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蓝狐
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蓝狐笔记,通往web3的世界。 (1.仅记录想法,没有客观只有主观,不能作为投资建议 ;2.蓝狐笔记只有此号,没有任何telegram或discord等群,没有其他分号,不会要求任何人参与投资,也不会发表跟区块链无关内容 ;3.不会发布链接,不要点击,谨防受骗。)
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蓝狐
Augur was one of the earliest prediction markets in the crypto space two cycles ago, and Joey is its co-founder. In this respect, he should be one of the people most deeply aware of the changes in prediction markets. Let's see how he views these changes: In a recent interview, he shared his experiences with the successes and failures of prediction markets: He believes that Augur faced three major problems in its early stages: low liquidity, poor user experience, and regulatory uncertainty. Ultimately, this led to a mismatch between the product and the market. He also believes that Augur demonstrated the potential of crypto-native innovation, but it also exposed the gap between concept and practical application: 10 years ago, the focus was on "innovation theater," but now it needs to focus on real needs. He believes the lessons to be learned are that prediction markets need to solve the "oracle problem" (real-world data input) and user barriers, rather than relying solely on the concept of decentralization; furthermore, founders should avoid "premature decentralization," building a centralized prototype market first to test it before going live on-chain. Joey believes that the main reason for Polyamarket's breakthrough is its real-time event predictions (such as elections and sports) and high-liquidity design, which have attracted non-crypto users. For example, it aggregates information more accurately than traditional polls, and the surge in trading volume during the 2024 US election proves its value as an "information market." Regarding whether prediction markets are merely gambling, his view is that they are no longer just niche gambling, but rather risk hedging tools. For example, businesses can use them for supply chain forecasting, transcending the stereotype of "just gambling." This marks a shift in crypto from speculation to practicality. Similar to the stock market, prediction markets involve speculation, but at their core is information discovery. Joey believes that if regulators view them as pure gambling, they will miss out on economic benefits. In the future, the US may require prediction markets to comply with KYC/AML, restricting anonymous transactions; the EU and Asian policies are more favorable, but the US dominates global standards. Regulation is a double-edged sword; on the one hand, clarity will attract institutions, but excessive regulation (such as banning betting on certain types of events) will stifle innovation. He suggests that prediction market projects proactively cooperate with regulators to avoid an "adversarial model."
蓝狐
@lanhubiji
12-07
加密预测市场的演化非常有意思,因为它曾经就被列入“被证伪” 的赛道中,它用了十年时间才实现PMF(产品与市场的契合),其中的演化超出市场的意料。有时候,在加密领域,太早下结论不一定合适。
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蓝狐
After paying attention to prediction markets, I've increasingly noticed their similarities to binary options. While not exactly the same, from a certain perspective, prediction markets can be seen as an extension of binary options. Prediction markets, such as Polymarket, Kalshi, and Opinion, all use yes/no binary contracts. The price reflects the market's consensus on the probability of an event occurring. For example, predicting whether "BTC will break $100,000 in January 2025," the price fluctuates between 0 and 1. The real-time price reflects the market's consensus on the probability of the event occurring; if the price is 0.7, it means that people in the market believe there is a 70% probability that it will happen. At expiration, settlement is based on the outcome: if it occurs, it's worth 1; if it doesn't, it's worth 0. Doesn't this seem very similar to binary options? The core of binary options is also based on "yes/no" or "occurs/doesn't occur" predictions. For example, a binary option contract might stipulate that if Tesla stock prices are higher than a certain level on expiration date, a fixed amount (such as $1) will be paid; otherwise, $0 will be paid. This is essentially pricing the probability of an event. In other words, it is essentially a form of predicting future events. Some financial players use binary options as a tool to predict financial events in practice. Simply put, both use market prices to estimate the probability of future events (a contract price of 0.6 means the market believes the event has a 60% probability), both aggregate the wisdom of many market participants, and both allow participants to speculate (bet on the outcome of the event) or use it as a risk hedge. Binary options are like a financialized version of prediction markets. However, there are some differences. Prediction markets have a broader scope, including any verifiable event, such as weather/movie box office figures—non-financial events—and the event span is more flexible. Binary options primarily focus on predicting the price of financial assets, such as forex/stocks/commodities, and typically have shorter expiration times (minutes/days). In terms of market liquidity and depth, binary options are more speculative and gambling-like, with liquidity depending on the broker; prediction markets emphasize the accuracy of event predictions, even outperforming polls (after all, participating with real money is different), and the incentive mechanism encourages the input of accurate information. Finally, regarding regulation and legality, binary options are considered high-risk financial products in some countries (such as parts of the EU) and are subject to strict regulation, with some areas even prohibiting participation (due to their gambling-like nature). In the United States, however, trading requires an exchange regulated by the CFTC (Commodity Futures Trading Commission). Currently, the cryptocurrency prediction market is still in its early stages, and its regulation is not yet clear. It may be gradually brought under regulation due to "manipulation incidents" or other factors. These differences may lead the prediction market down different paths and result in different future regulatory approaches.
BTC
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蓝狐
SWIFT is using Ethereum's L2 Linea technology to create a cryptographic ledger and is currently conducting prototype testing with over 30 banks in partnership. This supports real-time payments, messaging, and stablecoin settlements. If the testing goes smoothly, it means more institutions will join in. SWIFT connects over 11,500 financial institutions globally, processing approximately $150 trillion in transactions annually. If it implements its ledger on Ethereum L2, it will be significant for Ethereum. First, it signifies financial institutions' acceptance of the Ethereum technology stack, facilitating Ethereum's role as a neutral settlement layer, bridging traditional and crypto finance. Second, the real-time cross-border payments and tokenized asset settlements processed by SWIFT's ledger ultimately rely on Ethereum's security. If a portion of SWIFT's transaction volume (trillions of dollars daily) is moved on-chain, it will drive Ethereum to support a larger scale of stablecoins and tokenized assets, increasing daily active users, transaction volume, and gas fee consumption within the Ethereum ecosystem. For Ethereum (ETH), a larger scale of assets on-chain places higher demands on its security and increases staking requirements. Simultaneously, the significant increase in transactions will also benefit ETH consumption, enhancing its value. The scale of assets that Ethereum can support in the next decade will be beyond imagination.
Swift
@swiftcommunity
12-19
We’re already making progress with our plans to add a blockchain-based ledger to our infrastructure, working with a global group of 30+ banks globally to shape the ledger’s design.  “In order to unlock that benefit of scale, we need to work together,” said Thierry Chilosi, our
ETH
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