Okta Plummets 3.01% as Volume Dips 29.1% to 492nd Rank

Generated by AI AgentAinvest Volume Radar
Tuesday, Oct 7, 2025 6:14 pm ET1min read
OKTA--
Aime RobotAime Summary

- Okta (OKTA) fell 3.01% on October 7, 2025, with a 29.1% drop in trading volume to $0.23 billion, ranking 492nd in volume.

- A proposed back-test for a "Top-500-by-Volume" strategy requires defining stock universes (e.g., U.S. exchanges) and execution timing (close vs. open prices).

- Position sizing, leverage limits, and transaction costs like commissions must be addressed to refine the model’s net returns.

- Final execution depends on stakeholder input to finalize parameters for historical data analysis and performance metrics.

On October 7, 2025, OktaOKTA-- (OKTA) closed at a 3.01% decline, with a trading volume of $0.23 billion, a 29.1% drop from the previous day’s activity. The stock ranked 492nd in volume among listed equities, reflecting subdued investor engagement despite ongoing strategic shifts in the cybersecurity sector.

A back-test framework for a daily-rebalanced “Top-500-by-Volume” strategy outlines key parameters requiring clarification. The strategy’s design hinges on defining the universe of stocks—whether U.S.-listed equities across exchanges like NYSE and NASDAQ—or alternative market scopes. Trade execution timing remains critical: participants must specify whether transactions occur at daily close prices or involve next-day opening purchases. Position sizing and weighting methods, such as equal allocation across 500 names, also demand resolution to align with typical breadth-based strategies.

Operational details further include constraints on leverage, position sizes, and frictional costs. Transaction expenses like commissions and slippage could significantly impact net returns, necessitating explicit inclusion in the model. Once confirmed, the back-test will systematically pull historical volume and price data, generate daily buy/sell lists, and calculate performance metrics with visual reporting. Final execution depends on stakeholder input to refine these foundational parameters.

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