Event-Driven Quantitative Research

Stock Catalyst Momentum Studio

Analyze how headline catalysts—such as Meta’s generative AI assistant rollout, GPU architecture unveilings, or earnings inflections—drive cumulative abnormal returns (CAR) and volume expansion over 30-day trading windows.

Catalyst Configuration

Preset Event Studies

Asset Ticker & Catalyst Name

Benchmark Index Asset Beta (β)

Catalyst Event Day Index (1 to 28) Catalyst lands on Day T+0: Trading Session 8 Catalyst Impact Magnitude Boost (%) Simulated announcement lift: +14% cumulative drift Volume Multiplier Day T+0 Volume Surge: 2.4x 30-day average

Abnormal Return is calculated as AR = R_asset - (β × R_benchmark). Cumulative Abnormal Return (CAR) isolates company-specific alpha from broad market tidal moves.

30-Day Total Return

+28.4%

Benchmark Return (QQQ)

+4.2%

Cumulative Alpha (CAR)

+23.1%

Peak Volume Multiple

2.4x

META AI Catalyst Window Performance

Asset Normalized Benchmark Cumulative Alpha (CAR)

Inspect Session: Day T+0 (Event)

Event Window Session Log

Showing catalyst window [-3 to +7 days]

Day	Phase	Asset Price	Asset Ret	Bench Ret	Excess (AR)	CAR	Vol Surge

Ready: Interactive catalyst window computed.

1. Why Catalyst Windows Matter

When giant market cap stocks like Meta or Nvidia embark on historic multi-year best monthly runs, the key question for institutional traders is how much of the surge is intrinsic product momentum versus index drift.

2. Isolating Alpha with CAR

Cumulative Abnormal Return (CAR) subtracts market beta exposure. If the Nasdaq rallies 4% and a stock with β=1.25 climbs 28%, the model attributes +23.1% directly to the AI assistant catalyst effect.

3. Volume Velocity Confirmation

Authentic catalyst rallies exhibit distinct institutional accumulation footprints: a 2x-3.5x average daily volume breakout on Day T+0, followed by sustained volume drift as consensus estimates are revised upward.