A portfolio return tells you how much your account changed. It does not tell you, by itself, how much risk you took, whether the market carried the result or whether you followed a repeatable process.
That does not make return useless. You still need it to measure progress in dollars and percentages. The mistake is treating one outcome number as a complete measure of trading skill. If you want to understand the decisions behind the result, pair your portfolio view with a trading journal.
Same return, different trading
Imagine two hypothetical traders who each finish the year up 10%.
Trader A holds a concentrated position in a sector that rises sharply. There is no planned stop, and one position accounts for most of the gain. The account also falls 18% from its peak before recovering.
Trader B takes 40 trades across two defined setups. The account's largest drawdown is 6%. Every entry has a planned exit and a fixed dollar risk. Both traders earned the same return, but they took different paths to get there.
Now reverse the comparison. Trader C returns 18% while Trader D returns 9%. You still cannot identify the more skilled trader from those figures alone. Trader C may have accepted far more downside or benefited from broad market strength. Trader D may have produced a smaller result with controlled risk in a difficult period.
Return answers "what happened to the account?" A useful review also asks "how did it happen?"
What portfolio return misses
The risk behind the profit
Suppose two hypothetical trades each earn $500.
| Trade | Initial risk | Profit | Result in R |
|---|---|---|---|
| Trade A | $100 | $500 | +5R |
| Trade B | $1,000 | $500 | +0.5R |
The dollar result is equal. The return relative to planned risk is not. An R-multiple compares the final result with the amount you accepted as 1R before entry. Trade A earned five times its initial risk. Trade B earned half its initial risk.
This measure also makes different position sizes easier to compare. A $200 gain can be a strong trade if you risked $80, while a $1,000 gain can be weak if you risked $5,000.
The path your account took
End values hide the trip between the start and finish. An account that rises from $20,000 to $22,000 after a 20% drawdown has a different risk profile from one that reaches the same value after a 5% drawdown.
Drawdown matters because recovering from a loss requires a larger percentage gain. A 20% fall takes a 25% gain to recover: $16,000 x 1.25 = $20,000. A 50% fall takes a 100% gain. Record the depth and length of drawdowns alongside return.
The market environment
A rising index can lift many portfolios. A falling or range-bound market can make the same setup harder to trade. Compare your account with a relevant benchmark over the same dates, but use that comparison with care. Your cash balance, position sizes and trade frequency may differ from the index.
The benchmark gives context. It does not prove alpha, which means return above a relevant benchmark after accounting for the risks taken. A more useful journal question is whether a setup worked in trending, range-bound and volatile periods.
Concentration and one-off winners
One large winner can dominate a short sample. If a single trade produced $4,000 of a $5,000 annual profit, the remaining trades earned $1,000 together. That may be a valid trend-following result, but you need to know how dependent the year was on one event.
Review results with and without the largest winner and loser. Do not delete them from the official record. The second view is a sensitivity check that shows how much the conclusion depends on an outlier.
Whether you followed your plan
A profitable rule break can teach the wrong lesson. Moving a stop and watching the price recover feels rewarding, even though the same behaviour can enlarge the next loss. A planned loss may show better execution than an improvised win.
For each trade, record whether the entry matched the setup, the initial stop was defined and the exit followed the written rule. Then read that process record beside P&L. The common trading mistakes your journal can reveal are easier to address when you can point to specific trades.
Four measures that add context
1. Expectancy
Expectancy estimates the average result per trade in your chosen unit. In R, the formula is:
(win rate x average winning R) - (loss rate x average losing R)
Take a hypothetical sample with a 45% win rate, an average winner of 2R and an average loser of 0.8R:
(0.45 x 2) - (0.55 x 0.8) = 0.90 - 0.44 = +0.46R
The recorded sample averaged 0.46R per trade. It does not promise the next trade or the next 40 trades will match that result. It gives you a common scale for comparing samples.
2. Maximum drawdown
Maximum drawdown measures the largest fall from an account peak to a later low before a new peak. Read it with return. A 12% return with a 4% maximum drawdown describes a different experience from a 12% return with a 25% drawdown.
Also record how long the account stayed below its previous peak. Two equal drawdowns can feel different if one recovers in a week and the other lasts six months.
3. Results by strategy
An overall result can hide one setup that pays and another that drains the account. Group trades by the setup you planned before entry. For each group, compare trade count, win rate, average winner, average loser and expectancy.
Do not decide from three or four trades. Small samples can swing on one result. Keep collecting clean examples and treat the early figures as provisional.
4. Rule adherence
Define rule adherence in terms you can answer after each trade. For example:
- Did the entry trigger occur?
- Did you set position size from the planned risk?
- Did you keep the original stop unless the written rule allowed a change?
- Did you record the exit reason?
If 34 of 40 trades followed every required rule, adherence for that chosen checklist is 34 / 40 = 85%. The percentage does not prove profitability. It tells you whether you tested the process you intended to test.
A monthly trading skill scorecard
Use one page for each review period:
| Question | Measure | What to inspect next |
|---|---|---|
| Did the account grow? | Return after fees | Deposits, withdrawals and benchmark context |
| Was the downside controlled? | Maximum drawdown and loss in R | Gaps, oversized positions and stop changes |
| Did the setups pay? | Expectancy by strategy | Trade count, average win and average loss |
| Did I trade the written plan? | Rule adherence | The most common broken rule |
| Did one trade dominate? | Largest winner as a share of net P&L | Results with the outlier shown separately |
Finish with one change you can test. "Wait for the daily close before entering" is measurable. "Be more disciplined" is not.
A worked 20-trade review
Suppose a hypothetical strategy records 20 trades:
- 8 winners averaging +1.8R
- 12 losers averaging -0.7R
- 17 trades that followed every required rule
Gross R from winners is 8 x 1.8R = 14.4R. Gross R lost is 12 x 0.7R = 8.4R. Net result is +6R, and expectancy is 6R / 20 = +0.30R per trade. Rule adherence is 17 / 20 = 85%.
Those numbers support a useful question: did the three rule breaks help or hurt? If they lost 2.4R together, the planned trades earned 8.4R. The next review should inspect why those entries happened and how to prevent the same exception.
Frequently asked questions
Is a high portfolio return evidence of skill?
It is evidence that the account gained value over the measured period, after adjusting for deposits and withdrawals. It becomes stronger evidence of skill when a larger sample also shows controlled risk, positive expectancy and consistent execution across different conditions.
Should I compare my return with the ASX 200?
Yes, if the index is relevant to what you traded. Match the dates and remember that your cash, concentration and trading costs differ. Use the comparison as context rather than a verdict.
How many trades do I need before expectancy is useful?
There is no universal cutoff. Ten trades provide less evidence than 50, and a strategy with rare large winners may need a longer sample. Keep the strategy definition stable and show the trade count beside the result.
Can a losing month still show good trading?
Yes. A valid strategy can have losing runs. Review whether losses stayed within planned risk and whether each trade met the setup. A loss does not excuse poor execution, and a win does not validate it.
Review the decisions behind the return
Keep portfolio return at the top of your review, then add the risk and process measures that explain it. If you are deciding which record belongs where, read Trading Journal vs Portfolio Tracker.
Swingfolio calculates performance measures from the trade data you record. Broker CSV imports stay in a review step before Save, so you can check the proposed trades first. Start the 30-day trial and review the decisions behind your next return.
Disclaimer: This article is general information and does not constitute financial advice. All trader profiles and worked trades are hypothetical. Past performance does not guarantee future results. Trading involves risk of loss.