Advanced Trading Analytics

Context Analysis Dashboard

Advanced market pattern recognition and statistical analysis for the price action trader.

Why CAD

I created CAD to address my own need to accurately study market context. I had already built 4 systems and was ready to spend more time outside of signal study, but could not reliably configure a context study from the data I was extracting from the trading platforms I used.

I was familiar with Excel, so I first tried building CAD there. However, once I had over 100 features and 200,000 rows of data, the application regularly crashed, and it was impossible to track the formulas used across the many semi-functional dashboards.

Over the next two years, I built the beta version of CAD then, after more than a year of regular use from SA2 students, migrated to the v1 product you see today. I learned a lot from the students who used it and have incorporated that into the new version in addition to many other enhancements, features and improved statistical processing.

We are excited to make CAD publicly available for the first time and look forward to hearing how you use it in your research and live trading.

About the Context Analysis Dashboard (CAD)

Powerful tools for research and real-time decision making

Advanced Pattern Recognition

Statistical analysis for the price action trader. CAD can be used for both research and real-time decision making.

High-Value Price Action

Based on high-value price action features that provide meaningful insights for traders.

Feature-Specific Processing

Feature-specific data processing optimized for trading analysis and decision making.

Statistical Integrity

Clean source data ensures statistical integrity for reliable analysis and results.

Case Studies

Real-world examples of how traders use CAD to improve their decision-making

Beginning to Think Probabilistically
CAD Essentials Case Study

Learn how to start thinking probabilistically using CAD Essentials. This practical example demonstrates gap close analysis and how to discover statistical edges through filtering.

Key Topics:

  • Understanding baseline probabilities
  • Analyzing gap size distributions
  • Applying filters for statistical edges
  • Practical trading applications
How Opening Gaps Transform Market Timing
Advanced Gap Analysis

Discover how understanding gap dynamics can sharpen your calibrated expectations and help maintain a probabilistic mindset when timing market extremes.

Key Topics:

  • Gap close statistics and timing
  • HoD/LoD distribution analysis
  • Filtered vs unfiltered distributions
  • Risk management implications

Ready to elevate your trading?

Join traders who are using Context Analysis Dashboard to make better decisions.

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