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The Holy Grail Of Making Money: Compound Interest

Compound interest is a mathematical principle that creates those staggering growth curves we have all seen. Understanding compound interest is of great importance as a trader because it teaches you many lessons that are critical to internalize if you want to stay on top of your game.


Compound interest 101

Compound interest works so well because you let your money work for you. The graphic below illustrates the power of compound interest. The starting point is a trading account with $10,000 and a trading system with a winrate of 55%, an average position size of 2% and the average Reward:Risk ratio (or R-multiple) is 2. If you multiply these figures out, you get a trading system with a trade expectancy of 1.3% – this means that every trade has an expected outcome of 1.3% over the long-term.

Recap – expectancy calculation:

General Formula: (Winrate * Position Size * Reward:Risk ) – [ (1 – Winrate) * Position Size] = Trade Expectancy


So with a trading account of $10,000 the first trade has an expected outcome of +$130. After some more trades, your account has grown to $15,000 – at this point, the 1.3% are +$195 per trade. Although the change from $130 per trade to $195 per trade doesn’t seem big, but keep in mind, you don’t have to do much different; you are still trading the same system with the same metrics.





After some more trades, your account is now at $20,000 and the 1.3% are now worth $260. This is still the “slow growth” period for your trading account and the toughest period for any trader.

After making it through the slow growth period, things start to get interesting. After 200 trades, the 1.3% will be worth almost $1700 per trade – following the same trading routine. This is when exponential growth really starts to kick in. After 500 trades, the 1.3% are worth an incredible $81,000 per trade.

“Compound interest is the eighth wonder of the world. He who understands it, earns it ... he who… Click To Tweet



Word of caution: Although exponential growth is not a theory but a mathematical principle that is irrefutable, you have to be aware of some trading specific issues. As your trading account growths, you will experience some “size-related issues”, meaning that getting a fill might become harder and entering a trade with one large position will become increasingly difficult. 


The lessons of compound interest


Developing patience is the most important factor when it comes to using the principle of compound interest. Most amateur traders make some calculations and then get too excited about where they could be in 100, 200 or 500 trades. But back in reality they get frustrated because their $2,000 account is not producing the returns they are after.

90% of your trading journey will be slow and “boring” because compound interest only really kicks in once your trading account reaches a certain size. Thus, most traders will never get there because they give up too early and change trading systems, hoping to find something that will generate greater returns faster. Can you accept to make little money for the next few years in exchange for a potentially high reward at some point far in the future?

The graphic below shows a simulation of a trading account with relatively conservative metrics (winrate 50% and an average Reward:Risk ratio of 1.5). Most traders will only look at the right and only see how much the account grew. But they don’t understand that it took years of low returns to get there (this simulator is available in the Edgewonk trading journal).





Once you have understood that you need to be patient, it comes down to applying consistency to your performance. Everything significant that has ever been achieved is based on the principle of consistency. The tallest building in the world started with one brick and by consistently laying brick upon brick. Arnold Schwarzenegger became the best body builder of all times because he consistently worked out every single day, building his body little by little. The Fortune500 companies got to the top by making customers happy – one at a time – and by continuously making small improvements.

As a trader, you have to bring your best game every single day. And even if it looks as if your trading account will never amount to anything meaningful, keep in mind that the principle of compound interest is irrefutable and it works every single time without exception – it’s a law of nature.


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  1. Agostinho Oliveira

    Very good article.

    Thank you.

    However when we want to calculate the average rate of return of a system like the one in the example (Winrate of 55%, an average position size of 2% and the average Reward:Risk ratio = 2) the correct formula is:

    [(1+Position Size * Reward:Risk )^(Winrate)] * [(1-Position Size)^(1 – Winrate)] – 1

    With the example data we get 1.256% as expected gain per trade.

    At first trade we get $125.6.

    At trade n. 500 = $63,613.42


    • Hello Agostinho,

      thank you for leaving a comment. You can look at it like this:

      Expected value of a winner: 0.02 * 2 = 0.04 = 4%
      Expected value of a loser: 0.02 = 2%
      Expected value of any one trade= (0.04 * 0.55) – (0.02 * 0.45) = 0.013 = 1.3%
      When starting with $10,000, 1.3% equals $130.

      Best regards

      • Agostinho Oliveira

        Hi Rolf!

        Suppose that after “n” trades you have won “w” times and lost “l” times.

        Your initial bankroll (Bi) and final bankroll (Bf) will be related by this formula:

        Bf(n) = [(1+Position Size * Reward:Risk )^(w)] * [(1-Position Size)^(l)] * Bi

        Your gain is:

        Gain(n) = [(1+Position Size * Reward:Risk )^(w)] * [(1-Position Size)^(l)]

        The geometric mean, G, is the limit as n approaches infinity of the nth root of the gain:

        G = lim n->oo [(1+Position Size * Reward:Risk )^(w/n)] * [(1-Position Size)^(l/n)]

        which is

        G = [(1+Position Size * Reward:Risk )^(Winrate)] * [(1-Position Size)^(lossrate)]


        G = [(1+Position Size * Reward:Risk )^(Winrate)] * [(1-Position Size)^(1 – Winrate)]

        With the example data we get:

        G = [(1+0.02*2)^(0.55)] * [(1-0.02)^(1–0.55)] = 1.012558376

        The Average Rate of Return = Geometric Mean – 1


        ARR = 1.012558376 – 1 = 0.012558376 = 1.256 %

        At the “n” trade the gain result will be = ARR * [(1+ARR)^(n-1)] * Bi

        n=1 => 0.012558376 * (1.012558376 ^ 0) * 10.000 = $125.58

        n=500 => 0.012558376 * (1.012558376 ^ 499) * 10.000 = $63,613.42


  2. Agostinho Oliveira

    Hi Rolf.

    I can´t understand.

    Why my reply is deleted every time?

    What is wrong?



    • Hello Agostinho,

      I haven’t seen any comment from you. I use a spam protection plugin that filters out 100 – 150 comments every day.
      Sometimes it catches comments that should not be flagged if it includes suspicious words. I will go through the spam comments now.

      Sorry about that. I did not mean to delete constructive comments.

      Update: I just found your comments and I reactivated it. It was buried under 2,491 spam comments. Probably due to the excess amount of math signs.


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