It appears that I am unable to run live trading for longer than a few seconds at the moment. Each time I am told of excessive memory usage. But, I'm currently not sure how to decrease memory usage any further and keep the strategy.
I currently have one Selectiondata object being used for every stock, and being filled with data points whenever necessary, and using a minidata object to store the results of selectiondata. The algorithm sacrifices speed for memory, ideally, but it's not saving any memory. It's also so ungodly slow I cannot attach a backtest. If I had to guess, something's wrong with the following code.
private SelectionData spy;
private ConcurrentDictionary<Symbol, miniData> costats = new ConcurrentDictionary<Symbol, miniData>();
private class miniData
{
public decimal ScaledDelta;
public Int16 buy;
private static SelectionData un = new SelectionData();
public miniData(QCAlgorithm algy, Symbol sym)
{
IEnumerable<TradeBar> bars = algy.History<TradeBar>(sym, 200);
foreach(TradeBar bar in bars)
{
un.Update(bar);
}
if(un.slow.IsReady)
{
buy = un.buy;
ScaledDelta = un.ScaledDelta;
}
}
public bool Update(QCAlgorithm algy, Symbol sym)
{
IEnumerable<TradeBar> bars = algy.History<TradeBar>(sym, 200);
foreach(TradeBar bar in bars)
{
un.Update(bar);
}
if(un.slow.IsReady)
{
buy = un.buy;
ScaledDelta = un.ScaledDelta;
return true;
}
return false;
}
}
Varad Kabade
Hi LordNile,
We recommend reducing the historical data requests as they are very computationally expensive. For issues with live trading, please contact support@quantconnect.com with the live deployment attached.
Best,
Varad Kabade
LordNile
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