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Recently Viewed for TradingView Stocks, Cryptos and more. Your personal TradingView historical data TradingView History is a Chrome extension that helps you track your recently viewed assets on TradingView, including stocks, cryptocurrencies, and more. This powerful tool seamlessly integrates with TradingView, automatically logging every stock you view to create a comprehensive history of your market exploration. # TradingView History: Your Personal Market Insights Tracker 1. π Enhanced UI: Sleek, TradingView-inspired design for a seamless experience. 2. π Real-time KPIs: Instant insights into your market research habits. 3. π Interactive Charts: Visualize your viewing trends over time. 4. π Comprehensive Tracking: Now covering stocks, crypto, forex, and more! 5. β‘ Performance Boost: Faster loading times for your historical data. - Track your viewed symbols across TradingView's vast array of markets - Access your personal TradingView historical data with ease - Gain insights into your most viewed assets and active trading days - Seamlessly integrate with your TradingView workflow - Enhance your market analysis with personalized historical insights Perfect for traders and investors looking to leverage their TradingView historical data for better decision-making. Whether you're into stock trading, cryptocurrency analysis, or forex market tracking, TradingView History has you covered. Unlock the power of your browsing history on TradingView and transform it into actionable insights. Start optimizing your market research today! Download now and elevate your trading journey with personalized historical insights!
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.
Markets Guide: Meet TradingView Ultimate Power Extension
Master Trading and Technical Analysis with Markets Guide! π Master Trading and Technical Analysis with Markets Guide! π Experience TradingView like never before. Our AI-powered dashboard, strategy-driven lessons, and powerful technical analysis tools ensure you never miss a trading opportunity! π π₯ Real-Time Signals: Get instant buy and sell alerts using advanced analysis for indicators and candlestick patterns. π― Strategy-Driven Lessons: Learn from a variety of trading styles, including day trading, scalping, swing trading, and strategies for breakout, trend following, range trading, price action and more. π Extensive Learning: Dive into hundreds of lessons and trade replays to deepen your market knowledge. π₯οΈ Intuitive Dashboard: Easily navigate with our user-friendly interface. π Confluence Filter: Utilize our filter to identify trading signals that align in the same direction. So are you ready to become a top-tier trader? Simplify your market analysis and elevate your trading decisions with our comprehensive, AI-enhanced extension. Upgrade Your Trading Today with Markets Guide β¨
Tradingview Alerts Manager
Easily manage your TradingView alerts with this extension. Backup⦠Easily manage your TradingView alerts with this extension. Backup your alerts to a JSON/CSV file, restore or migrate them across devices, or delete all alerts with a single click. Simplify your alert management and keep your trading strategies organized and secure.
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.
