Bittensor jumps 28% as Anthropic restrictions fuel TAO’s $300 test

ambcryptoОпубліковано о 2026-06-15Востаннє оновлено о 2026-06-15

Анотація

Bittensor (TAO) surged 28% weekly, recovering from key support near $180.9 as buyers gained momentum. The price broke through resistance and the 20-day SMA, reaching ~$267.4 with strong volume and improving technical indicators like RSI and MACD. The rally was fueled in part by news that Anthropic restricted access to some AI models for foreign nationals, highlighting a weakness in centralized AI and boosting demand for decentralized AI projects like Bittensor. Attention now turns to the $280-$300.6 resistance zone. Maintaining support above the $244.7-$255 range is crucial for the bullish structure; losing it could lead to a retracement toward $210-$220. The sustainability of the move depends on continued demand beyond the initial headline-driven boost.

Bittensor [TAO] gained 9% in the last 24 hours, extending its weekly gain to 28% as buyers continued rebuilding momentum. The recovery began near the key $180.9 support zone.

There, repeated selling attempts failed to generate fresh downside pressure.

As sellers lost control, buyers gradually absorbed available supply and stabilized price action. This transition was followed by a brief consolidation phase, which suggested accumulation rather than continued distribution.

Source: TAO/USDT on TradingView

Momentum then accelerated sharply, lifting TAO from roughly $215 to $267.4 within two sessions. In the process, price reclaimed the 20-day SMA at $220.70 and pushed through a resistance area that had limited advances for weeks.

Volume expanded aggressively during the breakout, producing its strongest positive reading in nearly two months.

Meanwhile, RSI climbed to 59.2 from below 40, while MACD continued strengthening. Attention now turns to the $280-$300.6 region, where buyers and sellers will likely contest the recovery’s strength.

Anthropic’s move fuels TAO demand

Bittensor’s rally did not emerge in isolation. Anthropic announced that access to Fable 5 and Mythos 5 would be suspended for foreign nationals following a U.S. government directive. The decision immediately highlighted a key weakness of centralized AI systems.

Source: X

Access could be restricted by regulation, regardless of demand. That narrative quickly spilled into crypto markets. As a result, traders rotated toward decentralized AI projects, helping TAO extend its advance toward the $272-$279 range.

Volume climbed above $560 million, reinforcing the strength of the move. This reaction suggests buyers were responding to more than technical momentum alone.

However, the durability of the rally now depends on whether demand continues after the headline impact fades.

Can bulls force a break above $300?

TAO’s sharp rebound has shifted attention toward whether buyers can maintain control above newly reclaimed levels. After rallying from the $182.5 liquidity sweep to $292.2, the price encountered resistance near a key May supply zone and began pulling back.

Source: TAO/USDT on TradingView

That reaction places the former $244.7-$255 consolidation range in focus. The area previously acted as resistance before the breakout and now serves as the market’s most important support zone.

Holding above it would preserve the recovery structure and keep $300 within reach. Losing it would expose TAO to a deeper retracement toward $210-$220 support.


Final Summary

  • Bittensor [TAO] reclaimed key resistance levels as rising volume and AI-driven demand strengthened the recovery structure.
  • TAO now faces a decisive $300 test, with support holding critical to preserving recent gains.

Трендові криптовалюти

Пов'язані питання

QWhat was the main catalyst for Bittensor's (TAO) recent 28% price rally, according to the article?

AThe main catalyst was an announcement from Anthropic restricting access to its AI models (Fable 5 and Mythos 5) for foreign nationals. This highlighted a weakness in centralized AI systems and drove demand towards decentralized AI projects like Bittensor, fueling TAO's price surge.

QFrom which key support level did TAO's recovery begin, and to what level did it initially rally?

ATAO's recovery began near the key $180.9 support zone. Momentum then accelerated sharply, lifting the price from roughly $215 to $267.4 within two trading sessions.

QWhat is the critical support zone that TAO must hold to maintain its recovery structure and keep the $300 price target in reach?

AThe critical support zone is the former consolidation range of $244.7 to $255. This area previously acted as resistance before the breakout and is now the most important support zone. Holding above it is necessary to preserve the recovery structure.

QHow did technical indicators like RSI and volume behave during TAO's price breakout?

ADuring the breakout, the Relative Strength Index (RSI) climbed from below 40 to 59.2, indicating strengthening momentum. Volume also expanded aggressively, producing its strongest positive reading in nearly two months, reinforcing the strength of the move.

QWhat factor does the article suggest will determine the durability of TAO's rally beyond the initial headline impact?

AThe durability of the rally depends on whether demand for TAO continues after the initial impact of the Anthropic news headline fades. Sustained demand is needed to maintain the upward momentum.

Пов'язані матеріали

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A 3B parameter dense reasoning model named VibeThinker-3B has gained significant attention for achieving performance comparable to leading models like Gemini 3 Pro, GPT-5 high, and Claude Opus 4.5 in verifiable reasoning tasks such as programming, mathematics, and STEM problem-solving, despite its significantly smaller size. Developed by Sina Weibo's team, the model is built upon Qwen2.5-Coder-3B. Its training employs an upgraded Spectrum-to-Signal pipeline, featuring a curriculum-based two-stage supervised fine-tuning (SFT), multi-domain reinforcement learning (RL) inspired by MGPO, offline self-distillation, and instruction RL to enhance controllability. A key innovation is the Claim-Level Reliability (CLR) assessment, a test-time scaling strategy that further boosts performance on math benchmarks. The model excels in specific, verifiable domains, scoring highly on tests like AIME26 (94.3/97.1 with CLR) and LiveCodeBench v6 (80.2 Pass@1). However, it performs less impressively in areas requiring broad general knowledge. The authors propose a "parameter compression coverage hypothesis," suggesting that verifiable reasoning abilities—reliant on multi-step logic and feedback—are highly compressible, while open-domain knowledge depends more on large-scale parameters. VibeThinker-3B demonstrates that small models, when specialized for tasks with clear verification signals, can reach frontier performance, offering a complementary research path to scaling model size. The model is publicly available for download and testing.

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