By the time most retail traders finish scrolling through charts, reading earnings summaries, and cross-referencing news headlines, the trade is already over. Professional desks at Citadel and Renaissance Technologies made the decision algorithmically, in milliseconds, using data points no individual can synthesize at market speed.
Crowly, an Israeli fintech startup founded in 2025, is wagering that this information gap — not analytical skill — is what separates institutional performance from retail results. Its platform doesn't offer better charts or a faster screener. It offers a verdict.
The Architecture of a Decision
At the center of Crowly's product is what the company calls its "Professor AI" — an ensemble system that aggregates outputs from five large language and machine learning models running in parallel: GPT-4, Claude, Gemini, Grok, and DeepSeek. Each model independently analyzes technical indicators, fundamental metrics, social sentiment drawn from Reddit's WallStreetBets and X, and institutional positioning sourced from SEC 13F filings. The Professor then synthesizes these inputs into a consensus-based trade recommendation, complete with a confidence score.
"We don't give traders more data. We give them the answer. The signal, the stop, the target — ready before the bell."
— Moti Berman, Founder, Crowly.videoThe output is disarmingly direct: a BUY, SELL, or HOLD classification attached to a stock, accompanied by an ATR-based stop-loss level, a profit target, and a confidence percentage — 60%, 75%, or 90%. There is no heat map to interpret, no screener to configure, no chart pattern to identify. For a cohort of traders who want algorithmic certainty over analytical flexibility, that is precisely the point.
How Crowly Works: Four data streams feed five large language models simultaneously. The "Professor AI" aggregates their outputs into a single, actionable trade signal with a confidence score and risk parameters.
Regime First, Stock Second
Where Crowly's architecture diverges most sharply from conventional fintech tools is in its pre-market regime classification system. Beginning five to twenty minutes before the opening bell, the platform ingests premarket price and volume data, index and sector breadth metrics, and prior-session context. From this, it classifies the upcoming trading session into one of three regimes: StrongUp, StrongDown, or Chop.
The regime classification determines the entire risk architecture for that session — recommended position sizing, exposure caps, maximum number of trades, cooldown periods between entries, and stop/target ranges. A trader operating in a Chop regime receives tighter exposure limits and narrower position sizes than one operating in a StrongUp environment.
The Institutional Tracking Module
Perhaps Crowly's most distinctive feature is its hedge fund surveillance layer. The platform monitors quarterly 13F SEC filings from more than 50 institutional investors — including Bill Ackman's Pershing Square, Carl Icahn's Icahn Enterprises, and David Tepper's Appaloosa Management — tracking initiation and liquidation of positions across more than 56,000 holdings.
Crowly's Institutional Tracker monitors SEC 13F filings from over 50 hedge funds, alerting retail users when major players initiate or exit significant positions.
The Philosophical Bet
Crowly's commercial thesis rests on a contentious premise: that retail traders are better served by replacing their judgment than augmenting it. Traditional fintech tools — screeners, charting platforms, fundamental databases — enhance human analysis by making data more accessible and visual. Crowly's model generates the analysis itself, leaving execution as the only remaining human decision.
"The gap between what a hedge fund can see and what a retail trader can see is not intelligence. It's infrastructure. We're building the infrastructure."
— Crowly.video, Platform ManifestoScale, Pricing and the B2B Horizon
Crowly currently analyzes more than 600 stocks daily, scanning over 8,000 tickers at sub-second intervals across NYSE and NASDAQ. The signal engine updates every five seconds. Alert delivery spans web dashboard, mobile, email, and SMS. Paid plans begin at $20 per month — substantially below institutional-grade data terminals — while offering feature sets previously unavailable at consumer price points.
Beyond the retail product, the company has articulated an API-first, business-to-business strategy. Crowly describes its platform as an "investment brain" designed to be embedded within broker and fintech applications, powering signals and portfolio intelligence for millions of end-users through white-label integration. Whether its ensemble AI can sustain a demonstrable edge against increasingly efficient markets remains, as with all quantitative systems, the central unanswered question.