A 67-year-old grandfather in Vermont built a trading bot during retirement - it earned him $290,000 in a single year without losing a single trade.
168 trades. 100% win rate. Zero drawdown across 365 days.
The strategy is so safe it's basically a bond ladder - but with AI doing the probability math instead of credit
Here's how it actually works:
He only takes bets the model is >85% sure of. Everything else? Killed.
188 events scanned per day. ~12 pass the filter. ~1 actually deploy.
AI algo waits. Most days he doesn't trade at all.
The probability model is stolen from weather forecasting: 31 models vote on every outcome. 28 out of 31 saying "yes" = 90% conviction. Below 26 = automatic reject.
That's the entire edge.
Polymarket is full of 87-92¢ markets that almost always settle at $1. Most traders ignore them - upside per dollar looks tiny.
The math:
edge = model_p − market_p
kelly = edge / (1 − token_price)
size = bankroll x kelly x 0.15
The stack runs free: Polymarket Gamma API for discovery, ClickHouse + Redpanda for the pipeline, paper mode validation before live capital.
Brier score 0.041 across all 168 predictions. Anything under 0.10 is institutional-grade. He's printing the academic numbers.
Most boring account on Polymarket. Also the most profitable - so save this post.
And if you’ve been looking for the most safest strategy to copy - you’ve definitely found it.
You only need Claude + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
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@atrupar How many patients are in insurance plans that allow a patient to choose care providers based on price? Most insurance plans I am aware of are locked into care at one preferred provider system. Care outside that system forces the patient to pay a much higher share of the costs.
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