A U.S. quantitative trader who was laid off by Goldman Sachs taught me everything in the span of a meal.

"We don't predict anything. We only buy contracts that are mispriced by more than 6%."
Just this one sentence. The core of a $2 million annual salary trading desk is it.
I threw his words and five GitHub repositories at Claude.
It built me a scanner. Scanning over 400 markets an hour.
Specifically looking for: contracts priced at 7–19 cents, but with a true probability of 60–90%.
With these odds, you only need to be right once in four to make money.
My bot was correct 81% of the time.
After three months:
$2,000 → +$8,191
99 trades
Sharpe ratio 2.30
A few real trades:
- ETH merge upgrade: market 72 cents, true 88%, profit +19 cents
- SOL surpassing $200: market 44 cents, true 81%, profit +15 cents
- Florida Category 3+ hurricane: market 81 cents, true 92%, profit +7 cents
- Wheat surpassing $800: market 53 cents, true 68%, profit +20 cents
All found by the scanner itself. All profitable.
Last week, he saw my terminal and said:
"This is what 47 of us, managing $800 million, used to run."
What about my costs?
$25 a month.
- Claude: $20
- VPS: $5
- GitHub repositories: free
- API: free
Running 8 proxies 24/7, recent profits:
- velvet_void: +$697
- nano_alpha: +$541
- ratking_eth: +$407
- darkpool_7: +$356
His fund returned 19% last year.
My system's three-month return is 409%.
The advantage has never been a secret.
It was just too expensive before. Now, it’s not.