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Ziplime is not built for high-frequency trading (HFT) or latency arbitrage — strategy classes where the outcome depends on fractions of a second.

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Why

The engine is built on Python, with select performance-critical components accelerated in Rust. That’s fast enough for meaningful strategies on one-minute-and-above intervals, but it isn’t built to compete on sub-second execution timing the way specialized HFT infrastructure is.

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Why this isn’t a real drawback for most users

This is a positioning choice, not a gap to apologize for. High-frequency trading isn’t accessible to retail users in the first place — it requires colocation, specialized hardware, and infrastructure investment that’s economically out of reach outside large professional trading firms. Ziplime is built for the far larger set of strategies where the idea and the math matter more than microsecond execution: portfolio construction, momentum, mean reversion, pairs trading, and similar approaches on intraday-and-above timeframes. If your use case genuinely requires minimal latency or direct exchange access, that’s what products like Lime Direct are for — see How We’re Different for the comparison.