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Trading education: guides, metrics and risk management

Everything you need to improve your trading with data: in-depth guides with examples and formulas, and a glossary of the metrics your journal uses. General, educational content, no hype.

Trading guides

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Metrics and key concepts glossary

Performance metrics

Win Rate

The percentage of winning trades out of your total trades. A high win rate feels good, but on its own it doesn't tell you whether a strategy is profitable.

A 40% win rate can be very profitable if the average win is several times larger than the average loss. That's why win rate should always be read together with risk:reward, never in isolation.

Example: 9 winners out of 20 trades, a 45% win rate
Illustrative example: win rate counts winners, not their size.

Risk/Reward

The relationship between what you risk on a trade and what you stand to gain if it works out. An R:R of 1:2 means you're risking 1 to try to make 2.

A good risk:reward ratio lets you be profitable even with a relatively low win rate, because each winner offsets several losers.

Long trade with 20 points of risk and a 40-point target: 1:2 risk/reward
Illustrative example of a 1:2 risk/reward.

Expectancy

How much you expect to win or lose, on average, per trade based on your history. It's calculated as:

Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss)

Positive expectancy suggests your process has historically tended to be profitable. Negative expectancy suggests the opposite. Neither one guarantees future results.

Expectancy of +0.125R: winners add +0.675R and losers −0.55R
Illustrative example: 45% win rate, 1.5R average win, 1R average loss.

Profit Factor

The ratio between total gains and total losses over a period. A profit factor above 1 means gains outweighed losses in that period.

Gross profit of 8,750 USD against gross loss of 6,500 USD: a 1.35 profit factor
Illustrative example of one month.

Average R

Your average trade result expressed in multiples of risk (R) instead of dollars. It lets you compare performance across accounts of different sizes without the dollar amount distorting the picture.

Average Win / Average Loss

The average result of your winning trades, and of your losing trades, respectively. The relationship between the two is the real, realized risk:reward of your trading.

Number of Trades

The total count of logged trades over a period. It's key to knowing whether your stats (win rate, expectancy, R:R) are representative or still based on a small sample.

Risk and capital management

Position Sizing

Deciding how many contracts, lots or shares to trade on each position based on your capital and your defined risk. Good position sizing keeps the risk of every trade constant and controlled, no matter how "safe" the entry feels.

Position size calculation: 500 USD ÷ (10 points × 20 USD) = 2.5, rounded down to 2 contracts
Illustrative example with NQ.

Risk Management

The set of rules that define how much capital you risk per trade, per day and overall — including stop losses, daily loss limits, and clear rules for when to stop trading.

Good risk management doesn't prevent losses; it aims to make sure no single loss threatens your account or your ability to keep trading long-term.

Drawdown (Max Drawdown)

The decline from the highest point of your equity to the lowest point that follows, before recovering. Max drawdown is the largest such decline on record.

It's one of the most important metrics for evaluating a strategy's real risk, beyond its average return.

Equity curve rising to 12,000, falling to 10,800 and then climbing to 12,500: a 10% drawdown
Illustrative example: drawdown is measured from the peak.

Losing Streaks

Sequences of consecutive losing trades. Even a strategy with positive expectancy can have long losing streaks — they're statistically expected, not necessarily a sign that something is "broken."

30 trades at a 50% win rate with a run of 6 losses in a row
Illustrative example: streaks are normal even with an edge.

Winning Streaks

Sequences of consecutive winning trades. They tend to breed overconfidence — it's worth checking whether the plan was still being followed during a winning streak, or whether risk quietly crept up.

Sample Size

The number of trades behind a given statistic. Drawing strong conclusions from 10 or 15 trades is very different from drawing them from 200. The fewer trades you have logged, the more caution your own metrics deserve.

Psychology and discipline

Trading Psychology

The study of how emotions — fear, euphoria, frustration, anxiety — affect your entry, management and exit decisions. Logging your emotional state alongside each trade helps surface those patterns over time.

Trading Discipline

The ability to consistently follow your plan and rules, especially when short-term results tempt you to deviate from them. Discipline is measured by comparing what you planned to do against what you actually did.

Emotional Trading

Happens when an entry, management or exit decision is driven by an in-the-moment emotion rather than by rules set in advance. Noticing it isn't always a bad sign — what matters is being able to identify it afterward by reviewing your journal.

Overtrading

Trading more frequently than your plan calls for, often while trying to "make up" for lost time or ride a streak. It's usually associated with higher total risk exposure and a drop in entry quality.

Revenge Trading

The tendency to jump into a new trade — often without a valid setup — right after a loss, trying to "win it back" quickly. It's one of the costliest patterns, and one of the easiest to spot by reviewing a timestamped journal.

Bars of each trade's size growing to 2x, 3x and 4x after several losses
Illustrative example of revenge trading.

Process and continuous improvement

Journaling

The habit of systematically logging every trade, along with its context, the reasoning behind it, and the outcome. It's the foundation of any improvement process — without your own data, it's very hard to know what's actually working.

Backtesting

Testing a strategy against historical data to see how it would have performed in the past. Useful for getting an initial read on a strategy, but historical performance does not guarantee future performance.

Candlestick chart with the future hidden, as in a bar-by-bar replay
Illustrative example of a replay without peeking.

Forward Testing

Testing a strategy in real time — on a demo account or with reduced risk — before trading it at full size. It complements backtesting because it captures real execution and the emotional component, which backtesting can't measure.

Trading Plan

The document where you define your strategy, your entry and exit criteria, your risk management and your rules of conduct. It serves as an objective reference for judging whether a trade was "good" regardless of whether it made or lost money.

Strategy Rules

The specific, checkable criteria that define when a trade is valid under your strategy: market conditions, required confirmations and invalidation filters. The more objective they are, the easier it is to audit your own consistency.

Educational, general content. Not financial advice or an investment recommendation: trading involves risk of loss.