Connecticut can’t take action against Kalshi for now, judge rules

cointelegraphPublished on 2025-12-10Last updated on 2025-12-10

Abstract

A US judge has temporarily blocked Connecticut from taking enforcement action against prediction markets platform Kalshi, which received a cease and desist order from the state’s Department of Consumer Protection (DCP) for allegedly conducting unlicensed sports gambling. Kalshi sued the DCP, arguing its event contracts are legal under federal law and fall under the exclusive jurisdiction of the Commodity Futures Trading Commission. The court has paused enforcement while it reviews Kalshi’s motion for a preliminary injunction, with further legal proceedings scheduled through February. Kalshi, a CFTC-regulated platform that saw record trading volume in November, is also engaged in similar legal battles with multiple states, including New York, Massachusetts, New Jersey, Nevada, Maryland, and Ohio, over regulatory jurisdiction and gambling licensing.

A US judge has granted prediction markets platform Kalshi a temporary reprieve from enforcement after the state of Connecticut sent it a cease and desist order last week for allegedly conducting unlicensed gambling.

The Connecticut Department of Consumer Protection (DCP) sent Kalshi, along with Robinhood and Crypto.com, cease and desist orders on Dec. 2, accusing them of “conducting unlicensed online gambling, more specifically sports wagering, in Connecticut through its online sports event contracts.”

Kalshi sued the DCP a day later, arguing its event contracts “are lawful under federal law” and its platform was subject to the Commodity Futures Trading Commission’s “exclusive jurisdiction,” and filed a motion on Friday to temporarily stop the DCP’s action.

*An excerpt from Kalshi’s preliminary injunction motion arguing that the DCP’s action violates federal commodities laws. Source:* *CourtListener*

Connecticut federal court judge Vernon Oliver said in an order on Monday that the DCP must “refrain from taking enforcement action against Kalshi” as the court considers the company’s bid to temporarily stop the regulator.

The order adds that the DCP should file a response to the company by Jan. 9 and Kalshi should file further support for its motion by Jan. 30, with oral arguments for the case to be held in mid-February.

Kalshi is in a battle with multiple US states

Kalshi is a federally regulated designated contract maker under the CFTC and, in January, began offering contracts nationally that allow bets on the outcome of events such as sports and politics.

Related: How prediction markets raise insider trading and credit risks

Its platform has become hugely popular this year and saw a record $4.54 billion monthly trading volume in November, attracting billions in investments, with Kalshi closing a $1 billion funding round earlier this month at a valuation of $11 billion.

However, multiple US state regulators have taken issue with Kalshi’s offerings, which have led to the company being embroiled in lawsuits over whether it is subject to state-level gambling laws.

Kalshi sued the New York State Gaming Commission in October after the regulator sent a cease and desist order claiming it offered a platform for sports wagering without a license.

In September, Massachusetts’ state attorney general sued Kalshi in state court, which the company asked to be tossed. So far this year, Kalshi has sued state regulators in New Jersey, Nevada, Maryland and Ohio, accusing each of regulatory overreach.

Magazine: Can Robinhood or Kraken’s tokenized stocks ever be truly decentralized?

Understanding Hash in One Article: The "Browser Miner" on Ethereum

Hash is an Ethereum-based ERC-20 token described as a "browser-minable post-quantum token." Its key features include enabling browser-based GPU mining without specialized hardware, a fixed supply cap of 21 million tokens, immutable and permissionless smart contracts with no team allocation or pre-mining, and an emphasis on post-quantum security using Keccak256 hashing. The mining mechanism is a simplified on-chain proof-of-work where miners solve unique challenges tied to their wallet address. Key design elements prevent answer theft, with epochs resetting every 100 blocks (~20 minutes) and a per-block minting limit. Emission follows a Bitcoin-like halving schedule every 100,000 mints, starting at 100 tokens per mint. Projections suggest all tokens could be mined within approximately 294 days if a target rate of one mint per minute is sustained. Hash emphasizes "post-quantum" security by leveraging hash-based primitives like Keccak256, which are considered more resistant to quantum attacks compared to elliptic-curve cryptography. While not a fully post-quantum asset, it aligns with Ethereum's broader post-quantum research narrative. The project completed its Genesis sale at $0.03 and began trading on Uniswap, with its price reaching around $0.19. The initial circulating supply is small, with 5% sold in Genesis and 5% allocated to liquidity. The majority (47.6% of total supply) is allocated to early-stage mining, leading to a front-loaded emission schedule. This structure, combined with low initial liquidity, makes Hash a high-volatility, high-risk project dependent on sustained miner participation and market demand to absorb new supply.

marsbit2m ago

Understanding Hash in One Article: The "Browser Miner" on Ethereum

marsbit2m ago

OpenAI's Largest Internal Wealth Creation: 600 People Cash Out a Total of $6.6 Billion, 75 Take Home the Maximum $30 Million Each

A Wall Street Journal report reveals OpenAI's unprecedented pre-IPO wealth creation. In a single employee stock sale last October, over 600 current and former employees sold shares, collectively cashing out approximately $6.6 billion. Due to high investor demand, the company tripled the individual sale cap to $30 million, with about 75 employees selling the maximum amount. This event represents the largest such transaction in tech industry history for a private company. OpenAI's valuation was $500 billion for this tender offer. Employees with over two years of tenure were eligible, allowing many post-ChatGPT hires their first liquidity event. The company's stock has reportedly grown over 100-fold in seven years. Following a restructuring, employees collectively hold about 26% of OpenAI. The scale of executive wealth is also staggering. In court testimony related to Elon Musk's lawsuit, President and co-founder Greg Brockman confirmed his OpenAI stake is worth around $30 billion. Analysis indicates about 165 current and former employees hold a combined ~$164.9 billion in equity, averaging nearly $1 billion per person in paper wealth. OpenAI's per-employee stock-based compensation is estimated to be 34 times the average of major tech firms before their IPOs. OpenAI continues its rapid ascent, closing a $122 billion funding round at an $852 billion valuation in March. With monthly revenue hitting $2 billion, over 900 million weekly ChatGPT users, and plans for a potential trillion-dollar IPO in late 2026, this wealth-creation engine shows no signs of stopping.

链捕手24m ago

OpenAI's Largest Internal Wealth Creation: 600 People Cash Out a Total of $6.6 Billion, 75 Take Home the Maximum $30 Million Each

链捕手24m ago

An In-Depth Analysis of the Reasons Behind the Recent Surge in the Memory Storage Industry

"Understanding the Recent Boom in the Memory Industry" summarizes the key structural shift in the memory sector driven by AI. Traditionally, the memory industry (DRAM, NAND) has been highly cyclical, with prices driven by inventory cycles and consumer electronics demand, which can be deferred. However, AI has fundamentally changed the demand structure. AI workloads create continuous, non-deferrable demand for high-bandwidth memory (HBM) due to GPU memory bottlenecks. This high-margin HBM production is prioritized by major manufacturers like Samsung, SK hynix, and Micron, structurally reducing the supply of traditional DRAM and NAND. Consequently, the market is transitioning from a spot-based model to a contract-based allocation system. HBM supply is reportedly booked through 2026, leading to spot shortages and sharp price increases for other memory types. Delivery lead times have also extended dramatically. Pricing power is shifting from the open market to those with long-term contracts. Primary beneficiaries are HBM-leading suppliers and large hyperscalers (Microsoft, AWS, Google) that can lock in future supply. Key risks to this "AI supercycle" include a potential slowdown in AI capital expenditure, disruptive new memory architectures, or a return to aggressive industry capacity expansion, which could reintroduce cyclicality.

marsbit27m ago

An In-Depth Analysis of the Reasons Behind the Recent Surge in the Memory Storage Industry

marsbit27m ago

BlackRock Expands Tokenized Finance Push With New Treasury Fund Filings

BlackRock, the world's largest asset manager, has intensified its push into tokenized finance by filing with the SEC to create a new fund. Named the BlackRock Daily Reinvestment Stablecoin Reserve Vehicle, the proposed fund would invest in cash, U.S. Treasuries, and repurchase agreements. It would issue "OnChain Shares" using a permissioned system linked to public blockchains, with Securitize Transfer Agent LLC maintaining ownership records. In a separate move, BlackRock also filed to establish an onchain share class for its existing BlackRock Select Treasury Based Liquidity Fund. For this, the transfer agent BNY Mellon outlined plans to use Ethereum's ERC-20 standards, combining blockchain data with offchain identification. These filings represent a significant expansion into tokenization, the process of creating digital tokens for traditional assets like funds. Advocates believe this technology can enhance transparency, enable 24/7 trading, and speed up settlement times.

TheNewsCrypto46m ago

BlackRock Expands Tokenized Finance Push With New Treasury Fund Filings

TheNewsCrypto46m ago

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

NVIDIA and Corning announced a multi-year strategic partnership on May 6, 2026, with NVIDIA committing up to $3.2 billion to support Corning's U.S. expansion. This investment will triple Corning's manufacturing plants and significantly boost its optical fiber and communications production capacity. The core driver behind this massive investment is the fundamental shift from copper to optical interconnect technology within AI data centers. As GPU clusters scale, copper wires face critical limitations: severe signal attenuation over distance, high energy consumption for signal integrity, and excessive heat generation. Optical fiber, transmitting light instead of electrical signals, solves these issues with minimal loss, near-light speed, and lower power needs. The article outlines a three-stage evolution of data center interconnect: 1. **Traditional Copper Interconnects:** The mainstream solution of the 2010s, now being phased out due to scaling bottlenecks. 2. **Pluggable Optical Modules:** The current mainstream, where modules convert electrical signals to light externally. This process still introduces energy loss and latency. 3. **CPO (Co-Packaged Optics):** The next-generation technology where the optical engine is integrated directly with the GPU chip package. This drastically reduces the electrical signal travel distance to mere millimeters, slashing power consumption and latency while boosting data density. NVIDIA CEO Jensen Huang has identified CPO as an essential core technology for AI infrastructure. NVIDIA's investment signifies a strategic shift from being a buyer to actively controlling its supply chain for critical components. With demand for specialized optical fiber far outstripping supply—evidenced by soaring prices—securing long-term manufacturing capacity has become a competitive necessity. While Corning's expansion may pressure some suppliers, a projected global fiber supply gap of 5-15% over the next few years creates a significant opportunity window, particularly for Chinese manufacturers competitive in optical preforms, chips, and modules. Ultimately, NVIDIA's move is not about chasing a trend but an engineering imperative. The transition to light-based interconnects like CPO is driven by the physical limits of copper, marking a definitive step in the ongoing AI computing revolution.

marsbit49m ago

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

marsbit49m ago

Trading

Spot

Futures

Hot Articles

How to Buy T

Welcome to HTX.com! We've made purchasing Threshold Network Token (T) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Threshold Network Token (T) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Threshold Network Token (T)After purchasing your Threshold Network Token (T), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Threshold Network Token (T)Easily trade Threshold Network Token (T) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

11.3k Total ViewsPublished 2024.03.29Updated 2025.03.21

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of T (T) are presented below.