6 posts tagged “infrastructure”.
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...
Read a multi-candidate MVP market without confusing quoted prices with true probabilities. Check settlement rules, basket costs, depth and fees.
Architecture and Python patterns for scanning live sports markets in real time and surfacing edge signals — WebSocket subscriptions, latency budgets, edge...
How we designed a single unified API schema that serves calibrated win probabilities for 12 different sports — basketball, hockey, baseball, football...
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).
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.