Expert Opinion: Stablecoins Struggle to Become Mainstream in the Currency Market

**Stable Launches STABLE Tokenomics Framework** On December 3, Stable rolled out its STABLE tokenomics, featuring a fixed total supply of 100 billion tokens—**no gas fees apply**. Token allocation breakdown: - **Genesis Distribution (10%)**: Earmarked for early liquidity support, community activation, ecosystem events, and strategic launch distribution. - **Ecosystem & Community (40%)**: Allocated to developer grants, liquidity programs, partnerships, community initiatives, and ecosystem growth. - **Team (25%)**: Reserved for the founding team, engineers, researchers, and key contributors. - **Investors & Advisors (25%)**: Set aside for strategic investors and advisors supporting network development, infrastructure, and promotion. ### Notes on U.S. language habits: 1. **Date format**: Uses "December 3" (omits "3rd" for brevity, standard in U.S. media/quick updates). 2. **Conciseness**: Replaced redundant phrases (e.g., "the total supply is fixed" → "fixed total supp

December 3 – According to News1, as South Korea’s government and National Assembly draft the second phase of digital asset (virtual asset) legislation, a key direction is limiting stablecoin issuers to consortia of banks holding a 51% stake. The solution currently under discussion would award stablecoin issuance rights to such bank consortia, and the Democratic Party’s Digital Asset Special Task Force (TF) also leans toward this approach. Previously, Korean banks pushed for bank-led stablecoin issuance restricted to the banking system, while some National Assembly members argued the space should be open to fintech and blockchain firms. The government’s draft bill must be submitted by no later than December 10, with the goal of launching formal discussions by the end of this year and finalizing the legislation by January next year.

On December 3rd, HyperInsight’s monitoring data shows that "Mahjong" trimmed its ETH long positions in small increments and added to its HYPE long positions this morning. As of press time, its 25x ETH long position totals 8,288.888 coins, while its 10x HYPE long position stands at 10,000 coins. The overall unrealized gain on its long positions in this round has reached $920,000.

On December 3rd, prediction market platform Kalshi announced it has become CNN’s official prediction market partner. Its real-time probability data will be integrated into CNN’s news coverage, led by the network’s Chief Data Analyst Harry Enten. CNN will receive Kalshi’s real-time data on the likelihood of future events in politics, culture, and beyond, and will add real-time info bars powered by Kalshi’s data in relevant sections. Kalshi noted its platform has become a go-to tool for politicians, media outlets, and financial market watchers to anticipate future events. Previously, rival Polymarket told CBS’s *60 Minutes* that prediction markets are “the most accurate prediction tool currently available to humanity.” Combined trading volume for the two platforms has topped $45 billion, with partners including Google Finance, Yahoo Finance, Robinhood, and ICE. Despite growing mainstream adoption, the prediction market industry still faces regulatory scrutiny. Kalshi recently joine

December 3rd: Per LookOnChain monitoring, the suspected Bitmine has just acquired an additional 18,345 ETH over the past four hours—valued at $54.94 million.

On December 3rd, analyst @ali_charts pulled data from Glassnode, noting two key Bitcoin resistance levels to watch—derived from the price range tied to its Market Value to Realized Value Ratio (MVRV): ? $99,070 ? $122,060 ### Notes on American English adjustments: 1. Added **"On"** before the date (standard for specific dates in U.S. usage). 2. Replaced "cited glassnode data" with "pulled data from Glassnode" (more conversational, common in financial updates; capitalized **Glassnode** as a proper noun). 3. Swapped "to indicate that" for "noting that" (concise, typical of quick news blurbs). 4. Restructured to lead with "two key Bitcoin resistance levels" (prioritizes the actionable info, U.S. readers prefer directness). 5. Used em dashes for clarity (links the resistance levels to their MVRV context smoothly). 6. Removed the trailing semicolon on the last bullet (cleaner, standard in U.S. list formatting).