| Overall Statistics |
|
Total Trades 12 Average Win 9.02% Average Loss -8.32% Compounding Annual Return -4.730% Drawdown 0.600% Expectancy 0.042 Net Profit -0.420% Sharpe Ratio -2.055 Probabilistic Sharpe Ratio 17.302% Loss Rate 50% Win Rate 50% Profit-Loss Ratio 1.08 Alpha -0.283 Beta 0.023 Annual Standard Deviation 0.025 Annual Variance 0.001 Information Ratio -15.772 Tracking Error 0.63 Treynor Ratio -2.188 Total Fees $12.00 Estimated Strategy Capacity $760000.00 |
#Need to change the liquidate to later in the day
#Same goes for when this is executed
from datetime import timedelta
from clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Securities.Option import OptionPriceModels
from QuantConnect.Data.UniverseSelection import *
class BasicTemplateOptionsAlgorithm(QCAlgorithm):
contracts = 1
shortDelta = .18
longDelta = .15
def Initialize(self):
self.SetStartDate(2021, 1, 1)
self.SetEndDate(2021, 2, 1)
self.SetCash(100000)
self.symbol = "TSLA"
self.expiry = self.Time
equity = self.AddEquity(self.symbol, Resolution.Minute)
option = self.AddOption(self.symbol, Resolution.Minute)
option.SetFilter(-20, 20, timedelta(30), timedelta(60))
# self.MaximumOrderValue = 20000
# use the underlying equity as the benchmark
self.SetBenchmark(equity.Symbol)
self.SetWarmUp(35, Resolution.Daily)
def OnData(self, slice):
if(self.IsWarmingUp):
return
self.TradeOptions(slice)
def TradeOptions(self, slice):
days_to_expiry = (self.expiry-self.Time).days
if self.Portfolio.Invested and days_to_expiry <=20:
self.Liquidate()
profit2 = sum([x.UnrealizedProfitPercent for x in self.Portfolio.Values if x.Type == SecurityType.Option])
self.Log(profit2)
if self.Portfolio.Invested and profit2 >= .5:
self.Liquidate()
if not self.Portfolio.Invested and self.Time.hour != 0 and self.Time.minute != 0:
shortCall = None
longCall = None
shortPut = None
longPut = None
for i in slice.OptionChains:
chain = [x for x in i.Value if x.ImpliedVolatility < 50]
contract_list = [x for x in chain]
# if there is no optionchain or no contracts in this optionchain, pass the instance
if (slice.OptionChains.Count == 0) or (len(contract_list) == 0):
return
# sorted optionchain by expiration date and choose the furthest date
self.expiry = sorted(chain, key = lambda x: x.Expiry)[-1].Expiry
# filter call and put options from the contracts
call = [i for i in chain if i.Right == 0 and i.Expiry == self.expiry]
put = [i for i in chain if i.Right == 1 and i.Expiry == self.expiry]
# sort calls by strike prices in ascending order
call_contracts = sorted(call, key = lambda x: x.Strike)
# sort puts by strike prices in descending order
put_contracts = sorted(put, key = lambda x: x.Strike, reverse=True)
if len(call_contracts) == 0 or len(put_contracts) == 0 :
continue
# loop from low strike to high
for call in call_contracts:
self.Log("call=" + str(call.Greeks.Delta))
if((shortCall is None) and (call.Greeks.Delta <= self.shortDelta)):
shortCall = call
elif((longCall is None) and (call.Greeks.Delta <= self.longDelta)):
longCall = call
break # stop for loop
# loop from high strike to low
for put in put_contracts:
self.Log("put=" + str(put.Greeks.Delta))
if((shortPut is None) and (put.Greeks.Delta >= -self.shortDelta)):
shortPut = put
elif((longPut is None) and (put.Greeks.Delta >= -self.longDelta)):
longPut = put
break # stop for loop
if((longCall is not None) and (shortCall is not None) and (longPut is not None) and (shortPut is not None)):
break
if((longCall is None) or (shortCall is None) or (longPut is None) or (shortPut is None)):
return
self.Log(str(longCall.Greeks.Delta))
self.Log(str(shortCall.Greeks.Delta))
self.Log(str(shortPut.Greeks.Delta))
self.Log(str(longPut.Greeks.Delta))
# trade the options
self.Buy(longCall.Symbol, self.contracts)
self.Sell(shortCall.Symbol, self.contracts)
self.Sell(shortPut.Symbol, self.contracts)
self.Buy(longPut.Symbol, self.contracts)