Overall Statistics
Total Trades
3954
Average Win
0.12%
Average Loss
-0.10%
Compounding Annual Return
8.715%
Drawdown
48.800%
Expectancy
0.242
Net Profit
70.786%
Sharpe Ratio
0.443
Loss Rate
43%
Win Rate
57%
Profit-Loss Ratio
1.18
Alpha
0.06
Beta
1.719
Annual Standard Deviation
0.197
Annual Variance
0.039
Information Ratio
0.361
Tracking Error
0.197
Treynor Ratio
0.051
Total Fees
$0.00
# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Indicators")
AddReference("QuantConnect.Common")

from System import *
from QuantConnect import *
from QuantConnect.Data import *
from QuantConnect.Algorithm import *
from QuantConnect.Indicators import *
from datetime import timedelta
import numpy as np

### <summary>
### Algorithm demonstrating FOREX asset types and requesting history on them in bulk. As FOREX uses
### QuoteBars you should request slices or
### </summary>
### <meta name="tag" content="using data" />
### <meta name="tag" content="history and warm up" />
### <meta name="tag" content="history" />
### <meta name="tag" content="forex" />
class SalixcRider(QCAlgorithm):

    def Initialize(self):
        # Set the cash we'd like to use for our backtest
        self.SetCash(10000)

        # Start and end dates for the backtest.
        self.SetStartDate(2013, 1, 1)
        self.SetEndDate(2019, 5, 27)

        # Add FOREX contract you want to trade
        # find available contracts here https://www.quantconnect.com/data#forex/oanda/cfd
        self.forex = self.AddForex("EURUSD", Resolution.Daily)
        
        self.entry_price = 0
        self.buy_price = 0
        
        # Create a Rolling Window to keep the 2 QuoteBar
        self.quoteBarWindow = RollingWindow[QuoteBar](2)

    def OnData(self, data):
        if data.ContainsKey("EURUSD"):
            # Update our rolling windows
            self.quoteBarWindow.Add(data["EURUSD"])
    
            # Wait for windows to be ready.
            if not (self.quoteBarWindow.IsReady): return
                    
    
            #Bearish trade setup
            if self.entry_price > 0:
                newTicket = self.MarketOrder(self.forex.Symbol, 1000, asynchronous = False)
                if newTicket.Status != OrderStatus.Filled:
                    self.Log("Sell order cancelled")
                    self.entry_price = 0
    
            if self.quoteBarWindow[1].Close > self.quoteBarWindow[1].Open:
                newTicket = self.MarketOrder(self.forex.Symbol, -1000, asynchronous = False)
                if newTicket.Status != OrderStatus.Filled:
                    self.Log("Market sell order filled!")
                    self.entry_price = 1
            
            #Bullish trade setup
            if self.buy_price > 0:
                newTicket = self.MarketOrder(self.forex.Symbol, -1000, asynchronous = False)
                if newTicket.Status != OrderStatus.Filled:
                    self.Log("Buy order cancelled")
                    self.buy_price = 0
    
            if self.quoteBarWindow[1].Close < self.quoteBarWindow[1].Open:
                newTicket = self.MarketOrder(self.forex.Symbol, 1000, asynchronous = False)
                if newTicket.Status != OrderStatus.Filled:
                    self.Log("Market buy order filled!")
                    self.buy_price = 1
            
            #self.Debug('{} Current Close: {}, Prev Close: {}'.format(self.Time, round(self.quoteBarWindow[0].Close,5), round(self.quoteBarWindow[1].Close,5)))