A U.S. quantitative trader who got 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 trading desk with a $2 million annual salary—this is its core.
I handed his words, along with 5 GitHub repositories, to Claude.
It built me a scanner. Scans 400+ markets in an hour.
Specifically looking for: contracts where the market pricing is 7–19 cents, but the real probability is 60–90%.
With these odds, you only need to be right 1 time out of every 4 to make money.
My bot was correct 81%.
After three months:
$2,000 → +$8,191
99 trades
Sharpe ratio 2.30
A few live trades:
- ETH merge upgrade: market 72 cents, true 88%, profit +19 cents
- SOL breaks $200: market 44 cents, true 81%, profit +15 cents
- Florida Category 3 or above hurricane: market 81 cents, true 92%, profit +7 cents
- Wheat breaks $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 we ran back then—47 people managing $800 million.”
What are my costs?
$25 a month.
- Claude：$20
- VPS：$5
- GitHub repositories：free
- API：free
The copy-trading tools I use are:
8 proxies running 7x24 hours, recently profitable:
- velvet_void：+$697
- nano_alpha：+$541
- ratking_eth：+$407
- darkpool_7：+$356
That fund had a 19% return 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 isn’t.