Guide

A trading journal turns gut-feeling trading into data you can actually analyze. Here is why logging comes before skill.

A trading plan is what you intend to do; a trading journal is what you actually did. Confusing the two slows your progress down.

Logging without reviewing just turns your journal into a data graveyard. Here’s a concrete weekly review routine.

A checklist is the simplest tool for stopping impulsive entries. Here are items you can actually use in real trading.

The traps people fall into when they first start journaling their trades — and how to avoid them.

Numbers alone miss a lot. Here’s how chart screenshots change the quality of your review sessions.

A concept worth understanding before win rate. Here’s why a 40% win rate can still be profitable long-term.

Before "how much will I make," the question to answer first is "how much am I putting at risk." A primer on position sizing.

The most widely known risk management rule — "risk only 1% of your account per trade" — where it came from and how to apply it.

Setting stops and targets is harder than entering. Here are the basic principles for deciding them without emotion.

Leverage magnifies both gains and losses. Let’s look at the actual math behind leverage and risk.

Looking only at cumulative return hides a real risk. Here’s why MDD matters just as much as return.

The urge to bet bigger right after a loss — where it comes from psychologically, and how to stop it.

Accounts often get wrecked not by a bad strategy but by trading too much. How to recognize overtrading in yourself.

It’s usually the reaction to a losing streak, not the streak itself, that wrecks an account. Concrete ways to stay steady.

Four biases traders fall into most often, and why a trading journal is the most practical tool for catching them.

Discipline outlasts any strategy. Here’s why discipline matters more than raw talent.

Balance and return alone don’t show everything. A practical way to add emotional tracking to your journal.

Win rate is easy to calculate but easy to misread. Here’s the correct formula and the traps to avoid.

You can’t judge a strategy by either metric alone. Here’s how to calculate your actual expected value.

Small returns grow large when repeated. Here’s how compounding actually works, in real numbers.

Not every trade is equally good. Here’s how to find, with data, which patterns actually make you money.

Some patterns hide in a table but stand out on a calendar. A practical way to use the calendar view.

How to verify a strategy against historical data before risking real capital — backtesting at a retail trader’s level.

An overly ambitious target leads to forced, oversized trades. Here’s how to set a target you can actually sustain.

Vague goals don’t stick. Here’s how to apply the SMART framework — specific, measurable goals — to your trading.

Consistency comes before skill. A concrete way to build a routine you can actually keep every day.

Multiple accounts make it easy for records to blur together. How to keep them clearly separated.

Trading records are highly sensitive data. Here’s the difference between server-based storage and local-only storage.

Logging alone changes nothing. The final link that connects your data to actual improvement.