火星财经消息，据官方消息，Astar 网络提出重大代币经济模型改革，计划将 ASTR 从动态通胀模式转变为固定供应上限模式。该提案设定最大供应量约为 105 亿 ASTR，引入指数衰减公式逐步减少代币发行，并将在 2026 年 9 月完全实施。

<div>火星财经消息，据官方消息，Astar 网络提出重大代币经济模型改革，计划将 ASTR 从动态通胀模式转变为固定供应上限模式。该提案设定最大供应量约为 105 亿 ASTR，引入指数衰减公式逐步减少代币发行，并将在 2026 年 9 月完全实施。</div>

Astar 提出 ASTR 代币经济模型转向固定供应上限

According to official sources from Mars Finance, <Astar> Network has proposed a significant token economic model reform, planning to transform <ASTR> from a dynamic inflation mode to a fixed supply cap mode. The proposal sets a maximum supply of approximately 10.5 billion <ASTR>, introduces an exponential decay formula to gradually reduce token issuance, and will be fully implemented in September 2026.

<div>Mars Finance News, according to official sources, Astar Network proposed a significant token economic model reform, planning to transform ASTR from a dynamic inflation model to a fixed supply cap model. The proposal sets the maximum supply at approximately 10.5 billion ASTR, introduces an exponential decay formula to gradually reduce token issuance, and will be fully implemented in September 2026.</div>

Astar proposes ASTR token economic model to shift to fixed supply cap

The macroeconomic environment we are familiar with is changing.

Luke Gromen: Why I Sold Most of My Bitcoin at the End of 2025

According to ME News, on December 28th (UTC+8), Coinbob's hot address monitoring showed that the "alt short seller" transferred $2 million to Hyperliquid yesterday and then established a short position in ZEC around $446. The current position size is approximately $1.32 million, with an average price of $479, and the address is still adding to its position as of press time. This address had already liquidated its positions in MON, ZEC, and Trump before Christmas this week, and significantly closed out its short positions in ASTER, UNI, PUMP, and other cryptocurrencies...

The "fake short seller" returned to the short after the holiday to add to short positions, profiting from previously closed short positions in UNI, ZEC, etc. at low points.