Metadata-Version: 2.0
Name: alpha-factory
Version: 0.1.0
Summary: generate alpha factors
Home-page: UNKNOWN
Author: Yili Peng
Author-email: yili.peng@outlook.com
License: UNKNOWN
Keywords: quant factor model
Platform: UNKNOWN
Requires-Dist: RNWS

sample:
from alpha_fatcory_v2 import generator_class
from RNWS import read
import numpy as np
import pandas as pd
df=pd.read_csv('.frames.csv')
factor_path='./alpha_fatcory_v2_test'
frame_path='./packages'
exr=read.read_df('./exr',file_pattern='exr',start=20160101,end=20160201)
cap=read.read_df('./cap',file_pattern='cap',header=0,dat_col='cap',start=20160101,end=20160201)
open_price,close,vwap,high,low,volume=read.read_df('./mkt_data',file_pattern='mkt',start=20160101,end=20160201,header=0,dat_col=['open','close','vwap','high','low','volume'])
ind1,ind2,ind3=read.read_df('./ind',file_pattern='ind',start=20160101,end=20160201,header=0,dat_col=['level1','level2','level3'])
parms={'exr':exr
       ,'cap':cap
       ,'open_price':open_price
       ,'close':close
       ,'vwap':vwap
       ,'high':high
       ,'low':low
       ,'volume':volume
       ,'ind1':ind1
       ,'ind2':ind2
       ,'ind3':ind3}

# generate starting:
gc=generator_class(df,factor_path,**parms) 
gc.generator(batch_size=3)
gc.generator(batch_size=3)
gc.output_df(path=frame_path+'/frames_new.csv')

# generate continue:
with generator_class(df,factor_path,**parms) as gc:
    gc.reload_df(path=frame_path+'/frames_new.csv')
    gc.reload_factors()
    gc.generator(batch_size=3)
    gc.output_df(path=frame_path+'/frames_new2.csv')


