Python backtesting optimization：用Python投資加密貨幣：三年20倍的策略參數最佳化（Part 7）
用Python投資加密貨幣：三年20倍的策略參數最佳化（Part 7）
暴力枚舉.你可能以為要寫for迴圈，但其實backtesting已經幫你寫好了，我們只要將參數範圍傳入bt.optimize，就可以了，非常方便：result2=bt.optimize(n1=range(5 ...。其他文章還包含有：「02-backtesting」、「backtesting.backtestingAPIdocumentation」、「EasyTradingStrategyOptimizationwithbacktesting.py...」、「MasteringVectorBTBacktestingandOptimization」、「ParameterHeatmap&Optimization」、「Walk-ForwardO...
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02-backtesting
https://github.com
Supported files and code examples for my futures.io webinars series - futuresio-webinars/02-backtesting-and-optimization.ipynb at master ...
backtesting.backtesting API documentation
https://kernc.github.io
Upon initialization, call method Backtest.run() to run a backtest instance, or Backtest.optimize() to optimize it. Initialize a backtest. Requires data and a ...
Easy Trading Strategy Optimization with backtesting.py ...
https://medium.com
Python backtesting libraries like backtrader, zipline or backtesting.py come with a built-in optimization engine that finds the optimal ...
Mastering VectorBT Backtesting and Optimization
https://www.marketcalls.in
VectorBT is an advanced backtesting library designed for Python programmers and quantitative analysts. It is particularly beneficial for ...
Parameter Heatmap & Optimization
https://kernc.github.io
This tutorial will show how to optimize strategies with multiple parameters and how to examine and reason about optimization results.
Walk-Forward Optimization in Python
https://mayerkrebs.com
For this, we will use the Backtesting library's optimize() method. This method will run the backtest for all the combinations of the parameters passed to it. bt ...
最佳化股票交易策略─Python筆記
https://hackmd.io
上一篇文章我們完成了使用 Backtesting.py 模組做的個股基本交易策略回測程式，其中用的是常見的均線交錯判定買/賣點，而在本篇當中，我們要嘗試使用模組中 ...