June 20, 2018

Death Crosses Don’t Work

OK, what is a death cross, and what do I mean by “it doesn’t work”? A death cross is a (very) vivid name for a short term moving average slipping below a longer term moving average.  Technical analysts love to sell when they see death crosses, and buy when they see golden crosses.…

June 6, 2018

F-Score and Equity Short-Term Reversals

Quantpedia Strategies

As I was recently looking around at other quantitative firms, I happened across Quantpedia. In the past we’ve spoken to Quantpedia and are actually featured on their website. However, this time around I was taking a look in their screener section and came across the “F-score and Equity short-term reversals”.…

October 19, 2017

What is your definition of “high dividend?”

How high are “high” dividend stocks?

As the markets continue to lack volatility, a number of investors are attempting to find opportunities outside of the traditional growth stocks. This leads many of them to alternatives such as forex, options, etc. However, some investors are still attempting to find gains in the equity markets, and a number of them are doing so through looking for companies with exceptionally high dividend yields.…

July 16, 2017

Semiconductors, where they’re going and where they’ve been

The semiconductor industry is an important one, in fact, if it weren’t for semiconductors then you wouldn’t even be able to read this. So what exactly is a semiconductor, and why should you care about them? A semiconductor, in a nutshell, is a materials product usually made of silicon, which conducts electricity more than an insulator but less than a pure conductor, such as aluminum or copper.…

June 22, 2017

Survivorship Bias – How does it work?

I was recently lurking around an online investment forum when the following post came up –

I recently ran an experiment where I generated random 7 to 50-stock portfolios from the 500 largest U.S. traded companies and measured their performance over the past 10 years. All of the randomly selected portfolios outperformed the S&P500 and BRK.B in terms of compound annual rate of return.

June 17, 2017

Monte Carlo Simulation – Advanced Investing

Monte Carlo Simulation

As investors, we all know that each investment we make comes with a certain amount of risk. We can decrease this risk by understanding all possible outcomes. Better yet, we can visualize each outcome through the use of a Monte Carlo Simulation. In a broad stroke definition – a Monte Carlo simulation allows for people to make informed quantitative decisions based on a range of possible outcomes.…

May 12, 2017

Relative Strength Indicator (RSI)

 

 

I’m not a big technical trader. That being said, a lot of people in the information age are, and because of that we have been sure to include a number of technical indicators within the Equities Lab system. One such indicator, the relative strength index(RSI), is extremely common among technical analysts, and I think it is time to put the RSI indicator to the test.…

April 30, 2017

Beneish M-Score

The Beneish M-score was designed as a way to detect possible manipulation of a company’s financial statements. The score itself can be anything between –infinity and +infinity, though most scores fall between -10 to 10. Anything below -2.22 is considered a good score and suggests that the company is likely not manipulating their balance sheet.…

April 10, 2017

Funds Vs. Investing Yourself

Every investor has their own preferred investment. Two of the most popular choices are investing in funds such as ETF’s, Mutual Funds, or Hedge Funds, and self-investing using a strategy that you’ve either built yourself or adopted from a well-known investor. It’s finally time to figure out which choice has more potential.…

April 5, 2017

Explaining Quantitative Investing

What exactly is Quantitative investing?

Investing is an extremely difficult endeavor regardless of your goals. It takes both intelligence and strong will in order to do it successfully. With the invention of the computer and the more widespread use of data science, people eventually realized that you could take out much of the human error when it comes to investing in favor of complex investment algorithms that trade based solely on math.…