Weiss Ratings Editors
Dr. Weiss is the founder of Weiss Ratings, the nation’s leading provider of 100% independent grades on stocks, mutual funds and financial institutions, as well as the world’s only ratings agency that grades cryptocurrencies. He founded his company in 1971, and thanks largely to his strict independence, has established a 50-year record of accuracy. Forbes called him “Mr. Independence.” The U.S. Government Accountability Office (GAO) reported that his insurance company ratings outperformed those of A.M. Best, S&P and Moody’s by at least three to one. And The Wall Street Journal reported that investors using the Weiss stock ratings could have made more money than those following the grades issued by Merrill Lynch, J.P. Morgan, Goldman Sachs, Standard & Poor’s and every other firm reviewed.
Widely known as the Indiana Jones of natural resources, Sean has sifted through terabytes of data and traveled tens of thousands of miles in search of companies that can make a transformative difference in the lives of investors. With his boots-on-the-ground experience, he visits mines, meets executives in person, discovers hidden opportunities and reveals pitfalls that investors should avoid.
Chris Coney is among the world’s most experienced educators in the field of decentralized finance (DeFi) and cryptocurrencies. At Weiss Ratings, Chris Coney has created the world’s first comprehensive DeFi MasterClass. Plus, he hosts the Sunday Special, weekly video interviews with experts specialized in DeFi, NFTs and all things crypto.
Chris Graebe knows a great private-equity deal when he sees one. His specialty is finding red-hot, breakthrough companies and investing in them before venture capitalists get in. And now, in Deal Hunters Alliance, he shows our Members how they can do the same.
Marko Grujic is one of the few analysts in the world specializing in the brand new field of “yield farming” — hunting for the extremely high yields now possible in the fast-growing world of decentralized finance (DeFi).
Joel Kruger is a pioneer investor and analyst in the fast-growing blockchain sector called NFTs (non-fungible tokens). He began buying some of the world’s first NFTs at a time when most crypto experts thought they were a joke. But the rapid rise in his NFT portfolio value proved them wrong.
In an era of high-risk exuberance, Mike Larson stands out as a leader in conservative investment strategies that outperform the market overall. Using the safety-oriented Weiss Ratings as a guide, he has a proven history of guiding investors to stocks and ETFs that provide asset protection, consistent dividends and excellent growth.
Gavin Magor directs a global team of research analysts and data scientists to ensure that the 52,000 Weiss ratings continually meet the highest standards of independence and accuracy. He oversees ten separate mathematical models, designed to evaluate stocks, ETFs, mutual funds, banks, insurance companies and more.
Jon D. Markman and team are winners of the Pulitzer Prize and the Gerald Loeb Award. He helped introduce Microsoft’s StockScouter, the world’s first online stock-screening system. And in the early 2010s, Jon correctly predicted the four major tech megatrends — mobile computing, big data, AI and AVs — that now dominate the world.
Marija (pronounced “Maria”) holds a bachelor’s degree in business from the London School of Economics, a master’s in banking from the University of Business Studies of Bosnia and Herzegovina, and is a PhD candidate at the same institution. She specializes in smaller, up-and-coming cryptos.
A professional trader since 1981, Kenny went from intern to floor trader to governor at the New York Stock Exchange. He ran a division of a major Wall Street bank and built the U.S. equities business at one of the world’s largest broker-dealers. Today he shares his four-plus decades of financial acumen with Weiss members via his Wealth & Wisdom service.
Even in the worst years for stocks, Tony was twice named “Portfolio Manager of the Year” by Thomson Financial. He was one of the first to introduce computer software for trading stocks. And in the early 2000s, he wrote “The Supernet,” providing a vision of the future internet that was far ahead of its time.
When econometrician and pro trader Juan M. Villaverde first applied his algorithms to Bitcoin years ago, he discovered a regular cyclical pattern. And he has since used it to build the world’s first crypto timing model based on cycles. Thanks to his analysis, the Weiss Ratings team has accurately picked the top and bottom of major crypto booms and busts.
Alex has been actively researching and investing in cryptocurrencies since 2017. He contributes research and reports to several Weiss crypto publications, with a primary focus on helping to create crypto trading strategies.
Sam graduated from The Weiss School, interned at Weiss Research while attending Babson College, and now dedicates his time at Weiss Ratings to in-depth analysis of natural resource stocks and cryptocurrency markets. He regularly contributes to the research and news posted daily to the Weiss website.
Beth Canova is a veteran of the publishing industry, specializing in cryptocurrency-related information and guidance. As the Managing Editor of some of world’s most astute cryptocurrency experts — Juan Villaverde, Dr. Bruce Ng, Marija Matić and others — she's continually immersed, and well versed, on everything crypto.
A MarketWatch columnist since 2014, Jurica covers science, technology, privacy, security and futurism, earning him the title of top three contributors for three consecutive years. At Weiss since 2011, he manages social media content and contributes regularly to Weiss Crypto Alert.
Nilus Mattive built up an enviable 15-year track record of winning income, including Weiss Ratings’ Income Superstars and Superstar Trader. Most recently, he was the chief investment writer at Teeka Tiwari’s Palm Beach Research Group, where he developed a deeper understanding of cryptocurrency markets.
Dawn Pennington provides oversight and direction for all Weiss Ratings newsletters, trading services and educational courses while providing leadership for her team of financial publishing superstars.
Professor Qureiyeh is a master of algorithms with a decade of equity research experience at hedge funds and Weiss Ratings. His special talent is “quantamental investing,” a combination of machine learning algorithms and fundamental analysis, which he applies to the Weiss Ratings database of 52,000 companies and investments.
Mandeep spent six years on the NYSE trading floor and worked in private equity valuations for General Electric. Today, he mines the vast Weiss database to formulate investment and trading strategies for stocks, ETFs and cryptocurrencies. His strategies boast a proven track record of significantly outperforming the benchmarks.
From stocks that offer a high degree of safety … to digital assets with high profit potential … to just about every kind of asset in between, Grant Wasylik uncovers some of the biggest — and often, the most hidden — bargains in the market.
Dr. Zhang earned his B.A. in finance at Shandong University, M.A. in econometrics at the London School of Economics, and his doctorate in economics at Boston University. He won first place at the 2017 JD Discovery Data Challenge and sixth place among 17,000 entries at the 2016 MassChallenge. He currently is focused on creating mathematical models to forecast crypto prices by identifying key sectors and tracking capital flows.
During her award-winning career as an anchor and reporter with ABC News and CBS News, Jess has covered the gamut — politics, consumer affairs and finance, including extensive reporting on the 2008 global economic crisis. As the Weiss Financial Anchor, she is the creator and host of weekly video interviews with our experts, highlighting their forecasts and investment picks.
Max Wright’s early visionary support of Bitcoin in 2012, when he invested heavily at just $10 per coin, made him one of the world’s first Bitcoin millionaires. Today, Weiss crypto members benefit from Max’s record of providing accurate analysis and spot-on predictions around the crypto and financial markets.