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https://github.com/wassname/catalyst.git
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fixed type-os in serialization code
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@@ -218,8 +218,8 @@ class PerformanceTracker():
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'period_start' : self.period_start,
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'period_end' : self.period_end,
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'progress' : self.progress,
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'cumulative_captial_used' : self.cumulative_perf.cumulative_capital_used,
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'max_capital_used' : self.cumulative_perf.max_capital_used,
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'cumulative_capital_used' : self.cumulative_performance.cumulative_capital_used,
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'max_capital_used' : self.cumulative_performance.max_capital_used,
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'last_close' : self.market_close,
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'last_open' : self.market_open,
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'capital_base' : self.capital_base,
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@@ -271,6 +271,7 @@ class PerformanceTracker():
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trading_environment=self.trading_environment
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)
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# increment the day counter before we move markers forward.
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self.day_count += 1.0
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# calculate progress of test
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@@ -2,6 +2,7 @@ import datetime
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import pytz
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import math
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import pandas
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import time
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from collections import Counter
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@@ -37,8 +38,8 @@ class TradeSimulationClient(qmsg.Component):
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self.current_dt = trading_environment.period_start
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self.last_iteration_dur = datetime.timedelta(seconds=0)
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self.algorithm = None
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self.attempts = 0
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self.max_attempts = 1000
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self.max_wait = datetime.timedelta(seconds=10)
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self.last_msg_dt = datetime.datetime.utcnow()
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assert self.trading_environment.frame_index != None
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self.event_frame = pandas.DataFrame(
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@@ -75,7 +76,7 @@ class TradeSimulationClient(qmsg.Component):
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if self.result_feed in socks and \
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socks[self.result_feed] == self.zmq.POLLIN:
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self.attempts = 0
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self.last_msg_dt = datetime.datetime.utcnow()
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# get the next message from the result feed
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msg = self.result_feed.recv()
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@@ -105,10 +106,10 @@ class TradeSimulationClient(qmsg.Component):
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# drained. Signal the order_source that we're done, and
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# the done will cascade through the whole zipline.
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# shutdown the feedback loop to the OrderDataSource
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if self.attempts > self.max_attempts:
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self.signal_order_done()
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else:
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self.attempts += 1
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wait_time = self.last_msg_dt - datetime.datetime.utcnow()
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if wait_time > self.max_wait:
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self.signal_order_done()
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def process_event(self, event):
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# track the number of transactions, for testing purposes.
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if(event.TRANSACTION != None):
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