The Systematic Trader

Discretionary vs systematic trading, explained for retail: why rule-based trading beats gut feel, and what becoming systematic actually changes.

Entry, exit, position sizing, and a tested edge: the core components of a trading system, and how they fit together into something you can run.

How to build a trading strategy from scratch: turning a market idea into checkable entry and exit rules you can test and repeat.

Trading strategy examples that show the pattern: concrete, rule-based setups broken down into the conditions that make them testable.

How to evaluate a trading strategy before you risk money: the questions and sample sizes that separate a real edge from a lucky streak.

What is a good win rate in trading? Why win rate alone is misleading, and which backtest metrics actually tell you if a strategy works.

What is a good profit factor in trading? Going past win rate into expectancy, profit factor, and drawdown: the metrics that reveal a real edge.

How to identify market regime and adapt: why the same strategy wins in one environment and bleeds in another, and how to read the shift.

How to read backtest results on four live stock screens: win rate, average return, holding period, and turning that into an entry, a stop, and a size.

How much to risk per trade: position sizing, stop placement, and the risk rules that keep a losing streak from ending your account.

How to build trading discipline: the habits and routines that make a system stick when the market tempts you to abandon it.