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A Chrome extension to test TradingView strategies with custom inputs. π Exploring the TradingView Strategy Tester Extension for Multiple Pairs and Multiple Timeframes π When building a strategy in TradingView, itβs common to test it on one or two pairs and a few different timeframes. However, it's often time-consuming and impractical to thoroughly test across all 35 currency pairs ππ± and the five most popular timeframes β³ for each pair. This is where the Strategy Tester Extension for Multiple Pairs and Multiple Timeframes steps in! π This extension is designed to scan all data across selected pairs and timeframes, providing a comprehensive overview of performance metrics π. Key data it includes: π° Net Profit: Measures the total profitability of the strategy. π Closed Trades: Shows the number of completed trades, which helps gauge trading frequency and potential for overtrading. π Win Rate: Tracks the percentage of successful trades, an important indicator of strategy reliability. β οΈ Max Drawdown: Measures the largest peak-to-trough decline in equity, helping to assess risk. With this data, youβll no longer miss potential opportunities to identify the most profitable pair and timeframe combinations for your strategy π. The extension enables efficient scanning across multiple pairs and timeframes, helping you identify the setups that yield the best results with your strategy πͺππΉ. Let me know if you need further details or additional content on any specific aspect of the extension! π¬
TradeSearcher - TradingView Strategies Finder
This extension allows you to find the best trading strategies for your favorite symbols on TradingView. This extension allows you to automatically find the best TradingView strategies for any symbol (cryptocurrency, stocks, futures, forex) in TradingView and apply it to your chart easily. More than 100 000+ backtests for 1000+ symbols referenced in our database.
Pine Optimizer
Pine Optimizer is the ultimate accessory for serious TradingView users who want to tune their trading strategies for maximum profit and minimum risk. Pine Optimizer is a web-based app that you open in your browser, just like any regular website. At the same time, you open TradingView in another browser tab. You'll also need to install the Pine Optimizer Chrome extension, which lets the two browser tabs communicate with each other. When you use Pine Optimizer, it silently sends instructions to the TradingView tab, to execute the kind of charting operations that you usually do manually. For example, when you optimize a strategy, you'll typically want to execute a separate backtest for each permutation of its strategy parameter values. Optimizing any trading strategy could entail many backtests, and doing it manually might take forever. But, with Pine Optimizer, it's completely automated. Just launch your optimization and then sit back and relax, while Pine Optimizer and TradingView do the heavy lifting. When all the backtesting is complete, Pine Optimizer harvests the results from TradingView and presents them to you in a single-screen format that highlights the highest performing strategy settings. It also provides many secondary insights that will help you to identify further optimization opportunities. The Pine Optimizer website includes comprehensive user documentation and a full video tutorial series, to help you get started. In less than an hour, you'll progress from complete beginner to expert strategy optimizer.
Tradingview assistant
An assistant for backtesting trading strategies and showing external signals in Tradingview Functionality 1. Backtesting trading strategies, optimisation of the strategy's parameters: * automatic getting a list of parameters and their types (numeric, lists and checkboxes are supported) * generation of the testing range according to the rule: the beginning value is 2 times less than the current one, the end is 2 times more than the current one. * saving the generated parameters of testing a trading strategy for their correction as a template in a file in CSV format * Loading adjusted parameter ranges from a CSV file * Configuring the optimization model: * Choosing the type of optimization: searching for the maximum or minimum values * Selecting an optimized value from the entire list of strategy results in Tradingview (Net Profit, Ratio Avg Win / Avg Loss, Sharpe Ratio, Sortino Ratio, etc.) * Choosing a search strategy in the parameter space(random, sequential, annealing method) * Filtering of unsuitable results. For example, the number of tradings is less than necessary * Setting the number of cycles to search for parameters. * Performing automatic selection of parameters with storing all the results in the browser storage and the ability to save them as CSV files after testing, including in case of an error or page reloading * Showing backtesting results on 3d chart to analyze the effect of various parameters on the result. The sequential improvements optimization method is implement adjusting the best value already found. It does not perform a complete search of the entire parameter space. The logic of it work is as follows. The current best state (parameters for max results) is taken. The first parameter is taken and all its values in the range are checked sequentially. If the best result is found, then further verification is carried out from this state. Then the next parameter is taken and all its values in the range are checked and etc. The brute force optimization method implement backtesting all values in strategy space of parameters. The annealing method is an optimization method in which the search for the maximum possible result is carried out in fewer steps https://en.wikipedia.org/wiki/Simulated_annealing The method works this way: first, the best state and its parameters are determined. One parameter is randomly determined, then its value from range of possible values is randomly selected. The status in this value is checked. If it is better, then it is remembered and further parameter changes are made from it. As the number of tests increases, the spread of parameter values decreases around those already found. That is, if at the beginning of testing the values are randomly selected from the entire range of possible parameter values, then as optimization is carried out, this spread decreases ("cools down") near current values. So in first phase of test - this method is search the most possible state around all space on the finish stage this method trying to improve found best state. So that the system does not get stuck in one parameter area, as it happens with the sequential method, not one random parameter changes periodically, but all at once. The random improvements method is the simplest. One parameter is randomly determined and then a value is randomly selected for it from the entire range of possible values. If the condition is better, then it is remembered. And then the parameters from this state are randomly changed. The random method - always selects random values for all parameters at once (default) This extension is open source and aims to reduce the manual operations of users when working with the Tradingview by implementing the technology of emulation of user actions. At the same time, parsing of the data displayed by the Tradingview's UI is used to obtain data. Extension do not interact with the Tradingview servers. If the interface changes, the extension may stop working and give errors. The developer is not responsible for any possible violation by the user of the extension of the rules for using the Tradingview.
The Optimiser - TradingView Strategies
Optimise TradingView Strategies An assistant for optimising (Optimize) & backtesting trading strategies in Tradingview Optimise TradingView Strategies An assistant for optimising & backtesting trading strategies in Tradingview. An optimizing assistant for backtesting trading strategies and showing external signals in Tradingview An assistant for backtesting trading strategies and checking (showing) external signals in Tradingview. Functionality 1. Backtesting trading strategies, optimisation of the strategy's parameters: * automatic getting a list of parameters and their types (numeric, lists and checkboxes are supported) * generation of the testing range according to the rule: the beginning value is 2 times less than the current one, the end is 2 times more than the current one. * saving the generated parameters of testing a trading strategy for their correction as a template in a file in CSV format * Loading adjusted parameter ranges from a CSV file * Configuring the optimisation model: * Choosing the type of optimisation: searching for the maximum or minimum values * Selecting an optimised value from the entire list of strategy results in Tradingview (Net Profit, Ratio Avg Win / Avg Loss, Sharpe Ratio, Sortino Ratio, etc.) * Choosing a search strategy in the parameter space(random, sequential, annealing method) * Filtering of unsuitable results. For example, the number of tradings is less than necessary * Setting the number of cycles to search for parameters. * Performing automatic selection of parameters with storing all the results in the browser storage and the ability to save them as CSV files after testing, including in case of an error or page reloading * Showing backtesting results on 3d chartto analyze the effect of various parameters on the result. The sequential improvements optimization method is implement adjusting the best value already found. It does not perform a complete search of the entire parameter space. The logic of it work is as follows. The current best state (parameters for max results) is taken. The first parameter is taken and all its values in the range are checked sequentially. If the best result is found, then further verification is carried out from this state. Then the next parameter is taken and all its values in the range are checked and etc. The brute force optimization method implement backtesting all values in strategy space of parameters. The annealing method is an optimization method in which the search for the maximum possible result is carried out in fewer steps https://en.wikipedia.org/wiki/Simulated_annealing The method works this way: first, the best state and its parameters are determined. One parameter is randomly determined, then its value from range of possible values is randomly selected. The status in this value is checked. If it is better, then it is remembered and further parameter changes are made from it. As the number of tests increases, the spread of parameter values decreases around those already found. That is, if at the beginning of testing the values are randomly selected from the entire range of possible parameter values, then as optimization is carried out, this spread decreases ("cools down") near current values. So in first phase of test - this method is search the most possible state around all space on the finish stage this method trying to improve found best state. So that the system does not get stuck in one parameter area, as it happens with the sequential method, not one random parameter changes periodically, but all at once. The random improvements method is the simplest. One parameter is randomly determined and then a value is randomly selected for it from the entire range of possible values. If the condition is better, then it is remembered. And then the parameters from this state are randomly changed. The random method - always selects random values for all parameters at once (default) This extension is open source and aims to reduce the manual operations of users when working with the Tradingview by implementing the technology of emulation of user actions. At the same time, parsing of the data displayed by the Tradingview's UI is used to obtain data. Extension do not interact with the Tradingview servers. If the interface changes, the extension may stop working and give errors. The developer is not responsible for any possible violation by the user of the extension of the rules for using Tradingview. We are committed to transparency and responsible marketing. Our extension uses affiliate programs to support its development and provide enhanced features. Before installation and in our user interface, we want to inform you that we have partnerships with several affiliate platforms. These include ByBit, OKX, BingX, and BitGet. Participation in these programs helps us continue improving our service for you. For more details, please visit our Chrome Web Store page. 1.4.1 * Added in & out of sample testing. Only for users with deep testing on TradingView. 1.4.6 * fixed a few updates * added in and out of sample testing 1.5.6 * Updates for the placeholders on TradingView 1.5.8 * Removed the uploads of CSV feature. Fixed all errors for the Tradingview UI update. Fixed all errors for the Tradingview UI update. Fixed all updates for TV UI updates. Added X sentiment.
