What’s the S&P 500 Without Its FAANGs?

Given the sheer size of “mega cap stocks”—being Apple (AAPL), Microsoft (MSFT), Amazon (AMZN), Alphabet (GOOG & GOOGL), Meta Platforms (FB), Tesla (TSLA), NVIDIA (NVDA), and formerly Netflix (NFLX)—most portfolios carry noteworthy exposure to these companies.  And so it’s worth asking: how would the S&P 500, and most of our portfolios, have performed without these … Continued

How Long Does it Take Tech Stocks to Recover From a Crash? with Ben Carlson

This post originally appeared on Ben Carlson’s A Wealth of Common Sense on 2/20/22. Follow Ben on Twitter @awealthofcs for more!  —— From 1990 through the end of 1999, Microsoft’s share price went from around 60 cents to almost $60. That was a gain of nearly 10,000%, good enough to turn $10k into $1 million. Not bad. Then the … Continued

Predicting Q3 Earnings through FAANG with Beth Kindig

FEATURING I/O FUND’S, TECHNOLOGY INDUSTRY ANALYST, BETH KINDIG @Beth_Kindig   FAANG – An analysis of FAANG heading into Q3 earnings FAANG is a well known acronym that includes some of the most successful tech companies: Facebook, Amazon, Apple, Netflix and Google. These highly liquid stocks generally lead the market, as they have certainly done this year. … Continued

Top 3 Reasons CFAs Choose YCharts

In order to put your vast and detailed knowledge set to work, you need a platform that can keep up with your fine-tuned research process yet help you simplify and relay insights to clients, prospects, and colleagues. (Remember, they haven’t studied this stuff for hundreds and hundreds of hours). CFAs need the horsepower of a … Continued

Product Update: New & Improved Timeseries Analysis

YCharts’ Timeseries Analysis tool enables you to access, format, and export historical stock, mutual fund, and ETF metrics, as well as economic indicators. Because Timeseries Analysis is a vital resource for data-driven investment decisions, YCharts has updated the tool’s interface to better serve our users. In-depth investment research often requires large data sets with multiple … Continued