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On September 17, 2025, , ranking 447th among U.S. stocks by liquidity. The biotech firm's shares underperformed as investors digested recent developments in its clinical pipeline and regulatory landscape.
Recent filings highlighted ongoing Phase III trials for enoblitinib in non-small cell lung cancer, . Analysts noted the trial design incorporates biomarker-stratified cohorts, a strategic shift that could refine patient selection but may delay broader label approvals. Concurrently, the FDA's recent guidance on adaptive trial methodologies introduced procedural uncertainties for accelerated pathways.
Regulatory risks remain elevated as the European Commission initiated a post-marketing review of enoblitinib's safety profile following rare but severe adverse event reports. While the drug maintains conditional approval in the EEA, the review could trigger labeling restrictions or additional clinical requirements. Short-term technical indicators suggest continued volatility amid these regulatory overhangs.
To run this back-test rigorously I need to pin down a few practical details: 1.
definition • “Top 500 stocks by daily trading volume” – should this be drawn from (a) the entire U.S. common-stock universe, (b) only the S&P 500 constituents, or (c) another list (e.g., NASDAQ + NYSE listed)? • Is an ADR (foreign listing) acceptable, or do you want U.S.-domiciled companies only? 2. Re-balancing mechanics • Do we form the portfolio at the close of each trading day, then exit all positions at the next day’s close (i.e., a 1-day holding period)? • Should the portfolio be equal-weighted across the 500 names, or weighted by trading volume, dollar volume, .? 3. Transaction assumptions • Commission and slippage: may I assume zero for this high-level study, or would you like me to include a per-trade cost (e.g., 1 per side)? 4. Data granularity • I will base the simulation on daily data. Please confirm that is acceptable (as opposed to intraday open-close). Once I have these clarifications I can generate the data retrieval plan and run the back-test from 2022-01-03 (first trading day of 2022) through today (2025-09-17).
Hunt down the stocks with explosive trading volume.

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