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[ CourseWikia.com ] USC.EDU - Practical Python for Algorithmic Trading

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种子名称： [ CourseWikia.com ] USC.EDU - Practical Python for Algorithmic Trading
文件类型：视频
文件数目： 27个文件
文件大小： 324.71 MB
收录时间： 2024-3-6 16:16
已经下载： 3次
资源热度： 41
最近下载： 2024-5-29 16:53

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CourseWikia com USC EDU - Practical Python for Algorithmic Trading

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[ CourseWikia.com ] USC.EDU - Practical Python for Algorithmic Trading.torrent

~Get Your Files Here !/01 - Introduction/01 - Algorithmic trading using machine learning.mp42.19MB

~Get Your Files Here !/01 - Introduction/02 - Maximize your learning.mp47.67MB

~Get Your Files Here !/02 - 1. Working with Stock Market Data/01 - Download and export data.mp416.98MB

~Get Your Files Here !/02 - 1. Working with Stock Market Data/02 - Filter rows and create columns for trading strategies.mp417.27MB

~Get Your Files Here !/03 - 2. Backtesting with Classification Models/01 - Compute machine learning classification model.mp425.65MB

~Get Your Files Here !/03 - 2. Backtesting with Classification Models/02 - First configurations of the strategy class.mp412.76MB

~Get Your Files Here !/03 - 2. Backtesting with Classification Models/03 - Simulate the investment strategy step by step.mp412.68MB

~Get Your Files Here !/03 - 2. Backtesting with Classification Models/04 - Run the backtest on the strategy.mp412.92MB

~Get Your Files Here !/03 - 2. Backtesting with Classification Models/05 - Challenge Backtest with other tickers.mp411.91MB

~Get Your Files Here !/04 - 3. Backtesting with Regression Models/01 - Compute machine learning regression model.mp48.96MB

~Get Your Files Here !/04 - 3. Backtesting with Regression Models/02 - How to evaluate regression models.mp412.21MB

~Get Your Files Here !/04 - 3. Backtesting with Regression Models/03 - Configure and run the backtest with the regression model.mp45.41MB

~Get Your Files Here !/04 - 3. Backtesting with Regression Models/04 - How to interpret the backtesting dashboard.mp415.86MB

~Get Your Files Here !/05 - 4. Backtesting Optimization/01 - Optimizing strategy parameters.mp413.5MB

~Get Your Files Here !/05 - 4. Backtesting Optimization/02 - Pandas reporting with heatmaps.mp47.46MB

~Get Your Files Here !/05 - 4. Backtesting Optimization/03 - Smart optimization to save computing time.mp412.89MB

~Get Your Files Here !/05 - 4. Backtesting Optimization/04 - Challenge Optimization with other datasets.mp411.23MB

~Get Your Files Here !/06 - 5. The Overfitting Problem in Backtesting/01 - Why machine learning models overfit the data.mp412.67MB

~Get Your Files Here !/06 - 5. The Overfitting Problem in Backtesting/02 - How to train models within the backtest.mp48.59MB

~Get Your Files Here !/06 - 5. The Overfitting Problem in Backtesting/03 - Challenge Train test with other tickers.mp49.87MB

~Get Your Files Here !/06 - 5. The Overfitting Problem in Backtesting/04 - Walk forward validation in machine learning.mp427.24MB

~Get Your Files Here !/06 - 5. The Overfitting Problem in Backtesting/05 - Anchored walk forward validation in backtesting.mp417.61MB

~Get Your Files Here !/06 - 5. The Overfitting Problem in Backtesting/06 - Create library for backtesting strategies.mp49.53MB

~Get Your Files Here !/06 - 5. The Overfitting Problem in Backtesting/07 - Interpret reports from walk forward validation approaches.mp43.01MB

~Get Your Files Here !/06 - 5. The Overfitting Problem in Backtesting/08 - Challenge Walk forward with other tickers.mp414.91MB

~Get Your Files Here !/07 - Conclusion/01 - Course summary.mp412.44MB

~Get Your Files Here !/07 - Conclusion/02 - What's next.mp41.31MB