def upload_file(path):
"""
Put file on s3
"""
init()
s3 = session.client('s3')
return s3.upload_file(path, bucket_name, path)
def download_file(path):
"""
Get file from s3
"""
init()
s3 = session.resource('s3')
s3_object = s3.Object(bucket_name=bucket_name, key=path)
return s3_object.download_file(path)
def xgb_cron_pred(model_type='trade'):
"""
- Loads model for the given unique trading pair, gets the latest data
availble for that trading pair complete with
"""
init()
for exchange_id, trading_pair in h.yield_unique_pair(return_api=False):
print(exchange_id, trading_pair)
def cron_pred():
"""
- Loads model for the given unique trading pair, gets the latest data
availble for that trading pair complete with
"""
init()
all_preds = pd.DataFrame(columns=['close', 'api', 'trading_pair',
'exchange_id', 'timestamp'])
model_type = 'neural'
def test_trade_model():
init()
exchange_id = 'hitbtc'
trading_pair = 'eos_usd'
period = 300
start = '03-01-2019'
df, dataset = h.get_data(exchange_id, trading_pair, period, start, n=8000)
print(score)
print(preds)
exchange_id = 'hitbtc'
trading_pair = 'btc_usd'
period = 300
start = '03-01-2019'
df, dataset = h.get_data(exchange_id, trading_pair, period, start, n=15000)
print(score)
print(preds)
def cron_train():
"""
- Loads model for the given unique trading pair, gets the latest data
availble for that trading pair complete with
"""
init()
# begin inter imports from cryptolytic.start import init # init call early in imports so that cryptolytic.session imports correctly on # Windows operating systems init() import cryptolytic.model.model_framework as model_framework import cryptolytic.model.data_work as dw import cryptolytic.data.historical as h import cryptolytic.data as d import cryptolytic.data.sql as sql import cryptolytic.model.model_framework as mfw from cryptolytic import session import cryptolytic.model.xgboost_model as xgmod import cryptolytic.data.aws as aws import cryptolytic.model.xgboost_model as xtrade import cryptolytic.model.xgboost_arb_model as xarb import pickle # tensorflow imports import tensorflow as tf # begin general external imports import os import ta import pandas as pd import time from io import StringIO import gc