I spent last weekend overviewing trading systems with my favorite money management software. Normally, when traders think of a great trading system, they expect fantastic results like 80% winners and every trade has to make $2 for every $1 that it loses.
The edge in real trading systems typically falls wildly short of that goal post. Rather than convince you with software, try running the numbers in your head.
Say that we do 100 trades with a $100 Kontostand. 80% of them win and make $2, Das ist $160 im Ergebnis. 20% of them lose $1, Das ist $20 in total losses. Now ask yourself, “Does it sound plausible to earn a 40% return after only 100 Facharbeit?”
The answer to the question probably correlates with your trading experience. If you answered yes, then I also have some oceanfront property to sell you in Arizona. Experience should make it clear that such numbers are fairy-tale optimistic.
Las Vegas makes billions of dollars every year with a total edge of 0.5%. You don’t need to hit grand slams to take money out of the markets. Little base hits will get you there, auch.
What is high-probability
At the risk of moving the goal posts, I define high probability as anything above 50%. Many traders comes across the word “high probability” and start drooling over 80-90% winners.
Remember that winning percentage isn’t everything. If we play a game where you win 99% of the time but lose $200 wenn Sie verlieren, you’d quickly figure out to not play. The name of the game is to walk away with a profit over time. It doesn’t matter how you get there.
A high probability, one which exceeds 50%, offers the unique advantage that you can aggressively use money management to enhance returns. High probabilities also come with the unique property of offering long streaks of consecutive winners. Consecutive losing streaks are comparatively rare.
Money management in a real strategy
One of my clients trades a strategy with 60% winners. The ratio of the average winner to the average loser. Das heißt, the average winner earns $1. The average loser loses $1.
Because it wins 60% der Zeit, that means it makes $60 for every $40 it loses, which is a profit factor of 1.5. Nicht schlecht.
A strategy with this property expects to earn a return of 40.9% nach 200 trades if it risked 1% of the original account balance per trade.
Making a minor change so that the strategy risks 1% of the current balance per trade makes a huge difference in the average return. It jumps nearly 10% to an average return of 50.7%.
Festen gebrochene Money-management is the idea of keeping the risk proportional to the current balance. Mit einer $10,000 account as an example, a trade risking 1% of the balance risks $100. If the account balance increased to $11,000, each trade now risks $110. The dollar risk grows with time while the percentage risk remains unchanged – Daher, it’s fixed fractional.
A unique money management idea
Remember how I mentioned that high probability systems are prone to streaks of winners and losers? Check out what happens if you increase the risk after each winning trade by 10%.
The median outcome gets pulled up enormously. The average isn’t jumping to 63% because of a handful of massive returns. Stattdessen, almost every series in the test experiences a huge increase in performance.
The average balance after 200 trades jumps yet another 12% für eine 63% Rückkehr. The only disadvantage is that the worst case scenario dropped from a 6.8% loss to a 10.3% Verlust.
Applying the rule so that consecutive winners only increase their risk when the balance is greater than the starting balance makes the worst case scenario slightly less bad. It comes at the price of a slightly lower average and median return.
Fazit
You’d be a fool to stick with fixed risk if your system offers offers high probability winners without huge losing trades. Simple steps like fixed fractional money management can substantially increase profits. Applying a trick like increasing the risk by 10% after each consecutive winner offers another huge performance boost.
The average outcome started at a healthy 41%, which is already stellar. Applying the simple techniques outlined here increased the average performance after 200 trades to a 63% Rückkehr. That’s some world class trading.
maX sagt
This is a great post. Quick question. I am on a losing streak and losing 1% of current value. Then I make a profitable trade, and thus risk 10% on the following trade. And it wins. Then risk another 10%. But then a loser. The position size then goes back to bets of 1% of current value until I hit another winner?
Shaun-Overton sagt
Hey maX,
That’s close, although I think you misunderstood the 10% part. The first winner earns 1%. Jetzt, the second trade risks 1.1% (ein 10% increase). Assuming that the 2nd trade wins, the third trade risks an extra 10% der 1.1%, Das ist 1.21%. Und so weiter…
maX sagt
Danke Shaun. You start over at 1% wenn Sie verlieren, and when the winning streak starts again you start laddering up 1.1,1.21….?
Shaun-Overton sagt
Genau!
Vince sagt
Hallo Shaun,
where can i get this position sizing simulator?
Best,
Vice.
Shaun-Overton sagt
We’re planning to sell it within the next few months via Trade Empowered. It’s not available yet.
Chris sagt
where can I get this software? it would be fun to play around with. Prost
Shaun-Overton sagt
Hey Chris,
Bitte email Info@onestepremoved.com if you’d like to purchase it. The cost is $99.
–Shaun