GameStop Surges 3.17% on $260M Volume Ranks 444th in Liquidity as Analysts Cite Macro-Driven Volatility

. 16, , . stocks by liquidity. The rally followed reports of renewed short interest compression and speculative positioning adjustments in retail trading platforms, though no specific catalysts were disclosed in the filtered dataset.

Analysts noted the move aligned with historical patterns where the stock experiences volatility amid shifting investor sentiment, particularly in the absence of material earnings updates or fundamental catalysts. The mid-cap retailer's price action remained sensitive to macroeconomic positioning rather than sector-specific developments, as broader market risk appetite showed mixed signals in the week prior.

To build an accurate back-test I need a few extra details: 1. Stock universe • All U.S.–listed common stocks? • Another market or a predefined universe (e.g., S&P 1500, Russell 3000, etc.)? 2. Trade execution price • Buy at the same-day close (after the volume ranking is known)? • Or buy at next-day open? 3. Handling of costs and slippage • Assume zero transaction costs? • Or apply a fixed commission / slippage rate? 4. Any risk-controls (stop loss, max position size, etc.) or can we ignore them for this test? Once I have these details I can generate the data-retrieval plan and run the back-test.