| Overall Statistics |
|
Total Trades 35 Average Win 4.57% Average Loss -1.04% Compounding Annual Return 11.095% Drawdown 14.000% Expectancy 3.132 Net Profit 86.542% Sharpe Ratio 0.89 Probabilistic Sharpe Ratio 38.566% Loss Rate 24% Win Rate 76% Profit-Loss Ratio 4.40 Alpha 0.095 Beta -0.03 Annual Standard Deviation 0.103 Annual Variance 0.011 Information Ratio -0.009 Tracking Error 0.16 Treynor Ratio -3.091 Total Fees $92.07 |
from QuantConnect.Data.Custom.TradingEconomics import *
class TradingEconomicsInterestRateAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2013, 11, 1)
self.SetEndDate(2019, 10, 3);
self.SetCash(100000)
self.AddEquity("AGG", Resolution.Hour)
self.AddEquity("SPY", Resolution.Hour)
self.interestRate = self.AddData(TradingEconomicsCalendar, TradingEconomics.Calendar.UnitedStates.InterestRate).Symbol
# Request 365 days of interest rate history with the TradingEconomicsCalendar custom data Symbol.
# We should expect no historical data because 2013-11-01 is before the absolute first point of data
history = self.History(TradingEconomicsCalendar, self.interestRate, 365, Resolution.Daily)
# Count the number of items we get from our history request (should be zero)
self.Debug(f"We got {len(history)} items from our history request")
def OnData(self, data):
# Make sure we have an interest rate calendar event
if not data.ContainsKey(self.interestRate):
return
announcement = data[self.interestRate]
# Confirm its a FED Rate Decision
if announcement.Event != "Fed Interest Rate Decision":
return
# In the event of a rate increase, rebalance 50% to Bonds.
interestRateDecreased = announcement.Actual <= announcement.Previous
if interestRateDecreased:
self.SetHoldings("SPY", 1)
self.SetHoldings("AGG", 0)
else:
self.SetHoldings("SPY", 0.5)
self.SetHoldings("AGG", 0.5)