u/NoMulberry868 ·
Reddit — r/algotrading
· May 26, 2026 at 22:26
· ⬆ 22 pts
· 💬 28 comments
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AI Summary
Summary
The author describes a daily trading bot that selects one S&P 500 blue-chip stock from the top 200 movers using an LLM on technical data, then goes “full port” with a 4% profit target per trade.
Thesis: This single-ticker, one-trade-per-day strategy yields more gains than losses, with the target hit about half the days, and the author is testing it with real money since mid-May 2026.
Quality assessment: Noise – anecdotal backtest with limited detail, no rigorous statistical validation, and the LLM’s decision logic is opaque. This is a personal strategy update rather than researched DD.
Score22
Comments28
Upvote %95%
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I made this bot that basically picks the top 200 movers from the S&P 500, uses an LLM to ingest all sorts of technical data, and then spits out one ticker for me to buy, just before the markets open. So far, I think it's doing pretty well since gains have been more than losses. This is a simple backtest script I made to show which days are winners and losers, but I've been winning and losing real money with it since the 14th.
I'm wondering what % gain does everyone else's bots target every day? I set my profit target at 4% per day. Some days it hits, some days it doesn't, but it does seem to hit about half the days, which is great.
I'm just going full port, one blue chip stock per day, one trade per day, and so far it's working. Is anyone else getting better returns than this? If so, what are you trading?
If you're wondering, it's a fairly simple .py system paired with alpaca.