What broke first when I moved from backtesting to live wasn't the strategy
u/Thiru_7223 ·
Reddit — r/algotrading
· April 22, 2026 at 10:06
· ⬆ 15 pts
· 💬 34 comments
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AI Summary
Summary
The post is about the operational and infrastructure challenges (execution latency, order handling, low liquidity behavior) that cause failures when moving an algorithmic strategy from backtesting to live trading, not the strategy logic itself.
The author's thesis is that a significant failure mode in live trading is the "leakage" of a strategy's edge due to poor execution infrastructure, which is often overlooked in favor of discussions about overfitting.
Quality assessment: This is informed speculation based on personal experience. It is a valuable qualitative insight for practitioners but does not constitute well-researched due diligence (DD) with data.
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Comments34
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Everyone talks about overfitting and curve fitting as the big live trading failure modes.Those are real. But what actually caught me off guard was more mundane execution latency, order handling edge cases, and how the algo behaved during low liquidity periods that backtests just glossed over.The strategy logic was fine. The infrastructure around it wasn't ready.Took me a while to separate the edge is gone from the edge exists but something in execution is leaking it.
For those who've made the backtest to live jump what broke first for you? Was it the strategy, or something around it?