AI Blog

Insights on AI development, machine learning, and practical applications.

Blog Articles

AI Trading Platform: Adding CI/CD to Our Development Workflow
AI Trading

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 …

AI tradingCI/CDautomated testing
AI Adoption in Trading: Why Acting Now Matters
AI Trading

AI Adoption in Trading: Why Acting Now 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 …

AI tradingtrading technologypaper trading
AI Trading Platform: Choosing the Right Markets and Trading Style
AI Trading

AI Trading Platform: Choosing the Right Markets and Trading Style

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 …

AI tradingfutures tradingCFD trading
How To Protect Personal Data Using AI Tools
AI Security

How To Protect Personal Data Using AI Tools

A comprehensive guide to protecting personal data when working with AI tools, from basic practices to advanced privacy-preserving technologies.

data protectionAI securityprivacy
How To Spot A Deepfake Video Or Image
AI Security

How To Spot A Deepfake Video Or Image

A technical deep-dive into deepfake detection methods for both human observers and automated systems.

deepfakeAI detectioncomputer vision
AI Trading Platform: Exit Strategy Breakthrough & Paper Trading System
AI Trading

AI Trading Platform: Exit Strategy Breakthrough & Paper Trading System

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 …

machine-learningtradingexit-strategy
AI Trading Platform: Security Audit & Major System Updates
AI Trading

AI Trading Platform: Security Audit & Major System Updates

A comprehensive audit of our AI trading platform reveals a critical security fix, frontend accessibility improvements, and live stats from 33,000+ analyzed …

machine-learningtradingsecurity
AI Trading Platform: Observing Model Behavior During Strategy Optimization
AI Trading

AI Trading Platform: Observing Model Behavior During Strategy Optimization

A research note documenting how iterative changes affected model behavior, risk distribution, and evaluation metrics.

machine-learningtradingbacktesting
How We Reduce AI Development Costs Without Compromising Results
AI Development

How We Reduce AI Development Costs Without Compromising Results

Practical strategies to lower AI development costs while maintaining performance. Learn how smart optimization, pre-trained models, and efficient workflows can …

ai-costsoptimizationmachine-learning
VibeCoding: How We Deploy Experiments Faster Without Cutting Corners
AI Development

VibeCoding: How We Deploy Experiments Faster Without Cutting Corners

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 …

vibecodingai-developmentprototyping
How Our AI Text Detector Works: A Simple Explanation
AI Detection

How Our AI Text Detector Works: A Simple Explanation

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.

ai-detectionchatgptmachine-learning
AI Trading Platform Update: Building a Bulletproof Evaluation Framework
AI Trading

AI Trading Platform Update: Building a Bulletproof Evaluation Framework

Two days of intensive work on preventing overfitting and data leakage. Here's what we built and what we learned.

machine-learningtradingbacktesting
Building an AI Trading Platform: Our Progress So Far
AI Trading

Building an AI Trading Platform: Our Progress So Far

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.

machine-learningtradingneural-networks