Podcasts about equbot

Bitcoin ETFs are one of the most anticipated and debated developments in the crypto space. What are the implications for the market, the economy, and crypto's future? In this episode, Ryan Detrick, Chief Market Strategist at Carson Group & Sonu Varghese, VP, Global Macro Strategist at Carson Group, speak with Matthew Hougan, Chief Investment Officer at Bitwise Asset Management about the impact of Bitcoin ETFs on the market, offering a new investment avenue. They explore Bitcoin's role as an asset class or currency within traditional portfolios. Ryan and Sonu also cover the CPI data, its implications for inflation, and market expectations.Listen to the episode to learn about:The Consumer Price Index (CPI) dataThe stock market's performance, historical seasonality, and the likelihood of a market pullbackThe increase in household net worth and credit card debt, highlighting the overall financial situation of consumersThe significance of Bitcoin ETF approval and its impact on financial advisors and investorsFund flows from GBTC to new Bitcoin ETFsAdding Bitcoin to portfolios, its historical returns, volatility, and the potential benefits for investorsThe likelihood of Ethereum ETFsShort-term and long-term drivers of Bitcoin's valueAnd more!Resources:Any questions about the show? Send it to us! We'd love to hear from you! factsvsfeelings@carsongroup.com Connect with Matthew Hougan: LinkedIn: Matthew HouganX: Matt Hougan Bitwise Asset ManagementConnect with Ryan Detrick: LinkedIn: Ryan DetrickConnect with Sonu Varghese: LinkedIn: Sonu VargheseAbout Our Guest:Matt Hougan is a well-known expert in the fields of cryptocurrency, ETFs, and financial technology. He currently serves as the Chief Investment Officer at Bitwise Asset Management, which is the world's largest provider of cryptocurrency index funds and manages over $1.5 billion in assets.Before this, he was the CEO of ETF.com and Inside ETFs. During his tenure, he played a key role in developing the world's first ETF data and analytics system, the most popular ETF media platform, and the world's largest ETF conference.Matt serves as a board member for Equbot and is also a strategic advisor to several startups related to cryptocurrency and financial advising, such as Blockworks, Stratifi, and Exchange. He co-founded Advisor Circle, which is a product and content studio for the financial industry and also created the Futureproof Wealth Festival.

David Trainer, founder and president at New Constructs, says that Affirm Holding's gains this year  -- the stock has more than doubled year-to-date -- have fooled investors into thinking there might be value in the purveyor of buy now, pay later programs, so he put the company back in "The Danger Zone" for the third time in three years. Trainer noted that the stock -- despite this year's gains -- is down more than 80 percent from when he first said it was headed for trouble in 2021, and he says the firm remains a "zombie stock," likely to run out of money within two years. Also on the show, Mark Hamrick, senior economic analyst/Washington bureau chief at BankRate.com discusses the agreement in Congress that allowed Congress to avoid a government shutdown this weekend, but what lies ahead for lawmakers and the economy, financial adviser Eric Beiley of the Beiley Group worries about the economic troubles ahead and suggests bak CDs as a possible alternative for investors who want to be on the sidelines now, waiting for trouble to pass. In the Market Call, Art Amador of Equbot -- which oversees the AI Powered Equity ETF -- discusses artificial intelligence driving investment decisions.

Dana Peterson, Chief Economist at the Conference Board, joins to discuss the latest consumer confidence index and gives her outlook for the economy. Chris Natividad, co-founder and CIO, and Art Amador, co-founder and COO, of EquBot and the AI Powered Equity ETF, AIEQ issued by join the program to talk investing strategies, ETFs, and markets. Liz McCormick, Chief Correspondent of Global Macro Markets with Bloomberg News, and Bloomberg economics correspondent Mike McKee join to discuss the debt ceiling. Bloomberg News reporter Sonali Basak discusses the death of Sam Zell. Bloomberg Intelligence litigation analyst Matt Schettenhelm discusses Section 230. Erica Adelberg, MBS Strategist with Bloomberg Intelligence, joins to discuss her note on mortgage borrower leverage. Laura Martin, Managing Director at Needham, joins us in studio to talk about the ad and media businesses and revisits some of the bold calls from her appearance on our show in January. Norah Mulinda, markets reporter with Bloomberg News, joins to talk about her story on homebuilders capitalizing on limited real estate inventory. Mandeep Singh, Senior Tech Analyst with Bloomberg Intelligence, joins to discuss his research on young adopters of ChatGPT. Hosted by Paul Sweeney, Kriti Gupta, and Madison Mills.See omnystudio.com/listener for privacy information.

James Choi, a professor of finance at Yale University, discusses his recent study on 'Popular Personal Financial Advice versus the Professors' -- which examines the recommendations of personalities like Suze Orman and Dave Ramsey compared to the standards of economists - -and discusses how the standard advice of saving 10 percent (or as much as possible) of your income from the beginnings of your working life leads to more times of struggle and no less in assets come retirement compared to smoothing savings out more proportionately against income over a lifetime spent saving, earning and spending.  Also on the show, Jeremy Pagan, equity research analyst at Morningstar discusses his recent analysis on the pros and cons of investing in REITs versus putting money directly into real estate in a rising-rate environment and, in the Market Call, Chris Natividad, chief investment officer at Equbot -- which runs the AI Powered Equity ETF -- talks about using artificial intelligence as a means of picking stocks.

CNBC's Bob Pisani spoke with Art Amador, Co-Founder and COO of EquBot, which runs the AI Powered Equity ETF (A-I-E-Q) in partnership with ETFMG – along with Bill Studebaker, President and CIO of ROBO Global. They delved intothe AI craze and the role artificial intelligence can play in the world of investing. Chat GPT has become all the rage these days, but what about using AI to pick stocks that could potentially beat the market? Our panel of experts weighed in on the debate.In the “Markets 102” portion, Bob continued the conversation with Art Amador from EquBot.

Armando Senra, head of Americas ETF and Index business for BlackRock, says that the Federal Reserve's message this week cleared a path for a slower pace of tightening over the remainder of the year, but that investors must embrace volatility and sustained inflation to take advantage of the market environment. Senra says that weathering the current market storm requires investors with a long-term outlook willing to look past current events to see the industries that will be poised for a comeback when economic conditions improve. In The NAVigator segment, portfolio manager Tim Ryan from Nuveen covers the municipal bond market and how it is disconnected with the Treasury market's inverted yield curve to offer some bounce-back potential for the second half of the year. Also on the show, Jake Wujastyk of TrendSpider.com discusses the market's technicals and how it is trying hard to find a level and build a base for the next rally, and in the Market Call, Art Amador of Equbot talks about using artificial intelligence and machine learning as a means of selecting stocks.

We kick off season 2 of TechTalk Revolution with some of the most innovative entrepreneurs who are leaders in the industry of start-ups, emerging tech and artificial intelligence, beginning with Chida Khatua the Founder and CEO of Equbot.  Host Jonny Caplan and Chida talk about a whole new experience of global investments, trading and more, all enabled by a powerful new artificial intelligence. An ElectraCast production. Find us everywhere: Follow on Instagram. Follow on Twitter. Follow on FaceBook. Watch on YouTube. Follow on TikTok. Follow on Reddit. Learn more about TechTalk Media. Learn more about ElectraCast Media. Learn more about your ad choices. Visit megaphone.fm/adchoices

Erik Weisman, chief economist and portfolio manager at MFS Investments, says that if inflation were to run at 3 percent or more for all of next year, it would be a significant challenge for both stock and bond markets 'and there may not be that many safe places to hide,' but while he sees that potential danger, he believes that the beginning of 2022 is likely to be where inflation peaks near 5 percent and then settles down to levels that allow for continued growth. It will be slower growth for both the economy and the market, Weisman warns, but still positive. Also on the show, Eric Noe of Business.com discusses a survey about how roughly seven out of eight investors would like cryptocurrency made available in their retirement-savings plan, a discussion that may seem particularly ironic after Chuck opens the show with the tale of @MrGoxx, the cryptocurrency-trading hamster (no, he's not kidding); Chuck also takes a listener's question about automatic reinvestment plans for ETFs, and Chris Natividad, chief investment officer at Equbot talks about using artificial intelligence as a means of selecting stocks in the Market Call.

Matt Hougan is one of the world's leading experts on crypto, ETFs, and financial technology. He is the Chief Investment Officer for Bitwise Asset Management, the world's largest provider of cryptocurrency index funds, with more than $1 billion in assets under management. He was previously CEO of ETF.com and Inside ETFs, where he helped build the world's first ETF data and analytics system, the leading ETF media site, and the world's largest ETF conference. Hougan is co-author of two publications from the CFA Institute Research Foundation: “A Comprehensive Guide to Exchange-Traded Funds” and “Cryptoassets: The Guide to Bitcoin, Blockchain and Cryptocurrencies for Professional Investors.” He is a crypto columnist for Forbes, a three-time member of the Barron's ETF Roundtable, a member of the ETFdb's ETF Hall of Fame, and the eighth person to receive a Lifetime Achievement Award from ETF.com for contributions to the ETF industry.Hougan sits on the board of directors for Equbot, creator of the first AI-driven ETFs (in partnership with IBM Watson), and is a strategic advisor to multiple crypto- and financial advisor-related startups, including Blockworks, Stratifi, Advisor Circle, and Exchange.—————————————————————— Registration for SALT New York is now open! Join us September 13-15, 2021 and sign up at https://register.salt.org/event/411f76d9-c215-4719-9bc4-8dfac6cfacdd/summaryFor podcast transcripts and show notes, visit https://www.salt.org/Watch this video on YouTube: https://youtu.be/RKIFKEtrdg0Moderated by Anthony Scaramucci. Developed, created and produced by SALT Venture Group, LLC. 

With Chris Natividad, CIO & Co-Founder of EquBot

CNBC’s Bob Pisani discusses tracking social sentiment in ETFs, Bitcoin ETFs and the space trade with Art Amador, Co-founder and COO of EquBot, Jamie Wise, Founder of Buzz Indexes, and Todd Rosenbluth, Senior Director of ETF and Mutual Fund Research at CFRA. In the 'markets 102' portion of the podcast, Bob continues the conversation with Jamie Wise from Buzz Indexes.

*Do you know what is the future of AI? What kinds of hurdles do start up founders have to deal with? What is it like ringing the bell at New York Stock Exchange? I had the pleasure of sharing the mic with Chida, Founder and CEO of EquBot, and we talked about his journey of launching EquBot, an AI platform to help global investment professionals deliver better outcomes.* Chida Khatua is the CEO and co-founder of EquBot. Chida brings more than 17 years of experience in artificial intelligence and machine learning. Most recently, he spent 18 years serving as the Director of Engineering at Intel and as the founder of a successful startup called Bumperglass. Chida holds several patents in hardware, software, and technology. He was honored by Business Insider as one of the “Top 10 People Transforming Investing,” and as one of the “Top 100 People Transforming Business.” He holds an MBA from the Haas School of Business at UC Berkeley, a Masters from Stanford in Electrical Engineering, a Masters from the Indian Institute of Science in EE, and a BE from VSSUT (UCE) Burla. Support this podcast at — https://redcircle.com/shake-the-cosmos-empower-your-vision/donations

Artificial Intelligence, and the machine learning algorithms that underlie it, is showing up pretty much everywhere these days so it's no surprise that there's now an AI-powered ETF firm, EquBot. EquBot's founders, CEO Chida Khatua and COO Art Amador, join the latest episode of Let's Talk ETFs to explain the inner workings of their AI Powered Equity (AIEQ) and International Equity (AIIQ) ETFs. They believe placing artificial intelligence investing strategies into an ETF wrapper offers investors the best chance of obtaining persistent alpha. And while there are reasons for skepticism, the performance of AIEQ and AIEQ versus relevant index benchmarks makes this a story worth watching in the coming years. Topics Covered 2:30 - Given your very different backgrounds in tech and finance, how did you end up starting this company together? 4:15 - After years of smart beta indexes and academic approaches to investing, what does AI bring to the table that is new? 8:45 - Welcome to the Machine: Zeroing in on the stock selection process for AIEQ and AIIQ 14:30 - Why roll this out as a low cost ETF and not an 'over-priced' Hedge Fund? 16:45 - Are capital markets too dynamic for AI and machine learning at this stage? 21:00 - As AI strategies proliferate, will they not reach a point where they mimic the human investing experience, with some beating the market and others not? 23:30 - How did Alphabet (GOOG) (GOOGL) and Toyota (TM) become the top holdings in your two funds? 25:45 - Factoring in "Black Swan" risks to your models 29:45 - How can you call an AI managed fund "actively managed"? 33:15 - Is there a set number of holdings in these funds, or is it open ended? 38:00 - What about things like annual turnover and tax management? 41:45 - What has AIEQ gathered so much more in the way of assets than AIIQ?  45:00 - What does the future hold for EquBot?

Bloomberg News Private Equity Reporter Heather Perlberg discusses Carlyle Group teaming up with former Domino’s Pizza CEO Patrick Doyle to buy consumer companies that can benefit from a technology overhaul. Jon Erlichman, Anchor of BNN Bloomberg's The Open, talks about Starbucks signaling that its profit growth will start to slow. Art Amador, COO at EquBot, talks about using artificial intelligence for investing. Bloomberg Businessweek Editor Joel Weber and Bloomberg News Commodities Reporter Eddie van der Walt share the story of the metals hunter that scours globe to stockpile nature’s rarest elements. Paul Walsh, Global Director of Consumer Weather Strategy at IBM, talks about providing data on the impact of Hurricane Dorian. And we Drive to the Close with Oliver Pursche, Chief Market Strategist at Bruderman Asset Management.  Hosts: Carol Massar and Jason Kelly. Producer: Paul Brennan. 

Bloomberg News Private Equity Reporter Heather Perlberg discusses Carlyle Group teaming up with former Domino's Pizza CEO Patrick Doyle to buy consumer companies that can benefit from a technology overhaul. Jon Erlichman, Anchor of BNN Bloomberg's The Open, talks about Starbucks signaling that its profit growth will start to slow. Art Amador, COO at EquBot, talks about using artificial intelligence for investing. Bloomberg Businessweek Editor Joel Weber and Bloomberg News Commodities Reporter Eddie van der Walt share the story of the metals hunter that scours globe to stockpile nature's rarest elements. Paul Walsh, Global Director of Consumer Weather Strategy at IBM, talks about providing data on the impact of Hurricane Dorian. And we Drive to the Close with Oliver Pursche, Chief Market Strategist at Bruderman Asset Management.  Hosts: Carol Massar and Jason Kelly. Producer: Paul Brennan.  Learn more about your ad-choices at https://www.iheartpodcastnetwork.com

How does artificial intelligence and machine learning work and what are some examples of how individual investors can use AI in their investing.In this episode you will learn:What is artificial intelligence, machine learning and deep learning.How is AI being used by different industries.How are AI models built with supervised and unsupervised learning.What are the components of a quantitative trading model and why it is insufficient to have an AI based stock ranking service.What are examples of AI based investment services and AI ETFs available to individuals.Why using AI to make investment decisions is so difficult.Thanks to Warby Parker and WIX for sponsoring the episode.For show notes and more information on this episode click here.[0:20] The two types of AI: rules-based & deep learning.[3:35] Some examples of artificial intelligence.[4:59] How machine learning systems work.[6:10] Supervised learning vs. unsupervised learning. [9:10] Training deep learning AI models. [12:46] Complications with how deep learning models come up with their answers.[14:31] The role of AI in predicting interest rates.[17:16] Understanding the different factors and components of AI models when it comes to investing.[19:43] David’s personal experience with an AI-based investing service. [23:29] The Equbot and investing in ETFs.[25:46] The difficulties of using AI as an individual investor.

On this show, we talked about current applications of AI in investing, how it works and how quickly it’s learning and expanding it capabilites with Art Amador, CoFounder and COO of EquBot.  Listen to learn how AI is reshaping the world of investing and how you can get involved! For the Difference Making Tip, scan ahead to 20:10. You can learn more about Art at EquBot.com, Twitter, Facebook and LinkedIn. Please subscribe to the show however you’re listening, leave a review and share it with someone who appreciates good ideas.  You can learn more about the show at GeorgeGrombacher.com, or contact George by clicking here.

Today’s episode of Finance & Fury we’re talking about Artificial Intelligence taking over the ETF and investment market. The discussion was actually started by one of our listeners, Gabriel who recently wrote in, so thanks Gabriel for sending this through.   Introduction; there are a few types of AI ETFs Funds that specifically invest in companies involved in the development of products and services in AI And alternatively, the one that we’ll talk about today: AI is running the ship - funds that use AI methods to select individual investments to buy within the fund   We will talk about: The introduction of AI powered ETFs What this could mean for the market Options on what to do   AI ETF - AIEQ Been around for about almost a year (Oct 2017) Run by IBMs Watson AI - cognitive computing platform capable of answering natural language questions by connecting large amounts of data, both structured (e.g., spreadsheets) and unstructured (e.g., news articles), then, learns from each analysis it conducts to produce a more accurate answer with each subsequent question. Computing called cognitive computing, where systems understand the world the way humans do. That is, learning how humans would think about the world: through senses, learning, and experiences. Watson continuously learns, gaining in value and knowledge over time, from previous interactions. Example – Saw AI beat the world’s best players in complex online strategy and role-playing games At first the characters would stand still, then run around in circles, then run into enemies and die, then after enough deaths they figure out they have to fight back, then figure out the best strategy and style These are complex games and the players can make 300-600APM (almost 10 actions a second) AI is programmed with parameters, that is to say, we tell it what to. Investor demand - Equbot positions investment solutions based on in-depth analysis of investor demands. ‘strive to create products that deliver positive long-term results on a risk-adjusted basis through optimizing proprietary investment research and trading models’ How will it do it? - drives an enhanced view of the global investment landscape. The ability to process continually growing volumes of data and thread machine learning throughout our operations enables a truly unique investment process. continually process, grow, and learn, just like our evolving investment technology “We are processing more news information, more data around different countries,” “We also added different capabilities like global macros and country risks, and integrated all the different modules to our platform.” Chida Khatua   How’s it doing so far? Pretty well – 6 months – outperformed the market ETF NAV by 4% - 12.34% vs 8.31% Inceptions (11 months) – 19.3% vs 12.5% - 7% out return Keeping its own at the moment and doing fairly well Slow start – it was learning – matched the index Diverged since then      Features and claims The ETF will create a portfolio of between 80 and 250 stocks, choosing from more than 15,000 companies across the globe.  What does it include in the portfolio? Learning to trade other ETFs and take advantage of arbitrage (making money for no risk) Gabriel – Few points from a previous episode ‘In a market cap weighted ETF, if a stock price drops, its market cap drops as well, so the ETF does not need to rebalance’ – Was talking about companies that fall in and out of the index – A company 300 in the index goes to 304 and is sold off (Sorry if I didn’t explain that properly) Amount of market data processed is unmatched - over a million market signals, news articles, and 6,000 US companies analysed daily A lot of noise at first – and there may be some big glitches Can it tell the real from ‘white noise’ news? – Would it react to 40% drop in price news articles? AI programs like this need to see a lot of information to be efficient and learn the best way of doing something Automated data driven investment process that removes significant human bias and errors End to irrational exuberance? - Bubbles Thing of the past? Computers remove humans all together – acts rationally? Worse in the future? What about if it works to manipulate a bubble to profit off it? Happens now – e.g. diamonds Goes beyond the news and looks at funds to buy based on their metrics Active management that combines fundamental, technical, and proprietary investment efficiency analysis to identify companies with high opportunities for long-term growth Artificial intelligence and machine learning capabilities continually build upon the financial knowledge base driving an investment system that perpetually grows in value What if it becomes ‘AI vs AI’? – Efficient market hypothesis becomes real EMP – Market is efficient – Prices rise to high, smart investors will short sell Assumes everyone acts rationally and that prices can’t diverge from their true value for long This is where the basis of not being able to beat the market comes from (which is mostly right but obviously not 100% right) If performance is the driving metric, returns might be gained through positive feedback loops i.e. Buy a share, keep the price driving up to keep the returns going Get enough AI traders working together then that can