USC.EDU - Practical Python for Algorithmic Trading

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USC.EDU - Practical Python for Algorithmic Trading (Size: 324.9 MB)
  01 - Algorithmic trading using machine learning.mp4 2.2 MB
  01 - Algorithmic trading using machine learning.srt 1.1 KB
  01 - Compute machine learning classification model.mp4 25.6 MB
  01 - Compute machine learning classification model.srt 12.6 KB
  01 - Compute machine learning regression model.mp4 9 MB
  01 - Compute machine learning regression model.srt 3.4 KB
  01 - Course summary.mp4 12.4 MB
  01 - Course summary.srt 10.6 KB
  01 - Download and export data.mp4 17 MB
  01 - Download and export data.srt 7.3 KB
  01 - Optimizing strategy parameters.mp4 13.5 MB
  01 - Optimizing strategy parameters.srt 6.6 KB
  01 - Why machine learning models overfit the data.mp4 12.7 MB
  01 - Why machine learning models overfit the data.srt 5.6 KB
  02 - Filter rows and create columns for trading strategies.mp4 17.3 MB
  02 - Filter rows and create columns for trading strategies.srt 7 KB
  02 - First configurations of the strategy class.mp4 12.8 MB
  02 - First configurations of the strategy class.srt 5.4 KB
  02 - How to evaluate regression models.mp4 12.2 MB
  02 - How to evaluate regression models.srt 5.6 KB
  02 - How to train models within the backtest.mp4 8.6 MB
  02 - How to train models within the backtest.srt 3.7 KB
  02 - Maximize your learning.mp4 7.7 MB
  02 - Maximize your learning.srt 4.6 KB
  02 - Pandas reporting with heatmaps.mp4 7.5 MB
  02 - Pandas reporting with heatmaps.srt 2.7 KB
  02 - What's next.mp4 1.3 MB
  02 - What's next.srt 1.6 KB
  03 - Challenge Train test with other tickers.mp4 9.9 MB
  03 - Challenge Train test with other tickers.srt 4.3 KB
  03 - Configure and run the backtest with the regression model.mp4 5.4 MB
  03 - Configure and run the backtest with the regression model.srt 2.4 KB
  03 - Simulate the investment strategy step by step.mp4 12.7 MB
  03 - Simulate the investment strategy step by step.srt 5.2 KB
  03 - Smart optimization to save computing time.mp4 12.9 MB
  03 - Smart optimization to save computing time.srt 5.8 KB
  04 - Challenge Optimization with other datasets.mp4 11.2 MB
  04 - Challenge Optimization with other datasets.srt 5.4 KB
  04 - How to interpret the backtesting dashboard.mp4 15.9 MB
  04 - How to interpret the backtesting dashboard.srt 6.5 KB
  04 - Run the backtest on the strategy.mp4 12.9 MB
  04 - Run the backtest on the strategy.srt 5.1 KB
  04 - Walk forward validation in machine learning.mp4 27.2 MB
  04 - Walk forward validation in machine learning.srt 11.5 KB
  05 - Anchored walk forward validation in backtesting.mp4 17.6 MB
  05 - Anchored walk forward validation in backtesting.srt 7.7 KB
  05 - Challenge Backtest with other tickers.mp4 11.9 MB
  05 - Challenge Backtest with other tickers.srt 5.5 KB
  06 - Create library for backtesting strategies.mp4 9.5 MB
  06 - Create library for backtesting strategies.srt 3.3 KB
  07 - Interpret reports from walk forward validation approaches.mp4 3 MB
  07 - Interpret reports from walk forward validation approaches.srt 1.6 KB
  08 - Challenge Walk forward with other tickers.mp4 14.9 MB
  08 - Challenge Walk forward with other tickers.srt 7.2 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 56 total files

Description


Practical Python for Algorithmic Trading
https://CourseWikia.com

Released 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 54m | Size: 325 MB

If you work in finance or have any interest in investing and trading, you know that there’s a treasure trove of financial data available to you at any moment. But how can you use all that information to your advantage? Algorithmic trading using machine learning techniques can help you make trading decisions based on data. In this course, Jesus Lopez teaches you about data preprocessing, feature engineering, and how to use advanced machine learning models to enhance your trading strategies. He shows you how to download stock market data from Yahoo Financeto be trained on machine learning models that predict the future, and how to create investment decisions based on the predictions. Learn how to optimize your strategies, understand backtesting techniques, and interpret performance reports with confidence.

Homepage

https://anonymz.com/...rithmic-trading

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