Tradingview assistant
用户量:402大小:136KiB版本:v 1.2更新时间:2021-12-21
An assistant for backtesting trading strategies and showing external signals in Tradingview
Tradingview assistant 的使用方法详解,最全面的教程
Tradingview assistant 描述:
用户数:402
分类:生产工具插件
扩展大小:136 KiB
最后更新时间:2021-12-21
版本:v 1.2
Tradingview assistant 插件简介:
这是来自Chrome商店的 Tradingview assistant 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。
Tradingview assistant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。
Tradingview assistant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 checking (showing) external signals in Tradingview.
Functionality
1. Upload external signals to Tradingview chart
Loading external buy or sell signals by timestamps from a CSV file
2. 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






