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Slippage Analysis: How Solven4 Detects Execution Quality Issues
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Slippage Analysis: How Solven4 Detects Execution Quality Issues

Slippage — the gap between the price you intended and the price you actually got — is easy to ignore trade by trade and expensive to ignore over a full year of trading.

Why slippage hides in plain sight

A few pips of slippage on a single trade barely registers. But slippage compounds silently across hundreds of trades, and unlike a losing trade, it never shows up as a single line item you'd notice on a statement — it's baked into every fill, which is exactly why it needs to be measured deliberately rather than eyeballed.

How the analysis works

Solven4 compares the price at the moment a signal or order was triggered against the price actually filled by the broker, across every synced trade, and aggregates the difference by time of day, instrument, and broker. This turns an invisible per-trade cost into a visible trend line — for instance, revealing that slippage consistently spikes in the first ninety seconds after high-impact news, or on a specific instrument during low-liquidity hours.

Turning the data into a decision

Once a slippage pattern is visible, the response is usually simple: avoid trading that specific window, switch order types for that instrument, or flag it as an execution-quality conversation with your broker. None of that is possible without first isolating the pattern from the noise of day-to-day P&L — which is the entire purpose of tracking it as its own metric.