Strategy Helper

生产工具插件大小: 1.44MiB版本: v 1.25更新时间: 2021-12-21
大小:1.44MiB版本:v 1.25更新时间:2021-12-21

An assistant for optimising & backtesting trading strategies in Tradingview

Strategy Helper 的使用方法详解,最全面的教程


Strategy Helper 描述:

用户数:6000

分类:生产工具插件

扩展大小:1.44 MiB

最后更新时间:2021-12-21

版本:v 1.25


Strategy Helper 插件简介:

这是来自Chrome商店的 Strategy Helper 浏览器插件,您可以在当前页面下载它的最新版本安装文件,并安装在Chrome、Edge等浏览器上。


Strategy Helper插件下载方法/流程:

点击下载按钮,关注“扩展迷Extfans”公众号并获取验证码,在网页弹窗中输入验证码,即可下载最新安装文件。


Strategy Helper插件安装教程/方法:

(1)将扩展迷上下载的安装包文件(.zip)解压为文件夹,其中类型为“crx”的文件就是接下来需要用到的安装文件

(2) 从设置->更多工具->扩展程序 打开扩展程序页面,或者地址栏输入 Chrome://extensions/ 按下回车打开扩展程序页面

(3) 打开扩展程序页面的“开发者模式”

(4) 将crx文件拖拽到扩展程序页面,

完成安装如有其它安装问题,

请扫描网站底部二维码与客服联系如有疑问请参考:

https://www.extfans.com/installation/
An 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. 2. Upload external signals to Tradingview chart Loading external buy or sell signals by timestamps from a CSV file Optimization Methods 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) Declaimer. 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.

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