AI & Machine Learning Trading
ML and AI approaches to trading: neural networks (LSTM, transformers), reinforcement learning agents, feature engineering, train/test discipline, and the realistic limits of LLMs and AI for retail traders.
How to Avoid Overfitting in EA Optimization: Techniques That Work
How overfitting happens in MT5 EA optimization, 7 techniques to prevent it including walk-forward validation, parameter reduction, and plateau analysis.
News Trading EA in MT5: Strategies, Code, and Live Realities
How to build a news trading EA for MT5: straddle strategy, MQL5 code for pending orders, spread widening risks, and why live performance rarely matches backtest
MT5 Backtesting with Real Tick Data: Why Quality Matters
How to get real tick data for MT5 backtesting from Dukascopy and Tickstory, import it correctly, and why it matters more for scalpers than swing traders.
Reinforcement Learning Trading Bot: Complete Guide with Python Code
How reinforcement learning trading bots work, Python code to build one with stable-baselines3, and why most RL trading systems fail to work live.
Can ChatGPT Predict Forex Prices? Realistic Verdict 2026
ChatGPT cannot reliably predict forex prices — here's why, what LLMs actually do well for traders, and where the line between useful and useless AI is.
Is AI Trading a Scam? Honest Analysis of What Works and What Doesn't
AI trading is not a scam — but most AI trading products are. The evidence for legitimate AI, how to identify fraud, and what retail AI trading can realistically
Best AI Forex Bots 2026: What Actually Works (Verified Live Performance)
The best AI forex bots in 2026 ranked by live Myfxbook performance. Covers ensemble AI, LSTM, RL agents, and signal EAs — with red flags to avoid.
AI vs Algorithmic Trading for Retail Traders
You've seen the headlines: hedge funds hiring machine-learning PhDs, startups promising "GPT-powered alpha," YouTube gurus showing off TensorFlow notebooks.