| Overall Statistics |
|
Total Trades 9398 Average Win 0.31% Average Loss -0.31% Compounding Annual Return 39.774% Drawdown 17.300% Expectancy 0.059 Net Profit 122.882% Sharpe Ratio 1.538 Loss Rate 47% Win Rate 53% Profit-Loss Ratio 0.99 Alpha 0.663 Beta -15.011 Annual Standard Deviation 0.236 Annual Variance 0.056 Information Ratio 1.453 Tracking Error 0.236 Treynor Ratio -0.024 Total Fees $1204428.06 |
import json
import math
import datetime
from QuantConnect import Orders
from QuantConnect.Brokerages import *
from collections import OrderedDict
class Algorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2016, 1, 1)
self.SetEndDate(2018, 5, 23)
self.SetCash(1_000_000)
json_data = self.Download("http://api.analyticsventures.com/maxwell-verbs.json")
self.verbs = OrderedDict(json.loads(json_data))
self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage)
all_tickers = sorted(set([l[0] for x in self.verbs.values() for l in x]))
for ticker in all_tickers:
self.AddEquity(ticker)
# We have to put in the MOCs (if we're using MOCs) 16 or more mins before close,
# or else the behavior is wildly different and we only occasionally get to see
# a brief error explaining why.
self.Schedule.On(
self.DateRules.EveryDay(),
self.TimeRules.At(15, 59),
self.placeExitOrders
)
#self.Schedule.On(
# self.DateRules.EveryDay(),
# self.TimeRules.At(9, 31),
# self.placeEntryOrders
#)
self.UniverseSettings.Resolution = Resolution.Minute
self.AddUniverse("earnings-universe", self.universeSelector)
def universeSelector(self, dt):
today = dt.date().isoformat()
if today not in self.verbs.keys():
self.Debug(f"universe: no trades today.")
self.verbs_today = []
self.universe = []
else:
self.verbs_today = self.verbs[today]
self.universe = [x[0] for x in self.verbs_today]
tickers_for_today = ', '.join(self.universe)
self.Debug(f"universe: {tickers_for_today}")
for ticker in self.universe:
self.AddEquity(ticker)
self.placeEntryOrders()
return self.universe
def getPrice(self, symbol):
price = float(self.Securities[symbol].Price)
return price
def placeEntryOrders(self):
"""
Can call this more or less any time the market isn't open,
but the dates work out better if we call it in the "after
midnight" time slice of the market being closed, rather
than in the "before midnight" time slice. In practice
this will end up being called by some part of the QC
event sceduling system at 00:00:00 (i.e., midnight).
"""
if len(self.universe) == 0:
return
active_prices = {}
active_verbs = {}
for ticker, verb in self.verbs_today:
try:
price = self.getPrice(ticker)
except Exception as e:
self.Debug(f"[!] entry: getting price failed for ticker '{ticker}'.")
continue
if price < 0:
self.Debug(f"[!] entry: price {price} for ticker {ticker} is negative.")
continue
if price == 0:
self.Debug(f"[!] entry: price {price} for ticker {ticker} is zero.")
continue
active_prices[ticker] = price
active_verbs[ticker] = verb
num_tickers = len(active_verbs)
if num_tickers == 0:
self.Debug(f"[!] entry: had {len(self.universe)} tickers for today but getting the price failed for all of them.")
return
current_cash = float(self.Portfolio.Cash)
frac_per_day = 0.90
cash_per_ticker = (frac_per_day * current_cash) / num_tickers
self.orders = []
for ticker, verb in active_verbs.items():
price = active_prices[ticker]
try:
sign = +1 if verb == 'long' else -1
shares = (+sign) * math.floor(cash_per_ticker / price)
if shares == 0: continue
#self.Debug(f"entry: placing market order for {shares} shares of {ticker}")
order = self.MarketOnOpenOrder(ticker, shares)
order.sign = sign
order.shares = shares
order.ticker = ticker
self.orders.append(order)
except:
pass
#self.Debug(f"nightTimeCallback: Couldn't place MarketOrder for {ticker}")
def placeExitOrders(self):
"""
Can be called any time when the market is open.
In practice, we'll usually end up calling this
close to market close, since its job is to place
the orders that will sell off our positions at
the end of the day. If we're using market on close
orders, we can call this any time the market is open.
If we're using a strategy that just liquidates all our
existing holdings at the moment we call self.Liquidate(),
we'll have to manually ensure this is called as close to
market close as possible.
"""
if len(self.verbs_today) == 0:
# self.Debug(f"exit: No verbs today. Doing nothing.")
return
for order in self.orders:
ticker = order.ticker
#shares1 = -order.shares
#shares2 = -self.Portfolio[ticker].Quantity
#self.Debug(f"exit: {ticker}: shares1 is {shares1}, shares2 is {shares2}")
shares = -self.Portfolio[ticker].Quantity
try:
#self.MarketOnCloseOrder(ticker, shares)
self.Liquidate(ticker)
#self.Debug(f"exit: Placed MarketOnCloseOrder for {shares} shares of {ticker}")
except:
self.Debug(f"exit: Couldn't place MarketOnCloseOrder for {ticker}")
def decodeEventType(self, orderEvent):
"""
Turns the numeric values we receive from
orderEvent.Status into a human readable string so we
can tell what kind of event is being passed when the
OnOrderEvent method is automatically called on fills
"""
statuses = ('New', 'Submitted', 'PartiallyFilled', 'Filled',
'Canceled', 'None', 'Invalid', 'CancelPending')
order_statuses = {
getattr(Orders.OrderStatus, status): status
for status in statuses
}
return order_statuses[orderEvent.Status]
def OnOrderEvent(self, orderEvent):
symbol = orderEvent.Symbol
filled = orderEvent.FillQuantity
eventType = self.decodeEventType(orderEvent)
if eventType in ('Submitted',):
return
if eventType == 'Filled':
# self.Debug(f"OnOrderEvent: Got {eventType} event for {symbol}, fill quantity: {filled}.")
return
if eventType == 'Invalid':
# self.Debug(f"OnOrderEvent: Got {eventType} event for {symbol}.")
return