Momentum BBPCT Z-Score [QuantAlgo]Momentum BBPCT Z-Score 💫📈
The Momentum BBPCT Z-Score by QuantAlgo is an advanced indicator designed to identify statistical extremes and momentum shifts in price action across various timeframes and market conditions. This system combines Bollinger Bands percentage analysis with Z-score calculations and Statistical Momentum evaluation to help traders and investors identify overbought/oversold conditions and trend strength. By evaluating both statistical extremes and momentum together, this tool empowers users to make data-driven decisions, whether they aim to follow trends or capture mean reversion opportunities.
💫 Conceptual Foundation and Innovation
The Momentum BBPCT Z-Score by QuantAlgo provides a unique framework for assessing price action and momentum through a blend of statistical analysis and momentum evaluation. Unlike traditional Bollinger Band indicators that only reflect price position, this system incorporates Z-score normalization to reveal statistically significant deviations, helping users determine whether price movements are extreme relative to historical norms. By combining high-quality momentum analysis with Z-scores of Bollinger Band positioning, it evaluates both statistical probabilities and momentum quality, while Z-scores standardize deviations from historical trends, enabling traders and investors to spot extreme conditions. This dual approach allows users to better identify mean reversion opportunities while respecting strong momentum conditions, enhancing both counter-trend and trend-following strategies.
📊 Technical Composition and Calculation
The Momentum BBPCT Z-Score is composed of several statistical and momentum components that create a dynamic dual scoring model:
Bollinger Bands Percentage (BBPCT) : Measures the relative position of price between bands on a 0-100 scale, providing a normalized view of price extremes relative to the bands.
Z-Score Normalization : Applies statistical normalization to BBPCT values to identify significant deviations from historical means, helping traders and investors quantify the extremity of current market conditions.
Statistical Momentum Analysis : Evaluates price action across multiple periods to determine momentum strength and persistence, adding depth to the analysis beyond simple price positioning.
📈 Key Indicators and Features
The Momentum BBPCT Z-Score combines various statistical and technical tools to deliver a well-rounded analysis of market conditions.
The indicator utilizes dynamic Bollinger Bands with customizable length and standard deviation multipliers to adapt to market volatility. Z-score calculations are applied to normalize the percentage position within these bands, providing clear statistical context for price movements. The Statistical Momentum component evaluates price action across user-defined periods, helping validate trends and identify potential reversals.
The indicator also incorporates multi-layered visualization with gradient color coding to signal both statistical extremes and momentum conditions. These adaptive visual cues, combined with threshold-based alerts for overbought and oversold zones, help traders and investors track both statistical extremes and momentum shifts, adding reliability to both mean-reversion and trend-following strategies.
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Z-Scores and Momentum: Watch the Z-score values and momentum state to identify statistically significant price movements. During extreme readings, consider mean reversion opportunities, while strong momentum readings may signal trend-following opportunities.
🔔 Set Alerts: Configure alerts for Z-score extremes and momentum shifts, ensuring you can act on significant statistical and trend changes promptly.
🌟 Summary
The Momentum BBPCT Z-Score by QuantAlgo is a highly adaptable tool, designed to support both statistical and momentum analysis across different market environments. By combining Z-score normalized Bollinger Band positioning with Statistical Momentum Analysis, it helps traders and investors identify statistically significant price movements while measuring momentum quality, providing more reliable trading signals. The tool's flexibility across timeframes makes it ideal for both mean reversion and trend-following strategies, allowing users to capture opportunities while maintaining statistical rigor in their analysis.
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Volatility and Tick Size DataThis indicator, titled "Tick Information & Standard Deviation Table," provides detailed insights into market microstructure, including tick size, point value, and standard deviation values calculated based on the True Range. It helps visualize essential trading parameters that influence transaction costs, risk management, and portfolio performance, including volatility measures that can guide investment strategies.
Why These Data Points Are Important for Portfolio Management
Tick Size and Point Value:
Tick size refers to the smallest possible price movement in a given asset. It defines the granularity of the price changes, affecting how precise the market price can be at any moment. Point value reflects the monetary value of a single price movement (one tick). These two data points are essential for understanding transaction costs and for evaluating how much capital is at risk per price movement. Smaller tick sizes may lead to more efficient pricing in high-frequency trading strategies (Hasbrouck, 2009).
Reference: Hasbrouck, J. (2009). Empirical Market Microstructure. Foundations and Trends® in Finance, 3(4), 169-272.
Standard Deviations and Volatility:
Standard deviation measures the variability or volatility of an asset's price over a set period. This data point is critical for portfolio management, as it helps to quantify risk and predict potential price movements. True Range and its standard deviations provide a more comprehensive measure of market volatility than just price fluctuations, as they include gaps and extreme price changes. Investors use volatility data to assess the potential risk and adjust portfolio allocations accordingly (Ang, 2006).
Reference: Ang, A. (2006). Asset Management: A Systematic Approach to Factor Investing. Oxford University Press.
Risk Management:
The ability to quantify risk through metrics like the 1st, 2nd, and 3rd standard deviations of the true range is essential for implementing risk controls within a portfolio. By incorporating volatility data, portfolio managers can adjust their strategies for different market conditions, potentially reducing exposure to high-risk environments. These volatility measures help in setting stop-loss levels, optimizing position sizes, and managing the portfolio’s overall risk-return profile (Black & Scholes, 1973).
Reference: Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 81(3), 637-654.
Portfolio Diversification and Hedging:
Understanding asset volatility and transaction costs is critical when constructing a diversified portfolio. By using the standard deviations from this indicator, investors can better identify assets that may provide diversification benefits, potentially reducing the overall portfolio risk. Moreover, the point values and tick sizes help assess the cost-effectiveness of various assets, enabling portfolio managers to implement more efficient hedging strategies (Markowitz, 1952).
Reference: Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77-91.
Conclusion
The Tick Information & Standard Deviation Table provides critical market data that informs the risk management, diversification, and pricing strategies used in portfolio management. By incorporating tick size, point value, and volatility metrics, investors can make more informed decisions, better manage risk, and optimize the returns on their portfolios. The data serves as an essential tool for aligning asset selection and portfolio allocations with the investor's risk tolerance and market conditions.
TOP 20 ALTCOIN INDEXIndicator Description
The "ALT20 INDEX" is a financial analysis tool designed to track the aggregate value of the top 20 cryptocurrencies by market capitalization and closing prices over specific periods. This indicator reflects changes in the combined value of these 20 ALTCOINs, providing an overview of trends in the cryptocurrency market.
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Purpose and Practical Applications
1. Tracking Top Cryptocurrencies:
- The indicator allows monitoring the value of the top 20 ALTCOINs, reflecting the general volatility of the cryptocurrency market.
- Helps investors focus on high-capitalization assets.
2. Performance Comparison:
- Serves as a tool to compare the performance of the ALT20 group against other assets like Bitcoin, Ethereum, or traditional financial indices.
3. Assessing Market Health:
- Enables evaluation of market trends, identifying growth or decline periods.
4. Practical Applications:
- Suitable for fund managers, long-term investors, or trend traders to make decisions based on the overall ALTCOIN market performance.
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How the Indicator Works
1. Selection of Top 20 ALTCOINs:
- Cryptocurrencies are selected based on their market capitalization at each rebalancing period.
2. Weight Allocation and Calculation:
- Weight: Determined by the market capitalization of each ALTCOIN relative to the total market capitalization of the top 20.
- Token Quantity: Calculated based on weight, total allocation points (e.g., 100 points for T1, 722.63 points for T2, etc.), and each ALTCOIN's closing price.
Formula: Token Quantity = Weight × Total Allocation Points/Closing Price
3. Periodic Rebalancing:
- Rebalancing frequency: Once a year.
- At each rebalancing period, the weights and token quantities are adjusted based on new market capitalization and prices.
4. Portfolio Value Calculation:
- The value of each ALTCOIN is calculated as:
Token Value = Closing Price × Token Quantity
- Index Total: ALT20 Index = 20∑'i=1'Token Value'i'
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Rebalancing Periods
T1 (2020-2021): Initial period, token quantities calculated based on weights and a total of 100 points.
T2 (2021-2022): Rebalanced with a total allocation of 722.63 points.
T3 (2022-2023): Total allocation of 252.26 points, reflecting portfolio adjustments based on new prices and market caps.
T4 (2023-2024): Total allocation of 261.43 points.
T5 (2024-Present): Total allocation of 437.42 points, updated to reflect the current market.
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Indicator Features
- Displays Index Value Over Time:
+ index_value_T1 to index_value_T5 represent the portfolio value during specific timeframes.
+ Values are calculated based on the daily closing prices of ALTCOINs.
- Visualization:
+ The index for each period is plotted on the chart, enabling easy observation of market trends over time.
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Practical Applications
- Portfolio Management:
+ The indicator helps track the performance of asset groups within the ALTCOIN portfolio.
- Integration into Trading Systems:
+ Used as a reference for automated or manual trading strategies.
- Market Analysis:
+ Assists analysts in evaluating cryptocurrency market movements based on the top 20 ALTCOINs.
Let me know if further optimization or additional information is needed! Thank!
Confluence ChecklistHOW DOES IT WORK?
The "Confluence Checklist" indicator helps you to stick to your trading plan with your set rules. You have a total of 8 rules that can be set up manually. Using the checkbox, you can check during trading whether your rules are followed or not. You can change the colors of the table on the one hand, and the size and width of the table columns on the other.
█ WHAT MAKES IT UNIQUE?
It is the only checklist indicator on Tradingview that has an integrated checkbox. Thus, you can always check your trading plan.
█ HOW TO USE IT?
The best way to start is to create your personal trading plan based on your trading strategy. Then you can display the trading plan digitally in Tradingview. This way you don't have to write and check your rules on paper anymore. This is very important for scalping, because sometimes you only have a few seconds left for the execution. After creating the trading plan, you can integrate it into the checklist. Before placing an order, you can check the checklist to see if the trade is really valid.
Z The Good Stuff +I created this script to have a couple datapoints that I want to look at when going through charts to find trade ideas. Qullamaggie is one of my biggest inspirations and I built in a couple of his concepts with a touch to help me with sizing properly, all explained below:
Box 1: ADR %, Average Daily Range, gives and indication of how volatile the stock is. It uses the 20 day average % move of the current stock on the chart.
Box 2: LOD Distance, low of day distance is a quality of life element I created. It calculates the low for the current candle and color codes it red or green depending on if it's higher or lower than the daily ADR. The logic is that if a stock has an average speed, buying on a setup it is preferred if the stop distance (assuming a low of day stop) should be less than the ADR to improve the odds of more upside.
Box 3: Todays DV, this shows a rough estimate of how much money was traded on the particular day.
Box 4: ADV 20 days, similar to above this shows the 20 day $ traded average. The point to look at it is to have a better idea what position size is possible to not get stuck in something too illiquid.
Box 5: Market cap, just shows the market cap of the stock to know what size the company is.
Box 6: Number of shares, this is an additional quality of life aspect. If using low of day stops, this part calculates based on the users' inputted portfolio size and portfolio risk preference and then calculates how many stocks to buy to stay within the risk parameters. It is obviously not a sole decision making parameter nor does it guarantee any execution, but if a stock is showing an entry you want to take you can use the number of shares to help you know how many to buy. The preset is a portfolio of 10000 and a risk of 0.25%. This means that the number of shares to buy will be at the current price with lod stop that would result in a 0.25% portfolio loss. OF COURSE the actual loss depends on the execution and if the user places a stop loss order.
Hope you find it useful and feel free to give feedback! Cheers!
Position Sizing Calculator (Real-Time)█ SUMMARY
The following indicator is a Position Sizing Calculator based on Average True Range (ATR), originally developed by market technician J. Welles Wilder Jr., intended for real-time trading.
This script utilizes the user's account size, acceptable risk percentage, and a stop-loss distance based on ATR to dynamically calculate the appropriate position size for each trade in real time.
█ BACKGROUND
Developed for use on the 5-minute timeframe, this script provides traders with continuously updated, dynamic position sizes. It enables traders to instantly determine the exact number of shares and dollar amount to use for entering a trade within their acceptable risk tolerance whenever a trade opportunity arises.
This real-time position sizing tool helps traders make well-informed decisions when planning trade entries and calculating maximum stop-loss levels, ultimately enhancing risk management.
█ USER INPUTS
Trading Account Size: Total dollar value of the user's trading account.
Acceptable Risk (%): Maximum percentage of the trading account that the user is willing to risk per trade.
ATR Multiplier for Stop-Loss: Multiplier used to determine the distance of the stop-loss from the current price, based on the ATR value.
ATR Length: The length of the lookback period used to calculate the ATR value.
Portfolio [Afnan]🚀 Portfolio - Advanced Portfolio Management Indicator 📊
A game-changing portfolio management tool designed to help traders stay on top of their positions and manage risk efficiently. This indicator combines detailed tracking, real-time analytics, and visual clarity to ensure traders are well-equipped for the dynamic world of financial markets.
📈 Key Features 💡
Track up to 14 positions with ease
Real-time Profit & Loss (P&L) updates and risk metrics
Visual representation of entry, stop-loss (SL), and target levels
Alerts for stop-loss breaches and target achievements
Comprehensive portfolio summaries for quick analysis
Customizable options to suit individual trading styles
🔍 Main Components ⚙️
📊 1. Position Tracking
Detailed position data: entry, stop-loss, target levels, and more
Real-time risk-reward ratios
Insights into position size and exposure percentages
Continuous updates on P&L in real-time
📉 2. Visual Indicators
Clear visual markers for entry, SL, and target prices
Price labels with detailed percentage changes
Indicators that show the current position's market status
💼 3. Portfolio Summary
Aggregate account values and exposure
Summarized P&L metrics across all positions
Risk management insights for better decision-making
Daily performance tracking to evaluate strategies
⚠️ 4. Alert System
Instant notifications for stop-loss breaches
Alerts when target prices are hit
Alerts operate for the current chart symbol
⚡ Customization Options 🎨
Show or hide specific data columns
Adjust the table's position and size for better visibility
Personalize color schemes and text styles
Switch between full portfolio view and single symbol focus
📱 How to Use 📝
Input your positions in the indicator's settings
Enable or disable specific positions dynamically
Customize display preferences to your liking
Set up alerts for proactive risk management
Monitor all your trading activities in one comprehensive dashboard
📌 Important Notes ℹ️
Compatible with any trading symbol
Updates seamlessly during market hours
Alerts are specific to the currently active chart symbol
Maximum capacity: 14 simultaneous positions
Created by: @AfnanTAjuddin
⚠️ Disclaimer ⚠️
This indicator is a tool for informational purposes only. Ensure all calculations are verified and consult a financial professional before making investment decisions.
🎯 "Stay disciplined, trade smart, and let data guide your decisions." 📊
Linear Regression Channel Screener [Daveatt]Hello traders
First and foremost, I want to extend a huge thank you to @LonesomeTheBlue for his exceptional Linear Regression Channel indicator that served as the foundation for this screener.
Original work can be found here:
Overview
This project demonstrates how to transform any open-source indicator into a powerful multi-asset screener.
The principles shown here can be applied to virtually any indicator you find interesting.
How to Transform an Indicator into a Screener
Step 1: Identify the Core Logic
First, identify the main calculations of the indicator.
In our case, it's the Linear Regression
Channel calculation:
get_channel(src, len) =>
mid = math.sum(src, len) / len
slope = ta.linreg(src, len, 0) - ta.linreg(src, len, 1)
intercept = mid - slope * math.floor(len / 2) + (1 - len % 2) / 2 * slope
endy = intercept + slope * (len - 1)
dev = 0.0
for x = 0 to len - 1 by 1
dev := dev + math.pow(src - (slope * (len - x) + intercept), 2)
dev
dev := math.sqrt(dev / len)
Step 2: Use request.security()
Pass the function to request.security() to analyze multiple assets:
= request.security(sym, timeframe.period, get_channel(src, len))
Step 3: Scale to Multiple Assets
PineScript allows up to 40 request.security() calls, letting you monitor up to 40 assets simultaneously.
Features of This Screener
The screener provides real-time trend detection for each monitored asset, giving you instant insights into market movements.
It displays each asset's position relative to its middle regression line, helping you understand price momentum.
The data is presented in a clean, organized table with color-coded trends for easy interpretation.
At its core, the screener performs trend detection based on regression slope calculations, clearly indicating whether an asset is in a bullish or bearish trend.
Each asset's price is tracked relative to its middle regression line, providing additional context about trend strength.
The color-coded visual feedback makes it easy to spot changes at a glance.
Built-in alerts notify you instantly when any asset experiences a trend change, ensuring you never miss important market moves.
Customization Tips
You can easily expand the screener by adding more symbols to the symbols array, adapting it to your watchlist.
The regression parameters can be adjusted to match your preferred trading timeframes and sensitivity.
The alert system is already configured to notify you of trend changes, but you can customize the alert messages and conditions to your needs.
Limitations
While powerful, the screener is bound by PineScript's limitation of 40 security calls, capping the maximum number of monitored assets.
Using AI to Help With Conversion
An interesting tip:
You can use AI tools to help convert single-asset indicators to screeners.
Simply provide the original code and ask for assistance in transforming it into a screener format. While the AI output might need some syntax adjustments, it can handle much of the heavy lifting in the conversion process.
Prompt (example) : " Please make a pinescript version 5 screener out of this indicator below or in attachment to scan 20 instruments "
I prefer Claude AI (Opus model) over ChatGPT for pinescript.
Conclusion
This screener transformation technique opens up endless possibilities for market analysis.
By following these steps, you can convert any indicator into a powerful multi-asset scanner, enhancing your trading toolkit significantly.
Remember: The power of a screener lies not just in monitoring multiple assets, but in applying consistent analysis across your entire watchlist in real-time.
Feel free to fork and modify this screener for your own needs.
Happy trading! 🚀📈
Daveatt
Crypto Index Creator (MEMES & AI Supercycle Dominance, etc)This indicator aims to help to create any INDEX desired including but not limited to its Market Cap and Dominance on the crypto market.
This script was inspired originally by Murad's "Memecoins Dominance" but then I extended it to AI and can be extended to anything in fact, so you can create any index!
I made each token entry editable so that the script can survive the evolution of time as likely projects and INDEXES are going to change a lot, so that you can add/modify your own indices of preference if not listed by default and in order to make it future proof.
You can play with the settings, can compare to BTC, ETC, SOL, etc. for helping in your studies
You also have the option to check the info of each symbol on a table available on the settings, in order to help you figure out if there are any errors and also help you to easily check how the symbols are performing individually
Notes:
- Many projects are not like MEMECOINS that have fixed supply, normally VC projects have a very variable circulating supply, so you might want to update the info of the circulating supply for your projects to make it more accurate if you desire.
- For this script there is a limit of 32 Symbols, due to tradingview own limits, yet you can always "add" multiple projects per line as long as their circulating supply is the same.
- You might want to edit/sort the tickers of the top3, top5 and top10 if they follow bellow those top ranks, but this is not necessary if you don't care about Top 3-10 specific calculations.
- My default "indices" were made of token selections of mine as of November 2024, those defaults indices/tickers I might or might not update them eventually but you are free to adapt/modify the tickers in the settings as history evolves, and you can leave your own indexes on the comment section of this post for others to use
- As you might not be able to create/store multiple different indexes at the same time, you might want to add this indicator multiple times on your screen and then modify the tickers of each instance of this indicator, by that you can have multiple indexes.
Custom Date Range - Return CalculatorCustom Date Range Return Indicator
Overview
This indicator is designed to help traders quickly calculate the percentage return of a particular stock, sector, currency, or cryptocurrency over a custom date range. It simplifies the process of analyzing performance by allowing traders to navigate through multiple charts efficiently and compare returns over different periods.
Key Features
Custom Date Ranges: Traders can input two different date ranges to compare returns. For example, they can view the Year-to-Date (YTD) return versus the return from a recent swing high.
Visual Levels and Labels:
Start-1 Label: Marks the start date of the first input range with a green horizontal line.
Start-2 Label: Marks the start date of the second input range with an orange horizontal line.
End Label: Marks the end date with a red horizontal line. Table positioning can be adjusted from the input.
Performance Comparison: Enables traders to gauge how a stock is performing relative to its benchmark index by comparing returns over two different periods. % Return is Green if positive else Red is Negative.
Usage
Analysis Only: This indicator is intended for analysis purposes and does not provide buy or sell recommendations.
Complementary Tool : Traders should use this indicator in conjunction with other technical indicators and solid fundamental analysis to make informed decisions.
Benefits
Efficiency : Eliminates the need to manually draw price ranges on each chart, allowing traders to quickly assess performance across multiple charts.
Informed Decisions: By comparing returns over different periods, traders can make better-educated decisions about the behavior of an asset in relation to its benchmark.
Important Note
Traders must use their own discretion when analyzing stocks and should consider other technical indicators and fundamental factors before making any trading decisions.
Checklist By TAZFX with Trade ScoreTrading Checklist is a customizable indicator designed for traders who want to stay disciplined and stick to their trading rules. Using this indicator, you can easily create and display your own personalized checklist of trading rules directly on your TradingView chart.
1. Customizable Settings:
• Positioning : Place the table in one of nine positions on the chart (e.g., bottom left, top right).
• Header : Modify the banner text, size, and color.
• Row Content : Define text for each row and control visibility.
• Appearance : Adjust text and background colors.
2. Checklist Table:
•Displays up to 8 rows with checkboxes (✅/❌) and custom labels for trade evaluation.
•Useful for tracking whether specific trade conditions or rules are met.
3. Trade Score Calculation:
•The Trade Score is a percentage that shows how many of your checklist items are checked compared to the total visible items.
Calculadora para determinar el tamaño de la posiciónEsta calculadora usa como variables a ingresar :
- El tamaño de su cuenta
- Los niveles Stop Loss y Take Profit
- Definir un tamaño máximo de la posición por operación (25% de la cuenta)
- El monto máximo de perdida por operación (ej. 2% del total de la cuenta)
- El precio de compra de la acción
Entrega en el grafico el numero de acciones a comprar, el monto de la operación y la cantidad que esta en riesgo en esta operación, además grafica las línea donde estarán el Stop Loss y Take Profit y el precio al que se estaría comprando, facilitando la colocación de la operación.
Sticky Note Pro: Customizable Trading ChecklistStay organized and disciplined with this customizable sticky note on your TradingView chart. Perfect for traders who want to keep essential trading reminders, checklists, or notes visible while analyzing the market.
### Features:
- **Customizable Templates**: Choose from a **Trading Checklist**, **Risk Management**, or **Custom** template.
- **Section Customization**: Tailor the titles and content for up to three sections:
- 📊 **Analysis**: Track trend direction and support/resistance levels.
- 💰 **Risk Management**: Ensure proper risk management with reminders for risk percentage and stop loss settings.
- 🧠 **Psychology**: Stay disciplined with reminders to stick to your plan and avoid overtrading.
- **Dynamic Content**: Add or hide sections based on your preference, with dynamic spacing and content formatting.
- **Visual Customization**: Change text and background colors, and adjust text size and line spacing for optimal visibility.
- **Chart Integration**: The sticky note is displayed on the top-right corner of your chart and updates with the most recent bar.
### Why Use This Indicator?
This tool helps you stay on track with your trading plan, offering reminders for analysis, risk management, and trading psychology, all in one convenient place. Customize it to fit your style, and never miss a key point during your trading sessions again.
Sharpe Ratio Z-ScoreThe "Sharpe Ratio Z-Score" indicator is a powerful tool designed to measure risk-adjusted returns in financial assets. This script helps investors evaluate the performance of a security relative to its risk, using a Z-score based modification of the Sharpe Ratio. The indicator is suitable for assessing market environments and understanding periods of underperformance or overperformance relative to historical standards.
Features:
Risk Assessment and Scaling: The indicator calculates a modified version of the Sharpe Ratio
over a user-defined period. By using scaling and mean offset adjustments, it allows for better
fitting to different market conditions.
Customizable Settings:
Period Length: The number of bars used to calculate the Sharpe Ratio.
Mean Adjustment: Offset value to adjust the average return of the calculated Sharpe ratio.
Scale Factor: A multiplier for emphasizing or reducing the calculated score's impact.
Line Color: Easily customize the plot's appearance.
Visual Cues:
Plots horizontal lines and fills specific regions to visually represent significant Z-score levels.
Highlighted zones include risk thresholds, such as overbought (positive Z-scores) and oversold
(negative Z-scores) areas, using intuitive color fills:
Green for areas below -0.5 (potential buy opportunities).
Red for areas above 0.5 (potential sell opportunities).
Yellow for neutral zones between -0.5 and 0.5.
Use Cases:
Risk-Adjusted Decision Making: Understand when returns are favorable compared to risk, especially during volatile market conditions.
Timing Reversion to Mean: Use highlighted zones to identify potential reversion-to-mean scenarios.
Trend Analysis: Identify times when an asset's performance is significantly deviating from its
average risk-adjusted return.
How It Works:
The script computes the daily returns over a set period, calculates the standard deviation of
those returns, and then applies a modified Sharpe Ratio approach. The Z-score transformation
helps to visualize how far an asset's risk-adjusted return deviates from its historical average.
This "Sharpe Ratio Z-Score" indicator is well-suited for investors seeking to combine quantitative metrics with visual cues, enhancing decision-making for long and short positions while maintaining a risk-adjusted perspective.
Sharpe Ratio With Upper/Lower BandsSharpe Ratio with Upper/Lower Bands is an advanced indicator designed to measure and visualize risk-adjusted returns. The Sharpe Ratio evaluates the performance of an asset or portfolio relative to its risk, helping traders and investors gauge efficiency.
This indicator enhances the traditional Sharpe Ratio by adding dynamic upper and lower bands based on its historical mean and standard deviation. These bands provide clear visual thresholds for overperformance and underperformance, allowing users to identify when the Sharpe Ratio deviates significantly from its typical range.
It’s a valuable tool for spotting extreme risk-adjusted performance levels, optimizing entry and exit points, and maintaining a balanced risk-reward strategy.
Conditional Value at Risk (CVaR)This Pine Script implements the Conditional Value at Risk (CVaR), a risk metric that evaluates the potential losses in a financial portfolio beyond a certain confidence level, incorporating both the Value at Risk (VaR) and the expected loss given that the VaR threshold has been breached.
Key Features:
Input Parameters:
length: Defines the observation period in days (default is 252, typically used to represent the number of trading days in a year).
confidence: Specifies the confidence interval for calculating VaR and CVaR, with values between 0.5 and 0.99 (default is 0.95, indicating a 95% confidence level).
Logarithmic Returns Calculation: The script computes the logarithmic returns based on the daily closing prices, a common method to measure financial asset returns, given by:
Log Return=ln(PtPt−1)
Log Return=ln(Pt−1Pt)
where PtPt is the price at time tt, and Pt−1Pt−1 is the price at the previous time point.
VaR Calculation: Value at Risk (VaR) is estimated as the percentile of the returns array corresponding to the given confidence interval. This represents the maximum loss expected over a given time horizon under normal market conditions at the specified confidence level.
CVaR Calculation: The Conditional VaR (CVaR) is calculated as the average of the returns that fall below the VaR threshold. This represents the expected loss given that the loss has exceeded the VaR threshold.
Visualization: The script plots two key risk measures:
VaR: The maximum potential loss at the specified confidence level.
CVaR: The average of the losses beyond the VaR threshold.
The script also includes a neutral line at zero to help visualize the losses and their magnitude.
Source and Scientific Background:
The concept of Value at Risk (VaR) was popularized by J.P. Morgan in the 1990s, and it has since become a widely-used tool for risk management (Jorion, 2007). Conditional Value at Risk (CVaR), also known as Expected Shortfall, addresses the limitation of VaR by considering the severity of losses beyond the VaR threshold (Rockafellar & Uryasev, 2002). CVaR provides a more comprehensive risk measure, especially in extreme tail risk scenarios.
References:
Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk. McGraw-Hill Education.
Rockafellar, R.T., & Uryasev, S. (2002). Conditional Value-at-Risk for General Loss Distributions. Journal of Banking & Finance, 26(7), 1443–1471.
ATH/ATL trackerThis script calculates and displays in a table in realtime:
- ATH, date of occurrence, and that price/current price
- ATL, date of occurrence, and that price/current price
- ATH of the current year, date of occurrence, and that price/current price
- ATL of the current year, date of occurrence, and that price/current price
Crypto Wallets Profitability & Performance [LuxAlgo]The Crypto Wallets Profitability & Performance indicator provides a comprehensive view of the financial status of cryptocurrency wallets by leveraging on-chain data from IntoTheBlock. It measures the percentage of wallets profiting, losing, or breaking even based on current market prices.
Additionally, it offers performance metrics across different timeframes, enabling traders to better assess market conditions.
This information can be crucial for understanding market sentiment and making informed trading decisions.
🔶 USAGE
🔹 Wallets Profitability
This indicator is designed to help traders and analysts evaluate the profitability of cryptocurrency wallets in real-time. It aggregates data gathered from the blockchain on the number of wallets that are in profit, loss, or breaking even and presents it visually on the chart.
Breaking even line demonstrates how realized gains and losses have changed, while the profit and the loss monitor unrealized gains and losses.
The signal line helps traders by providing a smoothed average and highlighting areas relative to profiting and losing levels. This makes it easier to identify and confirm trading momentum, assess strength, and filter out market noise.
🔹 Profitability Meter
The Profitability Meter is an alternative display that visually represents the percentage of wallets that are profiting, losing, or breaking even.
🔹 Performance
The script provides a view of the financial health of cryptocurrency wallets, showing the percentage of wallets in profit, loss, or breaking even. By combining these metrics with performance data across various timeframes, traders can gain valuable insights into overall wallet performance, assess trend strength, and identify potential market reversals.
🔹 Dashboard
The dashboard presents a consolidated view of key statistics. It allows traders to quickly assess the overall financial health of wallets, monitor trend strength, and gauge market conditions.
🔶 DETAILS
🔹 The Chart Occupation Option
The chart occupation option adjusts the occupation percentage of the chart to balance the visibility of the indicator.
🔹 The Height in Performance Options
Crypto markets often experience significant volatility, leading to rapid and substantial gains or losses. Hence, plotting performance graphs on top of the chart alongside other indicators can result in a cluttered display. The height option allows you to adjust the plotting for balanced visibility, ensuring a clearer and more organized chart.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
Chart Occupation %: Adjust the occupation percentage of the chart to balance the visibility of the indicator.
🔹 Profiting Wallets
Profiting Percentage: Toggle to display the percentage of wallets in profit.
Smoothing: Adjust the smoothing period for the profiting percentage line.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) to overlay on the profiting percentage.
🔹 Losing Wallets
Losing Percentage: Toggle to display the percentage of wallets in loss.
Smoothing: Adjust the smoothing period for the losing percentage line.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) to overlay on the losing percentage.
🔹 Breaking Even Wallets
Breaking-Even Percentage: Toggle to display the percentage of wallets breaking even.
Smoothing: Adjust the smoothing period for the breaking-even percentage line.
🔹 Profitability Meter
Profitability Meter: Enable or disable the meter display, set its width, and adjust the offset.
🔹 Performance
Performance Metrics: Choose the timeframe for performance metrics (Day to Date, Week to Date, etc.).
Height: Adjust the height of the chart visuals to balance the visibility of the indicator.
🔹 Dashboard
Block Profitability Stats: Toggle the display of profitability stats.
Performance Stats: Toggle the display of performance stats.
Dashboard Size and Position: Customize the size and position of the performance dashboard on the chart.
🔶 RELATED SCRIPTS
Market-Sentiment-Technicals
Multi-Chart-Widget
War IndexIntroduction
Welcome to the War Index! This project aims to provide traders, investors, and analysts with a specialized financial indicator that tracks the performance of key defense and aerospace companies. By aggregating the percentage changes of selected stocks, the War Index offers insights into the defense sector's dynamics and its relationship with the broader market.
What is the War Index?
The War Index is a custom financial indicator designed to approximate the collective performance of major defense and aerospace companies. It aggregates the daily percentage changes of selected stocks within the defense sector to provide a singular metric that reflects the overall health and trends of this industry. Additionally, the index is compared against the S&P 500 (SPX) to contextualize its performance relative to the broader market.
Index Components
The War Index comprises the following 16 stocks, each representing a significant player in the defense and aerospace industries:
Lockheed Martin Corporation ( NYSE:LMT )
Northrop Grumman Corporation ( NYSE:NOC )
Boeing Company ( NYSE:BA )
Raytheon Technologies Corporation ( NYSE:RTX )
General Dynamics Corporation ( NYSE:GD )
BAE Systems plc ( OTC:BAESY )
L3Harris Technologies, Inc. ( NYSE:LHX )
Textron Inc. ( NYSE:TXT )
Huntington Ingalls Industries, Inc. ( NYSE:HII )
Oshkosh Corporation ( NYSE:OSK )
Leidos Holdings, Inc. ( NYSE:LDOS )
Kratos Defense & Security Solutions, Inc. ( NASDAQ:KTOS )
Spirit AeroSystems Holdings, Inc. ( NYSE:SPR )
Parsons Corporation ( NYSE:PSN )
CACI International Inc ( NYSE:CACI )
ViaSat, Inc. ( NASDAQ:VSAT )
Purpose of the War Index
The War Index serves several key purposes:
Sector Performance Tracking : By aggregating the performance of major defense and aerospace companies, the index provides a clear picture of the sector's overall health.
Investment Analysis : Investors can use the index to identify trends, evaluate sector strength, and make informed decisions regarding their portfolios.
Comparative Benchmarking : Comparing the War Index with broader market indices like the S&P 500 helps in understanding how the defense sector performs relative to the general market.
Disclaimer: This War Index is an approximated indicator intended for informational purposes only. It should not be construed as investment advice. Always conduct your own research or consult with a financial advisor before making investment decisions.
Strategy Tester [Cometreon]Strategy Tester is a powerful backtesting engine designed to evaluate and optimize trading strategies built with the Strategy Builder or signals triggered by the Signal Tester.
It provides a full-featured environment for assessing strategy performance across symbols and timeframes, offering smart tools for risk management, capital allocation, and alert handling.
Whether you're refining a custom strategy or validating signals, Strategy Tester helps you test with confidence and clarity.
🔷 Key Features
🟩 Multi-Symbol, Multi-Timeframe Testing
Easily test strategies across different assets and timeframes to understand how they behave in diverse market conditions.
🟩 Advanced Risk Management
Implement multiple Take Profit and Stop Loss combinations, break-even, trailing systems, and exit rules tailored to your style.
🟩 Flexible Session and Capital Settings
Customize trading hours, session windows, and initial capital allocation for ultra-precise testing scenarios.
🟩 Custom Alerts
Generate personalized alerts for entries, exits, and SL/TP adjustments to simulate real-time execution.
🔷 Technical Details and Customizable Inputs
1️⃣ Source Entry Long and Short - Select entry conditions for the strategy from the "Signal Tester" or "Strategy Builder".
2️⃣ Source Exit Long and Short - Select exit conditions for the strategy from the "Signal Tester" or "Strategy Builder".
3️⃣ Trading Session - Choose the period in which the strategy will enter positions, selecting from: Months, Days, up to 3 hourly sessions, and the strategy's activity range, i.e., start and end date.
4️⃣ Alert Message - Set custom messages for each type of Alert, such as Entry Long, Exit Short, or Change SL Long.
5️⃣ Plot - Choose whether to show Long and Short positions on the chart.
🔷 Risk Management Settings
1️⃣ Initial Capital - Set the starting capital for the strategy.
2️⃣ Quantity - Choose the entry quantity for each type of position, selecting from: Contracts, USD, Percentage of equity, or percentage of initial capital.
3️⃣ Take Profit - Configure up to 4 Take Profits using one of the following types:
%: Percentage from the entry price
USD: Distance in dollars
Pip: Distance in Pips
ATR: Based on ATR multiplier
Swing: Uses swing length
Risk Reward: Linked to Stop Loss or vice versa
4️⃣ Stop Loss - Set the SL using the same types as TP for maximum flexibility.
5️⃣ Break Even - Automatically modify SL when price hits a TP level, adjusting by % / USD / Pip from entry.
6️⃣ Trailing Take Profit - Activates a dynamic TP when a condition is met, updating it as price evolves (e.g., new highs).
7️⃣ Trailing Stop Loss - Updates SL automatically when the market moves in your favor (e.g., new lows in long trades).
8️⃣ Exit Before End Session - Exit positions a few candles before the session ends to avoid overnight risks.
🔍 How to Use Strategy Tester
🧩 Add the Indicator:
Load Strategy Tester onto your chart and connect it to any Cometreon signal generator.
⚙️ Configure Risk Settings:
Set up capital, risk, SL/TP parameters, and time filters to match your strategy profile.
🧪 Run the Test:
Execute the backtest and analyze the visual + data output for insight.
📊 Optimize and Repeat:
Adjust key parameters and re-run until your strategy achieves optimal performance.
☄️ Take your trading to the next level with TradeLab Beta's Strategy Tester this powerful backtesting tool and start optimizing your trading strategies today.
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Strategy Builder [Cometreon]Strategy Builder is a powerful tool that lets you create fully customized trading strategies directly within TradingView. With support for up to 5 entry conditions and 2 exit conditions, it gives you exceptional flexibility to build and refine your own trading logic—no coding required.
It’s the ideal choice for traders who want complete control over their signal structure and decision flow.
🔷 Key Features
🟩 Multi-Condition Strategy Creation
Design strategies using up to five entry conditions and two exit conditions to tailor behavior in any market scenario.
🟩 Total Indicator Freedom
Use any indicator on TradingView—including private and custom ones—to build your strategy inputs and triggers.
🟩 Smart Condition Management
Utilize advanced logic like previous-candle signals, confirmation filters, and multi-bar requirements to make your strategy more reactive and reliable.
🔷 Technical Details and Customizable Inputs
1️⃣ Activate Signal - Option to activate or deactivate the Long or Short condition.
2️⃣ Special Condition - Activate one of several advanced logic types:
Precedent Signal : Check the condition on a previous candle (e.g., 4 candles ago).
Check Signal : See if the condition occurred within a certain range (e.g., any of the last 6 candles).
[* ]Multiple Signal : Requires the condition to occur in several consecutive candles (e.g., 3 in a row).
Confirm Signal : Confirms that the condition has not occurred in a given range.
3️⃣ Source Long and Short - Choose the first value to compare, selecting any TradingView indicator—including Cometreon’s custom tools.
4️⃣ Type Long and Short - Define how the condition is calculated, with options like:
Cross Over Value
Cross Under Value
Greater Than
Lower Than
Equal To
Increase (vs previous candle)
Decrease
No Change
Change Value
5️⃣ Only First - Prevents repeated signals by ignoring the condition if it was already active in the previous candle.
6️⃣ Type Value - Sets the comparison value type:
Normal : Manually enter a fixed value (e.g., 20 or 50)
Choose : Select another indicator as the comparison value
🔍 How to Use Strategy Builder
⚙️ Define Conditions
Set your long and short entries using your favorite indicators and logic combinations.
📊 Configure Signal
Manage how and when signals are triggered using the advanced condition options provided.
🧪 Combine with Strategy Tester
Once configured, test your strategy directly on the chart or in real backtest mode with Strategy Tester.
☄️ Unlock the potential of your trading strategies with TradeLab Beta's Strategy Builder start creating customized strategies optimized for your trading goals.
Don't waste any more time and visit the link to get access to all Cometreon indicators.
Signal Tester [Cometreon]Signal Tester is a fast and intuitive tool designed to help you visualize and analyze up to 100 past trading signals directly on the TradingView chart. Whether your signals come from bots, communities, or your own strategies, this indicator is perfect for quick validation and real-time feedback.
🔷 Key Features
🟩 Visual Signal Mapping
Display long and short entries directly on your chart for clear, immediate analysis of signal behavior.
🟩 Multi-Timeframe Compatibility
Analyze how signals behave across different timeframes to identify strengths, weaknesses, and timing.
🟩 Universal Signal Input
Test signals coming from trading bots, private groups, external alerts, or manually built strategies.
🔷 Technical Details and Customizable Inputs
1️⃣ Position Selection - Choose up to 100 recent positions—both long and short—and plot them directly on your chart.
2️⃣ Data Entry - Easily define the date and type (Long or Short) for each position directly from the settings panel.
🔍 How to Use Signal Tester Pro
📥 Input Your Signals
Add your entries and exits manually in the indicator settings.
📊 Analyze on the Chart
Visualize each trade's placement in real historical context to evaluate timing and performance.
🔁 Connect with Strategy Tester
Use the generated signals as input for Strategy Tester Pro to backtest your trading logic with full control.
☄️ Start testing your trading signals now with TradeLab Beta's Signal Tester access this powerful tool and take your market analysis to the next level!
Don't waste any more time and visit the link to get access to all Cometreon indicators.
Mini PortfolioThis code is a simple portfolio tracker calculates the Net Asset Value (NAV) of a portfolio consisting of up to 6 tickers based on Binance prices. Users can input how much of each cryptocurrency they "own," and the script then fetches the opening price of each coin.
After calculating the values of BTC, ETH, and SOL, the code sums these individual values to determine the portfolio's total value, or NAV. This NAV is then plotted on a graph, allowing users to see the overall value of their selected cryptocurrency portfolio over time.
In essence, this code allows users to track the hypothetical value of a small crypto portfolio and see how price fluctuations affect the total portfolio value. It’s a useful tool for visualizing potential portfolio performance without actual investments.
