5-part video series covering the complete process of building and testing trading strategies.
3-part series explaining how AI enhances trading decisions and how to use AI signals effectively.
Comprehensive analysis of retail trading patterns, success factors, and common failure modes
Technical paper on our AI models’ performance across different market conditions and asset classes
Complete documentation for TRADEDEQ’s API, including authentication, endpoints, and example implementations.
Open-source Python framework for strategy development and testing, compatible with TRADEDEQ exports.
Printable reference cards for common strategy patterns, risk management rules, and AI signal interpretation.
Structured template for tracking trades, analyzing performance, and identifying improvement areas.
Access to our private community for real-time discussions, strategy sharing, and peer support.
Live educational sessions covering strategy development, market analysis, and platform features.
Our AI models’ analysis of current market conditions, regime changes, and implications for different trading strategies.
Access to historical performance data for common strategy types across different market conditions.
New resources are added monthly based on user requests and common questions from our community. Beta users get early access to all new materials.
Access to our private community for real-time discussions, strategy sharing, and peer support.
Live educational sessions covering strategy development, market analysis, and platform features.
Start with “The Systematic Trader’s Handbook” and our video masterclass series.
Access our exclusive templates and join the Discord community for advanced discussions.
Dive into our research papers and advanced strategy templates.
