Building a Kalshi NFL Prediction Market Bot in Python - Performance Analysis and Challenges

Building a Kalshi NFL Prediction Market Bot in Python - Performance Analysis and Challenges

Part Time Larry via YouTube Direct link

Environment variables

10 of 18

10 of 18

Environment variables

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Building a Kalshi NFL Prediction Market Bot in Python - Performance Analysis and Challenges

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Quick preview of ESPN API vs. TV Stream
  2. 2 Parsing play-by-play JSON and win probability spikes
  3. 3 Seahawks vs. 49ers Gamecast
  4. 4 Who is first?
  5. 5 Code / file structure
  6. 6 ESPN Unofficial Public API
  7. 7 Bot Architecture
  8. 8 Code…does anyone care?
  9. 9 Find NFL Game Tickers Script
  10. 10 Environment variables
  11. 11 ESPN Client / Poller
  12. 12 Kalshi Websocket Client / Real-Time Odds
  13. 13 Spike in odds, long pause before it is reflected on TV stream
  14. 14 Small spike + not fast enough + fees = no profit
  15. 15 Data Latency Hierarchy
  16. 16 Is this useless?
  17. 17 Economics category? Trading different asset classes?
  18. 18 Should I do Kalshi coding tutorials?

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.