Practical Python for Algorithmic Trading

Files Included :

01 - Algorithmic trading using machine learning.mp4 (2.19 MB)
MP4
02 - Maximize your learning.mp4 (7.67 MB)
MP4
01 - Download and export data.mp4 (16.98 MB)
MP4
02 - Filter rows and create columns for trading strategies.mp4 (17.27 MB)
MP4
01 - Compute machine learning classification model.mp4 (25.65 MB)
MP4
02 - First configurations of the strategy class.mp4 (12.76 MB)
MP4
03 - Simulate the investment strategy step by step.mp4 (12.68 MB)
MP4
04 - Run the backtest on the strategy.mp4 (12.92 MB)
MP4
05 - Challenge Backtest with other tickers.mp4 (11.91 MB)
MP4
01 - Compute machine learning regression model.mp4 (8.96 MB)
MP4
02 - How to evaluate regression models.mp4 (12.21 MB)
MP4
03 - Configure and run the backtest with the regression model.mp4 (5.41 MB)
MP4
04 - How to interpret the backtesting dashboard.mp4 (15.86 MB)
MP4
01 - Optimizing strategy parameters.mp4 (13.5 MB)
MP4
02 - Pandas reporting with heatmaps.mp4 (7.46 MB)
MP4
03 - Smart optimization to save computing time.mp4 (357 B)
MP4
04 - Challenge Optimization with other datasets.mp4 (11.23 MB)
MP4
01 - Why machine learning models overfit the data.mp4 (12.67 MB)
MP4
02 - How to train models within the backtest.mp4 (8.59 MB)
MP4
03 - Challenge Train test with other tickers.mp4 (9.87 MB)
MP4
04 - Walk forward validation in machine learning.mp4 (27.24 MB)
MP4
05 - Anchored walk forward validation in backtesting.mp4 (17.61 MB)
MP4
06 - Create library for backtesting strategies.mp4 (9.53 MB)
MP4
07 - Interpret reports from walk forward validation approaches.mp4 (3.01 MB)
MP4
08 - Challenge Walk forward with other tickers.mp4 (14.91 MB)
MP4
01 - Course summary.mp4 (12.44 MB)
MP4
02 - What's next.mp4 (1.31 MB)
MP4