Institutional Data
Quant Atlas provides systematic and timely market intelligence datasets built for hedge funds and institutional data teams. Our products transform market data into structured signal outputs, price zones, sentiment analysis, and ML features.

Vertex
Structural Reversal Detection
A reversal-detection dataset designed to identify potential local and global market turning points across assets and regimes. It supports machine learning workflows, timing overlays, risk filters, and research into market tops, bottoms, and regime transitions.

Nexus
Market Sentiment Data
A seven-component market sentiment dataset built from exogenous correlation, trend quality, regime-aware features, and related market pressure indicators, designed to augment alpha research, feed machine learning models, and support signal validation.

VisionFX
Systematic FX Signal Data
Hourly and daily timestamped FX signal data generated from a multi-factor framework combining momentum, volatility, trend structure, pattern recognition, and proprietary indicators. Outputs include signal direction, sizing multiplier, estimated holding period, and conviction score.

PulseAtlas
Cross-Asset Volatility Forecasting
A point-in-time volatility forecasting dataset covering global assets, with high-conviction forecasts generated from a multi-factor framework that combines pattern recognition, smoothing techniques, and proprietary indicators.

BoundaryAtlas
Cross-Asset Structural Zone Data
Structural supply and demand zones across global assets. The methodology combines topology-inspired mapping, smoothing techniques, swing structure, volatility analysis, and pattern recognition to produce strong conviction market zones.
Client Testimonials
“We're very satisfied with VisionFX and its coverage. Signals are diversified and the returns are stable. They fit into our master algorithm as a conviction enhancer.”
Sigma8 Capital Management
“BoundaryAtlas is excellent in delivering dynamic support and resistance levels into our models. We use it to confirm our FX trading decisions.”
Al Wisata Capital

