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A losing trade review works when facts come before explanations and the result comes last. This article lays out a five-step order borrowed from the after action review, four buckets for classifying a loss, a worked example that splits a -1.7R loss into plan and execution costs, and a table that turns common excuses into questions the journal can answer.
16 articles
A losing trade review works when facts come before explanations and the result comes last. This article lays out a five-step order borrowed from the after action review, four buckets for classifying a loss, a worked example that splits a -1.7R loss into plan and execution costs, and a table that turns common excuses into questions the journal can answer.
A trading journal records each trade in fixed fields so results can be filtered and counted, while a trading diary is dated free text that explains each session: the plan, market context, skipped trades, and lessons. This article compares the two side by side, shows where traders blur them, and outlines a short daily routine that keeps both without doubling the work.
A multi-timeframe trade should be journaled as one record with three separate roles: the higher timeframe that set the bias, the middle timeframe that framed the setup, and the lower timeframe that triggered entry. This article covers a three-layer log structure, recording which chart defined the stop and target, taking snapshots at entry to avoid hindsight, and reviewing results by timeframe combination.
When a trading journal and a broker statement disagree, the statement is the record of money and the journal is corrected to match it. Most gaps come from costs logged gross, funding or swap fees, deposits mixed into profit, missing or split trades, and different period cut-offs. A seven-step reconciliation routine, a worked example, and the journal habits that keep the two in sync.
A stock trading journal logs price, size, and P&L, fields that describe a directional bet but say nothing about time or volatility. What options trading adds on top, contract identity, premium and multiplier, multi-leg structure, implied volatility and the Greeks at entry, and assignment or exercise outcome, and why each field explains part of a result a stock journal cannot.
Backtesting simulates a strategy against historical price data before any capital is risked; a trading journal records what actually happened once real orders were placed. Why the two are complementary, not interchangeable, and how to use them together.
A fixed checklist of what to calculate during a monthly trading review: win rate, profit factor, average R-multiple, drawdown against the account limit, results by setup tag, and the plan-followed rate, plus how many trades before the numbers mean anything.
A practical comparison of Notion and BitStat for logging trades: what Notion's databases, relations, and formulas can do out of the box, what has to be built by hand, and where a dedicated trading journal still saves the setup work.
A portfolio tracker shows what you hold and its current value. A trading journal records how each trade was entered, managed, and closed, and why. They answer different questions.
Most trading journals fail within a few weeks, not from a missing template but from skipping the review habit after losing sessions. Here is how to build a journaling routine that actually survives a bad week.
A category-by-category look at trading journal options in 2026: spreadsheets, notes apps, platform trade history, and dedicated software, so the choice matches how you actually log trades.
Excel and Google Sheets can log trades for free, but win rate, R-multiple, and profit factor still need manual formulas that quietly break as trade volume grows. See when a spreadsheet is still the right call, and what a dedicated trading journal actually adds beyond calculation.
