Trading & Indicators
Building and judging trading systems honestly โ backtesting, walk-forward, overfitting, indicators, risk.
How Institutions Actually Manage Risk โ And Which Parts You Can Steal
Institutional desks manage risk with limits and budgets, not better predictions. The machinery, what it costs, and the…
Risk/Reward Ratio Explained: Why a ‘Good’ Ratio Isn’t an Edge by Itself
Risk/reward is reward divided by risk, and alone it tells you almost nothing. The breakeven win-rate formula, and…
Trade Expectancy Explained: The One Number That Decides If a System Makes Money
Win rate is the vanity metric; expectancy is the truth. The exact formula, why a 90%-win system can…
Risk of Ruin: Why a Winning System Can Still Blow Up
A positive edge is not enough to survive. What risk of ruin is, the gambler’s-ruin math, and why…
A Profit Factor of 70, and the Account Still Blew Up
I coded over a thousand indicators, built backtests with profit factors above 70, and burned more than seventy…
Institutional Investing, Honestly: Size Is an Edge That Charges Rent
What professionals actually get that you don’t โ and the structural tax they pay: market impact, implementation shortfall,…
What Makes a Trading System Robust? A Checklist
A robust system is one whose edge survives conditions it was never tuned on. The checklist โ trials,…
What Is Overfitting in Backtesting (And How to Avoid It)
Overfitting is why a beautiful backtest and a losing strategy are so often the same thing. What it…
Walk-Forward Analysis: Testing a Strategy Like a Quant
Walk-forward analysis re-optimizes on a rolling window and tests once on the next unseen slice. How it works,…
Sharpe Ratio Explained: Comparing Strategies on Risk-Adjusted Returns
The Sharpe ratio compares strategies on return per unit of risk โ and it flatters some dangerous systems.…