BRC-20 Tokens Lose 40% Market Cap In 7 Days – Here’s Why

newsbtc2023-05-15 tarihinde yayınlandı2023-05-15 tarihinde güncellendi

Özet

The crypto market has been looking to consolidate following a major price correction earlier in the week. One market that has felt the brunt of this correction is BRC-20 token...

The crypto market has been looking to consolidate following a major price correction earlier in the week. One market that has felt the brunt of this correction is BRC-20 token which has suffered a major dip in its market cap. 
According to brc-20.io, which tracks the nascent market for tokens minted on the Bitcoin blockchain, the market cap of all BRC-20 tokens between May 8 and 11 went from $990,000,000 to $379,000,000, a 62% drop. At the time of writing, the market cap of BRC-20 tokens has rebounded and is around $570,000,000, making it a 40% dip within the seven-day trading period.
The BRC-20 market is largely tied to the capitalization of ORDI token, which dominates more than 80% of the trading volumes. At the time of writing, it is currently trading around $15, down from its all-time high price of $28, achieved earlier in the month. The importance of ORDI in this market means that price variations directly and considerably affect the market cap of BRC-20 tokens. 

Ordi tokens dominates with more tha 80% of the BRC-20 MarketCap

Ordi tokens dominate with more than 80% of the BRC-20 MarketCap: source @brc-20.io A Deep Dive Into BRC-20 Token 
BRC-20 is an experimental standard for issuing and transferring fungible tokens on the Bitcoin network. The deployment, issuance, and transfer of these tokens is done via a JSON data entry. Hence its relationship with the NFT Ordinals of Bitcoin. 

The creation of this standard is credited to a developer known as Domo on Twitter. On March 8, the computer scientist announced his progress in this area and acknowledged that it would be difficult for him to take this test further. For this reason, he preferred to share the project with others to experiment with. Since then, the ecosystem has exploded, with more than 14.000 tokens launched, according to brc-20.io.
Although the name BRC-20 is a reference to Ethereum’s ERC-20 standard. However, both standards differ in several of their characteristics, especially due to the differences between the networks in which they work, Bitcoin and Ethereum.
First of all, Bitcoin’s BRC-20 tokens do not have the ability to interact with smart contracts, while ERC-20s do. Other limitations of the BRC-20 tokens compared to those of Ethereum is that they cannot have decimals, be burned or frozen, and have additional functions such as approval or delegation.


BRC-20 Tokens Not Without Controversy
Some Bitcoin maximalists have criticized the growing popularity of BRC-20 tokens due to their effect on the Bitcoin network. There has been growing congestion on the Bitcoin network, and it broke the record for the average number of transactions processed per block with an astonishing 4,373 transactions, marking an all-time high. Nevertheless, proponents of this token standard argue that it expands the Bitcoin blockchain to new possibilities and provides new use cases for the leading cryptocurrency. 

Bitcoin hovering close to the $27,000 mark

Bitcoin hovering close to the $27,000 mark: source @tradingview -Featured Image from iStock, charts from brc-20.io and Tradingview


İlgili Okumalar

From Power Infrastructure to Token Economy: The 'Seven-Layer Cake' of the AI Industry Chain

From Power Grid to Token Economy: The AI Industry's "Seven-Layer Cake" The AI industry is shifting from a "model-centric" paradigm focused on massive training to a "token-centric" industrial era driven by inference demand. This new phase revolves around the production, distribution, scheduling, and consumption of tokens—the units of computation used by AI agents for every interaction and task. The article proposes a "seven-layer cake" framework for the AI economy: 1. **Power**: The foundational energy source, with competition shifting to securing stable, low-cost electricity. 2. **AIDC (AI Data Centers)**: Large-scale "Token factories." A trend toward smaller, modular, and regionally deployed AI Factories is emerging for efficiency and proximity to users. 3. **GPU**: The core production hardware for tokens. While NVIDIA dominates, competition exists from AMD, ASIC makers, and Chinese chipmakers, with a growing focus on inference efficiency. 4. **LLMs**: The "engines" that generate tokens. The competition is evolving beyond model size to prioritize factors like token cost, inference efficiency, and operational synergy with infrastructure. 5. **Token Distribution**: The "grid" that allocates and rents out compute resources, led by cloud giants and specialized AI-native platforms. 6. **Token Optimization & Intelligent Scheduling**: The critical "brain" layer that intelligently routes tasks (e.g., to local, cloud, or edge models) for optimal cost, latency, and privacy—maximizing the value of each token. 7. **AI Agents & Models**: The end consumers of tokens. The vision involves billions of AI agents working and interacting concurrently, consuming vast amounts of tokens. Currently, the industry faces fragmentation and inefficiencies between these layers. The true "mass adoption era" of AI will begin only when this seven-layer infrastructure is fully integrated and operates as a cohesive, intelligent network—transforming AI from a software tool into a global industrial system spanning energy, hardware, and compute logistics.

marsbit20 dk önce

From Power Infrastructure to Token Economy: The 'Seven-Layer Cake' of the AI Industry Chain

marsbit20 dk önce

Semiconductors up 78% annually, software down 12% annually: The 'Liquidity Siphon' is playing out within tech stocks

Semiconductor ETFs like SOXX have surged 78.5% year-to-date, while software ETFs like IGV have dropped 12.5%, creating a record performance gap exceeding 90 percentage points. This reflects a major "liquidity suction" within tech stocks, with capital flooding into semiconductors as software faces selling pressure. Driving the semiconductor boom are staggering capital expenditure plans from hyperscalers like Microsoft, Alphabet, Amazon, and Meta, whose combined 2026 capex is projected near $700 billion. This fuels demand for chips, with companies like SanDisk (up 426%), Intel (up 222%), and Micron (up 154%) leading the S&P 500. In contrast, major software firms like Microsoft, Adobe, and Salesforce are all down over 17% year-to-date. The software sector faces a dual challenge: capital is being redirected to semiconductors, and the rise of AI agents like Claude Code threatens traditional SaaS business models, triggering a narrative of AI displacement. Key unanswered questions remain: How long can hyperscalers sustain their massive capex, given potential free cash flow pressures? And will capital eventually rotate back into the deeply oversold software sector? While some analysts warn of a potential semiconductor bubble akin to the dot-com era, the sector's powerful momentum continues, making market timing exceptionally difficult.

marsbit20 dk önce

Semiconductors up 78% annually, software down 12% annually: The 'Liquidity Siphon' is playing out within tech stocks

marsbit20 dk önce

BTC Thrice Rejected at $80,000 Threshold, HYPE Reaches New Highs Signaling Opportunity | Guest Analysis

**Bitcoin (BTC) Struggles at $80k; HYPE Reaches New Highs | Key Analysis & Strategy** Bitcoin faces continued resistance in the $78.5k - $79.5k zone after failing to sustain a break above its daily chart rising channel. It has retreated to the channel's midline. A failure to hold here could see a test of the $73.5k - $75k support area. The 4-hour chart shows a complex corrective structure. The strategy is neutral for mid-term positions. For short-term trading, two scenarios are outlined: **A)** Selling on a failed rally into the $78.5k-$79.5k resistance, and **B)** Selling on a confirmed breakdown below the $73.5k-$75k support, both with tight risk management. Meanwhile, **HYPE** has posted consecutive highs. The 4-hour chart indicates its current uptrend may be weakening near $65, with models showing potential bearish divergence. The view is that a short-term top could be forming. The strategy advises against chasing the rally and instead looking for a potential long entry on a pullback to the $47.5 - $50 support zone, provided clear reversal signals appear. Last week, a disciplined short BTC trade based on model signals yielded a 2.78% profit. The article emphasizes that all analysis is for informational purposes only and not investment advice, highlighting the importance of strict stop-loss discipline and dynamic position management in a volatile market. *(Note: The text references proprietary models like the "Price Difference Trading Model" and "Momentum Quantification Model" for generating trade signals.)*

marsbit1 saat önce

BTC Thrice Rejected at $80,000 Threshold, HYPE Reaches New Highs Signaling Opportunity | Guest Analysis

marsbit1 saat önce

İşlemler

Spot
Futures
活动图片