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In late August, the U.S. government announced that it would synchronize key economic data such as GDP on the chain in the future, and the first nine public chains selected included Bitcoin, Ethereum, Solana, TRON, etc. A national experiment on institutions, trust and future narratives has officially begun. In this action, known as the "Crypto President's Experimental Field" in the industry, TRON is particularly eye-catching as one of the first public chains to be included. Its high throughput, low fee network characteristics, and long-term ecological accumulation in key tracks such as cross-border payment, stablecoin circulation and DeFi, and oracles make it a highly competitive infrastructure in government data on-chain scenarios. And this is not only about technical implementation, but also a deep switch in the narrative of the crypto world. Will the U.S. government's move trigger structural changes in global capital flows? How can public chains such as TRON seize the opportunity of ecological bursting at such a historical juncture? In this issue, Space attempts to interpret this "policy-industry" interaction that will be written into the history of encryption from the aspects of trend analysis, industry impact, application activation, and market expectations, and explore the true value behind the government data chain and the ecological opportunities of TRON.    The US government data is on the chain, and TRON seizes the opportunity with DeFi and oracle ecology In response to the core issue of "whether the U.S. government data on the chain is a trust transfer or a political show", Coin Information bluntly said: "It doesn't matter whether it is a political show or not, the key is that it marks the institutionalized acceptance of the blockchain industry by the policy." He believes that although the authenticity of off-chain data still relies on traditional authorities, "official endorsement signals cannot be underestimated, and every policy guidance will directly affect market fluctuations and even double the market." Ah Shui said: "The U.S. government uses national credit to make the ultimate endorsement of blockchain credibility. This will guide funds from chasing meme hot money to pursuing long-term value. He further pointed out that the selected public chain ecosystem such as TRON may become a channel for trillions of traditional funds to enter the crypto world, which is a sign that the industry is moving from adolescence to maturity. And when the discussion turned to "which crypto applications will be activated first", the prediction market became the consensus of several guests. Fang Yuan pointed out: "The prediction market is like an information exchange, but in the past, the data was often questioned for its authenticity. The government-endorsed on-chain data will completely complete this logic. ” To transform trusted data off-chain into usable value on-chain, reliable middleware bridges are inseparable. As a decentralized oracle network, WINkLink in the TRON ecosystem can take on this important task, providing secure and reliable real-world data transmission for on-chain smart contracts. At the same time, combined with the characteristics of high throughput, low fees and real-time settlement of the TRON public chain, it not only solves the pain point of "data source" in the prediction market, but also attracts more users to participate and completely activates the potential of the on-chain prediction market. Crazy_ Ah Crazy proposed a differentiated perspective, believing that DeFi will explode earlier than the prediction market, explaining that the prediction market is a field based on uncertain future events, and that the core of DeFi (lending, trading, derivatives) is the trillion-dollar underlying financial needs that exist in the blockchain world. The most direct value of on-chain official data is that it can be called in real time by smart contracts, thereby constructing "dynamic interest rates" and "trusted financial models". As an industry-leading lending market, JustLend DAO, a lending protocol on TRON, has a clear advantage in this trend, not only demonstrating the ability to handle large-scale on-chain funds and data, but also showing potential in improving capital efficiency. Recently, USD1, a compliant stablecoin endorsed by the Trump family, was officially launched on the JustLend DAO's lending market, which demonstrates the compliant layout of the TRON ecosystem and further enriches the TRON ecosystem's stablecoin asset matrix. According to the latest data, the total lock-up (TVL) of the JustLend DAO platform has strongly exceeded US$8.12 billion, with a deposit scale of US$5.09 billion and a total borrowing of US$175.07 million, reflecting its mature operational capabilities in the on-chain credit market and providing a realistic reference for the DeFi outbreak after government data is put on the chain. The nine major public chains have been included in the pilot, which ones can truly carry "data value"? When the U.S. government included the nine major public chains in the data chain pilot, a practical question emerged: which chains really have the ability to carry the value of institutionalized data? During the Space discussion, the guests agreed that different public chains will play completely different roles in this national experiment due to their technical characteristics and ecological positioning. Throughout the discussion, TRON's special status as one of the first selected public chains was repeatedly emphasized. Its high throughput, low fee network characteristics, and ecological accumulation in DeFi, stablecoins, cross-border payments and other fields are considered very suitable for undertaking the high-frequency synchronization and public verification needs required for government data on-chain. As the guest said: "When the cold narrative meets the government's endorsement, an ecosystem like TRON may become the biggest beneficiary. ” Fang Yuan pointed out straight to the point: "Not all chains can really carry the value of data, many of them are symbolic, but some can be implemented. He divided the nine major public chains into three categories: Bitcoin provides symbolic endorsement and security as a "virtual currency leader"; Ethereum and Solana have become the "main force of actual work" due to the maturity and high performance of smart contracts; Payment public chains like TRON are likely to be "given the highest priority" in international settlement and compliant payment scenarios due to their huge user ecosystem accumulated in stablecoins and cross-border payments. The old mage 0x analyzed the advantages and disadvantages of each chain from a sharper perspective, and he believed that TRON was the "most down-to-earth" option: "What do government applications value most? Not fancy, but ready to use right away. TRON has second-level confirmation, almost zero handling fees, and the world's largest stablecoin circulation scale, which make it the easiest to run through the payment scenario and be the first to receive dividends. ” For example, WINkLink, a decentralized oracle, can provide reliable data services for government data, and liquidity hub SUN.io and lending protocol JustLend DAO further promote the compliant and efficient circulation of various assets. Together, these core products constitute a complete closed loop of TRON from data sources, asset flow to capital efficiency, forming a strong synergy and unique advantages in carrying the entry of traditional institutional funds, making it an indispensable core pillar in the national digital transformation. Throughout the discussion, TRON was repeatedly emphasized as "the practical public chain that is most likely to run through in the short term". Its accumulation in high-frequency payments, stablecoin circulation, cross-border settlement and other fields, as well as its mature and active ecosystem, are considered to be highly in line with the requirements of "stability, efficiency, and ease of use" in the early stage of government data on-chain. As one guest said: "The nine major public chains will not be dominant, but chains like TRON are likely to become the first stop for institutionalized data implementation." ”