Triple Tap Sniper Triple Tap Sniper v3 – EMA Retest Precision System
Triple Tap Sniper is a precision trading tool built around the 21, 34, and 55 EMAs, designed to capture high-probability retests after EMA crosses. Instead of chasing the first breakout candle, the system waits for the first pullback into the EMA21 after a trend-confirming cross — the spot where professional traders often enter.
🔑 Core Logic
EMA Alignment → Trend defined by EMA21 > EMA34 > EMA55 (bullish) or EMA21 < EMA34 < EMA55 (bearish).
Cross Detection → Signals are only armed after a fresh EMA cross.
Retest Entry → Buy/Sell signals fire only on the first retest of EMA21, with trend still intact.
Pro Filters →
📊 Higher Timeframe Confirmation: Aligns signals with larger trend.
📈 ATR Volatility Filter: Blocks weak signals in low-vol chop.
📏 EMA Spread Filter: Ignores tiny “fake crosses.”
🕯️ Price Action Filter: Requires a proper wick rejection for valid entries.
🚀 Why Use Triple Tap Sniper?
✅ Filters out most false signals from sideways markets.
✅ Focuses only on clean trend continuations after pullbacks.
✅ Beginner-friendly visuals (Buy/Sell labels) + alert-ready for automation.
✅ Flexible: works across multiple timeframes & asset classes (stocks, crypto, forex).
⚠️ Notes
This is a signal indicator, not a full strategy. For backtesting and optimization, convert to a strategy and adjust filters per market/timeframe.
No indicator guarantees profits — use with sound risk management.
Trend Analysis
MA Median Crossover | MisinkoMasterThe MA Median Crossover is a new trend analysis tool designed to help traders catch trends with less noisy, more accuracy and speed.
While simple, this effective indicator can improve your strategy more than you might think.
How does it work?
1. Get user defined input
=> set up your indicator to your likings, and make it capture what you want it to
2. Calculate the Moving Average and Median Base
=> this is the foundation of the indicator
3. Smooth the median
=> less noise, more accuracy, just like that!
4. Compare the MA to the smoothed Median
=> If the MA > smoothed Median, it signals an uptrend, if the MA < smoothed Median,
it signals a downtrend.
Yep, that is how simple it is.
Final note:
Changing the MA type is very influencial, so watch out when changing them.
Enjoy G´s!
AlphaADX Trend Meter - Enhanced ADX VisualizationTechnical Overview
This indicator enhances the traditional Average Directional Index (ADX) with advanced visualization techniques and adaptive threshold management. It demonstrates several Pine Script programming concepts including dynamic color gradients, conditional plotting, and real-time information display systems.
Mathematical Methodology
Core ADX Calculation
Uses standard DMI (Directional Movement Index) calculation: ta.dmi(diLength, adxSmoothing)
Applies configurable smoothing to reduce noise while preserving trend signals
Maintains mathematical integrity of Welles Wilder's original ADX formula
Dynamic Color System
Gradient Implementation:
pinecolor.from_gradient(adxValue, minThreshold, maxThreshold, startColor, endColor)
Color Logic:
Strong trends (ADX > 25): Bright colors (green for bullish, red for bearish)
Weak trends (15 < ADX ≤ 25): Muted colors with transparency
Choppy markets (ADX ≤ 15): Gray coloring to indicate low directional movement
Gradient mode creates smooth color transitions based on ADX intensity
Adaptive Threshold Framework
While maintaining standard ADX interpretation levels, the indicator allows customization of:
Strong trend threshold (default: 25)
Weak trend threshold (default: 20)
Chop zone threshold (default: 15)
This flexibility accommodates different market conditions and trading styles.
Technical Features
1. Multi-Layer Visualization
Primary ADX Line: Color-coded based on strength and direction
Histogram Display: Shows ADX momentum with transparency effects
Trend Meter Bar: Simplified visual reference at bottom of chart
Background Zones: Subtle shading for strong trends and chop zones
2. Signal Generation
Automatic Detection:
Strong trend emergence (ADX crosses above strong threshold)
Chop zone entry warnings (ADX falls below chop threshold)
Trend direction changes in strong trending markets
Visual Markers:
Triangle arrows for strong trend signals
Cross markers for chop zone warnings
Color-coded based on bullish/bearish bias
3. Information Dashboard
Real-time table displaying:
Current ADX value with dynamic background coloring
Trend status classification (Strong/Weak/Neutral/Choppy)
Directional bias (Bullish ↑/Bearish ↓)
DI+ and DI- values for detailed analysis
4. Alert System
Programmatic alerts for:
Strong trend emergence
Entry into consolidation zones
Trend reversals during strong directional moves
Breakouts from choppy conditions
Programming Techniques Demonstrated
Advanced Pine Script Concepts:
Dynamic Color Functions: Custom color selection based on multiple conditions
Conditional Plotting: Different visual elements based on user preferences
Table Implementation: Real-time information display with formatting
Alert Integration: Multiple condition monitoring system
Input Validation: Parameter bounds and logical constraints
Visual Enhancement Methods:
Gradient color transitions for smooth visual feedback
Transparency effects to reduce visual clutter
Multi-component display system for comprehensive analysis
Customizable visual elements for user preference accommodation
Educational Value
This indicator serves as a learning tool for:
Enhanced ADX Implementation: Shows how to extend built-in indicators with additional functionality
Visual Design Principles: Demonstrates effective use of colors, transparency, and layout
User Interface Development: Table creation and information display techniques
Alert System Design: Comprehensive condition monitoring and notification
Configuration Options
ADX Parameters:
ADX Length: Period for directional movement calculation
DI Length: Directional indicator smoothing period
ADX Smoothing: Additional smoothing for noise reduction
Threshold Levels:
Strong Trend Level: Threshold for identifying strong directional movement
Weak Trend Level: Moderate trend identification threshold
Chop Zone Level: Low directional movement threshold
Visual Controls:
Trend Meter: Toggle bottom reference bar
Histogram: Show/hide ADX momentum bars
Signal Arrows: Enable/disable trend change markers
Info Table: Display/hide real-time information panel
Gradient Mode: Switch between smooth gradients and solid colors
Use Cases and Applications
Market Analysis:
Trend Identification: Determine current market directional strength
Regime Classification: Distinguish between trending and ranging markets
Timing Analysis: Identify optimal periods for trend-following strategies
Risk Management:
Environment Assessment: Avoid trading during low-ADX choppy periods
Position Sizing: Adjust trade size based on trend strength
Strategy Selection: Choose appropriate techniques based on market regime
Educational Purposes:
ADX Understanding: Visual representation of directional movement concepts
Pine Script Learning: Example of advanced indicator development techniques
Market Behavior: Observation of trend strength patterns across different timeframes
Limitations and Considerations
Technical Limitations:
ADX is a lagging indicator that confirms existing trends rather than predicting them
Requires sufficient price movement data for meaningful calculations
May generate false signals in very low volatility environments
Threshold levels may need adjustment for different asset classes
Usage Guidelines:
Most effective when combined with other forms of technical analysis
Consider market context and fundamental factors
Use appropriate timeframes for intended trading approach
Regular parameter review for optimal performance
Performance Notes:
Calculations optimized for real-time analysis
Visual elements designed to minimize chart clutter
Alert system prevents excessive notifications through condition filtering
Disclaimer
This indicator is designed for educational and analytical purposes. It demonstrates enhanced visualization of the ADX indicator and various Pine Script programming techniques. Users should understand that past performance does not guarantee future results and should always employ proper risk management practices. The indicator should be used as part of a comprehensive trading approach rather than as a standalone decision-making tool.
Sentinel 5 — OHL daybreak signals [KedArc Quant]Overview
Sentinel 5 plots the first-bar high/low of each trading session and gives clean, rules-based signals in two ways:
1) OHL Setups at the close of the first bar (Open equals/near High for potential short; Open equals/near Low for potential long).
2) Breakout Signals later in the session when price breaks the first-bar High/Low, with optional body/penetration filters.
Basic workflow
1. Wait for the first session bar to finish.
*If O≈H (optionally by proximity) → short setup. •
*If O≈L → long setup. • If neither happens, optionally allow later breakouts.
2. Optional: Act only on breakouts that penetrate a minimum % of that bar’s range/body.
3. Skip the day automatically if the first bar is abnormally large (marubozu-like / extreme ATR / outsized vs yesterday).
Signals & Markers
Markers on the chart:
▲ O=L (exact) / O near L (proximity) – long setup at first-bar close.
▼ O=H (exact) / O near H (proximity) – short setup at first-bar close.
▲ Breakout Long – later bar breaks above first-bar High meeting your penetration rule.
▼ Breakout Short – later bar breaks below first-bar Low meeting your penetration rule.
Martingale Strategy Simulator [BackQuant]Martingale Strategy Simulator
Purpose
This indicator lets you study how a martingale-style position sizing rule interacts with a simple long or short trading signal. It computes an equity curve from bar-to-bar returns, adapts position size after losing streaks, caps exposure at a user limit, and summarizes risk with portfolio metrics. An optional Monte Carlo module projects possible future equity paths from your realized daily returns.
What a martingale is
A martingale sizing rule increases stake after losses and resets after a win. In its classical form from gambling, you double the bet after each loss so that a single win recovers all prior losses plus one unit of profit. In markets there is no fixed “even-money” payout and returns are multiplicative, so an exact recovery guarantee does not exist. The core idea is unchanged:
Lose one leg → increase next position size
Lose again → increase again
Win → reset to the base size
The expectation of your strategy still depends on the signal’s edge. Sizing does not create positive expectancy on its own. A martingale raises variance and tail risk by concentrating more capital as a losing streak develops.
What it plots
Equity – simulated portfolio equity including compounding
Buy & Hold – equity from holding the chart symbol for context
Optional helpers – last trade outcome, current streak length, current allocation fraction
Optional diagnostics – daily portfolio return, rolling drawdown, metrics table
Optional Monte Carlo probability cone – p5, p16, p50, p84, p95 aggregate bands
Model assumptions
Bar-close execution with no slippage or commissions
Shorting allowed and frictionless
No margin interest, borrow fees, or position limits
No intrabar moves or gaps within a bar (returns are close-to-close)
Sizing applies to equity fraction only and is capped by your setting
All results are hypothetical and for education only.
How the simulator applies it
1) Directional signal
You pick a simple directional rule that produces +1 for long or −1 for short each bar. Options include 100 HMA slope, RSI above or below 50, EMA or SMA crosses, CCI and other oscillators, ATR move, BB basis, and more. The stance is evaluated bar by bar. When the stance flips, the current trade ends and the next one starts.
2) Sizing after losses and wins
Position size is a fraction of equity:
Initial allocation – the starting fraction, for example 0.15 means 15 percent of equity
Increase after loss – multiply the next allocation by your factor after a losing leg, for example 2.00 to double
Reset after win – return to the initial allocation
Max allocation cap – hard ceiling to prevent runaway growth
At a high level the size after k consecutive losses is
alloc(k) = min( cap , base × factor^k ) .
In practice the simulator changes size only when a leg ends and its PnL is known.
3) Equity update
Let r_t = close_t / close_{t-1} − 1 be the symbol’s bar return, d_{t−1} ∈ {+1, −1} the prior bar stance, and a_{t−1} the prior bar allocation fraction. The simulator compounds:
eq_t = eq_{t−1} × (1 + a_{t−1} × d_{t−1} × r_t) .
This is bar-based and avoids intrabar lookahead. Costs, slippage, and borrowing costs are not modeled.
Why traders experiment with martingale sizing
Mean-reversion contexts – if the signal often snaps back after a string of losses, adding size near the tail of a move can pull the average entry closer to the turn
Behavioral or microstructure edges – some rules have modest edge but frequent small whipsaws; size escalation may shorten time-to-recovery when the edge manifests
Exploration and stress testing – studying the relationship between streaks, caps, and drawdowns is instructive even if you do not deploy martingale sizing live
Why martingale is dangerous
Martingale concentrates capital when the strategy is performing worst. The main risks are structural, not cosmetic:
Loss streaks are inevitable – even with a 55 percent win rate you should expect multi-loss runs. The probability of at least one k-loss streak in N trades rises quickly with N.
Size explodes geometrically – with factor 2.0 and base 10 percent, the sequence is 10, 20, 40, 80, 100 (capped) after five losses. Without a strict cap, required size becomes infeasible.
No fixed payout – in gambling, one win at even odds resets PnL. In markets, there is no guaranteed bounce nor fixed profit multiple. Trends can extend and gaps can skip levels.
Correlation of losses – losses cluster in trends and in volatility bursts. A martingale tends to be largest just when volatility is highest.
Margin and liquidity constraints – leverage limits, margin calls, position limits, and widening spreads can force liquidation before a mean reversion occurs.
Fat tails and regime shifts – assumptions of independent, Gaussian returns can understate tail risk. Structural breaks can keep the signal wrong for much longer than expected.
The simulator exposes these dynamics in the equity curve, Max Drawdown, VaR and CVaR, and via Monte Carlo sketches of forward uncertainty.
Interpreting losing streaks with numbers
A rough intuition: if your per-trade win probability is p and loss probability is q=1−p , the chance of a specific run of k consecutive losses is q^k . Over many trades, the chance that at least one k-loss run occurs grows with the number of opportunities. As a sanity check:
If p=0.55 , then q=0.45 . A 6-loss run has probability q^6 ≈ 0.008 on any six-trade window. Across hundreds of trades, a 6 to 8-loss run is not rare.
If your size factor is 1.5 and your base is 10 percent, after 8 losses the requested size is 10% × 1.5^8 ≈ 25.6% . With factor 2.0 it would try to be 10% × 2^8 = 256% but your cap will stop it. The equity curve will still wear the compounded drawdown from the sequence that led to the cap.
This is why the cap setting is central. It does not remove tail risk, but it prevents the sizing rule from demanding impossible positions
Note: The p and q math is illustrative. In live data the win rate and distribution can drift over time, so real streaks can be longer or shorter than the simple q^k intuition suggests..
Using the simulator productively
Parameter studies
Start with conservative settings. Increase one element at a time and watch how the equity, Max Drawdown, and CVaR respond.
Initial allocation – lower base reduces volatility and drawdowns across the board
Increase factor – set modestly above 1.0 if you want the effect at all; doubling is aggressive
Max cap – the most important brake; many users keep it between 20 and 50 percent
Signal selection
Keep sizing fixed and rotate signals to see how streak patterns differ. Trend-following signals tend to produce long wrong-way streaks in choppy ranges. Mean-reversion signals do the opposite. Martingale sizing interacts very differently with each.
Diagnostics to watch
Use the built-in metrics to quantify risk:
Max Drawdown – worst peak-to-trough equity loss
Sharpe and Sortino – volatility and downside-adjusted return
VaR 95 percent and CVaR – tail risk measures from the realized distribution
Alpha and Beta – relationship to your chosen benchmark
If you would like to check out the original performance metrics script with multiple assets with a better explanation on all metrics please see
Monte Carlo exploration
When enabled, the forecast draws many synthetic paths from your realized daily returns:
Choose a horizon and a number of runs
Review the bands: p5 to p95 for a wide risk envelope; p16 to p84 for a narrower range; p50 as the median path
Use the table to read the expected return over the horizon and the tail outcomes
Remember it is a sketch based on your recent distribution, not a predictor
Concrete examples
Example A: Modest martingale
Base 10 percent, factor 1.25, cap 40 percent, RSI>50 signal. You will see small escalations on 2 to 4 loss runs and frequent resets. The equity curve usually remains smooth unless the signal enters a prolonged wrong-way regime. Max DD may rise moderately versus fixed sizing.
Example B: Aggressive martingale
Base 15 percent, factor 2.0, cap 60 percent, EMA cross signal. The curve can look stellar during favorable regimes, then a single extended streak pushes allocation to the cap, and a few more losses drive deep drawdown. CVaR and Max DD jump sharply. This is a textbook case of high tail risk.
Strengths
Bar-by-bar, transparent computation of equity from stance and size
Explicit handling of wins, losses, streaks, and caps
Portable signal inputs so you can A–B test ideas quickly
Risk diagnostics and forward uncertainty visualization in one place
Example, Rolling Max Drawdown
Limitations and important notes
Martingale sizing can escalate drawdowns rapidly. The cap limits position size but not the possibility of extended adverse runs.
No commissions, slippage, margin interest, borrow costs, or liquidity limits are modeled.
Signals are evaluated on closes. Real execution and fills will differ.
Monte Carlo assumes independent draws from your recent return distribution. Markets often have serial correlation, fat tails, and regime changes.
All results are hypothetical. Use this as an educational tool, not a production risk engine.
Practical tips
Prefer gentle factors such as 1.1 to 1.3. Doubling is usually excessive outside of toy examples.
Keep a strict cap. Many users cap between 20 and 40 percent of equity per leg.
Stress test with different start dates and subperiods. Long flat or trending regimes are where martingale weaknesses appear.
Compare to an anti-martingale (increase after wins, cut after losses) to understand the other side of the trade-off.
If you deploy sizing live, add external guardrails such as a daily loss cut, volatility filters, and a global max drawdown stop.
Settings recap
Backtest start date and initial capital
Initial allocation, increase-after-loss factor, max allocation cap
Signal source selector
Trading days per year and risk-free rate
Benchmark symbol for Alpha and Beta
UI toggles for equity, buy and hold, labels, metrics, PnL, and drawdown
Monte Carlo controls for enable, runs, horizon, and result table
Final thoughts
A martingale is not a free lunch. It is a way to tilt capital allocation toward losing streaks. If the signal has a real edge and mean reversion is common, careful and capped escalation can reduce time-to-recovery. If the signal lacks edge or regimes shift, the same rule can magnify losses at the worst possible moment. This simulator makes those trade-offs visible so you can calibrate parameters, understand tail risk, and decide whether the approach belongs anywhere in your research workflow.
ADX Tide ZonesADX Tide Zones – Adaptive Momentum & Trend Strength Framework
Overview
ADX Tide Zones – Professional is a dynamic trend-strength visualizer designed for traders who want to interpret momentum with precision and context. By combining the Average Directional Index (ADX) with adaptive threshold logic, the indicator segments price action into distinct “tide zones” that reflect varying levels of market strength: Calm, Rising, Strong, and Falling Tides. These zones transform raw ADX readings into an interpretable framework that highlights when markets are consolidating, building momentum, trending strongly, or losing strength.
Unlike standard ADX readings, which can be difficult to interpret in real time, ADX Tide Zones translate momentum shifts into a continuous, color-coded system that traders can instantly read. Whether applied to scalping, intraday, or swing trading, the indicator offers a consistent methodology for identifying actionable opportunities across assets and timeframes.
How It Works
The foundation of ADX Tide Zones lies in momentum analysis via the ADX. By measuring the strength (not direction) of a trend, ADX provides an objective read on when markets are gaining or losing energy. ADX Tide Zones enhances this by applying threshold logic to classify ADX values into four distinct states:
Calm Tide : Low ADX values indicate sideways or consolidating conditions.
Rising Tide : ADX increases past a threshold, signaling momentum building.
Strong Tide : ADX remains elevated, confirming robust and sustained trend strength.
Falling Tide : ADX declines after strength, hinting at exhaustion or early reversal setups.
These states are displayed on the chart through adaptive visualizations (zones, bar colors, or overlays), offering real-time clarity on when to expect expansion, continuation, or contraction in price action.
Interpretation
Trend Analysis : By mapping transitions between tides, traders can instantly gauge whether markets are in accumulation, expansion, or exhaustion phases. Rising/Strong Tides reinforce trend continuation, while Falling Tides highlight weakening conditions.
Volatility & Risk Assessment : Shifts between Calm → Rising Tide often precede volatility expansions. Falling Tides can signal a period of compression or corrective moves, warning traders to manage risk proactively.
Market Context : The indicator does not dictate direction; instead, it overlays strength on top of price action, allowing traders to combine it with directional tools such as moving averages, order blocks, or liquidity zones for confirmation.
Strategy Integration
ADX Tide Zones adapts seamlessly to a wide range of trading strategies by translating momentum dynamics into actionable frameworks:
Trend Following : Traders can align with dominant flows by entering positions when the indicator confirms a Rising Tide or Strong Tide. These conditions signal persistent directional strength, making them ideal for continuation setups. Combining directional bias with ADX confirmation reduces the risk of trading against prevailing momentum.
Breakout Trading : When the market transitions from Calm Tide into a Rising Tide, it often precedes a volatility expansion. This shift highlights breakout conditions where accumulation gives way to impulsive price movement. Traders can use this transition as a timing tool to catch early entries into new momentum phases.
Exhaustion Reversals : Strong Tide phases don’t last forever—when they begin to fade into Falling Tide, it can mark trend fatigue or liquidity exhaustion. This offers contrarian traders an early edge in spotting overextended moves and positioning for corrective pullbacks or full reversals.
Multi-Timeframe Analysis : By overlaying higher timeframe tide zones on intraday or scalping charts, traders can filter noise and trade in alignment with larger flows. For example, combining a daily Rising Tide bias with a 15-minute breakout confirmation can significantly improve entry precision while reducing exposure to false signals.
Advanced Techniques
For traders seeking an extra edge, ADX Tide Zones can be pushed further with advanced methods:
Volume & Liquidity Confirmation : Pair the tide transitions with volume spikes, order flow, or liquidity sweep tools. When directional strength confirmed by the ADX coincides with institutional activity, it validates setups and increases probability of follow-through.
Cross-Asset Synchronization : Momentum rarely exists in isolation. Monitoring tide shifts across correlated instruments (e.g., majors vs. USD, or indices vs. risk assets) can uncover synchronized volatility events. These correlations help traders identify whether a move is isolated noise or part of a broader systemic trend.
Threshold Optimization : The sensitivity of ADX Tide Zones can be fine-tuned for different trading objectives. Lower thresholds heighten responsiveness, capturing micro-moves suitable for scalpers. Higher thresholds filter minor fluctuations, isolating major structural swings that align with swing or position trading.
Contextual Trade Management : Instead of using static stops or targets, traders can adapt risk management dynamically by tracking tide progression. For example, a trade initiated during Rising Tide may remain valid as long as conditions sustain, but partial profits or tighter stops can be applied once the zone shifts to Calm Tide.
Inputs & Customization
ADX Length : Define the lookback period for ADX calculation.
Threshold Levels : Adjust sensitivity for Calm, Rising, Strong, and Falling Tides.
Zone Visualization : Choose between bar coloring, background shading, or overlays.
Color Customization : Configure bullish, bearish, neutral, and tide-specific colors.
Multi-Timeframe Options : Enable tide readings from higher timeframes for confirmation.
Why Use ADX Tide Zones
ADX Tide Zones turns the complexity of momentum analysis into a visual system that highlights when markets are gearing up for moves, trending with conviction, or running out of steam. By combining adaptive ADX interpretation with customizable thresholds, traders can:
Anticipate breakouts before volatility expands.
Confirm the strength behind price trends.
Spot exhaustion phases early to secure profits or prepare for reversals.
Adapt strategies seamlessly between scalping, intraday, and swing trading.
With its balance of simplicity and depth, ADX Tide Zones provides a structured lens for reading market momentum, equipping traders with the clarity needed to execute with discipline and confidence.
Trading IVBDiscover the power of precision with Trading Sessions IVB – Multi Sessioni, the ultimate intraday tool for session analysis and automatic target generation. Instead of manually calculating levels, this indicator instantly transforms each trading session into a clear, structured framework on your chart.
As soon as a session begins, a dynamic box highlights its price range in real time. From that simple box, the indicator automatically creates high-probability targets: percentage levels at ±0.5% and ±0.61% to capture quick intraday moves, and projection levels at one and two times the session’s range to anticipate powerful breakouts. These targets appear instantly and update live, giving you predefined levels to trade around without the guesswork.
Whether you focus on London, New York, or any custom session, the indicator adapts to your setup, extending ranges to your chosen cutoff time and showing only the most recent sessions you care about. With its clean visual design and automated target generation, you’ll always know where price is most likely to react, retrace, or expand.
Stop wasting time on manual calculations and start trading with a tool that does the heavy lifting for you. Trading Sessions IVB – Multi Sessioni turns raw market sessions into ready-to-use trading levels, helping you trade with more clarity, speed, and confidence.
Alpha -> PROFABIGHI CAPITAL🌟 Overview
The Alpha → PROFABIGHI CAPITAL indicator calculates the excess return performance of any asset relative to a chosen benchmark using beta coefficient analysis and risk-adjusted return measurement . It combines covariance calculation, variance analysis, and return averaging across (Asset Returns, Benchmark Returns, Beta Coefficient) with rolling window calculations. The indicator features automated alpha generation detection through statistical correlation analysis and zero-division protection for reliable performance measurement.
⚙️ General Settings
– Lookback Period : Number of bars for calculating rolling statistics and correlations (1-500 bars, default: 30).
– Benchmark Symbol : Reference market index for comparison (default: CRYPTO:BTCUSD).
– Overlay Setting : False - displays as separate pane oscillator for clear alpha visualization.
📊 Alpha Calculation Components & Methods
The indicator calculates multiple performance metrics using statistical methods:
- Asset Returns : Rate of change calculations for current asset price movements per bar
- Benchmark Returns : Rate of change calculations for benchmark price movements per bar
- Mean Asset Returns : Simple moving average of asset returns over lookback period
- Mean Benchmark Returns : Simple moving average of benchmark returns over lookback period
- Covariance Calculation : Manual computation measuring how asset and benchmark move together
- Benchmark Variance : Manual calculation of benchmark return volatility and dispersion
- Beta Coefficient : Covariance divided by benchmark variance with zero-division protection
- Alpha Calculation : Mean asset returns minus beta multiplied by mean benchmark returns
📈 Advanced Statistical Features
Rolling Window Analysis:
- Dynamic Lookback : All calculations use specified lookback period for current relevance
- Continuous Updates : Statistics recalculated with each new bar for real-time analysis
- Moving Averages : Simple moving average calculations for return smoothing
Security Data Integration:
- Multi-Symbol Processing : Fetches benchmark data using security request function
- Timeframe Matching : Uses current chart timeframe for benchmark data synchronization
- Close Price Focus : Utilizes closing prices for both asset and benchmark calculations
Mathematical Protection:
- Zero-Division Check : Conditional logic prevents division by zero in beta calculation
- NA Value Handling : Returns 'na' when benchmark variance equals zero
- Robust Framework : Maintains functionality when calculations become undefined
📏 Signal Levels & Interpretation
– Positive Alpha (Green) : Asset returns exceed beta-adjusted benchmark performance
– Negative Alpha (Red) : Asset returns fall below beta-adjusted benchmark performance
– Zero Line Reference : Horizontal dashed line marking neutral alpha level
– Alpha Magnitude : Higher absolute values indicate stronger relative performance
– Color-Coded Display : Automatic green/red formatting based on positive/negative values
📋 Mathematical Framework
Core Calculation Process :
- Return Calculation : Rate of change for both asset and benchmark over single periods
- Mean Return Smoothing : Simple moving averages applied to return streams
- Covariance Formula : Average of return products minus product of mean returns
- Variance Formula : Average of squared returns minus squared mean returns
- Beta Derivation : Covariance divided by benchmark variance
- Alpha Formula : Asset mean return minus beta times benchmark mean return
🎨 Visual Features
– Alpha Line Plot : Main alpha visualization with 2-pixel line thickness
– Conditional Coloring : Green for positive alpha, red for negative alpha values
– Enhanced Visibility : Thick line format for clear trend identification
– Zero Reference Line : Gray dashed horizontal line at zero level
– Separate Display Pane : Independent oscillator panel below price chart
🔍 Advanced Features
– Real-Time Calculation : Updates automatically with each new price bar
– Manual Statistical Computation : Direct covariance and variance calculations for precision
– Benchmark Flexibility : Any tradable symbol can serve as performance reference
– Error Prevention : Built-in zero-division protection for reliable operation
– Multi-Asset Compatibility : Works across different asset classes and markets
– Rolling Window Methodology : Maintains specified lookback period for all calculations
🔔 Performance Signals
– Alpha Positive Crossover : When alpha value moves above zero line
– Alpha Negative Crossover : When alpha value moves below zero line
– Sustained Alpha Trends : Consistent positive or negative alpha over multiple periods
– Alpha Magnitude Changes : Increasing or decreasing strength of relative performance
– Beta-Adjusted Comparison : Performance measurement accounting for systematic risk correlation
By utilizing rolling statistical calculations and beta-adjusted return analysis , the Alpha → PROFABIGHI CAPITAL indicator provides mathematically sound relative performance measurement , offering accurate identification of excess return generation through systematic covariance and variance analysis with comprehensive zero-division protection .
Options Greeks AnalyzerOptions Greeks Analyzer (Training & Learning Guide)
________________________________________
1. Introduction
Options trading is advanced compared to regular stock trading, and one of the most important aspects is Options Greeks. Greeks are mathematical values that measure how the price of an option will react to changes in various factors such as the underlying asset’s price, volatility, interest rates, and time to expiry.
This Options Greeks Analyzer tool is built using TradingView Pine Script v5. It serves as a real time training and analysis dashboard that helps learners visualize how options greeks behave, how option prices change, and how traders can make informed decisions.
📌 Educational Disclaimer:
This tool is only for training and learning purposes. It is not a financial advice tool nor to be used for live trading decisions. The data shown is theoretical Black Scholes model calculations, which may differ from actual option market prices.
________________________________________
2. How the Tool Works
The Options Greeks Analyzer is divided into different modules. Below is a step by step walkthrough:
________________________________________
Step 1: User Inputs
• Implied Volatility (IV%) — You can manually enter volatility, which is the most important factor in option pricing. Higher IV = higher option premium.
• Expiry Selection — Choose from preset durations like 7D, 14D, 30D etc. Days to expiry directly affect time decay (Theta).
• Strike Price Mode — You can select either:
o ATM (At-the-Money = Current price of stock/index)
o Custom strike (Enter your own strike price)
• Risk-Free Rate (%) — A small interest rate factor (like government bond yield) used for theoretical valuation.
• Table Customization — Choose table size, position, and whether to show price lines for easy visibility.
________________________________________
Step 2: Market Data & Volatility
• The tool takes the current market price (Spot Price) as input.
• It calculates realized volatility from historical price fluctuations (using past 30 bars/log returns).
• Implied Volatility (manual input) is then compared to realized vol:
o If IV > Historical Volatility → Market pricing is “expensive” (HIGH IV RANK).
o If IV < Historical Volatility → Market is “cheap” (LOW IV RANK).
o Otherwise, it’s MEDIUM.
📌 Why it matters?
Traders can decide whether buying or selling options is favorable. Beginners learn that timing entry with volatility is more critical than just looking at market direction.
________________________________________
Step 3: Black-Scholes Formula
The core engine uses the Black-Scholes model, a mathematical formula widely used to compute option fair prices.
It uses the following inputs:
• Current price (Spot)
• Strike Price
• Time to Expiry (T)
• Risk Free Rate (r)
• Implied Volatility (σ)
This produces:
• Call Option Price
• Put Option Price
📌 This teaches learners how premiums are derived theoretically and why the same strike can have different values depending on IV and time.
________________________________________
Step 4: Option Greeks Calculation
The tool computes the first order Greeks:
• Delta → Measures how much the option price changes when the underlying stock moves by 1 point.
(Call Delta ranges 0–1, Put Delta ranges -1 to 0).
• Gamma → Sensitivity of Delta to price change. A measure of volatility risk.
• Theta → Time decay. Shows how much value option loses as each day passes. Calls and Puts have negative Theta (decay).
• Vega → Measures how sensitive option price is to volatility changes.
• Rho → Interest rate sensitivity. Mostly minor in equity options but important for training.
📌 New traders learn how each factor impacts profits/losses. Instead of random guessing, they see mathematical impact in numbers.
________________________________________
Step 5: Dashboard & Visualization
The tool builds a professional dashboard table on the chart.
It shows categories such as:
1. Asset Info — Spot, Strike, DTE (days to expiry), IV%, IV Rank, 1-Day Trend, Moneyness (ATM/OTM/ITM).
2. Option Prices — Call, Put, Break-even levels, Time Value, Expected Move (%), Realized vs Implied Vol.
3. Greeks with Visual Progress Bars — Easily shows Delta, Gamma, Vega, Theta, Rho in intuitive graphical representations.
4. Status Bar — Suggests theoretical bias like:
o HIGH IV → Favor Option Selling
o LOW IV → Favor Option Buying
o MEDIUM → Neutral observation
5. Recommendation Line — Offers training-based suggestions like “Buy Straddles”, “Sell Call Spreads”, etc. These are not signals, but scenarios to learn strategies.
________________________________________
3. How It Helps Beginners
1. Learn Greeks in Action:
Beginners often memorize formulas but never see real-time changes. This dashboard updates every bar to show how Greeks change dynamically.
2. Compare Volatilities:
Traders understand difference between historical vs implied volatility and why option premiums behave differently.
3. Understand Risk Levels:
The tool highlights when Gamma risk is high (danger for sellers) or when Theta is most favorable.
4. Training Mode for Strategies:
Helps beginners experiment by changing IV, strike, expiry and seeing how straddles, spreads, naked options would behave theoretically.
5. Prepares Before Live Trading:
Safe environment to practice option analysis without risking capital.
________________________________________
4. Educational Use Cases
• Scenario 1: Change expiry from 7D to 30D — see how Theta becomes slower for longer expiries.
• Scenario 2: Increase IV from 25% to 80% — watch how option premiums inflate, and recommendation changes from “Buy” to “Sell”.
• Scenario 3: Select OTM vs ITM strikes — check how delta moves from near 0 to near 1.
By running these scenarios, learners understand why professional traders hedge Greeks instead of directional gambling.
________________________________________
5. Disclaimer
This Options Greeks Analyzer is built strictly for educational and training purposes.
• It uses theoretical formulas (Black-Scholes) that may not match actual option market prices.
• The recommendations are for learning strategy logic only, not real-world execution signals.
• Trading in options carries significant risks and may result in capital loss.
📌 Always consult with a financial advisor before applying real strategies.
________________________________________
✅ Summary
This Options Greeks Analyzer:
• Teaches how Greeks, IV, and premiums work.
• Provides a real-time interactive dashboard for training.
• Helps beginners practice option scenarios safely.
• Is meant strictly for learning and not live trading execution.
________________________________________
________________________________________
Disclaimer from aiTrendview
This script and its trading signals are provided for training and educational purposes only. They do not constitute financial advice or a guaranteed trading system. Trading involves substantial risk, and there is the potential to lose all invested capital. Users should perform their own analysis and consult with qualified financial professionals before making any trading decisions. aiTrendview disclaims any liability for losses incurred from using this code or trading based on its signals. Use this tool responsibly, and trade only with risk capital.
Cloud FlipCloud Flip Indicator
Overview
The Cloud Flip Indicator is a trend-following technical analysis tool that visualizes market momentum through a dynamic cloud formation between two exponential moving averages (EMAs). It provides clear visual signals for trend direction changes and potential entry/exit points.
Key Features
1. Dynamic Cloud Visualization
Adaptive Cloud: A color-changing cloud that fills the space between fast and slow EMAs
Trend Clarity: Instantly identify bullish and bearish market conditions through color changes
Visual Depth: Optional shadow effects for enhanced chart readability
2. Dual EMA System
Fast EMA: Responsive to recent price movements (default: 20 periods)
Slow EMA: Captures longer-term trend direction (default: 50 periods)
Customizable Periods: Adjust both EMAs to match your trading style
3. Crossover Signals
Bullish Signals: Upward triangle (▲) when fast EMA crosses above slow EMA
Bearish Signals: Downward triangle (▼) when fast EMA crosses below slow EMA
Clear Entry Points: Visual markers appear directly on the chart at crossover points
4. Alert System
Real-time Notifications: Get alerted when crossovers occur
Customizable Alerts: Choose between bullish, bearish, or both signal types
Price Integration: Alert messages include the exact price at crossover
How It Works
The indicator operates on a simple yet effective principle:
Bullish Trend: When the fast EMA is above the slow EMA, the cloud turns green (customizable), indicating upward momentum
Bearish Trend: When the fast EMA is below the slow EMA, the cloud turns red (customizable), indicating downward momentum
Trend Changes: Crossovers between the EMAs signal potential trend reversals
Customization Options
Period Settings
Fast Period: Controls the responsiveness of the fast-moving average
Lower values (10-25): More sensitive to price changes, suitable for short-term trading
Higher values (25-50): Smoother signals, fewer false positives
Slow Period: Defines the longer-term trend
Typical range (50-200): Higher values for position trading
Lower values (30-50): For swing trading approaches
Visual Settings
Uptrend Color: Customize the bullish trend color
Downtrend Color: Customize the bearish trend color
Shadow Toggle: Enable/disable cloud transparency for cleaner charts
Alert Settings
Enable Alerts: Master switch for all notifications
Alert on Bullish Cross: Receive notifications for upward crossovers
Alert on Bearish Cross: Receive notifications for downward crossovers
Trading Applications
1. Trend Following
Enter long positions when the cloud turns bullish (green)
Enter short positions when the cloud turns bearish (red)
Use the cloud color as a trend filter for other strategies
2. Crossover Trading
Buy signals: When you see the upward triangle (▲)
Sell signals: When you see the downward triangle (▼)
Combine with volume or momentum indicators for confirmation
3. Support and Resistance
The slow EMA often acts as dynamic support in uptrends
The slow EMA often acts as dynamic resistance in downtrends
The cloud itself can act as a support/resistance zone
Best Practices
Multiple Timeframes: Use on multiple timeframes for confluence
Higher timeframes for trend direction
Lower timeframes for entry timing
Risk Management:
Don't rely solely on crossover signals
Use appropriate stop losses below/above the cloud
Consider the overall market context
Optimization:
Backtest different period combinations for your specific market
Adjust settings based on asset volatility
Consider market conditions (trending vs ranging)
Advantages
Clear Visual Signals: No ambiguity in trend direction
Reduced Noise: EMAs smooth out price fluctuations
Versatility: Works across all markets and timeframes
Simplicity: Easy to understand and implement
Limitations
Lagging Indicator: Based on moving averages, signals come after price moves
Whipsaws: Can generate false signals in ranging markets
No Predictive Power: Shows current trend, not future direction
Installation
Add the indicator to your TradingView chart
Adjust the period settings to match your trading style
Customize colors to your preference
Set up alerts if desired
Use in conjunction with your existing trading strategy
VWMA CandlesVWMA Candles – Smarter Candle Coloring with Volume Awareness
This indicator enhances your chart candles by showing their relationship to the Volume-Weighted Moving Average (VWMA). It visually integrates the VWMA and price action, making it easier to spot momentum shifts, value zones, and price interaction with volume-weighted levels. I saw this indicator idea from TrendSpider on threads and decided to try and make my own. This is my first publicly shared script so go easy on me!
IN ORDER FOR THE COLOR CODING TO WORK PROPERLY, YOU MUST:
GO TO -> CHART SETTINGS -> SYMBOLS AND DISABLE BODIES, BORDERS, AND WICKS.
How it works:
The VWMA is plotted on your chart with a customizable band around it.
Candles change color depending on their position relative to the VWMA and its band:
Green → Price is above the VWMA (bullish bias).
Orange → Price is near or touching the VWMA/band (potential reaction zone).
Red → Price is below the VWMA (bearish bias).
You can choose between custom candles (full plotcandle styling) or simply recolor your existing chart candles with barcolor.
Customization options:
Select how the band is calculated: by % of VWMA, ATR multiple, or Ticks/Points.
Adjust colors separately for candle body, wick, and border.
Choose to show/hide the VWMA line and the band fill.
Fine-tune transparency for a clean look on any chart background.
Why traders use it:
Quickly spot when price is stretched away from the VWMA (overextended conditions).
Identify when candles are interacting with the VWMA (potential support/resistance).
Add volume-sensitivity to your trend analysis compared to standard moving averages.
Authors Note: The default settings work well with stocks on the weekly timeframe, although this can be used on any timeframe. The settings are highly adjustable for you to tune it to your liking.
EMA + RSI Daily Bias Clarity Indi📊 EMA + RSI Daily Bias • Clarity Panel
This indicator is built for clarity, structure, and confidence in trading.
It combines EMAs, RSI, and a Daily Bias filter into one panel that helps you quickly understand trend, momentum, and alignment without cluttering your chart.
It does not provide signals or financial advice — instead, it simplifies your decision-making process by presenting conditions in a clear format.
🔧 Features
📈 Customizable EMAs (Fast & Slow)
Define short-term vs. medium-term trend direction.
Adjust the lengths for scalping, intraday, or swing trading.
🎯 RSI Integration
Tracks momentum on your active timeframe.
Highlights overbought (OB) and oversold (OS) conditions.
Used to filter entries and avoid chasing stretched moves.
🧭 Daily Bias (Higher Timeframe RSI)
Pulls RSI from the Daily chart (or chosen HTF).
Helps confirm if your local trade setup is aligned with higher timeframe momentum.
✨ Clarity Panel with Emojis
Displays Trend, HTF Bias, RSI reading, and State.
States include:
⏳ WAIT → No alignment or unclear conditions.
🟢 / 🔴 CONFIRM → Trend, RSI, and bias all align for a setup.
💰 COLLECT → RSI stretched to OB/OS, take partials or be cautious.
⚡ Optional Chart Markers
BUY/SELL labels appear when conditions align.
Alerts can be enabled for CONFIRM and COLLECT conditions.
💡 How to Use
Start with EMAs → Check if price is trending above or below EMAs to determine short-term direction.
Look at Daily Bias → See if RSI bias from higher timeframe (Daily by default) agrees with your local setup.
Check RSI → If RSI is neutral, WAIT. If RSI confirms momentum with trend + bias, CONFIRM. If RSI is stretched into OB/OS, COLLECT.
Use Panel for Quick Reads → The panel gives you a “dashboard” view of conditions so you don’t second-guess.
Combine with Your Own Strategy → This script is best used as a clarity filter to stay disciplined, not as a standalone signal generator.
📊 Example Workflow
Price above both EMAs ✅
Daily Bias shows BULL ✅
RSI at 62 (above midline, not yet overbought) ✅
→ Panel shows 🟢 CONFIRM → consider entering long.
Later, RSI rises to 72 (overbought) → Panel switches to 💰 COLLECT → take profits or tighten stops.
⚠️ Disclaimer
This script is for clarity and educational purposes only.
It does not provide financial advice, signals, or guaranteed profits.
Always use proper risk management and combine with your own trading plan.
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV)
Version: PineScript™v6
📌Description
The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss.
POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously.
The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities.
🚀Points of Innovation
Micro-POC calculation using advanced OHLC-based volume distribution estimation
Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency
Persistence scoring system that quantifies directional consistency over multiple periods
Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts
Dynamic color-coded visualization system with intensity-based feedback
Comprehensive customization options for resolution, periods, and thresholds
🔧Core Components
POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms
Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization
Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration
Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting
Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation
Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships
🔥Key Features
Real-time POC calculation with 10-100 configurable price bands for optimal precision
Velocity tracking with customizable lookback periods from 5 to 50 bars
Acceleration measurement for detecting momentum changes in POC movement
Persistence scoring to validate signal strength and filter false signals
Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions
Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps
Adjustable information table displaying real-time metrics and current signals
Heat ribbon visualization showing price-POC relationship intensity
Multiple threshold settings for customizing signal sensitivity
Export capability for use with separate panel indicators
🎨Visualization
POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude
Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity
Signal Markers: Clear exhaustion top/bottom signals with labeled shapes
Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status
Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions
📖Usage Guidelines
POC Calculation Settings
POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar
Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation
POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise
Velocity Settings
Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity
Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration
Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals
Persistence Settings
Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation
Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals
Visual Settings
Show POC Connecting Lines: Toggle display of colored lines connecting POC levels
Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship
Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon
Alert Settings
Enable Continuation Alerts: Toggle alerts for continuation pattern detection
Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection
Enable POC Gap Alerts: Toggle alerts for significant POC gaps
Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts
✅Best Use Cases
Identifying trend continuation opportunities when POC velocity aligns with price direction
Spotting potential reversal points through exhaustion pattern detection
Confirming breakout validity by monitoring POC gap behavior
Adding volume-based context to traditional technical analysis
Managing position sizing based on POC-price basis strength
⚠️Limitations
POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution
Effectiveness may vary in low-volume or highly volatile market conditions
Requires complementary analysis tools for complete trading decisions
Signal frequency may be lower in ranging markets compared to trending conditions
Performance optimization needed for very short timeframes below 1-minute
💡What Makes This Unique
Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data
Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels
Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator
Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions
Persistence Validation: Unique scoring system to filter signals based on directional consistency
🔬How It Works
Volume Distribution Estimation:
Divides each bar into configurable price bands for volume analysis
Applies sophisticated weighting based on OHLC relationships and proximity to close
Identifies the price level with maximum estimated volume as the POC
Velocity and Acceleration Calculation:
Measures POC rate of change over specified lookback periods
Normalizes values using ATR for consistent cross-market performance
Calculates acceleration as the rate of change of velocity
Signal Generation Process:
Combines trend direction analysis using EMA crossovers
Applies velocity and persistence thresholds to filter signals
Generates continuation, exhaustion, and gap alerts based on specific criteria
💡Note:
This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.
Machine Learning-Inspired Supply & Demand Zones [AlgoPoint]This indicator is a Smart Supply & Demand Zone tool, developed with principles inspired by Machine Learning (ML). It intelligently filters out market noise, allowing you to focus only on the most significant zones where institutional order flow is likely present.
💡 How It Works: Why Is This Indicator "Smart"?
Unlike traditional indicators that only measure simple price movements, this script uses an algorithm that asks the same critical questions an experienced market analyst would to qualify a zone:
- 1. Price Imbalance: How fast and aggressively did the price leave the zone? Our algorithm measures the body size of the "departure candle" relative to the current market volatility (ATR). A zone is only considered if it was formed by an explosive move that is statistically significant, indicating a major imbalance between buyers and sellers.
- 2. Volume Confirmation: Did the "smart money" participate in this move? The script checks if the volume on the departure candle was significantly higher than the recent average volume. A spike in volume confirms that the move was backed by institutional interest, adding strength and validity to the zone.
- 3. Valid Pivot Structure: Did the zone originate from a meaningful swing high or low? The algorithm first identifies a valid pivot structure, ensuring that zones are not drawn from insignificant or random price fluctuations.
Only when a potential zone passes these three critical tests—our "quality filter"—is it drawn on your chart.
🚀 Features & How to Use
Using the indicator is straightforward. You will see two primary types of boxes on your chart:
* 🟥 Red Box (Supply Zone): An area of potential resistance where selling pressure is likely to be strong. Look for potential shorting opportunities as the price approaches this zone.
* 🟩 Green Box (Demand Zone): An area of potential support where buying pressure is likely to be strong. Look for potential long opportunities as the price pulls back into this zone.
Dynamic Zone Management
This indicator is not static; it lives and breathes with the market:
- Fresh Zone: A newly formed zone appears in its full, vibrant color. These are the highest-probability zones as they have not yet been re-tested.
- Broken / Flipped Zone: You have full control over what happens when a zone is broken! In the settings, you can choose:
- Delete Zone: The zone will be removed completely when the price closes through it.
- Show as Broken (Flip): When broken, the zone will turn gray, stop extending, and remain on your chart. This is extremely useful for identifying Support/Resistance Flips, where a broken demand zone becomes new resistance, or a broken supply zone becomes new support.
⚙️ Settings & Customization
Fine-tune the indicator to match your personal trading style via the settings menu:
- Breakout Behavior: The most powerful feature. Choose between Delete Zone and Show as Broken (Flip) to customize your chart.
- Zone Finding Logic: Control the indicator's sensitivity.
- Selective: Requires both strong imbalance and high volume. Finds fewer, but higher-quality, zones.
- Moderate: Requires either strong imbalance or high volume. Finds more potential zones.
- Sensitivity Settings: Adjust the ATR Multiplier and Volume Multiplier to make the criteria for a "strong" zone stricter or looser.
BE-Fib Channel 2 Sided Trading█ Overview:
"BE-Fib Channel 2 Sided Trading" indicator is built with the thought of 2 profound setups named "Cup & Handle (C&H)" and "Fibonacci Channel Trading (FCT)" with the context of "day trading" or with a minimum holding period.
█ Similarities, Day Trading Context & Error Patterns:
While the known fact is that both C&H and FCT provide setups with lesser risk with bigger returns, they both share the similar "Base Pattern".
Note: Inverse of the above Image shall switch the setups between long vs short.
Since the indicator is designed for smaller time-frame candles, there may be instances where the "base pattern" does not visually resemble a Cup & Handle (C&H) pattern. However, patterns are validated using pivot points. The points labeled "A" and "C" can be equal or slightly slanted. Settings of the Indicator allows traders a flexibility to control the angle of these points to spot the strategies according to set conditions. Therefore, understanding the nuances of these patterns is crucial for effective decision-making.
█ 2 Sided Edge: FCT suggests to take trade closer to the yellow line to get better RR ratio. this leaves a small chance of doubt as to; what if price is intended to break the Yellow line thereby activating the C&H.
Wait for the confirmation is a Big FOMO with a compromised RR.
Hence, This indicator is designed to handle both the patterns based on the strength, FIFO and pattern occurring delay.
█ How to Use this Indicator:
Step 1: Enable the Show Sample Sensitivity option to understand the angle of yellow line shown in the sample image. By enabling this option, On the last bar you shall see 4 lines being plotted depicting the max angle which is acceptable for both long and short trades.
Note: Angle can be controlled via setting "Sensitivity".
Higher Sensitivity --> Higher Setup identification --> can lead to failed setups due to 2 sided trading.
Lower Sensitivity --> Lower Setup identification --> can increase the changes of being right.
Step 2: Adjust the look back & look forward periods which shall be used for identifying patterns.
Note: Smaller values can lead to more setups being identified but can hamper the performance of the indicator while increasing the chances of failures. larger values identifies more significant setup but leads to more waiting period thereby compromising on the RR.
Step 3: Adjust the Base Range.
Note: Smaller values can lead to more setups being identified but can hamper the performance of the indicator while increasing the chances of failures. larger values identifies more significant setup but leads to more Risk on play.
Step 4: set the Entry level for FCT & Set the SL for Both FCT & C&H and Target Reward ratio for C&H.
█ Features of Indicator & How it works:
1. Patterns are being identified using Pivot Points method.
2. Tracks & validates both the setups simultaneously on every candle and traded one at a time based on FIFO, New setups found in-between, Defined Entry Levels while on wait for the other pattern to get activated.
3. Alerts added for trade events.
4. FCT setups are generally traded with trailed SL level and increasing Target level on every completed bar. while C&H has the standard SL & TP level with no Trail SL option.
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur. Please invest wisely.
Happy to receive suggestions and feedback in order to improve the performance of the indicator better.
Universal Trend+ [BackQuant]Universal Trend+
This indicator blends several well-known technical ideas into a single composite trend and momentum model. It can be show primarily as an overlay or a oscillator:
In which it produces two things:
a composite oscillator that summarizes multiple signals into one normalized score
a regime signal rendered on the chart as a colored ribbon with optional 𝕃 and 𝕊 markers
The goal is to simplify decision-making by having multiple, diverse measurements vote in a consistent framework, rather than relying on any single indicator in isolation.
What it does
Computes five independent components, each reading a different aspect of price behavior
Converts each component into a standardized bullish / neutral / bearish vote
Averages the available votes to a composite score
Compares that score to user thresholds to label the environment bullish, neutral, or bearish
Colors a fast/slow moving-average ribbon by the current regime, optionally paints candles, and can plot the composite oscillator in a lower pane
The five components (conceptual)
1)RSI Momentum Bias
A classic momentum gauge on a selectable source and lookback. The component emphasizes whether conditions are persistently strong or weak and applies a neutral buffer to avoid reacting to trivial moves. Output is expressed as a vote: bullish, neutral, or bearish.
2) Rate-of-Change Impulse
A smoothed rate-of-change that focuses on short bursts in acceleration. It is used to detect impulsive pushes rather than slow drift. Extreme readings cast a directional vote, mid-range readings abstain.
3) EMA Oscillator
A slope-style trend gauge formed by contrasting a fast and a slow EMA on a chosen source, normalized so that the sign and relative magnitude matter more than absolute price. A small dead-zone reduces whipsaws.
4) T3-Based Normalized Oscillator
A T3 smoother is transformed into a bounded oscillator via rolling normalization, then optionally smoothed by a user-selectable MA. This highlights directional drift while keeping scale consistent across symbols and regimes.
5) DEMA + ATR Bands State
A double-EMA core is wrapped in adaptive ATR bands to create a stepping state that reacts when pressure exceeds a volatility envelope. The component contributes an event-style vote on meaningful shifts.
Each component is designed to measure something different: trend slope, momentum impulse, normalized drift, and volatility-aware pressure. Their diversity is the point.
Composite scoring model
Standardization: Each component is mapped to -1 (bearish), 0 (neutral), or +1 (bullish) using bands and guards to cut noise.
Aggregation: The composite score is the average of the available votes. If a component is inactive on a bar, the composite uses the votes that are present.
Decision layer: Two user thresholds define your action bands.
Above the upper band → bullish regime
Below the lower band → bearish regime
Between the bands → neutral
This separation between measurement, aggregation, and decision avoids over-fitting any single threshold and makes the tool adaptable across assets and timeframes.
Plots and UI
Composite oscillator (optional lower pane): A normalized line that trends between bearish and bullish zones with user thresholds drawn for context.
Signal ribbon (on price): A fast/slow MA pair tinted by the current regime to give an at-a-glance market state.
Markers: Optional 𝕃 and 𝕊 labels when the regime flips.
Candle painting and background tint: Optional visual reinforcement of state.
Color and style controls: User inputs for long/short colors, threshold line color, and visibility toggles.
How it can be used
1) Regime filter
Use the composite regime to define bias. Trade only long in a bullish regime, only short in a bearish regime, and stand aside or scale down in neutral. This simple filter often reduces whipsaw.
2) Confirmation layer
Keep your entry method the same (breaks, pullbacks, liquidity sweeps, order-flow cues) but require agreement from the composite regime or a fresh flip in the 𝕃/𝕊 markers.
3) Momentum breakouts
Look for the composite oscillator to leave neutrality while the EMA oscillator is already positive and the ATR-band state has flipped. Confluence across components is the intent.
4) Pullback entries within trend
In a bullish regime, consider entries on shallow composite dips that recover before breaching the lower band. Reverse the logic in a bearish regime.
5) Exits and risk
Common choices are:
reduce on a return to neutral,
exit on an opposite regime flip, or
trail behind your own stop model (ATR, structure, session levels) while using the ribbon for context.
6) Multi-timeframe workflow
Select a higher timeframe for bias with this indicator, and time executions on a lower timeframe. The indicator itself stays on a single chart; you can load a second chart or pane if you prefer a strict top-down process.
Strengths
Diversified evidence: Five independent perspectives keep the model from hinging on one idea.
Noise control: Neutral buffers and a composite layer reduce reaction to minor wiggles.
Clarity: A single oscillator and a clearly colored ribbon present a complex assessment in a simple form.
Adaptable: Thresholds and lookbacks let you tune for faster or slower markets.
Practical tuning
Thresholds: Wider bands produce fewer regime flips and longer holds. Narrower bands increase sensitivity.
Lookbacks: Shorter lookbacks emphasize recent action; longer lookbacks emphasize stability.
T3 normalization window and volume factor: Increase the window to suppress noise on choppy symbols; tweak the factor to adjust the smoother’s response.
ATR factor for the band state: Raise it to demand more decisive pressure before registering a shift; lower it to respond earlier.
Alerts
Built-in alerts trigger when the regime flips long or short. If you prefer confirmed signals, set your alerts to bar close on your timeframe. Intrabar the composite can move with price; bar-close confirmation stabilizes behavior.
Limitations
Sideways markets: Even with buffers, any trend model can chop in range-bound conditions.
Lag vs sensitivity trade-off: Tighter thresholds react faster but flip more often; wider thresholds are steadier but later.
Asset specificity: Volatility regimes differ. Expect to retune ATR and normalization settings when switching symbols or timeframes.
Final Remarks
Universal Trend+ is meant to act like a disciplined voting committee. Each component contributes a different angle on the same underlying question: is the market pressing up, pressing down, or doing neither with conviction. By standardizing and aggregating those views, you get a single regime read that plays well with many entry styles and risk frameworks, while keeping the heavy math under the hood.
Unfilled ImbalancesUNFILLED IMBALANCES TRACKER - IDENTIFY HIGH-PROBABILITY REVERSAL ZONES
This advanced indicator automatically detects and tracks unfilled price imbalances (Fair Value Gaps/FVGs) between candle bodies, providing traders with crucial levels where price is likely to return.
METHODOLOGY
This indicator employs an approach to imbalance detection that differs from standard FVG indicators:
1. Body-to-Body Gap Detection: Unlike typical FVG indicators that use wicks, this system exclusively tracks gaps between candle bodies, filtering out noise and focusing on the most significant price inefficiencies.
2. Dynamic Partial Fill Tracking: Our unique algorithm continuously monitors and adjusts imbalance zones as they're partially filled, showing exactly how much of each gap remains unfilled in real-time. This feature helps traders identify the strongest remaining levels.
3. Dual Fill Detection Logic: Proprietary fill detection offers two distinct modes - Distal (gap filled when touched) and Through (requires complete price movement through the entire gap), allowing adaptation to different market behaviors.
KEY FEATURES
Real-Time Imbalance Detection
Identifies body-to-body gaps between consecutive candles
Tracks both bullish and bearish imbalances
Automatically removes filled imbalances from the chart
Advanced Fill Detection Modes
Distal Mode: Imbalance considered filled when price touches the near edge
Through Mode: Requires price to completely trade through the gap
Body Fill Option: Requires candle body (not just wick) to enter the gap zone
Partial Fill Visualization
Watch imbalances shrink in real-time as price partially fills them
Visual representation shows exact percentage of gap remaining
Critical for position sizing and risk management
Flexible Display Options
Full Box Mode: Shows complete imbalance zones
Line Mode: Displays only critical edge levels for cleaner charts
Customizable visual parameters (colors, transparency, line thickness)
Smart Extension Features
Auto-extends visual elements to current price bar
Optional extension into future (0-500 bars)
Statistics table showing active imbalances count and fill rates
TRADING METHODOLOGY
Unfilled imbalances represent areas where price moved too quickly, leaving behind inefficiencies that markets tend to revisit. This indicator helps identify:
High-probability entry zones for trend continuation trades
Logical take profit targets at unfilled gaps
Stop loss placement beyond strong imbalance zones
Market structure breaks when key imbalances are filled
Supply and demand zone identification
HOW TO USE
Apply the indicator to any timeframe (works best on 15m and above)
Configure fill detection mode based on your trading style
Watch for price approaching unfilled imbalance zones
Use partial fill information to gauge zone strength
Combine with your existing strategy for confirmation
TARGET AUDIENCE & BEST PRACTICES
This tool is designed for traders who understand price action and market structure. It works best on:
Liquid instruments with consistent volume
Trending markets where imbalances are more likely to be revisited
Higher timeframes for more reliable signals
LIMITATIONS & CONSIDERATIONS
Imbalances may not always be filled, especially in strong trending markets
Performance varies across different market conditions and instruments
Should be used in conjunction with other analysis methods, not as a standalone system
Gap detection is based on candle closes and may miss intrabar movements
Historical imbalances from many bars ago may lose relevance
SETTINGS EXPLANATION
The indicator includes multiple customization options:
Require Body Fill: Controls whether wicks or bodies must enter gaps
Fill Detection Mode: Choose between Distal or Through modes
Visual Display: Select between boxes or lines
Alert Configuration: Set minimum age before fill alerts trigger
Debug Mode: Learn how the algorithm works with visual feedback
This indicator represents months of research into price inefficiency patterns and provides a systematic approach to identifying and tracking these critical market levels.
Note: Works on all timeframes and markets. Best results on liquid instruments with consistent volume patterns.
Muzyorae - ICT Quarter Cycle (Once)ICT Quarterly Theory — 06:00 to 12:00 (NY) Micro-Quarters
This tool focuses on the 06:00–12:00 New York time window and subdivides it into four equal “micro-quarters,” each 90 minutes long. In many ICT layouts this block is treated as a single higher-level quarter; here we break it into a finer structure to help you frame intraday narratives, liquidity runs, and session shifts with consistent time anchors.
How it’s partitioned
q1: 06:00 → 07:30 (NY)
q2: 07:30 → 09:00 (NY)
q3: 09:00 → 10:30 (NY)
q4: 10:30 → 12:00 (NY)
Each boundary is plotted at the exact start time, so you can see where one 90-minute cycle ends and the next begins. Labels can be placed above or below price, and colors/styles are configurable to match your chart.
Why it’s useful
Provides fixed time scaffolding for building AM session bias, execution windows, and narrative transitions.
Helps distinguish pre-cash open, cash open, and late-AM distribution/accumulation phases without guessing.
Standardizes replay and journaling: the same 90-minute checkpoints every day.
Key features
NY-time anchored (handles DST automatically through TradingView’s exchange time).
Four precise 90-minute segments inside the 06:00–12:00 block.
Customizable line styles, colors, and label placement (above/below).
Optional visibility controls to keep charts clean.
Note: Some ICT mappings name the 06:00–12:00 block differently (e.g., Q2 vs. Q3). This indicator uses the same time bounds regardless of the label you prefer; you can rename the macro label in settings if desired.
Disclaimer: Time framing does not guarantee outcomes. Use alongside your own analysis, risk management, and execution plan.
Muzyorae - ICT Quarterly Theory (Intraday)ICT Quarterly Theory — Intraday
What it is
ICT’s Quarterly Theory models the intraday session as repeating cycles of four “quarters.” On NY time, a trading day is split into four macro quarters of 6 hours each:
Q1: 00:00–06:00 NY (Asia / pre-London)
Q2: 06:00–12:00 NY (London–NY overlap, AM session)
Q3: 12:00–18:00 NY (Midday / PM session)
Q4: 18:00–24:00 NY (Asia re-open / late session)
Each macro quarter can be further subdivided into micro quarters of 90 minutes (q1–q4). This fractal view helps traders frame accumulation → expansion → distribution → liquidation phases and align executions with time-of-day liquidity.
Why it matters
Orderflow, liquidity raids, and displacement are highly time-dependent. Marking the quarters makes it easier to:
Anticipate when the market is likely to deliver the day’s expansion (often Q2) versus retracement/distribution (often Q3) or late liquidity runs (often Q4).
Compare today’s behavior to prior days within the same quarter windows.
Anchor bias, entries, and risk management to session-specific highs/lows rather than arbitrary clock times.
What this indicator shows
Macro quarters (6h): Vertical lines and optional labels (Q1–Q4) on NY time.
Micro quarters (90m): Optional finer verticals inside each macro quarter (q1–q4) for precise timing.
True Open (Q2 AM): Optional line at the AM session’s true open (default 06:00 NY) to study premium/discount development from the intraday benchmark.
Futures Sunday handling: Optional treatment of Sunday 18:00 NY as Q4 (useful for FX/futures).
Label controls: Choose above/below placement, offset, size, and colors; micro labels can be toggled independently.
Performance-friendly: De-duplicated labels and a look-back “days to show” setting keep charts clean.
How to use
Timeframe: Works on intraday charts (1–60m). 5–15m is a common balance of signal vs. noise.
Bias framing:
Map Asia (Q1), AM expansion (Q2), midday distribution (Q3), late session runs (Q4).
Compare where the daily range forms versus the True Open to gauge premium/discount and likely continuations.
Execution: Look for standard ICT tools (liquidity sweeps, FVGs, displacement, PD arrays) inside the active quarter to avoid fighting time-of-day flow.
Review: Scroll back multiple days and evaluate where the day’s high/low typically forms relative to Q2–Q3; adapt expectations.
Settings (high level)
Show Macro Labels / Micro Lines / Micro Labels
Label position (above/below), X-shift, colors, sizes
Days to show, de-dup window (prevents label overlaps)
Q2 True Open toggle and extension (doesn't work)
Include Sunday as Q4 (18:00 NY)
Notes
Quarter boundaries are fixed to America/New York session logic to match ICT timing.
This is a context tool; it does not generate buy/sell signals. Combine with your existing execution model.
Past behavior does not guarantee future results. Use proper risk management.
Goldbach Time IndicatorA simple, time-only study that highlights “Goldbach minutes”—bars where any of three time transforms hit a curated integer set. It’s designed for timing research, session rhythm analysis, and building time-of-day confluence with your own strategy.
What it shows
Three time transforms (per bar, using your UTC offset):
Minute (Raw) → the current minute mm (yellow)
Min+Hr → mm + hh with a smart 60→00 rule & capped to 77 (lime)
Min−Hr → mm − hh (only if ≥ 0) (orange)
A minute is flagged when a transform equals a value in the script’s Goldbach set:
0, 3, 7, 11, 14, 17, 23, 29, 35, 41, 44, 47, 50, 53, 56, 59, 65, 71, 77
Background tint whenever there is ≥1 hit on the bar.
Goldbach Count histogram (0–3) showing how many of the three transforms hit.
Reference lines at common values (0, 11, 23, 35, 47, 59).
Live info table (bottom-right): current time (with offset), each transform’s value, and hit status.
Optional crosshair pane label showing time and “Goldbach: YES/NO”.
“00” guardrails (fewer false pings)
Zeros are plotted only when they’re time-valid:
1- Full hour: raw minute is 00
2- Equal pair: mm == hh > 0 so mm−hh = 0
3- Sum=60: mm + hh == 60 so Min+Hr becomes 00
Inputs
UTC Offset (−12…+14): shifts the evaluation clock.
Show Pane Label: on-chart crosshair label (optional).
Show All Plot Lines: plot everything (incl. tiny values 0–3) or, when OFF, show only “meaningful” hits (≥4) plus the strictly-validated 00 cases.
How to use it
Add as a separate pane (overlay=false).
Choose your UTC offset so the indicator matches your session clock.
Look for clusters (Goldbach Count 2–3) and compare with your own trade triggers, session opens, or news windows.
Treat this as timing confluence, not a buy/sell signal.
Notes
Purely time-derived (no price inputs). It doesn’t look ahead; values can update on the live bar as time advances.
The Min+Hr track can exceed 59; it’s capped at 77 to fit the set.
No alerts are included by design; pair it with your strategy’s alerts if needed.
Short description:
Highlights bars where mm, mm+hh, or mm−hh land in a curated “Goldbach” set, with strict 00 rules, UTC offset, count histogram, and a live info table—useful for time-of-day confluence research.
Support and Resistance levels from Options DataINTRODUCTION
This script is designed to visualize key support and resistance levels derived from options data on TradingView charts. It overlays lines, labels, and boxes to highlight levels such as Put Walls (gamma support), Call Walls (gamma resistance), Gamma Flip points, Vanna levels, and more.
These levels are intended to help traders identify potential areas of price magnetism, reversal, or breakout based on options market dynamics. All calculations and visualizations are based on user-provided data pasted into the input field, as Pine Script cannot directly fetch external options data due to platform limitations (explained below).
For convenience, my website allows users to interact with a bot that will generate the string for up to 30 tickers at once getting nearly real-time data on demand (data is cached for 15min). With the output string pasted into this indicator, it's a bliss to shuffle through your portfolio and see those levels for each ticker.
The script is open-source under TradingView's terms, allowing users to study, modify, and improve it. It draws inspiration from common options-derived metrics like gamma exposure and vanna, which are widely discussed in financial literature. No external code is copied without rights; all logic is original or based on standard mathematical formulas.
How the Options Levels Are Calculated
The levels displayed by this script are not computed within Pine Script itself—instead, they rely on pre-calculated values provided by the user (via a pasted data string). These values are derived from options chain data fetched from financial APIs (e.g., using libraries like yfinance in Python). Here's a step-by-step overview of how these levels are generally calculated externally before being input into the script:
Fetching Options Data:
Historical and current options chain data for a ticker (e.g., strikes, open interest, volume, implied volatility, expirations) is retrieved for near-term expirations (e.g., up to 90 days).
Current stock price is obtained from recent history.
Gamma Support (Put Wall) and Resistance (Call Wall):
Gamma Calculation: For each option, gamma (the rate of change of delta) is computed using the Black-Scholes formula:
gamma = N'(d1) / (S * sigma * sqrt(T))
where S is the stock price, K is the strike, T is time to expiration (in years), sigma is implied volatility, r is the risk-free rate (e.g., 0.0445), and N'(d1) is the normal probability density function.
Weighted gamma is multiplied by open interest and aggregated by strike.
The Put Wall is the strike below the current price with the highest weighted gamma from puts (acting as support).
The Call Wall is the strike above the current price with the highest weighted gamma from calls (acting as resistance).
Short-term versions focus on strikes closer to the money (e.g., within 10-15% of the price).
Gamma Flip Level:
Net dealer gamma exposure (GEX) is calculated across all strikes:
GEX = sum (gamma * OI * 100 * S^2 * sign * decay)
where sign is +1 for calls/-1 for puts, and decay is 1 / sqrt(T).
The flip point is the price where net GEX changes sign (from positive to negative or vice versa), interpolated between strikes.
Vanna Levels:
Vanna (sensitivity of delta to volatility) is calculated:
vanna = -N'(d1) * d2 / sigma
where d2 = d1 - sigma * sqrt(T).
Weighted by open interest, the highest positive and negative vanna strikes are identified.
Other Levels:
S1/R1: Significant strikes with high combined open interest and volume (80% OI + 20% volume), below/above price for support/resistance.
Implied Move: ATM implied volatility scaled by S * sigma * sqrt(d/365) (e.g., for 7 days).
Call/Put Ratio: Total call contracts divided by put contracts (OI + volume).
IV Percentage: Average ATM implied volatility.
Options Activity Level: Average contracts per unique strike, binned into levels (0-4).
Stop Loss: Dynamically set below the lowest support (e.g., Put Wall, Gamma Flip), adjusted by IV (tighter in low IV).
Fib Target: 1.618 extension from Put Wall to Call Wall range.
Previous day levels are stored for comparison (e.g., to detect Call Wall movement >2.5% for alerts).
Effect as Support and Resistance in Technical Trading
Options levels like gamma walls influence price action due to market maker hedging:
Put Wall (Gamma Support): High put gamma below price creates a "magnet" effect—market makers buy stock as price falls, providing support. Traders might look for bounces here as entry points for longs.
Call Wall (Gamma Resistance): High call gamma above price leads to selling pressure from hedging, acting as resistance. Rejections here could signal trims, sells or even shorts.
Gamma Flip: Where gamma exposure flips sign, often a volatility pivot—crossing it can accelerate moves (bullish above, bearish below).
Vanna Levels: Positive/negative vanna indicate volatility sensitivity; crosses may signal regime shifts.
Implied Move: Shows expected range; prices outside suggest overextension.
S1/R1 and Fib Target: Volume/OI clusters act as classic S/R; Fib extensions project upside targets post-breakout.
In trading, these are not guarantees—combine with TA (e.g., volume, trends). High activity levels imply stronger effects; low CP ratio suggests bearish sentiment. Alerts trigger on proximities/crosses for awareness, not advice.
Limitations of the TradingView Platform for Data Pulling
TradingView's Pine Script is sandboxed for security and performance:
No direct internet access or API calls (e.g., can't fetch yfinance data in-script).
Limited to chart data/symbol info; no real-time options chains.
Inputs are static per load; updates require manual pasting.
Caching isn't persistent across sessions.
This prevents dynamic data pulling, ensuring scripts remain lightweight but requiring external tools for fresh data.
Creative Solution for On-Demand Data Pulling
To overcome these limitations, users can use external tools or scripts (e.g., Python-based) to fetch and compute levels on demand. The tool processes tickers, generates a formatted string (e.g., "TICKER:level1,level2,...;TIMESTAMP:unix;"), and users paste it into the script's input. This keeps data fresh without violating platform rules, as computation happens off-platform. For example, run a local script to query APIs and output the string—adaptable for any ticker.
Script Functionality Breakdown
Inputs: Custom data string (parsed for levels/timestamp); toggles for short-term/previous/Vanna/stop loss; style options (colors, transparency).
Parsing: Extracts levels for the chart symbol; gets timestamp for "updated ago" display.
Drawing: Lines/labels for levels; boxes for gamma zones/implied move; clears old elements on updates.
Info Panel: Top-right summary with metrics (CP ratio, IV, distances, activity); emojis for quick status.
Alerts: Conditions for proximities, crosses, bounces (e.g., 0.5% bounce from Put Wall).
Performance: Uses vars for persistence; efficient for real-time.
This script is educational—test thoroughly. Not financial advice; past performance isn't indicative of future results. Feedback welcome via TradingView comments.
BoomBros LevelsCharts
-Key Support and Resistance levels.
-Short, intermediate and long term structures points
CP Double CrossCakeProfits Double Moving Average Signals
This indicator is a refined double Special Moving Average system with integrated trend confirmation, cooldown suppression, alerts, and visual feedback.
🔹 Core Features
Double Special Moving Averages (Fast & Slow) to identify precise crossovers.
Trend EMA filter (default 800 EMA) to align signals with higher-timeframe trend.
Signal Suppression / Cooldown to avoid back-to-back false signals (user-defined bars).
Long & Sort Labels plotted directly on the chart (Long = Go long, Short = Go Short).
Alerts ready for both bullish and bearish crossover confirmations.
Background Visuals (Toggle) – highlights active cooldown zones with soft green/red shades, easily switched ON/OFF.
🔹 How It Works
A Bullish Signal (Long) fires when the Fast MA crosses above the Slow MA, slope is confirmed, and price is above the trend EMA.
A Bearish Signal (Short) fires when the fast MA crosses below the slow MA, slope is confirmed, and price is below the trend EMA.
After a signal, the indicator enters a cooldown period (number of bars set by the user) where no new signals can appear, helping to reduce noise.
During cooldown, the chart background can be shaded (green for bullish, red for bearish) for quick visual confirmation.
🔹 Inputs
MA Lengths (Slow & Fast)
Trend EMA Length & Source
Bars to Suppress Signals (cooldown)
Background Toggle & Colors
✅ Best used as a confirmation tool for entries/exits alongside broader strategy and risk management.
⚠️ Disclaimer: This script is for educational purposes only and not financial advice.
