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HorizonAI is a AI tool designed to help you with your Pine Script coding 🎉 Introducing HorizonAI, the ultimate coding assistant for TradingView Pine Script 🎉 HorizonAI integrates into TradingView to create a seamless environment for creating indicators and strategies. Use an AI Powered Script Builder to craft custom strategies in a visual builder by dragging and dropping blocks. Connect blocks to easily create advanced strategies in minutes. HorizonAI Chat builds on top of the latest AI tools like ChatGPT, by specifically fine tuning the AI model the learn Pine Script code and the learn latest trading concepts. Concepts such as Smart Money Concepts, ICT Type Concepts, Fair Value Gaps (FVG), Order Blocks and a lot more. -------------------------------- FAQ ✅Can I try HorizonAI for free? HorizonAI is free to use, no credit card details needed on sign up. Start making strategies today! ✅How is this better than ChatGPT? HorizonAI is specifically fine tuned to be better at coding Pine Script. HorizonAI is also connected to a large knowledge base that is updated regularly to include all the latest trading concepts in addition to how to code them in Pine Script. ✅Do you need a ChatGPT Subscription? No, you don't need any subscription to ChatGPT or any other AI services.
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.
NEW Kai: 1-Click AI Trade Setup for Crypto, Stocks & Forex
Kai, your AI trading wizard, now with enhanced accuracy, deeper insights, and market coverage across crypto, stocks, and forex. Kai – Your Ultimate Trading AI Companion Meet Kai ("Ka.i."), the personal TradingView assistant powered by OpenAI's latest GPT technology. Kai guides you through every step of your trading analysis, helping you become a more confident, informed, and successful trader. • Enhance Your Trading Skills: Receive expert guidance tailored to your unique trading style. • Deep Chart Insights: Unlock actionable, data-driven insights from your TradingView charts. • Accelerate Your Analysis: Speed up your decision-making with fast, in-depth AI analysis. Easy Installation: Click "Add to Chrome" and pin Kai to your toolbar. Seamless Integration: Log into your TradingView account. Instant Analysis: Load your chart, ask Kai, and get a comprehensive analysis instantly. Kai offers a revolutionary approach to technical analysis by combining advanced AI, real-time data, and user-friendly design. It's completely free to download and use, with privacy and security as our top priorities. Get Started Now: Download Kai today and experience a game-changing tool that transforms your trading analysis! Need Help? For questions or suggestions, please email us at hi@tradingwizard.ai.
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.
