Adding a market doesn’t automatically diversify a trading portfolio. A 4x World Trading Champion explains why shared price drivers, not ticker count, decide.
A backtest that looks good isn’t proof. A 4x World Trading Champion’s 5-point checklist to run before trusting any strategy with real money.
Andrea Unger explains why most seasonality trading strategies fail out of sample, and the walk-forward test that separates real edge from noise.
Risk of ruin measures the probability a trading strategy blows up before its edge proves itself. Learn the formula and how to calculate it.
Statistical arbitrage explained: how pairs trading and mean reversion work, a worked example, real risks, and whether it’s still profitable today.
Algorithmic trading explained: what it is, how it differs from systematic trading, and how Andrea Unger builds a system that survives real markets.
Trend following, breakout, or mean reversion: which is really the simplest to trade? Andrea Unger compares all three with real trade examples.
A good backtest isn’t enough for Andrea Unger. Here’s the Monte Carlo test he insists a Trading System pass before real money touches it.
A perfect backtest can wipe out real capital: Andrea Unger explains how to verify an automated trading system with out-of-sample testing.
A chart pattern only counts if it survives out-of-sample testing: how Andrea Unger verifies every pattern before trading it live.
