Dynamic Ray BandsAbout Dynamic Ray Bands
Dynamic Ray Bands is a volatility-adaptive envelope indicator that adjusts in real time to evolving market conditions. It uses a Double Exponential Moving Average (DEMA) as its central trend reference, with upper and lower bands scaled according to current volatility measured by the Average True Range (ATR).
This creates a dynamic structure that visually frames price action, helping traders identify areas of potential trend continuation, overextension, or mean reversion.
How It Works
🟡 Centerline (DEMA)
The central yellow line is a Double Exponential Moving Average, which offers a smoother, less laggy trend signal than traditional moving averages. It represents the market’s short- to medium-term “equilibrium.”
🔵 Outer Bands
Plotted at:
Upper Band = DEMA + (ATR × outerMultiplier)
Lower Band = DEMA - (ATR × outerMultiplier)
These bands define the extreme bounds of current volatility. When price breaks above or below them, it can signal strong directional momentum or overbought/oversold conditions, depending on context. They're often used as trend breakout zones or to time exits after extended runs.
🟣 Inner Bands
Plotted closer to the DEMA:
Inner Upper = DEMA + (ATR × innerMultiplier)
Inner Lower = DEMA - (ATR × innerMultiplier)
These are preliminary volatility thresholds, offering early cues for potential expansion or reversal. They may be used for scalping, tight stop zones, or pre-breakout positioning.
🔁 Dynamic Width (Bands are Dynamically Adjusted Per Tick)
The width of both inner and outer bands is based on ATR (Average True Range), which is recalculated in real time. This means:
During high volatility, the bands expand, allowing for wider price fluctuations.
During low volatility, the bands contract, tightening range expectations.
Unlike fixed-width channels or standard Bollinger Bands (which use standard deviation), this per-tick adjustment via ATR enables Dynamic Ray Bands to reduce false signals in choppy markets and remain more reactive during trending conditions.
⚙️ Inputs
DMA Length — Period for the central DEMA.
ATR Length — Lookback used for ATR volatility calculations.
Outer Band Multiplier — Controls sensitivity of extreme bands.
Inner Band Multiplier — Controls proximity of inner bands.
Show Inner Bands — Toggle for plotting the inner zone.
🔔 Alerts
Alert conditions are included for:
Price closing above/below the outer bands (trend momentum or overextension)
Price closing above/below the inner bands (early signs of strength/weakness)
🧭 Use Cases
Breakout detection — Catch price continuation beyond the outer bands.
Volatility filtering — Adjust trade logic based on band width.
Mean reversion — Monitor for snapbacks toward the DEMA after price stretches too far.
Trend guidance — Use band slope and price position to confirm direction.
⚠️ Disclaimer
This script is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to trade any specific market or security. Always test indicators thoroughly before using them in live trading.
Educational
True Breakout Pattern [TradingFinder] Breakout Signal Indicator🔵 Introduction
In many market conditions, what initially appears to be a decisive breakout often turns out to be nothing more than a false breakout or fake breakout. Price breaks through a key swing level or an important support and resistance zone, only to quickly return to its previous range.
These failed breakouts, which are often the result of liquidity traps or market manipulation, serve more as a warning sign of structural weakness than confirmation of a new trend.
This indicator is designed around the concept of the fake breakout.
The logic is simple but precise : when price breaks a swing level and returns to that level within a maximum of five candles, the move is considered a false breakout. At this point, a Fibonacci retracement is applied to the recent price swing to evaluate the pullback area.
If price, within ten candles after the return to the breakout level, enters the Fibonacci zone between 0.618 and 1.0, the setup becomes valid for a potential entry. This area is identified as a long entry zone, with the stop loss placed just beyond the 1.0 level and the take profit defined based on the desired risk-to-reward ratio.
By combining accurate detection of false breakouts, analysis of price reaction to swing levels, and alignment with Fibonacci retracement logic, this framework allows traders to identify opportunities often missed by others. In a market where failed breakouts are a common and recurring phenomenon, this indicator aims to transform these traps into measurable trading opportunities.
Long Setup :
Short Setup :
🔵 How to Use
This indicator operates based on the recognition of false breakouts from structural levels in the market, specifically swing levels, and combines that with Fibonacci retracement analysis.
In this strategy, trades are only considered when price returns to the broken level within a defined time window and reacts appropriately inside a predefined Fibonacci range. Depending on the direction of the initial breakout, the system outlines two scenarios for long and short setups.
🟣 Long Setup
In the long setup, price initially breaks below a support level or swing low. If the price returns to the broken level within a maximum of five candles, the move is identified as a fake breakout.
At this stage, a Fibonacci retracement is drawn from the recent high to the low. If price, within ten candles of returning to the level, moves into the 0.618 to 1.0 Fibonacci zone, the conditions for a long entry are met.
The stop loss is placed slightly below the 1.0 level, while the take profit is set based on the trader’s preferred risk-reward ratio. This setup aims to capture deeply discounted entries at low risk, aligned with smart money reversals.
🟣 Short Setup
In the short setup, the price breaks above a resistance level or swing high. If the price returns to that level within five candles, the move is again treated as a false breakout. Fibonacci is then drawn from the recent low to the high to observe the retracement area.
Should price enter the 0.618 to 1.0 Fibonacci range within ten candles of returning, a short entry is considered valid. In this case, the stop loss is placed just above the 1.0 level, and the take profit is adjusted based on the intended risk-reward target. This method allows traders to identify high-probability short setups by focusing on failed breakouts and deep pullbacks.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Valid After Trigger Bars : Limits how many candles after a fake breakout the entry zone remains valid.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert False Breakout : Enables alerts for Breakout.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
A sound understanding of the false breakout phenomenon and its relationship to structural price behavior is essential for technical traders aiming to improve precision and consistency. Many poor trading decisions stem from misinterpreting failed breakouts and entering too early into weak signals.
A structured approach, grounded in the analysis of swing levels and validated through specific price action and timing rules, can turn these misleading moves into valuable trade opportunities.
This indicator, by combining fake breakout detection with time filters and Fibonacci-based retracement zones, helps traders only engage with the market when multiple confirming factors are in alignment. The result is a strategy that emphasizes probability, risk control, and clarity in decision-making, offering a solid edge in navigating today’s volatile markets.
IU Engulfing Candlestick PatternDISCRIPTION
📈 The IU Engulfing Candlestick Pattern indicator spotlights both bullish and bearish engulfing formations in real‑time. It shades each pattern with a transparent box and drops a concise label so you can catch potential reversals at a glance—no clutter, no noise, just the candles that matter.
USER INPUTS :
1. Pattern Recognition Based on = “Both” | “Wicks” | “Body” ( Default Both )
• Both → only highlights candles that satisfy **both** wick‑and‑body engulfing rules
• Wicks → checks full candle range (high‑to‑low)
• Body → checks only the real bodies (open‑to‑close)
2. Show Labels ( Default true )
If ticked then it will show the text as "Bullish Engulfing" or "Bearish Engulfing".
3. Show The Box ( Default true)
if ticked then it will show the green or red boxes.
INDICATOR LOGIC:
🔹 Bullish Engulfing (green box)
– Current bar closes higher than it opens and fully “wraps” the prior bar per your chosen rule.
🔹 Bearish Engulfing (red box)
– Current bar closes lower than it opens and fully “wraps” the prior bar per your chosen rule.
🔸 When a pattern confirms:
1. The script records the local high/low range.
2. Draws a semi‑transparent box spanning the engulfing pair.
3. Prints a compact up/down label exactly at the reaction point.
4. Fires a once‑per‑bar alert (“Bullish Engulfing” / “Bearish Engulfing”) you can route to webhooks or notifications.
WHY IT IS UNIQUE:
✨ Combines classic body‑only engulfing with an optional wick filter, letting traders demand stricter confirmation when markets are noisy.
✨ Box overlays visually segment the engulfed range—clearer than single‑bar markers.
✨ Lightweight: one input, zero repaint, and capped at 500 boxes to keep charts responsive.
✨ Ready‑to‑use alerts—no extra code needed for automation.
HOW USER CAN BENIFIT FROM IT :
- Spot early reversal zones or continuation thrusts without scanning candle by candle.
- Pair the alerts with trading bots, TradingView strategy testers, or mobile push notifications.
- Adapt the strictness (Body vs. Wicks vs. Both) to suit different assets, timeframes, or volatility regimes.
- Use the colored range boxes as dynamic support/resistance references for entries, targets, and stop‑loss placement.
📌 Tip: Test on multiple instruments and timeframes to find the sweet spot that matches your risk profile. This script is for educational purposes—always combine with sound risk management and confirm signals with broader market context.
Disclaimer :
This Video is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
MWA swing high & lowThis indicator identifies and connects significant swing highs and swing lows on the chart using customizable pivot-based logic. It creates a ZigZag-style structure that helps traders visually analyze price action, market structure, and trend direction.
🧠 Key Features:
Detects pivot highs and lows using left/right bar logic.
Plots a ZigZag line connecting swings for easy visual tracking.
Labels each swing as "Swing High" or "Swing Low".
Fully customizable settings: pivot sensitivity, label color/size, and line color.
📈 How to Use:
Use it to spot higher highs/lows or lower highs/lows in trending markets.
Identify structure shifts that may signal trend reversals.
Combine with support/resistance, Fibonacci, or other structure-based tools for confirmation.
Suitable for discretionary or rule-based strategies.
⚠️ Disclaimer:
This script is a visual analysis tool. It does not generate buy/sell signals and does not claim profitability. Past structure patterns do not guarantee future results.
Kelly Optimal Leverage IndicatorThe Kelly Optimal Leverage Indicator mathematically applies Kelly Criterion to determine optimal position sizing based on market conditions.
This indicator helps traders answer the critical question: "How much capital should I allocate to this trade?"
Note that "optimal position sizing" does not equal the position sizing that you should have. The Optima position sizing given by the indicator is based on historical data and cannot predict a crash, in which case, high leverage could be devastating.
Originally developed for gambling scenarios with known probabilities, the Kelly formula has been adapted here for financial markets to dynamically calculate the optimal leverage ratio that maximizes long-term capital growth while managing risk.
Key Features
Kelly Position Sizing: Uses historical returns and volatility to calculate mathematically optimal position sizes
Multiple Risk Profiles: Displays Full Kelly (aggressive), 3/4 Kelly (moderate), 1/2 Kelly (conservative), and 1/4 Kelly (very conservative) leverage levels
Volatility Adjustment: Automatically recommends appropriate Kelly fraction based on current market volatility
Return Smoothing: Option to use log returns and smoothed calculations for more stable signals
Comprehensive Table: Displays key metrics including annualized return, volatility, and recommended exposure levels
How to Use
Interpret the Lines: Each colored line represents a different Kelly fraction (risk tolerance level). When above zero, positive exposure is suggested; when below zero, reduce exposure. Note that this is based on historical returns. I personally like to increase my exposure during market downturns, but this is hard to illustrate in the indicator.
Monitor the Table: The information panel provides precise leverage recommendations and exposure guidance based on current market conditions.
Follow Recommended Position: Use the "Recommended Position" guidance in the table to determine appropriate exposure level.
Select Your Risk Profile: Conservative traders should follow the Half Kelly or Quarter Kelly lines, while more aggressive traders might consider the Three-Quarter or Full Kelly lines.
Adjust with Volatility: During high volatility periods, consider using more conservative Kelly fractions as recommended by the indicator.
Mathematical Foundation
The indicator calculates the optimal leverage (f*) using the formula:
f* = μ/σ²
Where:
μ is the annualized expected return
σ² is the annualized variance of returns
This approach balances potential gains against risk of ruin, offering a scientific framework for position sizing that maximizes long-term growth rate.
Notes
The Full Kelly is theoretically optimal for maximizing long-term growth but can experience significant drawdowns. You should almost never use full kelly.
Most practitioners use fractional Kelly strategies (1/2 or 1/4 Kelly) to reduce volatility while capturing most of the growth benefits
This indicator works best on daily timeframes but can be applied to any timeframe
Negative Kelly values suggest reducing or eliminating market exposure
The indicator should be used as part of a complete trading system, not in isolation
Enjoy the indicator! :)
P.S. If you are really geeky about the Kelly Criterion, I recommend the book The Kelly Capital Growth Investment Criterion by Edward O. Thorp and others.
Crypto Risk-Weighted Allocation SuiteCrypto Risk-Weighted Allocation Suite
This indicator is designed to help users explore dynamic portfolio allocation frameworks for the crypto market. It calculates risk-adjusted allocation weights across major crypto sectors and cash based on multi-factor momentum and volatility signals. Best viewed on INDEX:BTCUSD 1D chart. Other charts and timeframes may give mixed signals and incoherent allocations.
🎯 How It Works
This model systematically evaluates the relative strength of:
BTC Dominance (CRYPTOCAP:BTC.D)
Represents Bitcoin’s share of the total crypto market. Rising dominance typically indicates defensive market phases or BTC-led trends.
ETH/BTC Ratio (BINANCE:ETHBTC)
Gauges Ethereum’s relative performance versus Bitcoin. This provides insight into whether ETH is leading risk appetite.
SOL/BTC Ratio (BINANCE:SOLBTC)
Measures Solana’s performance relative to Bitcoin, capturing mid-cap layer-1 strength.
Total Market Cap excluding BTC and ETH (CRYPTOCAP:TOTAL3ES)
Represents Altcoins as a broad category, reflecting appetite for higher-risk assets.
Each of these series is:
✅ Converted to a momentum slope over a configurable lookback period.
✅ Standardized into Z-scores to normalize changes relative to recent behavior.
✅ Smoothed optionally using a Hull Moving Average for cleaner signals.
✅ Divided by ATR-based volatility to create a risk-weighted score.
✅ Scaled to proportionally allocate exposure, applying user-configured minimum and maximum constraints.
🪙 Dynamic Allocation Logic
All signals are normalized to sum to 100% if fully confident.
An overall confidence factor (based on total signal strength) scales the allocation up or down.
Any residual is allocated to cash (unallocated capital) for conservative exposure.
The script automatically avoids “all-in” bias and prevents negative allocations.
📊 Outputs
The indicator displays:
Market Phase Detection (which asset class is currently leading)
Risk Mode (Risk On, Neutral, Risk Off)
Dynamic Allocations for BTC, ETH, SOL, Alts, and Cash
Optional momentum plots for transparency
🧠 Why This Is Unique
Unlike simple dominance indicators or crossovers, this model:
Integrates multiple cross-asset signals (BTC, ETH, SOL, Alts)
Adjusts exposure proportionally to signal strength
Normalizes by volatility, dynamically scaling risk
Includes configurable constraints to reflect your own risk tolerance
Provides a cash fallback allocation when conviction is low
Is entirely non-repainting and based on daily closing data
⚠️ Disclaimer
This script is provided for educational and informational purposes only.
It is not financial advice and should not be relied upon to make investment decisions.
Past performance does not guarantee future results.
Always consult a qualified financial advisor before acting on any information derived from this tool.
🛠 Recommended Use
As a framework to visualize relative momentum and risk-adjusted allocations
For research and backtesting ideas on portfolio allocation across crypto sectors
To help build your own risk management process
This script is not a turnkey strategy and should be customized to fit your goals.
✅ Enjoy exploring dynamic crypto allocations responsibly!
Custom Daily Session Zones by KoenigseggCustom Daily Session Zones
🟣 Description
This indicator displays customizable trading session time zones as background highlights on your chart, on any timeframe you choose. The inline info tooltip provides the precise start and end times of the three largest market sessions—the US, the EU, and ASIA—for quick reference. It provides flexible control over session times for different days of the week, making it ideal for traders who need to visualize specific market hours or trading sessions.
🟣 Key Features
- Flexible Session Configuration: Set a common session time for all days or customize individual sessions for each day of the week
- Per-Day Control: Enable or disable sessions for specific days (Monday through Sunday)
- Color Customization: Choose unique colors for each day's session zones
- UTC Timezone Standard: All session times are defined in UTC to ensure consistency across charts
- Clean Visual Display: Non-intrusive background highlighting that doesn't interfere with price action
🟣 How to Use
- Common Session Mode: Use the default mode to apply the same session time across all enabled days
- Manual Per-Day Mode: Enable "Manual per-day sessions" to set different session times for each day
- Day Selection: Toggle individual days on/off based on your trading schedule
- Color Coding: Customize colors for each day to easily distinguish between different sessions
🟣 Technical Details
- Uses Pine Script v6 for optimal performance
- Implements proper session time detection using TradingView's built-in time functions
- Operates in UTC timezone for all session calculations
- Lightweight code that doesn't impact chart performance
🟣 Use Cases
- Highlight specific trading sessions (London, New York, Tokyo, etc.)
- Mark important market hours for your trading strategy
- Visualize different session overlaps
- Create custom trading time windows
- Track market activity during specific hours
🟣 Compatibility
- Works on all timeframes
- Compatible with all asset classes (Forex, Stocks, Crypto, Futures, etc.)
- Supports all TradingView chart types
- Responsive design that adapts to different screen sizes
🟣 Image Descriptions
- First Image (main image): Shows multiple New York Stock Exchange sessions from 1:30 p.m. to 8:00 p.m. (UTC), on the 15-minute timeframe, with each day’s zone colored differently to demonstrate the indicator’s customizable color settings.
- Second Image: A zoomed‑in fractal chart view of the same New York session on the 15-minute timeframe, illustrating how the background session zone appears even at higher detail levels.
Third Image: A close‑up of the New York session (1:30 p.m. to 8:00 p.m.) on the 3-minute timeframe, reaffirming the consistency of zone highlighting across different zoom levels.
🟣 Future Updates (v2)
In the next release, you’ll be able to define multiple session blocks per day—displaying two distinct colored zones within the same trading day. This will help you visualize when one market session ends and another begins without losing chart clarity.
🟣 Conclusion
This indicator is perfect for traders who need precise control over Market Session visualization and want to maintain a clean, professional chart appearance.
🟣 Disclaimer
This script is provided for educational and illustrative purposes only. It is not financial or trading advice, nor a recommendation to buy or sell any asset. Always conduct your own research and consult a professional before making any trading decisions.
Random Coin Toss Strategy📌 Overview
This strategy is a probability-based trading simulation that randomly decides trade direction using a coin-toss mechanism and executes trades with a customizable risk-reward ratio. It's designed primarily for testing entry frequency and risk dynamics, not predictive accuracy.
🎯 Core Concept
Every N bars (configurable), the strategy performs a pseudo-random coin toss.
Based on the result:
If heads → Buy
If tails → Sell
Once a position is opened, it sets a Stop-Loss (SL) and Take-Profit (TP) based on a multiple of the current ATR (Average True Range) value.
⚙️ Configurable Inputs
ATR Length Period for ATR calculation, determines volatility basis.
SL Multiplier SL distance = ATR × multiplier (e.g., 1.0 means 1x ATR) .
TP Multiplier TP distance = ATR × multiplier (e.g., 2.0 = 2x ATR) .
Entry Frequency Bars to wait between each new coin toss decision.
Show TP/SL Zones Toggle on/off for drawing visual TP and SL zones.
Box Size Number of bars used to define the width of the TP/SL boxes.
🔁 Entry & Exit Logic
Entry:
Happens only when no current position exists and it's the correct bar interval.
Entry direction is randomly decided.
Exit:
Positions exit at either:
Take-Profit (TP) level
Stop-Loss (SL) level
Both are calculated using the configured ATR-based distances.
🖼️ Visual Features
TP and SL zones:
Rendered as shaded rectangles (boxes) only once per trade.
Green box for TP zone, red box for SL zone.
Automatically deleted and redrawn for each new trade to avoid chart clutter.
ATR Display Table:
A minimal info table at the top-right shows the current ATR value.
Updates every few bars for performance.
🧪 Use Cases
Ideal for risk-reward modeling, strategy prototyping, and understanding how volatility-based SL/TP behavior affects results.
Great for backtesting frequency, RR tweaks (e.g., 2:5 or 3:1), and execution structure in random conditions.
⚠️ Disclaimer
Since the trade direction is random, this script is not meant for predictive trading but serves as a powerful experiment framework for studying how SL, TP, and volatility interact with random chance in a controlled, repeatable system.
Hour-Stats v2cHour-Stats Indicator
The Hour-Stats indicator is a powerful, data-driven tool designed specifically for NQ futures traders who rely on statistically significant hourly price action probabilities. While traditional indicators typically focus only on the likelihood of prices returning to the opening price, Hour-Stats distinguishes itself by offering detailed statistical analysis across multiple critical price points.
Leveraging over 15 years of historical data, this indicator provides traders with robust probabilities for three unique hourly metrics:
Return to Hourly Open – The percentage likelihood of price revisiting the hourly open after breaking the high or low.
Return to Previous Hour Midpoint (PHM) – Offers clear probabilities of price returning to the midpoint (50%) of the previous hour’s range, a valuable metric for gauging reversals and continuations.
Opposite Extreme Targeting – Calculates the statistical likelihood of price moving to the opposite end (high or low) of the previous hour’s candle range, offering actionable insights for range trading strategies.
Additionally, Hour-Stats presents the historical probabilities of hourly highs and lows forming within three distinct 20-minute segments of each trading hour. This breakdown gives traders a precise understanding of when peaks or troughs are most likely, enhancing entry and exit timing.
The indicator’s settings are highly customizable, allowing traders to personalize visuals such as vertical and horizontal line colors, line styles (dotted, dashed, solid), and line thickness. Further customization includes label sizing, label positioning, and the ability to adjust visual dimming of swept price levels, providing clarity and ease of use during live market conditions.
Inspired by NQ Stats' concept (details available at nqstats, Hour-Stats expands significantly upon the original idea, delivering a uniquely comprehensive suite of hourly probability analytics for informed decision-making in futures trading.
Disclaimer: Futures trading involves significant risk. Traders should conduct their own due diligence and are responsible for their trading outcomes. Historical probabilities do not guarantee future results.
Advanced Currency Strength Meter# Advanced Currency Strength Meter (ACSM)
The Advanced Currency Strength Meter (ACSM) is a scientifically-based indicator that measures relative currency strength using established academic methodologies from international finance and behavioral economics. This indicator provides traders with a comprehensive view of currency market dynamics through multiple analytical frameworks.
### Theoretical Foundation
#### 1. Purchasing Power Parity (PPP) Theory
Based on Cassel's (1918) seminal work and refined by Froot & Rogoff (1995), PPP suggests that exchange rates should reflect relative price levels between countries. The ACSM momentum component captures deviations from long-term equilibrium relationships, providing insights into currency misalignments.
#### 2. Uncovered Interest Rate Parity (UIP) and Carry Trade Theory
Building on Fama (1984) and Lustig et al. (2007), the indicator incorporates volatility-adjusted momentum to capture carry trade flows and interest rate differentials that drive currency strength. This approach helps identify currencies benefiting from interest rate differentials.
#### 3. Behavioral Finance and Currency Momentum
Following Burnside et al. (2011) and Menkhoff et al. (2012), the model recognizes that currency markets exhibit persistent momentum effects due to behavioral biases and institutional flows. The indicator captures these momentum patterns for trading opportunities.
#### 4. Portfolio Balance Theory
Based on Branson & Henderson (1985), the relative strength matrix captures how portfolio rebalancing affects currency cross-rates and creates trading opportunities between different currency pairs.
### Technical Implementation
#### Core Methodologies:
- **Z-Score Normalization**: Following Sharpe (1994), provides statistical significance testing without arbitrary scaling
- **Momentum Analysis**: Uses return-based metrics (Jegadeesh & Titman, 1993) for trend identification
- **Volatility Adjustment**: Implements Average True Range methodology (Wilder, 1978) for risk-adjusted strength
- **Composite Scoring**: Equal-weight methodology to avoid overfitting and maintain robustness
- **Correlation Analysis**: Risk management framework based on Markowitz (1952) portfolio theory
#### Key Features:
- **Multi-Source Data Integration**: Supports OANDA, Futures, and CFD data sources
- **Scientific Methodology**: No arbitrary scaling or curve-fitting; all calculations based on established statistical methods
- **Comprehensive Dashboard**: Clean, professional table showing currency strengths and best trading pairs
- **Alert System**: Automated notifications for strong/weak currency conditions and extreme values
- **Best Pair Identification**: Algorithmic detection of highest-potential trading opportunities
### Practical Applications
#### For Swing Traders:
- Identify currencies in strong uptrends or downtrends
- Select optimal currency pairs based on relative strength divergence
- Time entries based on momentum convergence/divergence
#### For Day Traders:
- Use with real-time futures data for intraday opportunities
- Monitor currency correlations for risk management
- Detect early reversal signals through extreme value alerts
#### For Portfolio Managers:
- Multi-currency exposure analysis
- Risk management through correlation monitoring
- Strategic currency allocation decisions
### Visual Design
The indicator features a clean, professional dashboard that displays:
- **Currency Strength Values**: Each major currency (EUR, GBP, JPY, CHF, AUD, CAD, NZD, USD) with color-coded strength values
- **Best Trading Pairs**: Filtered list of highest-potential currency pairs with BUY/SELL signals
- **Market Analysis**: Real-time identification of strongest and weakest currencies
- **Potential Score**: Quantitative measure of trading opportunity strength
### Data Sources and Latency
The indicator supports multiple data sources to accommodate different trading needs:
- **OANDA (Delayed)**: Free data with 15-20 minute delay, suitable for swing trading
- **Futures (Real-time)**: CME currency futures for real-time analysis
- **CFDs**: Alternative real-time data source option
### Mathematical Framework
#### Strength Calculation:
Momentum = (Price - Price ) / Price * 100
Z-Score = (Price - Mean) / Standard Deviation
Volatility-Adjusted = Momentum / ATR-based Volatility
Composite = 0.5 * Momentum + 0.3 * Z-Score + 0.2 * Volatility-Adjusted
#### USD Strength Derivation:
USD strength is calculated as the weighted average of all USD-based pairs, providing a true baseline for relative strength comparison.
### Performance Considerations
The indicator is optimized for:
- **Computational Efficiency**: Uses Pine Script v6 best practices
- **Memory Management**: Appropriate lookback periods and array handling
- **Visual Clarity**: Clean table design optimized for both light and dark themes
- **Alert Reliability**: Robust signal generation with statistical significance testing
### Limitations and Risk Disclosure
- Model performance may vary during extreme market stress (Black Swan events)
- Requires stable data feeds for accurate calculations
- Not optimized for high-frequency scalping strategies
- Central bank interventions may temporarily distort signals
- Performance assumes normal market conditions with behavioral adjustments
### Academic References
- Branson, W. H., & Henderson, D. W. (1985). "The Specification and Influence of Asset Markets"
- Burnside, C., Eichenbaum, M., & Rebelo, S. (2011). "Carry Trade and Momentum in Currency Markets"
- Cassel, G. (1918). "Abnormal Deviations in International Exchanges"
- Fama, E. F. (1984). "Forward and Spot Exchange Rates"
- Froot, K. A., & Rogoff, K. (1995). "Perspectives on PPP and Long-Run Real Exchange Rates"
- Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers"
- Lustig, H., Roussanov, N., & Verdelhan, A. (2007). "Common Risk Factors in Currency Markets"
- Markowitz, H. (1952). "Portfolio Selection"
- Menkhoff, L., Sarno, L., Schmeling, M., & Schrimpf, A. (2012). "Carry Trades and Global FX Volatility"
- Sharpe, W. F. (1994). "The Sharpe Ratio"
- Wilder, J. W. (1978). "New Concepts in Technical Trading Systems"
### Usage Instructions
1. **Setup**: Add the indicator to your chart and select your preferred data source
2. **Currency Selection**: Choose which currencies to analyze (default: all major currencies)
3. **Methodology**: Select calculation method (Composite recommended for most users)
4. **Monitoring**: Watch the dashboard for strength changes and best pair opportunities
5. **Alerts**: Set up notifications for strong/weak currency conditions
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart.
The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions.
How to Use the Indicator
Step 1: Configure Your Settings
Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00)
Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500)
Contract Type: Choose between:
NQ (Regular): $5 per tick - for larger accounts
MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing
Display Options:
Max Lines: Number of distance lines to show (default: 30)
Show Labels: Toggle tick distance and contract count labels
Line Color: Customize the color of distance lines
Label Size: Choose tiny, small, or normal label sizes
Step 2: Read the Visual Display
Once configured, the indicator displays:
Stop Loss Line:
Thick yellow line marking your exact stop loss level
Yellow label showing the stop loss price
Distance Lines:
Dashed red lines at 10-tick intervals above and below your stop loss
Lines appear on both sides for long and short position planning
Labels (if enabled):
Green labels (right side): For long positions above your stop loss
Red labels (left side): For short positions below your stop loss
Format: "20T 5x" means 20 ticks distance, 5 contracts maximum
Step 3: Use the Information Tables
The indicator provides two helpful tables:
Position Size Table (top-right):
Shows common tick distances (10, 20, 40, 80, 160 ticks)
Displays risk per contract at each distance
Contract count for your specified risk amount
Total risk with rounded contract numbers
Settings Table (bottom-right):
Confirms your current risk amount
Shows selected contract type
Displays current settings for quick reference
Step 4: Apply to Your Trading
For Long Positions:
Look at the green labels on the right side of your chart
Find your desired entry level
Read the label to see: distance in ticks and maximum contracts
Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum
For Short Positions:
Look at the red labels on the left side of your chart
Find your desired entry level
Read the label for tick distance and contract count
Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum
Step 5: Trading Execution
Before Entering a Trade:
Identify your stop loss level and input it into the indicator
Choose your entry point by looking at the distance lines
Note the contract count from the corresponding label
Verify the risk amount matches your trading plan
Execute your trade with the calculated position size
Risk Management Features:
Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit
Zero position filtering: Lines only show where position size is at least 1 contract
Dual-sided display: Plan both long and short opportunities simultaneously
BANKNIFTY Contribution Table [GSK-VIZAG-AP-INDIA]1. Overview
This indicator provides a real-time visual contribution table of the 12 constituent stocks in the BANKNIFTY index. It displays key metrics for each stock that help traders quickly understand how each component is impacting the index at any given moment.
2. Purpose / Trading Use Case
The tool is designed for intraday and short-term traders who rely on index movement and its internal strength or weakness. By seeing which stocks are contributing positively or negatively, traders can:
Confirm trend strength or divergence within the index.
Identify whether a BANKNIFTY move is broad-based or driven by a few heavyweights.
Detect reversals when individual components decouple from index direction.
3. Key Features and Logic
Live LTP: Current price of each BANKNIFTY stock.
Price Change: Difference between current LTP and previous day’s close.
% Change: Percentage move from previous close.
Weight %: Static weight of each stock within the BANKNIFTY index (user-defined).
This estimates how much each stock contributes to the BANKNIFTY’s point change.
Sorted View: The stocks are sorted by their weight (descending), so high-impact movers are always at the top.
4. User Inputs / Settings
Table Position (tableLocationOpt):
Choose where the table appears on the chart:
top_left, top_right, bottom_left, or bottom_right.
This helps position the table away from your price action or indicators.
5. Visual and Plotting Elements
Table Layout: 6 columns
Stock | Contribution | Weight % | LTP | Change | % Change
Color Coding:
Green/red for positive/negative price changes and contributions.
Alternating background rows for better visibility.
BANKNIFTY row is highlighted separately at the top.
Text & Background Colors are chosen for both readability and direction indication.
6. Tips for Effective Use
Use this table on 1-minute or 5-minute intraday charts to see near real-time market structure.
Watch for:
A few heavyweight stocks pulling the index alone (can signal weak internal breadth).
Broad green/red across all rows (signals strong directional momentum).
Combine this with price action or volume-based strategies for confirmation.
Best used during market hours for live updates.
7. What Makes It Unique
Unlike other contribution tables that show only static data or require paid feeds, this script:
Updates in real time.
Uses dynamic calculated contributions.
Places BANKNIFTY at the top and presents the entire internal structure clearly.
Doesn’t repaint or rely on lagging indicators.
8. Alerts / Additional Features
No alerts are added in this version.
(Optional: Alerts can be added to notify when a certain stock contributes above/below a threshold.)
9. Technical Concepts Used
request.security() to pull both 1-minute and daily close data.
Conditional color formatting based on price change direction.
Dynamic table rendering using table.new() and table.cell().
Static weights assigned manually for BANKNIFTY stocks (can be updated if index weights change).
10. Disclaimer
This script is intended for educational and informational purposes only. It does not constitute financial advice or a buy/sell recommendation.
Users should test and validate the tool on paper or demo accounts before applying it to live trading.
📌 Note: Due to internet connectivity, data delays, or broker feeds, real-time values (LTP, change, contribution, etc.) may slightly differ from other platforms or terminals. Use this indicator as a supportive visual tool, not a sole decision-maker.
Script Title: BANKNIFTY Contribution Table -
Author: GSK-VIZAG-AP-INDIA
Version: Final Public Release
Position Size CalculatorIt calculates the risk per trade using two methods: Margin-Based (percentage of total Account Balance) or Equity-Based (percentage of Total Balance minus minimum balance). Displayed as a compact, customizable label on the main chart, it’s perfect for traders seeking quick, precise risk calculations.
Key Features
Two Calculation Options:
Margin-Based: Risk as a percentage (0-5%) of your total account balance.
Equity-Based: Risk as a percentage (0-50%) of (Total balance - Minimum balance).
Flexible Risk Input: Manually enter any risk percentage with 0.01% precision (e.g., 1.75%).
Customizable Display:
Repositionable table (9 positions, e.g., top-right, middle-center).
Four table sizes (XL, L, M, S) with text scaling (large, normal, small, tiny).
Adjustable cell color, text color, and transparency
Margin-Based Risk Calculation:
Set “Total Margin” (e.g., $10,000).
Enter “Risk Percentage (%)” (0 to 5%, e.g., 1.75%).
Equity-Based Risk Calculation:
Set “Total Equity” (e.g., $15,000).
Set “Minimum Balance” (e.g., $5,000).
Enter “Equity Risk Percentage (%)” (0 to 50%, e.g., 1.75%).
Display Settings:
Choose “Calculation Method” (Margin-Based or Equity-Based).
Select “Table Position” (e.g., top_right).
Select “Table Size” (XL, L, M, S; default M).
Customize “Table Cell Color”, “Table Text Color”, and “Table Cell Transparency”.
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading.
🧠 How it works:
The strategy identifies pullbacks using a simple moving average (MA).
When price dips below the MA, it begins monitoring for the first green candle (close > open).
That green candle signals a potential bottom, so it adds to the position.
If price goes lower, it waits for the next green candle and adds again.
The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached.
You can adjust:
MA length (defines what’s considered a pullback)
Initial buy % (how much to pre-fill before signals start)
Buy % per signal (after pullback green candle)
Exit % per red candle after ATH
📊 Intended assets & timeframes:
This strategy is designed for broad market indices and long-term appreciating assets, such as:
SPY, NASDAQ, DAX, FTSE
Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading.
⚠️ Important Limitations:
Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH.
Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens).
Slow capital deployment: Entries happen gradually and may take a long time to close.
Not optimized for returns: Buy & hold can outperform this strategy.
No slippage, fees, or funding costs included.
This is not a performance strategy. It’s a teaching tool to show that:
High win rate ≠ high profitability
Patience can be deceiving
Many signals = long capital lock-in
🎓 Why it exists:
The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost.
This script helps visualize that phenomenon.
Dynamic VWAP: Fair Value & Divergence SuiteDynamic VWAP: Fair Value & Divergence Suite
Dynamic VWAP: Fair Value & Divergence Suite is a comprehensive tool for tracking contextual valuation, overextension, and potential reversal signals in trending markets. Unlike traditional VWAP that anchors to the start of a session or a fixed period, this indicator dynamically resets the VWAP anchor to the most recent swing low. This design allows you to monitor how far price has extended from the most recent significant low, helping identify zones of potential profit-taking or reversion.
Deviation bands (standard deviations above the anchored VWAP) provide a clear visual framework to assess whether price is in a fair value zone (±1σ), moderately extended (+2σ), or in zones of extreme extension (+3σ to +5σ). The indicator also highlights contextual divergence signals, including slope deceleration, weak-volume retests, and deviation failures—giving you actionable confluence around potential reversal points.
Because the anchor updates dynamically, this tool is particularly well suited for trend-following assets like BTC or stocks in sustained moves, where price rarely returns to deep negative deviation zones. For this reason, the indicator focuses on upside extension rather than symmetrical reversion to a long-term mean.
🎯 Key Features
✅ Dynamic Swing Low Anchoring
Continuously re-anchors VWAP to the most recent swing low based on your chosen lookback period.
Provides context for trend progression and overextension relative to structural lows.
✅ Standard Deviation Bands
Plots up to +5σ deviation bands to visualize levels of overextension.
Extended bands (+3σ to +5σ) can be toggled for simplicity.
✅ Conditional Zone Fills
Colored background fills show when price is inside each valuation zone.
Helps you immediately see if price is in fair value, moderately extended, or highly stretched territory.
✅ Divergence Detection
VWAP Slope Divergence: Flags when price makes a higher high but VWAP slope decelerates.
Low Volume Retest: Highlights weak re-tests of VWAP on low volume.
Deviation Failure: Identifies when price reverts back inside +1σ after closing beyond +3σ.
✅ Volume Fallback
If volume is unavailable, uses high-low range as a proxy.
✅ Highly Customizable
Adjust lookbacks, show/hide extended bands, toggle fills, and enable or disable divergences.
🛠️ How to Use
Identify Buy and Sell Zones
Price in the fair value band (±1σ) suggests equilibrium.
Reaching +2σ to +3σ signals increasing overextension and potential areas to take profits.
+4σ to +5σ zones can be used to watch for exhaustion or mean-reversion setups.
Monitor Divergence Signals
Use slope divergence and deviation failures to look for confluence with overextension.
Low volume retests can flag rallies lacking conviction.
Adapt Swing Lookback
30–50 bars: Faster re-anchoring for swing trading.
75–100 bars: More stable anchors for longer-term trends.
🧭 Best Practices
Combine the anchored VWAP with higher timeframe structure.
Confirm signals with other tools (momentum, volume profiles, or trend filters).
Use extended deviation zones as context, not as standalone signals.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results.
Omori Law Recovery PhasesWhat is the Omori Law?
Originally a seismological model, the Omori Law describes how earthquake aftershocks decay over time. It follows a power law relationship: the frequency of aftershocks decreases roughly proportionally to 1/(t+c)^p, where:
t = time since the main shock
c = time offset constant
p = power law exponent (typically around 1.0)
Application to the markets
Financial markets experience "aftershocks" similar to earthquakes:
Market Crashes as Main Shocks: Major market declines (crashes) represent the initial shock event.
Volatility Decay: After a crash, market volatility typically declines following a power law pattern rather than a linear or exponential one.
Behavioral Components: The decay pattern reflects collective market psychology - initial panic gives way to uncertainty, then stabilization, and finally normalization.
The Four Recovery Phases
The Omori decay pattern in markets can be divided into distinct phases:
Acute Phase: Immediately after the crash, characterized by extreme volatility, panic selling, and sharp reversals. Trading is hazardous.
Reaction Phase: Volatility begins decreasing, but markets test previous levels. False rallies and retests of lows are common.
Repair Phase: Structure returns to the market. Volatility approaches normal levels, and traditional technical analysis becomes more reliable.
Recovery Phase: The final stage where market behavior normalizes completely. The impact of the original shock has fully decayed.
Why It Matters for Traders
Understanding where the market stands in this recovery cycle provides valuable context:
Risk Management: Adjust position sizing based on the current phase
Strategy Selection: Different strategies work in different phases
Psychological Preparation: Know what to expect based on the phase
Time Horizon Guidance: Each phase suggests appropriate time frames for trading
Live Price Watermark (Flashing Overlay)Displays the current price as a large, centered watermark directly on your chart. The text color updates dynamically:
- Green when price rises
- Red when price falls
- Translucent black when unchanged
IU Fibonacci Levels For IntradayDESCRIPTION
This indicator draws intraday Fibonacci levels from the opening price of the day using percentage-based retracements. It helps traders identify potential intraday support and resistance zones derived from the day’s opening bias. The levels are dynamically calculated and displayed with optional labels and customizable colors, making it an effective tool for both breakout and mean-reversion intraday strategies.
USER INPUTS
Direction Of The Level
Choose whether to show Upside, Downside, or Both level sets based on your directional bias.
Show Labels of Levels
Option to enable or disable text labels displaying Fibonacci values and prices.
Individual Level Toggles & Colors
You can choose to show or hide each of the following Fibonacci levels and set their respective colors:
* 0.236
* 0.328
* 0.500
* 0.618
* 0.786
* 1.000
INDICATOR LOGIC
On the first bar of the session, the opening price is captured.
Fibonacci levels are then calculated above and below this open using percentage multipliers (for example, day\_open + (day\_open \* 0.236%) for the 0.236 level).
Depending on the selected direction, upside and/or downside levels are plotted.
Filled zones are drawn between levels to visually highlight key price zones.
Optionally, each level can be labeled with its Fibonacci value and price.
WHY IT IS UNIQUE
Unlike traditional swing-based Fibonacci retracements, this tool uses the day’s opening price as an anchor, specifically designed for intraday traders.
Allows traders to quickly visualize micro-support and resistance levels that adapt every day.
Highly customizable and easy to read, with filled level bands for better zone recognition.
Works independently of indicators like RSI, MACD, or moving averages – purely based on price action logic.
HOW USER CAN BENEFIT FROM IT
Spot precise intraday reversal zones or breakout regions.
Combine with price action or volume analysis for smarter entries.
Filter trades by choosing directional bias (Up Site, Down Site, or Both).
Set profit targets or stop-losses based on Fibonacci bands.
Works great for scalpers, day traders, and even short-term swing traders looking to align with opening price momentum.
Disclaimer
This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
Normalized EMA Cycle (NEC)Normalized EMA Cycle (NEC)
The Normalized EMA Cycle (NEC) is a versatile momentum and trend reversal tool designed to detect high-probability turning points and gauge the strength of price cycles.
It combines fast and slow Exponential Moving Averages (EMAs), dynamic normalization, and adaptive transparency to create clear, intuitive reversal signals on the chart.
🔹 How It Works
EMA Differencing
The NEC calculates the difference between a fast EMA and a slower EMA:
Fast EMA Length (default 6) captures short-term momentum.
Slow EMA Length (default 16) tracks broader trends.
The slope of this difference identifies accelerating or decelerating momentum.
Normalization to 0–100 Scale
The raw EMA difference is scaled relative to the recent Alpha Period range (default 6 bars).
This transforms the value into a normalized oscillator ranging between 0 and 100.
A 3-period Hull Moving Average (HMA) smooths this series to reduce noise.
Overbought and Oversold Thresholds
By default:
Overbought Level: 75
Oversold Level: 25
Crossovers of these levels are used to detect potential reversals.
Adaptive Alpha Adjustment
The normalized value is transformed into an “Alpha Schaff” line, dynamically shifting between price and normalized cycles.
This helps the model adjust to different volatility regimes.
Trend Reversal Logic
Bullish Reversal:
Normalized oscillator crosses above the Oversold Level.
EMA difference slope is positive.
Bearish Reversal:
Normalized oscillator crosses below the Overbought Level.
EMA difference slope is negative.
Additional confirmation comes when price crosses the Alpha Schaff line in the direction of momentum.
Dynamic Confidence Visualization
The indicator calculates a trend confidence score based on the normalized separation of the EMAs.
The transparency of reversal markers dynamically adjusts:
Strong trends = more opaque signals
Weak trends = more transparent signals
🔹 How to Use
✅ Entries
Long Signal: Aqua upward label appears below a bar.
Conditions:
Bullish reversal or price crossing above Alpha Schaff
Normalized slope is rising
Short Signal: Fuchsia downward label appears above a bar.
Conditions:
Bearish reversal or price crossing below Alpha Schaff
Normalized slope is falling
✅ Trend Strength
The less transparent the signal marker, the more significant the trend.
✅ Customization
Use the inputs to fine-tune sensitivity:
Shorter EMAs: Faster signals
Longer EMAs: Smoother trends
Alpha Period: Adjusts the lookback range for normalization
🟢 Best Practices
NEC is best used in combination with other trend confirmation tools (e.g., price structure, volume, or higher timeframe EMAs).
Avoid relying on signals in extremely low-volume or choppy ranges.
⚠️ Disclaimer
This script is intended for educational purposes only and does not constitute financial advice. Trading involves substantial risk, and you should consult your financial advisor before making any investment decisions.
SD Levels"SD Levels", is a powerful tool for technical analysis that automatically calculates and plots key price levels based on the price action within a user-defined time range. It functions by identifying a specific trading session, calculating the midpoint and half the range of that session's price action, and then using these values as a baseline and a standard deviation equivalent to project a series of customizable Fibonacci-style levels into the future.
These projected levels can act as potential support and resistance zones, helping traders identify significant price areas where the market might react. The indicator is highly customizable, allowing users to tailor its functionality and appearance to their specific trading strategies.
Key Features
• User-Defined Time Range: You can specify a particular time window (e.g., the first three hours of the New York session) and a corresponding timezone. The indicator will base all its calculations on the high, low, and closing prices within this defined period each day.
• Standard Deviation-Based Levels: The core of the indicator is its use of a "standard deviation" value, which is calculated as half the range (High - Low) of the specified session. The baseline, or "0" level, is the midpoint of this range.
• Customizable Fibonacci Levels: The script allows for the plotting of up to 11 distinct levels, each defined by a multiplier of the calculated standard deviation. Users have complete control over:
o The level's multiplier value.
o Whether the level is displayed.
o The color, style (solid, dashed, dotted), and thickness of the level line.
o The option to display a text label for each level.
• Mirrored Levels: An option is available to automatically "mirror" each level on the opposite side of the baseline. For example, if you have a level at 1.5 standard deviations above the baseline, enabling the mirror function will also plot a corresponding level at -1.5 standard deviations below it.
• Visual Customization: Beyond individual line styles, you can adjust the overall appearance of the levels, including:
o Adding a transparent background fill between the levels to enhance visibility.
o Adjusting the padding (extension) of the level lines to the right of the chart.
o Controlling the size of the labels and choosing to display the level value, the price value, or both.
• Historical Analysis: The indicator can display these calculated levels for a user-specified number of previous days, allowing for back-testing and analysis of how price has historically interacted with these zones.
How It Works
1. Session Identification: The indicator first identifies the bars on the chart that fall within the user-defined Range Time and Timezone.
2. Range Calculation: During this identified session, it records the highest high and the lowest low.
3. Baseline and Deviation Calculation: At the end of the session, it calculates two critical values:
o Baseline: The midpoint of the session's range, calculated as (range_high + range_low) / 2. This serves as the 0 level.
o Standard Deviation Value: Half of the session's total range, calculated as (range_high - range_low) / 2.
4. Level Plotting: Using the baseline and the standard deviation value, the indicator calculates and plots the various user-defined Fibonacci levels. For instance, a level with a multiplier of 2.0 would be plotted at baseline + (2 * stdev_val).
5. Drawing and Extension: The calculated levels are drawn starting from the beginning of the session and are extended forward in time, updating with each new bar. This allows traders to see how the current price is interacting with the levels derived from the earlier session.
In essence, the "SD Levels" indicator provides a structured and automated way to identify and visualize significant, data-driven price levels based on the volatility and price action of a specific, important trading period.
Lot Size Calculator (SL Percentage) - Futures ⚠️ IMPORTANT DISCLAIMER
This indicator is provided for educational and informational purposes only. The author assumes no responsibility for any financial losses, code errors, calculation mistakes, or trading decisions based on this tool. Use at your own risk and responsibility. Always manually verify calculations before opening real positions.
Contract size calculations are based on standard full-size futures contracts, not micro contracts (even though micro contracts are supported for identification).
Description
Money management tool for automatic calculation of optimal contract size (lot size) in futures trading. Supports over 50 futures instruments with pre-configured tick sizes and pip values for CME and other exchanges.
Supported Instruments
Currency Futures: 6J, 6E, 6B, 6A, 6C, 6S, 6N
Index Futures: ES, NQ, YM, RTY, MES, MNQ, MYM, M2K, NKD
Energy: CL, NG, HO, RB, QM
Metals: GC, SI, HG, MGC, SIL
Agricultural: ZC, ZS, ZW, HE, LE, ZO, ZR, ZM, ZL
Interest Rates: ZN, ZB, ZT, ZF
Crypto: MBT, MET
Others: VX
Main Parameters
Equity : Total available capital
Risk : Maximum risk percentage per trade
Stop Loss : Percentage distance of stop loss
Risk/Reward Ratio: Ratio to calculate take profit
Entry Price: Entry price (0 = current price)
Stop Loss Modes
Percentage Stop Loss (Use SL in % = ON):
Automatically calculates SL level as percentage from entry price
Example: Entry 100, SL 2% → Long SL at 98, Short SL at 102
Manual Stop Loss (Use SL in % = OFF):
Enter exact stop loss price directly
Greater precision for specific technical levels (support/resistance)
Interactive feature: You can drag the red stop loss line directly on the chart to modify the level in real-time
How to Use
Set equity and risk % according to your trading plan
Choose direction (Long/Short) and stop loss (percentage or price)
Enter entry price (optional)
Read the CONTRACT SIZE in the green table
Verify levels Entry/SL/TP on the graphic lines
Output
Information table with all parameters and highlighted CONTRACT SIZE
Graphic lines: Entry (blue), Stop Loss (red), Take Profit (green)
Configurable alerts with calculated values
Advantages
✅ Automatic calculation of optimal size
✅ Precise tick sizes for each instrument
✅ Systematic risk management
✅ Clear visual interface
✅ Multi-asset support on futures
Warnings
⚠️ Always verify that the instrument is recognized (no orange warning)
⚠️ Manually check calculations before trading
⚠️ Test in demo before using with real money
⚠️ Update regularly for any contract modifications
⚠️ DISCLAIMER IMPORTANTE
Questo indicatore è fornito esclusivamente a scopo educativo e informativo. L'autore non si assume alcuna responsabilità per eventuali perdite finanziarie, errori nel codice, calcoli errati o decisioni di trading basate su questo strumento. L'utilizzo è a proprio rischio e responsabilità. Si raccomanda di verificare sempre manualmente i calcoli prima di aprire posizioni reali.
I calcoli della dimensione del contratto sono basati su contratti futures standard full-size, non micro contratti (anche se i micro contratti sono supportati per l'identificazione).
Descrizione
Strumento di money management per il calcolo automatico della dimensione ottimale del contratto (lot size) nel trading di futures. Supporta oltre 50 strumenti futures con tick size e pip value pre-configurati per mercati CME e altri exchange.
Strumenti Supportati
Currency Futures: 6J, 6E, 6B, 6A, 6C, 6S, 6N
Index Futures: ES, NQ, YM, RTY, MES, MNQ, MYM, M2K, NKD
Energy: CL, NG, HO, RB, QM
Metals: GC, SI, HG, MGC, SIL
Agricultural: ZC, ZS, ZW, HE, LE, ZO, ZR, ZM, ZL
Interest Rates: ZN, ZB, ZT, ZF
Crypto: MBT, MET
Altri: VX
Parametri Principali
Equity : Capitale totale disponibile
Risk : Percentuale massima di rischio per trade
Stop Loss : Distanza percentuale dello stop loss
Risk/Reward Ratio: Rapporto per calcolare il take profit
Entry Price: Prezzo di entrata (0 = prezzo corrente)
Modalità Stop Loss
Stop Loss Percentuale (Use SL in % = ON):
Calcola automaticamente il livello SL come percentuale dal prezzo di entrata
Esempio: Entry 100, SL 2% → SL Long a 98, SL Short a 102
Stop Loss Manuale (Use SL in % = OFF):
Inserisci direttamente il prezzo esatto dello stop loss
Maggiore precisione per livelli tecnici specifici (supporti/resistenze)
Funzione interattiva: Puoi trascinare direttamente la linea rossa dello stop loss sul grafico per modificare il livello in tempo reale
Come Usare
Imposta equity e risk % secondo il tuo piano di trading
Scegli direzione (Long/Short) e stop loss (percentuale o prezzo)
Inserisci entry price (opzionale)
Leggi il CONTRACT SIZE nella tabella verde
Verifica i livelli Entry/SL/TP sulle linee grafiche
Output
Tabella informativa con tutti i parametri e il CONTRACT SIZE evidenziato
Linee grafiche: Entry (blu), Stop Loss (rosso), Take Profit (verde)
Alert configurabile con i valori calcolati
Vantaggi
✅ Calcolo automatico della size ottimale
✅ Tick size precisi per ogni strumento
✅ Risk management sistematico
✅ Interfaccia visiva chiara
✅ Supporto multi-asset su futures
Avvertenze
⚠️ Verifica sempre che lo strumento sia riconosciuto (no warning arancione)
⚠️ Controlla manualmente i calcoli prima di tradare
⚠️ Testa in demo prima dell'uso con denaro reale
⚠️ Aggiorna regolarmente per eventuali modifiche ai contratti
ETF Leverage VerificationDo leveraged ETFs really return what they promise?
Do they return the exact 2x or 3x? Or a slightly different multiple?
How much do they deviate from the promised leverage multiples?
Do these deviations impact investors in a positive or negative manner?
These are the questions that I want to answer with this indicator.
The ETF Leverage Verification indicator challenges the conventional understanding of leveraged ETFs by measuring how they actually perform versus their theoretical targets.
Instead of assuming leveraged ETFs perfectly track their target multiple, this indicator quantifies the real-world behavior by comparing the expected returns versus the actual results on every trading day.
Key Features
Measures actual versus expected performance of leveraged ETFs
Tracks deviation patterns across thousands of trading days
Identifies asymmetric behavior in up versus down markets
Quantifies beneficial "cushioning effect" during market declines
Provides statistical summary of performance patterns
Works with any leverage factor (2x, 3x, -1x, etc.)
Compatible with all leveraged ETFs (equity, bond, commodity, volatility)
How to Use the Indicator
Enter the Expected Leverage Factor (default: 2.0)
Select the Base Asset (underlying index, e.g., SPX)
Select the Leveraged Asset (leveraged ETF, e.g., SSO)
Understanding the Results
Green markers: Days when the ETF outperformed its expected multiple
Red markers: Days when the ETF underperformed its expected multiple
Data Table:
Positive Deviations: Count of days with better-than-expected performance
Negative Deviations: Count of days with worse-than-expected performance
Avg Deviation: Average magnitude of deviation from expected returns
Frequency Skew: Difference between beneficial deviations in down vs. up markets
Impact: Overall assessment of pattern benefit to investors
Summary Label:
Percentage of positive deviations in up and down markets
Total sample size for statistical significance
Key Patterns to Look For
Positive Deviation in Negative Days:
This occurs when a leveraged ETF falls less than expected during market declines. For example, if SPX falls 1% and a 2x ETF falls only 1.8% (instead of the expected 2%), this creates a +0.2% deviation. This pattern is beneficial as it provides downside protection.
Negative Deviation in Positive Days:
This happens when a leveraged ETF rises less than expected during market advances. For example, if SPX rises 1% and a 2x ETF rises only 1.9% (instead of the expected 2%), this creates a -0.1% deviation. This pattern reduces upside performance.
Frequency Skew:
The most critical metric that measures how much more frequently beneficial deviations occur in down markets compared to up markets. A higher positive skew indicates a stronger asymmetric pattern that helps long-term performance.
Mathematical Background
The indicator computes the deviation between expected and actual performance:
Deviation = Actual Return - Expected Return
Where:
Expected Return = Base Asset Return × Leverage Factor
The deviation is then categorized into four possible outcomes:
Positive deviation on positive market days
Negative deviation on positive market days
Positive deviation on negative market days
Negative deviation on negative market days
In short, more positive deviations are good for investors.
Please feel free to criticize. I'm happy to improve the indicator.
NQ Hourly Stats - Detailed Prob (24h)Hourly Sweep Statistics - Probability Engine (Credits to nqstats.com)
Overview
This indicator is a powerful statistical tool designed for intraday traders, particularly those focused on session-based patterns and mean reversion strategies. It automatically tracks the previous hour's high, low, and open, and when a sweep of the high or low occurs, it instantly displays the historical probability of the price returning to the hourly open within that same hour.
The core of this indicator is a comprehensive probability model built on historical price data, providing traders with an objective, data-driven edge.
Key Concepts
The indicator operates on a simple but effective premise: after the high or low of the previous hour is taken, what is the statistical likelihood that price will revert back to the opening price of the current hour?
• Previous Hour High (PHH) & Previous Hour Low (PHL): These levels often act as key liquidity zones. A sweep of these levels can signify either a stop run before a reversal or the start of a strong continuation.
• Return to Open: This is a classic mean-reversion concept. The indicator quantifies the probability of this event happening based on the exact time the sweep occurs.
• Time-Based Probability: The probability of returning to the open is not static; it changes depending on when the sweep happens. A sweep in the first 5 minutes of the hour has a different statistical outcome than a sweep in the last 5 minutes. This indicator accounts for that variance by breaking down the hour into 12 distinct 5-minute buckets.
How It Works
1. Automatic Level Plotting: At the start of each new hour, the indicator automatically draws three lines on your chart:
o The Previous Hour's High (Teal, solid line)
o The Previous Hour's Low (Maroon, solid line)
o The Current Hour's Open (Gray, dotted line)
2. Sweep Detection & Labeling: The script constantly monitors price action. The moment the current price action sweeps (touches or breaks) the PHH or PHL, a label appears.
o High Sweep: A label will appear above the PHH line.
o Low Sweep: A label will appear below the PHL line.
3. Information-Rich Labels: Each label provides crucial, real-time information:
o Direction: "Took PHH" or "Took PHL".
o Time: The exact time (@ HH:MM) the sweep occurred.
o Probability: The historical probability ("Prob to Open: XX.XX%") of price returning to the hourly open after that specific sweep.
4. Dynamic Color-Coding: The labels are color-coded for at-a-glance interpretation:
o Green: High probability (>70%) - Strong statistical likelihood of returning to the open.
o Orange: Medium probability (40%-70%) - Neutral/moderate likelihood.
o Red: Low probability (<40%) - Weak statistical likelihood of returning to the open; may suggest trend continuation.
How to Use in Your Trading
This indicator is not a standalone signal generator but a powerful confluence tool to enhance your decision-making.
• Mean Reversion Setups: When a sweep occurs and a high-probability (green) label appears, it can serve as strong confirmation for a mean-reversion trade. You can look for entries on a lower timeframe, targeting the hourly open.
• Trend Continuation Setups: If a sweep generates a low-probability (red) label, it suggests that the move has strength and is less likely to reverse. This can be used to validate a breakout or trend-following strategy, or to avoid taking a counter-trend trade.
• Filtering Trades: Use the probabilities to filter your existing setups. You might choose to only take reversion trades when the probability is above a certain threshold (e.g., 70%) or avoid them entirely when the probability is low.
Features & Customization
• Full 24-Hour Data: The statistical model includes data for all 24 hours of the day, making it useful for trading any session (Asia, London, New York).
• Timezone Setting: Ensure you set the Chart Timezone input to match your chart's timezone (e.g., 'America/New_York') for the probabilities to be accurate.
• Custom Colors: All line colors are fully customizable to match your chart's theme.
Disclaimer: This indicator is based on historical statistics and does not guarantee future results. It should be used as part of a comprehensive trading plan that includes proper risk management. Always do your own research and backtesting.
