How many live trades does it actually take before your data means anything?
u/Thiru_7223 ·
Reddit — r/algotrading
· May 12, 2026 at 10:03
· ⬆ 15 pts
· 💬 43 comments
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AI Summary
Summary
The post discusses the challenge of determining statistical significance of live trading results in algorithmic strategies, especially when trade frequency is low (3-4 per week) and regimes can shift.
The author reflects on the tension between waiting for enough data to be confident and incurring real losses during that wait, with no clear answer on whether to use trade count, time elapsed, or other metrics.
This is a well-reasoned, practical reflection on the difficulties of live strategy evaluation, not a DD on any particular asset or trade.
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Went live. First 3 weeks, nothing broke. Thought maybe I'd gotten lucky with the build.Week 4 and 5 bled consistently. Spent two weeks trying to figure out if the edge was gone or if I just hit a normal losing streak. That's when I realized I had no idea how many trades I actually needed before drawing any conclusion. 50 trades? 200? More?Backtests give you thousands of trades. Live gives you maybe 3-4 a week if you're disciplined. By the time you have enough data to be statistically confident, months have passed and the market regime might have already shifted.And the cruel part is if you wait long enough to be sure, you've already paid for the answer in real money.
I still don't have a clean answer for this. Do you go by trade count, time elapsed, or something else entirely?