Pyth falls over 12% as short-term selling pressure persists despite AI product launches

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Pyth drops 12.06% today on volatility

Highlights

Pyth Network launched AI-driven market data features and secured approval to distribute Nasdaq Basic equity and ETF data.
All eligible product revenue will fund regular PYTH token buybacks under the formalized 100 Rule, amid fast-rising protocol revenue and on-chain trading volumes.
PYTH/USD trades in a short-term downtrend below resistance at $0.0798, with buyers controlling momentum and an 80% probability of an upward move to a $0.0651 to $0.1009 range in the next five days.

Bullish project momentum offsets persistent selling as new features launch

Pyth Network introduced new AI-powered market data features, including the Pyth Pro MCP Server 1.1 and the 'get_price_range' tool to support advanced analysis. The project received approval for Nasdaq Basic distribution to extend access to equity and ETF data and formalized the '100 Rule', channeling all eligible product revenue to monthly PYTH token buybacks. Rapid growth in protocol revenue and significant on-chain trading volumes were reported, though price action has remained under broader selling pressure.

Anton Kharitonov, expert at Traders Union, notes that PYTH's 12.06% drop highlights persistent short-term selling, even with strong news catalysts. He observes that price remains below the 20-day moving average, exposing weakness despite recent AI product rollouts and protocol growth. Technical signals are mixed, with both overbought and oversold indications — suggesting market indecision is still prevalent. Kharitonov warns that failing to reclaim $0.0798 may lead to further losses, especially if $0.0759 support breaks. "Until buyers prove control above resistance, I see this as a vulnerable chart where sellers have the upper hand."

Viktoras Karapetjanc, expert at Traders Union, believes Pyth Network's rapid innovation and Nasdaq approval are accelerating fundamental adoption. He sees robust protocol revenue and token buybacks driving sustainable value, with the bullish structure remaining intact above the 50- and 200-day averages. Market sentiment should improve as AI tools strengthen ecosystem utility. "With this pace of development, I expect further growth and attractive setups for those focused on medium-term gains."

Parshwa Turakhiya, analyst, highlights the current tug-of-war between sellers and opportunistic buyers. He notes the technical mix — with RSI and buy momentum clashing against overbought signs and oversold oscillators — creates short-term setups for nimble traders. The defined range between $0.0651 and $0.1009 means volatility can be harnessed for quick gains if key levels are watched closely. "Traders should be ready for fast swings in either direction, as sentiment pivots on the next resistance or support break."

Mixed momentum signals as price straddles short- and long-term averages

PYTH/USD is trading below its 20-day moving average at $0.08 but above the 50-day ($0.0663) and 200-day ($0.0488) moving averages. This positioning signals ongoing short-term weakness while retaining a medium- and long-term bullish structure. Immediate resistance is identified at $0.0798, with additional resistance at the Ichimoku Kijun line of $0.0806. Key support is seen at $0.0759. Momentum signals are mixed: the RSI stands moderately high at 59.40 and forecasts buy, whereas the CCI is overbought at 156.90 and the Stochastic RSI is oversold at 19.33. The MACD, ADX, and the Awesome Oscillator all indicate buy momentum, with Bull/Bear Power pointing to dominant buyer activity on an intraday basis. However, the combination of overbought and oversold signals suggests prevailing indecision.

Earlier, analysts noted that despite fundamental improvements and token buybacks Pyth faced pronounced short-term bearish pressure as price action failed to recover. The current outlook adds mixed momentum signals and a wider trading band, making immediate moves past $0.0798 resistance or a drop below $0.0759 pivotal for traders seeking direction.

Source of Data: PYTH Price Analysis by TU

The analysis is based on a proprietary model combining technical, on-chain, and expert data. Not investment advice. See methodology

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