u/jtm_ind ·
Reddit — r/algotrading
· May 27, 2026 at 20:50
· ⬆ 20 pts
· 💬 16 comments
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AI Summary
Summary
The author is testing a breadth-based algorithm for SPY using a 5-minute EMA to time entries/exits, and shares first-day results (19 trades, -0.08% return, 31.6% win rate).
The thesis is that market breadth across the S&P 500 can drive short-term signals, but execution delays and commissions need to be accounted for.
Quality assessment: This is a preliminary backtest or simulation log, not rigorous DD—more of a development update with limited sample size and no statistical validation.
Score20
Comments16
Upvote %86%
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ive been building out my breadth algo for SPY, tracking breadth accross the entire index + 5m EMA to time entries/exits. I'm currently calculating the pnl manually for now, but next step is to hook it up to an actual paper trading account to really get a feel for execution delays that I'm currently not accounting for.
Here are the results:
* trades closed: 19
* realized P&L: -7.65
* unrealized P&L: +0.00
* starting cash: 10000.00
* ending equity: 9992.35
* return: -0.08%
* win rate: 31.6% (6W / 13L)
* avg win: +1.50
* avg loss: -1.28
Ran it for about 4 hours, strategy could use some refinement, but the biggest risk imo is accounting for how real-life execution would affect these numbers. Gong to add in some random impact hits on entries/exits tonight + trade commission. Beyond that is there any other thing i should look out for?