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working with Binary Option like IqOption #19

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rrfaria opened this issue Aug 15, 2020 · 1 comment
Closed

working with Binary Option like IqOption #19

rrfaria opened this issue Aug 15, 2020 · 1 comment

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@rrfaria
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rrfaria commented Aug 15, 2020

First of all thanks for this project.

I'm learning RL and it can help a lot.

I'm begginer with gym and openai env. So my doubt is:

Is it possible to convert it to trade binary option of 1 minute ?
For instance:
Iqoption binary options allow you do performe some actions in 1, 5 or more minutes and if you choose right direction you earn percentage of this transation. In this case the payout is 85%

I already tried convetional machine learning like, svm, random forest, svc, xgboost but all doesn't performe good, then I tried deep learning with lstm and keras to classify those actions. worked but also not performing good.
maximum accuracy I got was 63% and running it directly on practice account I could not have and good return.
(there is a websocket where I connect to run directly on practice account)

I noticed one strategy doesn't performe for long time, so because of that I'm trying to learn o openai gym.

another doubt

Could you pleaase teach me how gym works?
I fallowed same tutorial as you but I could not understand every thing

And I promise you I help you in your project if you teach me

image

@Draichi
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Draichi commented Aug 17, 2020

you need to check the cryptocompare api to get the data in the chosen granularity, or you can plug your own api.

right here

url = 'https://min-api.cryptocompare.com/data/histo{}?fsym={}&tsym={}&limit={}'.format(

on the get_datasets function

def get_datasets(asset, currency, granularity, datapoints, df_train_size=0.75):

@Draichi Draichi closed this as completed Aug 17, 2020
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