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16 posts tagged “python”.

polymarket market-microstructure debugging

Fix Polymarket order_version_mismatch in Python

Fix Polymarket order_version_mismatch after the CLOB V2 cutover: install py-clob-client-v2, use the right wallet signature type and funder, and stop...
polymarket trading python

How to Build a Polymarket Bot in Python: Architecture, Components, and What Actually Matters

Practical architecture guide for building a Polymarket trading bot in Python in 2026 — the eight components you need, how they fit together, what to build...
api tutorial python

How to Leverage a Sports Prediction API: A Step-by-Step Developer Guide

Pragmatic seven-step workflow for integrating a sports prediction API into your trading bot, dashboard, or research pipeline — auth, polling cadence, edge...
infrastructure python strategy

How to Build a Real-Time Edge Signals Scanner for Sports Markets

Architecture and Python patterns for scanning live sports markets in real time and surfacing edge signals — WebSocket subscriptions, latency budgets, edge...
risk-management prediction-markets polymarket

Kelly Criterion for Prediction Markets: How to Size Your Bets Without Going Broke

The Kelly Criterion tells you the mathematically optimal bet size when you have an edge. Most traders bet 2-4x too much. Here's the formula, the Python...
api python machine-learning

How to Build a Sports Prediction API with Python in 2026

Step-by-step guide to building a sports prediction API in Python, from live data collection and feature engineering to model calibration and FastAPI...
api polymarket kalshi

Prediction Market APIs: Polymarket, Kalshi, ESPN

Prediction market APIs compared: Polymarket CLOB, Kalshi REST, ESPN scoreboard/summary endpoints, The Odds API, auth, fees, rate limits, and Python.
machine-learning tutorial python

Win Probability Models for Sports Betting: The Math, The Code, and The Mistakes

How win probability models actually work — from Elo ratings through logistic regression to XGBoost. Includes calibration, feature engineering, and the...
nba python machine-learning

Build a Calibrated NBA Win Probability Model in Python

Train and evaluate a calibrated NBA win probability model in Python using play-by-play game states, walk-forward validation, XGBoost and isotonic regression.
polymarket python api

Polymarket API Python Tutorial: Connect, Fetch Orderbooks, and Place Trades

Step-by-step Polymarket CLOB API guide in Python: authentication, reading orderbooks, fetching market data, and placing limit orders programmatically.
calibration machine-learning python

Why Your Sports Betting Model Loses Money (Calibration Beats Accuracy)

A 65%-accurate model can be a money loser. A 53%-accurate well-calibrated one prints money. Here's how to measure calibration with Brier score and ECE...
infrastructure python historical-data

Stream Live Sports Data with WebSockets in Python

How to get real-time sports scores using WebSockets in Python. Compares HTTP polling vs WebSocket streaming, with working code for building a live data feed.
machine-learning python tutorial

Build an Elo Rating System from Scratch in Python

A complete step-by-step tutorial to implement an Elo rating system in Python for sports prediction. Covers the math, K-factor tuning, season resets, and...
backtesting python strategy

How to Backtest a Sports Betting Strategy in Python (Without Fooling Yourself)

A practical guide to backtesting sports betting and prediction market strategies in Python. Covers the common pitfalls — survivorship bias, look-ahead...
espn python tutorial

ESPN API in Python: Scoreboard, Summary and Win Probability

Python examples for ESPN scoreboard and summary endpoints: event IDs, winprobability fields, playId joins, missing sports and data limits.
machine-learning python tutorial

Elo Ratings for Sports Betting: A Complete Python Guide

How to implement Elo ratings from scratch in Python for sports prediction. Covers home advantage, K-factor tuning, and season resets.