Fundamental Stock Analysis Webinar: May 22nd at 4:30 pm EST
May 16, 2019
Beth Kindig
Lead Tech Analyst
On May 22nd at 4:30 pm Eastern, join four fundamental stock analysts on a webinar where they will discuss stock picks, trends and strategies to help strengthen your personal portfolio. Beth Kindig will discuss how to pick a solid tech growth stock and how to hedge in down market. Specifically, Beth Kindig will discuss the differences between how the financial industry defines growth and how the tech industry defines growth, and why a blend of both is essential for picking stocks in the number one growth sector. Beth predicted the biggest stock drop in history in Q2 2018 with Facebook’s miss and the biggest IPO loss in history with Uber in Q2 2019. She covered Roku from its IPO for a 300% gain and is known for having a crystal ball to predict tech stocks on Twitter. Her experience comes from a decade of analyzing tech companies, tech products and startups resulting in over 700 articles and many enterprise-level analyst reports. She speaks frequently at tech conferences covering macro trends and has a tech podcast in the Top 40 for technology on iTunes and Spotify.
She joins three other analysts including Bhavneesh Sharma, who will highlight a stock with a unique gene editing approach to fighting cancer; Lyn Alden Schwartzer, who will showcase 2 high-quality value stocks to buy and hold over the next decade; and Kirk Spano, who will focus on solar and other sustainable stocks to watch as the world transitions to alternative energy.
Here are the details for the webinar:
Wed, May 22, 2019 1:30 PM – 2:30 PM PDT
To Register: Click here
More To Explore
Newsletter
Big Tech’s AI Revenue Is Surging, but Suppliers Will Still Be the Bigger Winners
Big Tech’s AI Capex has stomped estimates for multiple years and analysts are now calling for capex to surge to $1 trillion in 2027. However, hyperscalers have long battled investor concerns around wh
AI Capex to Hit $1 Trillion – And Estimates Are Still Too Low
Big Tech capex is the driving force behind the AI infrastructure trade, yet Wall Street has repeatedly underestimated the sheer scale of the buildout. Currently, in 2026, the guidance for $732.5 billi
Token Growth is Surging - Here Are the Beneficiaries
The reality of AI demand growth has shattered early estimates for token processing, yet expectations continue moving up and to the right. In the second installment of our token processing series, we e
AI Token Demand is Shattering Forecasts
Total annual token processing is no longer measured in billions or trillions of tokens, but in the quadrillions and beyond. As annual token processing is now tracked in units with 15 trailing zeros, i
Nvidia and Google Are Crowding TSMC’s N3 Node - Can Intel Fill the Gap?
Nvidia is moving its next-generation Rubin GPUs from 4nm to 3nm, yet Google’s latest TPUs are already on N3 and are expected to remain there. Meanwhile, a growing number of AI CPUs from Nvidia, Amazon
Intel vs TSMC: How CoWoS Packaging Constraints Could Create an Opportunity for Intel Foundry
Taiwan Semiconductor (TSMC) is the single, most important company to the AI industry. However, to compete with the incumbent, Intel does not need to beat TSMC at leading-edge manufacturing. It only ne
Big Tech’s Free Cash Flow is Turning Negative – Who's Next?
Big Tech’s AI revenue is accelerating, but free cash flow is moving sharply in the opposite direction. Across Google, Microsoft, Meta and Amazon, capex is rising much faster than operating cash flow a
Big Tech Earnings Preview: Is AI Monetization Finally Catching Up to Capex?
The most pronounced difference between 2026’s tech rally compared to rallies in the past is which companies have been left out of it. The names most associated with the AI trade have hardly participat
Nvidia, CXL, and the Battle to Improve AI Inference Economics
This is Part 2 of our two-part series on AI inference economics. In Part 1 — Why Nvidia's Next AI Battle Is About Tokens per Watt, we laid out why tokens per watt has become the defining metric for in
Why Nvidia’s Next AI Battle Is About Tokens per Watt
As hyperscalers move from building AI infrastructure to monetizing it, tokens per watt helps to reflect if revenue is scaling and if profitability is improving. Offload engines can increase tokens per
