What is divergence?

The divergence is the difference between the return obtained by the investors in a DARWIN, and the theorical return of a DARWIN.

What is it?

The divergence is the difference between the return obtained by the investors in a DARWIN, and the theorical return of a DARWIN. It is shown as a percentage and its value can be either negative or positive.

From a technological standpoint, it is impossible to replicate the traders' and investors' trades identically, therefore there will always be some divergence.

How is it caused?

Divergence has three causes.

1. Base currency

When the investor's Wallet currency differs from the DARWIN's base currency, there can be small differences in the value of trades, due to the value of both currencies whilst the trade remains open. Their long term development is random, therefore trades can have both positive and negative divergence due to base currency.

2. Latency

Due to technological reasons, the investors' trades are always replicated with a delay of a few seconds compared with those of the traders and, in that brief space of time, the market conditions can alter, and as such the price at which the trades are executed. As before, the divergence's development is random.

3. Investor volume

This is the main cause of systematic divergence. It happens when the capital under management in a DARWIN important enough than when it tries to execute a large volume trade, this causes slippage in the market price, offering an execution price to investors worse than that obtained by the trader. Under the same conditions, the higher the volume invested in a DARWIN, the higher the negative impact will be on the divergence. In the following point we will see the estimated value of this divergence, whose information you can find in the DARWIN's page.

How can we analyse the divergence?

You can find information about a DARWIN's divergence in the following sections:

Divergence in %

In the DARWIN's ''Investor's'' tab, you will see a graph with a simulation which compares the % return that would have been obtained by the supposed investors compared with the DARWIN, for the specified time period, and taking into account the current monthly divergence.

Divergencia GTD

Remember that, this estimate is only calculated on the divergence caused by the volume of investors. It's easy to see how, no matter how small the negative divergence, it ends up having a big importance in the long term.

Divergence by order

Also in the ''Investors'' tab, there is a graph with dots in different colours and sizes, which represent the orders executed for investors. The vertical axis represents the latency in milliseconds, and the horizontal axis shows the divergence in Pips (red dot = negative divergence; green dot = positive divergence). Here we can see the difference in execution between the trader and the investors over a maximum of the last 100 orders.

Burbujas divergencia

Monthly divergence

Furthermore, from the information shown in the "Investors" tab on the DARWIN's page, you can see the latest calculation of the estimated monthly divergence caused by the volume of investors taking into account the most recent orders.

Divergence latency

Evolution of divergence over time

As mentioned, the monthly divergence we display takes into account the last 100 orders of investors, and from those 100, only the orders that get executed with a moderate latency, i.e. in less than 400 ms or average latency if average latency is higher than 400 ms.

This is because in all other cases, divergence can be caused by the price movement happening in the interval between the trader’s trade and investors’ replicating trade. This could distort the divergence calculation.

As a consequence, in some cases, calculated divergence can be very erratic due to the huge dispersion produced by the trader trading systematically in highly volatile conditions.

This can result in the divergence data not consistently reflecting the reality of the type of trading undertaken by the DARWIN and the real divergence that investors suffer.

For example, at some point we had to close DARWIN PME because, despite its history of negative divergence, there was a brief period during which its divergence became positive. Many investors dared to invest in it until, on one unfortunate day, they suffered a massive negative divergence.

Thanks to the chart displaying evolution of divergence over time - available under the "Investors" tab, as well - investors are able to:

  • Identify cases like DARWIN $PME, historically high divergence without associated increase in investment volume.
  • Know whether current divergence – especially if its negative – is circumstantial due to good / bad execution of a few isolated orders or is in effect caused by an increase in investment volume.

How to see your investments' divergence

From the DARWIN's Terminal, in the ''Invested DARWINs' tab, you will be able to see the live accumluated divergence that you have in each of the DARWINs you have invested in. You only have to go to the ''Divergence'' column.


A divergence of 0.39 % means that the return of your investment in this DARWIN is 0.39 % higher than the notional return of the DARWIN since you invested in it.

You can calculate the notional return of the DARWIN dividing the DARWIN's current quote by the average quote at which you bought the DARWIN. The difference between this return and your actual return is your investor divergence.


When it comes to analysing DARWINs, we recommend you bear these tips in mind.

Do not undervalue the monthly divergence

No matter how small it may be, it will accumulate over time, and could end up being very significant if you stay invested in a DARWIN over a large period of time.

Divergence due to base currency

If you invest in DARWINs with a base currency different to yours, you must take into account that, the longer the traders' trades last, the more likely you are to see significant divergence due to base currency. But you must also bear in mind that if you you stay invested for a relatively long period of time in that DARWIN, due to its random behaiour, the divergence tends to balance itself out.

Without investors we cannot estimate the divergence

Divergence can only be calculated for DARWIN that already have investors which have sent at least 10 orders.

Divergence less than 400 ms

We consider that divergence with a latency less than 400 miliseconds has been caused by investor volume. Therefore, orders with a latency above 400 ms are not taken into account when calculating the monthly divergence.

Divergence over 400 ms

If the divergence is the result of high latency, over 400 milliseconds, we consider that this is down to technological causes, which could be a delay in confirming the order executed by the trader on behalf of our Liquidity Providers. This could be during important new releases with a noticeable increase in volatility or during market rollover when liquidity is scarce. This result is largely random and sometimes will go in your favour, and other times against you, therefore the effect balances itself out over time in the long run.

Beware of DARWINs with systematically negative divergence without an increase in investment volume

Investors should bear in mind that DARWINs that start having systematically negative divergence without an increase in investment volume, are DARWINs that – with very few exceptions – have offered few guarantees in the past.

Systematically negative divergence without an increase in investment volume, very probably means that the traders orders are identified by liquidity providers as toxic flow.

This is normally due to the trader trading in highly volatile / low liquidity conditions, or the trader using an EA that’s sold also outside of Darwinex.

Divergence in demo portfolios

Divergence in demo portfolios is not indicative of divergence in live portfolios.

Demo portfolio orders, are sent from a demo server. Being a different server, the execution time inside the Darwinex system is different.

Demo execution does simulate market depth but not the differences that might exist between the market depth seen in the order book and the real market depht (which do exist in a live environment). On the market side of the execution, there are again differences in latency between demo and live orders.

Do you want to learn more?

If you want to learn more about divergence, we recommend this recording of this webinar presented by Darwinex CEO Juan Colón: