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NBA Value Bets vs Live Kalshi Prices

Compares the model's playoff probability for each NBA team against the live price of its Kalshi contract, and reports the edge, the expected value net of fees, and a quarter-Kelly position size capped per position and in total. Both sides of every contract are priced, so an overpriced favourite shows up as a chance to sell. Value calls stay locked until the season is ten games old.

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NBA Playoff Odds API — Monte Carlo Simulator & Value Bets
NBA Playoff Odds API — Monte Carlo Simulator & Value Betscommodus67/nba-playoff-odds-monte-carlo
Team
Kalshi ticker
Side
Price
+6 fields
Text
Number
Boolean
List
Object

Input

Games played before value calls:10
Edge threshold:0.05
Bankroll:1000
Max per position:5
Max total exposure:25

Output fields

Team
Kalshi ticker
Side
Price
Model %
Edge
EV / contract
Call
Contracts
Stake

How it works

Sign up on Apify or log in

The NBA Playoff Odds API — Monte Carlo Simulator & Value Bets Actor is ready to run with the inputs already set for "NBA Value Bets vs Live Kalshi Prices". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "NBA Value Bets vs Live Kalshi Prices" task

The NBA Playoff Odds API — Monte Carlo Simulator & Value Bets Actor will start running based on the input automatically. You can also change all the input fields, like games played before value calls, edge threshold, and more, to match your specific use case.

Receive the "NBA Value Bets vs Live Kalshi Prices" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as team, kalshi ticker, side, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "NBA Value Bets vs Live Kalshi Prices" task via API.

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