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HAM Launches Hedgeye Hedged Bitcoin ETF (HBIT) to Help Manage Bitcoin Volatility

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New actively managed ETF combines bitcoin exposure with a dynamic options strategy driven by Hedgeye’s proprietary Risk Range™ Signals.

STAMFORD, Conn., Aug. 27, 2026 /PRNewswire/ — Hedgeye Asset Management, LLC (“HAM”), a subsidiary of Hedgeye Risk Management, LLC, today announced the launch of the Hedgeye Hedged Bitcoin ETF (NYSE: HBIT), an actively managed ETF designed for investors seeking bitcoin exposure with a focus on reducing volatility and managing downside risk.

HBIT seeks long-term capital appreciation by investing primarily in U.S.-listed spot bitcoin exchange-traded products, including the iShares® Bitcoin Trust ETF (IBIT). The Fund does not invest directly in bitcoin.

To manage risk around that exposure, HBIT uses an actively managed options strategy driven primarily by Hedgeye’s proprietary Risk Range™ Signals. The Fund can adjust its options positioning as frequently as daily as market conditions change.

Bitcoin Exposure With a Risk-Management Process

Bitcoin has historically delivered significant long-term appreciation, but that opportunity has historically come with substantial volatility and deep drawdowns.

As of August 26, 2026, bitcoin traded near $78,000, approximately 38% below its October 2025 high of roughly $126,000.

HBIT is designed for investors who want bitcoin exposure but do not necessarily want to own all of bitcoin‘s volatility.

Unlike strategies built around a fixed outcome period or predetermined upside cap, HBIT’s hedging approach can adapt as market conditions change. The Fund does not target a defined outcome, does not maintain a stated upside cap and is not tied to a fixed twelve-month investment period.

A Dynamic Approach to Managing Volatility

HBIT purchases and writes put and call options at strike prices determined primarily by Hedgeye’s Risk Range™ Signals. Premiums received from writing options can help offset the cost of purchasing protection.

Rather than maintaining a static hedge, the Fund can change its positioning as frequently as daily based on factors including changes in Hedgeye’s Risk Ranges, bitcoin price trends, market and implied volatility, liquidity conditions and other market factors.

The objective is straightforward: participate in bitcoin‘s long-term return potential while using a disciplined, rules-based process designed to reduce volatility and manage downside risk.

Quotes From Leadership

“Nearly half of all the bitcoin in existence is currently worth less than what somebody paid for it,” said Hedgeye Founder & CEO Keith McCullough. “That is not a bitcoin problem. That is a risk management problem. I built the Risk Range™ Signals when I was running a hedge fund, and we have spent the eighteen years since refining them across every asset class we cover. HBIT aims to apply that same discipline to one of the most volatile major assets investors can own.”

“Investors have largely been asked to accept bitcoin‘s volatility as the price of admission,” said John S. McNamara III, Chief Investment Officer of Hedgeye Asset Management and portfolio manager of HBIT. “HBIT is designed for investors who want the exposure without the full amplitude. The Risk Ranges help determine where we want to buy protection and where we may want to sell upside, and we can adjust that positioning as market conditions change rather than committing to a fixed outcome for the next twelve months.”

“The signals behind this Fund are not a black box,” McCullough added. “They are published every morning before the open. Same process, same inputs, every day. That is the whole point.”

About the Portfolio Manager

John S. McNamara III is Chief Investment Officer of Hedgeye Asset Management. He most recently served as Portfolio Manager at Sierpinski Capital Management LP and became Chief Investment Officer of HAM when Sierpinski and Hedgeye partnered to launch the firm.

Prior to HAM and Sierpinski, McNamara held portfolio management and trading roles at MSK Capital Partners and Melchior/Dalton Strategic Partnership, where he frequently utilized Hedgeye research. He began his career in the Equities division of Deutsche Bank Securities across Research and Sales & Trading.

McNamara graduated from Michigan State University in 2013 with a B.A. in Finance & Economics.

For more information on Hedgeye Asset Management or HBIT, please email info@hedgeyeam.com, visit hedgeyeam.com, or follow HAM on X at @HedgeyeAM.

Definitions

Risk Range™ Signals: Risk Range™ Signals are proprietary signals developed by Hedgeye Risk Management, LLC that suggest market entry and exit points for investable assets. The model uses the rate of change of price, volume and volatility to calculate a probable immediate-term trading range for a given asset.

Drawdown: A drawdown is the measurement of a decline in the value of an asset or portfolio from a peak to a subsequent trough, in percentage terms.

Implied Volatility: Implied volatility is the market’s expectation of the future volatility of an asset, derived from the prices of options on that asset. It is an input into option pricing and is not a forecast of direction.

Reference ETP: An exchange-traded fund or exchange-traded product that provides exposure to, replicates the performance of, or has trading and/or price performance characteristics similar to bitcoin, including the iShares® Bitcoin Trust ETF (IBIT).

Bitcoin: A digital asset created, transferred, used and stored by participants in an online, peer-to-peer network known as the Bitcoin Network. The total supply of bitcoin is limited to 21 million coins as established by the Bitcoin Protocol. The value of bitcoin is not backed by any government, corporation or other centralized authority.

Important Information

Before investing in the Fund, the investment objective, risks, charges and expenses must be considered carefully. The statutory prospectus contains this and other important information about the Fund. Copies may be obtained by visiting www.hedgeyeam.com/HBIT or calling +1 (888) 711-8292. Read it carefully before investing. 

Investing involves risks including the risk of principal loss. The Adviser is newly formed and has limited experience managing an ETF. Accordingly, investors in the Fund bear the risk that the Adviser’s inexperience may limit its effectiveness.

The Fund is a recently organized management investment company with no operating history. As a result, prospective investors do not have a track record or history on which to base their investment decisions.

Market data and statistics referenced herein are as of the dates indicated, are obtained from sources believed to be reliable, and are provided for informational purposes only. Such information does not constitute a forecast, projection or recommendation, does not reflect the performance of the Fund, and should not be relied upon as an indication of future market conditions or Fund results. Past market conditions are not indicative of future results.

Investing in the Fund is not equivalent to investing in bitcoin. The Fund does not invest directly in bitcoin or any other digital asset, and the Fund’s performance will differ from that of bitcoin. The Fund’s options contracts will limit the Fund’s participation in any gains in the price of the Reference Asset and may not offset all losses related to any decreases in value experienced by the Reference Asset. There is no assurance that the Fund’s hedging techniques will be effective, and such techniques involve costs that may reduce gains or result in losses.

Bitcoin and Digital Asset Risk. The trading prices of many digital assets, including bitcoin, have experienced extreme volatility in recent periods and may continue to do so. Extreme volatility in the future, including further declines in the trading price of bitcoin, could have a material adverse effect on the value of the Shares, and the Shares could lose all or substantially all of their value. Digital assets represent a new and rapidly evolving industry, and the value of the Shares depends on the acceptance of bitcoin. Bitcoin and the bitcoin market are subject to extensive and evolving regulation, and changes in laws, regulations, regulatory interpretations, enforcement priorities or judicial decisions may adversely affect the value of bitcoin and, consequently, the value of the Fund’s Shares.

Options Risk. The use of options involves investment strategies and risks different from those associated with ordinary portfolio securities transactions and depends on the ability of the Fund’s portfolio managers to forecast market movements correctly. The prices of options are volatile. There is no assurance that the Fund will be able to effect closing transactions at any particular time or at an acceptable price, and there may at times not be a liquid secondary market for certain options.

Cyber Security Risk. The Fund is susceptible to operational risks through breaches in cyber security. A breach in cyber security refers to both intentional and unintentional events that may cause the Fund to lose proprietary information, suffer data corruption or lose operational capacity.

Digital Assets/Cryptocurrency Risk. The performance of the Reference Asset, and consequently the Fund’s performance, is subject to the risks of the digital-assets/cryptocurrency industry. The trading prices of many digital assets, including the Reference Asset, have experienced extreme volatility in recent periods and may continue to do so. Extreme volatility in the future, including further declines in the trading prices of the Reference Asset, could have a material adverse effect on the value of the Fund’s shares and the Shares could lose all or substantially all of their value.

FLEX Options Risk. FLEX Options held by the Fund will be exercisable at the strike price only on their expiration date. FLEX Options are listed on an exchange; however, it is not guaranteed that a liquid secondary trading market will exist. In the event that trading in the FLEX Options is limited or absent, the value of the FLEX Options may decrease.

Key Man Risk. Hedgeye Risk Management’s ability to publish Risk Range™ Signals daily, which are a critical input to the Fund, is heavily dependent on the manual activities of a single individual. In that individual’s absence, the Risk Range™ Signals will be published by another individual using a formula that incorporates the same factors but is not identical. If that individual were to leave Hedgeye Risk Management or become unable to calculate the Risk Range™ Signals, the Signals may not function as designed and may adversely impact the Fund.

Risk Range™ Signal Publication Risk. The Risk Range™ Signals are made available daily by Hedgeye Risk Management to other subscribers, including both retail and institutional investors. The Adviser receives the Risk Range™ Signals at the same time as all other subscribers. As a result, subscribers may be able to act on the daily Risk Range™ Signals ahead of the Fund.

Non-Diversification and Concentration Risk. The Fund is non-diversified, which means that it may invest a greater percentage of its assets in a particular issuer than a diversified fund. Non-diversification increases the risk that the value of the Fund could go down because of the poor performance of a single investment or limited number of investments. The Fund will be concentrated in the industry or group of industries assigned to bitcoin and the Reference ETPs.

Transaction Cost and Cash Redemption Risk. Because the Fund turns over its option positions weekly or more frequently, it will incur high transaction costs, which may affect the Fund’s performance and may result in higher taxes when Shares are held in a taxable account. The Fund may be required to sell or unwind portfolio investments to obtain the cash needed to distribute redemption proceeds, which may cause it to incur brokerage costs and to recognize capital gains it might not have recognized had it made a redemption in-kind.

ETFs are subject to additional risks that do not apply to conventional mutual funds, including the risks that the market price of an ETF’s shares may trade at a premium or discount to its net asset value, an active secondary trading market may not develop or be maintained, or trading may be halted by the exchange on which they trade, which may impact an ETF’s ability to sell its shares. Shares of any ETF are bought and sold at market price (not NAV) and are not individually redeemed from the ETF. Brokerage commissions will reduce returns.

For additional information about these and other fund risks, please refer to the “Principal Investment Risks” section of the prospectus.

Neither the Fund nor the Adviser is affiliated with the iShares® Bitcoin Trust ETF or any other Reference ETP. Hedgeye Asset Management, LLC is a separate legal entity from Hedgeye Risk Management, LLC. All HAM asset management services are made independently by portfolio managers at HAM and, as such, funds may vary from HRM research.

The Distributor is Foreside Fund Services, LLC.

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SOURCE Hedgeye Asset Management

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Women in Revenue Launches AI Leadership Council to Ensure Women Help Shape the AI Economy, Not Just Survive It

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Built to ensure women are set to thrive in an AI world, the Council comprises senior leaders from business, technology, academia, and public policy

DENVER, Aug. 27, 2026 /PRNewswire-PRWeb/ — Women in Revenue (WIR), the nonprofit membership organization dedicated to advancing women’s professional success and contribution to business growth and revenue generation, today launched its AI Leadership Council, a new working body of senior executives, researchers, and policy leaders. This collective was formed to answer a crucial question largely overlooked: can AI become the first force that meaningfully disrupts the structural barriers that prevent women from reaching maximum potential in the workplace?

“The claim that women are behind on AI gets repeated constantly and tested almost never. We are not going to argue with the narrative. We are going to test it,” said Cherilynn Castleman, Co-Chair of the AI Leadership Council, Managing Partner at CGI LLC, and Harvard Instructor.

Most of the current dialogue around AI focuses on disruption, automation, and risk. Far less attention has gone to a more consequential question: how do we actively steer AI’s trajectory, while there is still time, so that it closes gaps instead of hardening them? The AI Leadership Council was built to pursue that question through rigorous inquiry, original research, and interdisciplinary dialogue among leaders in business, technology, academia, workforce transformation, and public policy. The Council’s work will center on examining how AI is reshaping women’s paths to power, leadership and economic participation.

Inaugural members are:

Ginna Santy, PhD, Co-Chair and Executive Director of Women in RevenueCherilynn Castleman, Co-Chair, Managing Partner, CGI LLC, Harvard InstructorAmanda Van Nuys, Director, Outbound Product Marketing, Agentic CX Biz Applications and Agents at MicrosoftDina Habib O’Mara, Independent Advisor, employed at Microsoft, Global Industry Partner GTM Strategy LeaderDaniela Gorza, Co-founder and COO, MaigentMindy Honcoop, Founder and Executive Advisor/Coach, Agile HRSirisha Swahari, VP of US Global Operations, CGIDiana Brunelle, Chief People Officer, SnykUrvashi Batra, Co-founder and CEO, PrioriwiseBriar Harvey, Founder, Neurodiversity Media NetworkEmily Leahy, Founder, InPhase

“AI is not inherently neutral: it reflects the data, human inputs, and systems that shape it. In workplaces that were never designed for women to thrive, leaving those inputs unexamined risks automating and scaling existing inequities,” said Dr. Ginna Santy, Co-Chair of the AI Leadership Council and Executive Director of Women in Revenue. “Left unchallenged, AI won’t simply reproduce those inequities; it will automate them, scale them, and make them feel even more unassailable than they already are. This Council may be our last real opportunity to intervene before yesterday’s biases become tomorrow’s workplace infrastructure. Women will not win if they are the end users of an AI economy built without them.”

“The claim that women are behind on AI gets repeated constantly and tested almost never. We are not going to argue with the narrative. We are going to test it,” said Cherilynn Castleman, Co-Chair of the AI Leadership Council, Managing Partner at CGI LLC, and Harvard Instructor. “This Council is built on original research into how AI is changing who gets hired, whose work gets credited, and who gets promoted. The findings go where the evidence goes.”

The Council will hold its inaugural meeting on September 11 at Snyk’s Boston headquarters, opening with a session titled “The Operating System: What Is AI Actually Optimizing For?”

“AI will reshape opportunity at a scale few technologies ever have, which makes it essential that the people shaping its future bring a wide range of experiences and perspectives to the table,” said Diana Brunelle, Chief People Officer at Snyk. “Snyk is proud to support the Women in Revenue AI Leadership Council and its work to help ensure AI is developed and adopted in ways that are secure, responsible, and capable of expanding opportunity.”

The session will examine which behaviors AI systems reward and which they quietly devalue, where bias is being encoded versus erased, and who ultimately decides what “good” output looks like. It will produce the Council’s first thought leadership deliverable: a published framework naming the hidden defaults of enterprise AI, paired with a set of diagnostic questions every woman leader can ask of the tools in her stack. Additional sessions are in development and will be announced in the coming months.

Organizations and individuals interested in learning more about the AI Leadership Council, its research agenda, or membership should contact Sally Abdelnabi at sally@womeninrevenue.org.

About Women in Revenue

Women in Revenue (WIR) is a 501(c)(3) nonprofit organization that empowers professional women to thrive in the revenue-generating roles crucial for individual and business success and long-term economic growth. With a community of 10,000+ members, WIR fosters growth through mentorship, networking, and professional development to help women advance their careers. WIR is supported by funding partner Tiger Global Impact Ventures and sponsors including Clari/Salesloft, Snyk, 6Sense, and others. All WIR research is conducted independently, without sponsor influence over its findings or conclusions. For more information or to become a WIR member, visit womeninrevenue.org.

Media Contact:

Stacey Paris-Bechtel

Breakaway Communications for Women in Revenue

sparis@breakawaycom.com

Media Contact

Stacey Paris-Bechtel, Breakaway Communications for Women in Revenue, 1 2126166003, tsheehy@breakawaycom.com, www.womeninrevenue.org

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SOURCE Women in Revenue

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TestMu Conference 2026: TestMu AI’s Flagship Event Marks a New Milestone in the World of Agentic Engineering and Quality

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Over 75,000 Registrations, 145 Speakers, and Unprecedented Insights into the Future of Agentic Software Development and Autonomous Quality

SAN FRANCISCO and NOIDA, India, Aug. 27, 2026 /PRNewswire/ — TestMu AI (formerly LambdaTest), the world’s first Agentic AI-powered Quality Engineering platform, concluded the fifth edition of the Testµ (‘TestMu’) Conference 2026, a 3-day virtual summit to discuss the future of agentic engineering and quality, and establish a clear, actionable vision for the industry’s shift to autonomous software development.

The conference had a massive global convergence of talent and ideas, attracting over 75,000 registrations from testers, developers, engineering leaders, AI/ML engineers, and community members from the software testing and development community across 120+ countries. The event saw outstanding engagement, with 10,000+ attendees, underscoring the critical importance of the topics and the conference’s role as an essential forum for the world’s top engineering talent.

The agenda was driven by a historic gathering of industry titans and enterprise leaders from the world’s most innovative companies, including Microsoft, Meta, Replit, Databricks, Glean, Hinge Health, Salesforce, Piramal Finance, and others. The speaker roster featured Luis Héctor Chávez, Chief Technology Officer, Replit; Francesca Lazzeri, Principal Group Director, Microsoft; Thomas Dohmke, Co-Founder and CEO, Entire; Dona Sarkar, Chief Troublemaker – Microsoft Enterprise AI Advocacy, Microsoft; Rushabh Mehta, Software Engineer, Meta; Nilesh Dalvi, Engineering Leader, Glean; Rashi Agrawal, Head of AI, Hinge Health; Viktoria Semaan, Principal Technical Evangelist, Databricks; and many others.

Three core industry imperatives emerged from the summit’s 96 sessions, panels, and workshops. First, trust must be engineered, not assumed, as AI agents take on a growing share of the engineering workload, rigorous evals, verification layers, and continuous validation are the only way to make autonomous systems trustworthy at scale. Second, agentic workflows must graduate from pilots to production, enterprises need production-grade quality gates, observability, and governance to move AI-driven engineering beyond experimentation and into mission-critical delivery. Finally, the human quality layer will define the winners of the agentic era, engineering leaders must build the culture, skills, and operating models that allow teams to adopt, supervise, and genuinely trust AI coworkers.

“This year, Testµ (TestMu) Conference marked the moment the industry moved from talking about agentic AI to engineering it responsibly,” said Asad Khan, CEO and Co-Founder of TestMu AI. “Across three days, we saw the world’s best engineering minds converge on a shared conviction: autonomous systems demand autonomous quality. The conversations and innovations unveiled here will define how software is built, tested, and shipped for the next decade. Our commitment is to continue empowering this community with the platform and vision needed to lead the agentic era.”

The conference was supported by a rich ecosystem of partners, including Accenture, Capgemini, LTIMindtree, Microsoft, Persistent, Wipro, and many others.

Building on this monumental success, TestMu AI has announced that the sixth annual Testµ Conference will return from August 24-26, 2027, promising to once again gather the world’s brightest minds to push the boundaries of technology.

To learn more, visit: https://www.testmuai.com/testmuconf-2026/

Register for TestMu Conference 2027 here: https://www.testmuai.com/testmuconf-2027/ 

About TestMu AI
TestMu AI (Formerly LambdaTest) is a Full-Stack Agentic AI Quality Engineering platform that empowers teams to test intelligently and ship faster. Engineered for scale, it offers end-to-end AI agents to plan, author, execute, and analyze software quality. AI-native by design, the platform enables testing of web, mobile, and enterprise applications at any scale across real devices, real browsers, and custom real-world environments.

For more information, visit www.testmuai.com

Media Contact
Nikhil Saxena
Corporate Communication Manager
TestMu AI
nikhils@testmuai.com
+919870981968

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Dr. Monica Parrish Trent Named Executive Director of the National Restaurant Association Educational Foundation

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WASHINGTON, Aug. 27, 2026 /PRNewswire/ — The National Restaurant Association Educational Foundation today announced Monica Parrish Trent, PhD as the organization’s next Executive Director. Dr. Trent will advance the Foundation’s strong legacy while advancing its mission to empower people from all backgrounds with the training and education needed to succeed in the restaurant, foodservice, and hospitality industry.

Dr. Trent has more than 25 years of experience across higher education, workforce development, and national nonprofit leadership, focused on building pathways that connect education and training to meaningful careers and economic opportunity. Her professional journey includes faculty and leadership roles at diverse, multi-campus community colleges before moving into executive leadership in the national nonprofit sector. Throughout her career, she has led complex initiatives through distributed partner networks and built collaborations among educators, employers, funders, and community partners to translate strategy into programs that can be implemented and scaled.

Most recently, she served as Chief Program and Network Officer at Achieving the Dream (ATD), where she led national program and workforce strategy across a network of more than 300 community colleges.

“Monica is an exceptional leader who cares deeply about the power and opportunity in getting people into the right job,” said Michelle Korsmo, CEO of the National Restaurant Association Educational Foundation. “Her ability to tell a powerful story around an organization’s mission and developing partnerships and programs to bring it to life will benefit the Foundation as it provides experienced career exploration and workforce readiness in the restaurant industry to young people seeking these workplace entry roles.” 

“The restaurant and hospitality industry creates opportunities for millions of people, and its workforce growth depends on ensuring they have clear pathways to develop the skills, credentials, and experience employers need,” said Dr. Trent. “I have spent my career bringing educators, employers, and communities together to strengthen career pathways and help people move from learning to meaningful careers. I’m excited to bring that experience to the Foundation and help more people turn the skills they gain and credentials they earn into greater possibilities for advancement. Having worked in restaurants while I was a student, I saw firsthand how the industry opens doors for people from a wide spectrum of life experiences and how a job can grow into a lifelong career that supports a family and strengthens a community.”

The National Restaurant Association Educational Foundation invests in individuals throughout their career journeys, equipping them to grab ahold of industry opportunities to create a better future for themselves, while building communities that foster their growth and development. With a people-first focus, the Foundation empowers the restaurant and foodservice industry to maximize its potential as America’s second-largest private employer. Learn more here.

About the National Restaurant Association Educational Foundation (NRAEF): As the supporting philanthropic foundation of the National Restaurant Association, the NRAEF’s charitable mission includes enhancing the industry’s training and education, career development, and community engagement efforts. The NRAEF and its programs work to Attract, Empower, and Advance today’s and tomorrow’s restaurant and foodservice workforce. NRAEF programs include: ProStart® – a high-school career and technical education program; Restaurant Ready/HOPES – Partnering with community based organizations to provide people with skills training and job opportunities; Military – helping military servicemen and women transition their skills to restaurant and foodservice careers; Scholarships – financial assistance for students pursuing restaurant, foodservice and hospitality degrees; and the Restaurant & Hospitality Leadership Center (RHLC) – accredited apprenticeship programs designed to build the careers of service professionals. For more information on the NRAEF, visit ChooseRestaurants.org

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SOURCE National Restaurant Association Educational Foundation

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