Looking for an Expert advisor based on Xgboost Machine Learning Algorithm -mql4- R or Python

2019.10.15 Integration

Specification

Hi  All ,

I am looking for a developer to create  an expert advisor  based on Xgboost machine learning algorithm(Classification)

with one of R Cran or Python libraries.Mql4 -python  bridge : (https://www.mql5.com/en/code/9991 or https://github.com/aktur/mt4-zeromq )

I  already created an  script to convert  my  indicators  and expert advisors into csv file.The script also converts the 

trainning objectives values into csv file.

The training objective means the  script   calculates the  values of Maximum favorable excursion (MFE), maximum adverse excursion(MAE) ,MFE / MAE(edge ratio) and profit and loss into  csv   file. 

I  am already taking  the burden from developer of indicators-expert advisors conversion from mql4.

My expectation   from developer is create  a profitable system with xgboost that should :

1-Maximize  the MFE / MAE(edge ratio)  since  the  signal/entry.

2-Maximize the correlation in PIPS between profit and loss indicator and  ATR  since the signal-entry .As  you know ATR calculates the high -low  difference in pips inN period.


-------The developer should  have experience in coding in XGBOOST algorithm and the developer should have knowledge to  deal with hyperparameter optimimazition and overfitting-underfitting,bias-variance  traps.

Thank you very much.



Responded

1
Developer 1
2019.10.15
Rating
5
(1)
Projects
1
0%
Arbitration
0
Overdue
0
Free
2
Developer 2
2019.10.23
Rating
5
(1)
Projects
2
0%
Arbitration
1
0% / 100%
Overdue
1
50%
Free

Project information

Budget
150 - 180 USD
For the developer
135 - 162 USD
Deadlines
from 7 to 10 day(s)

Customer

Placed orders1
Arbitrage count0