Hi!
I have been working on a strategy, which involves sorting stocks by their Market Cap. Unfortunately I am facing 2 problems which I can't solve. Firstly, when I try to test the strategy from 2017 and invest in smallest 10% stocks, the algo goes Long only 32 companies. If i change startDate from 2018, the list of companies expands to 295. Is it possible that prior to 2018 the list of stocks with MarketCap is incomplete?It would be very strange as in the “Book-to-market Value Anomaly” tutorial, which has a very similar approach, the data used in the test begins in 2004.
Secondly, In my example, when I try to test my strategy prior to 2017, I receive this notification:
Runtime Error: It is not possible to cast a non-finite floating-point value (NaN) as decimal. Please review math operations and verify the result is valid. (Parameter 'input') in Trading.cs:line 1075
Here is the code which I use:
#region imports
from AlgorithmImports import *
#endregion
# https://quantpedia.com/Screener/Details/26
from QuantConnect.Data.UniverseSelection import *
import math
import numpy as np
class BooktoMarketAnomaly(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2017, 1, 1)
self.SetEndDate(2018, 1, 10)
self.SetCash(1000000)
self.UniverseSettings.Resolution = Resolution.Daily
self.AddEquity("SPY", Resolution.Daily)
self.AddUniverse(self.CoarseSelectionFunctionBottom, self.FineSelectionFunctionBottom)
def CoarseSelectionFunctionBottom(self, coarse):
return [x.Symbol for x in coarse if x.HasFundamentalData and x.Price > 5]
def FineSelectionFunctionBottom(self, fine):
bottom_market_cap = sorted(fine, key = lambda x:x.MarketCap, reverse=False)[:int(len([j for j in fine])*0.1)]
self.sorted_by_mc_bottom = [j.Symbol for j in bottom_market_cap]
total_market_cap_bottom = np.sum([j.MarketCap for j in bottom_market_cap])
self.weights_bottom = {}
for j in bottom_market_cap:
self.weights_bottom[str(j.Symbol)] = j.MarketCap/total_market_cap_bottom
return self.sorted_by_mc_bottom
def OnData(self, data):
if not self.Portfolio.Invested:
for j in self.sorted_by_mc_bottom:
self.SetHoldings(j, self.weights_bottom[str(j)])
self.Log("Otwarcie Small Cap")
Louis Szeto
Hi Sebastian
There may not be a market cap for some exotic securities. Always check if the security has one:
Best
Louis
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
Sebastian Wozniczka
The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.
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