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Hi i am new to Quanconnect and this concept of quant trading. I am having this trouble whenever i run a backtest. No trades are bing executed and everything remains 0. ( fees , net equity etc. etc.) even when i'm just backtesting other people codes which are posted in the forum.
The code that i'm currently testing with:
from clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
import numpy as np
class BasicTemplateAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2015,1, 1) #Set Start Date
self.SetEndDate(2017,12,31) #Set End Date
self.SetCash(1000) #Set Strategy Cash
self.AddForex("EURUSD", Resolution.Hour, Market.Oanda)
self.SetBrokerageModel(BrokerageName.OandaBrokerage)
sma_20 = self.SMA("EURUSD", 20, Resolution.Hour)
sma_50 = self.SMA("EURUSD", 50, Resolution.Hour)
def OnData(self, data):
sma_20 = self.SMA("EURUSD", 20, Resolution.Hour)
sma_50 = self.SMA("EURUSD", 50, Resolution.Hour)
if self.Portfolio["EURUSD"].Invested<=150 and sma_20 > sma_50:
self.MarketOrder("EURUSD", 1000)
if sma_50 > sma_20:
self.Liquidate()
Gurumeher Sawhney
Welcome to the QuantConnect community! The reason as to why there are no trades is because the conditional statement for the market order is never satisfied. The property .Invested is a boolean value that checks to see if the algorithm is currently invested in the asset. Bootcamp is a great way to learn about QuantConnect and how to create trading strategies. The algorithm below is a working version of the one above. The key changes in the source code were to check if the boolean value was true or false, as opposed to 150, and the SMA indicators were initialized in the beginning before the data was pumped in as opposed to in OnData().
William Yeoh
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