AI Trading Platform: Adding CI/CD to Our Development Workflow
We implemented a CI/CD pipeline for the AI Trading Platform. This post documents the approach, the types of bugs it catches, and why automated testing matters …
Insights on AI development, machine learning, and practical applications.
We implemented a CI/CD pipeline for the AI Trading Platform. This post documents the approach, the types of bugs it catches, and why automated testing matters …
AI adoption in trading is accelerating. Learn why firms that act now gain an advantage, and how our AI trading platform validates this approach through real …
We tested our frozen v0.3 exit strategy across different markets and trading styles. Here is what we learned about CFDs, futures, stocks, and why swing trading …
A comprehensive guide to protecting personal data when working with AI tools, from basic practices to advanced privacy-preserving technologies.
A technical deep-dive into deepfake detection methods for both human observers and automated systems.
Our AI trading platform improved expectancy from near-zero to statistically meaningful levels through a two-stage exit strategy. We also built a causal paper …
A comprehensive audit of our AI trading platform reveals a critical security fix, frontend accessibility improvements, and live stats from 33,000+ analyzed …
A research note documenting how iterative changes affected model behavior, risk distribution, and evaluation metrics.
Practical strategies to lower AI development costs while maintaining performance. Learn how smart optimization, pre-trained models, and efficient workflows can …
VibeCoding helps us prototype faster and test ideas sooner—but it's not about replacing engineering fundamentals. Here's how we use AI-assisted development at …
Learn how our free AI text detector identifies content written by ChatGPT, GPT-4, and other AI tools. We explain the science behind it in simple terms.
Two days of intensive work on preventing overfitting and data leakage. Here's what we built and what we learned.
We are building an AI trading system that learns from its mistakes. Here is what we have done, what works, and what problems we still need to solve.