The Secret to Shorting Stocks

The Secret to Shorting Stocks

Misinformation is everywhere. Many people believe the key to successful short selling is simply the inversion of a successful long strategy. I also used to believe this, among other short selling myths.

This article will demonstrate the impact, just one of the revealed secrets to short selling, can have on your algorithmic strategy development.

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A Dead Simple 2-Asset Portfolio that Crushes the S&P500 (Part 4)

A Dead Simple 2-Asset Portfolio that Crushes the S&P500 (Part 4)

Introduction

In this blog post we will review the simulated performances of a few UPRO/TMF strategy implementations using the Quantconnect platform. If you’re not familiar with the platform, it is an algorithmic trading platform that provides backtesting and live trading across of variety of asset classes including: equities, futures, forex, options, and cryptocurrencies. I like using the platform because of the access to a large number of asset classes, the development team is responsive and you can code strategies in Python (even though the underlying platform is built in C). The strategies’ performances are evaluated using pyfolio and ffn. Note that in some cases their calculations are slightly different.

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A Dead Simple 2-Asset Portfolio that Crushes the S&P500 (Part 3)

A Dead Simple 2-Asset Portfolio that Crushes the S&P500 (Part 3)

Recap

This is an update to the original blog series that explored a simple strategy of being long UPRO and TMF in equal weight, inverse volatility and inverse-inverse volatility. This strategy crushed the cumulative and risk-adjusted returns of the benchmark SPY etf. However through our research we determined that this strategy is heavily dependent on the correlation between the two assets. This strategy works best when correlations are positive and prices are trending positively, however, theoretically it is most stable when correlations are negative. Previously we determined the strategy is most exposed when correlations are positive or rising and prices are declining. The problem is that we don’t know ex-ante if, during periods of increasing correlations, prices will trend up or down, which exposes our capital to large risks. In the past I eluded to a potential workable solution to this issue. In this blog post and associated materials we will explore some potential solutions to this problem.

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