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Simplify TradingView Backtesting with TVBacktestManager. Automatically test, optimize, and record strategy results directly to… Simplify TradingView Backtesting with TVBacktestManager. Automatically test, optimize, and record strategy results directly to Google Sheets. Save time analyzing strategies. Visualize your data in 3D. Automate your backtesting workflow. Take back your edge with TVBacktestManager today! Features: -Seamless TradingView Integration Lightweight browser extension connects directly to your TradingView Strategy Tester. No API keys or account credentials required. -Automatic Google Sheets Export Instantly export every test result to your connected Google Sheet for easy tracking, analysis, and comparison. (Set your Google Sheet ID and tab name under the Tools tab — same setup as TVAlertsManager.) -Strategy Optimization Parameters Define optimization targets such as Net Profit, Win Rate, Total Trades, and more. Sort results by Random, Max, or Min values to find optimal configurations automatically. -Multi-Timeframe Backtesting Test strategies across multiple timeframes at once (e.g., 1m, 5m, 15m) and automatically record all results. Recommended cycle range: 100–200 per test. -Batch Testing & Parameter Cycling Use the Cycles setting to test multiple combinations of strategy parameters (e.g., Max Intraday Loss %, Inputs, etc.). Each cycle runs automatically — no manual clicking required. -Visual 3D Charting View backtest results as a fully interactive 3D surface chart. Analyze how different parameters interact to affect profitability, win rate, or drawdown. -Filtering & Performance Highlighting Filter best results by any metric (e.g., Net Profit > X, Total Trades
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.
TradingView AutoBacktester - Tradingade
Automatically collects backtesting data from your strategies by scrolling through your watchlist and timeframes. This extension is designed to automatically scroll through your tradingview watchlist, switch between various timeframes, and collect essential backtesting results such as net profit, drawdown, total trades, and more to help you evaluate your trading strategies quickly and efficiently. You can also easily sort your data by any parameter and quickly copy/paste results into spreadsheets. Automated Backtesting: Automatically process all symbols in your watchlist, even in background mode, while you're doing other tasks. Multi-Timeframe: Switch between any timeframes to test your strategy thoroughly across different scenarios. Watchlist Settings: Choose between processing your entire watchlist or a custom selection of symbols. Sorting: Sort backtest results by net profit, total trades, win rate, drawdown, or any metric you prefer, enabling quick identification of high-performance setups. Data Export: Quickly copy and paste your backtesting results into spreadsheets for detailed analysis. Strategy Links: Generate links to your TradingView strategies, allowing you to quickly open a strategy by clicking on the backtest result Search mode: Quickly search and filter symbols or timeframes within your results. Enhance your trading workflow by reducing manual effort and gaining faster insights into your strategies. Perfect for both novice and experienced traders, this extension transforms the way you backtest on TradingView! DISCLAIMER This extension is designed to reduce manual tasks on TradingView by emulating user actions and parsing data displayed in its interface. The extension does not interact with TradingView's servers. If the interface changes, the extension may stop working or show errors. The developer is not responsible for any violations of TradingView's usage rules by the user.
TradingView Supercharged - TradingView Strategy Optimizer
The ultimate TradingView Strategy Optimizer - Supercharge your trading with parameter optimization! Stop guessing—start optimizing with TradingView Supacharged. Built by Pineify (Best Pine Script Generator), this is a purpose-built tool to optimize TradingView strategies with speed and precision. 🎯 Let data lead your decisions. TradingView Supacharged identifies the best-performing parameter sets for your Pine Script strategies, streamlining both backtesting and live decision-making. ✨ Key Features 🚀 Automated Testing: Rapidly evaluate thousands of parameter combinations. 🛠 Comprehensive Optimization: Tune Pine Script inputs including number, checkbox, and select with full flexibility. 🕛 Supported intervals: You can use interval as one of the adjustable parameters to test how different parameters perform across various cycles. 📊 Performance Analysis: Compare strategy outcomes across settings to pinpoint winners. 📁 Data Management: Export and save optimization results for future review and sharing. 🔗 Seamless Integration: Works naturally with TradingView’s interface—no friction. 👥 Perfect For Pine Script Developers: Eliminate manual tweaking and boost iteration speed. Algorithmic Traders: Improve performance with precisely calibrated parameters. Technical Analysts: Validate and lock in the most effective indicator settings. TradingView Users: Optimize without extra coding. Compatibility & Ease Compatible with all TradingView charts and Pine Script strategies. No extra coding—just smarter trading. 💡 Why TradingView Supacharged? Find the Best Parameters Faster: Zero in on the right settings for your strategy. Save Time: Offload tedious trial-and-error to automation. Trade with Confidence: Make decisions backed by clear results and insights. Own your strategy—download TradingView Supacharged and accelerate success through optimization today! 🚀 2016.01.11: v1.4.0 Relase: - In the backtest results, Params will display all parameter data of the current Inputs - Fix the issue where deep backtesting does not take effect 2025.12.30: Fix the bug 🐛 2026.01.20: Experience optimization 2026.02.07: Fix the bug 🐛 2026.03.22: Experience optimization
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.
