11 posts tagged “beginner”.
Separate International referrer fee-sharing from Polymarket US promotional trading credits. No invented welcome amount, airdrop or deposit-bonus claim.
Use Kalshi’s current eligibility, identity and bank-deposit documentation. Separate account approval, trading balance, settled funds and referral conditions.
Identify the correct Polymarket product before following account or funding instructions. Then read its fees, bid/ask prices and settlement rules.
Plain-English guide to sports prediction APIs in 2026 — what they return, how authentication and rate limits work, what calibration means, and how to...
Convert American, decimal and fractional odds with worked examples. Distinguish break-even implied probability, no-vig estimates and actual costs.
Understand $1 contracts, executable bids and asks, gross break-even probabilities, fees and settlement rules using a hypothetical sports example.
Train and evaluate a calibrated NBA win probability model in Python using play-by-play game states, walk-forward validation, XGBoost and isotonic regression.
Our trading stack runs on a $7/month VPS plus $5/month for odds. Full cost breakdown, plus a correction: the bot is not profitable (-$217.75 lifetime).
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...
A beginner's guide to automated trading on Polymarket. Learn how bots find edges using win probability models, and how to build your own.
How to implement Elo ratings from scratch in Python for sports prediction. Covers home advantage, K-factor tuning, and season resets.