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

Small spike + not fast enough + fees = no profit

14 of 18

14 of 18

Small spike + not fast enough + fees = no profit

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

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  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?

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