I Let an AI Bot Trade Real Money for a Week – Results ($50 Live + $20k Paper)

Not financial advice. Small money, short window. This is an experiment log, not a strategy recommendation.

TL;DR: I gave Grok Bot $50 of real money on Alpaca for about a week, plus $10,000 in paper stocks and $10,000 in paper crypto. Real money ended down 38 cents after fees. Paper stocks lost $88. Paper crypto was down about 2–2.7%. It's not a get-rich story, and I'm keeping the experiment running.

The setup

I started with a simple question: can Grok Bot make me money? Trading was the obvious first test.

Attempt 1: eToro (blocked). I already use eToro, and I had some leftover money there that I wasn't scared to lose. The plan was for Grok Bot to open Chrome on its own computer screen, log in and trade by hand. eToro kept logging out, and then kept blocking the session as suspicious activity, so I'm guessing it doesn't accept bots. After two or three days of errors I dropped the idea.

Attempt 2: Alpaca (API). I looked for trading platforms that allow trading through an API and found Alpaca. Generating an API key is easy, and the setup was simple, especially when you hand it to the AI.

I ran two tracks:

Live: $50 of real money, fully handed to the AI. It ran from 24 September, exactly one week before I recorded on 1 October.
Paper: $10,000 in stocks and $10,000 in crypto (fake money), running since 11 September.

The rules I gave it. The easy move would be to buy an S&P 500 fund and hold it. I wanted something more active, to see what it can actually do:

Sell daily if possible.
Hold overnight only if there's a very good reason.
Sell everything by Friday.
Research the market before deciding what to buy.

Early on it also had a rule not to trade when it couldn't find anything good. It didn't trade at all, so I told it to actually trade. Maybe those conditions were too extreme, and that's on me. With $50, a good day might make nine cents, so this was never about the money.

Tools and cost

Item	What I saw
Agent	Grok Bot (prompts via chat; there's also a live voice-talk mode on the phone that I skipped because it uses up credits)
Broker	Alpaca, trading through its API
Paper stock commission	0%
Paper crypto fee	0.25% per trade
Live trading fees	Included in the −$0.38 result
Funding (EU)	Alpaca isn't in the EU, so I sent the money through a UK bank account. It took 2–3 days and was a bit of a hassle, but not that bad

Results

Account	Start	Period	Result	What it traded
Live (Alpaca)	$50	24 Sep – 1 Oct	−$0.38 net after fees (dividends +$0.11)	SPY (S&P 500), stop-losses ~1% below buy price
Paper stocks	$10,000	since 11 Sep	−$88 (the bot reported roughly −1%)	S&P 500 index funds
Paper crypto	$10,000	since 11 Sep	−2.7% at recording	Bitcoin and Ethereum only

Live, day by day: It didn't trade at first. Friday: bought SPY (fee included). Monday: bought more SPY. Tuesday and Wednesday: losses. At the end it was still holding SPY shares. Losses came from the stock moves and fees, and dividends brought in 11 cents.

Paper stocks: Friday was up $34, and every other day was a loss. Same funds and same period as the live account, so similar results.

Paper crypto: It had bigger daily losses than stocks.

What failed

Screen-login trading on eToro. It got blocked as suspicious activity, and I lost 2–3 days to errors.
The "don't trade unless it's good" rule. The bot sat idle, so I forced it to trade, and some of the loss probably comes from that pressure.
Timing. The bot's main lesson was: "deploy gradually, not all at once near a high."
The bot's own explanation. When I asked where the losses came from, it said mainly its own decisions plus the thin account, with bad luck as the smaller part. I can't blame the AI completely, though. If it's a bad week for the market, it's a bad week for the bot too.
Stop-losses. Every stop sat about 1% below the buy price, and the bot said the Monday sale was the stop working as intended.

What I'd change

Run it longer. One week of real money and a few weeks of paper isn't enough to decide anything. I plan to keep it going for another month or two.
Add a weekly learning session. Every Friday after the market closes, the bot reviews everything it did, works out its mistakes and what went right, writes those lessons down (in its notes or a library) and gives me a weekly recap of what it learned and what to do better. By the end of the recording it had already added this session to itself.
I'm still deciding whether it's worth keeping long term.