Avalon Labs Burns $1.88M in AVL Tokens, Price Jumps 11%

TheCryptoTimesPubblicato 2025-09-10Pubblicato ultima volta 2025-09-10

Avalon Labs, a Bitcoin-focused on-chain capital market, has carried out a $1.88 million buyback and burn of AVL tokens. Following this move, the AVL token surged by nearly 11% as the development drew strong interest from the crypto community.

The program started in June 2025, when Avalon Labs deposited 1.88 million USDT into Bybit. The company repurchased 13.95 million AVL tokens at an average of $0.1347 per coin, and burned permanently.

BscScan record indicates that Avalon Labs carried out a successful burn of these AVL tokens, transferring them to the dead wallet as one single transaction on September 10.

This is a unique initiative as it was fully supported by Avalon’s monthly protocol revenue. By lowering the token supply, the firm is aiming to create greater value for its holders. At the same time, it seeks to align platform development with the interests of the community.

Since June 2025, Avalon Labs has burned a total of 93.95 million AVL tokens, which is roughly 37% of the total circulating supply. Importantly, on June 9, the firm burned more than 80 million AVL tokens, among them a significant chunk of unclaimed airdropped tokens.

The team says, “We remain committed to advancing our mission of building the leading on-chain capital market for Bitcoin, and will continue to explore sustainable mechanisms to strengthen the Avalon ecosystem.”

Following the announcement, the AVL token rose nearly 11% in the past 24 hours to around $0.1479, with its market capitalization climbing to about $23.9 million, according to CoinMarketCap.

Also Read: World Liberty Burns 47M WLFI Tokens After Historic Launch


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Trump's Crypto Empire: A $2.3 Billion Wealth Transfer Experiment

In June 2026, Reuters investigations revealed that since Donald Trump's return to the White House, his family has accumulated roughly $2.3 billion in profits from four core crypto ventures: World Liberty Financial (WLFI), the $TRUMP meme coin, American Bitcoin, and ALT5 Sigma (later renamed AI Financial). Coincidentally, overall investor losses in these projects were estimated to be a similar amount. The businesses, spanning DeFi, stablecoins, meme coins, Bitcoin mining, and digital payments, largely relied not on technological innovation but on converting the political influence and notoriety of the Trump brand into financial assets sold to the market. This marks a dramatic shift from Trump's earlier skepticism of cryptocurrencies. The ventures operated on a similar logic: leveraging the Trump name to generate market hype and trust, attracting investment through token sales or public listings, and enabling the family to capture profits upfront through equity, token allocations, and fees, while later entrants often bore the brunt of the risk as markets cooled. WLFI, the most profitable venture, generated an estimated $1.6 billion for the family, primarily through sales of its locked, illiquid governance token and its USD1 stablecoin. The $TRUMP meme coin, a direct monetization of the presidential IP, brought in over $600 million for Trump-linked entities before its price crashed nearly 97% from its peak. American Bitcoin gained a "Trump stock" premium for its mining operations, and ALT5 Sigma/AI Financial combined Trump, AI, and crypto themes for a temporary valuation surge. The episode underscores how political influence can be packaged into financial assets, creating substantial wealth for promoters while highlighting the risks for investors who base decisions on hype and brand allegiance over fundamental business models and cash flows.

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CFTC Proposes New Rules for Prediction Markets, Redefining Which Events Can Be Listed and Who Can Participate

The U.S. Commodity Futures Trading Commission (CFTC) has proposed new rules to establish a clearer regulatory framework for prediction markets. The proposal aims to modify how "event contracts" are reviewed, creating a structured process to determine if contracts involving terrorism, assassination, war, or illegal activities violate the public interest. This moves away from a blanket ban toward a case-by-case assessment of whether a contract's subject matter is acceptable for financial trading. A key focus is distinguishing between predicting the impact of risks and predicting the occurrence of harm. The proposal suggests that many sports-based prediction markets—such as those on game outcomes, scores, or season standings—may be permissible as they can provide price discovery and meaningful information. However, markets on easily manipulated events like specific player injuries, referee calls, or outcomes of youth sports would face stricter scrutiny. The rules directly target insider trading and manipulation risks, highlighting cases where individuals with non-public information or the ability to influence an event's outcome could unfairly profit. This underscores a shift toward ensuring market fairness. The proposal does not end the regulatory debate, particularly with state gambling regulators who argue that sports prediction markets are essentially sports betting and should fall under state jurisdiction. Nonetheless, the CFTC's action signals a move toward formalizing prediction markets, pushing the industry from a phase of rapid, often unregulated expansion into a more institutionalized, rule-based environment that more closely resembles traditional financial markets.

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CFTC Proposes New Rules for Prediction Markets, Redefining Which Events Can Be Listed and Who Can Participate

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The U.S. Commodity Futures Trading Commission (CFTC) has proposed new rules to establish a regulatory framework for prediction markets, aiming to define which event contracts can be traded and who can participate. The 267-page proposal seeks to amend regulations to create a structured review process for "event contracts." The core goal is to determine whether contracts involving sensitive topics like terrorism, assassination, war, or illegal activities are contrary to the "public interest." The CFTC's approach is not an outright ban but a case-by-case assessment, focusing on whether a contract predicts harmful acts themselves or merely their commercial or risk-related impacts. The proposal suggests that most mainstream sports prediction markets—based on final scores, winners, or season outcomes—may be permissible as they provide price discovery and informational value. However, markets on easily manipulated granular events (e.g., player injuries, specific referee calls) or those encouraging harm/cheating would face stricter scrutiny. A primary regulatory target is insider trading and market manipulation, where individuals with non-public knowledge or influence over an event's outcome could unfairly profit. Recent alleged incidents involving military personnel, former politicians, and corporate insiders highlight this risk. The move clarifies federal oversight but does not end the debate. State regulators and gambling associations argue that many prediction markets, especially on sports, constitute gambling and should fall under state, not federal, jurisdiction. This sets up a potential conflict over regulatory authority. Overall, the CFTC's proposal signals a shift for prediction markets from rapid, less-regulated expansion toward a more institutionalized, rules-based model resembling traditional financial markets. Growth will increasingly depend on demonstrating market fairness, transparent settlement, and controlled risks.

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