| Overall Statistics |
|
Total Trades 40 Average Win 2.07% Average Loss -1.40% Compounding Annual Return 25.237% Drawdown 4.000% Expectancy 1.356 Net Profit 44.450% Sharpe Ratio 2.443 Probabilistic Sharpe Ratio 97.749% Loss Rate 5% Win Rate 95% Profit-Loss Ratio 1.48 Alpha 0.193 Beta 0.046 Annual Standard Deviation 0.083 Annual Variance 0.007 Information Ratio -0.047 Tracking Error 0.247 Treynor Ratio 4.391 Total Fees $0.00 |
import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
class MultidimensionalOptimizedChamber(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2019, 1, 1) # Set Start Date
self.SetCash(100000) # Set Strategy Cash
self.gold = self.AddCfd("XAUUSD", Resolution.Minute, Market.Oanda).Symbol
self.yld = self.AddData(TenYrYield, "yld", Resolution.Daily).Symbol
self.model = LinearRegression()
self.fit_model()
self.Schedule.On(self.DateRules.MonthStart("XAUUSD"), \
self.TimeRules.At(0, 0), \
self.fit_model)
def fit_model(self):
history = self.History([self.gold, self.yld], timedelta(365*1))
gold_prices = history.loc[self.gold].unstack(level=1)["close"].apply(np.log)
bond_yield = history.loc[self.yld].unstack(level=1)["value"]
data = pd.DataFrame()
data['gold'] = gold_prices
data['yield'] = bond_yield
data.dropna(inplace=True)
y = data['gold'].values.reshape((-1, 1))
x = data['yield'].values.reshape((-1, 1))
self.model.fit(x, y)
def OnData(self, data):
if self.yld in data.Keys and self.gold in data.Keys:
gold_price = data[self.gold].Value
bond_yield = data[self.yld].Value
predicted_price = np.exp(self.model.predict([[bond_yield]]))
if predicted_price > gold_price:
self.SetHoldings(self.gold, 1)
else:
self.SetHoldings(self.gold, 0)
class TenYrYield(PythonData):
def GetSource(self, config, date, isLive):
source = "https://www.dropbox.com/s/5rnszsadogc8byk/DFII10.csv?dl=1"
return SubscriptionDataSource(source, SubscriptionTransportMedium.RemoteFile);
def Reader(self, config, line, date, isLive):
if not (line.strip() and line[0].isdigit()): return None
data = line.split(',')
yld = TenYrYield()
yld.Symbol = config.Symbol
yld.Time = datetime.strptime(data[0], '%Y-%m-%d')
yld.Value = data[1]
return yld