Unpacking the Bittensor (TAO) crash post-halving: What went wrong?
TAO's price sees a 5 to 6% correction in the last 24 hours, hovering around $250. Despite buyers' attempts to reverse the downtrend, selling pressure persists. Analysts make a bold comparison: purchasing TAO at this level is akin to buying Bitcoin under $300.
Translated on December 17, 2025 at 17:44 by Simon Dumoulin
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A Correction Testing Bittensor Investors’ Conviction
The Bittensor (TAO) market is currently undergoing a bearish consolidation phase that is testing the patience of holders. The cryptocurrency is down 5 to 6% over 24 hours, bringing its price back into the $250 range. This correction follows a period of significant gains since the beginning of the year, with the token remaining largely positive on an annual basis.
Trading volumes reflect sustained activity, a sign that investors have not abandoned ship. However, each rebound attempt runs into solid resistance that systematically pushes prices back down. Buyers are attempting to defend key support levels, but the technical structure remains clearly bearish oriented on the daily timeframe.
This period of weakness should not overshadow TAO’s remarkable performance since January. Despite the current pullback, the token maintains substantial year-to-date gains, which puts the ongoing correction into perspective. The central question remains: is this simply a profit-taking move or a deeper trend reversal.
The Comparison with Bitcoin at $300
Several analysts are not hesitating to draw a bold parallel between TAO’s current level and Bitcoin when it traded below $300. This comparison, while provocative, is based on analysis of the growth potential and future adoption of the Bittensor network. These observers believe that the risk-reward ratio at these price levels offers favorable asymmetry for investors with a long-term vision.
TAO’s current valuation would reflect, according to this thesis, a significant undervaluation of the decentralized machine learning protocol. The Bittensor network aims to create an artificial intelligence marketplace where models can be exchanged and monetized transparently. In a context where AI is becoming ubiquitous, this value proposition is attracting the attention of a growing community of developers and institutional investors.
However, any comparison with Bitcoin in its early years has important limitations. The macroeconomic context, the maturity of the crypto market, and sector competition differ radically. Investors must keep in mind that growth potential comes with increased volatility and technical risks specific to emerging projects.
Gaston has been a writer for over 7 years and a passionate cryptocurrency enthusiast since 2020. He loves exploring the crypto ecosystem and is now dedicated to sharing his insights and discoveries through InvestX.
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