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What a realistic year looks like

Lesson 4 · about 10 min

Before building a process it helps to know what the output of a working process looks like, because most people's picture is wrong in both directions. They expect either a steady climb or a lottery. A real year of swing trading is lumpy, mostly boring, and decided by a handful of trades and a handful of decisions not to trade.

Counting the trades

Start with frequency. A swing trader running a focused watchlist of 10 to 20 names, in a market that is trending about half the time, will typically find:

  • 1 to 3 valid setups a week when the regime is favourable.
  • 0 to 1 a week when it is not.
  • Several weeks a year with nothing at all.

Call it 50 to 80 trades a year. Not 500. If your process is generating three trades a day on a daily-chart method, the process is producing noise and the results will show it.

A plausible distribution

Here is what 60 trades, measured in R, might look like for a method that works. These are illustrative numbers, not a forecast, and they are deliberately unglamorous.

Outcome bucket Count Average R Total R
Full loss (−1R) 22 −1.0 −22.0
Small loss / scratch 8 −0.3 −2.4
Small win (0.5 to 1R) 10 0.8 8.0
Solid win (1 to 3R) 14 2.0 28.0
Large win (3R+) 6 4.5 27.0
Total 60 38.6

A few things to notice:

  • The win rate is 50% (30 of 60), and the trader still lost or scratched on half the attempts.
  • Six trades, 10% of the total, produced 70% of the net result. Cut those six and the year is roughly flat.
  • The average R per trade is 0.64. That is a good year. It does not look like one when you are inside it.

At 1% risk per trade, 38.6R is a 38.6% gross return before the sequence of wins and losses is accounted for, and before costs. At 0.5% risk it is about 19%. Neither number is promised; the point is the shape, not the size.

The shape of the equity curve

Equity (R)
 40 |                                          ___/
 30 |                                     ____/
 20 |                       ______/\_____/
 10 |          ____/\______/
  0 |___/\____/
-10 |
    +------------------------------------------------
     Jan   Mar   May   Jul   Sep   Nov

Long flat stretches. Two or three steps up. A drawdown in the middle that felt, at the time, like the method had stopped working. This is normal. A swing trader's year is usually made in two or three trending windows and preserved during the rest.

Drawdowns are part of the contract

With a 50% win rate, a run of six consecutive losses will happen about once every 64 sequences of six, which at 60 trades a year means you should expect at least one such streak most years. Six losses at 1R each is a 6R drawdown. At 1% risk that is 6% of the account. At 3% risk it is 18%, and the emotional damage at 18% usually leads to the sizing errors that turn it into 30%.

This is the reason the sizing module insists on small risk per trade. It is not caution for its own sake; it is what lets a normal losing streak stay normal.

Key idea: A good year of swing trading is 50 to 80 trades, a win rate near 50%, a handful of large winners carrying the result, and at least one losing streak that feels like the end. Plan for that shape.

What the good trader does differently

The trader who ends the year at +38R and the one who ends at −5R often had very similar trade lists. The difference tends to be:

  1. The −5R trader was in the market during the flat months at full size, paying tolls and taking full losses on setups the regime did not support.
  2. The −5R trader cut the large winners early, converting 4.5R trades into 1.5R trades because the profit felt too good to risk.
  3. The −5R trader moved stops on the losing trades, converting −1R into −2R.

None of those are analysis errors. They are process errors, and the rest of this course is a process designed to make them harder to commit.

Setting expectations in writing

Before the first trade, write three numbers down: the number of trades you expect this year, the win rate you expect, and the drawdown in R you will treat as normal. Sensible starting values are 60, 45%, and 8R. When the real numbers come in, compare them to the written ones instead of to your mood.

Try it: Using the distribution table above, recompute the total R if the six large winners had been exited at 1.5R instead of 4.5R. Then recompute if the 22 full losses had been allowed to run to −1.5R by moving stops. Note how a good year becomes a poor one without a single change in the setups chosen.

Recap

  • Expect 50 to 80 swing trades a year, not hundreds.
  • A win rate near 50% with winners about twice the size of losers is a workable edge; a few large winners carry the year.
  • The equity curve is flat most of the time and steps up in two or three trending windows.
  • A six-loss streak is statistically routine; small risk per trade keeps it survivable.
  • Poor years usually come from process errors, such as trading in bad regimes, cutting winners and moving stops, rather than from picking the wrong setups.

See it drawn

Original diagrams for the ideas on this page. Illustrative, not real market data.

An equity curve and its drawdownAn account balance rising over a year, falling from a peak to a trough, then climbing back to the old peak.ACCOUNT EQUITY$20k$12k$8k024681012TIME (MONTHS)PEAK $16,000TROUGH $12,000DRAWDOWN−25%RECOVERY
Equity curve and drawdown. An account balance plotted month by month. The fall from the $16,000 peak to the $12,000 trough is a 25% drawdown, and the shaded area lasts until the balance climbs back to the old peak.
How a position size is worked outAccount size, risk per trade and stop distance feed into one box giving the number of shares.ACCOUNT SIZE$25,000your capitalRISK PER TRADE1%of the accountSTOP DISTANCE$0.50entry to stopPOSITION SIZE500 sharesrisk budget: $25,000 × 1% = $250position size: $250 ÷ $0.50 = 500 shares
Working out a position size. Three numbers decide how big a trade is: the account, the share of it put at risk, and the distance from entry to stop. One percent of $25,000 is a $250 budget, and a $0.50 stop divides into that 500 times.
The win rate needed to break evenA falling curve: the more a winning trade pays relative to the amount risked, the smaller the share of trades that must win to break even.BREAKEVEN WIN RATE0%20%40%60%80%1:11:21:31:41:5REWARD-TO-RISK RATIO1:1 needs 50%1:2 needs 33.3%1:3 needs 25%breakeven win rate = 1 ÷ (1 + reward-to-risk)above the curve, wins more than cover losses
The win rate needed to break even. How often a method must win just to stay level, for each reward-to-risk ratio. At 1:1 half the trades must win, at 1:2 a third, and at 1:3 a quarter, because each win covers more losses.

Finished this module? Take the module quiz.