The gap between a good strategy and a good trader.

Fear and greed are the two dominant emotional pulls in trading decisions — fear driving traders to exit winning positions too early or avoid valid setups entirely, and greed driving them to hold losing positions hoping for a reversal, or to oversize positions chasing a bigger win.

Both emotions tend to be strongest exactly when they're least useful — fear peaks near market bottoms (when opportunity is often best) and greed peaks near market tops (when risk is often highest), which is part of why purely emotion-driven decisions tend to underperform a predefined, rules-based approach.

Recognizing fear or greed influencing a specific decision in the moment is difficult precisely because both feel like reasonable judgment from the inside — which is why predefined rules (entry criteria, stop-loss levels, position sizing) exist specifically to reduce how much room emotion has to override a plan made in a calmer state.

FOMO is the impulse to enter a trade because a move is already happening and appears to be leaving the trader behind, rather than because the trader's own criteria for a setup were met. It's most common after a stock has already made a large, visible move.

Trades entered on FOMO tend to have worse risk-reward than the same setup entered earlier, because the trader is chasing a move that's already extended rather than entering near a well-defined level — the stop-loss ends up further from a logical invalidation point, or the entry is simply late relative to where the move started.

A common practical defense against FOMO is having a predefined watchlist and entry criteria decided before the market session, so a mid-session decision to chase a move can be checked against a plan made without the emotional pull of watching it happen live.

Revenge trading is entering a new trade — often larger or lower-quality than usual — specifically to recover a recent loss quickly, rather than because the new trade meets the trader's normal criteria. It's driven by the emotional discomfort of a loss rather than an assessment of the next setup.

Because revenge trades are typically sized up (to recover the loss faster) and entered with less discipline (skipping normal criteria in the rush to re-enter), they tend to compound losses rather than recover them — a losing streak made worse by the attempt to fix it quickly.

A common structural defense is a rule to stop trading for the day (or take a deliberate pause) after a loss of a predefined size, removing the option to revenge trade in the same session the triggering loss occurred.

Overtrading is taking more trades, or larger positions, than a trader's strategy or risk plan actually calls for — often driven by boredom during quiet markets, overconfidence after a winning streak, or the simple availability of a fast execution platform that makes entering trades frictionless.

Because each trade carries transaction costs (brokerage, slippage, taxes) regardless of outcome, a higher trade count mechanically raises the bar for overall profitability — a strategy that would be profitable at a normal trade frequency can become unprofitable purely from cost drag if trade count increases without a corresponding increase in edge.

Overtrading is often easier to spot in hindsight through a trading journal (see below) than in the moment, since a trading session that felt productive can look, in review, like a much higher number of low-quality trades than the trader's own plan called for.

Confirmation bias is the tendency to notice and weight information that supports a position already held, while discounting or ignoring information that contradicts it — a trader long a stock tends to notice bullish news more readily than bearish news on the same name.

In trading, this bias is particularly costly because it delays recognizing that a thesis has become wrong, keeping a losing position open longer than the original criteria would justify, simply because contradicting evidence isn't being weighted fairly.

A common defense is deciding the conditions that would invalidate a trade before entering it, so the exit decision is a check against a predefined rule rather than a fresh judgment call made while already holding a biased view of the position.

A trading journal records each trade's entry, exit, size, reasoning, and outcome, creating a factual record that's reviewed separately from the emotional state the trade was made in. Over time, this record reveals patterns — like which setups actually perform well, or which conditions correlate with overtrading or revenge trading — that are hard to see from memory alone.

Discipline in trading is less about willpower in the moment and more about having a predefined plan, position sizing rule, and journal-based review process that reduces how much any single decision depends on the trader's emotional state that day.

The value of a trading journal compounds over time rather than showing up immediately — a handful of entries reveal little, but a journal covering months of trades across different market conditions starts to show a trader's actual edge, or lack of it, more honestly than their memory of how they've been trading.