Political tokens played key role in memecoin boom and bust: CoinGecko

cointelegraphPubblicato 2025-12-16Pubblicato ultima volta 2025-12-16

Introduzione

Political narratives significantly influenced the memecoin market's dramatic rise and fall in 2024, according to a CoinGecko report. The total memecoin market capitalization reached a record $150.6 billion in December 2024, driven by U.S. election speculation, new token launches, and activity on Solana. However, this political momentum also accelerated the sector's collapse. The launch of official tokens linked to Donald Trump (TRUMP) and Javier Milei (LIBRA) marked a turning point, with TRUMP's value plummeting from $73 to around $5 and LIBRA facing insider dumping investigations. By November 2025, the memecoin market cap had crashed 73% to below $40 billion. NFTs also saw a significant downturn. Despite the decline, some industry figures believe memecoins will evolve into new forms focused on sustained contribution rather than mere speculation.

Political narratives helped push memecoins to record highs before accelerating a sharp reversal, according to crypto price tracker CoinGecko.

In its 2025 State of Memecoins Report, CoinGecko highlighted how election-driven speculation has reshaped the memecoin sector. The report found that the total memecoin market cap peaked at $150.6 billion in December 2024, surpassing the sector’s previous highs in 2021.

CoinGecko attributed the rally to a mix of new token launchpads, Solana experimentation and growing political narratives linked to the United States elections.

The data aggregator noted that enthusiasm surrounding President Donald Trump’s reelection coincided with the sector’s peak, as election-themed tokens dominated social media and crypto exchanges.

Total memecoin market cap and trading volume. Source: CoinGecko

Political tokens fueled the memecoin collapse

The report said that the same political momentum that fueled the memecoin rally to $150 billion later contributed to the sector’s decline.

The launches of Trump’s official memecoin, TRUMP, and Argentine President Javier Milei-linked LIBRA marked a turning point for memecoins, with investor confidence declining after the launches.

The TRUMP token attracted criticism after it spiraled downward, following a pump to an all-time high of $73. At the time of writing, the token is trading at approximately $5.

On the other hand, the Milei-linked LIBRA token triggered investigations as insiders cashed out over $107 million in liquidity shortly after its launch.

CoinGecko's report suggested that memecoins are evolving into high-volatility instruments that reflect cultural and political sentiment.

While these narratives can spur rapid growth, the report highlighted how quickly enthusiasm can unwind.

Related: Bubblemaps challenges PEPE’s fair launch, alleges 30% of genesis supply bundled

Crypto’s most speculative sectors see downturn

By November 2025, the overall memecoin market cap had sunk below $40 billion, representing a 73% decline from its peak of $ 150 billion. At the time of writing, CoinMarketCap data showed that the memecoin market cap is at $38 billion, its lowest point in 2025.

Apart from memecoins, non-fungible tokens (NFTs) had also struggled in November. According to CryptoSlam, NFT sales volumes fell to $320 million during the month, its lowest this year.

While the memecoin narrative may have faded, Keith Grossman, the president of payment company MoonPay, remains optimistic that memecoins will return in a different form.

“The next version will not look like today’s memecoins,” Grossman wrote. “It may not even be called a memecoin. It will reward sustained contribution, coordination and cultural signal; not just speed and spectacle.”

Magazine: Koreans ‘pump’ alts after Upbit hack, China BTC mining surge: Asia Express

Letture associate

Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

OpenAI has announced a major internal reorganization just months before its anticipated IPO. The company is merging its three flagship product lines—ChatGPT, Codex, and the API platform—into a single, unified product organization. The most significant leadership change involves co-founder and President Greg Brockman moving from a background technical role to take full, permanent control over all product strategy. This follows the indefinite medical leave of AGI Deployment CEO Fidji Simo. Additionally, ChatGPT's longtime lead, Nick Turley, has been reassigned to enterprise products, with former Instagram executive Ashley Alexander taking over consumer offerings. The consolidation, internally framed as a strategic move towards an "Agentic Future," aims to break down internal silos and create a cohesive "Super App." This planned desktop application would integrate ChatGPT's conversational abilities, Codex's coding power, and a rumored internal web browser named "Atlas" to autonomously perform complex user tasks. The reorganization occurs amid significant internal and external pressures. OpenAI has recently seen a wave of high-profile departures, including Sora co-lead Bill Peebles and other senior technical leaders, leading to concerns about a thinning executive bench. Externally, rival Anthropic recently secured funding at a staggering $900 billion valuation, surpassing OpenAI's own. Google's upcoming I/O developer conference also poses a competitive threat. Analysts suggest the dramatic restructure is a pre-IPO move to present a clearer, more focused narrative to Wall Street—streamlining operations and demonstrating decisive leadership under Brockman to counter internal turbulence and intense market competition.

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Breaking: OpenAI Undergoes Major Reorganization, President Brockman Assumes Command

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Two Survival Structures of Market Makers and Arbitrageurs

Market makers and arbitrageurs represent two distinct survival structures in high-frequency trading. Market makers primarily use limit orders (makers) to profit from the bid-ask spread, enjoying high capital efficiency (nominally 100%) but bearing inventory risk. This "inventory risk" arises from passive, fragmented, and discontinuous order fills in the limit order book (LOB). This risk, while a potential cost, can also contribute to excess profit if managed within control boundaries, allowing for mean reversion. Market makers essentially sell "time" (uncertainty over execution timing) to the market for price control and low fees. In contrast, cross-exchange arbitrageurs typically use market orders (takers) to exploit price differences or funding rates, resulting in lower nominal capital efficiency (requiring capital on both exchanges) and higher transaction costs. Their risk exposure stems from asymmetries in exchange rules (e.g., minimum order sizes), execution latency, and infrastructure risks (e.g., ADL, oracle drift). These exposures are active, exogenous gaps that primarily erode profits rather than contribute to them. Arbitrageurs essentially sell "space" (capital sunk across venues) for localized, immediate certainty. Both strategies engage in a trade-off between execution friction and residual risk. Optimal systems allow for temporary, controlled risk exposure rather than enforcing zero exposure at all costs. Their evolution converges towards hybrid models: arbitrageurs may use maker orders to reduce costs, while market makers may use taker orders or hedges for risk management. Ultimately, both use different forms of risk exposure—market makers exposing inventory, arbitrageurs immobilizing capital—to extract marginal, hard-won certainty from the market.

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Two Survival Structures of Market Makers and Arbitrageurs

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Who Will Define the Rules of the AI Era? Anthropic Discusses the 2028 US-China AI Landscape

This article, based on Anthropic's analysis, outlines the intensifying systemic competition between the U.S./allies and China for AI leadership by 2028. It argues that access to advanced computing power ("compute") is the critical bottleneck, where the U.S. currently holds a significant advantage through chip export controls and allied innovation. However, China's AI labs remain competitive by exploiting policy loopholes—via chip smuggling, overseas data center access, and "model distillation" attacks to copy U.S. model capabilities—keeping them close to the frontier. The piece presents two contrasting scenarios for 2028. In the first, decisive U.S. action to tighten compute controls and curb distillation locks in a 12-24 month AI capability lead, cementing democratic influence over global AI norms, security, and economic infrastructure. In the second, policy inaction allows China to achieve near-parity through continued access to U.S. technology, enabling Beijing to promote its AI stack globally and integrate advanced AI into its military and governance systems, altering the strategic balance. Anthropic contends that maintaining a decisive U.S. lead is essential for shaping safe AI development and governance. The core recommendation is for U.S. policymakers to urgently close compute and model access loopholes while promoting global adoption of the U.S. AI technology stack to secure a lasting strategic advantage.

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Who Will Define the Rules of the AI Era? Anthropic Discusses the 2028 US-China AI Landscape

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