Bitcoin (BTC) Holds Above STH Cost Bases at $110K–$117K, Indicating Strong Market Support

According to glassnode, Bitcoin (BTC) is trading above all short-term holder (STH) sub-cohort cost bases, specifically within the 24-hour to 3-month range, which lies between $110K and $117K. This price alignment with a low-volume zone indicates robust support levels for BTC, suggesting that even if a pullback occurs, the cryptocurrency is likely to find strong buying interest near these cost bases. This insight is crucial for traders monitoring potential entry points and managing risk during market corrections, as cited by glassnode.
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Bitcoin ($BTC) continues to demonstrate remarkable resilience in the cryptocurrency market, maintaining its position above all Short-Term Holder (STH) sub-cohort cost bases, which range from $110K to $117K for holders active between 24 hours and three months. According to on-chain analytics provider Glassnode, this positioning aligns closely with a light-volume zone, indicating potential strong underlying support should a market pullback occur. This insight, shared on July 31, 2025, highlights Bitcoin's robust foundation amid ongoing market volatility, offering traders valuable cues for navigating potential price corrections.
Analyzing Bitcoin's Support Levels and On-Chain Metrics
In the realm of cryptocurrency trading, understanding on-chain metrics like STH cost bases is crucial for identifying support and resistance levels. The current STH sub-cohort cost bases, spanning $110K to $117K, represent the average acquisition prices for Bitcoin holders who entered the market recently. Glassnode's analysis points out that Bitcoin's price remaining above these levels suggests that these short-term investors are still in profit, reducing the likelihood of mass sell-offs that could exacerbate a downturn. Furthermore, the alignment with a light-volume zone implies lower trading activity in this price range, which often acts as a buffer against sharp declines. Traders should monitor these levels closely; a dip below $110K could signal increased selling pressure, while holding above $117K might reinforce bullish momentum. This on-chain data provides a data-driven perspective for day traders and swing traders alike, emphasizing the importance of volume profiles in predicting price movements.
Trading Opportunities in a Potential Pullback Scenario
For those engaged in Bitcoin trading, this setup presents intriguing opportunities, particularly in futures and spot markets across major exchanges. If a pullback materializes, the $110K to $117K range could serve as a key support zone, where accumulation strategies might yield favorable entry points for long positions. Historical patterns show that when Bitcoin tests such cost basis levels during light-volume periods, rebounds often follow, driven by renewed buying interest from institutional players. Traders could look at derivatives data, such as open interest in BTC perpetual futures, to gauge market sentiment. For instance, a surge in long positions near these support levels might indicate confidence in a bounce-back, potentially targeting resistance at higher levels like $120K or beyond. Risk management is essential here; setting stop-loss orders just below $110K can protect against deeper corrections, while leveraging tools like the Relative Strength Index (RSI) or Moving Averages could help confirm reversal signals. This analysis underscores how on-chain insights can inform precise trading decisions, blending technical analysis with fundamental market health indicators.
Broadening the view to the wider cryptocurrency ecosystem, Bitcoin's stability above these STH cost bases could positively influence altcoins and correlated assets. Ethereum ($ETH), for example, often mirrors Bitcoin's movements, and a strong BTC support level might encourage capital flows into ETH trading pairs, boosting overall market sentiment. From a cross-market perspective, this Bitcoin resilience aligns with broader financial trends, where stock market indices like the S&P 500 have shown correlations with crypto performance. Institutional flows, as tracked by various analytics, suggest that large-scale investors are viewing these support zones as buying opportunities, potentially driving Bitcoin's trading volume higher in the coming sessions. On-chain metrics further reveal steady accumulation by long-term holders, with metrics like the Mean Coin Age trending upwards, indicating reduced selling intent. For traders, this means watching for volume spikes in BTC/USDT pairs, which could signal the start of a new uptrend. In AI-related crypto sectors, tokens linked to artificial intelligence projects might benefit from positive Bitcoin sentiment, as market optimism often spills over into innovative tech narratives. Overall, this Glassnode insight equips traders with a strategic edge, focusing on support-driven recoveries rather than speculative highs.
Market Sentiment and Institutional Implications
Market sentiment around Bitcoin remains cautiously optimistic, bolstered by these on-chain support indicators. Without immediate real-time price data, the emphasis shifts to broader implications, such as how this positioning could attract more institutional capital. Reports from blockchain analytics highlight that when Bitcoin hovers above key cost bases, it often precedes periods of increased trading volume and price appreciation. Traders should consider macroeconomic factors, like interest rate decisions, which could impact crypto liquidity. In a pullback event, the light-volume zone at $110K-$117K might act as a magnet for dip buyers, potentially leading to a swift recovery. This scenario offers lessons in risk assessment, encouraging diversified portfolios that include BTC alongside stablecoins for hedging. As the cryptocurrency market evolves, staying attuned to such on-chain signals ensures traders can capitalize on emerging trends, from spot trading to options strategies. In summary, Bitcoin's current stance above STH cost bases not only suggests strong support but also opens doors for proactive trading approaches, blending data analytics with market intuition for optimal outcomes.
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