Back

Algo: Losers of slowing descent.

Here's an algo that buys the biggest loser with a slowing descent. I've used my Universe Template.

There's no slippage modelling but the algo only considers the 10 most liquid stocks and is of Daily resolution so slippage shoudn't completely destroy the alpha.

Market dynamics over the last five years seem favorable to this approach.

Update Backtest








Thank you for that algo. very interesting. 

some thoughts: 

someone on quantopian writes the following:

""This is my first time interacting with algo-trading so my first thought was to try something I thought other people would ignore, instead of using the top/bottom 10% of stocks I made that very small and it returned 20%. The smaller I made the value, the higher the return would get.""

taking maybe 5 different (higher/lower) stocks would give better results.

0

This is pretty neat. Still waiting for backtest to finish but I think you're onto something good here. I will report back later.

0

ok bad comment above.....i mean not taking always the top/lowest 10....

0

Some initial comments, I realize most things I mention are due to this algo being a protype:

- I couldn't see reasons for the last peak as I got out of memory on backtest, but beware there are exotic ETFs being traded by the algo right now (e.g. saw it trading VXX). One might wish to disallow it from trading these instruments that have special considerations.

- Slippage is indeed evil and even daily can ruin some good alpha. Would be worthwhile looking into how large it is on average here, even though for some ETFs it's almost completely neglible for daily bars (e.g. SPY, IWM).

- As far as I've read elsewhere, we're currently in a mode of market where a few big companies are driving it by outperforming the wider index. This might be contributing to the alpha? Saw the algo trading a lot of FANGs for instance.

- While beta isn't super high I'm still afraid of what happens on bad days. :-) 2015 stands out in the test period, but there will probably be worse due to correlations during tail events. However, I guess it's an acceptable risk compared to say being 100% long XIV, haha.

0

Another thing that should be mentioned is that there is no position building code, it just buys/sells with a single order in a simplistic fashion. For large accounts you would definitely want to spread the buys/sells out over time to avoid excessive slippage. As Petter mentioned it should be treated as a prototype, I'ld go over it carefully before trading it live.

0

Beautiful...

2


Update Backtest





0

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.


Loading...

This discussion is closed