Files
catalyst/zipline/finance/returns.py
T

46 lines
1.3 KiB
Python

import pandas
from datetime import timedelta
from collections import defaultdict
from zipline.messaging import BaseTransform
class ReturnsTransform(BaseTransform):
def init(self):
self.by_sid = defaultdict(self._create)
def transform(self, event):
cur = self.by_sid[event.sid]
cur.update(event)
self.state['value'] = cur.returns
return self.state
def _create(self):
return ReturnsFromPriorClose()
class ReturnsFromPriorClose(object):
"""
Calculates a security's returns since the previous close, using the
current price.
"""
def __init__(self):
self.last_close = None
self.last_event = None
self.returns = 0.0
def update(self, event):
next_close = None
if self.last_close:
change = event.price - self.last_close.price
self.returns = change / self.last_close.price
if self.last_event:
if self.last_event.dt.day != event.dt.day:
# the current event is from the day after
# the last event. Therefore the last event was
# the last close
self.last_close = self.last_event
# the current event is now the last_event
self.last_event = event