AI Market Intelligence & Financial Glossary
Clear, authoritative definitions of deep-learning NLP sentiment models, SEC insider filings, and quantitative risk management formulas.
FinBERT Sentiment Scoring
A specialized NLP BERT transformer architecture pre-trained on financial news, earning reports, and filings to extract continuous probability distributions for positive, negative, and neutral market sentiment.
VADER Lexical Intensity Scorer
A valence-aware rules-based lexicon calibrated for financial news headlines, short alerts, and market chatter to evaluate emotional intensity in real time.
Market Sentiment Dial
A continuous 0% to 100% normalized scale synthesizing FinBERT and VADER outputs. Scores below 35% indicate extreme panic/oversold regions, while scores above 65% indicate bullish enthusiasm.
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.