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Trading burnout is the buildup of chronic, unmanaged stress from trading over weeks or months, not the frustration of one bad session. Drawing on WHO's official three-part definition of occupational burnout and the CDC's definition of job stress, this article shows how the earliest signs show up in journal habits, how burnout differs from overtrading and revenge trading, and what to do once the pattern is visible.
Maximum consecutive losses counts the longest unbroken run of losing trades, not the money lost. FTMO Academy simulations and CME Group's risk management course, both fetched directly, show how likely long streaks really are and how position sizing decides whether one is survivable.
Before paying a prop firm's evaluation fee, check whether the rules that can close the account are published in full, whether the fee is refundable, how profit split and the first payout actually work, and whether the business behind the offer can be verified as real. A practical checklist, a comparison table, and what a 2023 CFTC fraud case against a prop firm operator shows about why this matters.
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 stop-loss order closes a position automatically once price reaches a stop price set in advance. The stop price is a trigger, not a promised fill: a standard stop becomes a market order and can fill well past the stop in a gap. How the trigger works, stop-market vs stop-limit, why a mental stop is weaker, and which three stop fields a trading journal should record.
Confirmation bias filters which evidence a trader notices and records, both during and after a trade, to match an existing belief. In a journal it shows up as loss entries shorter than win entries, reasoning fields edited after the outcome is known, and reviews built from a remembered handful of trades instead of the full ledger. Three structural fixes a journal can enforce, and why this is a reasoning error rather than a discipline problem.
Slippage and commissions are real costs that sit outside the gross result a broker statement shows on a single trade. How to log expected versus filled price and commission on both legs, roll them into a net cost per trade, and see what skipping this does to your win rate, profit factor, and R-multiple.
A prop firm scaling plan increases a funded trader's account balance, and sometimes the profit split, after a fixed review period of consistent profit. How the general mechanic works, what can stop a scale-up, and FTMO's and FXIFY's own published numbers compared side by side.
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.
Slippage is the difference between the price you expected when you placed an order and the price it actually filled at, caused by the short delay before an order reaches the market. What causes it, the difference between positive and negative slippage, how market and limit orders compare, and why it matters for backtests and trading journals.
Analysis paralysis in trading is the inability to enter or exit a trade despite already having enough information, because one more indicator or confirmation never fully removes the doubt. What it looks like, why traders freeze, how it compares to FOMO and overtrading, and practical steps to reduce it.
Average win/loss ratio, also called payoff ratio, compares the average size of your winning trades to the average size of your losing trades after the fact. A worked example, a breakeven win rate table, and a clear comparison against risk-reward ratio and R-multiple, two metrics it often gets confused with.
