Benchmark — Indicators and Strategies

Market Strength Buy Sell Indicator [TradeDots]A specialized tool designed to assist traders in evaluating market conditions through a multifaceted analysis of relative performance, beta-adjusted returns, momentum, and volume—allowing you to identify optimal points for long or short trades. By integrating multiple benchmarks (default S&P 500) and percentile-based thresholds, the script provides clear, actionable insights suitable for both day trading and higher-level timeframe assessments. 📝 HOW IT WORKS 1. Multi-Factor Composite Score Relative Performance (RS Ratio): Compares your asset’s performance to a chosen benchmark (default: SPY). Values above 1.0 indicate outperformance, while below 1.0 suggest underperformance. Beta-Adjusted Returns: Checks the ticker’s excess movement relative to expected market-related moves. This helps distinguish pure “alpha” from broad market effects. Volume & Correlation: Volume spikes often confirm the momentum behind a move, while correlation measures how closely the asset tracks or diverges from its benchmark. These components merge into a 0–100 composite score. Scores above 50 frequently imply bullish strength; drops below 50 often point to underperformance—potentially flagging short opportunities. 2. Intraday & Day Trading Focus Monitoring Below 50: During the trading day, the script calculates live data against the benchmark, offering an intraday-sensitive composite score. A dip under 50 may indicate a short bias for that session, especially when accompanied by high volume or momentum shifts. 3. Higher Timeframe Monitoring Daily Strategies: On daily or weekly charts, the script reveals overall relative strength or weakness compared to the S&P 500. This higher-level perspective helps form broader trading biases—crucial for swing or position trades spanning multiple days. Long/Short Thresholds: Persistent readings above 50 on a daily chart typically reinforce a long bias, while consistent dips below 50 can sustain a short or cautious outlook. 4. Pair Trading Applications Custom Benchmark Selection: By setting a specific ticker pair as your benchmark instead of the default S&P 500, you can identify spread trading opportunities between two correlated assets. This allows you to go long the outperforming asset while shorting the underperforming one when the spread reaches extreme levels. 4. Color-Coded Signals & Alerts Visual Zones (25–75): Color-coded bands highlight strong outperformance (above 75) or pronounced underperformance (below 25). Alerts on Strong Shifts: Automatic alerts can notify you of sudden entries or exits from bullish or bearish zones, so you can potentially act on new market information without delay. ⚙️ HOW TO USE 1. Select Your Timeframe: For scalping or day trading, lower intervals (e.g., 5-minute) offer immediate data resets at the session’s start. For multi-day insight, daily or weekly charts reveal broader performance trends.  2. Watch Key Levels Around 50: Intraday dips under 50 may be a cue to consider short trades, while bounces above 50 can confirm renewed strength. 3. Assess Benchmark Relationships: Compare your asset’s score and signals to the broader market. A stock falling below its pair’s relative strength line might lag overall market momentum. 4. Combine Tools & Validate: This script excels when integrated with other technical analysis methods (e.g., support/resistance, chart patterns) and fundamental factors for a holistic market view. ❗ LIMITATIONS No Direction Guarantee: The indicator identifies relative strength but does not guarantee directional price moves. Delayed Updates: Since calculations update after each bar close, sudden intrabar changes may not immediately reflect. Market-Specific Behaviors: Some assets or unusual market conditions may deviate from typical benchmarks, weakening signal reliability. Past ≠ Future: High or low relative strength in the past may not predict continued performance. RISK DISCLAIMER All forms of trading and investing involve risk, including the possible loss of principal. This indicator analyzes relative performance but cannot assure profits or eliminate losses. Past performance of any strategy does not guarantee future results. Always combine analysis with proper risk management and your broader trading plan. Consult a licensed financial advisor if you are unsure of your individual risk tolerance or investment objectives.

Custom Index Composite Custom Index Composite calculates an unweighted composite index by averaging the daily returns of multiple stock tickers. Instead of using price-level weighting, it focuses solely on percentage change, allowing you to compare diverse market themes side by side on a common basis. Why Use a Custom Index Composite? Unlike traditional indices that often lean on market capitalization or price-level data, a custom composite based solely on returns strips out the bias inherent to high-priced stocks. This provides several benefits: Objective Cross-Comparison: When stocks or market themes trade at very different price levels, it can be difficult to assess performance objectively. Using percentage returns, the composite creates an even playing field, enabling a clear comparison between different assets or themes. Tailored Benchmarking: By selecting and combining specific tickers, you can create benchmarks that better represent the segments or strategies you’re interested in. This is particularly useful when standard indices do not capture the nuances of your investment approach. Performance Normalization: Converting raw price data into daily percentage returns minimizes distortions that arise from price differences. This normalization helps in understanding true performance trends across the chosen tickers, making the composite index a more reliable gauge of relative market movement. Custom Analysis Framework: The indicator offers flexibility to adjust the lookback period (defaulting to about 3 months) so you can fine-tune the sensitivity of the index to recent market behavior. This enables you to either smooth out volatility or capture a more immediate trend, depending on your analytical needs. Key Features: Configurable Appearance: You can easily configure the line color, line width, index name, and index name color via the options panel. Ticker Configuration: By default, you can enter up to 15 different tickers into the composite index. Technically, the indicator supports up to 40 tickers (these additional inputs are commented out by default to maintain performance), and you may enable them individually if required. Calculated Bars Length: The indicator uses a “Calculated bars length” setting, which is set by default to 63 days (approximately 3 months). This value can be adjusted, and it is recommended to use the greatest common denominator for consistent analysis. How To Configure Your Chart: Add the Indicator: Place the Custom Index Composite on your chart. Disable Main Symbol Visibility: Hide the primary symbol’s plot and set its scale to “None” to prevent interference with the composite display. Pin to Right Scale: Set the scale of the first composite indicator to “Pinned to right scale.” This helps maintain consistency across different composite indicators. Add Multiple Composites: You can add additional composite indicators and set their scales to “Pinned to right scale” (or alternatively to “A”) for convenient comparison. Limitations: If a ticker symbol is set once in the options, it cannot be cleared to an empty value later. As a result, the symbol will continue to appear in the indicator’s title on the chart. The only way to remove an unwanted symbol is to completely reset the settings and re-enter your desired tickers.

Relative Performance Indicator by ComLucro - 2025_V01 The "Relative Performance Indicator by ComLucro - 2025_V01" is a powerful tool designed to analyze an asset's performance relative to a benchmark index over multiple timeframes. This indicator provides traders with a clear view of how their chosen asset compares to a market index in short, medium, and long-term periods. Key Features: Customizable Lookback Periods: Analyze performance across three adjustable periods (default: 20, 50, and 200 bars). Relative Performance Analysis: Calculate and visualize the difference in percentage performance between the asset and the benchmark index. Dynamic Summary Label: Displays a detailed breakdown of the asset's and index's performance for the latest bar. User-Friendly Interface: Includes customizable colors and display options for clear visualization. How It Works: The script fetches closing prices of both the asset and a benchmark index. It calculates percentage changes over the selected lookback periods. The indicator then computes the relative performance difference between the asset and the index, plotting it on the chart for easy trend analysis. Who Is This For?: Traders and investors who want to compare an asset’s performance against a benchmark index. Those looking to identify trends and deviations between an asset and the broader market. Disclaimer: This tool is for educational purposes only and does not constitute financial or trading advice. Always use it alongside proper risk management strategies and backtest thoroughly before applying it to live trading. Chart Recommendation: Use this script on clean charts for better clarity. Combine it with other technical indicators like moving averages or trendlines to enhance your analysis. Ensure you adjust the lookback periods to match your trading style and the timeframe of your analysis. Additional Notes: For optimal performance, ensure the benchmark index's data is available on your TradingView subscription. The script uses fallback mechanisms to avoid interruptions when index data is unavailable. Always validate the settings and test them to suit your trading strategy.

Normalized Performance Comparison This script visualizes the relative performance of a primary asset against a benchmark composed of three reference assets. Here's how it works: User Inputs: - Users specify ticker symbols for three reference assets (default: Platinum, Palladium, Rhodium). Data Retrieval: - Fetches closing prices for the primary asset (the one the script is applied to) and the three reference assets. Normalization: - Each asset's price is normalized by dividing its current price by its initial price at the start of the chart. This allows for performance comparison on a common scale. Benchmark Creation: - The normalized prices of the three reference assets are combined to create a composite benchmark. Ratio Calculation: - Computes the ratio of the normalized primary asset price to the combined normalized benchmark price, highlighting relative performance. Plotting: - Plots this ratio as a blue line on the chart, showing the primary asset's performance relative to the benchmark over time. This script helps users quickly assess how well the primary asset is performing compared to a set of reference assets.

bench Library "bench" A simple banchmark library to analyse script performance and bottlenecks. Very useful if you are developing an overly complex application in Pine Script, or trying to optimise a library / function / algorithm... Supports artificial looping benchmarks (of fast functions) Supports integrated linear benchmarks (of expensive scripts) One important thing to note is that the Pine Script compiler will completely ignore any calculations that do not eventually produce chart output. Therefore, if you are performing an artificial benchmark you will need to use the bench.reference(value) function to ensure the calculations are executed. Please check the examples towards the bottom of the script. Quick Reference (Be warned this uses non-standard space characters to get the line indentation to work in the description!) ``` // Looping benchmark style benchmark = bench.new(samples = 500, loops = 5000) data = array.new_int() if bench.start(benchmark) while bench.loop(benchmark) array.unshift(data, timenow) bench.mark(benchmark) while bench.loop(benchmark) array.unshift(data, timenow) bench.mark(benchmark) while bench.loop(benchmark) array.unshift(data, timenow) bench.stop(benchmark) bench.reference(array.get(data, 0)) bench.report(benchmark, '1x array.unshift()') // Linear benchmark style benchmark = bench.new() data = array.new_int() bench.start(benchmark) for i = 0 to 1000 array.unshift(data, timenow) bench.mark(benchmark) for i = 0 to 1000 array.unshift(data, timenow) bench.stop(benchmark) bench.reference(array.get(data, 0)) bench.report(benchmark,'1000x array.unshift()') ``` Detailed Interface new(samples, loops) Initialises a new benchmark array Parameters: samples : int, the number of bars in which to collect samples loops : int, the number of loops to execute within each sample Returns: int , the benchmark array active(benchmark) Determing if the benchmarks state is active Parameters: benchmark : int , the benchmark array Returns: bool, true only if the state is active start(benchmark) Start recording a benchmark from this point Parameters: benchmark : int , the benchmark array Returns: bool, true only if the benchmark is unfinished loop(benchmark) Returns true until call count exceeds bench.new(loop) variable Parameters: benchmark : int , the benchmark array Returns: bool, true while looping reference(number, string) Add a compiler reference to the chart so the calculations don't get optimised away Parameters: number : float, a numeric value to reference string : string, a string value to reference mark(benchmark, number, string) Marks the end of one recorded interval and the start of the next Parameters: benchmark : int , the benchmark array number : float, a numeric value to reference string : string, a string value to reference stop(benchmark, number, string) Stop the benchmark, ending the final interval Parameters: benchmark : int , the benchmark array number : float, a numeric value to reference string : string, a string value to reference report(Prints, benchmark, title, text_size, position) Parameters: Prints : the benchmarks results to the screen benchmark : int , the benchmark array title : string, add a custom title to the report text_size : string, the text size of the log console (global size vars) position : string, the position of the log console (global position vars) unittest_bench(case) Cache module unit tests, for inclusion in parent script test suite. Usage: bench.unittest_bench(__ASSERTS) Parameters: case : string , the current test case and array of previous unit tests (__ASSERTS) unittest(verbose) Run the bench module unit tests as a stand alone. Usage: bench.unittest() Parameters: verbose : bool, optionally disable the full report to only display failures

Does your trading pass the seasonality test?Are you consistently beating the standard "Buy and Hold" benchmark? Check your performance against the next most common strategy: Buy at the start of the holiday season and close in the new year. By default, the strategy starts with $100,000 and risks 25% of the account on each swing trade. Commission is set to be 0.5% of each trade. You can tweak the direction of trades by adjusting the first setting. Tweak the holding period by changing the Entry and Exit months. Red plot: Balance of account Orange plot: Equity of account

BETA (against any benchmark index - defaulted to NSE:NIFTY)Beta value of a stock relative to benchmark index. Thanks to Ricardo Santos for the original script. This script is adapted from it. To understand beta, refer Investopedia link: www.investopedia.com A beta value of 1 means the stock is directly correlated to benchmark index - volatility would be same as overall market. Beta value less than 1 and greater than 0 means the stock is less volatile than the market. Beta value more than 1 would mean the stock is more volatile than the market. A beta value of 1.2 would roughly translate to the stock being 20% more volatile than the overall market. A negative beta value indicates the stock is inversely correlated to market. In the example chart, you can see the Beta value change in NSE:RELIANCE with respect to NSE:NIFTY.