Genetic Option : Initial population

I believe this already exists and I do it all the time.

When this is selected, you can paste or load strategies in there that you would like to begin evolving from. The rest of the initial population will be randomly generated

This should handle what you are trying to do. If not, please elaborate

Thank you kainc301 for your answer.

1/  If we  have an Initial Population size required of 3000 ,   you select a Generated Decimation Coefficient of 3  with the option "Use strategies from Initial population as evolution start" 

This mean that your initial population will be 9000.

if you have 15000 stratégies in your Initial Population databank,    

Then :

- SQX will never use the 15000 stratégies, only 9000 of them.

- SQX will never produce random stratégies as the 9000 initial population will be filled with the stratégies in your Initial Population databank

If the initial population is filled with the stratégies of  the Initial Population databank, we still need to add a percentage of random stratégies .

It is not because we give an initial population that we don't want randomness as well.

Otherwise we will  have a lot of similar stratégies  as we have always the same parents as initial population without  randomness.

This can be a source of  overfitting  stratégies.

2/ if we was able  to select a databank as initial population databank ,  it would not be necessary to copy and paste the stratégies all the time from the results databank to the "Initial population databank"  in the Build Task

Furthermore, we may have to stop and restart the task for SQX to read this new stratégies in the Initial population databank. (we don't have this information in the documentation)

it will lead only to 2 things - overoptimising and duplicates

Thank you hankeys for your answer.

Here is what I found :

In my experience , If I don't have any inital population , I can produce only 60 Stratégies per hour. (However, this Build is necessary to have a good diversify initial population)

If I have around 18000 stratégies as Initial population, I produce around 3000 stratégies per hour without initializing the initial population

If I update the initial population, and restart the Buil task, I am having around 6000 new stratégies the first hour, then it is decreasing.

 Which is normal, if you have always the same initial population, it take more and more time for SQX to find new strategies from the same parents.

 Here can see stats I noted last night as an example .

This is why, it would be interesting to speed up the process by getting the initial population directly from a results databank (a chosen databank), like that we would not have to copy and paste all the time from a results databank to the initial population databank.

Of course, it is necessary to filter the results databank before using them in as initial population

Thank you hankeys for your answer.

Here is what I found :

In my experience , If I don't have any inital population , I can produce only 60 Stratégies per hour. (However, this Build is necessary to have a good diversify initial population)

If I have around 18000 stratégies as Initial population, I produce around 3000 stratégies per hour without initializing the initial population

If I update the initial population, and restart the Buil task, I am having around 6000 new stratégies the first hour, then it is decreasing.

 Which is normal, if you have always the same initial population, it take more and more time for SQX to find new strategies from the same parents.

 Here can see stats I noted last night as an example .

This is why, it would be interesting to speed up the process by getting the initial population directly from a results databank (a chosen databank), like that we would not have to copy and paste all the time from a results databank to the initial population databank.

Of course, it is necessary to filter the results databank before using them in as initial population.

As the strategies are always going in the same databank, I didn’t notice any duplicate. it may be possible, but I didn’t find any duplicate.

In my testing, the correlation of the filtered strategies a under arround .3 in my portfolio.

It don’t seem that I have to many duplicate with this low correlation  number, however this is possible.

Regarding overoptimising, I tested StrategiesQuantX on EURUSD for an OOS3 for 2017 , then 2018, the results are profitable. I am working on 2019.

If I notice any duplicate, or if I see overoptimization , I will report it here for the community.