Files
catalyst/catalyst/support/issue_44.py
T

110 lines
4.1 KiB
Python

import pandas as pd
from catalyst import run_algorithm
from catalyst.exchange.exchange_utils import get_exchange_symbols
from catalyst.api import (
symbols,
)
def initialize(context):
context.i = -1
context.base_currency = 'btc'
def handle_data(context, data):
lookback = 60 * 24 * 7 # (minutes, hours, days)
context.i += 1
if context.i < lookback:
return
today = context.blotter.current_dt.strftime('%Y-%m-%d %H:%M:%S')
try:
# update universe everyday
new_day = 60 * 24
if not context.i % new_day:
context.universe = universe(context, today)
# get data every 30 minutes
minutes = 30
if not context.i % minutes and context.universe:
for coin in context.coins:
pair = str(coin.symbol)
# ohlcv data
open = data.history(coin, 'open', lookback,
'1m').ffill().bfill().resample(
'30T').first()
high = data.history(coin, 'high', lookback,
'1m').ffill().bfill().resample('30T').max()
low = data.history(coin, 'low', lookback,
'1m').ffill().bfill().resample('30T').min()
close = data.history(coin, 'price', lookback,
'1m').ffill().bfill().resample(
'30T').last()
volume = data.history(coin, 'volume', lookback,
'1m').ffill().bfill().resample(
'30T').sum()
print(today, pair, close[-1])
except Exception as e:
print(e)
def analyze(context=None, results=None):
pass
def universe(context, today):
json_symbols = get_exchange_symbols('poloniex')
poloniex_universe_df = pd.DataFrame.from_dict(
json_symbols).transpose().astype(str)
poloniex_universe_df['base_currency'] = poloniex_universe_df.apply(
lambda row: row.symbol.split('_')[1],
axis=1)
poloniex_universe_df['market_currency'] = poloniex_universe_df.apply(
lambda row: row.symbol.split('_')[0],
axis=1)
poloniex_universe_df = poloniex_universe_df[
poloniex_universe_df['base_currency'] == context.base_currency]
poloniex_universe_df = poloniex_universe_df[
poloniex_universe_df.symbol != 'gas_btc']
# Markets currently not working on Catalyst 0.3.1
# 2017-01-01
# poloniex_universe_df = poloniex_universe_df[poloniex_universe_df.symbol != 'bcn_btc']
# poloniex_universe_df = poloniex_universe_df[poloniex_universe_df.symbol != 'burst_btc']
# poloniex_universe_df = poloniex_universe_df[poloniex_universe_df.symbol != 'dgb_btc']
# poloniex_universe_df = poloniex_universe_df[poloniex_universe_df.symbol != 'doge_btc']
# poloniex_universe_df = poloniex_universe_df[poloniex_universe_df.symbol != 'emc2_btc']
# poloniex_universe_df = poloniex_universe_df[poloniex_universe_df.symbol != 'pink_btc']
# poloniex_universe_df = poloniex_universe_df[poloniex_universe_df.symbol != 'sc_btc']
print(poloniex_universe_df.head())
date = str(today).split(' ')[0]
poloniex_universe_df = poloniex_universe_df[
poloniex_universe_df.start_date < date]
context.coins = symbols(*poloniex_universe_df.symbol)
print(len(poloniex_universe_df))
return poloniex_universe_df.symbol.tolist()
if __name__ == '__main__':
start_date = pd.to_datetime('2017-01-01', utc=True)
end_date = pd.to_datetime('2017-10-15', utc=True)
performance = run_algorithm(start=start_date, end=end_date,
capital_base=10000.0,
initialize=initialize,
handle_data=handle_data,
analyze=analyze,
exchange_name='poloniex',
data_frequency='minute',
base_currency='btc',
live=False,
live_graph=False,
algo_namespace='test')