Analysis: The Bitcoin market is experiencing a healthy pullback, with new entrants panic selling.
BlockBeats News, August 26th, a CryptoQuant analyst wrote that a typical market cleansing is unfolding. On-chain data shows that the latest Bitcoin market entrants are cutting losses and exiting, while more experienced holders are accumulating these sell-off chips. This is not a signal of systemic weakness but a constructive adjustment that helps clear speculative leverage, thereby strengthening the market's foundation.
The pain point is almost entirely concentrated on the most recent entrants. Investors holding for less than a month are currently experiencing an average unrealized loss of -3.5%. Their reaction is very direct: selling. We have seen a significant decrease in the hodling supply of this group in recent weeks. This is a textbook example of "panic selling."
In stark contrast, a broader group of short-term holders (STH) remains steady and profitable, with an overall gain of +4.5%. This indicates that while the shortest-term newbies are forced to exit, holders of 1-6 months not only hold their positions but are also in a relatively comfortable profit state. The decrease in total STH supply is not a sign of panic spreading but a direct result of "speculative tourist" capitulation.
This is a structural positive development. The market is cleansing its weakest holders, transferring Bitcoin to those with lower costs and stronger convictions. With the release of panic selling pressure, the selling pressure above the market is significantly reduced, making the price structure more stable. Although this adjustment is very painful for recent high buyers, it is precisely such a clearing event that establishes a solid support base for the next major uptrend.
You may also like

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer

Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1

$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor

Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.

Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.

Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?

Understanding x402 and MPP in One Article: The Two Paths of Agent Payments

Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?

It's not just the prediction market that profits from the Iraq War

The "bank card" of AI has caught the attention of the giants

Morning News | U.S. SEC approves tokenized trading on Nasdaq; Animoca Brands announces investment in AVAX tokens; Algorand Foundation completes strategic integration

$70 trillion wealth transfer, the financial gateway is being rewritten | Interview with Robinhood CEO Vlad Tenev
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.
Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K
Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?
Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.