How We Generate Intelligence

Detects earnings surprises, M&A activity, FDA decisions, legal rulings, executive departures, and other material corporate events that fundamentally change a company's trajectory. Each event is scored for magnitude and whether it represents a genuine shift or noise.

Identifies 15-50%+ price drops driven by temporary catalysts rather than structural deterioration. Separates genuine dislocations (buying opportunities) from value traps by analyzing the root cause, business model integrity, and recovery probability within 6-18 months.

Screens for companies with 100%+ appreciation potential over 12-24 months. Evaluates TAM expansion, competitive positioning, management quality, catalysts, and valuation gap. Only companies passing all five criteria receive a multibagger designation.

Detects episodic pivot events that fundamentally change a company's trajectory. Classifies pivot type (earnings surprise, regulatory shift, management change, product inflection, macro regime), magnitude, and whether the market has fully priced the shift.

Triple-test framework that determines whether a stock's momentum is driven by genuine fundamentals or misleading signals. Separates real institutional accumulation from retail hype, and identifies when consensus narrative diverges from underlying data.

Identifies disruptive products, technologies, and business models that create or destroy competitive moats. Scores disruption potential on a 10-point scale and maps which incumbents face existential threats versus which challengers are building durable advantages.

Deconstructs earnings quality beyond headline EPS. Analyzes revenue composition, margin trajectory, cash conversion, guide interpretation, and management credibility. Flags companies where reported earnings mask deteriorating fundamentals or understated strength.

Maps upcoming catalysts (earnings, product launches, regulatory decisions, conference presentations) against current valuation to identify asymmetric opportunities. Ranks catalyst probability, expected magnitude, and timing to flag the highest risk-reward setups.

Identifies stocks moving against their established trend on high conviction signals. Detects early reversals in extended rallies and capitulation bottoms in prolonged selloffs. Filters noise from signal by requiring multiple confirming indicators before flagging a counter-trend opportunity.

Proprietary model estimating the probability, depth, and duration of S&P 500 corrections. Combines technical indicators, credit spreads, sentiment extremes, and macro regime data to generate a forward-looking correction risk score updated weekly.

Scans Reddit, X (Twitter), StockTwits, and financial forums for sentiment shifts, emerging narratives, and retail momentum before they appear in price action. Separates genuine grassroots conviction from coordinated campaigns and bot-driven hype.

Maps every stock's position within the 5-phase parabolic lifecycle: Stealth, Awareness, Mania, Blow-Off, and Mean Reversion. Determines optimal entry/exit windows based on phase transitions and historical analogs. Prevents buying into blow-off tops or selling at stealth-phase lows.