Most retail traders try to predict the market. After building a few production bots on Polymarket, I'm convinced that's the wrong game.

The right game: don't predict — follow. Specifically, follow the market makers.

Why? In high-frequency venues like Polymarket's BTC 5-min markets, MMs aren't betting on direction — they're managing inventory, hedging, and reacting to flow. When their quotes shift, that's information. When order book pressure changes, that's information. Reading those signals and reacting in milliseconds is a different game than picking up vs down. So I shipped a signal terminal that does exactly that: 🟢 Real-time WebSocket feed from the Polymarket CLOB 🟢 Low-latency signal engine in Go — Python was too slow for the hot path; every millisecond matters when you're trying to enter before the move is priced in 🟢 Confidence tiers and cooldowns (CONFIRMED_NORMAL, CONFIRMED_ACCELERATED) to filter noise 🟢 Live chart with signals overlaid as they fire Three takeaways from this build: 1) Latency is the strategy. You can have a perfect model — but if you're 200ms late, you're paying the spread to someone who's at 20ms. The choice of language and architecture is the alpha. 2) Stop trying to predict markets. Detect what's already moving and ride it. Inventory pressure beats vibes, every time. 3) For data analysts who've spent 10+ years in Python — the game is changing. Evaluation used to be a "cold" job: batch, offline, after the fact. Today it has to be precise AND on the hot path — accurate in real time. Locking yourself into a Python-only stack stops being smart at that point. Adding Go for the hot path exceeded my expectations — I'm not abandoning Python, but I am rebalancing where it sits in the stack. Live demo (press DEMO and watch real signals fire against the real order book):

👉 https://niv-pm-btc-signals.fly.dev/