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catalyst/catalyst/examples/marketplace/github-research.py
T
2018-02-16 11:50:16 -07:00

71 lines
2.0 KiB
Python

import pandas as pd
import matplotlib.pyplot as plt
from catalyst import run_algorithm
from catalyst.api import symbol, get_dataset
START = '2017-01-01'
END = '2017-12-31'
def initialize(context):
pass
def handle_data(context, data):
context.github = get_dataset('github')
context.github.sort_index(level=0, inplace=True)
context.zec = data.history(symbol('zec_usdt'),
['price', ],
bar_count=365,
frequency="1d")
context.xmr = data.history(symbol('xmr_usdt'),
['price', ],
bar_count=365,
frequency="1d")
def analyze(context=None, results=None):
ax1 = plt.subplot(211)
idx = pd.IndexSlice
df = context.github.loc[START:END].loc[
idx[:, [b'ZEC']], ['commits']].reset_index(
level='symbol', drop=True)
df.plot(ax=ax1, color='blue')
ax1.legend(loc=2)
ax1.set_title('Zcash')
ax2 = ax1.twinx()
context.zec['price'].loc[START:END].plot(ax=ax2, color='green')
ax2.legend(loc=1)
ax3 = plt.subplot(212)
idx = pd.IndexSlice
df = context.github.loc[START:END].loc[
idx[:, [b'XMR']], ['commits']].reset_index(
level='symbol', drop=True)
df.plot(ax=ax3, color='blue')
ax3.legend(loc=2)
ax3.set_title('Monero')
ax4 = ax3.twinx()
context.xmr['price'].loc[START:END].plot(ax=ax4, color='green')
ax4.legend(loc=1)
plt.show()
if __name__ == '__main__':
run_algorithm(
capital_base=1000,
data_frequency='daily',
initialize=initialize,
handle_data=handle_data,
analyze=analyze,
exchange_name='poloniex',
algo_namespace='algo-github',
base_currency='usdt',
live=False,
start=pd.to_datetime(END, utc=True),
end=pd.to_datetime(END, utc=True),
)