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This is a TradingView extension to Automate any strategy & send alerts to ALGOSYS. Using this extension can place order directly from the TradingView chart to your favourite broker using manual BUY SELL SHORT COVER buttons. This Algosys TradingView Extention can also work with the free version of TradingView too. For more details visit https://algosys.co.in or send mail to info@algosys.co.in
eBacktesting.com (TradingView extension)
eBacktesting adds a complete backtesting and journaling system on top of TradingView, similar to replay mode but turned into a full trading simulator. The extension introduces an extra toolbar with intuitive replay controls, detailed trade journaling, session management, and customizable columns — all directly inside your TradingView charts, without changing how TradingView’s replay itself works. It also solves a major limitation of TradingView’s replay: when switching timeframes, it prevents unintended future candle previews, keeping your backtests realistic and unspoiled. Step-by-step, fast-forward, and play/pause replay controls, A detailed journal with trade entries, exits, snapshots, risk, profit, drawdown, and run-up tracking, Independent session management to pause and resume different backtests, Full visual and data-driven review of your trading performance. eBacktesting makes backtesting faster, cleaner, and more accurate — all within your TradingView environment.
TradeSage - TradingView Enhancement Suite
Your trading copilot with ChatGPT Pine Script generator TradeSage is your trading copilot, bringing you the power of ChatGPT optimized specifically for traders and Pine Script code generation as well as a plethora of convenience features including screener notifications and strategy optimizer. 💻 Generate Pine Script indicators/strategies in seconds. ⏮️ Optimize your strategy and find the most profitable inputs with ease ✍️ Inline Pine Script edits: apply changes to any existing script by simply explaining the changes you need, in plain English ✅ Fix Pine Script errors with the click of a button within the editor 📚 Learn with TradeSage: our AI can act as your learning buddy as you dive deeper into your trading journey. 🚨 Screener Alerts: get desktop notifications when a new symbol shows up on your active screener. 📖 Frequently Asked Questions: ❓ What search engines are supported by you? 🟢 Currently, we support Google, Bing and other search engines, and more search engines will be supported in the future. ❓ Do I need a ChatGPT/OpenAI account? 🟢 No, you only need to create a free account through our extension ❓ ChatGPT is banned in my country. Does it work in my country? 🟢 Yes. Our extension works in all countries. ❓ Is it free to use? 🟢 Yes, you get limited credits on sign up for free. For unlimited access, you can choose the Premium Plan. ❓ How is this better than ChatGPT Plus? 🟢 Our product leverages an advanced version of GPT-4, meticulously optimized with contextual understanding and precision-tuning. This ensures the delivery of more reliable outcomes, free from syntax errors— a notable advancement beyond the capabilities of ChatGPT Plus. Any questions or suggestions? Please contact us at hellotradesage@gmail.com © 2024 TradeSage. Made with ❤️ in 🇨🇦
TradingView Strategy Tester
A Chrome extension to test TradingView strategies with custom inputs. 🚀 Exploring the TradingView Strategy Tester Extension for Multiple Pairs and Multiple Timeframes 📈 When building a strategy in TradingView, it’s 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 🌍💱 and the five most popular timeframes ⏳ for each pair. This is where the Strategy Tester Extension for Multiple Pairs and Multiple Timeframes steps in! 🔍 This extension is designed to scan all data across selected pairs and timeframes, providing a comprehensive overview of performance metrics 📊. Key data it includes: 💰 Net Profit: Measures the total profitability of the strategy. 📉 Closed Trades: Shows the number of completed trades, which helps gauge trading frequency and potential for overtrading. 🏆 Win Rate: Tracks the percentage of successful trades, an important indicator of strategy reliability. ⚠️ Max Drawdown: Measures the largest peak-to-trough decline in equity, helping to assess risk. With this data, you’ll no longer miss potential opportunities to identify the most profitable pair and timeframe combinations for your strategy 🌟. The extension enables efficient scanning across multiple pairs and timeframes, helping you identify the setups that yield the best results with your strategy 💪📉💹. Let me know if you need further details or additional content on any specific aspect of the extension! 📬
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.