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Hi all,
I'm trying to get my custom charts, particularly indicators, to update in real time. In my backtests the charts all populate and my logic is correctly firing against those values but in my paper trade trials my charts aren't populating. I have a couple data points but no lines.
I initialize the charts in Initialize, then have them updating in my OnData.
def Initialize(self):
self.emaFast = self.EMA("SPY", 20, Resolution.Daily)
self.emaSlow = self.EMA("SPY", 50, Resolution.Daily)
self.spyRsi = self.RSI("SPY", 20, MovingAverageType.Simple, Resolution.Daily)
self.indexEMA = IndicatorExtensions.Over(self.emaFast, self.emaSlow)
self.PlotIndicator("SPY Indicator", True, self.indexEMA)
self.PlotIndicator("SPY RSI", True, self.spyRsi)
self.SetWarmup(30)
def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.'''
'''Arguments:
data: Slice object keyed by symbol containing the stock data'''
#Verify all indicators have warmed up before anything happens
if self.IsWarmingUp: return
#Capture Portfolio Values
self.marginRemaining = self.Portfolio.MarginRemaining
self.CurrentPortValue = self.Portfolio.TotalPortfolioValue
self.CurrentHoldValue = self.Portfolio.TotalHoldingsValue
#Plot any relevant portfolio metrics
self.Plot("Margin Remaining", self.marginRemaining)
self.PlotIndicator("SPY Indicator", self.indexEMA)
self.PlotIndicator("SPY RSI", self.spyRsi)
Any advice would be greatly appreciated.
Stephen Hyer
I've managed to find the solution myself. Here is what I came up with:
def Initialize(self): '''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialize.''' # Chart - Master Container for the Chart: stockPlot_1 = Chart('RSI') stockPlot_2 = Chart('MFI') stockPlot_3 = Chart('EMA') #OnData def OnData(self, data): '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.''' '''Arguments: data: Slice object keyed by symbol containing the stock data''' #Verify all indicators have warmed up before anything happens if self.IsWarmingUp: return #Capture Portfolio Values self.marginRemaining = self.Portfolio.MarginRemaining self.CurrentPortValue = self.Portfolio.TotalPortfolioValue self.CurrentHoldValue = self.Portfolio.TotalHoldingsValue #Plot any relevant portfolio metrics self.Plot("Margin Remaining", self.marginRemaining) self.PlotIndicator('RSI', self.Rsi_1, self.Rsi_2, self.Rsi_3) self.PlotIndicator('EMA', self.EMA1, self.EMA2, self.indexEMA3) self.PlotIndicator('MFI', self.Mfi)This successfully charts groups of indicators to individual chart plots. I left the margin plot to show the nuances. I'll check to make sure my paper account records the chart correctly, but in any case this reduced clutter on my interface and summarized my data better.
Stephen Hyer
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