Equities Lab
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Overview

Charting Tool

FAQ

Six Steps to Validate a Stock Screen

Crafting Strategies

Filtering and Ranking

When to Use Compare Close or EPS to a Number

Using Rank Across

What is a Red Flag in Finance?

FRED Properties

What is the Piotroski F-Score?

Putting Piotroski to the Test

Relative Strength Indicator (RSI)

The Investable Universe

Undefined Property Handling

Backtesting

Backtest Rebalancing

Can’t Compare Split Adjusted Prices

Changing the Benchmark

Creating long short portfolios

Creating Your Own Score

How do delisted stocks affect your portfolio?

Learning about Green Flags and the Green Flag Score

Factor Analysis

Monte Carlo Simulation – Advanced Investing

Ohlson O-Score

Being too selective with your screener

Simulating a Short Strategy

Survivorship Bias – How does it work?

Tear Sheet – How To Create (2024 Update)

How To Use Monte Carlo With The Piotroski Score

Dynamic metric averages

Why does past rank ever change?

UI Features

Charting Individual Stocks

How the screener works

Watchlists

Importing formulas

Press release — We’ve integrated with Tradier!

Run Backtests in the Background with Recent Backtests

Stock Analysis – Creating a Tear Sheet

Utilizing Plot Panels

A Charting Tool

Why is the P/E Line Broken

Common Models

Supposedly Boring Dividend Screener – New Featured Screen

CAPM – Capital Asset Pricing Model

How to Screen for Covered Calls

Low volatility with good returns

Financial Valuation: Gordon Growth Model

O’Shaughnessy Tiny Titans Screen

How does the S&P criteria work?

Value Across Time YRLY – New Featured Screen

Tiny Titans Stock Screener: History, Performance, and Refinements

Charting Tool

Using Equities Lab as a Charting Tool

When most people think of “charting tools” when it comes to the stock market, their minds begin to wander to technical analysis and day trading. However, chart analysis doesn’t have to mean you’re going to look for a head and shoulders pattern or for when the price crosses a 50 day moving average. With over twenty years’ worth of data, you can use Equities Lab to chart fundamental factors and track how well a company truly runs over time – not just how much it costs.

Here is a basic chart of AAPL since 1995. Though it tells me that Apple has increased in price over the past twenty years, it isn’t very helpful. Let’s change that.

Above I have plotted Apple’s Trailing 12 month Piotroski score – a score created by a University of Chicago Professor named Joseph Piotroski. The Piotroski score looks at fundamental factors, such as increasing net income and sales, and compiles a score from 0-9. In our studies we have found that companies with an increasing Piotroski score over the period of a few years and a Piotroski score of greater than 7 perform best when compared to the overall market. Knowing this number for Apple as of the present day, as well as all of their Piotroski scores for the past twenty years, gives us a better understanding of the underlying company. Apple’s Piotroski score and history aren’t the best, but we will work with it.

Here we went ahead and created a screen within the stock pick. I wanted to compare Apple’s performance over the past twenty years to the performance of the entire technology sector minus Apple. This gives you the ability to eliminate any skewed data from including the stock you’re analyzing as well as get a general idea of how your stock pick compares to a relevant market. The difference in performance is so significant that I actually had to log scale the chart. In the past twenty years Apple has returned over 8000% while the technology industry as a whole minus Apple returned a paltry 300% in that same time frame.

The two examples I gave in this article are incredibly simplified, and as time goes on we will discuss the intricasies of charting with Equities Lab. In the meantime, just play around and put the variables that you personally believe will be helpful to your investment strategy. This final chart that I have included above is one that I would personally use when it comes to analyzing a potential investment opportunity. I can see any number of scores that were either created by me or already existing within the software, look at the change in the company’s net income and any other item that could be found within the financial statements over time, and finally, I even get to calculate standard deviation and establish a risk profile associated with that company. When I say you can do just about anything you’d like within Equities Lab, I’m not stretching the truth, it just takes a little time.

contact sales@equitieslab.com