System.InvalidCastException: Specified cast is not valid.

OR

Runtime Error: Specified cast is not valid.

Why?

[backtest doesn't show up on the list, will have to paste here instead of attach]

 

# System.InvalidCastException: Specified cast is not valid. # Runtime Error: Specified cast is not valid. import pandas as pd class Zoo(QCAlgorithm): def Initialize(self): self.SetStartDate(2017,10,1) self.SetEndDate(2017,11,1) self.SetCash(100000) self.averages = {} self.AddUniverse(self.CoarseSelection) def CoarseSelection(c, coarse): columns = ['Price', 'HasFundamentalData'] data_df = pd.DataFrame.from_records( [[getattr(s, name) for name in columns] for s in coarse], index = [s for s in coarse], columns = columns, coerce_float=True) data_df = data_df.query("(Price > .50) and (Price < .60) and HasFundamentalData").nsmallest(99, 'Price') diffs = pd.Series({}) for cf in data_df.index: sym = cf.Symbol if sym not in c.averages: c.averages[sym] = SymbolData(sym) # initialize c.averages[sym].update(cf) # Update the SymbolData object with current EOD price? sma1 = c.averages[sym].sma1.Current.Value ; sma1 = float(sma1) if sma1 else 0.0 sma2 = c.averages[sym].sma2.Current.Value ; sma2 = float(sma2) if sma2 else 0.0 diff = sma1 - sma2 if not diff: continue z = str(sym) # to avoid diffs[sym] = diff ... 'object is not callable' (another confusing error) diffs[z] = diff ''' if len(diffs.index): c.Log(diffs.size) And another confusing error: Runtime Error: Trying to dynamically access a method that does not exist throws a TypeError exception. To prevent the exception, ensure each parameter type matches those required by the Log method. Please checkout the API documentation. at CoarseSelection in main.py:line 32 TypeError : No method matches given arguments for Log (Open Stacktrace) Huh? len() or .size ???? Expected any of these would work fine ... c.Log(diffs) c.Log(len(diffs)) c.Log(diffs.size) ''' c.Log(diffs) return list(diffs.index) class SymbolData(object): def __init__(self, symbol): self.symbol = symbol self.sma1 = SimpleMovingAverage(3) self.sma2 = SimpleMovingAverage(10) self.is_ready = False def update(self, value): self.is_ready = self.sma1.Update(value.EndTime, value.Price) and self.sma2.Update(value.EndTime, value.Price)

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