SHARPLINK STOCK SURGES ON STRATEGIC GAMING RESTRUCTURING AND AI LAUNCH VOLUME RANKS 374TH IN U.S. LIQUIDITY AMID EARNINGS OPTIMISM
. 19, , ranking 374th among U.S. equities by liquidity. The stock’s performance followed a strategic shift in its gaming division and a revised quarterly earnings outlook. Analysts noted the move aligns with broader market trends favoring tech-driven entertainment sectors.
Recent corporate actions included the termination of a high-profile partnership with a Southeast Asian distributor, which initially sparked volatility. However, management emphasized the decision as a cost-optimization measure, reallocating resources to prioritize North American market expansion. Shareholders reacted positively to the clarity in capital allocation strategy.
, driven by new content releases. The company also announced plans to launch a beta version of an AI-powered analytics tool for developers, positioning itself as a leader in data-driven gaming solutions. These developments reinforced investor confidence ahead of the earnings season.
To run this back-test rigorously I need to pin down a few implementation details (and, where you prefer not to decide, I can adopt sensible defaults): 1. UniverseUPC-- • Should I screen the entire U.S. common-stock universe (NYSE + NASDAQ + NYSE-Arca), or another market? 2. Ranking moment & execution prices • Daily volume is only final after the close. – Common practice: rank today (t) on that day’s closing volume, buy the selected stocks at next-day open (t+1), and liquidate at next-day close (t+1). – Alternative: trade at the same day’s close and liquidate at next-day close. Which would you like? 3. Position sizing • Equal-weight each of the 500 names, or weight by something else (e.g., proportional to volume)? 4. Trading frictions • Transaction cost/slippage assumption (e.g., 2 bp per leg) — default is zero if you prefer simplicity. 5. Risk limits (optional) • Any stop-loss / max-drawdown / max-hold-days constraints beyond the 1-day exit? With those clarified I can generate the data-retrieval plan and run the back-test.



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