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Stock Market Analysis with Python and Machine Learning - Ivan Brigida

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Manage episode 394998437 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

We talked about:

  • Ivan’s background
  • How Ivan became interested in investing
  • Getting financial data to run simulations
  • Open, High, Low, Close, Volume
  • Risk management strategy
  • Testing your trading strategies
  • Sticking to your strategy
  • Important metrics and remembering about trading fees
  • Important features
  • Deployment
  • How DataTalks.Club courses helped Ivan
  • Ivan’s site and course sign-up

Links:

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

  continue reading

184 episodes

Artwork
iconShare
 
Manage episode 394998437 series 2831626
Content provided by DataTalks.Club. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by DataTalks.Club or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

We talked about:

  • Ivan’s background
  • How Ivan became interested in investing
  • Getting financial data to run simulations
  • Open, High, Low, Close, Volume
  • Risk management strategy
  • Testing your trading strategies
  • Sticking to your strategy
  • Important metrics and remembering about trading fees
  • Important features
  • Deployment
  • How DataTalks.Club courses helped Ivan
  • Ivan’s site and course sign-up

Links:

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

  continue reading

184 episodes

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