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Hi. I schedule a user-defined function and I get the following error:
Runtime Error: In Scheduled Event 'EveryDay: Every 60 min', AttributeError : 'float' object has no attribute 'EndTime' AttributeError : 'float' object has no attribute 'EndTime'The code is the following:
import numpy as np
import pandas as pd
from QuantConnect.Data import SubscriptionDataSource
from QuantConnect.Python import PythonData
from datetime import date, timedelta, datetime
from decimal import Decimal
import math
import calendar
### <summary>
### Basic template algorithm simply initializes the date range and cash. This is a skeleton
### framework you can use for designing an algorithm.
### </summary>
class BasicTemplateAlgorithm(QCAlgorithm):
'''Basic template algorithm simply initializes the date range and cash'''
def Initialize(self):
'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
self.SetStartDate(2017,1, 10) #Set Start Date
self.SetEndDate(2018,12,31) #Set End Date
self.SetCash(10000) #Set Strategy Cash
# Find more symbols here: http://quantconnect.com/data
#self.AddEquity("SPY",Resolution.Minute)
self.AddForex("EURUSD", Resolution.Minute, Market.Oanda)
self.AddData(predEURUSDASK, "predEURUSDASK", Resolution.Hour, fillforward=True)
self.AddData(predEURUSDBID, "predEURUSDBID", Resolution.Hour, fillforward=True)
self.SetTimeZone("Etc/GMT0")
self.Debug("Everything loaded")
self.risk = 1
self.Securities["EURUSD"].SetLeverage(500)
self.Schedule.On(self.DateRules.EveryDay(), self.TimeRules.Every(TimeSpan.FromMinutes(60)), Action(self.EveryHour))
def OnData(self, data):
pass
def OnOrderEvent(self, orderEvent):
order = self.Transactions.GetOrderById(orderEvent.OrderId)
if order.Status == OrderStatus.Filled:
if order.Type == OrderType.Limit or order.Type == OrderType.StopMarket:
self.Transactions.CancelOpenOrders(order.Symbol)
if order.Status == OrderStatus.Canceled:
self.Log(str(orderEvent))
def EveryHour(self):
quoteBar = self.Securities["EURUSD"].Open
self.Log(f"Time: {quoteBar.EndTime}") #The time the period closes
self.Log(f"Open: {quoteBar.Open}")
# Retrieve High Ask Price from object
highASK=self.Securities["predEURUSDASK"].Value
self.Log(f"High ASK: {highASK}")
# User variables
highASKOpendiff = highASK- quoteBar
self.Log(f"highASKOpendiff: {highASKOpendiff}")
BuyTPASK=highASKOpendiff*0.8
self.Log(f"BuyTPASK: {BuyTPASK}")
BuySLASK=highASKOpendiff*10
self.Log(f"BuySLASK: {BuySLASK}")
# Retrieve Low Bid Price from object
lowBID=self.Securities["predEURUSDBID"].Value
self.Log(f"Low BID: {lowBID}")
# User variables
OpenLowBIDdiff = quoteBar - lowBID
self.Log(f"OpenLowBIDdiff: {OpenLowBIDdiff}")
SellTPBID=OpenLowBIDdiff*0.8
self.Log(f"SellTPBID: {SellTPBID}")
SellSLBID=OpenLowBIDdiff*10
self.Log(f"SellSLBID: {SellSLBID}")
qty = math.floor(self.Portfolio.Cash * self.risk/self.Securities["EURUSD"].Price) #MarginRemaining
if highASKOpendiff >= OpenLowBIDdiff:
if not self.Portfolio.Invested:
self.Buy("EURUSD", qty) # every hour
#Approach 1: self.SetHolding("EURUSD",0.2)
averageFillPrice = self.Portfolio["EURUSD"].AveragePrice
self.LimitOrder("EURUSD", -qty, (averageFillPrice +BuyTPASK))
self.StopMarketOrder("EURUSD", -qty, (averageFillPrice -BuySLASK))
else:
if not self.Portfolio.Invested:
self.Sell("EURUSD", qty)
averageFillPrice = self.Portfolio["EURUSD"].AveragePrice
self.LimitOrder("EURUSD", qty, (averageFillPrice -SellTPBID))
self.StopMarketOrder("EURUSD", qty, (averageFillPrice + SellSLBID))
class predEURUSDASK(PythonData):
#"Import custom data from a csv file"
def GetSource(self, config, date, isLiveMode):
return SubscriptionDataSource("http://sensedrive.science/files/EURUSD1H_CHL_ASK_cat_shifted.csv", SubscriptionTransportMedium.RemoteFile)
def Reader(self, config, line, date, isLiveMode):
if not (line.strip() and line[0].isdigit()): return None
index = predEURUSDASK()
index.Symbol = config.Symbol
try:
data = line.split(',')
index.Time = datetime.strptime(data[0], "%d/%m/%Y %H:%M")
### Retrieve "predicted" High Ask Price
index.Value = Decimal(data[2])
except:
return None
return index
class predEURUSDBID(PythonData):
#"Import custom data from a csv file"
def GetSource(self, config, date, isLiveMode):
#Changed BID -> ASK
return SubscriptionDataSource("http://sensedrive.science/files/EURUSD1H_CHL_ASK_cat_shifted.csv", SubscriptionTransportMedium.RemoteFile)
def Reader(self, config, line, date, isLiveMode):
if not (line.strip() and line[0].isdigit()): return None
index = predEURUSDBID()
index.Symbol = config.Symbol
try:
data = line.split(',')
index.Time = datetime.strptime(data[0], "%d/%m/%Y %H:%M")
### Retrieve "predicted" Low Bid Price
index.Value = Decimal(data[3])
except:
return None
return index
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