AI Market Intelligence & Financial Glossary
Clear, authoritative definitions of deep-learning NLP sentiment models, SEC insider filings, and quantitative risk management formulas.
AI Sentiment Scoring
How the news sentiment score reads each headline: state-of-the-art AI models trained specifically on financial data read the whole sentence and give the probability that it is positive, negative or neutral market sentiment.
Market Sentiment Dial
The news sentiment score: the average reading that state-of-the-art AI models trained specifically on financial data give a stock's recent headlines, shown as a whole number from 0 (most negative) to 100 (most positive). 50 is neutral. We call 48 to 52 neutral; 53 to 59 slightly bullish, 60 to 74 bullish and 75 or more very bullish; 41 to 47 slightly bearish, 26 to 40 bearish and 25 or less very bearish.
Bearish Savings
A risk metric measuring the exact percentage and dollar amount of capital preserved by exiting or hedging positions upon AI exit warnings prior to deeper market pullbacks.
Divergence Warning
An automated risk signal activated when public news sentiment remains positive (>55%) while stock price drops sharply (<-2%), indicating institutional liquidation into retail hype.
SEC Form 4 Executive Insider Tracking
Real-time automated ingestion of SEC Form 4 filings documenting open-market stock purchases and sales made by C-suite executives (CEOs, CFOs, Directors) using personal capital.
13F Institutional Whale Tracking
Quarterly tracking of Form 13F filings submitted to the SEC by institutional investment managers exercising investment discretion over $100M+ in equity assets.
Congressional STOCK Act Trade Monitoring
Disclosures of equity transactions made by U.S. Senators and Representatives under the Stop Trading on Congressional Knowledge (STOCK) Act across key legislative committees.
Unusual Options Sweeps
Detection of rapid, large-volume option transactions executed simultaneously across multiple options exchanges to conceal institutional accumulation or hedging.
Risk-to-Reward Ratio (R:R)
The proportional ratio comparing potential upside profit against downside stop-loss risk. A 1:3 R:R setup requires only a 25% win rate to achieve long-term statistical profitability.
Multi-Factor AI Signals
Automated BUY, HOLD, and SELL indicators synthesized from concurrent vectors of news sentiment, price momentum, RSI divergence, and smart money flow.