Bitcoin Price Staging A Comeback? On-Chain Signals Suggest Market Bottom Is In

bitcoinist2025-08-31 tarihinde yayınlandı2025-09-01 tarihinde güncellendi

Özet

The Bitcoin price has struggled to break free of its horrid run of performances over the past few days, continuing...

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

The Bitcoin price has struggled to break free of its horrid run of performances over the past few days, continuing to move below the $110,000 mark. While the flagship cryptocurrency appears to be relatively more stable in the past day, concerns are still swirling around about the coin’s struggles beneath critical levels.

According to a prominent market expert on X, the Bitcoin price could be gearing up to make a comeback in the coming days. The latest on-chain signals suggest that the market leader might have hit a price bottom, hinting that a trend reversal could be imminent.

Bitcoin Price Structure Might Be Bottoming Out: Analyst

In an August 30 post on X, crypto analyst Willy Woo revealed that the Bitcoin price structure might be bottoming out. The online pundit hinted that the world’s largest cryptocurrency might be at the start of its recovery journey after weeks of sluggish price action.

Woo highlighted a couple of on-chain metrics to back this optimistic outlook for the Bitcoin price. Firstly, the analyst mentioned the capital inflow metric, which tracks the amount of money that flows into the flagship cryptocurrency within a given period.

Bitcoin price

Source: @woonomic on X

As observed in the chart above, the Bitcoin network recently recorded its “first daily print” of positive inflows after weeks of outflows. According to Woo, this increasing flow into the BTC network is the first sign that the Bitcoin price might have reached a bottom.

Furthermore, Woo highlighted that the Macro Cycle Risk formed a new lower high and has triggered a drop in risk. Typically, a decline in the Macro Cycle Risk indicator suggests that liquidity is returning to the Bitcoin network, which could signal the start of buying pressure for the market leader.

Bitcoin price

Source: @woonomic on X

In the post on X, the crypto analyst also mentioned that the Risk-Off signal has reached a local peak and is on the decline. This drop suggests that investors are moving away from caution and might be looking to invest their money into risk assets, including cryptocurrencies.

Ultimately, Woo concluded that the Bitcoin price is stabilizing and seems to be forming a bullish structure already. The pundit, however, noted that investors would need to keep buying the dip for the bullish structure to fully form.

Bitcoin Price At A Glance

As of this writing, the price of BTC stands at around $108,756, reflecting an almost 1% increase in the past 24 hours.

Bitcoin price

The price of BTC on the daily timeframe | Source: BTCUSDT chart from TradingView
Featured image from iStock, chart from TradingView
Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Opeyemi Sule is a passionate crypto enthusiast, a proficient content writer, and a journalist at Bitcoinist. Opeyemi creates unique pieces unraveling the complexities of blockchain technology and sharing insights on the latest trends in the world of cryptocurrencies. Opeyemi enjoys reading poetry, chatting about politics, and listening to music, in addition to his strong interest in cryptocurrency.

İlgili Okumalar

Dwarkesh Patel: The Next Generation of AI May Be Built Through Actual Work

In his latest podcast, Dwarkesh Patel explores the next paradigm for AI training. While current progress in fields like coding and math relies on Reinforcement Learning with Verifiable Rewards (RLVR), which requires tasks that are both verifiable and highly scalable ("grindable"), Patel questions whether this is sufficient for complex real-world objectives like starting a business, winning a legal case, or managing an organization. These tasks provide verifiable outcomes but lack the resetable, parallelizable environments needed for efficient RLVR training. Patel argues the key limitation of current models is their inability to convert valuable in-context learning from real deployment into permanent weight updates—a process he terms "learning back to the weights." He proposes two potential solutions: On-Policy Self-Distillation (OPSD), where a model distills knowledge from long, task-specific sessions back into its base weights, and "dreaming," where an AI constructs simulated environments from real-world observations to practice and refine strategies. Ultimately, Patel envisions a future training paradigm where AI advances not just through pre-training on static datasets but through continual, post-deployment learning from real-world experience. This shift would enable AI to move beyond "grindable" tasks and develop robust, generalizable agent capabilities for complex, real-world challenges.

marsbit27 dk önce

Dwarkesh Patel: The Next Generation of AI May Be Built Through Actual Work

marsbit27 dk önce

İşlemler

Spot
活动图片