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Momentum Trade (AAPL)

I cloned this basic algorithm from the tutorials and the only thing i edited was the :
vwap=data[context.aapl].vwap(x), where i took x and ran five different backtests with x being 1, 3, 5, 7, 15. What I found was that the more i increased x, the higher returns i would get, so much so that my returns went from 3% with x as 2 to 65% with x as 15. Why is it that with AAPL, a simple momentum trading algorithm like this, where the only variable i change, the Volume Weighted Average Price, can bring back such high returns compared to the benchmark? Am i doing something wrong?

1 response

One of the main reasons this performs so well is that you are trading Apple stock. It's tough to lose trading AAPL. The benchmark is the S&P 500, so when AAPL significantly outperforms the S&P your results should almost always look good no matter the strategy (they do). That's not to say simple strategies never work or that your strategy is not good, it just performs as expected. To more thoroughly test different strategies you want to probably trade S&P itself or use set_universe and trade a range of securities. Although, that's not foolproof either, since often strategies work much better for certain stocks.

For example, here is your exact strategy but just trading the S&P instead of AAPL. I just changed the sid from 24 to 8554. Another advantage of trading the S&P is that you can easily compare your strategy to a buy and hold strategy with the same stock, since as I said the benchmark is the S&P.

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