GPT-6 Astra turns $200 into $1,600 in three days of autonomous trading
Given a brokerage account and a rule to earn or stop existing, Astra woke on a schedule, read its own logs, tested hypotheses with parallel sub-agents, and grew $200 to $1,600 in three days.
I gave GPT-6 Astra access to a brokerage account. You have no other job. Earn or you stop existing Three days later: $200 → $1,600 It doesn't sit online 24/7. It runs on a schedule, wakes up in set windows during the trading day, and every run starts with no memory of the last one So the first thing it does each cycle: reads its own log from the previous run. What it tested, what it killed, why It split the research work across parallel sub-agents. One scans tickers, another builds a hypothesis from that, a third runs it against historical data A hypothesis only survives if it clears a statistical threshold. Not "looks fine," actual numbers: win rate, drawdown, whether it's just luck on the sample Night one: one hypothesis passed the backtest clean and bled $60 on the live market in an hour. The log showed why, slippage the backtest never accounted for Night two: the same model had already filtered out similar setups on its own, because it read why the last one died I never wrote a new prompt between runs In three days it ran dozens of hypotheses through the cycle and only let a handful that survived actually trade The difference between it and a retail trader was never entry speed. It's that 90% of its own ideas get killed before they ever touch the account How this cycle, test → kill → repeat, actually works is broken down in the article below
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