Scanning 8,000 tickers every second, cross-referencing dark pool flow, hedge fund 13F positions, and Reddit sentiment simultaneously — this is what a retail trading advantage looks like in 2026.
Crowly's Signal Radar dashboard scanning 8,000+ tickers simultaneously. The platform flagged 10 major breakouts in the first 27 minutes of the trading day on a recent session, including PLTR's +312% volume surge. Source: Crowly.video
At 9:57 a.m. on a recent Tuesday, Crowly's Signal Radar quietly flagged a position in Palantir Technologies. Volume was running 312% above the 20-day average. A dark pool sweep had registered $890 million in block flow. The AI confidence score read 94 out of 100. The signal classification: BUY.
Twenty-seven minutes later, PLTR was up 6.4%.
This is the routine Crowly's Israeli engineering team has spent the past year building — a scanner that doesn't wait for the crowd to notice a breakout before it tells you about it. The Signal Radar is the company's most technically ambitious feature: a multi-layer, real-time alert system that cross-references price momentum, institutional dark pool activity, hedge fund positioning, and social media sentiment every five seconds, across more than 8,000 tickers simultaneously.
Unlike conventional screeners that filter on price or volume alone, Crowly's Signal Radar evaluates each ticker against four simultaneous data layers: technical momentum (RSI, MACD, ATR, breakout from opening range), dark pool and options flow (unusual block trades, sweeps, and unusual options activity), institutional 13F positioning (whether hedge funds have been accumulating or distributing), and social velocity (real-time spike detection on WallStreetBets, Twitter/X, and StockTwits). Each layer contributes to a composite "Whale Score" from 0 to 100.
A ticker must exceed a configurable threshold — typically 80+ — before the Radar generates an alert. The system then assigns a signal classification (BUY, SELL, or WATCH), an ATR-derived stop-loss level, a profit target, and a session-adjusted confidence percentage based on the morning's pre-market regime assessment.
The Signal Radar's primary interface is a live, sortable table — updated in real time — that surfaces the highest-ranked setups at any given moment. Each row displays the ticker symbol, current signal classification, composite Whale Score with a visual progress bar, volume spike percentage versus the rolling 20-day average, and the primary catalyst driving the alert. Users can filter by sector, market cap, minimum score, signal type, or custom watchlist.
| Ticker | Company | Signal | Whale Score | Price | Change | Vol Spike | Catalyst |
|---|---|---|---|---|---|---|---|
| PLTR | Palantir Tech | ● BUY |
94
|
$42.18 | +4.7% | +312% | Dark pool sweep |
| NVDA | NVIDIA Corp | ● BUY |
91
|
$875.40 | +2.8% | +189% | 13F inflow + earnings |
| AMD | Adv. Micro Dev. | ● WATCH |
70
|
$178.45 | +3.2% | +88% | WSB trending #3 |
| META | Meta Platforms | ● BUY |
80
|
$568.10 | +2.1% | +143% | Options call sweep |
| TSLA | Tesla Inc | ● SELL |
32
|
$218.30 | -1.5% | +215% | Delivery miss + put flow |
The most differentiated layer in Crowly's Signal Radar is its dark pool scanner. Dark pools — private trading venues where institutional orders are executed off public exchanges — account for roughly 38% of all US equity volume, according to FINRA data, yet their activity is invisible to conventional retail screeners. Crowly's scanner ingests dark pool print data in near real-time, flagging tickers where block trades are running significantly above baseline levels.
Dark Pool Block Flow: Crowly's scanner flagged $890M in PLTR block trades by 09:57 AM — 27 minutes before the stock broke out on public exchanges. Purple bars indicate net buy flow; red indicates net sell flow.
On the PLTR trade in question, the dark pool print registered at 09:57. The ticker didn't appear on any public volume-based screener until 10:08, when the price move was already 3.2% underway. Crowly users who acted on the signal at open had more than a ten-minute window before the broader retail market noticed the move.
A key design decision that distinguishes Signal Radar from competitors is its regime filter. Before the market opens each morning, Crowly's pre-market engine classifies the session into one of three regimes: StrongUp, StrongDown, or Chop. This classification — derived from overnight futures, pre-market breadth, sector correlation, and prior-day structure — directly gates what signals the Radar will surface.
In a Chop regime, the minimum Whale Score threshold is automatically raised, position sizing guidance tightens, and the maximum number of concurrent signals is capped. The logic is straightforward: in low-conviction environments, false positive rates increase, and aggressive signal filtering preserves capital. In a StrongUp regime, thresholds relax, and the system allows more setups to surface simultaneously.
Crowly's Signal Radar competes in a space occupied by platforms including Finviz Elite, Trade Ideas, and Unusual Whales — but its architecture differs meaningfully from each. Finviz operates primarily as a visual screener with no AI synthesis layer. Trade Ideas offers algorithmic scanning but lacks the institutional 13F overlay and the ensemble LLM consensus engine. Unusual Whales focuses specifically on options flow with no integrated technical or sentiment scoring.
Crowly's distinguishing claim is the simultaneous aggregation of all four signal sources — technical, dark pool, institutional, and sentiment — into a single ranked output. The platform does not require users to run separate scans or mentally synthesize cross-layer data. That synthesis, which would take an experienced analyst minutes per ticker, is executed by the AI for 8,000 tickers in five seconds.
Signal platform feature comparison. Crowly is currently the only retail platform that simultaneously combines technical scanning, dark pool data, institutional 13F positioning, ensemble AI, and social sentiment into a single ranked output.
Signal Radar is available across all Crowly subscription tiers, beginning at $20 per month. The free tier includes access to the end-of-day signal feed; live intraday scanning with the five-second update interval requires a paid plan. The platform delivers alerts through web dashboard, mobile push notification, email digest, and SMS — a multi-channel design intended to ensure traders receive time-sensitive signals regardless of whether they are watching a screen.
The company has also announced an API layer for institutional and B2B clients, enabling brokerages and fintech platforms to embed Crowly's signal engine directly into their interfaces — a distribution strategy that, if successful, could make the Signal Radar a default feature of the next generation of retail trading applications.
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