[strong data] short positions broke us $588 million, BTC bulls still accounted for a large proportion

Huobi ResearchPublicado a 2022-03-29Actualizado a 2022-03-30

Resumen

The stock of BTCs in the exchange fell to 2.315 million BTCs on March 28.

This column combs the trading status of the spot market and futures market within the day, and analyzes the trading performance of BTC and the overall market. Help investors tap effective trading signals.

Market view

During the continuous rebound of mainstream currencies such as BTC and eth, they have touched the cost price of investors in the past year. At present, the majority of investors trading in the past year have made profits, which has enhanced the driving force of the market to further rise. The current trend is favorable for bulls, and the contract position has reached a recent high, indicating that the willingness to do long has increased.

goods in stock

1. Stock exchange BTC

The stock of BTCs in the exchange fell to 2.315 million BTCs on March 28. From the change of BTC stock in the exchange, the outflow increased from February to March, indicating that the selling pressure of BTC continues to reduce. Although there are signs of rebound in BTC stock recently, there is little room for rebound. The BTC stock of the exchange retreated after reaching 231.98, indicating that the BTC selling pressure decreased after a slight increase, and the short-term trend is more BTC.

2. Market value and trading volume of the whole network

In the past 24 hours, the overall market trading volume was US $125.43 billion, and the overall market value increased by 1.5% to US $224.06 billion. Focus on the trading volume and market value performance of the overall market in the past three months. The market value fluctuation space of the whole network is between us $16423.3 billion and US $2387.7 billion, and the current market value is almost the highest in three months. In the form of continuous changes in market value, it is shown as double bottom reversal, which improves the bullish signal.

contract

Contract transactions in mainstream currencies such as BTC can find spot prices and improve the direction of price operation. At the same time, it can also provide hedging methods for spot investors. Analyzing the long and short position direction, position change and leverage performance of the contract can help us confirm the trading signal.

1. Statistics of warehouse explosion in the whole network

The number of open positions indicates the effect of the release of market resistance during the price operation. The larger the number of open positions, the greater the reverse capital strength. After a short period of time, the excessively high position explosion amount can also prompt the price reversal signal. Because the fund increases the number of positions in the opposite direction in a short time, promoting the reverse operation of the market in a short time.

Network wide contract explosion

On March 29, the empty single explosion warehouse of the whole network contract reached US $62 million, and the multi single explosion warehouse of the whole network reached US $11 million. In the three trading days since March 27, the scale of empty single position explosion reached US $244 million, US $313 million and US $31 million. In the same period, the scale of multiple single position explosion was US $62 million, US $179 million and US $11 million. The accumulated position explosion of empty orders is US $588 million, which means that the strength of bulls is strong, and the market has shown a unilateral trend in the near future.

2. Statistics of positions and turnover of the whole network

The contract trading volume of the whole network was stable. The position rebounded to US $42 billion on March 29, up 46.5% from the lowest US $28.67 billion on January 23; The turnover was 140 billion US dollars. It is worth noting that the contract position is the highest level in one year, indicating that the overall market heat is growing continuously.

3. Statistics of long and short positions of the exchange

The proportion of long and short positions in the exchange intuitively reflects the strength of long and short positions, and the dynamic proportion of long and short positions better verifies the trading signal. When multiple positions account for a large proportion, it indicates that the buyer has strong strength, and the BTC price is easy to rise but difficult to fall. On the contrary, the short strength is strong, suggesting a short signal.

On March 29, the proportion of multiple empty orders in BTC was 1%, the proportion of multiple orders was 50.06%, and the proportion of empty orders was 49.94%. The multi-party dominance has continuously dominated since March 22, driving the BTC price to continue to rise. At present, there is a slight decline in the proportion of BTC bulls, and attention can be paid to low absorption opportunities in the short term.

4. Contract capital rate

The higher the contract capital rate, the more information the bulls have about the price rise. The latest capital rate value of BTC shows that the fluctuation space of capital rate since 2022 is small, and the financing cost on more trading days is lower than 0, which means that the cost of financing for investors to buy BTC is very low.

Driven by low purchase costs, BTC price shocks stabilized. At the same time, financing costs also showed signs of a slight recovery. The latest financing cost on the 29th of March reached 0.0085. In absolute terms, the value is much lower than the level before November 4, 2021. This shows that the main capital has a low enough cost advantage to buy BTC and push up the price increase.

Lecturas Relacionadas

a16z Deep Dive: Stop Chasing the 'AI Smell', Here's a Practical Guide to Writing with AI

"Don't Obsess Over AI Detection: A Practical Guide to Writing Alongside AI" by Steph Zinn (a16z Crypto) This guide moves beyond the flawed premise that AI-generated text can be easily spotted by a set of "tells" and that these features automatically mean poor quality. Instead, it focuses on how writers and founders can use LLMs effectively by understanding, controlling, and editing the common stylistic tendencies of AI-assisted prose. The article breaks down AI writing "tells" into four key dimensions: **1. Rhetorical Features (Insight-Shaped Writing):** AI often produces semantically empty, "corporate-sounding" filler language—vague profundities, hedging phrases, excessive parallelism, and summary statements. The advice is to ruthlessly edit these out, using prompts to make language more specific and direct. **2. Voice Features (The Alexa Voice):** Default AI writing relies on a narrow, fungible vocabulary of low-friction, abstract words and cliché phrases that lack personality. While this generic voice is acceptable for support docs or mass communications, founders should preserve their unique voice for impactful writing. Use LLMs to identify and replace jargon, aiming for concrete, distinctive word choices. **3. Structural Features (Form Without Function):** AI tends towards over-structured text with excessive subheadings, lists, roadmaps, and the rigid "three-point" framework. While clear structure is good for readability and SEO, it shouldn't force ideas into unnatural containers. Choose a structure that serves the format and purpose, borrowing from effective examples. **4. Punctuation Features (Dash Panic):** The overuse of em dashes and colons has become a hallmark, but writers shouldn't avoid useful punctuation just to seem "human." The key is avoiding repetitive, distracting patterns. Use punctuation that is grammatically correct and supports the flow of your argument. The core argument is that many so-called AI flaws are just amplified versions of existing bad writing habits. The goal isn't to eliminate AI's role but to use it as a tool while maintaining editorial control. The final question shouldn't be "Can this be detected as AI?" but "Does this writing effectively do its job?"

marsbitHace 22 min(s)

a16z Deep Dive: Stop Chasing the 'AI Smell', Here's a Practical Guide to Writing with AI

marsbitHace 22 min(s)

Podcast Notes | Conversation with Tom Lee: Bitmine Acquiring Nearly 5% of Total ETH Supply Is Not the End Goal, ETH Price Target Set at $10,000

In a podcast interview, Tom Lee, Chairman of BitMine Immersion Technologies, discusses the company's strategy to accumulate nearly 5% of the total Ethereum supply within 14 months, using equity financing and avoiding debt. BitMine has consistently purchased ETH for over 60 consecutive weeks, with recent weeks combining buybacks with purchases. The company's substantial ETH holdings generate approximately $300 million in annual staking rewards, covering operational costs like the dividends for its 9.5% perpetual preferred stock (BMNP). Lee positions ETH as a store-of-value asset, likening it to stocks or land, rather than a pure cash-flow instrument. Looking ahead, Lee suggests BitMine may continue buying beyond the 5% target if institutional adoption grows. He outlines a bullish price target for ETH: surpassing $5,000 in a new crypto bull cycle and potentially exceeding $10,000 within 1-2 years, driven by Wall Street tokenization and AI-related demand. The discussion also covers BitMine's evolution into an ecosystem player, funding Ethereum Foundation spin-offs and developing its Maven staking platform. Lee acknowledges his significant financial interests are tied to ETH's price and BitMine's performance. The interview provides a framework for evaluating ETH as a long-term asset, emphasizing staking yield sustainability and future institutional demand, while noting the uncertainties surrounding macro cycles and real-world adoption.

marsbitHace 22 min(s)

Podcast Notes | Conversation with Tom Lee: Bitmine Acquiring Nearly 5% of Total ETH Supply Is Not the End Goal, ETH Price Target Set at $10,000

marsbitHace 22 min(s)

Pricing Risk Assets in 8 Hours: Tonight's PCE to Set the Discount Rate, Nvidia to Test Earnings Tomorrow Morning

"Pricing Risk Assets in 8 Hours: PCE to Set the Discount Rate Tonight, NVIDIA to Test Profits Tomorrow Morning" Risk asset prices hinge on two variables: the numerator (earnings expectations) and the denominator (the discount rate). Both will be recalibrated within eight hours. First, at 20:30 Beijing time, the US Bureau of Economic Analysis releases July PCE inflation data and the second estimate of Q2 GDP. Consensus expects mild core PCE growth, but a surge in key PPI components poses an upside risk. A hotter-than-expected print could push Treasury yields and the dollar higher, threatening the recent rally in Bitcoin (BTC) above $80K, which was fueled by falling yields. A benign reading would support risk assets. Market sentiment is already "greedy" (Fear & Greed Index at 74), making it vulnerable to disappointment. Second, around 04:20, NVIDIA reports its Q2 FY27 earnings. While consensus revenue of ~$91.85B slightly exceeds company guidance, the market has priced in a beat. The key will be the magnitude of the beat and, crucially, the Q3 guidance. As a bellwether for tech and AI narratives, NVIDIA's results will significantly impact overall risk appetite and AI-related crypto tokens. The combination creates four scenarios: 1) Benign PCE & strong NVIDIA guidance confirms the bullish trend. 2) Hot PCE & strong NVIDIA leads to conflicted signals and likely volatility for BTC. 3) Benign PCE & weak NVIDIA guidance pressures tech but offers some macro support for BTC. 4) Hot PCE & weak NVIDIA guidance presents a "double whammy," risking a sharp pullback in BTC toward the $75K-$76K support zone. The outcomes will set the tone for markets ahead of the upcoming Jackson Hole symposium.

marsbitHace 55 min(s)

Pricing Risk Assets in 8 Hours: Tonight's PCE to Set the Discount Rate, Nvidia to Test Earnings Tomorrow Morning

marsbitHace 55 min(s)

Trading

Spot
活动图片