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On October 8, 2025,
(QURE) closed with a 3.54% gain, trading at $0.25 billion in volume, placing it 456th in market activity. The biotech firm’s shares surged amid renewed investor confidence in its gene therapy pipeline, particularly its lead candidate, QbD-101, which recently completed a Phase II trial with positive safety and efficacy results. Analysts highlighted the trial’s alignment with regulatory milestones, suggesting potential for accelerated FDA approval timelines.Recent developments include a partnership with a European healthcare fund to co-develop manufacturing infrastructure for QbD-101, reducing capital expenditures by an estimated 30%. Additionally, uniQure’s board approved a $50 million share repurchase program, signaling management’s optimism about its valuation. Short-term technical indicators, including a breakout above the 50-day moving average, have attracted momentum traders, though analysts caution that liquidity constraints may limit further gains without broader sector support.
I understand the strategy you have in mind; however, there are a few practical details we need to nail down before I can execute a reliable back-test with the available toolset: 1. Universe definition • “Top 500 stocks by daily trading volume” can refer to a) All U.S.–listed common stocks (NYSE + NASDAQ + Arca, etc.), or b) A pre-defined large-cap universe such as the S&P 500. • Please confirm which you’d like to use, or supply a static list of tickers if you already have one. 2. Signal timing convention • Common practice is: – Rank on Day T-1’s volume, – Buy at the open of Day T, – Close the position at the close of Day T (1-day holding period). • Let me know if you prefer a different entry/exit timing. 3. Portfolio handling limitations • The current back-test engine in this workspace evaluates one ticker (or one aggregate price series) at a time. • To implement a 500-stock equal-weight portfolio, I can: a) Approximate it with a broad ETF/index that already captures high-volume large-caps (e.g., SPY or the equal-weight RSP), or b) Build a daily synthetic portfolio offline and feed aggregated P&L into the engine as a custom price series (requires extra data preparation). Please let me know: • Your preferred universe option (full U.S. market vs. S&P 500 vs. provide your own tickers). • Your preferred timing rules (rank day, buy price, sell price). • Whether the ETF/index approximation is acceptable, or if you’d like me to prepare a custom synthetic portfolio (which will take additional steps). Once I have that information, I can proceed with the appropriate data pulls and back-test steps.
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