Solana OI And Weighted Funding Rate Crash To Levels Not Seen Since 2023

bitcoinistОпубликовано 2026-03-04Обновлено 2026-03-04

Введение

Solana has experienced a significant decline, with its price falling over 71% from its all-time high of $291 in January 2025. Key metrics such as Open Interest and Weighted Funding Rate have also dropped to multi-year lows. Open Interest, which reflects market activity, has plummeted from a peak of $17.1 billion to under $4.9 billion, indicating reduced investor interest. The Weighted Funding Rate, which influences trader positions, has also fallen to its lowest level in more than a year and remains mostly negative, meaning short traders are currently paying to maintain their positions. Both metrics underscore the ongoing bearish trend in the Solana market.

After hitting an all-time high of $291 back in January 2025, Solana has begun what has been a year of steady declines. While there have been some relief bounces along the way, the main direction has been downward. At the time of writing, the price of Solana is now sitting more than 71% below its all-time high levels. Other major metrics have also seen significant declines during this time, with Open Interest and Weight Funding Rate falling to two-year lows.

Solana Open Interest And Weighted Funding Rate Reflect The Bear Trend

According to data from the Coinglass website, the Solana open interest had actually peaked long after its price hit its peak, which is usually not the case. The open interest topped out at $17.1 billion, nine months after the price hit its all-time high. However, in the five months following the open interest hitting a new high, things have changed drastically.

The website shows that Solana’s open interest has now crashed below $5 billion, sitting at $4.89 billion at the time of writing. Interestingly, the open interest has followed closely with the price decline, and the crash below $100 for the first time since January 2024 has triggered a cascade.

Since open interest measures the open contracts on an asset, it is often a signal of how much attention a coin is getting. With the open interest sitting so low, it suggests that investors are not taking as many bets on Solana as they used to. This is normal in bear markets, when investors are still fearful and wait to see the market improve before jumping back in again.

Source: Coinglass

In the same vein, the weighted funding rate has taken a nosedive. Similar to the open interest, the funding rate had hit a new all-time high back in 2025 before moving downward again, and has now hit its lowest level in more than one year.

The funding rate is essentially what traders pay to hold perpetual positions, with long traders paying short traders when the rates are positive and short traders paying long traders when the rates are negative. Simply put, the funding rate can encourage traders to open positions in different directions in favor of not paying fees.

Currently, the Solana weighted funding rate is fluctuating between positive and negative. However, it has been mostly negative with the decline in price. This means that currently, short traders are paying to keep their positions open.

SOL still trending below $90 | Source: SOLUSDT on Tradingview.com

Связанные с этим вопросы

QWhat is the current price of Solana compared to its all-time high, and by what percentage has it declined?

AThe current price of Solana is more than 71% below its all-time high of $291.

QWhat are the two major Solana metrics that have fallen to two-year lows according to the article?

AThe two major metrics are Open Interest and Weighted Funding Rate.

QAt what value did Solana's Open Interest peak, and what is its value now?

ASolana's Open Interest peaked at $17.1 billion and is now at $4.89 billion.

QWhat does a negative funding rate indicate about who is paying fees in the perpetual futures market?

AA negative funding rate indicates that short traders are paying long traders to keep their positions open.

QWhat event triggered a cascade in the Solana market according to the article?

AThe price of Solana crashing below $100 for the first time since January 2024 triggered a cascade.

Похожее

Xpeng and NIO Compete on Computing Power, Li Auto Shifts Architecture

On June 15, 2026, Li Auto unveiled details of its self-developed chip, Mahe M100, for its new L9 Livis model. CTO Xie Yan stated the goal was not just a faster chip, but a fundamentally different one, targeting the chip architecture itself. While competitors like NIO, Xpeng, and Huawei highlight TOPS (computing power) figures for their self-developed chips, Li Auto’s Mahe M100 focuses on redesigning the underlying architecture. It employs a "dynamic data flow architecture" to address memory bandwidth bottlenecks in large model inference, claiming up to 3x the effective computing power of Nvidia's Thor U for its specific workloads and a 40% reduction in latency. The chip's design was peer-reviewed and accepted at ISCA 2026. However, this performance is highly optimized for Li Auto's own VLA2.1 algorithm, meaning it may not generalize as well to other tasks. Li Auto aims to achieve full-stack in-house development with Mahe M100, covering chip, compiler, OS, AI algorithms, and domain controller—a level of vertical integration few competitors match. Beyond the chip, CEO Li Xiang introduced a new strategic narrative: the "embodied intelligent vehicle," defined as an integration of an EV, a professional driver, an AI computer, and a life assistant. This shifts competition from features like large screens to systemic AI capabilities. A key commitment was that Li Auto's Mahe VLA autonomous driving model will match Tesla's FSD V14 by Q4 2026, with specific OTA milestones set for July, September, and December. Financially, Li Auto faces pressure with declining revenue and vehicle gross margins since Q4 2025, while maintaining high R&D investment (approx. ¥12B in 2026, 50% AI-related). Its 2026 sales target is 550,000 vehicles, up from 406,000 in 2025. The new L9 Livis garnered over 10,000 pre-orders in two weeks. The effectiveness of these strategic moves—new products, OTAs, and the novel chip architecture—will begin to show in Q3 2026 financial results, with the year-end FSD V14 benchmark being the ultimate test.

marsbit39 мин. назад

Xpeng and NIO Compete on Computing Power, Li Auto Shifts Architecture

marsbit39 мин. назад

The Year of AI Applications: Saying 'Yes' While Ignoring Risks? A Comprehensive Open Source Log of Software Development's Journey

The Year of AI Applications: Blindly Saying "Yes" While Ignoring Risks? A Software Development Log Goes Fully Open Source. AI-generated code harbors risks hidden within seemingly correct programs, potentially leading to data leaks or asset loss. The open-source project "Narwhal AI Code Risks," from Peking University's Narwhal-Lab, compiles real-world cases, early warning signs, and typical risk pathways. Its goal is to help developers identify potential hazards early and avoid repeating past mistakes. In 2026, code is generated faster than ever but deployed with less scrutiny. The danger often lies not in glaring errors, but in code that appears normal—syntactically correct, passing all checks—yet introduces subtle but critical flaws like non-existent dependencies, excessive permissions, or exposed databases. A stark example is the Moonwell cbETH oracle incident. A configuration file error, where a cryptocurrency price was set to ~$1.12 instead of ~$2,200, slipped through 28 checks and a pull request signed by both AI (Claude, Copilot) and human developers. This "semantic deviation" resulted in a loss of $1.78 million. The risk is that AI can produce functionally valid code that is semantically wrong for the business context. As AI moves beyond simple code completion to modifying configurations, installing dependencies, and operating via autonomous agents, it traverses longer, less traceable paths within software engineering, blurring traditional boundaries and oversight points. The Narwhal AI Code Risks project structures information into three layers: `/cases` for documented real-world incidents, `/inferred` for early warning signals, and `/scenarios` for clear, generalized risk patterns not yet tied to specific events. This aims to create a lasting, public record to prevent collective amnesia about past AI-coding pitfalls. Risks are categorized into seven areas: Software Supply Chain (e.g., recommending fake packages), Code-Level Vulnerabilities (e.g., reintroducing path traversal bugs), Cloud & Infrastructure Misconfiguration (e.g., overly permissive settings), Agent Risks (from autonomous tool execution), Vertical Domain Risks (e.g., in finance, healthcare), Intellectual Property & Compliance issues, and Human Factors (like over-reliance on AI output). The project's core value is transforming isolated incidents into reusable knowledge—a foundational resource for developers to spot similar issues, for security researchers to build upon, for toolmakers to create detection rules, and for the community to contribute new findings. As AI integration accelerates, this open-source "logbook" serves as a crucial navigational aid, charting past errors to help future projects steer clear of the same traps.

marsbit40 мин. назад

The Year of AI Applications: Saying 'Yes' While Ignoring Risks? A Comprehensive Open Source Log of Software Development's Journey

marsbit40 мин. назад

The Foundation of SpaceX's Trillion-Dollar Valuation: Who is Dividing Up Musk's Annual Tens of Billions in Capital Expenditure?

SpaceX's trillion-dollar valuation is built on its three core businesses: Starlink (profitable, 60% of revenue), rockets (driving down launch costs), and AI (a major investment area). This creates a financial cycle: Starlink funds rocket development, which enables low-cost launches for AI hardware, generating future revenue. This cycle fuels annual capital expenditures of tens of billions, flowing to a vast supply chain. Suppliers are categorized by their replaceability. The first group includes irreplaceable players like NVIDIA (GPU/CUDA ecosystem), Eutelsat (critical radio spectrum), Filtronic (specialized amplifiers), Materion (strategic beryllium), and STMicroelectronics (antenna chips). The second group consists of hard-to-replace suppliers due to high switching costs, such as Honeywell (flight control), Carpenter Technology (specialty alloys), Hexcel (carbon fiber), Broadcom (data exchange), and Linde (industrial gases). The third group comprises high-volume, cost-critical suppliers for mass-produced items like Starlink terminals. Key names include Wistron NeWeb (primary manufacturer) and several A-share companies like Shenzhen Sunway (connectors), Pies New Materials (forgings), Western Superconducting (alloys), and Yingliu (castings). Other niche players include Trimble (timing), Astronics (power distribution), and CTS (thermal management). The article argues that investing in these suppliers, rather than SpaceX stock directly, offers an alternative opportunity. The rationale is threefold: procurement is just beginning to scale, SpaceX's IPO brings new transparency to its supply chain, and the situation mirrors early stages of past "super terminal" ecosystems like Apple or Tesla. While risks exist (commodity cycles, geopolitical factors, technology shifts), the core thesis is that SpaceX's massive, ongoing procurement will translate into reliable revenue for its key suppliers, regardless of its own stock price volatility.

marsbit1 ч. назад

The Foundation of SpaceX's Trillion-Dollar Valuation: Who is Dividing Up Musk's Annual Tens of Billions in Capital Expenditure?

marsbit1 ч. назад

SpaceX's Trillion-Dollar Valuation Base: Who's Sharing in Musk's Annual Tens of Billions in Capital Expenditure?

**Title: The Foundation of SpaceX's Trillion-Dollar Valuation: Who Benefits from Musk's Annual $100 Billion Capital Expenditure?** This article argues that investors seeking to benefit from SpaceX's growth might find greater opportunities in its supply chain rather than directly investing in the company itself, drawing parallels to historical successes with Apple, Tesla, and NVIDIA suppliers. **SpaceX's Business Model & Cash Flow:** SpaceX generates revenue from three main areas: 1. **Starlink:** Its profitable core, earning $11.3B in 2023 (60% of revenue), funding other ventures. 2. **Rockets (Falcon/Starship):** Requires $3B+ in annual R&D but achieves the world's lowest launch costs. 3. **AI:** Currently unprofitable (-$6B+ in 2023), investing heavily in ground-based supercomputers (220,000 GPUs) and future orbital data centers. The cycle is: Starlink profits → fund cheaper rockets → low-cost launches deploy AI hardware → AI compute rentals generate future revenue. This cycle drives annual procurement spending of tens of billions of dollars. **The Supply Chain Beneficiaries:** Suppliers are categorized by their replaceability: **1. Nearly Irreplaceable (High Barriers to Entry):** * **NVIDIA:** Powers the Colossus supercomputer; its CUDA ecosystem creates immense switching costs. * **Eutelsat (SATS):** Controls critical radio spectrum for satellite communications; holds a ~3% stake in SpaceX. * **Filtronic (FTC):** Supplies millimeter-wave signal amplifiers for Starlink satellites; SpaceX constitutes 83% of its revenue. * **Materion (MTRN):** Global leader in beryllium production, a strategic material used in Starship structures. * **STMicroelectronics (STM):** Supplies phased-array antenna chips for Starlink satellites. **2. Replaceable, but Switching Cost is Prohibitively High:** * **Honeywell (HON):** Provides flight control and inertial navigation systems with decades of certification. * **Carpenter Technology (CRS):** Manufactures ultra-pure specialty steel alloys for Raptor engines. * **Hexcel (HXL):** Supplies custom carbon fiber composites developed over a decade with SpaceX. * **Broadcom (AVGO):** Manages high-speed data switching. * **Linde Group:** Supplies industrial gases (liquid oxygen/nitrogen) from facilities built near SpaceX launch sites. **3. High-Volume, Cost-Critical Manufacturing:** Focuses on mass-producing components like Starlink user terminals (target: 30 million units). * **Key Players:** Wistron NeWeb (6285, primary terminal manufacturer), several Chinese A-share companies (e.g., Sunway Communication, PAX New Materials, Western Metal Materials, Yingliu Co.), and smaller US firms like Trimble (TRMB, timing systems). **Why Now?** Three factors make the supply chain opportunity timely: 1. **Volume Ramp-Up:** SpaceX plans 100 launches in 2026, aims for 30 million Starlink terminals, and will deploy AI data centers, meaning procurement will accelerate. 2. **Increased Transparency:** The IPO provides public financial data, allowing investors to track supplier order growth. 3. **Historical Precedent:** The current phase is likened to Tesla's early mass-production stage (circa 2018), suggesting a long growth runway for suppliers. **Conclusion:** The article posits that while investing in SpaceX stock is betting on Elon Musk's ambitious vision at a high valuation, investing in its established suppliers is a bet on the tangible, recurring revenue from its massive procurement budget, which is largely decoupled from day-to-day stock price volatility.

链捕手1 ч. назад

SpaceX's Trillion-Dollar Valuation Base: Who's Sharing in Musk's Annual Tens of Billions in Capital Expenditure?

链捕手1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на SOL (SOL) представлены ниже.

活动图片