Overall Statistics |
Total Trades 74 Average Win 0.15% Average Loss -0.14% Compounding Annual Return 21.289% Drawdown 0.600% Expectancy 0.226 Net Profit 1.208% Sharpe Ratio 4.448 Loss Rate 39% Win Rate 61% Profit-Loss Ratio 1.01 Alpha -0.048 Beta 13.171 Annual Standard Deviation 0.034 Annual Variance 0.001 Information Ratio 4.01 Tracking Error 0.034 Treynor Ratio 0.012 Total Fees $194.25 |
""" This file contains QuantConnect order codes for easy conversion and more intuitive custom order handling References: https://github.com/QuantConnect/Lean/blob/master/Common/Orders/OrderTypes.cs https://github.com/QuantConnect/Lean/blob/master/Common/Orders/OrderRequestStatus.cs """ OrderTypeKeys = [ 'Market', 'Limit', 'StopMarket', 'StopLimit', 'MarketOnOpen', 'MarketOnClose', 'OptionExercise', ] OrderTypeCodes = dict(zip(range(len(OrderTypeKeys)), OrderTypeKeys)) OrderDirectionKeys = ['Buy', 'Sell', 'Hold'] OrderDirectionCodes = dict(zip(range(len(OrderDirectionKeys)), OrderDirectionKeys)) ## NOTE ORDERSTATUS IS NOT IN SIMPLE NUMERICAL ORDER OrderStatusCodes = { 0:'New', # new order pre-submission to the order processor 1:'Submitted', # order submitted to the market 2:'PartiallyFilled', # partially filled, in market order 3:'Filled', # completed, filled, in market order 5:'Canceled', # order cancelled before filled 6:'None', # no order state yet 7:'Invalid', # order invalidated before it hit the market (e.g. insufficient capital) 8:'CancelPending', # order waiting for confirmation of cancellation }
import pandas as pd import numpy as np import decimal as d from datetime import datetime, timedelta, time from order_codes import (OrderTypeCodes, OrderDirectionCodes, OrderStatusCodes) #--------------------------# # Globals | #--------------------------# PT = 0.005 # percent SL = 0.005 # percent EXPIRY_MIN_DAYS = 30 # days EXPIRY_LIQUIDATE_DAYS = 10 # days #--------------------------# # ALGORITHM | #--------------------------# class BasicTemplateAlgorithm(QCAlgorithm): '''Basic template algorithm simply initializes the date range and cash''' def Initialize(self): self.SetStartDate(2016,7, 7) #Set Start Date self.SetEndDate(2016,7,30) #Set End Date self.SetCash(500000) #Set Strategy Cash # brokerage model self.SetBrokerageModel(BrokerageName.InteractiveBrokersBrokerage, AccountType.Margin) # Find more symbols here: http://quantconnect.com/data futureES = self.AddFuture(Futures.Indices.SP500EMini, Resolution.Minute) futureES.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(185)) futureNQ = self.AddFuture(Futures.Indices.NASDAQ100EMini, Resolution.Minute) futureNQ.SetFilter(TimeSpan.Zero, TimeSpan.FromDays(185)) self.order_tickets = dict() def OnData(self, slice): # only run during market hours #------------------------------------------------------# start_time = time(hour=9, minute=35) end_time = time(hour=16, minute=0) if not start_time < self.Time.time() < end_time: return # check if holdings need to be sold based on expiry #------------------------------------------------------# self._check_holdings_expiry() # check if bracket order has been sent # sometimes OnOrderEvent doesn't send the bracket order #------------------------------------------------------# self._confirm_bracket_order() base_symbol_invested = [self._get_base_symbol(x.Symbol) \ for x in self.Portfolio.Values if x.Invested] for chain in slice.FutureChains: # check if algo is already in invested in symbol #------------------------------------------------------# chain_base_sym = chain.Value.Symbol.Value if chain_base_sym in base_symbol_invested: continue # find the front contract expiring no earlier than in N days #------------------------------------------------------# contracts = [i for i in chain.Value \ if i.Expiry > self.Time+timedelta(EXPIRY_MIN_DAYS)] # if there is more than one contract, # trade the one with the closest expiry date #------------------------------------------------------# if len(contracts) > 0: front = sorted(contracts, key=lambda x: x.Expiry, reverse=True)[0] sym = front.Symbol self.Debug('front contract: {}'.format(sym)) # compute order quantity based on portfolio percentage #------------------------------------------------------# qty = self._calc_order_quantity(sym, pct=0.01) if qty is None: self.Debug('price is zero for: {}'.format(sym.Value)) return # if quantity is good we place a market order and # add the order data to the symbol data dict #------------------------------------------------------# self.Debug('front contract qty: {}'.format(qty)) newTicket = self.MarketOrder(sym, qty) self.order_tickets[sym.Value] = \ symbolOrderData(sym.Value, newTicket, 'Market', contract=front) def OnOrderEvent(self, orderEvent): """ This function is triggered automatically every time an order event occurs. """ self.Log(str(orderEvent)) if OrderStatusCodes[orderEvent.Status] == 'Submitted': return k = str(orderEvent.Symbol.Value) symbol = str(orderEvent.Symbol) if (not k in self.order_tickets.keys()): self.Log('missing key in order tickets: {}'.format(k)) self.Log('order tickets keys: {}'.format(self.order_tickets.keys())) return elif (k in self.order_tickets.keys()): orderData = self.order_tickets[k] orig_order_id = orderData.ticket.OrderId order = self.Transactions.GetOrderTicket(orig_order_id) # sometimes order is nonetype due to security price # is equal to zero #------------------------------------------------------# if not order: self.Log('order is nonetype: {}'.format(k)) del self.order_tickets[k] # delete order ticket data return # if order is filled but bracket order not submitted, # submit bracket order #------------------------------------------------------# if (OrderStatusCodes[order.Status]=='Filled') and \ (not orderData.bracket_submit): if (orderEvent.OrderId == orig_order_id): price = orderEvent.FillPrice qty = orderEvent.FillQuantity #qty = self.CalculateOrderQuantity(k, 0.0) profit_target = price * d.Decimal(1+PT) limitTicket = self.LimitOrder(symbol, -1*qty, profit_target) self.order_tickets[k].add_limit_order(limitTicket) stop_loss = price * d.Decimal(1-SL) stopTicket = self.StopMarketOrder(symbol, -1*qty, stop_loss) self.order_tickets[k].add_stop_market_order(stopTicket) self.order_tickets[k].is_bracket() self.Log('bracket order submitted: {}'.format(self.Time, k)) # Otherwise, one of the exit orders was filled, # so cancel the open orders #------------------------------------------------------# elif (orderData.bracket_submit) and \ (OrderStatusCodes[orderEvent.Status]=='Filled'): self.Log('cancelling bracket orders for: {}'.format(self.Time, k)) self.Transactions.CancelOpenOrders(symbol) self.order_tickets[k].bracket_submit=False del self.order_tickets[k] #--------------------------# # ALGORITHM HELPER FUNCS | #--------------------------# def _calc_order_quantity(self, sym, pct): """ Compute order quantity based on percentage of portfolio value. This is required because SetHoldings doesn't return an order ticket. This function returns None when security price is less than 1. """ price = float(self.Securities[sym].Price) self.Log('{} calc order quantity price: {}'.format(sym, price)) if price < 1: return None qty = (pct * float(self.Portfolio.TotalPortfolioValue)) / price return int(qty) def _get_base_symbol(self, symbol): """ Get minimum symbol for comparisons. Example: 'ES XXXXXXXX' will return 'ES' """ sym = str(symbol).split(' ')[0] return sym def _check_holdings_expiry(self): """ Check if current holdings are expiring within certain number of days. If so liquidate the contract, cancel open orders and delete order data from dict. """ invested = [x.Symbol for x in self.Portfolio.Values if x.Invested] #self.Log('[{}] invested:\n{}'.format(self.Time, invested)) for sym in invested: k = sym.Value if (k in self.order_tickets.keys()): expiry = self.order_tickets[k].contract.Expiry if (expiry < self.Time + timedelta(EXPIRY_LIQUIDATE_DAYS)): self.Debug('expiry too close liquidating: {}'.format(k)) self.Liquidate(sym) self.Transactions.CancelOpenOrders(sym) del self.order_tickets[k] return def _confirm_bracket_order(self): """ confirm bracket orders have been submitted. sometimes OnOrderEvent is not sending orders """ invested = [x.Symbol for x in self.Portfolio.Values if x.Invested] #self.Log('[{}] invested:\n{}'.format(self.Time, invested)) for sym in invested: k = sym.Value if (k in self.order_tickets.keys()): orderData = self.order_tickets[k] orig_order_id = orderData.ticket.OrderId order = self.Transactions.GetOrderTicket(orig_order_id) if (not orderData.bracket_submit): price = order.AverageFillPrice qty = order.QuantityFilled profit_target = price * d.Decimal(1+PT) limitTicket = self.LimitOrder(sym, -1*qty, profit_target) self.order_tickets[k].add_limit_order(limitTicket) stop_loss = price * d.Decimal(1-SL) stopTicket = self.StopMarketOrder(sym, -1*qty, stop_loss) self.order_tickets[k].add_stop_market_order(stopTicket) self.order_tickets[k].is_bracket() self.Log('check bracket >> bracket order submitted: {}'.format(k)) return class symbolOrderData: """ Class object to hold symbol bracket order data Attributes: ----------- symbol: str ticket: ticket object does not work with setHoldings order_type: str must match QC order types in order_codes.py bracket_submit: bool toggled when bracket order is submitted limit_order: None or ticket object stop_market_order: None or ticket object contract: None or futures contract object Methods: -------- add_limit_order: set limit_order attr to limitTicket add_stop_market_order: set stop_market_order attr to stopMarketTicket is_bracket: if limit and stopMarket orders are submitted toggle bracket_submit attr """ def __init__(self, symbol, ticket, order_type, contract=None): self.symbol = symbol self.ticket = ticket self.order_type = order_type if contract: self.contract = contract self.bracket_submit = False self.limit_order = None self.stop_market_order = None def add_limit_order(self, limitTicket): self.limit_order = limitTicket return def add_stop_market_order(self, stopMarketTicket): self.stop_market_order = stopMarketTicket return def is_bracket(self): if (self.limit_order is not None) and (self.stop_market_order is not None): self.bracket_submit = True return