Connect with us

Crypto World

Polymarket sues Massachusetts over prediction market rules

Published

on

Polymarket sues Massachusetts over prediction market rules

Polymarket has taken legal action against Massachusetts officials, seeking to block the state from restricting its prediction markets.

Summary

  • Polymarket sued Massachusetts officials after a court ruling against rival Kalshi.
  • The platform says federal CFTC rules override state gambling laws.
  • The case could shape how prediction markets operate across the U.S.

The move comes as U.S. regulators and courts step up scrutiny of platforms that allow users to trade on real-world events, especially in sports.

On Feb. 10, Polymarket filed a lawsuit in federal court against Massachusetts Attorney General Andrea Campbell and state gaming regulators. The company said the threat of enforcement is “immediate and concrete,” following a recent ruling against rival platform Kalshi.

Advertisement

According to Polymarket, state intervention would disrupt its national operations, fragment its user base, and force it to choose between federal compliance and state restrictions. The company argues that its markets fall under federal oversight and should not be treated as local gambling products.

Federal authority vs. state gambling laws

At the center of the case is a dispute over who has the right to regulate prediction markets.

Polymarket says its event contracts are governed by the Commodity Futures Trading Commission. Under federal law, the CFTC oversees derivatives and futures markets, including certain types of prediction products. The company claims this authority overrides state-level gambling rules.

In its complaint, Polymarket pointed to comments made on Jan. 29 by CFTC Chairman Michael Selig, who said the agency would re-assess how it handles cases testing its jurisdiction. Shortly after, the CFTC filed an amicus brief in a related lawsuit involving Crypto.com.

Advertisement

Massachusetts courts have taken a different view. Last week, a state judge refused to pause a ban on Kalshi’s sports contracts, ruling that the platform must follow state gaming laws. The judge said Congress did not intend federal regulation to replace traditional state powers over gambling.

Kalshi has appealed the decision but was denied a stay. The ruling requires the company to block Massachusetts users from sports markets within 30 days.A federal judge in Nevada also recently denied Coinbase’s request for protection from a similar enforcement action, adding to the legal pressure on prediction platforms.

Robinhood, which partners with Kalshi, is now seeking its own injunction in Massachusetts to avoid state licensing requirements.

Advertisement

Growing pressure on prediction platforms

Polymarket’s lawsuit reflects wider tensions between fast-growing prediction markets and state regulators.

In a statement posted on social media, Polymarket chief legal officer Neal Kumar said the company is fighting “for the users.” He argued that state officials are racing to shut down innovation and ignoring federal law.

He added that Massachusetts and Nevada risk missing an opportunity to support new market models that blend finance, data, and public forecasting. State officials have so far declined to comment on the lawsuit.

The case arrives as prediction markets gain mainstream attention. Jump Trading recently made investments in Polymarket and Kalshi, two platforms that have garnered institutional support. According to recent funding rounds, Polymarket is valued at approximately $9 billion. 

Advertisement

Supporters claim that by enabling users to trade on economic, sports, and election data, these markets enhance price discovery and public insight. Many contracts, according to critics, resemble unlicensed gambling and may put users at risk.

If Polymarket succeeds, it could limit the ability of states to regulate prediction markets and strengthen the CFTC’s role nationwide. A loss, however, may encourage more states to impose licensing rules or bans.

Source link

Advertisement
Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Crypto World

Bitmine ETH holdings hit 4.3M as firm buys $83M Ethereum in a day

Published

on

Bitmine ETH holdings hit 4.3M as firm buys $83M Ethereum in a day

Bitmine Immersion Technologies has pushed its Ethereum treasury to new highs, with total ETH holdings now standing at 4.326 million tokens, as the firm continued aggressive accumulation despite ongoing volatility in the crypto market.

Summary

  • Bitmine Immersion Technologies’ Ethereum holdings have reached 4.326 million ETH, representing about 3.6% of ETH’s circulating supply.
  • On-chain data shows the firm bought 40,000 ETH worth roughly $83.4 million in a single day, including a $42.3 million purchase from BitGo.
  • Nearly 2.9 million ETH are staked, underscoring Bitmine’s long-term strategy despite ongoing market volatility.

The Tom Lee–chaired company disclosed in a recent press release that its Ethereum stash now represents around 3.6% of ETH’s total circulating supply, cementing Bitmine’s position as the largest known corporate holder of the asset.

Combined with Bitcoin and cash reserves, Bitmine’s total crypto and cash holdings are valued at approximately $10 billion.

Advertisement

Fresh $83M ETH buy signals continued accumulation

On-chain data flagged by Lookonchain shows that Bitmine added significantly to its position on Monday.

According to the analytics account, the firm purchased 20,000 ETH worth about $42.3 million from BitGo, following an earlier buy of the same size.

“Bitmine has been steadily buying Ethereum, as we view this pullback as attractive, given the strengthening fundamentals. In our view, the price of ETH is not reflective of the high utility of ETH and its role as the future of finance,” said Tom Lee, Executive Chairman of Bitmine

Advertisement

Staking strategy anchors long-term bet on Ethereum

Bitmine said nearly 2.9 million ETH of its total holdings are currently staked, generating yield through its expanding Ethereum infrastructure operations. The company added that its ETH-focused strategy is aimed at long-term value creation rather than short-term price movements.

Chairman Tom Lee described recent price weakness as an opportunity, citing Ethereum’s history of sharp recoveries following deep drawdowns and pointing to staking yields as an additional source of return.

Ethereum has struggled to regain upside momentum amid broader risk-off sentiment across crypto markets. Still, Bitmine’s continued buying underscores growing interest among institutional players in Ethereum as a treasury asset, even as near-term price action remains uncertain.

Advertisement

Source link

Continue Reading

Crypto World

Why is Hybrid tokenization model gaining traction in 2026?

Published

on

AI Chatbots Powering the Future of HR Operations

Tokenization has rapidly evolved from a niche blockchain experiment into a strategic enabler for enterprises seeking greater liquidity, operational efficiency, and transparency across asset classes. However, as enterprises move beyond proof-of-concept initiatives, it has become increasingly clear that early, fully on-chain tokenization models are not designed to meet real-world enterprise requirements.

Enterprises operate within complex ecosystems defined by regulatory oversight, data privacy mandates, legacy infrastructure, and multi-jurisdictional compliance obligations. While public blockchain networks offer decentralization and transparency, they often lack the governance controls enterprises require. Conversely, fully private systems limit interoperability and long-term scalability.

This gap is being decisively filled by hybrid tokenization, a pragmatic and future-ready framework that blends blockchain innovation with enterprise-grade control. Hybrid models are emerging as the preferred foundation for enterprise asset tokenization, enabling organizations to unlock tokenized value without compromising compliance, privacy, or operational stability.

What Is Enterprise Asset Tokenization and Why Are Enterprises Re-Evaluating Tokenization Models in 2026?

Enterprise asset tokenization is the practice of using tokens built on blockchain technology to digitally represent ownership, rights and economic value of an enterprise’s asset[s] while embedding the governance, compliance, and operational controls that large organizations require.

Advertisement

Assets that can be tokenized include but are not limited to financial securities; portfolios of real estate; interests in private equity; commodities; infrastructure-related assets; intellectual property; and instruments for sharing revenue.

Numerous large structural shifts are influencing how organizations view and approach the tokenization of their assets:

  • The regulatory landscape has matured. As such, regulators are now requiring that asset tokenization projects be auditable and provide investor protection through jurisdictional enforcement rather than being experimental efforts.
  • Institutional participation has increased in the tokenization of assets. Institutional investors are establishing higher standards for how organizations should protect the confidentiality of their data, accurately report their results and mitigate risk.
  • There has been an expansion of operational scale; enterprises have progressed from conducting small pilots of tokenizing their assets to developing and implementing broad-based strategies for tokenizing multiple types of assets in multiple markets.
  • Enterprises can no longer avoid integrating their legacy systems and other operational platforms into their tokenization platforms. Tokenizing assets and developing tokenized asset-based products will require seamless integration between the tokenization platform and legacy ERP systems, the provider of custodial services, banks, and systems for complying with regulations.

These developments are causing organizations to rethink their evaluation of enterprise tokenization models by prioritizing those models that align with how they operate on a day-to-day basis rather than those that require organizations to alter their methods of operation.

Evaluate whether Hybrid Tokenization fits your Enterprise Roadmap

What Is a Hybrid Tokenization Model?

A hybrid tokenization model is an architectural approach that strategically distributes tokenization functions across blockchain networks and off-chain enterprise systems. Instead of forcing all processes onto a decentralized ledger, hybrid models apply blockchain selectively—where it delivers the greatest value—while retaining centralized control where required.

The following three components are integral to the hybrid tokenization architectural:

Advertisement
  • A blockchain layer for token issuance, ownership tracking, and transaction immutability
  • An off-chain enterprise layer for compliance, identity management, legal documentation, and sensitive data
  • Middleware that synchronizes on-chain events with off-chain business logic and enterprise workflows

The Hybrid Tokenization Models provide a method for Enterprises to maximize the use of Blockchain technology while minimizing their exposure to regulatory and operational risks.

How Hybrid Tokenization Architecture Combines On-Chain and Off-Chain Tokenization

The success of tokenization of hybrid assets is dependent upon how well the on-chain and off-chain tokenization functions are coordinated. Each layer has been specifically designed to carry out the operations that will work most effectively in that environment.

1. On-chain Tokenization Layer

The on-chain tokenization layer has responsibility for activities that can be carried out in a decentralized, immutable, and automated manner:

  • Issuing Tokens and Managing Their Life Cycle

Tokens will be generated on chain as a method of providing a cryptographic proof of ownership of the asset they represent. When life cycle events occur (minting, burning, freezing, or unlocking tokens), they are executed in an open and transparent manner to ensure that the integrity of the asset is maintained.

  • Records of Transfer of Ownership

All transfers of the token from one holder to another will be recorded on the blockchain, resulting in an unalterable record of who owns an asset. The result is a reliable record for enterprises, investors & regulators to rely upon to establish provenance of the asset and validate any corresponding transactions.

Smart contracts provide an automated means of enforcing all contractual obligations (e.g., transfer restrictions, vesting schedules, dividend distributions, redemption of asset rights). As a result of using smart contract execution, manual interventions can be reduced, reducing the likelihood of operational errors. All contractual obligations will be consistently enforced.

Auditability in real time is possible due to the recordkeeping of the blockchain. Regulators and internal compliance departments can verify the validity of transactions with no reliance on reconciled reports, thereby creating far greater trust and transparency with all parties involved.

Advertisement

2. Off-chain enterprise layer

The off-chain layer provides functionality that requires privacy, flexibility, and regulatory discretion.

  • KYC/AML Verification & Investor Accreditation

Identity verification in different jurisdictions has different processes and is continuously changing. By managing these workflows off-chain, businesses can quickly adapt their compliance logic to accommodate changing regulations and apply eligibility checks before participating on-chain.

  • Legal Agreements & Contractual Governance

Ownership of assets is determined by legal documentation (prospectuses, shareholder agreements, and regulatory filings). Off-chain storage of these documents provides the ability to keep them updated and still be cryptographically linked to the on-chain token.

  • Asset Valuation, Reporting, and Metadata Management

Many types of assets will need to be valued periodically, sometimes using third-party data feeds or human intervention. An off-chain system can facilitate accurate financial reporting and mitigate the risk of unnecessary oracle dependency.

  • Integration to Enterprise Systems

Hybrid architectures facilitate the integration of ERP systems, accounting packages, custodial services and banking infrastructure. This enables tokenization to build on existing operations and not disrupt them.

Tokenization Models Comparison: Public, Private, and Hybrid Enterprise Tokenization Models

A comprehensive tokenization models comparison highlights why hybrid approaches are increasingly favored by enterprises.

Public tokenization models

Public models operate entirely on open blockchains, offering transparency and composability. However, they present challenges such as:

  • Exposure of sensitive transaction data
  • Limited jurisdictional enforcement capabilities
  • Unpredictable transaction costs and network congestion
  • Governance dependency on public network consensus

While suitable for open ecosystems, public-only models struggle to meet enterprise governance and compliance standards.

Private tokenization models

Private models emphasize control and confidentiality but introduce other limitations:

Advertisement
  • Restricted interoperability and liquidity
  • Heavy reliance on centralized administrators
  • Limited external auditability
  • Reduced long-term flexibility

These constraints can hinder scalability and investor confidence.

Hybrid enterprise tokenization models

Hybrid models combine the strengths of both approaches:

  • Selective transparency with controlled access
  • Built-in compliance and governance mechanisms
  • Scalable participation across markets and asset classes
  • Future adaptability to regulatory and technological change

For enterprises pursuing long-term digital asset strategies, hybrid models offer the most resilient foundation.

Why Hybrid Tokenization Will Define Enterprise Asset Strategies

As enterprises consider tokenization as long-term infrastructure, decision-makers are increasingly prioritizing frameworks that align with governance, compliance, and scalability. In this shift, the hybrid tokenization model is emerging as the most practical and future-ready choice for enterprise asset tokenization.

Key factors contributing to the adoption of hybrid tokenization by enterprises:

  • Hybrid tokenization architecture balances decentralization with enterprise governance

Unlike fully public systems, hybrid tokenization architecture allows enterprises to use blockchain for immutable ownership and auditability while retaining off-chain control over compliance, identity, and legal enforcement—an essential requirement for regulated enterprise environments.

  • Supports regulatory-ready enterprise tokenization models

Enterprise tokenization models will enable the enterprise to manage compliance regulations, jurisdictional limitations, and reporting procedures off-chain, therefore enabling the enterprise to update its compliance regulations more easily and with fewer disruptions than if using a fully decentralized architecture.

  • Optimized use of on-chain and off-chain tokenization layers

A hybrid implementation allows an enterprise to maximize the benefits of implementing on-chain and off-chain tokenization while providing transparency, as appropriate, and confidentiality as needed on its blockchain infrastructure.

  • Delivers superior results in tokenization models comparison

In any realistic tokenization models comparison, hybrid tokenization approaches often surpass completely public and completely private tokenization approaches by delivering selective transparency, controlled access, and long-term scalability—critical factors in determining whether enterprises will adopt tokenized assets.

  • Enables scalable hybrid asset tokenization across multiple asset classes

With hybrid asset tokenization, enterprises can tokenize a variety of assets (e.g., securities, funds, real estate, RWAs) over a single shared blockchain layer while applying customized off-chain governance, valuation, and compliance workflows for each asset type.

  • Reduces cost volatility and operational risk at scale

Enterprises using fully public or private on-chain systems experience significant volatility in fees due to fluctuating network congestion and stable fees. In contrast, hybrid tokenization models move the majority of high-volume and compliance-centric processes off-chain and deliver a more predictable level of performance and cost savings as a result of this approach.

  • Strengthens institutional trust and accelerates market participation

Institutional investors require a high level of trust based upon the governance and enforceability of how assets are tokenized. Hybrid frameworks provide on-chain transparency coupled with off-chain legal and compliance controls to create a more credible and investable enterprise asset tokenization.

  • Best implemented with an experienced asset tokenization development company

In order to implement hybrid tokenization solutions, it is important to partner with an experienced asset tokenization development company with expertise in blockchain, compliance, and enterprise integration so that the architecture supports legislative and operational realities.

Explore Enterprise-Ready Hybrid Tokenization

A Strategic Enterprise Outlook

With more organizations starting to implement their tokenization initiatives instead of merely experimenting with these new technologies as they come to market, hybrid tokenization models are clearly proving to be one of the leading approaches for enterprise asset tokenization due to their ability to combine on-chain and off-chain tokenization in a manner that ensures transparency, governance, and flexibility to operate in various asset classes and jurisdictions.

Advertisement

Of all the various tokenization models being evaluated today, hybrid tokenization models stand out because they achieve a proper balance between innovation and control; thus, providing enterprises with the means to execute their long-term tokenization strategy through 2026.

Organizations cannot achieve hybrid tokenization at scale without deep technical and regulatory knowledge. As an established and reliable asset tokenization development company, Antier is able to assist these enterprises by not only providing the asset tokenization development services and expertise needed to design and deploy compliant hybrid tokenization architectures but also by providing the blockchain, Web3, and enterprise integration capabilities necessary to create tokenization platforms that will meet future regulatory requirements in an efficient and secure manner.

Source link

Advertisement
Continue Reading

Crypto World

Bitcoin, Ethereum, Crypto News & Price Indexes

Published

on

Bitcoin, Ethereum, Crypto News & Price Indexes

Jump Trading, a Chicago-based quantitative trading company, is reportedly set to acquire minority stakes in prediction market platforms Polymarket and Kalshi, underscoring growing institutional interest in the rapidly expanding sector.

The equity stakes would be obtained in exchange for providing trading liquidity on both platforms, Bloomberg reported Monday, citing people familiar with the discussions.

While the report did not disclose specific ownership percentages, Bloomberg said Jump’s stake in Polymarket would scale based on the liquidity the company ultimately provides.

Founded more than two decades ago, Jump Trading has long been a major player in proprietary financial trading and has expanded aggressively into digital assets. It has been active as both a market maker and venture investor in crypto, backing blockchain infrastructure projects and exchanges through its affiliated investment arms.

Advertisement

Polymarket and Kalshi are the two largest prediction market platforms, each commanding multibillion-dollar valuations following recent funding rounds.

As previously reported by Cointelegraph, Polymarket raised $2 billion from NYSE parent Intercontinental Exchange, valuing the company at $9 billion. In early December, Kalshi secured $1 billion in funding at an $11 billion valuation.

While both platforms allow users to trade on the outcomes of real-world events, they operate under different models. Polymarket is a decentralized platform built on the Polygon blockchain that enables onchain settlement of prediction contracts, whereas Kalshi operates as a centralized, federally regulated exchange in the United States.

Polymarket’s monthly volume has surged at the start of 2026. Source: Dune

Related: Trump Jr. joins Polymarket board as prediction market eyes US comeback

Prediction markets gain traction, but still face regulatory hurdles

Prediction markets gained mainstream attention after Polymarket’s event contracts accurately forecast the outcome of the 2024 US presidential election, highlighting the sector’s potential as a real-time information and risk-pricing tool. Industry analysts now estimate that prediction markets may generate trillions of dollars in annual trading volume by the end of the decade.

Advertisement

Eilers & Krejcik Gaming, a research and consulting company specializing in the global gambling and gaming industry, has identified sports-related contracts as a major driver of that growth. Speaking to CNBC in December, Eilers & Krejcik partner emeritus Chris Grove said sports betting could account for nearly half of the sector’s projected expansion.

Despite Polymarket’s early lead, Kalshi had largely caught up, with trading volumes at similar levels as of October. Source: Messari

Despite the growth potential, Grove cautioned that legal and regulatory challenges could slow adoption. 

Kalshi, which operates as a federally regulated prediction market, has received approval from the US Commodity Futures Trading Commission to run as a Designated Contract Market. However, the platform is facing pushback at the state level. Regulators in Nevada, Maryland, New Jersey and Ohio have challenged Kalshi’s offerings, triggering ongoing litigation and cease-and-desist actions.

Related: Polymarket wins regulatory approval to operate US trading platform