of market data: the properties of the density itself . We don't just ask "Where did volume trade?" We ask " Why did it trade there? What was the character of that volume? What is the statistical significance of its shape? What is the probability of what happens next?"
This is a complete, institutional-grade analytical framework built on the DAFE principle: Data Analysis For Execution . It fuses a higher-timeframe structural engine, a proprietary microstructure delta engine, and a Bayesian AI into a single, cohesive intelligence system. It is designed to transform your chart from a flat, lagging record of the past into a living, three-dimensional map of market structure and intention.
█ WHAT MAKES VP-DoD ULTIMATE UNLIKE ANY OTHER PROFILE TOOL?
This is not just another volume profile script. It stands apart due to a suite of proprietary features previously unseen on this platform.
Higher Timeframe (HTF) Core: While other profiles are trapped by the noise of your current chart, VP-DoD builds its foundation on a higher timeframe of your choice (e.g., Daily data on a 15m chart). This is its greatest strength. It filters out intraday noise to reveal the true, macro architectural levels where institutions have built their positions.
Microstructure Hybrid Delta Engine: Standard delta is primitive. Our engine provides a far more accurate picture of order flow by simulating tick data and analyzing the battle between candle bodies (aggression) and wicks (absorption). It sees the hidden story inside the volume.
Bayesian AI Confidence Model: This is not a simple weighted score. VP-DoD incorporates a genuine Bayesian inference model. It starts with a neutral "belief" about the market and continuously updates its Bullish/Bearish Confidence percentage based on new evidence from delta, POC velocity, and price action. It thinks like a professional quant, providing you with a real-time statistical edge.
Advanced Statistical Analysis: It calculates metrics found nowhere else, such as Profile Entropy (a measure of market disorder) and Volatility Skew (a measure of fear vs. greed from the derivatives market), and normalizes them with Z-Scores for universal applicability.
Revolutionary Visualization Engine: Data should be intuitive and beautiful. VP-DoD features 14 distinct, animated, and theme-aware rendering modes . From "Nebula Plasma" and "Liquid Metal" to "DNA Helix" and "Constellation Map," you can transform raw data into interactive data art, allowing you to perceive market structure in a way that resonates with your unique analytical style.
█ THE ART OF ANALYSIS: A REVOLUTIONARY VISUALIZATION CORE
Data is useless if it isn't intuitive. VP-DoD shatters the mold of boring, static indicators with a state-of-the-art visualization engine. This is where data analysis becomes data art.
The Profile Itself: 14 Modes of Perception
Choose how you want to see the market's architecture:
Nebula Plasma & Quantum Matrix: Futuristic, cyberpunk aesthetics with vibrant glow effects that make HVNs and POCs pulse with energy.
Thermal Vision & Heat Shimmer: Renders the profile as a heatmap, instantly drawing your eye to the "hottest" zones of institutional liquidity.
Liquid Metal & Crystalline: Creates a tangible, almost physical representation of volume with metallic sheens, animated light flows, and faceted structures.
3D Depth Map & Prismatic Refraction: Uses layering and color channel separation to create a stunning illusion of depth, separating the profile into its core components.
Particle Field & Constellation Map: Abstract, beautiful data art modes that represent volume as animated particles or glowing stars, connecting major nodes like celestial bodies.
DNA Helix & Magnetic Field: Dynamic, animated modes that visualize the forces of attraction and repulsion around the POC and Value Area, representing the market's underlying code.
The POC & Value Area: A Living, Breathing Structure
The POC and VA are no longer static lines. They are a dynamic, interactive system designed for immediate contextual awareness:
Multi-Layered Glow Effects: The POC and VA lines are rendered with multiple layers of glowing, pulsating light, giving them a vibrant, three-dimensional presence on your chart.
Dynamic Labels & Badges: Each key level (POC, VAH, VAL) features an advanced label block showing not just the price, but the real-time distance from the current price, and a status badge (e.g., "▲ ABOVE", "◆ INSIDE") that changes color and text based on price interaction.
Intelligent Color Adaptation: The color of the VAH and VAL lines dynamically changes. A VAH line will glow bright green when price is breaking above it, but will appear dim and neutral when price is far below it, providing instant visual cues about market context.
█ ACTIONABLE INTELLIGENCE: THE SIGNAL & ALERT SYSTEM
VP-DoD is not just an analytical tool; it's a complete trading framework with a built-in, context-aware signal system.
Absorption/Distribution Signals (🏦): The "Whale Signal." Triggers when price and delta are in stark divergence, indicating large passive orders are absorbing the market—a classic institutional maneuver.
Coiling Signals (⚡): A high-probability setup that alerts you when the market is compressing (VA contracting, low entropy), storing energy for a significant breakout.
POC Shift & VA Breakout Signals: Trend-initiation signals that fire when value is migrating and the market breaks out of its established balance area with conviction.
Delta Extreme Signals: Contrarian reversal signals that detect capitulation at the extremes of buying or selling pressure, often marking key turning points.
█ THE DASHBOARD: YOUR INSTITUTIONAL COMMAND CENTER
The professional-grade dashboard provides a real-time, comprehensive overview of the market's hidden state.
Market Regime: Instantly know if the market is BALANCED, COILING, TRENDING , or VOLATILE .
Advanced Metrics: Monitor Entropy (disorder), Volatility Skew (fear/greed), and a composite Risk Score .
Institutional Score: See the calculated Liquidity Score and Conviction Level , grading the quality of the current market structure.
Bayesian AI: The crown jewel. See the real-time, AI-calculated Bull vs. Bear Confidence percentages, giving you a statistical edge on the probable direction of the next move.
Breakout Gauge: A forward-looking metric that calculates the Breakout Probability and its likely Bias (Bullish/Bearish).
█ DEVELOPMENT PHILOSOPHY
VP-DoD Ultimate was created out of a passion for revealing the hidden architecture of the market. We believe that the most profound truths are found at the intersection of rigorous science and intuitive art. This tool is the culmination of thousands of hours of research into market microstructure, statistical analysis, and data visualization. It is for the trader who is no longer satisfied with lagging indicators and seeks a deeper, more contextual understanding of the market auction. It is for the trader who believes that analysis should be not only effective but also beautiful.
VP-DoD Ultimate is designed to help you ride the trend with confidence, but more importantly, to give you the data-driven intelligence to anticipate that final, critical bend.
█ DISCLAIMER AND BEST PRACTICES
CONTEXT IS KING: This is an advanced contextual tool, not a simple "buy/sell" signal indicator. Use its intelligence to frame your trades within your own strategy.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. The signals and levels provided are based on historical data and statistical probability, not guarantees.
HTF IS YOUR GUIDE: For the highest probability setups, use the HTF feature (e.g., 240m or Daily) to identify macro structure. Then, execute trades on a lower timeframe based on interactions with these key macro levels.
ALIGN WITH THE REGIME: Pay close attention to the "Regime" and "Entropy" readouts on the dashboard. Trading a breakout strategy during a high-entropy "RANGING" regime is a low-probability endeavor. Align your strategy with the market's current state.
"The trend is your friend, except at the end where it bends."
— Ed Seykota, Market Wizard
Taking you to school. - Dskyz, Trade with Volume. Trade with Density. Trade with DAFE
Sequential 9(Setup Count)- KoRCThis indicator is a simplified Sequential 9-count (Setup 9) tool inspired by widely known “sequential counting” concepts. It detects potential exhaustion points by counting consecutive closes relative to the close 4 bars earlier:
Buy Setup (DIP): close < close for 9 consecutive bars (optional strict mode: <=)
Sell Setup (TOP): close > close for 9 consecutive bars (optional strict mode: >=)
Enhancements / Filters (optional):
Trend filter (default ON): uses EMA(200) as a macro trend filter and EMA(20) as a fast context filter.
Volatility filter (optional): ignores signals in low-volatility regimes using ATR% threshold.
Dedupe (default ON): prevents repeated signals within a short window (one-shot per swing concept).
Perfected highlight:
Signals are visually emphasized when a simple “perfected” condition is met (bar 8 or 9 extends beyond recent reference highs/lows), displayed with brighter colors.
How to use:
Use DIP/TOP labels as potential exhaustion alerts, not standalone trade signals. Combine with your own risk management and confirmation tools.
Disclaimer:
Not affiliated with or endorsed by any third-party. This script is provided for educational/visualization purposes only and does not constitute financial advice.
Sequential 9(Setup Count)- KoRCThis indicator is a simplified Sequential 9-count (Setup 9) tool inspired by widely known “sequential counting” concepts. It detects potential exhaustion points by counting consecutive closes relative to the close 4 bars earlier:
Buy Setup (DIP): close < close for 9 consecutive bars (optional strict mode: <=)
Sell Setup (TOP): close > close for 9 consecutive bars (optional strict mode: >=)
Enhancements / Filters (optional):
Trend filter (default ON): uses EMA(200) as a macro trend filter and EMA(20) as a fast context filter.
Volatility filter (optional): ignores signals in low-volatility regimes using ATR% threshold.
Dedupe (default ON): prevents repeated signals within a short window (one-shot per swing concept).
Perfected highlight:
Signals are visually emphasized when a simple “perfected” condition is met (bar 8 or 9 extends beyond recent reference highs/lows), displayed with brighter colors.
How to use:
Use DIP/TOP labels as potential exhaustion alerts, not standalone trade signals. Combine with your own risk management and confirmation tools.
Disclaimer:
Not affiliated with or endorsed by any third-party. This script is provided for educational/visualization purposes only and does not constitute financial advice.
Sequential 9(Setup Count)- KoRCThis indicator is a simplified Sequential 9-count (Setup 9) tool inspired by widely known “sequential counting” concepts. It detects potential exhaustion points by counting consecutive closes relative to the close 4 bars earlier:
Buy Setup (DIP): close < close for 9 consecutive bars (optional strict mode: <=)
Sell Setup (TOP): close > close for 9 consecutive bars (optional strict mode: >=)
Enhancements / Filters (optional):
Trend filter (default ON): uses EMA(200) as a macro trend filter and EMA(20) as a fast context filter.
Volatility filter (optional): ignores signals in low-volatility regimes using ATR% threshold.
Dedupe (default ON): prevents repeated signals within a short window (one-shot per swing concept).
Perfected highlight:
Signals are visually emphasized when a simple “perfected” condition is met (bar 8 or 9 extends beyond recent reference highs/lows), displayed with brighter colors.
How to use:
Use DIP/TOP labels as potential exhaustion alerts, not standalone trade signals. Combine with your own risk management and confirmation tools.
Disclaimer:
Not affiliated with or endorsed by any third-party. This script is provided for educational/visualization purposes only and does not constitute financial advice.
Dynamic Strike Selection Indicator [ARJO]Dynamic Strike Selection Indicator
OVERVIEW
The Dynamic Strike Selection Indicator is a visual analysis tool designed for traders observing NSE (National Stock Exchange of India) instruments, particularly those interested in options. It displays a trend-based oscillator in the lower chart pane and automatically calculates option strike prices , presenting them in an easy-to-read table. The indicator helps users observe trend changes and understand how option strikes might be selected based on current market conditions.
IT has a dashboard that shows you:
Where the trend might be heading (through the oscillator)
What option strikes align with the current price level
When trend transitions occurred
CONCEPTS
This indicator combines several technical analysis concepts in a beginner-friendly format:
1. Trend Observation (Chandelier Exit)
The indicator uses a method called "Chandelier Exit" which observes price volatility to identify potential trend directions. When the indicator shows green, it suggests an upward trend pattern; red suggests a downward pattern. These are reference points, not predictions.
2. Smoothed Price Movement
Raw price data can be noisy. This indicator applies mathematical smoothing (called "Ehlers 2-Pole filter") to reduce short-term fluctuations, making it easier to observe the underlying trend direction.
3. Momentum Oscillator
The oscillator (displayed as bars and lines in the lower pane) shows the difference between smoothed price and its moving average. Positive values suggest upward momentum; negative values suggest downward momentum . This is similar to how MACD or LBR works.
4. Strike Price Calculation
For option traders , the indicator automatically calculates:
ATM (At-The-Money): The strike price closest to the current underlying price
OTM (Out-of-The-Money): Strike prices at a distance from ATM, based on your settings
These calculations use standard rounding methods based on each instrument's official strike interval.
FEATURES
Visual Components:
Color-Coded Oscillator: Green/teal for potential uptrend, purple/red for potential downtrend
Histogram Display: Visual bars showing momentum strength
Chandelier Exit Lines: Plotted on the main price chart as reference levels
Information Table: Displays calculated strikes, timestamps, and optional tracking data
Supported Instruments:
Major indices: NIFTY, BANKNIFTY
Popular stocks: RELIANCE, HDFCBANK, ICICIBANK, INFY, TCS, SBIN, and more
Any NSE instrument (using manual strike interval setting)
Flexible Configuration:
Choose between "Sell Mode" and "Buy Mode" perspectives
Customize strike interval for any instrument
Adjust sensitivity of trend detection
Modify visual appearance (colors, table position, text size)
Track entry prices and observe P&L calculations (for reference only)
Features:
Automatic strike interval detection for predefined instruments
Manual override option for custom requirements
Real-time option premium fetching (where available)
Timestamp recording of trend transitions
Active trade highlighting based on current trend
HOW TO USE
Step 1: Adding the Indicator
Open your TradingView chart with an NSE instrument (e.g., NIFTY, BANKNIFTY, or any stock)
Search for " Dynamic Strike Selection Indicator " in the Indicators menu
Click to add it to your chart
You'll see an oscillator appear in a pane below your price chart and a table in the corner
Step 2: Basic Settings
Click the settings (gear icon) on the indicator. Here are the key settings to understand:
Symbol Settings:
Symbol Source: Keep it on " Use Chart Symbol " to analyze whatever instrument is on your chart
Custom Symbol: Only change if you want to analyze a different instrument while viewing another chart
Expiry Date:
Set the expiry date of the option contracts you're observing
Use the dropdown menus for Day, Month, and Year
Example: For 30th January 2025, select Day: 30, Month: 01, Year: 25
Trade Entry (Optional):
Trade Mode: Choose "Sell" or "Buy" based on your observation perspective
Lot Size: Enter your intended lot size for P&L calculation reference
PUT/CALL Entry Price: Manually enter prices if you want to track reference P&L
OTM Strike Distance:
Default is 4 (means 4 strikes away from ATM)
Increase for further OTM strikes, decrease for closer strikes
Step 3: Understanding the Display
The Oscillator (Lower Pane):
Green/Teal Bars: Suggest bullish momentum characteristics
Purple/Red Bars: Suggest bearish momentum characteristics
Zero Line: The reference point - above suggests strength, below suggests weakness
Color Change: When the oscillator changes from red to green (or vice versa), it indicates a potential trend transition
Active Row Highlighting:
In Sell Mode: Green background on PUT row during uptrend, Red background on CALL row during downtrend
In Buy Mode: Green background on PUT row during downtrend, Red background on CALL row during uptrend
This helps you observe which strike aligns with the current trend direction
Visual Customization:
Change oscillator colors under "Color Settings"
Adjust table position, size, and transparency under "Table Settings"
Modify table colors to match your chart theme
NOTES FOR BEGINNERS
Start Simple: Use default settings first. Don't change too many parameters initially.
Paper Trade First: Observe the indicator for several days before considering any real trades. Note how often trend transitions occur and how strikes align.
Understand Your Instrument: Know the strike interval for your chosen stock/index. NIFTY/BANKNIFTY use 100, most stocks use 10, 20, or 50.
Timeframe Matters: The indicator behaves differently on different timeframes. A 5-minute chart will show more transitions than a 1-hour chart.
Use with Other Analysis: This indicator is one tool among many. Combine with price action, support/resistance, and volume analysis.
Don't Chase: Just because a transition occurs doesn't mean you must act. Observe the quality of the move.
Backtest Observations: Use TradingView's replay feature to observe how the indicator performed historically.
CONCLUSION
The Dynamic Strike Selection Indicator serves as an educational tool for observing trend-based oscillator patterns and understanding how option strikes might be mathematically selected based on current market conditions. It combines visual trend analysis with structured strike price calculations, helping users study the relationship between momentum patterns and option strike references.
The indicator is designed to enhance chart interpretation skills and provide transparency into strike selection methodologies. It does not predict future price movements or guarantee any outcomes. Users are encouraged to use it as one component of a broader analytical approach, always conducting independent research and maintaining realistic expectations about market analysis tools.
DISCLAIMER
This indicator is strictly for educational and analytical observation purposes. It is NOT a trading system, signal generator, or financial advisory service.
What This Indicator Does NOT Do:
Does not predict future price movements with certainty
Does not guarantee profitable trades or outcomes
Does not constitute financial, investment, or trading advice
Does not replace the need for independent research and analysis
Does not eliminate trading risks or ensure success
What You Must Understand:
All calculated strikes, P&L values, and trend observations are informational references only
Option trading involves substantial risk and can result in complete loss of invested capital
Past indicator performance does not predict future results
Trend transitions shown are historical observations, not predictions
The "active" highlighting is a visual reference tool, not a trade recommendation
Conduct thorough independent research before taking any trading decision. and consult qualified, licensed financial professionals for personalized advice.
The creator of this indicator is not a registered investment advisor, broker, or financial planner. This tool is provided "as is" without warranties of any kind. By using this indicator, you acknowledge that you understand these risks and limitations, and you agree that all trading decisions and their consequences are solely your responsibility. If you do not fully understand these risks or are unsure about options trading, do not use this indicator for live trading .
[CodaPro] Multi-Timeframe RSI Dashboard v1.1
v1.1 Update - Fixed Panel Positioning
After initial release, I realized the indicator was displaying overlayed on the price chart instead of in its own panel. This has been corrected!
Changes:
- Fixed: Indicator now displays in separate subpanel below price chart (much cleaner!)
- Improved: 5min and 1H RSI lines are now bold and prominent for easier reading
- Improved: 15min, 4H, and Daily lines are subtle/transparent for context
- Updated: Default levels changed to 40/60 (tighter, high-conviction signals)
- Updated: All 5 timeframes now active by default (toggle any off in settings)
Thanks for the patience on this quick fix! The indicator should now display properly in its own panel below your price chart.
If you were using v1.0, please remove it from your chart and re-add the updated version.
Happy trading!
Multi-Timeframe RSI Dashboard
This indicator displays RSI (Relative Strength Index) values from five different timeframes simultaneously in a clean dashboard format, helping traders identify momentum alignment across multiple time periods.
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FEATURES
✓ Displays RSI for 5 customizable timeframes
✓ Color-coded status indicators (Oversold/Neutral/Overbought)
✓ Clean table display positioned in chart corner
✓ Fully customizable RSI length and threshold levels
✓ Works on any instrument and timeframe
✓ Real-time updates as price moves
✓ Smart BUY/SELL signals with cooldown system
✓ Non-repainting - signals never disappear after appearing
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HOW IT WORKS
The indicator calculates the standard RSI formula for each selected timeframe and displays the results in both a graph and organized table. Default timeframes are:
- 5-minute
- 15-minute
- 1-hour
- 4-hour (optional - hidden by default)
- Daily (optional - hidden by default)
Visual Display:
- Graph shows all RSI lines in subtle, transparent colors
- Lines don't overpower your price chart
- Dashboard table shows exact values and status
Color Coding:
- GREEN = RSI below 32 (traditionally considered oversold)
- YELLOW = RSI between 32-64 (neutral zone)
- RED = RSI above 64 (traditionally considered overbought)
All timeframes and thresholds are fully adjustable in the indicator settings.
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SIGNAL LOGIC
BUY Signal:
- Triggers when ALL 3 primary timeframes drop below the buy level (default: 32)
- Arrow appears near the RSI lines for easy identification
- 120-minute cooldown prevents signal spam
SELL Signal:
- Triggers when ALL 3 primary timeframes rise above the sell level (default: 64)
- Arrow appears near the RSI lines for easy identification
- 120-minute cooldown prevents signal spam
The cooldown system ensures you only see HIGH-CONVICTION signals, not every minor fluctuation.
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SCREENSHOT FEATURES VISIBLE
- Multi-timeframe RSI lines (5min, 15min, 1H) in subtle colors
- Smart BUY/SELL signals with cooldown system
- Real-time dashboard showing current RSI values
- Clean, professional design that doesn't clutter your chart
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DEFAULT SETTINGS
- Buy Signal Level: 32 (all 3 timeframes must cross below)
- Sell Signal Level: 64 (all 3 timeframes must cross above)
- Signal Cooldown: 24 bars (120 minutes on 5-min chart)
- Active Timeframes: 5min, 15min, 1H (4H and Daily can be enabled)
- RSI Length: 14 periods (standard)
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CUSTOMIZABLE SETTINGS
- RSI Length (default: 14)
- Oversold Level (default: 32)
- Overbought Level (default: 64)
- Buy Signal Level (default: 32)
- Sell Signal Level (default: 64)
- Signal Cooldown in bars (default: 24)
- Five timeframe selections (fully customizable)
- Toggle visibility for each timeframe
- Toggle dashboard table on/off
- Toggle arrows on/off
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HOW TO USE
1. Add the indicator to your chart
2. Customize timeframes in settings (optional)
3. Adjust RSI length and threshold levels (optional)
4. Monitor the dashboard for multi-timeframe alignment
INTERPRETATION:
When multiple timeframes show the same condition (all oversold or all overbought), it can indicate stronger momentum in that direction. For example:
- Multiple timeframes showing oversold may suggest a potential bounce
- Multiple timeframes showing overbought may suggest potential weakness
However, RSI alone should not be used as a standalone signal. Always combine with:
- Price action analysis
- Support/resistance levels
- Trend analysis
- Volume confirmation
- Other technical indicators
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EDUCATIONAL BACKGROUND
RSI (Relative Strength Index) was developed by J. Welles Wilder Jr. and introduced in his 1978 book "New Concepts in Technical Trading Systems." It measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
The RSI oscillates between 0 and 100, with readings:
- Below 30 traditionally considered oversold
- Above 70 traditionally considered overbought
- Around 50 indicating neutral momentum
Multi-timeframe analysis helps traders understand whether momentum conditions are aligned across different time horizons, potentially providing more robust signals than single-timeframe analysis alone.
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NON-REPAINTING GUARANTEE
This indicator uses confirmed bar data to prevent repainting:
- All RSI values are calculated from previous bar's close
- Signals only fire when the bar closes (not mid-bar)
- What you see in backtest = what you get in live trading
- No signals will disappear after they appear
This is critical for reliable trading signals and accurate backtesting.
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VISUAL DESIGN PHILOSOPHY
The indicator is designed with a "less is more" approach:
- Transparent RSI lines (60% opacity) keep price candles as the focal point
- Thin lines reduce visual clutter
- Arrows positioned near RSI levels (not floating randomly)
- Background flashes provide extra visual confirmation
- Dashboard table is compact and non-intrusive
The goal is to provide powerful multi-timeframe analysis without overwhelming your chart.
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TECHNICAL NOTES
- Uses standard request.security() calls for multi-timeframe data
- Non-repainting implementation with proper lookahead handling
- Minimal performance impact
- Compatible with all instruments and timeframes
- Written in Pine Script v6
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IMPORTANT DISCLAIMERS
- This is an educational tool for technical analysis
- Past RSI patterns do not guarantee future results
- No indicator is 100% accurate
- Always use proper risk management
- Consider multiple factors before making trading decisions
- This indicator does not provide buy/sell recommendations
- Consult with a qualified financial advisor before trading
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LEARNING RESOURCES
For traders new to RSI, consider studying:
- J. Welles Wilder's original RSI methodology
- RSI divergence patterns
- RSI in trending vs ranging markets
- Multi-timeframe analysis techniques
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Disclaimer
This tool was created using the CodaPro Pine Script architecture engine — designed to produce robust trading overlays, educational visuals, and automation-ready alerts. It is provided strictly for educational purposes and does not constitute financial advice. Always backtest and demo before applying to real capital.
Difference Based Curvature by WizkaThis is my very explorative script which studies the use of "derivatives" in indicating the momentum and the potential reversals. As we know the market data is so noisy and non-stationary (random walk) that mathematical derivatives can not be used. Therefore I use "differences (Diff)" as an analogy to them. The indicator, which I call "Difference-Based Curvature", calculates 10 period differences (ROC10) for three segments (0,10; 10,20; 20,30) and creates of them three degrees of Diff: 1st DIff = ROC(10), 2nd DIff = "dROC" = ROC(0,10) - ROC(10,20), which represents the "curvature" of the price movement. Furthermore, the 3rd Diff = "jROC" is calculated as a change of 2nd diff between consecutive segments. The values of Diffs are plotted as lines, but the interpretation is in the background colors. Dark green indicates strong (accelerating) growth (1. and 2.Diff >0). Light green = slowing increase (2.Diff turns <0). Dark red = strong decrease (1. and 2. Diff <0). Light red = slowing decrease (1.Diff<0, 2.Diff turning >0). Furthermore, red and green arrows are plotted when 3.Diff changes to negative in uptrend or positive in downtrend (hence trying to hint early potential top or bottom formation).
There are a few scale smoothing options, and I mostly use ATR-smoothing on.
It can be noted, that there is a certain resemblance with MACD (or PPO) as can be seen in the chart. This corresponds my intuition of the MACD: 1.Diff vs. MACD-line, 2.DIff vs. sign of Histogram and 3.Diff vs. direction of histogram.
DISCLAIMER: This indicator has not been tested, and use of it only with caution and own responsibility. No decision should be made on one indicator only.
Unfortunately some parameters can only be changed in the script. But it is open.
Have fun experimenting!
Net Long / Short + OI (Absorption Style)clear insight of the move to the upside or downside here , adjust metrics accordingly .
Donchian Channels (Multi Time Frame) x 3)📊 MTF Donchian Channels Pro — Triple Timeframe Structure
MTF Donchian Channels Pro is a professional-grade multi-timeframe market structure indicator designed to help traders visualize trend, momentum, and execution zones on a single chart.
This tool allows you to plot up to three independent Donchian Channels, each with its own configurable timeframe and lookback length, giving you instant insight into multi-timeframe alignment and breakout conditions.
By stacking higher, medium, and lower timeframe channels, traders can eliminate noise, improve timing, and trade in the direction of dominant market structure.
🔧 Key Features
✅ Up to 3 independent Donchian Channels
✅ Individual timeframe selection for each channel
✅ Adjustable lookback length per channel
✅ Optional show/hide per channel
✅ Midline (basis) for structure reference
✅ Clean visual fills for fast interpretation
✅ Works on all markets and timeframes
🎯 How to Use
This indicator is designed to support multi-timeframe trading systems.
Example configuration:
• Channel 1 → Lower timeframe (Execution)
• Channel 2 → Medium timeframe (Momentum)
• Channel 3 → Higher timeframe (Structure)
Long Bias Example
Price above higher timeframe channel
Pullback into mid timeframe range
Breakout on lower timeframe channel
Short Bias Example
Price below higher timeframe channel
Retrace into structure
Breakdown on execution timeframe
When all channels align, probability increases.
📈 Best Use Cases
✔ Futures Scalping
✔ Options Day Trading
✔ Forex & Crypto
✔ Swing Trading
✔ Prop Firm Evaluations
✔ Trend-Following Systems
⚠️ Risk Disclaimer
This indicator is a market structure visualization tool and does not provide financial advice. Always use proper risk management and confirm with your own strategy.
200 EMA Scalping 1 MinuteOnly Scalping in 1 Minute Super accurate, low faults, Strict rule based management, in Nifty 50
200 EMA Scalping 1 Minute (Only Nifty 1 Min Scalping)Only for scalping in 1 minute timeframe in Nifty 50.
Weekday open ConnectorIndicator connecting open candles between 2 days of the week. For example if you want to see weekend price action, in setting you select Saturday and Monday. Connected lines are red if Saturday opened higher than Monday, green in opposite case.
[RoyalNeuron] Supertrend [Medusa v1.0]Hey everyone, 👋
This is Medusa Supertrend v1.0.
Proper Supertrend logic using ATR with trend continuation rules.
Optimized default settings for BTC 30 minute charts, but fully adjustable to you liking.
Optional BUY and SELL labels only when the trend actually flips
Soft trend highlighting so you can see regime shifts without blinding your chart
Quick way to use it:
Green Supertrend with bullish fill means bias stays long and you look for continuation setups
Red Supertrend with bearish fill means bias stays defensive or short.
BUY and SELL labels mark trend changes.
It works best when combined with momentum or volume tools like WidowMaker to time entries with the trend instead of fighting it.
Use it, break it, tell me what you’d improve. More Medusa iterations and free tools coming.
Cheers,
RoyalNeuron 👑
Supertrend, Trend, ATR, Directional Bias, Buy Sell, Bitcoin, BTC, Clean Charts. Free, Alerts
[CT] MoBo BandsThis script is the TradingView Pine Script version of MoBo Bands, the Momentum Breakout indicator, and the original creator credited in the code is NPR21, who also notes it was based on an original Thinkorswim concept and then modified and converted to Pine Script by NPR21.
At its core, MoBo Bands is a volatility envelope built from a simple moving average and standard deviation, but it’s not meant to be used like a normal Bollinger Band “touch = reversal” tool. It’s designed to identify when price has pushed far enough away from its recent average to qualify as a breakout regime, and then to keep you biased in that regime until a true opposite breakout occurs. The indicator calculates a midline using a simple moving average of your chosen price source over the selected length. It then measures how spread out price has been over that same lookback using standard deviation. From there it builds an upper and lower band by taking the midline and adding or subtracting a user-defined multiple of standard deviation. In this script those multipliers are “Num Dev Up” and “Num Dev Down.” They default to ±0.8, which is tighter than traditional Bollinger settings, meaning the bands are closer to price and the indicator is more willing to declare a breakout state. The “Displace” input simply shifts the plotted bands forward or backward by bars for visual alignment; functionally, the breakout comparisons are being made against the displaced band values, so if you use displacement you are intentionally changing where signals occur in time.
The key concept in MoBo is that it separates “where price is right now” from “what state we are in.” First it assigns a raw status called MoboStatus: if the close is above the upper band it becomes bullish breakout state, if the close is below the lower band it becomes bearish breakout state, and if the close is between the bands it is neutral. If the script stopped there, you’d only see signals on the exact bars that closed outside the bands. Instead, it adds a second layer called BreakStatus, which is a persistent regime variable. BreakStatus changes only when a true breakout happens, and it does not reset to neutral when price returns inside the bands. That is the entire purpose of the “recursion” line: once BreakStatus flips bullish, it stays bullish through the inside-band chop until a bearish breakout flips it the other way, and vice versa. This is why the band colors and the band fill behave the way they do. When BreakStatus is bullish, the bands plot green and the filled area between them is green. When BreakStatus is bearish, the bands plot red and the fill becomes red. If price is simply oscillating inside the bands, BreakStatus stays whatever it last was, which is the whole “stay with the breakout bias” philosophy.
Because of that design, the most straightforward way to trade it is to treat MoBo as a regime/bias indicator first, and an entry tool second. A bullish regime begins when you get a bullish breakout condition, meaning you had a close above the upper band and BreakStatus flips to bullish. In this script that flip is also where the “Break Out” arrow prints. That event is telling you volatility expansion has pushed price into an upside breakout state, so your default expectation becomes continuation or at least holding above the midline with higher odds of higher highs. A common execution approach is to take the breakout as your initial trigger, then use the band structure to manage the trade: if you want a more aggressive style, you enter on the breakout bar close or on the next bar if it confirms. If you want a more conservative style, you wait for the first pullback after the breakout and enter when price holds above the midline or reclaims the upper band area. Your risk can be framed in a few ways depending on instrument and timeframe: the most “indicator-pure” protective logic is that the bullish regime is invalidated only when price later breaks below the lower band and flips BreakStatus bearish. That is a very wide stop concept, but it reflects the indicator’s intent to ride trends. A tighter, more practical stop for active trading is to use the midline or a recent swing low as the risk point while still respecting the MoBo bias; the idea is you are using MoBo to keep you from fading the move, while your stop is based on structure rather than waiting for a full opposite breakout.
A bearish regime is the exact mirror. It begins when a close is below the lower band and BreakStatus flips bearish, which is when the red “Break Down” arrow prints. From that point, you treat rallies into the midline/band area as potential short opportunities as long as the regime remains bearish. More aggressive traders will short the initial breakdown; more conservative traders wait for a bounce that fails back below the midline or for a retest of the lower band zone. Exits can be handled either as “regime exits,” meaning you hold until BreakStatus flips the other way, or as “trade exits,” meaning you scale or exit into targets while staying aligned with the regime until it ends. On trend days, the regime exit can keep you in the move much longer than typical oscillators. On choppy days, a tighter risk plan is needed because a tight band setting can flip more often.
The candle coloring addition you asked for simply mirrors the fill state so you can read the regime without looking at the bands. When the fill is green (BreakStatus bullish), the candles are tinted green; when the fill is red (BreakStatus bearish), the candles are tinted red; when neither fill is active, it leaves the candles unchanged. This doesn’t change the logic or signals, it just makes the “state” visually obvious.
Where traders usually get the most out of MoBo is by using it in the context it was designed for: volatility expansion and trend participation. If you try to trade it like a mean-reversion Bollinger Band system, you’ll often do the opposite of what it’s signaling. Here, a close outside the band is not “overbought/oversold,” it’s the condition that defines a breakout regime. The best trades tend to come when the breakout occurs in alignment with a higher-timeframe trend or after a compression period, because the band break is then capturing a genuine shift in volatility and direction. If you want it to trigger fewer, higher-quality regimes, increase the length and/or increase the deviation multipliers, because that widens the envelope and demands a more significant move to flip state. If you want earlier, more frequent signals, reduce the length and/or reduce the multipliers, understanding you’ll also increase whipsaw risk.
Engulfing Breakout StructureEngulfing Breakout Structure (EBS)
" Identify High-Probability Market Structures, Not Just Patterns. "
The E ngulfing Breakout Structure (EBS) is a professional-grade analysis tool designed to filter market noise and identify the true origins of significant price movements. While standard Engulfing patterns occur frequently, many lead to "fakeouts" within a range. EBS solves this by treating an engulfing candle as a potential "structure" that is only validated once a decisive Break-away occurs.
How it Works: The EBS Logic
Unlike traditional indicators that plot signals immediately, EBS follows a strict confirmation process:
Structure Formation (Invisible): The script internally tracks "Candidate" engulfing candles.
Break-away Validation: The structure is only drawn on the chart after price aggressively breaks out of the engulfing range, accompanied by a Fair Value Gap (FVG).
Historical Anchoring: Once confirmed, the block is plotted back to its origin, highlighting the exact zone where the market imbalance was created.
Key Features
Break-away Filter: Eliminates low-probability signals by ensuring price has left the "zone of indecision."
Dynamic Structure Plotting: Automatically draws the supply/demand blocks that acted as the catalyst for the breakout.
Smart FVG Integration: Detects and highlights the gaps created during the breakout, providing additional confluence for entry.
EBS Break-away Confirmed: Triggered the moment a new structure is validated by a decisive price breakout. This alert signals that a new supply or demand zone has been established.
EBS Structure Tested (Mitigation): Triggered when price returns to touch a previously confirmed EBS block. This "Mitigation" often presents the highest risk-to-reward entry opportunity as it tests the origin of the breakout.
Trading Strategy
The Breakout (Aggressive): Enter as soon as the EBS block and FVG appear, following the momentum.
The Retest (Conservative): Wait for price to return and "mitigate" the EBS block. This retest of a confirmed breakout structure is a classic institutional entry pattern.
EURCHF Pro: 1H Trend + Prob + Sessions + Timer + SwingsEURCHF – Table Explanation (Calm & Precision)
EURCHF is a slow and controlled pair.
The table focuses on patience and precision.
🔹 Market Trend (1H)
If the trend is not clear → no trade
EURCHF dislikes choppy markets
👉 The table helps you stay out of bad conditions.
🔹 Session
Best time:
London session only
👉 LOW session = stay out.
🔹 Candle Time Left
Less critical than other pairs.
Still useful for final confirmation
👉 No need to rush.
🔹 Buy / Sell Probability
Best results at 60%+
Fewer trades, higher quality
👉 One clean trade is better than many weak ones.
🔹 RSI / Volume
RSI moves slowly
Weak volume = low continuation
🟢 Result:
A precision-focused table for patient traders.
GBPJPY Pro: 1H Trend + Prob + Sessions + Timer + Swings📊 GBPJPY – Table Explanation (High Volatility Control)
GBPJPY is fast and volatile.
The table is designed to protect you before profit.
🔹 Market Trend (1H)
The most important field for this pair.
Trading against the trend is very risky
👉 Always follow the 1H trend.
🔹 Session
Best trading times:
London
London–New York Overlap
👉 Avoid trading outside these sessions.
🔹 Candle Time Left
Extremely important for GBPJPY.
Entering before candle close can be dangerous
👉 Always wait for confirmation.
🔹 Buy / Sell Probability
50%+ can be acceptable due to strong moves
“READY” status is more important than the number
👉 Quality over quantity.
🔹 RSI / Volume
RSI moves fast
Strong volume often precedes sharp moves
⚠️ Result:
A defensive table that helps avoid late or emotional entries.
USDJPY Pro: 1H Trend + Prob + Sessions + Timer + Swings
📊 USDJPY – Table Explanation (Balanced & Clean)
USDJPY is a well-balanced pair with smooth trends.
The table helps you enter calmly and precisely.
🔹 Market Trend (1H)
Shows the main direction from the 1-Hour timeframe.
BULL → Look for BUY only
BEAR → Look for SELL only
👉 USDJPY respects trend direction very well.
🔹 Session
Displays the current trading session.
London & New York = best volatility
LOW = slow market
👉 Helps you avoid trading during dead hours.
🔹 Candle Time Left
Shows how much time remains before the candle closes.
👉 Very useful for waiting for candle confirmation on USDJPY.
🔹 Buy / Sell Probability
Shows the strength of BUY or SELL setups in %.
55%+ is usually sufficient for this pair
👉 Helps avoid weak or early entries.
🔹 RSI / Volume
Confirms momentum and activity.
Strong volume = better follow-through
✅ Result:
A clean table designed for disciplined, trend-based trading.






















