NewHorizon Optimizer

Faro

Save pages with highlighted taglines - Bookmark manager ⨯ web highlighter Chaos in your bookmarks? Can't find what you want? They end up gathering dust? Or you don't even try and end up with 100s of open tabs? Faro is made to fix that! It's the simplest way to save & keep track of pages. With it, even thousands of saves don't get overwhelming. When saving, you highlight a sentence to act as a tagline. It helps you remember what the page is about and why you saved it. If unsure - just save whatever sentence you're reading. All saves appear on your dashboard. They come most-recent-first by default, so you don't forget what you recently saved. You can pick up your reading where you left off - no need for a separate reading list. You can also pin & archive to further arrange it. Organize them with tags. Since you're reminded what you saved and why, you can do it later. It makes your saves much easier to manage than bookmarks. Faro supports nested tags (eg: recipes/vegan), so combines the best of tags and folders. Clicking a save takes you right back to your highlight - especially useful for longer articles. Also: ➣ export to bookmarks to keep them if you uninstall Faro ➣ copy links to highlights and share them or paste into Notion, Obsidian, etc. ℹ️ About your data: When installing you can read: "it can read and change all your data on all websites" The only information that ever gets uploaded (when signed in) when you use it to save: ➣ Open page address ➣ Saved highlight/quote - what's visible in the sidebar ➣ Timestamp ➣ Debug info e.g. errors The extension also keeps track the currently open tab for each window - to update the sidebar as you navigate - but doesn't save or upload that data.

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.

TVBacktestManager

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

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.