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Migrated Account Fakery

Something I’ve noticed with many Darwins that have high D-Scores and appear to be doing well… many of them consist mainly of a migrated track record and rapidly go downhill after the migration date.

What is deceiving is the D-Score takes into account the migrated data.

Now, we all know it’s been proven that live MT4 accounts can be faked, so you can put 2 + 2 together here.

The unfortunate side effect is that traders who are building a genuine track record from scratch on Darwin and are doing reasonably well will still have a D-score much lower than the fake migrated track records.

Solution: Provide a filter to show accounts that have not been migrated. Adjust the D-Score to favour non-migrated data.


It already exists: “days in darwinex”.
It is the main parameter for my filters.
Days in Darwinex >360 and you wipe away migrations , 700 or 1000 days are even better.


Thank you.

It still doesn’t fix the D-Score problem though.
Migrated accounts with fake data still have a higher D-Score.

1 Like

They will fix it in the next revision of DScore but we have to wait for some months.


The seldom appearing bug in this criteria is still not solved.
So you should check it via backtester or number of candles in the candle chart.

Welcome to the :darwinex: community forum @SDTrader! It’s good to have you here!

Our CEO clarified Darwinex’s stance on the issue of migrated accounts in Why we don’t publish a DARWIN migration policy.

Regarding the D-score and the previous comment by @CavaliereVerde, this other forum conversation can be useful:


Hi Bianka

Thanks for the links and I’m glad to see you are looking at the D-Score.

However, my main concern is that new traders building a track record from scratch with Darwinex will not get any visibility to investors, because they will be overshadowed by migrated accounts track records, even if fake.

Without any visibility to potential investors (because there is so much noise), I have to question whether it is worth the effort to build up a track record from scratch, which is what I’m doing.

What I would like to see from Darwinex is the ability to filter % return on account since migration date. That way, we can see how the live account has really performed.

In fact why not have a category of top performing accounts since date of migration?




Great suggestion. Or filter return % from date Darwin was created and published.


I also agree with this suggestion.


Forgive me as I’m new, but one of my first thoughts as I looked at various track records that tripped and landed hard in the months after migrating was how to make sure the record is real.

An alternative to the above suggestion from @SDTrader : have a toggle switch (like the Show T/P & S/L toggle on the Invested Darwins page) to allow for display of all data (returns, drawdown, D-score) to EXCLUDE pre-migration data if you so wish. Then you could see both before AND after records in 2 separate browser windows?

Also how if at all does this factor into the quote, which would seem to be based on performance return since start of track record, regardless of whether it’s gained off or on Darwinex? Would this have any impact on anything derived from the quote (a % off a higher quote is obviously a higher real number- 5% of 100 is 5, 5% of 200 is 10)?

I’m not a mathematician/statistician but just pondering implications of a potentially artificially high quote with a dodgy pre-Darwin track record.


The toggle to exclude pre-migration or (better!) unpublished data was accepted by @juancolonbo here

and should come to reality. Of course I don’t know the release plan.

I would probably give all new migrated accounts that had a positive expectancy a base level D score that’s slightly lower than the average of the worst performing but proftable fully migrated accounts of 12 months or more.and off the record allocate each account a maximum potential D score number based on their premigrated account being fully genuine … then increase or decrease their D score based on the positive or negative correlation of premigrated results vs migrated ie. the premigated account averages a monthly return of 10% over 12 months and the migrated account averages 10% over 3 months their D score increases proportionally based on time and their maximum potential D score… so in this case a 25% increase of the range between their base level D score based and their maximum potential D score as the probability of their account gaming the system decreases. If the account replicates the premigrated account for the full 12 months then 100% of the maximum potential D score is allocated and then it’s D score is treated exactly like any other account in the ecosystem.