Rezolve AI Surges 8.64% on AI Cybersecurity Momentum, Trading Volume Hits $230M, Ranks 484th in Market Activity

On September 11, 2025, , ranking 484th in market activity. The stock’s strong performance was driven by renewed investor interest in AI-driven cybersecurity solutions, with analysts noting improved technical indicators and short-term momentum. Despite a broader market consolidation phase, RZLV’s price action suggested short-term buyers capitalized on a pullback to key support levels.

Recent developments highlighted Rezolve’s strategic pivot toward enterprise-grade threat detection platforms, . Market participants observed a reduction in short-interest ratios, signaling waning bearish sentiment. , contrasting with prior retail-driven volatility patterns.

To run this back-test rigorously I’ll need a bit more detail (and to be sure the approach matches the data-handling tools that are available): 1. Universe • Which market or index should the 500 stocks be drawn from—e.g., all U.S.-listed common stocks, the S&P 500 constituents, the Russell 3000, etc.? • Do ADRs/ETFs get included or excluded? 2. Ranking & rebalancing rules • Is “daily trading volume” based on dollar volume (price × shares) or share volume? • Each trading day we rank the universe, buy the top 500 at that day’s close, and exit at the next day’s close—please confirm. • Equal-weight each position, or weight by volume-rank, market-cap, etc.? 3. Practical considerations • Should we assume zero transaction costs and unlimited liquidity, or apply an estimated slippage/commission? • Cash drag: if fewer than 500 names are tradable on a given day (e.g., due to suspensions), how should we handle the shortfall? Once those items are clear I can generate the data-retrieval plan and run the back-test.