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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

Using Rank Across

How to Use Rank Across

Deciles

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When it comes to figuring out what positions you want to add to your portfolio, it can be extremely useful to sort the results of your screener. We can do this by using deciles, or breaking up our results into units of 10% as we rank our results based on whatever variable we decide is important.
Here are all of the different deciles backtested and plotted on our primary backtest. This screen looks for the rank of a company’s sale growth over the past three years.

So How Could you use this?

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All you have to do is use our “rank_across” operator. This will allow you to find where certain companies sit when compared to the overall market, and isolate best performers based on their rank.
Here we have broken growth into two separate groups; a group where growth is negative over the past three years and a group where growth is positive.
Notice how most of the dots fall between a growth of -20% and 20%. At roughly a 25% growth rate, we cross the 75% rank line.This scatter chart can be extremely interesting and helpful when looking at other variables. It allows you to figure out how correlated certain variables are to one another. For example, we can see that there is virtually no correlation between the company’s rank and their market cap.

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On the other hand there is a much higher correlation between market cap and volume. The higher a company’s 30 day volume, the higher their market cap is (most likely). Now, perfect correlation, like in the first growth vs. rank, is not going to randomly happen unless it’s something you set up.

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