Ashley Cassell

Ashley Cassell

Expertise: Finance and Investing, Options Trading, Blockchain

Education: B.A., English and Marketing, College of William & Mary

Ashley M. Cassell is a senior writer and editor for TradeSmith with 12 years of experience managing communities of passionate, self-directed investors – ranging from income-seeking retirees to thrill-seeking cryptocurrency traders.

She specializes in conveying a strong (and useful) point of view on the markets, while keeping “broker-speak” and technical jargon to a minimum, and mentoring other writers to do the same.

Ashley has also written for Seeking Alpha as well as InvestorPlace, where she covered blockchain, crypto and other digital assets as Contributing Editor of The New Digital World newsletter. Having earned a B.A. in English and Marketing from the College of William & Mary, her current field of study is personal finance – with an emphasis on managing credit, risk, savings and investing in your family’s future.

Recent Articles

The Next Wave of Bitcoiners Could Come From Some Pretty Surprising Places

Price-wise, Bitcoin (BTC-USD) is provoking “Extreme Fear.” But Bitcoin also provides hope – as an alternative to troubled fiat economies around the world.

Crypto & Miners With the Best Appeal for the “Green Energy” Trend

Environmental friendliness tends to get companies accolades in the press… But when does this translate to a worthy investment?

Finally, Some Good News for Crypto Bridge Security

Bots came to the rescue at the Rainbow Bridge this weekend…but the same can’t be said for Solana. Let’s catch up on the latest drama in the New Digital World.

The Truth Behind FB Earnings and Metaverse Technologies

Let’s dig into the misunderstood earnings report from the Meta Platforms formerly known as Facebook – and some very different new developments in the metaverse.

Will Twitter Become a Crypto Platform?

Elon’s making big promises – but what will this look like, in practice? Here are possible scenarios for crypto-izing Twitter, in increasing order of likelihood.