January 17, 2026

Jupiter DEX Launches Kalshi-Powered Prediction Market for F1 Mexico Grand Prix Winner

Jupiter DEX Launches Kalshi-Powered Prediction Market for F1 Mexico Grand Prix Winner

Note: teh supplied web⁣ search‍ results returned dictionary entries‍ for the word “find” and do not relate‍ to⁢ this ‌topic. Below is a journalistic ⁢introduction crafted for the requested article.

Jupiter DEX has launched a kalshi-powered prediction market that lets users wager on‌ the winner of⁢ the⁢ F1 Mexico Grand Prix, marking a notable convergence ⁤of decentralized finance and regulated event trading.‌ The⁣ new market – built ⁤on Jupiter’s Solana-based infrastructure and ​backed by Kalshi’s event-contract framework⁢ – ​opens ahead of⁢ the race,⁤ enabling ⁤crypto-native traders and motorsport fans to take positions on driver‌ outcomes in real ‍time. ‍Industry observers say ⁣the integration could broaden mainstream engagement with ⁣prediction markets ‍by combining Jupiter’s on-chain liquidity ⁣tools with Kalshi’s​ regulated ​market structure.
Jupiter DEX launches⁣ Kalshi powered prediction market‌ for Mexico grand‍ Prix ⁣winner

Jupiter DEX⁢ launches Kalshi‍ powered prediction market ‍for Mexico Grand​ Prix⁢ winner

Jupiter DEX has‍ integrated a ‌ Kalshi-powered market for⁢ the Mexico Grand Prix winner, creating a ‍bridge ⁤between a regulated event-exchange model ⁣and ⁣the ‍fast liquidity of the Solana ecosystem. By routing binary outcome contracts ⁢from‌ a CFTC-regulated ⁤venue through Jupiter’s front-end and on-chain liquidity rails, ⁢users can experience ⁤a familiar decentralized interface ‌while trading contracts that reflect off-chain settlement‍ finality. technically, ​this model relies on ‌off-chain order matching ‌and​ regulatory-compliant clearing ​for outcome determination, paired with on-chain custody‍ and settlement UX; ⁤oracles⁣ and clear ⁤settlement windows ‌remain ⁣critical ⁢to prevent disputes at resolution. For example, if the⁤ market price implies an implied probability of 30%‍ (displayed as $0.30 per $1 ⁣of payout), a $1 notional purchase costs $0.30 today and settles to $1 if the selected⁢ driver wins, illustrating how binary pricing converts ⁣market odds into‌ explicit dollar ‌exposure without‌ direct correlation ​to ‍spot⁤ Bitcoin price movements.

looking ahead, this integration highlights broader market‌ dynamics: event contracts ‌offer a low-correlation instrument that ‍can attract capital from both crypto-native traders ‍and⁣ more regulated​ participants, potentially ‍increasing on-chain ‌stablecoin flows (notably‍ USDC) and widening use cases for DEX aggregators beyond pure ⁣token swaps.⁣ For practitioners ⁤and newcomers ⁤alike, actionable steps include the following ‌considerations:‌ start small and understand settlement mechanics, evaluate available ​liquidity and slippage ⁣on‌ Jupiter, and treat⁣ outcome prices as⁢ probability signals ⁣rather⁤ than directional ⁣price forecasts.Experienced participants should layer position​ sizing and‍ risk controls-for example, ‍using ‍prediction markets to ⁣hedge event risk⁤ against ⁤options or futures positions⁤ on major assets like Bitcoin-while monitoring counterparty and regulatory risk tied to off-chain clearing. Key⁣ benefits​ and practical actions include:

  • Accessibility: ​ Simple UX for event ‌exposure ​through ‌Solana‌ wallets ‌and Jupiter’s routing.
  • Hedging: ‌use binary​ contracts to hedge idiosyncratic ​event⁤ risk ‌without ‌taking directional⁣ crypto⁣ bets.
  • Risk management: Verify ⁢settlement windows, oracle ⁢sources, and minimum ticket sizes⁤ before committing capital.
  • Liquidity awareness: ⁢Check orderbook depth‌ and​ implied spreads-smaller markets ⁢can move materially⁤ on⁤ modest flows.

Inside the Kalshi integration​ how ‌real ⁢time trading and settlement​ will ⁤work​ on Jupiter DEX

The Kalshi ‌integration onto ⁤Jupiter introduces a hybrid⁢ execution-and-settlement⁣ model ⁢that marries regulated,⁢ off‑exchange ⁤event contracts with ⁤on‑chain decentralized execution. In practice, Kalshi’s CFTC‑regulated ‍event outcomes are represented⁣ on the Solana ecosystem‌ as⁢ tradable, tokenized positions (typically⁣ as SPL​ tokens ⁤or wrapped representations) that Jupiter’s router and‌ liquidity pools ‌can source and trade in real time. Orders will be routed through Jupiter’s ​aggregation⁣ layer – combining Automated Market ⁣Maker‌ (AMM) ‌liquidity ‌and limit‑order liquidity where ‍available ⁣- and executed atomically on‑chain, with settlement triggered when Kalshi publishes an ​official‍ event resolution ‌via a vetted ⁤oracle or an on‑chain ​attestation. as solana⁣ offers subsecond block finality and ⁢high throughput (commonly cited in the⁣ range‍ of ~50,000-65,000‍ TPS ⁤with median confirmation times under​ 1 ‌second and ⁤typical⁣ transaction fees ⁣ <$0.001),users​ can⁢ expect materially ⁢lower execution and settlement ⁢latency versus legacy settlement rails; for example,a⁤ binary contract ⁣trading at $0.25 implies an implied probability⁢ of 25%, and immediate on‑chain settlement reduces ​counterparty exposure that‍ would‍ otherwise persist until off‑chain clearing. ⁣To summarize the practical ‌benefits and mechanics:⁢

  • Atomic settlement – execution and token ​transfer in ⁤a single on‑chain transaction, reducing settlement risk;
  • Regulated price‌ finding ⁢- ​Kalshi’s ⁢CFTC oversight brings formal‍ resolution ​standards and KYC/AML ‌frameworks;
  • High throughput ​ – Solana’s performance enables⁤ near‑real‑time fills, ‍improving market responsiveness;
  • Interoperability – tokenized contracts ⁤can be used as ⁤collateral, hedged with derivatives, or aggregated across‌ DEX liquidity.

Moving‍ from mechanics‌ to market‌ implications,this integration changes how traders,liquidity providers and institutional participants ⁤approach ⁢event risk⁤ and⁢ Bitcoin‑linked exposures. Because these markets ​create‌ explicit probabilities for discrete outcomes ⁣- as seen‍ in Jupiter ‍DEX’s recent⁤ Kalshi‑powered market for the F1 mexico Grand ⁣Prix winner – traders‌ can extract signals ​that feed into ⁣macro⁢ and ⁣crypto strategies: for instance, shifts in event ‌probability can influence ‌short‑term Bitcoin‍ sentiment around correlated ⁣macro events, while professional desks may hedge exposure‌ using BTC futures or options to neutralize ⁣directional gamma. That said, ‍the model⁣ introduces​ clear operational‌ and⁢ regulatory risks: oracle ⁤failure or delayed attestation can stall settlement, smart contract bugs or ‌insufficiently provisioned liquidity​ can⁤ create‌ slippage,⁤ and ⁢evolving⁢ regulatory interpretations (notably concerning tokenized‍ derivatives and cross‑border access) can alter market ⁣access or reporting obligations.Consequently, practical steps ‍differ by experience level ‌- ‍beginners should⁢ trade small sizes, use limit orders, confirm KYC/AML requirements and track⁤ tax reporting;‍ advanced participants should ⁤monitor on‑chain liquidity depth, exploit potential arbitrage ‌between on‑chain and off‑chain⁢ Kalshi prices, and ⁣deploy hedges (delta‑neutral strategies or⁢ cross‑market spreads) while ‍accounting for MEV and transaction fee⁣ variability. the​ integration represents⁣ a convergence of regulated⁣ derivatives and decentralized⁤ finance, amplifying capital ​efficiency and price discovery while also concentrating attention ​on oracle reliability, contract‌ audits and ⁢compliance as determinants of long‑term viability.

Regulatory ⁣and security safeguards under scrutiny ​as⁤ crypto prediction markets intersect⁣ with sports⁢ betting

As decentralized finance infrastructure increasingly‌ overlaps with traditional wagering, ‍regulators ​and security ⁤experts are‌ scrutinizing the technical ⁢and ‌legal seams‌ that bind these systems. At‍ the ⁢protocol‌ level, ‌concerns center on​ smart contract ‌ integrity, ⁤oracle reliability and custody models: prediction⁤ markets⁣ that⁤ settle using off‑chain event data introduce ‌ oracle attack vectors and ⁤raise questions about settlement finality and dispute ‍mechanisms. Simultaneously⁢ occurring,the⁤ on‑ramp of sports​ betting into⁤ crypto via⁤ platforms ⁢such​ as Jupiter DEX -⁢ which‍ recently⁣ launched a Kalshi‑powered prediction market for the F1 Mexico ‍Grand Prix ‌winner – exemplifies ⁣how ⁣regulated⁣ event ‍contracts⁤ can be tokenized​ and distributed on‑chain,bringing together liquidity pools,automated market makers and traditional exchange rules. In practice, low ​liquidity pools (for example, ⁢under $100k ⁣ in total value locked)​ can see slippage of 3-5%+ ⁤ on single trades, ⁣materially altering payout ​profiles⁤ and amplifying‍ the potential ⁢for​ market ⁢manipulation, wash trading and⁢ MEV extraction. Consequently, agencies ⁤such ⁣as the ⁣ CFTC and national ‍gambling ⁤authorities are evaluating jurisdictional⁢ claims, ⁢ AML/KYC ⁣obligations and whether existing securities ⁣or derivatives frameworks ‍should apply to tokenized event⁢ contracts.

Given these risks and opportunities, market participants should adopt differentiated safeguards depending on ‍experience level while watching‍ regulatory ⁢developments closely.⁢ For ‌newcomers,‌ prudent ⁤steps ⁢include using​ platforms​ with ​transparent compliance ‌postures, verifying that contracts are ⁤audited, and limiting⁢ exposure to a⁤ small ⁢share ‌of capital ⁣(1-2%‍ of portfolio) for ⁢speculative prediction ⁣bets;‍ additionally,⁤ use reputable custody (hardware wallets​ or regulated custodians) and prefer markets ⁤with⁣ demonstrable depth to reduce ‍slippage. For experienced traders and‍ builders, defensive measures involve integrating robust oracle redundancy, employing⁤ hedging strategies across futures or ‌options ⁣markets, and ⁤leveraging on‑chain⁢ analytics to monitor liquidity depth, unrealized position​ concentrations ⁢and suspected‌ manipulation. Actionable items to ‍consider:

  • Confirm ‌platform ⁤regulatory status and audit⁤ reports before trading.
  • Check ‌total⁢ value locked ‍(TVL) and‌ typical bid‑ask spreads to estimate slippage risk.
  • Use multi‑oracle feeds and ⁤timelocked settlement⁢ clauses ​where available.
  • Adopt‌ position‑sizing‍ rules (e.g., 1-2% for high‑volatility event ​contracts) and maintain diversification.

Ultimately, as tokenized ⁢prediction⁢ markets tied to sporting‌ events proliferate,‌ participants ‍must balance the efficiency ⁢gains ⁣ of on‑chain‌ markets‍ with evolving regulatory obligations and​ sound security hygiene to preserve market integrity and avoid enforcement ‌exposure.

How to read market ‍odds evaluate liquidity⁤ and​ manage ​risk before placing​ bets on the Mexico ⁢Grand ​Prix

Market prices in blockchain-based ⁢prediction ‍markets should be read‍ as tradable probabilities: a contract‍ trading⁣ at 0.25 ⁣implies an⁤ implied probability of ‌25%​ (price ⁢× 100), but prudent ⁤analysis adjusts that figure‌ for fees, protocol take rates and‍ slippage. In practice, ⁣liquidity ⁢characteristics-depth, spread and 24‑hour volume-are the decisive⁤ signals ​about execution​ risk. For ‌example, ⁢a⁣ spread ⁢wider than ⁤ 1-2% or quoted depth that cannot absorb an order equal‌ to your stake without moving ⁢the price materially indicates elevated ‌slippage and execution​ cost; conversely, tight spreads and robust depth reduce execution ​risk. Decentralized automated market ⁣makers ⁣(AMMs) such as liquidity pools ⁢on DEXs behave differently from centralized‍ order⁤ books: AMMs price via ⁢bonding curves, which means⁤ large trades move the price nonlinearly,‍ while‌ order-book venues can show ⁣explicit bid/ask ⁣stacks. Moreover, the recent launch of the Jupiter⁤ DEX Kalshi-powered prediction market for the F1 ​Mexico Grand Prix winner illustrates‍ how ‌ oracles and cross‑platform integrations are ⁢bringing traditional event⁤ markets on‑chain;⁤ therefore, one must verify the oracle source, ⁤settlement rules ‍and ⁤whether ⁣the ⁣contract uses a trusted smart contract ‌with public ‌audit⁢ history‍ before ⁢interpreting market ⁢odds as reliable signals.

Risk management must blend‍ traditional betting discipline ‌with crypto‑specific⁤ precautions, and actionable steps can be‍ summarized for newcomers and⁤ seasoned traders alike. first, size positions⁣ conservatively: limit speculative exposure⁤ to 1-2% of a diversified ⁣crypto ⁤portfolio​ (or up to 1-5% for ⁤experienced​ risk takers) ⁤and prefer limit orders to control entry price and reduce⁣ slippage. Second, perform smart‑contract ⁤and counterparty checks-confirm audits,⁤ on‑chain verification, and oracle robustness to guard​ against ​manipulation ⁢and MEV ⁣ extraction.​ Third, operational considerations matter: use ​ layer‑2 rails ‍to lower gas costs, hold settlement liquidity in stablecoins to avoid volatile on‑chain settlement losses,​ and monitor mempool/backlog ⁤for front‑running ⁤risks. ‍employ simple⁤ hedges‍ (e.g., ⁢offsetting small​ spot positions in BTC or inverse contracts) ‍and keep detailed⁤ records ⁣for compliance and tax purposes. To operationalize these recommendations, use the ⁣following checklist before placing‌ a⁢ bet:

  • Verify oracle and ‌settlement ⁤mechanism, and ‌confirm smart contract audit status
  • check ⁢bid/ask‍ spread, quoted depth, and 24‑hour volume; estimate expected slippage⁢ for your stake
  • Set position size relative to portfolio ⁢(1-2% ⁣ suggested for new users)
  • Prefer limit orders⁣ or staged entry to‍ reduce price impact
  • consider layer‑2 or gas‑efficient ⁢routes and stablecoin ‌settlement to manage ‌transaction costs

Market outlook and⁤ recommendations‌ for ⁣DEX operators sportsbooks and regulators

As Bitcoin enters its current ⁣cycle, market participants⁣ should evaluate​ both ⁣supply-side mechanics and evolving demand channels to form a measured outlook. The protocol’s‌ issuance schedule – a⁢ 50% ⁣reduction in block ⁣rewards every 210,000 blocks – remains a ⁣central⁣ structural driver of scarcity, ⁣while growing institutional⁣ on‑ramps such⁢ as custody ⁣services and spot ⁤vehicle adoption‌ have broadened buyer depth. At the​ same time, macro liquidity conditions and macroeconomic indicators influence capital ‌flows ⁤into⁤ risk‍ assets, so on‑chain indicators (active ⁤addresses, UTXO ​age distribution) and ⁣exchange netflows are useful ⁣leading signals rather than speculative predictors.⁤ Importantly, innovation at the intersection​ of DeFi and regulated markets is reshaping volume⁣ composition: such as, the recent launch of⁢ a Kalshi‑powered prediction​ market ‌ on jupiter ‍DEX for the ‍F1 Mexico Grand Prix winner demonstrates how​ Solana‑native orderbooks ⁣and regulated⁤ event contracts can be ⁣bridged to create new, event‑driven liquidity pools. Consequently, traders‌ and DEX ‍liquidity ⁣providers‌ should ⁢monitor event calendars and ​oracle‍ latency as ‌liquidity can concentrate⁤ around discrete events,‍ producing ​transient spikes in volume and ⁤fee revenue.

Given⁤ these dynamics, ⁤practical steps for DEX operators, sportsbooks and regulators ⁣fall into ⁤three complementary vectors: risk ‌engineering, market ‌design, ⁣and⁢ regulatory transparency. Operators ‍should ​prioritize robust oracle‍ architectures (decentralized ‌feeds‍ with authenticated‍ fallbacks), formal smart‑contract‍ audits and continuous on‑chain monitoring; ‌additionally,‍ adopt capital efficiency measures such as concentrated liquidity⁢ and⁤ leverage ‌controls‌ with conservative⁤ collateralization‌ targets⁣ (as‍ an example, maintaining ⁤ 125-150% ‌collateral for leveraged positions) and slippage thresholds to protect retail ‌users. for sportsbooks and ​prediction‑market builders, integrating regulated counterparties -‌ as shown by the Jupiter/Kalshi integration – can expand ⁤addressable markets while requiring‌ careful ‍hedging strategies and real‑time risk limits. Meanwhile, regulators should focus on proportionate frameworks that distinguish spot trading, derivatives⁣ and prediction markets,⁤ mandate clear proof‑of‑reserves, KYC/AML compliance, and require transparent ​fee and settlement⁣ mechanics to ​reduce systemic spillovers.to operationalize these recommendations, consider the following‌ best practices:

  • Deploy multi‑source oracles with cryptographic ‍attestations‌ and dispute windows
  • Require​ third‑party audits and⁤ continuous fuzzing/penetration testing of smart​ contracts
  • Publish standardized KPIs (liquidity depth, open interest,⁣ fee ‍yield) to improve‌ market surveillance
  • Implement tiered KYC and ​custody options to balance ⁢accessibility with regulatory compliance

Together, these measures⁢ help cultivate resilient liquidity,‌ limit‍ tail‑risk, and​ enable newcomers and experienced participants ‌alike to engage with​ Bitcoin‑linked‍ markets in⁤ a ‍transparent, accountable way.

Q&A

note:⁢ the web⁣ search results supplied with your request did not return material related to Jupiter DEX, kalshi, or the F1 Mexico Grand‌ Prix. The Q&A below is written to fit⁣ the headline‌ you supplied⁢ and follows⁣ common ⁢industry practices ​and journalistic ⁢standards; specifics should be ‌checked against the ⁢original​ declaration for​ precise fees,‍ timelines and technical details.

Q1: What has ​been launched?
A1: Jupiter DEX has launched a​ prediction market, ​powered by Kalshi, that ⁤lets users speculate on the winner⁤ of the Formula 1 Mexico Grand Prix. The product integrates Kalshi-backed event contracts into Jupiter’s trading ‍interface.

Q2: Who‍ are the parties⁢ involved?
A2: Jupiter DEX – ⁤a decentralized-exchange aggregator and trading interface, ‍primarily serving the Solana ecosystem⁣ – is the front-end provider. Kalshi,⁤ a U.S.-based event-contract exchange, supplies the underlying, regulatory-grade binary ‌event contracts and handles​ settlement and dispute resolution.

Q3: How does⁢ the market work?
A3: Traders⁣ buy⁤ and ⁣sell​ contracts ⁤that pay a ‌fixed amount if a named driver wins​ the Mexico ⁣Grand Prix and pay ​nothing if they do not. Prices move with market​ supply and demand and reflect implied probability of each driver’s‌ chance ⁢to win.Contracts typically open ‌prior to the race and settle after official results ⁤are confirmed.

Q4: How are ​outcomes verified and settled?
A4: Settlement and ⁢final outcome determination are handled by Kalshi ⁢according to ‌its published ⁤rules.‍ The result is ​expected to be based on the official race ⁢standings⁤ as⁢ confirmed ‌by Formula 1’s governing ⁣authorities (e.g., FIA) or other⁣ designated official sources specified in⁤ the contract terms.

Q5: Who can trade these contracts?
A5: Access depends on two ​sets ⁣of​ constraints: Jupiter DEX’s platform access ‌(including blockchain​ wallet compatibility)⁢ and‍ Kalshi’s​ regulatory and onboarding requirements. ⁣Kalshi has⁤ jurisdictional⁤ and ​KYC/AML requirements ⁢that may restrict participation from certain U.S. states‍ or international jurisdictions. traders should check​ both platforms⁢ for eligibility.

Q6: What are‌ the fees and costs?
A6:⁣ Fee structures can include Jupiter’s platform or execution fees and Kalshi’s trading⁢ or contract fees. Exact fee rates were not provided in the headline; prospective traders should​ consult ​the launch announcement or platform fee pages for current rates ⁢and​ any taker/maker⁣ differentials.

Q7: Is this betting or trading,⁣ and is⁣ it legal?
A7:⁢ Kalshi’s event contracts ‌are structured as regulated financial contracts rather‌ than conventional‍ sports betting in manny jurisdictions. Kalshi⁣ operates under​ U.S. federal​ oversight‌ and​ has built compliance mechanisms. ⁤Nevertheless,legal permissibility varies by ‍location,and users ⁢must ​ensure​ participation ⁣complies ‍with local⁣ laws.

Q8: How‍ does⁣ this differ ​from‌ traditional sports betting or other prediction platforms?
A8:⁢ Key distinctions‌ include ⁤Kalshi’s use of standardized,⁤ exchange-traded ⁤event contracts subject ‍to federal‍ oversight, and Jupiter’s decentralized interface⁢ and crypto-native user experience. ​Unlike casual betting apps,‌ these contracts settle to a binary ⁢financial payoff⁢ and may ⁢be⁣ traded ​on secondary markets before resolution.

Q9: What are ⁢the risks for ​traders?
A9:⁤ Risks ‍include ⁣loss‍ of capital from​ incorrect positions,⁤ platform or ⁣smart-contract risk ‌if blockchain components are used, regulatory or jurisdictional restrictions, liquidity constraints that can widen spreads, and the possibility of delays or disputes ‍in settlement. Traders should only allocate funds they‌ can afford‍ to lose.

Q10: Why choose the Mexico Grand Prix ⁣for⁢ a launch?
A10: ⁢High-profile F1 races attract global⁢ attention and⁣ liquidity. Launching a market tied to a ⁤marquee event like the Mexico Grand prix‍ can draw traders, generate volume, and ‍showcase the mechanics ‌of exchange-backed event contracts in a⁢ widely⁢ followed sporting context.

Q11:⁣ How ​can interested users participate?
A11: Users‍ should: 1) verify regional eligibility with Kalshi‌ and Jupiter, 2) set up any‍ required accounts ‌and complete KYC where needed, 3)​ connect compatible wallets⁢ or‍ funding sources if Jupiter’s⁣ interface requires crypto, and ⁢4) review contract specifics (opening/closing⁤ times, settlement rules, fees) before trading.Q12: What could ⁣this mean ⁢for the broader prediction-market space?
A12:⁣ The tie-up demonstrates a trend toward ⁤convergence ⁢between⁤ regulated event ⁣exchanges and⁤ crypto-native⁤ trading interfaces. ⁤If prosperous, such integrations may ‍broaden retail access, ⁤increase liquidity, ⁣and spur similar product launches ‍for‍ other sporting ⁢and political⁤ events – but they also raise⁣ questions about regulatory ⁣coverage, consumer protections and market‍ integrity.

Q13: ⁣Where ⁣can⁤ readers find‌ official details and⁤ updates?
A13: Readers should consult the official announcements from ⁤Jupiter‌ DEX and Kalshi, the ⁤platforms’ help centers for eligible ⁢jurisdictions and fee schedules, and the contract terms for the Mexico Grand Prix market for definitive ⁤rules ‍and​ settlement criteria.

If⁢ you’d like, ⁣I can draft ‍a short​ press-style summary or a longer ‌explainer about how Kalshi’s event contracts typically operate and how decentralized⁢ front-ends integrate ‌them. ⁤

Final Thoughts

As⁣ the engines rev up for⁢ the Mexico Grand Prix,Jupiter DEX’s Kalshi-powered prediction market ‍offers⁣ a ⁣real-time barometer⁢ of‍ fan sentiment and a test ⁢case‍ for blending decentralized trading with regulated event contracts. Beyond the‍ immediate‌ intrigue of picking a race winner, the‌ launch underscores a broader convergence: crypto-native marketplaces experimenting ​with ‍mainstream sports, while leveraging regulated ‍infrastructure ​to⁣ broaden participation.

Market participants should ‌weigh liquidity, fees ‍and the⁤ contract’s settlement terms before⁢ entering positions, and observers‍ will‍ be watching⁤ volumes ⁣and price discovery for signals about ‍adoption and⁤ product-market fit. The ⁤outcome of this experiment could shape how decentralized platforms collaborate ⁣with regulated exchanges on future sporting events; we ‌will continue⁤ to track developments and⁣ report ⁢on what they mean for the‌ evolving​ intersection of⁣ crypto and sports betting.

Previous Article

Andrew Cuomo’s crypto Hail Mary unlikely to give an edge over Mamdani

Next Article

ZETA NETWORK GROUP (NASDAQ: ZNB) STRENGTHENS BALANCE SHEET WITH USD 231 MILLION BITCOIN-BACKED INVESTMENT AMID MARKET TURBULENCE

You might be interested in …