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XTruth Integrates with OKX Onchain Outcomes to Provide Onchain Result Adjudication for World Cup Prediction Markets Summary XTruth has now integrated with OKX Onchain Outcomes, providing result submission, dispute resolution, and onchain settlement support for its World Cup prediction markets. OKX Onchain Outcomes serves as the infrastructure for this edition's official OKX World Cup prediction event. The first batch of markets covers six major categories — including overall champion and Golden Boot — as well as all 104 individual matches throughout the tournament. XTruth: Bringing Real-World Outcomes Onchain, Credibly XTruth is an open optimistic oracle deployed on X Layer, focused on solving one problem: how to credibly submit and settle clearly defined, verifiable real-world event outcomes onchain. Every prediction market needs a clear final outcome. Under XTruth's mechanism, a proposer submits an event result according to preset rules, while other participants can verify the proposal during a dispute window and challenge incorrect results. If a proposal goes unchallenged during the dispute period, the result moves to final settlement; if a dispute arises, it's handled according to the protocol's adjudication process. All proposals, challenges, and settlement records are recorded onchain and are publicly verifiable. XTruth also uses economic incentives to encourage community participation in result adjudication. Proposers who submit correct results earn adjudication rewards, while disputers who successfully challenge incorrect proposals can earn rewards according to protocol rules. The first round of community proposer recruitment has been completed, and the initial cohort of participants has already begun submitting and verifying match results in World Cup–related markets, earning OKB rewards in the process. Shortening Settlement Cycles for Time-Sensitive Markets Traditional optimistic oracles typically set relatively long dispute periods. Once a proposal enters the dispute process, the market may also need to wait for additional voting or adjudication time. For sporting events, results are usually clear shortly after the match ends, and users want markets to settle as quickly as possible. For these time-sensitive scenarios with clearly defined outcomes, XTruth supports configuring dispute periods as short as a few minutes, reducing the wait time from result submission to final settlement. A shorter dispute period doesn't mean skipping verification. Proposers still must submit results according to the rules and data sources predetermined by the market, and disputers can still challenge incorrect proposals within the allotted time. XTruth aims to strike the right balance between settlement efficiency and result reliability for high-time-sensitivity markets. Beyond Sports: Expanding into More Real-World Scenarios Sports isn't the only application XTruth is built for. As long as an outcome is clearly defined, the data source is well established, and a verifiable conclusion is possible, the same mechanism can be applied to macroeconomic events, onchain metrics, and entertainment data, among other scenarios. For example, whether a central bank rate decision resulted in a rate cut, whether a given chain's TVL exceeded a preset threshold at a specific point in time, or whether a film's opening-weekend box office (per a specified data source) hit a target figure — all of these can be defined as events requiring onchain adjudication. Such markets need to clearly specify, at creation, the object being observed, the data source, the measurement methodology, and the deadline. XTruth is then responsible for supporting result submission, dispute resolution, and final settlement. Exchange OS is an open protocol for the X Layer ecosystem. For prediction markets and dApps that require real-world result adjudication, XTruth plans to offer standardized oracle integration capabilities. Airdrop Season 1 Is Now Live XTruth Season 1 has officially launched, with a total ecosystem incentive pool of 5 million XTR allocated this season to reward participants who make meaningful contributions to the ecosystem. After completing basic tasks and qualifying for participation, users can get involved in three ways: joining the Hook x World Cup Hackathon to build a V4 Hook; completing designated tasks during the BillionLive World Cup season; or deploying and trading tokens on Eulr. For detailed task requirements, contribution calculation methods, and reward distribution rules, please visit: Becoming X Layer's Real-World Result Adjudication Layer XTruth's goal is to become the result adjudication layer connecting onchain markets with real-world events across the X Layer ecosystem. Starting with World Cup prediction markets, XTruth will continue to validate its open result submission, community challenge, and onchain settlement mechanisms. As more integrations come online, an expanding range of clearly defined, verifiable real-world events will be able to be asserted, verified, and settled on X Layer. XTruth 接入 OKX Onchain Outcomes，为世界杯竞猜市场提供链上结果裁定 XTruth 现已接入 OKX Onchain Outcomes，为其世界杯竞猜市场提供结果提交、争议处理与链上结算支持。OKX Onchain Outcomes 是本届 OKX 世界杯官方竞猜活动的基础设施。首批市场覆盖总冠军、金靴等六类主题，以及贯穿整届赛事的 104 场单场比赛。 XTruth：将现实结果可信地写入链上 XTruth 是部署于 X Layer 的开放式乐观预言机，专注于解决一个问题：如何将定义清晰、结果可验证的现实世界事件可信地提交并结算到链上。 每一个预测市场都需要明确的最终结果。在 XTruth 的运行机制中，proposer 根据预设规则提交事件结果，其他参与者可以在争议期内核验提案，并对错误结果发起挑战。如果提案在争议期内未被成功挑战，该结果将进入最终结算；如果发生争议，则按照协议设定的裁定流程处理。相关提案、挑战和结算记录均在链上留痕，可供公开核验。 XTruth 同时通过经济激励鼓励社区参与结果裁定。正确提交结果的 proposer 可以获得裁决奖励；成功挑战错误提案的 disputer 可以按照协议规则获得相应奖励。 第一轮社区 proposer 招募现已完成，首批参与者已经开始在世界杯相关市场中提交和核验比赛结果，并从中赚取okb奖励。 为高时效市场缩短结算周期 传统乐观预言机通常设置较长的争议期。当提案进入争议流程后，市场还可能需要等待额外的投票或裁定时间。 对体育赛事而言，结果通常在比赛结束后迅速明确，用户也希望市场能够尽快完成结算。针对这类结果明确、时效性要求较高的场景，XTruth 支持配置分钟级争议期，以缩短从结果提交到最终结算的等待时间。 更短的争议期并不意味着取消核验环节。proposer 仍需按照市场预先确定的规则和数据来源提交结果，disputer 也可以在规定时间内对错误提案发起挑战。 XTruth 希望在结算效率与结果可信度之间建立适合高时效市场的平衡。 从体育赛事走向更多现实场景 体育并不是 XTruth 唯一面向的应用方向。 在结果定义清晰、数据来源明确且具备可验证结论的前提下，同一套机制还可以用于宏观事件、链上指标和娱乐数据等场景。例如，某次议息会议公布的目标利率是否下调、某条链在指定时间点的 TVL 是否超过预设数值，或某部影片按指定数据源统计的首周末票房是否达到目标，都可以被定义为需要链上裁定的事件。 这些市场需要在创建时明确观察对象、数据来源、统计口径和截止时间。XTruth 则负责支持结果提交、争议处理与最终结算。 Exchange OS 是面向 X Layer 生态的开放协议。对于需要现实结果裁定的预测市场和 dApp，XTruth 计划提供标准化的预言机接入能力。 Airdrop Season 1 已开启 XTruth Season 1 现已启动，本季设置总计 500 万枚 XTR 的生态激励额度，用于回馈对生态作出有效贡献的参与者。 用户完成基础任务并获得参与资格后，可以通过三类方式参与：参加 Hook x World Cup Hackathon 并构建 V4 Hook；在 BillionLive 世界杯赛季中完成指定任务；或在 Eulr 上部署和交易代币。 具体任务要求、贡献计算方式及奖励分配规则请查看： 成为 X Layer 的现实结果裁定层 XTruth 的目标，是成为 X Layer 生态连接链上市场与现实事件的结果裁定层。 从世界杯竞猜开始，XTruth 将继续验证开放式结果提交、社区挑战和链上结算机制。随着接入场景增加，更多定义清晰、结果可验证的现实事件，将能够在 X Layer 上被断言、被核验并完成结算。 #Xtruth# #OKX# #Xlayer#

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The #Bitcoin# narrative has reached a turning point: It’s no longer just about expecting an uninterrupted super-cycle to new all-time highs—it’s about navigating severe macroeconomic capital rotations and sticky inflation regimes. The latest KuCoin blog covers: How a confluence of hot 4.2% May CPI data, cooling geopolitical premiums, and Wall Street capital rotation into the historic SpaceX IPO dragged BTC back to the $60,000 support level. Why on-chain data shows long-term whales aggressively accumulating while short-term holders panic-sell their positions. The transition from high-leverage speculation to disciplined dollar-cost averaging (DCA) as the ultimate strategy for the rest of 2026. Knowledge is your best asset. Read the full analysis:

EXPLAINED: 📊 Bitcoin’s price has slid more than 30% since the start of the year amid ETF outflows, miners selling coins, macroeconomic pressures, and a recent hawkish Fed pivot. How low can Bitcoin go in 2026? Read on to learn more👇

I explained the Chinese real estate & debt crisis in much detail in 2024 on my Substack. Nothing has changed since. China is in what we call "the largest balance-sheet recession the world has ever seen". And it will take years to get out of it and assuming the CCP's investment-led growth model does not dig the next hole in the meantime - a likely. The FT published added some colour to it two days ago: "Housing is important to every economy. But to China, it’s extra important. According to the PBoC, 96% of urban households own a home, and 41% own at least two. The average household owns 1.5 properties. And as such, property constitutes around 70% of China’s private wealth. The comparable figure for the US is around 30%. So when Chinese property prices fall, the authors make a pretty compelling case that this has all sorts of particularly bad economic spillovers. And fall they have. The negative wealth effect is substantial, and “effects are amplified by elevated household debt, much of which consists of mortgage obligations”. This — and the weaker income expectations that the falls generate — goes some way to suppressing consumption. Moreover, declining land-sale revenues constrain local government budgets, “limiting their capacity to finance developmental projects and maintain existing public infrastructure”. And this is even before any credit impacts from rising non-performing loans and mortgages on bank balance sheets are considered. Tl;dr: bad bad bad. Of course, China isn’t the first soon-to-be-global-economic-hegemon-East-Asian-power staring down demographic oblivion to have piled its savings into a property boom. Back in 1991, the world was fretting over the rise and rise of Japan. And the Japanese were buying Japanese residential real estate at outlandish prices. Japan’s house prices peaked back in 1991 and spent the next 30 years on a downward trajectory. We’re only a few years into the Chinese property bust, and its ultimate trajectory is both unknown and unknowable. But Rogoff and Yang have pulled together some cool data they kindly shared with Alphaville, allowing us to make this chart below. So far, it looks like prices in Chinese cities are falling at around the same pace as they did over the first five-to-10 years of Japan’s bust. Japan’s property crash is associated with a lost decade (or two) of economic growth. In the 10 years leading up to 1991, Japanese real annual GDP growth averaged 4.4%. In the subsequent 10 years it averaged only 0.9% per annum. The same numbers for China, with 2021 marking its property zenith, are 7.0% per year and 4.6% per year (so far). If the IMF’s forecasts turn out right, this latter number will fall to around 4.0% per annum. While the levels are different, the before-and-after drop looks comparable. Was it housing wot dun it? Rogoff and Yang reckon that a 40% decline in house prices translates into a total consumption loss of 2-4% of GDP. Not nothing, but not a single answer explaining life, the universe and wiggles in the decadal pace of real economic growth. To get here, they construct a historical dataset comprising subnational data across 47 prefectures, and input and output data at granular industry levels. They then use this to examine the macroeconomic implications of Japan’s real estate bust. And the authors argue that: a housing bust can generate substantial adverse effects on the economy via real channels. . . . overbuilding during the boom can trigger a demand-driven recession with limited reallocation and low output. Unlike financial channels, which amplify shocks through leverage, bank balance sheets, credit constraints, or fire sales, real channels operate directly through investment, consumption, labour markets, or productivity. In Japan’s case, the housing market collapse depressed activity through three key real channels: investment, consumption, and sentiment. This is all pretty intuitive. But using city-level and household-level Chinese data plus some whizzy maths, they put meat on the bone for these three channels. They find that Chinese cities that overbuilt housing the most are less keen on new building, suppressing investment. Sounds legit. Chinese household consumption is estimated to be more responsive to house price changes than it was in either Japan or the US given its outsized role in private wealth. And it looks to the authors like people have scrambled to rebuild precautionary savings they thought they had amassed in property. Understandable. Then, on the sentiment side, Rogoff and Yang use an LLM to gauge market perceptions of the housing market. And by incorporating city-specific perceptions, they double the estimated effect of house price changes on consumption. Huh. While China is not Japan, 1991 was not 2021, and a *lot* of other things are/were going on, it’s interesting to see that the overall magnitude and pace of property price falls — as well as the aggregate drop in the pace of headline GDP growth — has (so far) been spookily similar. And as for the big question — are we there yet? "If China’s adjustment unfolds in a similar way as Japan’s, it would mean China has not gone half way through the transition. By contrast, if China’s path is eventually comparable to the United States, it appears to have already covered roughly two-thirds of the adjustment before reaching the bottom." So more to come.

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