Built By Traders.
For Traders.
Precog Analytics was born from a simple frustration: the gap between institutional-grade market intelligence and the tools available to individual traders. We're closing that gap.
Our Mission
We believe every trader deserves access to the same caliber of quantitative analysis used by hedge funds and institutional desks. Not watered-down alerts or simplified signals — the real thing.
Our platform combines proprietary machine learning models, rigorous statistical validation, and adaptive execution intelligence into a single, unified system. Every feature is designed to give you a measurable, defensible edge.
We don't sell hope or hype. We build tools that prove their value through data — and we make those tools accessible to traders of every level.
30+
Analysis Modules
3
Asset Classes
9
Intelligence Layers
99.9%
Uptime SLA
What We Stand For
Data Over Opinions
Every claim of edge is backed by statistical evidence. Walk-forward validation, confidence intervals, and significance testing — not anecdotes or cherry-picked results.
Transparency First
No black boxes. You see exactly how the system works, what it's detecting, and why. Our research tools let you validate everything independently.
Trader-Centric Design
Built by active traders who understand real trading challenges. Every feature solves a real problem — from risk management to execution quality tracking.
Our Journey
The Foundation
Started as a personal research project to systematize market analysis. Built the first pattern detection models and behavioral profiling framework.
Platform Launch
Expanded into a full platform with research sandbox, backtesting engine, and real-time analytics. Multi-asset support for futures, crypto, and forex.
Execution Intelligence
Released the adaptive execution system with 9 intelligence modules, dynamic risk management, and automated signal distribution across multiple broker integrations.
Scaling & Innovation
Continuous advancement of machine learning models, expanded institutional offerings, and growing community of quantitative traders around the world.
Technology Philosophy
We obsess over the details that most platforms ignore.
No Magic Numbers
Every parameter in the system is derived from data. No arbitrary thresholds, no default values assumed to work. Insufficient data returns null, not a guess.
Population-Relative Analysis
All classifications use percentile-relative scoring within the same asset and timeframe. A pattern on one instrument is evaluated against its own historical population.
Continuous Adaptation
Models update continuously as new market data arrives. Bayesian updating tracks edge evolution in real-time, with changepoint detection for structural shifts.
Counterfactual Tracking
Every intelligent decision is shadow-tracked. The system records what would have happened without each feature, generating data-driven improvement recommendations.