Bitcoin Derivative Pressure Score Hits 30%: Downside Risk Signal

bitcoinistPublicado em 2025-09-02Última atualização em 2025-09-02

Resumo

Bitcoin is at a crossroads after failing to reclaim higher supply levels, raising concerns among investors about the strength of...

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

Bitcoin is at a crossroads after failing to reclaim higher supply levels, raising concerns among investors about the strength of its current trend. The price has slipped below key demand zones, and bullish momentum is showing signs of exhaustion. For now, traders are watching closely as the market decides whether BTC can recover or if a deeper correction is underway.

The mood across the market has shifted, with many analysts warning that Bitcoin could soon test the $100K level. Such a move would mark one of the most significant corrections of this cycle, sparking fear among short-term participants while possibly presenting opportunities for longer-term investors.

Top analyst Axel Adler has shed light on the situation, pointing to data that highlights persistent derivative pressure. According to him, Bitcoin’s baseline trend suggests pullbacks are being driven by long de-leveraging. With derivative markets heavily influencing price action, this pressure score — currently sitting in an elevated zone — keeps the market vulnerable to downside jolts.

Bitcoin Open Interest Signals Risks Ahead

According to top analyst Axel Adler, Bitcoin’s current weakness is strongly tied to derivative market dynamics. He highlights that the Bitcoin Open Interest Pressure Score sits at 30%, placing it firmly in the upper band. Historically, this level reflects elevated risk conditions, where the market becomes vulnerable to sudden downside jolts. In such environments, leveraged longs face pressure, and any sharp decline in spot prices tends to trigger waves of liquidations that amplify volatility.

Bitcoin Open Interest Pressure Score (1-100) | Source: Axel Adler
Bitcoin Open Interest Pressure Score (1-100) | Source: Axel Adler

Adler points out that the presence of orange cluster markers on the price chart reinforces this risk. These clusters typically favor continued sideways or lower movement as the market undergoes a process of long de-leveraging. Essentially, traders who overextended during Bitcoin’s surge above $120K are now being forced out of positions, which weighs on momentum and creates a ceiling on recovery attempts.

Adding further pressure is the recent capital rotation trend dominating crypto markets. Institutions and whales have been observed selling portions of their BTC holdings to accumulate Ethereum, a strategy supported by growing ETH adoption and whale activity. This shift of liquidity has likely contributed to Bitcoin’s struggle to hold above the $110K level, weakening bullish conviction.

If Bitcoin fails to reclaim lost ground and derivative pressure remains elevated, a test of the $100K zone becomes increasingly probable. Conversely, stabilization and absorption of selling could reset leverage and prepare BTC for its next major move. Either way, market participants should brace for heightened volatility.

Price Action Details: Testing Pivotal Level

Bitcoin (BTC) is showing signs of stabilization after intense volatility in recent sessions. The chart highlights BTC trading at $110,488, attempting to reclaim ground after dipping below the $110K threshold. This level has now become a pivotal battleground between bulls and bears, with the next moves likely determining short-term direction.

BTC consolidates around pivotal price level | Source: BTCUSDT chart on TradingView
BTC consolidates around pivotal price level | Source: BTCUSDT chart on TradingView

The 50-day moving average sits above current price action, near $115,755, reinforcing the overhead resistance zone. BTC must regain this level to confirm strength and attempt a retest of the $123,217 resistance, which remains the major hurdle for continuation toward new highs. On the downside, the 200-day moving average, currently around $101,388, acts as a critical safety net. A decisive breakdown below that point could accelerate a deeper correction, with the $100K level serving as psychological support.

The structure suggests the market is in a consolidation phase, digesting the steep rally earlier in the cycle. If bulls manage to hold above $110K and build momentum, a move toward $115K and eventually $123K could follow. However, failure here may reopen the door for tests of lower demand zones closer to $105K–$101K.

Featured image from Dall-E, 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.

Sebastian's journey into the world of crypto began four years ago, driven by a fascination with the potential of blockchain technology to revolutionize financial systems. His initial exploration focused on understanding the intricacies of various crypto projects, particularly those focused on building innovative financial solutions. Through countless hours of research and learning, Sebastian developed a deep understanding of the underlying technologies, market dynamics, and potential applications of cryptocurrencies. As his knowledge grew, Sebastian felt compelled to share his insights with others. He began actively contributing to online discussions on platforms like X and LinkedIn, focusing on fintech and crypto-related content. His goal was to expose valuable trends and insights to a wider audience, fostering a deeper understanding of the rapidly evolving crypto landscape. Sebastian's contributions quickly gained recognition, and he became a trusted voice in the online crypto community. To further enhance his expertise, Sebastian pursued a UC Berkeley Fintech: Frameworks, Applications, and Strategies certification. This rigorous program equipped him with valuable skills and knowledge regarding Financial Technology, bridging the gap between traditional finance (TradFi) and decentralized finance (DeFi). The certification deepened his understanding of the broader financial landscape and its intersection with blockchain technology. Sebastian's passion for finance and writing is evident in his work. He enjoys delving into financial research, analyzing market trends, and exploring the latest developments in the crypto space. In his spare time, Sebastian can often be found immersed in charts, studying 10-K forms, or engaging in thought-provoking discussions about the future of finance. Sebastian's journey as a crypto analyst and investor has been marked by a relentless pursuit of knowledge and a dedication to sharing his insights. His ability to navigate the complex world of crypto, combined with his passion for financial research and communication, makes him a valuable asset to the industry. As the crypto landscape continues to evolve, Sebastian remains at the forefront, providing valuable insights and contributing to the growth of this revolutionary technology.

Leituras Relacionadas

2028: The Arrival of Recursive Self-Improvement (RSI)

**AI Recursive Self-Improvement (RSI): The Countdown to 2028 Begins** AI is no longer just a trained tool but is starting to rewrite its own evolutionary pace. According to Anthropic co-founder Jack Clark, there is a 60% probability that by the end of 2028, Recursive Self-Improvement (RSI) will become a reality. This means AI could autonomously design and build a more capable next-generation version of itself without any human researcher involvement—Claude 10 creating Claude 11, for instance. Supporting this timeline, Google DeepMind's CEO Demis Hassabis confirms that all leading AI labs are intensely focused on RSI, making it an industry-wide priority. He expresses profound concern, stating this potential is what keeps him awake at night. Concrete data underscores this acceleration: - METR evaluations show current top models like Claude are solving tasks up to the 16-hour limit of existing test frameworks. - In Epoch AI's challenging MirrorCode benchmark, Claude Opus 4.7 recreated complex software in hours for a fraction of the human cost. In one extreme test, AI autonomously coded for 19 days straight. - Anthropic reports over 80% of its codebase is now written by Claude, and researcher productivity has increased up to 8-fold since 2024. - OpenAI's policy blueprint highlights RSI as a major upcoming governance challenge. CEO Sam Altman reportedly hinted RSI might arrive within six months, potentially delaying OpenAI's massive IPO. The implication is an impending "intelligence explosion," where AI-driven progress outpaces human control. The central question is no longer if it will happen, but whether humanity is ready.

marsbitHá 3h

2028: The Arrival of Recursive Self-Improvement (RSI)

marsbitHá 3h

World Models, Metaverse, Digital Twins, Physical AI: Are They the Same Thing?

Title: World Models, the Metaverse, Digital Twins, Physical AI: Are They the Same Thing? The article clarifies that concepts like the metaverse, Web3, simulation platforms, digital twins, and Physical AI are not the same thing but are all part of the broader trend of blurring the lines between the digital and physical worlds. It positions "world models" as the foundational "cognitive layer" or "operating system" that enables AI to understand and simulate the world. Key distinctions are made: - The **Metaverse** is a destination for immersive social and economic experiences. World models could act as its "engine," generating interactive 3D content efficiently. - **Web3** focuses on decentralized ownership and economics (rules layer), operating on a different technical level than world models. - **Simulation Data Platforms** (e.g., for autonomous vehicles) are a 1.0 version, relying on manual design. World models represent a 2.0 version, using AI to generate realistic, varied scenarios autonomously. - **Digital Twins** create high-fidelity, real-time mirrors of physical systems (e.g., a factory). World models go a step further by enabling predictive simulation of future states. - **Physical AI** (robots, AVs) refers to AI that acts in the physical world. World models are a core component, providing the understanding and prediction needed for planning. A proposed hierarchy places world models at the cognitive layer, supported by infrastructure (compute, data) and supporting application tools (simulation, digital twins), action systems (Physical AI), user experiences (metaverse), and rules (Web3). In conclusion, while distinct, many of these previously hyped concepts may ultimately rely on advances in world model technology to fulfill their promises, as world models provide the essential cognitive foundation for simulating and interacting with complex environments.

marsbitHá 3h

World Models, Metaverse, Digital Twins, Physical AI: Are They the Same Thing?

marsbitHá 3h

"Shocking" CPO: How Does the Glass Bridge Actually Work? Detailed Explanation from Corning

Chinese CPO stocks plunged over 6% following Corning's announcement of its Glass Bridge platform at a Seoul tech conference. The new technology utilizes wafer-level glass ion-exchange waveguides for passive alignment between fibers and photonic chips, potentially simplifying traditional CPO architectures that rely on complex Fiber Array Units and active alignment equipment. This raised market concerns about reduced long-term demand for mid-stream CPO components. Corning's official documentation details Glass Bridge as a platform for fiber-to-PIC connectivity in NPO, CPO, and high-density modules. Its key features include wafer-level manufacturing for consistent, cost-effective production; a standardized, removable MT ferrule interface for ecosystem integration; and a separable high-density connector design supporting over 24 channels for assembly flexibility. Corning positions the technology as complementary to FAUs, addressing limitations in ultra-high-fiber-count scenarios. The market reaction reflects a broader reassessment of the AI optical interconnect value chain. Funds shifted from CPO and PCB manufacturing stocks towards glass substrate concept stocks like Kaisheng Technology and Dyer Laser. Analysts note glass substrates are seen as a next-gen advanced packaging material, offering a potential path for domestic industry differentiation amid AI-driven demand for high-performance, large-scale packaging, marking a structural migration in value towards upstream specialty materials.

marsbitHá 3h

"Shocking" CPO: How Does the Glass Bridge Actually Work? Detailed Explanation from Corning

marsbitHá 3h

Trading

Spot
活动图片