Bitcoin Trading Volume Nears One-Year Highs As Volatile Market Continues

BitcoinistPublicado a 2022-06-24Actualizado a 2022-06-24

Resumen

Data shows the Bitcoin spot trading volume has surged up recently and is now approaching one-year highs as volatility in...

Data shows the Bitcoin spot trading volume has surged up recently and is now approaching one-year highs as volatility in the market continues.
Bitcoin Weekly Trading Volume Jumps Up To Almost $8 Billion
According to the latest weekly report from Arcane Research, the spot volume has continued to go up since the crash.

The “trading volume” is an indicator that measures the total amount of Bitcoin that changed hands on any given day.
When the value of this metric increases, it means the number of coins being involved in transactions is going up at the moment.
Such a trend shows the BTC network is becoming more active as investors are moving a larger number of coins right now.
On the other hand, a decreasing volume can suggest the general investor interest in the crypto may be going down as the network activity is declining.
Now, here is a chart that shows the trend in the Bitcoin trading volume over the past year:

Bitcoin Trading Volume

The value of the metric seems to have shot up in recent days | Source: Arcane Research's The Weekly Update - Week 24, 2022
As you can see in the above graph, the Bitcoin trading volume has been rising recently and is now at a high value.
The current 7-day average value of the indicator is around $7.8 billion, close to the yearly high set during the LUNA crash last month.
Other than that spike and the current one, the spot volume had been pretty dead throughout the past 12 months, compared to the values of early 2021.
The reason behind the current high trading volumes is that Bitcoin has been observing some pretty sharp volatility recently.
The below chart shows the trend in the BTC volatility during the last year and a half.

Bitcoin Volatility


Looks like the BTC market has faced high volatility recently | Source: Arcane Research's The Weekly Update - Week 24, 2022
From the graph, it’s apparent that the 7-day average value of the Bitcoin volatility right now is the highest it has been since the May of 2021.
Periods with high volatility usually attract a large number of traders to the market and pushes those already in it to make some moves, thus resulting in high volumes.
BTC Price
At the time of writing, Bitcoin’s price floats around $20.6k, down 3% in the last seven days. Over the past month, the crypto has lost 32% in value.
The below chart shows the trend in the price of the coin over the last five days.

Bitcoin Price Chart


The value of BTC has been moving sideways over the last few days | Source: BTCUSD on TradingView

Lecturas Relacionadas

Hardcore First Look | Ocean Embodied Intelligence Company 'Shihang Intelligence' Secures Record-Breaking 1 Billion in Funding, Zhu Xiaohu, Temasek Place Bets

Breaking News | Ocean Embodied Intelligence company "Shihang Intelligent" secures a record-breaking 1 billion RMB (approximately 10 billion yuan) in Series A financing, with investment from Zhu Xiaohu and Temasek. Author: Qiu Xiaofen | Editor: Yuan Silai Ocean Embodied Intelligence company "Shihang Intelligent" has completed its Series A funding round, raising over 1 billion RMB. This marks the largest single funding round in the global marine robotics field to date. Investors include upstream momentum funds from chip companies "Moore Thread" and "Kunlunxin," Singapore's state-owned investment platform Vertex Growth, and listed company Dyneo, among others. Existing investors like GSR Ventures (whose founder Zhu Xiaohu has invested for the fifth time), Vertex Ventures China, Hua Ying Capital, and Long Capital also significantly increased their investments. Founder and CEO Chen Xiaobo, a 1989-born alumnus of Harbin Engineering University, is a long-time expert in underwater robotics. He received the National Defense Science and Technology Progress Award at age 28 (the youngest recipient) and led the development of China's first commercial underwater cleaning robot. The funds will be used for core technology R&D, global market expansion, and building the industry chain ecosystem to scale the application of marine robots in complex underwater scenarios. The ocean is considered one of the most challenging environments for robotics due to low light, high turbidity, complex currents, limited communication, high pressure, and corrosion. "Shihang Intelligent" focuses on developing core underlying technologies for marine robots, covering six key systems: power, control, sensing, navigation, sealing, and deployment. Its robots are capable of operating at depths from 0 to 10,000 meters with full degrees of freedom, performing complex maneuvers, autonomous navigation, and multi-robot collaboration. Applications include ship cleaning, underwater security, offshore wind power, marine ranching, and seabed inspection. The company's order value for the first half of 2026 alone has exceeded 1 billion RMB. Its "Orca Robot" is used by major shipping companies and has performed maintenance on over a thousand large vessels. In April of this year, the company launched its ocean embodied large model "Cangqiong CEORION." Unlike traditional remote-controlled or pre-programmed robots, this model integrates environmental perception, task understanding, and action generation into a single end-to-end architecture. Trained on millions of hours of commercial operation data and simulation data, it covers 12 major underwater operation scenarios. In simulations, it achieved over 90% task success rate and over 70% zero-shot adaptation capability to unseen environments. A built-in physics reasoning module reduces collision risk by 80%, enabling autonomous operation even with weak or no communication. Recently, "Shihang Intelligent" was selected as a core technology partner for Singapore's Maritime and Port Authority national hull inspection and cleaning program. These advancements indicate marine robotics is moving from pilot projects to scaled applications, with real-world operations generating valuable data to continuously improve robot capabilities. CEO Chen Xiaobo stated the company will continue investing in core marine robotics technology, the embodied intelligence model, and global application scenarios to expand into more high-risk, high-difficulty, and high-value underwater operations.

marsbitHace 22 min(s)

Hardcore First Look | Ocean Embodied Intelligence Company 'Shihang Intelligence' Secures Record-Breaking 1 Billion in Funding, Zhu Xiaohu, Temasek Place Bets

marsbitHace 22 min(s)

Three Months, 35 Billion Yuan: Investors Rush to Grab the OpenAI of the Physical World

Investors flock to a physical AI startup as the race for the "OpenAI of the physical world" heats up. Ji Jia Shi Jie (GigaWorld), a company dedicated to developing Artificial General Intelligence (AGI) for the physical world, has raised 3.5 billion RMB (approximately $490 million) in just three months, according to a report from investment media outlet Touzijie. The latest B2 funding round of 1 billion RMB attracted a wide range of top-tier investors, including sovereign wealth funds, industrial capital, and financial institutions. This brings the total funding for the young company, now valued over 10 billion RMB, to 3.5 billion RMB across three recent rounds. The company is led by Huang Guan, a post-90s Tsinghua University PhD with extensive experience in AI, autonomous driving, and entrepreneurship. Its core innovation is a "dual-pyramid" system comprising a five-layer data pyramid (from internet videos to real-world robot data) and a three-layer algorithm pyramid focused on world simulation, action alignment, and reinforcement learning. This system underpins its key models: the "World Action Model" (e.g., GigaBrain series for robot control) and the "World Generation Model" (e.g., GigaWorld series for simulating and understanding the physical world). Its models have reportedly achieved top rankings in global robotics benchmarks. Ji Jia Shi Jie argues that while current digital AGI excels in information processing, the next frontier is physical AGI—systems that can understand and interact with the real world. The company believes the field is approaching its "GPT-3 moment," a key inflection point in capability scaling. To achieve this, the company is pursuing a dual-market strategy. For the consumer (C) market, it launched the "SeeLight" brand and its S1 general-purpose humanoid robot, which has secured initial orders for deployment in real homes. For the business (B) market, it focuses on industrial automation with its Maker series robots, having signed agreements for large-scale deployment in factories, and its DriveDreamer world model for autonomous driving, which is already in use with over 30 automakers and tech companies. The report concludes that by bridging the gap between digital intelligence and physical action, Ji Jia Shi Jie aims to unlock a new wave of productivity, ultimately bringing physical AGI into everyday life.

marsbitHace 49 min(s)

Three Months, 35 Billion Yuan: Investors Rush to Grab the OpenAI of the Physical World

marsbitHace 49 min(s)

What's the Connection Between Pinduoduo's Huang Zheng and Blockchain?

This text explores the unexpected connection between Pinduoduo founder Colin Huang and blockchain, as suggested in his article *Turning Capitalism Upside Down*. Huang argues Pinduoduo's core business is about managing "uncertainty." He posits that wealth flows to the rich because they absorb life's uncertainties (e.g., illness, job loss) that devastate the poor, who pay a premium for certainty through insurance or stable prices. Pinduoduo's model attempts a "reverse insurance": by aggregating consumer demand via group-buying and flash sales, it creates a large, predictable order for manufacturers. This certainty allows factories to remove risk premiums, passing savings back as lower prices, thus partially reversing the wealth flow. The key obstacle, Huang notes, is that an individual's buying intent is an unreliable promise. He then asks if blockchain is the natural solution for this "reverse insurance." The text elaborates that blockchain, through smart contracts with binding deposits, could transform casual intent into a costly-to-break, enforceable commitment. This replaces interpersonal trust with coded rules, making promises credible, pricable, and resistant to fraud. Finally, the author draws a parallel to Bitcoin, framing two paths to creating certainty: the "Pinduoduo path" of aggregating decentralized will into scale, and the "Bitcoin path" of locking rules into immutable code. Both sacrifice something—personal freedom or system flexibility—to manufacture trust and predictability.

链捕手Hace 2 hora(s)

What's the Connection Between Pinduoduo's Huang Zheng and Blockchain?

链捕手Hace 2 hora(s)

The Storage Magnate Who Conquered a Trillion-Dollar Kingdom, Yet Ultimately Could Not Become the Richest

**Summary:** "The Memory Magnate Who Built a Trillion-Dollar Empire, Yet Never Became the Richest" explores the journey of Zhu Yiming, founder of GigaDevice (603986) and co-founder of the soon-to-IPO ChangXin Memory Technologies (CXMT). The article positions GigaDevice, a fabless chip designer now valued at ~¥340 billion, as a prequel to the massive IDM (Integrated Device Manufacturer) venture, CXMT. Starting in 2005 with minimal capital, Zhu strategically "picked up the pieces" by focusing on niche markets like NOR Flash and microcontrollers (MCUs), areas major players were exiting. This allowed GigaDevice to grow into a diversified semiconductor company, maintaining robust profitability even during industry downturns by controlling costs. However, the piece argues that in the highly cyclical and capital-intensive memory chip industry, the fabless model has limits. True resilience and scale require the ability for "counter-cyclical expansion" – investing heavily during downturns – a tactic only possible for IDMs like Samsung or SK Hynix. This insight led Zhu to partner with the Hefei city government in 2016 to establish CXMT, an IDM focused on DRAM. Zhu's symbolic moves, like forfeiting salary and diluting his equity, were crucial in securing the massive state and bank funding needed. CXMT's equipment base is now valued even higher than that of BYD's vast auto manufacturing empire. Despite the potential for CXMT to reach a market cap of ¥1-2 trillion upon its IPO, Zhu's indirect stake in both companies is estimated below 3%, placing his personal wealth far below that of China's top billionaires. The article concludes that his strategic vision built a trillion-yuan memory landscape, but the capital structure necessary to achieve it precluded a personal fortune of similar scale.

marsbitHace 2 hora(s)

The Storage Magnate Who Conquered a Trillion-Dollar Kingdom, Yet Ultimately Could Not Become the Richest

marsbitHace 2 hora(s)

Trading

Spot
Futuros
活动图片