Nine features.
One system.

Every component solves a concrete signal-to-noise problem. Here's the technical breakdown of each one.

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All figures and screens shown below are illustrative sample data.

F01

TMS Scoring Engine

The Top Mover Score (TMS) is the core of the system. Every event receives a score from 0 to 100 calculated by the 6-layer engine before it reaches you.

Not a generic sentiment score. It is the result of comparing the event against 2M+ historical situations, measuring propagation velocity across sources, analyzing market microstructure, verifying cross-asset correlation, and determining the closest historical pattern. Only events that clear relevance thresholds are delivered as alerts.

SCORE DISTRIBUTION — LAST 48H
SEND NOW (≥82)12 events
SEND PREMIUM (68–81)31 events
WATCH (55–67)58 events
FEED (40–54)94 events
REJECT (<40)203 events
F02

6-Layer AI Engine

Every event passes through 6 independent subsystems. The final score is a weighted combination of all 6. No single layer decides the outcome on its own.

Historical similarity (35%): Pattern matching against thousands of prior events. Velocity (15%): Cross-source propagation speed. Microstructure (20%): Order flow, spreads, and options activity. Cross-asset (10%): Sector and ETF confirmation. Timing: Historical reaction window for this catalyst type. Pattern recognition (15%): Match against 28 catalogued event archetypes.

SUBSYSTEMS — NVDA SUPPLY_CHAIN_DEAL · SCORE 87
L1Pattern Similarity35%84
L2Velocity15%71
L3Microstructure20%88
L4Cross-Asset10%79
L5TimingTiming
L6Patterns15%82
F03

26+ Live Data Sources

The system aggregates data from 26 simultaneous sources. Each is weighted by its historical record of significant detected events.

Regulatory: SEC EDGAR, FDA, NYSE/NASDAQ Halts. News: Benzinga, GlobeNewswire, PRNewswire, Reuters, BioSpace. Financial: Finnhub, Alpha Vantage, FMP, Yahoo Finance. Market: Alpaca SIP (level-2), Unusual Whales, Quiver Quant. Social: Twitter/X, StockTwits, Seeking Alpha. Specialized: ClinicalTrials, OpenBB, Earnings Calendar.

SOURCE STATUS — REAL TIME
SEC EDGAR
1.2sACTIVE
FDA
2.1sACTIVE
NYSE Halts
0.8sACTIVE
Benzinga
1.5sACTIVE
Unusual Whales
3.2sACTIVE
Alpaca SIP
0.3sACTIVE
Twitter/X
4.1sACTIVE
F04

NLP Sentiment Analysis

Every headline is processed by a financial NLP model trained specifically on financial text and earnings language.

The sentiment model was trained on millions of financial news articles and earnings reports — not generic text. Returns a sentiment score from 0 to 100 (50 = neutral). Scores ≥60 → Positive. Scores ≤40 → Negative. This score is combined with TMS to contextualize the event without replacing the score.

SENTIMENT ANALYSIS — LIVE
FDA approves lecanemab for Alzheimer'sPositive 91%
TSLA deliveries beat consensus by 12%Positive 86%
Regulator opens fraud investigationNegative 8%
Company announces dilutive share offeringNegative 22%
F05

Automatic Catalyst Classification

The system classifies every event into 40+ catalyst types so you can filter exactly what interests you.

Types include: FDA_APPROVAL, CLINICAL_TRIAL, EARNINGS_BEAT, EARNINGS_MISS, M&A, MERGER, ACQUISITION, FILING, COMPLIANCE, EQUITY_FINANCING, REGULATORY, FRAUD, SHORT_SQUEEZE, INVESTIGATIVE, AI_PARTNERSHIP, SUPPLY_CHAIN, GOVERNMENT_CONTRACT, ANALYST_UPGRADE, ANALYST_DOWNGRADE, OPTIONS, and more. Each catalyst has a historical magnitude profile.

CATALYST BREAKDOWN — LAST 48H
FDA/CLINICAL14
EARNINGS22
M&A/MERGER8
FILING/SEC31
FRAUD/INVEST5
OPTIONS18
F06

Real-Time Web Dashboard

Access every detected event from the browser. Live news feed, full event detail view, and integrated Alpaca price chart.

The dashboard includes: live news feed with catalyst filtering, top movers view with TMS scores, per-event detail page with 5-min price chart, sentiment indicators and AI scoring breakdown. Auto-refreshes every 15 seconds with no page reload required.

tradeai-news — signal_feed
LIVE
14:32:11BIIBFDA91FDA grants accelerated approval for lecanemab
14:28:47NVDASUPPLY87TSMC confirms 3nm capacity for H100 successor
14:15:03TSLAEARN83Tesla Q1 beats consensus by 12%
13:54:22MRNACLIN71Phase 3 melanoma trial shows 67% response rate
F07

Fast-Track Alerts

Certain event types trigger fast-track mode: normal queues are bypassed and the alert is sent immediately, regardless of score.

Fast-track activates for: FDA approvals (all types), NYSE/NASDAQ trading halts, M&A deals and announced acquisitions, earnings releases outside regular hours, definitive SEC material filings (DEF14A, SC 13D). In fast-track mode the system prioritizes speed over complete analysis — you receive the alert while the engine finishes scoring.

⚡ FAST-TRACK ACTIVATED
NYSE HALT — BIIBHALT REGULATORY

Trading halted pending material news. Scoring in progress.

Latency: 0.8sScore: calculating…
DELIVERED BEFORE FINAL SCORE · ELITE + PRO
F08

Outcome History (ret_1h, ret_4h, ret_1d)

Every event stores the price return at 1h, 4h, and 1 day from the event. This enables real-world outcome tracking.

Returns are updated automatically by comparing the detection price against subsequent prices. Available in the signal dashboard and exportable via API. With this history you can study which catalyst types and TMS score ranges historically preceded the largest price moves — magnitude of movement, not direction — to inform your own independent research.

SEND_NOW — TMS ≥ 82
Events with the highest measured probability of significant near-term volatility, based on gap magnitude, volume acceleration, and volatility context. TradeAI News measures the likelihood that an event will move — it does not predict direction.
F09

REST API Integration

Access every detected event directly from your trading system via REST API. Endpoints for recent events, detail by ID, and historical data.

Available endpoints: GET /v1/signals/recent?limit=200&hours=48, GET /v1/signals/{id}, GET /v1/signals/top-movers?limit=20. JWT Bearer token authentication. JSON responses with all fields: ticker, headline, catalyst_type, top_mover_score, subsystem_scores, sentiment_score, ret_1h, ret_4h, ret_1d. Exclusive to Elite plan.

// GET /v1/signals/recent?limit=3
{
"signals": [
{
"ticker": "BIIB",
"top_mover_score": 91,
"catalyst_type": "FDA_APPROVAL",
"sentiment_score": 0.91,
"ret_1h": 0.042
}
]
}

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