14 posts tagged “intermediate”.
Pragmatic seven-step workflow for integrating a sports prediction API into your trading bot, dashboard, or research pipeline — auth, polling cadence, edge...
Architecture and Python patterns for scanning live sports markets in real time and surfacing edge signals — WebSocket subscriptions, latency budgets, edge...
See how to turn calibrated ML probabilities into disciplined bets: position sizing, risk controls, and the honest limits of the math.
Measure reliability in a defined prediction population, including the traded subset. Checked ECE bin endpoints, held-out calibration methods and dated...
Our bots' architecture, plus a correction: this post once published a +$2,400 P&L that was never true. Real figure: -$217.75 over 2,214 live trades.
The same game is priced differently on Polymarket, DraftKings, FanDuel and BetMGM. The devigging math, a multi-venue scanner architecture, and what our...
Our system finds dozens of trading signals per day. We trade 35% of them. The discipline to reject bad signals is worth more than the ability to find good...
Our NBA bot had 65% accuracy and was losing money — a calibration bug left it confidently wrong. How we found it, and why calibration beats accuracy.
Counter-Strike 2 has the widest mispricings on Polymarket. It also has the worst data infrastructure. Here's how we built a 4-tier model that handles both.
We audited every bot, found the gaps between backtest and live performance, and fixed them. CS2, NBA, MLB, LoL, and Tennis — five different problems, five...
Every one of our bots holds to settlement instead of trading actively. Why patience beat activity on Polymarket, and the strategies that failed.
A 6-feature model outperforms a 50-feature model at making money — even with a worse accuracy score. Here's why, and what it means for how you should...
Measure sports-model calibration with Brier score, ECE and held-out calibration examples. Separate reliability from executable-price profitability.
A practical guide to backtesting sports betting and prediction market strategies in Python. Covers the common pitfalls — survivorship bias, look-ahead...