How AI Scanners Detect Market Catalysts Before the Chart Moves

Every market move starts with a catalyst. Sometimes it's an earnings beat, sometimes a regulatory filing, sometimes a dark pool print that signals institutional positioning. The traders who see the catalyst first — before it shows up on the chart — are the ones who capture the full move.

iMYNTED's scanning engine processes 15 independent signal types simultaneously. Each signal engine scores stocks 0-100 and contributes to a composite opportunity score. The engines include: short interest and squeeze detection, dark pool flow analysis, options sweep detection, earnings catalyst tracking, EDGAR filing monitoring, volume anomaly detection, bid/ask order book analysis, halt tracking, and more.

The key insight is that no single signal tells the whole story. A stock with high short interest might not squeeze if there's no price momentum. A dark pool block might be a hedge, not a directional bet. But when multiple signals align — high SI + rising price + options sweeps + dark pool prints — the probability of a significant move increases dramatically.

Our composite scoring system weights each signal by its historical predictive value. Squeeze setups get the highest weight because they produce the largest moves. Dark pool flow gets the second highest because it often precedes major moves by hours or days. EDGAR filings — especially Form 144 (insider selling) and S-1/S-3 (dilution) — get high weight because they're definitive catalysts with timestamps.

The AI layer adds natural language processing on top of the signal scores. Instead of just seeing a number, the terminal generates a plain-English explanation: 'GCTK showing EXTREME squeeze setup — 35% short interest, Reg SHO threshold, bid climbing 8% on 3x average volume, cost to borrow at 45%.' This makes the signals actionable for any trader, not just quants.