Where markets meet machine learning
Research notes, model explainers and market analysis from the team building TradePredictor. No hype, no signals-for-sale — just how the maths actually works.
Trading Psychology: The Biases That Cost Money
Most trading mistakes are not analytical failures. They are predictable cognitive patterns that appear reliably under financial pressure.
AI & Machine Learning
Feature Engineering for Financial Time Series
Model architecture gets the attention, but what you feed a model decides more about its performance than which model you chose.
AI & Machine Learning
Data Leakage in Backtesting: The Silent Killer
The most common reason a strategy looks brilliant in testing and dies in live markets is not bad luck. It is information from the…
Product Updates
Saved Predictions and Tracking What Actually Happened
The difference between traders who improve and traders who repeat mistakes is almost entirely whether they keep records.
Product Updates
Price Alerts: Never Watch a Chart Again
Staring at charts waiting for a level is unproductive and leads to worse decisions. Alerts let you set the condition and step awa…
Trading Education
The Sharpe Ratio for Traders
A measure of return per unit of risk, widely quoted and routinely misapplied to strategies that violate its assumptions.
Trading Education
Drawdown Explained: The Number That Ends Accounts
Return is what people advertise. Drawdown is what determines whether you are still trading when the returns arrive.
Trading Strategies
Risk-Reward Ratio Explained
A 3:1 ratio is meaningless without a win rate attached. The two numbers only mean something together.
Trading Strategies
Position Sizing: The Maths Nobody Teaches
Most traders spend their time on entries. Position size determines survival, and survival is a precondition for everything else.
Market Analysis
Understanding Market Regimes
Strategies do not work or fail in general. They work in some conditions and fail in others, and the conditions change more often …