How the scanner thinks.

52 indicators including RSI, MACD, Bollinger Bands, Keltner Channels, ATR, ADX, stochastic oscillator, Williams %R, MFI, Donchian channels, and moving average systems across multiple timeframes. The broadest single-engine coverage in the system.

Measures trend strength using directional movement, price acceleration, and relative performance vs sector and broad market benchmarks. Strongest in trending regimes.

Identifies oversold and overbought extremes using statistical z-scores, Bollinger %B, distance from key moving averages, and reversion probability models.

Compares implied vs realized volatility, detects volatility regime shifts, contraction/expansion cycles, and estimates breakout probability.

Drawdown analysis, Value at Risk, tail risk metrics, correlation exposure to market factors, and portfolio-level risk contribution estimates.

Aggregates social media sentiment scores, macro sentiment indicators (yield curve slope, VIX level, risk-on/risk-off gauges), and earnings announcement sentiment.

Evaluates exposure to value, growth, quality, and profitability factors using Piotroski F-Score, Altman Z-Score, DuPont decomposition, and earnings quality metrics.

32 detection functions using isolation forests and statistical z-score methods to identify outliers across price, volume, fundamental ratios, and cross-sectional data.

Analyzes volume profiles, VWAP behavior relative to price, and identifies signatures of institutional accumulation or distribution.

Maps cross-asset correlations between equities, treasury yields, commodities, currencies, and sector ETFs. Detects when correlations break down or strengthen.

Reads yield curve regime, Fed policy direction, recession probability indicators, and sector rotation signals driven by economic cycle positioning.

XGBoost, LightGBM, and Random Forest models vote on every signal. Trained on 100+ engineered features. Retrained daily with walk-forward validation.

Maps supply chain relationships, sector contagion paths, and correlation clustering to identify when a move in one stock is likely to pull others.

Pairs trading signals using cointegration tests and spread analysis. Identifies when historically correlated stocks diverge beyond statistical norms.

Multi-source data aggregation with automatic failover across yfinance, Alpha Vantage, and Polygon.io. Validates data quality before passing to analysis engines.

Cross-engine signal correlation analysis and redundancy detection. Prevents score inflation when multiple engines fire on the same underlying pattern.

Quantitative strategy signals combining momentum factor, value factor, and quality screens into systematic long/short frameworks.