Hi there folks,
This is my very first algo on Quantopian, and it's about as basic as it gets, but I am still seeing some pretty good historic returns from it. I used a similar approach when I was hand-picking and trading stocks in the UK, and it works well with the algo.
The philosophy I have followed with the algo is to handpick stocks in sectors that I like - Specifically Tech/Internet, Clean Energy, Entertainment and a little bit of manufacturing. (I tend to be an ethical investor). I then research the businesses for historic performance, look at their financials, P/E, margins, risks and the like, and also whether I understand their business.
I then weighted each security on how much I wanted in each one, contributing between 1 and 9% of my overall investment into each stock.
Typical stocks include: Tech - Google, Facebook, Microsoft, Apple
Retailers: Amazon, Ebay
Manufacturing: GE, Tesla, Toyota
Entertainment: Disney, Viacom, TimeWarner, LiveNation
So it's a reasonable risk-mix, some better established and some more recent upstarts.
The philosophy is simply to buy long and hold, rebalancing the portfolio every 24 days so no stock starts overwhelming and gathering too much risk.
This will form the first part of my overall trading algorithms, although as I dig deeper into Python, I am sure that I will find better ways to track buy and sell signals.
Any comments are gratefully received.
Paul.