Practical Python for Algorithmic Trading

Free Download Practical Python for Algorithmic Trading
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: 312 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://www.linkedin.com/learning/practical-python-for-algorithmic-tradingRapidgator
fgvol.Practical.Python.for.Algorithmic.Trading.rar.html
Uploadgig
fgvol.Practical.Python.for.Algorithmic.Trading.rar
NitroFlare
fgvol.Practical.Python.for.Algorithmic.Trading.rar
Fikper
fgvol.Practical.Python.for.Algorithmic.Trading.rar.html
In today's era of digital learning, access to high-quality educational resources has become more accessible than ever, with a plethora of platforms offering free download video courses in various disciplines. One of the most sought-after categories among learners is the skillshar free video editing course, which provides aspiring creators with the tools and techniques needed to master the art of video production. These courses cover everything from basic editing principles to advanced techniques, empowering individuals to unleash their creativity and produce professional-quality content.

Comments (0)
Users of Guests are not allowed to comment this publication.