Why testing algorithms on synthetic liquidity without factoring in true market depth and queue position leads to massive live-execution degradation.
The most common pitfall for independent quants is the reliance on retail backtesting engines. These engines operate under a fundamental flaw: the assumption of infinite liquidity at the quoted top-of-book price. If a strategy tests a 100-lot market order on historical tick data, a retail backtester assumes the entire order is filled at the exact quoted price, ignoring slippage, market impact, and order book depletion.
HarvestGroup360’s backtesting infrastructure factors in historical Level II depth. When your algorithm submits a test order, our matching engine iterates through the historical limit orders, applying volume-weighted average price (VWAP) degradation and realistic queue delays. If a strategy is profitable in our sandbox, it is statistically robust enough to survive live market conditions.