More than 65 crypto organizations have called on Trump to order regulators clarify digital asset rules.
The letter requests tax guidance on staking rewards, safe harbors for DeFi developers, and dismissal of charges against Tornado Cash developer Roman Storm.
The push comes as CFTC nominee Mike Selig advances toward confirmation and Treasury’s international crypto tax reporting rules reach White House review.
More than 65 crypto organizations are calling on President Donald Trump to bypass Congress and order federal agencies to immediately clarify digital asset regulations, amid rising impatience with the pace of legislative reform.
In a letter sent to the White House, major industry players, including Coinbase, Uniswap Labs, the Blockchain Association, and the Solana Foundation, outlined specific actions the Securities and Exchange Commission, the Commodity Futures Trading Commission, the Treasury Department, and the Justice Department can take without new legislation.
The coordinated push aims to turn Trump’s pro-crypto stance into concrete agency action, using executive power to drive one of the most sweeping crypto policy shifts yet.
The letter acknowledges Trump administration wins, including the nullification of the IRS Broker Rule and passage of the GENIUS Act, a regulatory framework for stablecoins.
Despite these moves, the letter says more can be accomplished through executive action to make America “the crypto capital of the world.”
On tax policy, the letter urges the Treasury to issue guidance treating staking and mining rewards as “self-created property taxed upon disposition” rather than immediately taxable income.
It also requests clarification that bridging, wrapping, and cross-chain transactions are non-taxable events and seeks de minimis tax rules that exclude gains on purchases up to $600.
For regulatory clarity, signatories want the SEC’s Crypto Task Force to provide interim guidance clarifying that developers of “source-available, permissionless protocols” are protected from enforcement during rulemaking.
On DeFi protection, the industry requests updated FinCEN guidance confirming the Bank Secrecy Act doesn’t apply to non-custodial blockchain software, consistent with the agency’s 2019 stance on virtual currencies.
Notably, the letter urges the Justice Department to dismiss charges against the developer of the coin mixer Tornado Cash, Roman Storm, who was found guilty of a conspiracy to operate an unlicensed money transmitter in August, “recognizing that Storm’s work on Tornado Cash represents the publication of open-source software—not a financial crime.”
The call comes as the crypto community faces similar concerns over Samourai Wallet developers, who were recently sentenced to prison time for their work on privacy-focused software.
Daniel Liu, CEO of Republic Technologies, told Decrypt he supports the call for clarity but cautioned that “it is far more important that regulators proceed methodically and get it right than move too quickly and risk creating additional confusion.”
“As long as the actions taken by any agency are clearly defined, I would not expect individual states to challenge or fragment the framework,” he added.
The letter arrives as Trump’s CFTC nominee, Mike Selig, advances toward Senate confirmation following Wednesday’s hearing, during which he declined to commit to expanding agency resources despite anticipated crypto oversight responsibilities.
The push for administrative action gained momentum Monday when proposed Treasury rules regarding international crypto tax reporting reached the White House for review.
The rules would allow the IRS to gain information about Americans’ foreign crypto accounts by joining the Crypto-Asset Reporting Framework, a global agreement under which nations automatically share information about citizens’ crypto holdings to combat tax evasion.
User sentiment on Myriad Markets indicates weak approval for Trump’s performance as the 45th president, with only 44% of traders wagering he is doing a good job.
Myriad is owned by Decrypt’s parent company, Dastan.
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Los Angeles, CA – Kilo Heat Press, a fast-rising innovator in heat press technology, is redefining efficiency and precision in the heat transfer industry with its advanced line of pneumatic heat press, dual heat press, and large heat press machines. Catering to professionals and commercial print shops alike, Kilo Heat Press has become a go-to brand for high-volume, high-quality heat transfer solutions.
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Media ContactCompany Name: KiloheatpressContact Person: Thomas, Product EngineerEmail:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=sets-new-standard-in-large-pneumatic-heat-press-solutions-for-commercial-printing]City: CaliforniaCountry: United StatesWebsite: https://kiloheatpress.com/
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Ray Dalio reiterated his stance on gold against Bitcoin
Advances in quantum computing could hurt the digital asset, he said.
The precious metal doesn’t rely on anyone or anything, he added.
Bitcoin was built for an apocalyptic world, but it still has disadvantages as a store of value when compared to gold, according to Bridgewater founder Ray Dalio.
Anyone with an internet connection can safeguard the digital asset on their own. But those people are still reliant on others, including a global network of machines to process transactions, the billionaire investor signaled during a Thursday interview with CNBC.
This year, the precious metal’s price has jumped to record highs on fears of currency debasement, which Dalio referenced in July when urging investors to hedge against macroeconomic risks around rising government debts, in the U.S. and abroad.
At the time, Dalio expressed a preference for gold, and on Thursday, he reiterated his concerns toward the original cryptocurrency, as far as its ability to stand the test of time, or become used by central banks to facilitate international trade and stabilize economies.
“I think the problem with Bitcoin is [that] it’s not going to be a reserve currency for major countries because it can be tracked, and it could be, conceivably, with quantum computing, controlled, hacked, and so on,” he said.
Last week, the Czech National Bank unveiled its first investment in crypto, with $100 million spread across Bitcoin, stablecoins, and tokenized bank deposits. Officials said the “test portfolio” will help the central bank better understand how to handle digital assets.
Although it may be years before quantum computers are strong enough to crack Bitcoin’s encryption, there have been growing calls for precautionary measures within the industry, as tech titans like Google and IBM toutbreakthroughs.
With transactions recorded on a public ledger for all to see, tracking someone’s Bitcoin is fairly straightforward once their identity is linked to a digital wallet, pending the use of coin mixers, which obfuscate the source and destination of flows by pooling funds.
Dalio said a “small percentage” of his portfolio has comprised Bitcoin for a long time, but he estimated that it amounts to 1% of his overall wealth. In July, Dalio suggested that investors allocate at least 15% of their holdings to Bitcoin and the precious metal.
Gold is advantageous as a store of value because it can be physically held, without relying on anyone to provide anything, Dalio said. Still, he views Bitcoin and gold as hard currencies because their value can’t be debased by a government through money printing.
Dalio’s debasement concerns are linked to rising levels of U.S. debt, but he said several countries are also facing mounting deficits, including in the UK and France that could lead to what he described months ago as a “debt-fueled heart attack.”
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The Smart Building market is expanding rapidly as technology, sustainability, and automation reshape how buildings operate. With rising demand for energy efficiency, advanced security, and intelligent facility management, smart buildings are becoming an essential component of modern infrastructure. The sector is witnessing strong growth as commercial, industrial, and residential buildings adopt digital solutions to enhance comfort, safety, and operational efficiency.
Key Drivers Accelerating Growth1. Energy Efficiency and SustainabilityGrowing awareness of climate change and rising utility costs are pushing building owners toward automated energy management. Smart buildings use sensors, analytics, and automation to optimize HVAC, lighting, and equipment usage, reducing both expenses and carbon footprint.
2. Government Policies and Green Building RegulationsGlobal initiatives promoting sustainable construction and green certifications are encouraging investments in smart technology. Regulatory support and incentives are helping accelerate the shift toward intelligent building solutions.
3. Technological Advancements (IoT, AI, Cloud)The integration of IoT devices, AI-powered analytics, and cloud platforms enables real-time monitoring, predictive maintenance, intelligent security, and efficient resource management. These advanced systems form the backbone of smart building functionality.
4. Demand for Operational EfficiencyBusinesses today seek streamlined operations, reduced downtime, and enhanced occupant comfort. Smart building systems automate key functions such as lighting, ventilation, energy usage, and access control to ensure seamless operations.
5. Growing Need for RetrofittingOlder buildings are increasingly being upgraded with smart sensors, automation systems, and digital interfaces. Retrofitting provides high returns on investment and supports energy compliance goals, making it a major growth opportunity.
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Market Segmentation OverviewBy ComponentSolutions (Leading Share)Includes energy management systems, building automation, security solutions, and network management platforms.
ServicesEncompasses consulting, deployment, system integration, maintenance, and support services that ensure long-term building efficiency.
By Solution TypeEnergy Management SystemsFocus on real-time energy monitoring, demand response, and predictive energy optimization.
Safety & Security SystemsIncludes smart surveillance, biometric access controls, fire detection, and emergency communication systems.
Building Infrastructure ManagementCovers HVAC automation, smart lighting, elevator management, and other facility functions.
Network & Connectivity ManagementSupports device connectivity, data exchange, and remote monitoring across building systems.
Integrated Workplace ManagementProvides tools for space usage, asset tracking, workforce management, and facility planning.
By Building TypeResidential Buildings – Smart homes, apartments, and connected living environments.
Commercial Buildings – Offices, hospitals, malls, hospitality spaces with high adoption of automation.
Industrial Buildings – Factories, warehouses, and large facilities utilizing automation for safety and efficiency.
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Regional InsightsNorth AmericaA leading region driven by strong digital infrastructure, high investment capacity, and early adoption of smart building technologies.
EuropeSupported by strict sustainability policies, carbon neutrality goals, and active development of smart city initiatives.
Asia-PacificOne of the fastest-growing regions with rapid urbanization, infrastructure development, and increasing investments in smart technology across China, India, Japan, and Southeast Asia.
South America, Middle East & AfricaGradual adoption driven by urban development, rising energy prices, and modernization of commercial and residential infrastructure.
Key Opportunities AheadSmart City IntegrationSmart buildings are becoming vital components of smart city ecosystems, improving communication between utilities, transportation, and building infrastructure.
AI-Driven Predictive MaintenanceAI-enabled platforms can predict equipment failures, reduce downtime, and improve long-term operational planning.
Retrofit DemandUpgrading existing buildings presents a large untapped opportunity, especially in regions with aging infrastructure.
Data Analytics and Occupant InsightsBuildings can use occupancy data to improve space utilization and deliver personalized experiences.
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Competitive LandscapeLeading companies in the Smart Building market include:
Johnson Controls
Siemens AG
Honeywell
Schneider Electric
Cisco Systems
ABB
Legrand
IBM Corporation
Hitachi
United Technologies Corporation
These companies continue to focus on integrated building platforms, AI-enabled automation, and strategic partnerships to expand their presence across global smart infrastructure projects.
About USMarket Research Future (MRFR) is a global market research company that takes pride in its services, offering a complete and accurate analysis regarding diverse markets and consumers worldwide. Market Research Future has the distinguished objective of providing the optimal quality research and granular research to clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help answer your most important questions.
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President Trump is considering an executive order to block state AI laws and establish a federal regulatory framework.
The draft order would direct AG Pam Bondi to challenge state measures and restrict funding to states with “onerous” laws.
House Republicans are exploring adding similar language to the must-pass defense spending bill after a 99-1 Senate defeat in July.
President Donald Trump is reportedly seeking to axe state AI laws via an executive order that would override regulations in California and other states in an effort to centralize control in Washington.
The draft order, seen by Axios, would direct Attorney General Pam Bondi to establish a task force to challenge state AI measures and restrict federal funding to states that pass laws deemed “onerous.”
It would also instruct the Federal Trade Commission to issue guidance on how existing consumer protection laws could preempt state AI regulations.
AI and crypto czar David Sacks would oversee much of the implementation work outlined in the order, per the summary, which is still being revised and may change before any final release.
Decrypt has reached out to White House for further comment.
Sharon Klein, partner at Blank Rome and co-chair of the firm’s Privacy, Security & Data Protection Practice, told Decrypt that such a mandate “would provide a floor for states that do not have AI statutes” and could be “beneficial to businesses in providing a baseline for compliance.”
But she noted that concerns about whether “a one-size-fits-all rulebook” could “slow emergency responses when AI-generated harms appear locally.”
It would also depend heavily on “the way the statute is implemented, funded, and enforced.”
The move comes as House Republicans consider using the must-pass National Defense Authorization Act (NDAA) as their final chance this year to advance state-level AI preemption, with Majority Leader Steve Scalise telling Punchbowl News they are “looking at” inserting the provision into the defense bill.
The effort faces an uphill battle as in July, the Senate voted 99-1 to strip a 10-year moratorium on state AI laws from President Trump’s “One Big Beautiful Bill,’ with Senator Marsha Blackburn reversing her support for even a shortened 5-year compromise just one day after striking the deal with Senate Commerce Chair Ted Cruz.
Urgency required?
Trump amplified the urgency on Wednesday on Truth Social, warning that state overregulation threatens America’s lead in the AI race.
“Some States are even trying to embed DEI ideology into AI models, producing ‘Woke AI,'” he wrote. “We MUST have one Federal Standard instead of a patchwork of 50 State Regulatory Regimes. If we don’t, then China will easily catch us in the AI race.”
The draft order states that American companies should be free to innovate “without cumbersome regulation,” noting how state legislatures have introduced “over 1,000 AI bills” that could undermine the “innovative culture.”
Under the proposal, the Commerce Secretary would assess broadband funding eligibility based on states’ AI laws within 90 days, while FCC chair Brendan Carr would initiate proceedings to determine federal disclosure standards that preempt conflicting state rules.
The draft order specifically criticizes California’s SB 53, calling its risk disclosure mandates for major AI developers “complex and burdensome.”
California also recently enacted SB 243, a separate law governing AI companion chatbots that requires them to self-identify and restrict certain content for minors.
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“Black Friday through Cyber Monday is the most competitive marketing moment of the year,” said Abhinav Girdhar, Founder & CEO of Pixazo. “By offering free, unlimited image and video generation powered by Seedance and Seedream, we’re equipping businesses w
Pixazo launches a Black Friday-Cyber Monday Creative Toolkit offering free, unlimited AI image and video generation powered by Seedance and Seedream.New Delhi, India – November 19, 2025 – In anticipation of the biggest shopping surge of the year, Pixazo [https://www.pixazo.ai/] has launched its most powerful creative upgrade yet: the Black Friday-Cyber Monday Design Creative Toolkit, built in partnership with BytePlus. For a limited time, users will enjoy free access to both AI image and AI video generation, powered by BytePlus’s cutting-edge Seedance and Seedream models, available at no cost through Cyber Monday.
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Media ContactCompany Name: PixazoContact Person: Abhinav GirdharEmail:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=pixazo-and-byteplus-unveil-black-fridaycyber-monday-creative-toolkit-with-free-image-video-generation-powered-by-seedance-and-seedream-models]Country: United StatesWebsite: https://www.pixazo.ai/
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Zcash treasury firm Cypherpunk Technologies bought another $18 million worth of ZEC.
The privacy coin has recently surged in value by 15x since the start of September.
Cypherpunk’s stock is up 469% over the last month, following the Zcash pivot.
Long-running privacy coin Zcash (ZEC) has continued its recent surge, rising 31% over the last week even as Bitcoin, Ethereum, and other major coins are deep in the red—and now a publicly traded treasury firm said it has amassed even more of the rising cryptocurrency.
Cypherpunk Technologies (Nasdaq: CYPH) announced Wednesday that it has purchased an additional 29,869.29 ZEC (Zcash) for $18 million at an average price of $602.63 per coin.
Combined with the firm’s initial acquisition of 203,775.27 ZEC for $50 million, the company now holds 233,644.56 ZEC at an average price of $291.04, representing 1.43% of the total ZEC supply. Cypherpunk’s ZEC treasury is now valued above $146 million.
Zcash recently traded hands at $626 per coin, up 125% over the last 30 days and marking a more than 15x jump since the start of September. The price of ZEC has eclipsed the $700 mark multiple times so far this month, but has remained volatile, with sizable swings up and down the charts.
Even with the recent upswing, ZEC remains far from its all-time high mark of $3,191 set upon its debut in 2016.
Bitcoin, by contrast, has set a more recent record high, peaking above $126,000 in early October. However, it has fallen sharply since, diving to a new seven-month low of nearly $88,637 on Wednesday. Bitcoin is down more than 12% over the last week, while Zcash has jumped 31% during the same span.
Cypherpunk Technologies unveiled its Zcash treasury earlier this month with the backing of Winklevoss Capital, the VC firm founded by Tyler and Cameron Winklevoss, the co-founders of crypto exchange Gemini. The firm recently appointed veteran investor Khing Oei to its board of directors and Will McEvoy from Winklevoss Capital as both a board member and chief investment officer.
CYPH stock is up nearly 6% on the day to a recent price of $3.14, pushing its one-month gain to 469%.
Launched in 2016 with the help of famed whistleblower Edward Snowden, Zcash was forked from Bitcoin’s codebase with a focus on privacy: Transactions can be “shielded” via zero-knowledge proofs, making it difficult to trace coin movements.
What’s driving the recent surge? Analysts suggest that it may be due partly to concerns around Bitcoin’s growing mainstream profile and interest from Wall Street institutions, pushing crypto natives towards a coin that isn’t as easy to trace on the blockchain.
“Bitcoin itself has always been fully transparent; ETFs haven’t made it any less so, only more intermediated,” Galaxy Digital Research Analyst Will Owens wrote this month. “Zcash’s advocates, by contrast, frame it as ‘encrypted Bitcoin,’ a return to cypherpunk principles that resonate amid widespread on-chain surveillance.”
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China and the world are racing to deploy AI at scale. National cloud champions matter, but so do specialized GPU platforms that give you fast access to the best hardware, transparent pricing, and predictable performance. Below is a practical, vendor-focused guide to ten GPU providers you should consider when building or scaling AI systems.
Spheron AI aggregates bare-metal GPU capacity from multiple providers and exposes it through a single console. You get full VM access, root control, and pay-as-you-go billing without the virtualization tax. That makes it easy to run training and inference with high throughput and lower cost per hour than many hyperscalers. Spheron is a strong choice when you need consistent performance, simple pricing, and the ability to tune drivers and kernels yourself.
Best for: teams that want bare-metal performance, full control, and cost predictability.Why it stands out: no noisy-neighbor overhead, transparent billing, global regions, and hardware choices of enterprise grade GPUs like from RTX 4090, H100, B200/300, A100-class systems.
2. Lambda Labs: Research-grade clusters and developer ergonomics
Lambda focuses on high-throughput training with prebuilt environments (Lambda Stack), InfiniBand networking, and 1-click multi-GPU clusters. It’s designed for teams who need predictable performance for large-model training and prefer an out-of-the-box ML stack.
Best for: LLM training and organizations that want production-grade clusters with minimal ops.Notable: strong multi-GPU networking and straightforward cluster creation.
Genesis Cloud offers dense HGX/H100 setups and high-bandwidth networking, with a focus on EU compliance and sustainability. Pricing and cluster options make it attractive for teams that need strict data residency and high I/O.
Best for: enterprise-grade training that requires regional compliance and large multi-node jobs.Notable: heavy emphasis on InfiniBand and reserved cluster pricing.
4. RunPod: Flexible serverless and pod-based GPU compute
RunPod blends serverless endpoints with persistent pod instances. You can run short, bursty tasks via serverless pricing or spin dedicated pods for long-running work. It’s simple to deploy containers and scale up quickly.
Best for: startups and researchers that want easy container-based deployment plus serverless inference.Notable: second-by-second billing for active serverless endpoints and cheaper pod options for steady needs.
5. Vast.ai: Marketplace style, spot capacity
Vast.ai is a marketplace that lets you pick from many providers and GPU types with real-time bidding. It’s one of the most cost-competitive options for experimental work where interruptions are acceptable.
Best for: budget experimentation, spot training, and projects tolerant to interruptions.Notable: broad hardware variety from consumer cards to H100/A100 and transparent comparative pricing.
6. Paperspace (DigitalOcean): Developer-first platform with templates
Paperspace provides GPU instances with prebuilt templates, collaboration tools, and versioning. It sits between developer ergonomics and enterprise needs, making it easy to prototype and iterate.
Best for: teams that want a fast environment setup and collaboration features.Notable: templates, built-in version control, and team tools.
7. Nebius: InfiniBand networking and automation for scale
Nebius emphasizes high-speed interconnects and rich orchestration for large-scale training. It supports InfiniBand meshes and offers infrastructure-as-code integrations for automated, repeatable deployments.
Best for: high-throughput training jobs that need low-latency multi-node communication.Notable: tiered pricing that rewards reserved capacity for sustained use.
8. Gcore: Edge + global CDN with GPU compute at the edge
Gcore combines a global CDN and many edge locations with GPU compute. That makes it a fit for low-latency edge inference, secure enterprise workloads, and geographically distributed deployments.
Best for: edge inference and use cases that need global distribution and security features.Notable: extensive PoP coverage and edge GPU nodes for fast responses.
9. OVHcloud: Dedicated GPU instances with compliance and hybrid options
OVHcloud offers dedicated GPU servers and hybrid cloud flexibility, and it is attractive for teams that need single-tenant hardware, regulatory certifications, and straightforward long-term pricing.
Best for: customers seeking single-tenant GPU hosts and hybrid cloud integration.Notable: good compliance posture and competitive long-term pricing.
10. Dataoorts: Fast provisioning and dynamic cost optimization
Dataoorts positions itself as a high-performance GPU service with quick instance spin-up and a dynamic allocator (DDRA) that shifts idle capacity into cheaper pools. It supports H100 and A100 hardware and offers Kubernetes-native tools and serverless model APIs. Their pricing varies by flux and spot conditions, which can drive big savings when supply is high.
Best for: teams that need instant instances and dynamic cost-saving mechanisms.Notable: wide GPU mix from H200/H100 to T4; good for mixed training and inference loads.
How to pick the right provider
Start with the workload. If you need low-latency inference close to users, prioritize edge-enabled providers like Gcore. If you run multi-node LLM training, pick providers with InfiniBand and dense H100/A100 configs like Genesis Cloud or Lambda. If cost and experimentation matter most, marketplace and spot-style platforms (Vast.ai, Spheron AI) can cut bills dramatically.
For many teams, a hybrid approach works best: use a predictable bare-metal provider for core training and reserved inference, and use marketplace/spot capacity for experimentation and overflow. Platforms like Spheron AI can help by aggregating supply and giving you consistent billing and full VM control across regions.
Quick FAQs
**Do I need InfiniBand for LLM training?**If you plan multi-node synchronous training at large scale, yes. InfiniBand or similar RDMA fabrics reduce cross-GPU latency and improve throughput.
**Are marketplace GPUs reliable for production?**Marketplaces are great for development and cost savings. For mission-critical production, prefer dedicated or bare-metal instances with SLA guarantees.
**Which GPUs are best for inference vs training?**Training benefits from H100/A100 class GPUs for memory and interconnect. Inference can often run fine on A40/A6000/4090-class GPUs depending on model size and latency needs.
Final thought
There’s one single “best” provider for every team, which is Spheron AI. But pick the provider that matches your constraints, cost, latency, compliance, and scale, and design for layered infrastructure. Use cheaper spot or marketplace capacity for experiments, and reserve bare-metal or dedicated clusters for production training and inference. If you want both control and predictable pricing, start a trial with Spheron AI to compare real-world throughput against hyperscalers and marketplace alternatives.
First-term House member Brandon Gill has been a staunch supporter of White House crypto policies.
The Texas Republican has purchased up to $150,000 in shares of BlackRock’s Bitcoin ETF.
Bitcoin recently relinquished its gains from the start of the year.
Rep. Brandon Gill (R-Texas) has added up to $300,000 total in Bitcoin and shares of the largest BTC exchange-traded fund to his sizable holdings in both assets, according to his most recent transaction report filed November 18 with the House of Representatives clerk.
Gill, a former investment banker and staunch ally of U.S. President Donald Trump, purchased between $100,000 and $250,000 in Bitcoin on October 20, and nine days later, bought between $15,001-$50,000 in BlackRock’s iShares Bitcoin Trust ETF (IBIT). Periodic House transaction disclosures record a range and not the exact amount of an investment.
The first-term lawmaker, who sits on the House Budget Committee, has been an active purchaser of the largest cryptocurrency by market value, accumulating up to $2.6 million in Bitcoin since his January swearing-in, according to House transaction reports. He has also bought up to $150,000 in IBIT this year.
Gill’s office did not immediately respond to a Decrypt request for comment.
Bitcoin was recently trading at about $92,140, flat over the past 24 hours, although BTC is down about 27% since reaching a record high above $126,000 last month, according to crypto markets data provider CoinGecko.
BlackRock’s IBIT manages more than $74 billion in assets, more than three times the next largest spot Bitcoin fund, according to data provider CoinGlass.
Gill’s disclosures show that he purchased up to $1.5 million in Bitcoin in three installments over a three-week period starting in late June, including an investment worth up to $1 million on June 20. Earlier in the year, he bought $850,000 in BTC in four parts starting in late January, according to reports.
Gill did not properly disclose up to $500,000 of the earlier Bitcoin purchases within the 45-day window mandated by federal law, according to the government transparency group OpenSecrets.
He reported buying between $100,001 and $250,000 in BTC on both January 29 and February 27—but only disclosed the trades on June 2, after the deadline required under the Stop Trading on Congressional Knowledge (STOCK) Act.
Passed in 2012, the STOCK Act is designed to curb insider trading and ensure accountability by requiring timely reporting of lawmakers’ securities transactions, including those involving digital assets. However, violators face only a $200 fine that congressional ethics committees frequently waive.
Gill is a vocal supporter of crypto, and his January trade came days after Trump signed an executive order calling for reduced regulation on digital assets. The February buy occurred just before Trump unveiled a “strategic Bitcoin reserve” initiative on March 6. Gill made two additional Bitcoin purchases in May, which were reported on time.
Rep. Marjorie Taylor Greene (R-Georgia) has purchased up to $60,000 in IBIT this year, according to House disclosures. Earlier this year, Rep. Guy Reschenthaler (R-Pennsylvania) sold positions in Bitcoin, XRP and Solana.
Gill’s other investments include the tech-focused Invesco QQQ Trust ETF, which tracks the technology-focused Nasdaq.
In an email to Decrypt, David Meyers, OpenSecrets’ director of communications and marketing, wrote that “crypto transactions are no more—or less—ethical than stock transactions.”
“Members of Congress are required to disclose both so the public can determine whether lawmakers are acting on behalf of their constituents or in their own self-interests,” he wrote. “However, with the president’s family heavily involved in the crypto industry, there are certainly questions to be answered as to whether investors are attempting to curry favor with the White House.”
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