Files
catalyst/zipline/test/test_perf_tracking.py
T
fawce 366405927d changed date serialization to use a tuple of all properties rather than the epoch time to eliminate any timezone sensitivity.
add performance tracker unit tests, made various fixes to perf tracker. still have a hang on exit for zipline/test/test_finance.py:FinanceTestCase.test_orders and zipline/test/test_finance.py:FinanceTestCase.test_performance. pinging realdiehl for help...
2012-03-11 16:21:10 -04:00

525 lines
15 KiB
Python

import unittest
import copy
import random
import datetime
import zipline.test.factory as factory
import zipline.util as qutil
import zipline.finance.performance as perf
import zipline.finance.risk as risk
class PerformanceTestCase(unittest.TestCase):
def setUp(self):
qutil.configure_logging()
self.benchmark_returns, self.treasury_curves = \
factory.load_market_data()
self.trading_environment = risk.TradingEnvironment(
self.benchmark_returns,
self.treasury_curves
)
self.onesec = datetime.timedelta(seconds=1)
self.oneday = datetime.timedelta(days=1)
self.tradingday = datetime.timedelta(hours=6, minutes=30)
random_index = random.randint(
0,
len(self.trading_environment.trading_days)
)
self.dt = self.trading_environment.trading_days[random_index]
def tearDown(self):
pass
def test_long_position(self):
"""
verify that the performance period calculates properly for a \
single buy transaction
"""
#post some trades in the market
trades = factory.create_trade_history(
1,
[10,10,10,11],
[100,100,100,100],
self.dt,
self.onesec,
self.trading_environment
)
txn = factory.create_txn(1,10.0,100,self.dt + self.onesec)
pp = perf.PerformancePeriod({}, 0.0, 1000.0)
pp.execute_transaction(txn)
for trade in trades:
pp.update_last_sale(trade)
pp.calculate_performance()
self.assertEqual(
pp.period_capital_used,
-1 * txn.price * txn.amount,
"capital used should be equal to the opposite of the transaction \
cost of sole txn in test"
)
self.assertEqual(len(pp.positions),1,"should be just one position")
self.assertEqual(
pp.positions[1].sid,
txn.sid,
"position should be in security with id 1")
self.assertEqual(
pp.positions[1].amount,
txn.amount,
"should have a position of {sharecount} shares".format(
sharecount=txn.amount
)
)
self.assertEqual(
pp.positions[1].cost_basis,
txn.price,
"should have a cost basis of 10"
)
self.assertEqual(
pp.positions[1].last_sale,
trades[-1]['price'],
"last sale should be same as last trade. \
expected {exp} actual {act}".format(
exp=trades[-1]['price'],
act=pp.positions[1].last_sale
)
)
self.assertEqual(
pp.ending_value,
1100,
"ending value should be price of last trade times number of \
shares in position"
)
self.assertEqual(pp.pnl, 100, "gain of 1 on 100 shares should be 100")
def test_short_position(self):
"""verify that the performance period calculates properly for a \
single short-sale transaction"""
trades_1 = factory.create_trade_history(
1,
[10,10,10,11],
[100,100,100,100],
self.dt,
self.onesec,
self.trading_environment
)
txn = factory.create_txn(1, 10.0, -100, self.dt + self.onesec)
pp = perf.PerformancePeriod({}, 0.0, 1000.0)
pp.execute_transaction(txn)
for trade in trades_1:
pp.update_last_sale(trade)
pp.calculate_performance()
self.assertEqual(
pp.period_capital_used,
-1 * txn.price * txn.amount,
"capital used should be equal to the opposite of the transaction\
cost of sole txn in test"
)
self.assertEqual(
len(pp.positions),
1,
"should be just one position")
self.assertEqual(
pp.positions[1].sid,
txn.sid,
"position should be in security from the transaction"
)
self.assertEqual(
pp.positions[1].amount,
-100,
"should have a position of -100 shares"
)
self.assertEqual(
pp.positions[1].cost_basis,
txn.price,
"should have a cost basis of 10"
)
self.assertEqual(
pp.positions[1].last_sale,
trades_1[-1]['price'],
"last sale should be price of last trade"
)
self.assertEqual(
pp.ending_value,
-1100,
"ending value should be price of last trade times number of \
shares in position"
)
self.assertEqual(pp.pnl,-100,"gain of 1 on 100 shares should be 100")
#simulate additional trades, and ensure that the position value
#reflects the new price
trades_2 = factory.create_trade_history(
1,
[10,9],
[100,100],
trades_1[-1]['dt'] + self.onesec,
self.onesec,
self.trading_environment
)
#simulate a rollover to a new period
pp2 = perf.PerformancePeriod(
pp.positions,
pp.ending_value,
pp.ending_cash
)
for trade in trades_2:
pp2.update_last_sale(trade)
pp2.calculate_performance()
self.assertEqual(
pp2.period_capital_used,
0,
"capital used should be zero, there were no transactions in \
performance period"
)
self.assertEqual(
len(pp2.positions),
1,
"should be just one position"
)
self.assertEqual(
pp2.positions[1].sid,
txn.sid,
"position should be in security from the transaction"
)
self.assertEqual(
pp2.positions[1].amount,
-100,
"should have a position of -100 shares"
)
self.assertEqual(
pp2.positions[1].cost_basis,
txn.price,
"should have a cost basis of 10"
)
self.assertEqual(
pp2.positions[1].last_sale,
trades_2[-1].price,
"last sale should be price of last trade"
)
self.assertEqual(
pp2.ending_value,
-900,
"ending value should be price of last trade times number of \
shares in position")
self.assertEqual(
pp2.pnl,
200,
"drop of 2 on -100 shares should be 200"
)
#now run a performance period encompassing the entire trade sample.
ppTotal = perf.PerformancePeriod({}, 0.0, 1000.0)
for trade in trades_1:
ppTotal.update_last_sale(trade)
ppTotal.execute_transaction(txn)
for trade in trades_2:
ppTotal.update_last_sale(trade)
ppTotal.calculate_performance()
self.assertEqual(
ppTotal.period_capital_used,
-1 * txn.price * txn.amount,
"capital used should be equal to the opposite of the transaction \
cost of sole txn in test"
)
self.assertEqual(
len(ppTotal.positions),
1,
"should be just one position"
)
self.assertEqual(
ppTotal.positions[1].sid,
txn.sid,
"position should be in security from the transaction"
)
self.assertEqual(
ppTotal.positions[1].amount,
-100,
"should have a position of -100 shares"
)
self.assertEqual(
ppTotal.positions[1].cost_basis,
txn.price,
"should have a cost basis of 10"
)
self.assertEqual(
ppTotal.positions[1].last_sale,
trades_2[-1].price,
"last sale should be price of last trade"
)
self.assertEqual(
ppTotal.ending_value,
-900,
"ending value should be price of last trade times number of \
shares in position")
self.assertEqual(
ppTotal.pnl,
100,
"drop of 1 on -100 shares should be 100"
)
def test_covering_short(self):
"""verify performance where short is bought and covered, and shares \
trade after cover"""
trades = factory.create_trade_history(
1,
[10,10,10,11,9,8,7,8,9,10],
[100,100,100,100,100,100,100,100,100,100],
self.dt,
self.onesec,
self.trading_environment
)
short_txn = factory.create_txn(
1,
10.0,
-100,
self.dt + self.onesec
)
cover_txn = factory.create_txn(1,7.0,100,self.dt + self.onesec * 6)
pp = perf.PerformancePeriod({}, 0.0, 1000.0)
pp.execute_transaction(short_txn)
pp.execute_transaction(cover_txn)
for trade in trades:
pp.update_last_sale(trade)
pp.calculate_performance()
short_txn_cost = short_txn.price * short_txn.amount
cover_txn_cost = cover_txn.price * cover_txn.amount
self.assertEqual(
pp.period_capital_used,
-1 * short_txn_cost - cover_txn_cost,
"capital used should be equal to the net transaction costs"
)
self.assertEqual(
len(pp.positions),
1,
"should be just one position"
)
self.assertEqual(
pp.positions[1].sid,
short_txn.sid,
"position should be in security from the transaction"
)
self.assertEqual(
pp.positions[1].amount,
0,
"should have a position of -100 shares"
)
self.assertEqual(
pp.positions[1].cost_basis,
0,
"a covered position should have a cost basis of 0"
)
self.assertEqual(
pp.positions[1].last_sale,
trades[-1].price,
"last sale should be price of last trade"
)
self.assertEqual(
pp.ending_value,
0,
"ending value should be price of last trade times number of \
shares in position"
)
self.assertEqual(
pp.pnl,
300,
"gain of 1 on 100 shares should be 300"
)
def test_cost_basis_calc(self):
trades = factory.create_trade_history(
1,
[10,11,11,12],
[100,100,100,100],
self.dt,
self.onesec,
self.trading_environment
)
transactions = factory.create_txn_history(
1,
[10,11,11,12],
[100,100,100,100],
self.dt,
self.onesec,
self.trading_environment
)
pp = perf.PerformancePeriod({}, 0.0, 1000.0)
for txn in transactions:
pp.execute_transaction(txn)
for trade in trades:
pp.update_last_sale(trade)
pp.calculate_performance()
self.assertEqual(
pp.positions[1].last_sale,
trades[-1].price,
"should have a last sale of 12, got {val}".format(
val=pp.positions[1].last_sale
)
)
self.assertEqual(
pp.positions[1].cost_basis,
11,
"should have a cost basis of 11"
)
self.assertEqual(
pp.pnl,
400
)
saleTxn = factory.create_txn(
1,
10.0,
-100,
self.dt + self.onesec * 4)
down_tick = factory.create_trade(
1,
10.0,
100,
trades[-1].dt + self.onesec)
pp2 = perf.PerformancePeriod(
copy.deepcopy(pp.positions),
pp.ending_value,
pp.ending_cash
)
pp2.execute_transaction(saleTxn)
pp2.update_last_sale(down_tick)
pp2.calculate_performance()
self.assertEqual(
pp2.positions[1].last_sale,
10,
"should have a last sale of 10, was {val}".format(val=pp2.positions[1].last_sale)
)
self.assertEqual(
round(pp2.positions[1].cost_basis,2),
11.33,
"should have a cost basis of 11.33"
)
#print "second period pnl is {pnl}".format(pnl=pp2.pnl)
self.assertEqual(pp2.pnl, -800, "this period goes from +400 to -400")
pp3 = perf.PerformancePeriod({}, 0.0, 1000.0)
transactions.append(saleTxn)
for txn in transactions:
pp3.execute_transaction(txn)
trades.append(down_tick)
for trade in trades:
pp3.update_last_sale(trade)
pp3.calculate_performance()
self.assertEqual(
pp3.positions[1].last_sale,
10,
"should have a last sale of 10"
)
self.assertEqual(
round(pp3.positions[1].cost_basis,2),
11.33,
"should have a cost basis of 11.33"
)
self.assertEqual(
pp3.pnl,
-400,
"should be -400 for all trades and transactions in period"
)
def dtest_daily_performance_calc(self):
hostedAlgo = factories.createAlgo("workingAlgo.py")
btRecord = BackTestRun(duration_unit="Days",duration_count=5,capital_base=25000000)
bt = BackTest(hostedAlgo,btRecord)
start = bt.periodStart
end = bt.periodEnd
#print "{start} to {end}".format(start=start, end=end)
trades = factories.createTradeHistory(1,[10,11,12,11],[100,100,100,100],start, self.oneday)
#createTransaction(self, sid, amount, price, dt, order_id)
bt.createTransaction(1, 100, 10.0, trades[0].dt + 30*self.onesec, None)
curPeriod = start
bt.positions = {}
dailyPeriods = []
bt.initialValue = 0.0
while (bt.mktClose) <= bt.periodEnd:
bt.updatePerformance()
dailyPeriods.append(bt.curPeriod)
bt.nextMarketDay()
self.assertEqual(dailyPeriods[0].pnl,0,"the first day's performance should be zero")
self.assertEqual(dailyPeriods[1].pnl,100,"the second day's pnl should be 100 but was {pnl}".format(pnl=dailyPeriods[1].pnl))