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On October 7, 2025,
(DVLT) surged 21.63% amid a 54.08% spike in trading volume to $460 million, ranking 247th in market activity. The AI-focused stock’s performance reflected strong short-term momentum driven by sector-specific catalysts.Market participants observed heightened trading interest in Datavault’s AI division, with analysts noting alignment between its technical indicators and broader market trends. The stock’s volume surge outpaced typical volatility patterns, suggesting potential institutional participation or algorithmic trading activity.
Backtesting parameters for the stock require precise definitions of tradable universes, position sizing rules, and execution conventions. A standard approach would involve scanning the Russell 3000 index for top 500 volume performers, applying equal-weight position sizing, and using close-to-close pricing for trades. Additional risk controls remain undefined in the current framework.
To execute this back-test rigorously, clarification is needed on the universe of tradable stocks, position sizing methodology, trade price conventions, and risk management parameters. If a standard Russell 3000 universe with equal weights is acceptable, testing can proceed automatically; otherwise, specific ticker lists or alternative settings must be provided.

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