The volume of "illiquid" BTC — those that are rarely sold or | Thomas Anderson on Binance Square

Trending Articles

Bookmarked and Liked

Thomas Anderson

--

The volume of "illiquid" BTC — those that are rarely sold or moved — has reached a record high, exceeding 14 million coins.
Historically, this is considered a positive signal for long-term price growth.
#BTC $BTC 

0 people tipped the creator.

Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.

BTC

101,995.66

-1.83%

716

0

Explore the latest crypto news

⚡️ Be a part of the latests discussions in crypto

💬 Interact with your favorite creators

👍 Enjoy content that interests you

Email / Phone number

Relevant Creator

Thomas Anderson

@Thomas_Anderson

Explore More From Creator

#TradingTopics US Dollar To Fall Significantly Against Chinese Yuan Amid Trade Negotiations, According to Goldman Sachs: Report Analysts at the financial giant Goldman Sachs reportedly think the onshore Chinese yuan (CNY) will rise against the dollar over the next 12 months. One US dollar is currently worth 7.2 CNY (USD/CNY), but Goldman forecasts that number will fall to 7.0 yuan per dollar over the next year, Bloomberg reports. A falling USD/CNY chart indicates that the yuan is appreciating against the dollar. Explain the investment bank’s analysts, “The undervalued levels of the currency, both on a real trade-weighted basis but especially versus the dollar, all point to the possibility for a stronger onshore yuan as a potential offset to tariff reductions.” The analysts had previously predicted the yuan would be at the 7.35 level over 12 months. The CNY is up 1.24% against the USD in the past month and 0.31% in the past five days. Analysts at BNP Paribas Asset Management echo Goldman and also predict the CNY will surge in value against the USD, according to Bloomberg. Rick Cheung, a fixed income portfolio manager at BNP, tells the news outlet that the yuan will have additional upside if the dollar continues to depreciate. “If China’s growth in the end surprises the market to reach let’s say more than 5% and even 5.5%, it’ll also provide a very good uptake potential.” China utilizes an onshore yuan (CNY) for domestic commerce and an offshore yuan (CNH) outside the mainland. More interesting news — subscribe $USDC

--

#CryptoNews CryptoQuant CEO Predicts Rise of "Dark Stablecoins" Ki Young Ju, CEO of CryptoQuant, claims that due to upcoming regulations, dark stablecoins — alternatives not under government control — will gain popularity, as people will use them for large international transfers and other use cases that may attract scrutiny. The growing importance of stablecoins and the current race to establish rules for their usage may contribute to the emergence of a new market. CryptoQuant CEO Ki Young Ju has predicted the rise of what he calls “dark stablecoins,” a new form of dollar-pegged money perceived as resistant to censorship. Young Ju stated that as current stablecoins become more regulated, they will lose the appeal that made many people use them as a substitute for the U.S. dollar. He explained that companies like Circle and Tether have been able to store their assets in banks and with institutions, with the government not intervening unless it involved criminal activity. However, with the possible implementation of direct blockchain verification methods — including tax collection through smart contracts and freezing of funds based on government regulations — this is expected to change, prompting the emergence of dark stablecoins that can meet various use cases. Young Ju explains that dark stablecoins can be programmed in two different ways: by using algorithms to maintain the peg to the U.S. dollar — although most of these stablecoins (including TerraUSD) have failed in the past — and by using stablecoins issued by countries that do not censor financial transactions. Tether could also play a role in this new chapter of stablecoin evolution if it chooses not to cooperate with the U.S. government. “If Tether decides not to comply with U.S. government policies under a future Trump administration, it could become a dark stablecoin in an era of increasing internet censorship,” Young Ju emphasized. More interesting news — subscribe $USDC

--

#ShortMaestro The whale with a high win rate on short trades is back. Previously, this "whale" took short positions and almost always ended up in profit. Now, he has opened a short on Bitcoin. Entry: 104,300, liquidation at 105,340. Position size: $150 million.

--

#memecoin🚀🚀🚀 ❗️The meme coin Truth Social will launch within the next 72 hours. The team resembles that of $TRUMP — founded by a member of Crypto Banter. More interesting news — subscribe

--

#OpenAI The concept of neural networks was invented back in 1943, long before ChatGPT, Midjourney, and other "magical AI" systems. Two scientists — McCulloch and Pitts — described how a neuron could be modeled using a formula. Computers barely existed, yet they were already dreaming of machine intelligence. 🔴 1943 — Warren McCulloch and Walter Pitts create the first mathematical model of a neuron. Pure theory. 🔴 1957 — Frank Rosenblatt builds the Perceptron — the first trainable neural network, running on a military computer. 🔴 1969 — Minsky and Papert prove that the Perceptron is too limited. Interest in the topic dies out for decades. 🔴 1986 — Hinton and colleagues revive interest in neural networks by proposing the backpropagation algorithm. 🔴 1990s–2000s — A lull. Neural networks work, but slowly and inefficiently. Few data, weak hardware. 🔴 2012 — AlexNet (Hinton again) wins the ImageNet competition. The modern era of deep learning begins. 🔴 2014 — VGG16: deeper, simpler, more powerful. A network with 3×3 convolutions and 16 layers becomes a classic and the foundation for many models. 🔴 2017 — The Transformer architecture (paper Attention is All You Need by a Google team). Instead of recurrent networks — pure attention (self-attention), which led to a major leap in training speed and quality. This is the foundation for BERT, GPT, T5, LLaMA, and nearly all modern language models. 🔴 2018+ — GPT, Midjourney, voice AIs, bots, agents, memes. Neural networks are everywhere. The idea is over 80 years old, but it truly took off only with the advent of powerful GPUs, big data, and the internet. More interesting news — subscribe

--

Latest News

Binance Wallet TGE #17 Launches Alaya AI (AGT): Subscription Opens May 16

--

Introducing Solayer (LAYER) on Binance BNSOL Super Stake — Earn LAYER Airdrop Rewards With BNSOL Holdings

--

Al Abraaj Restaurants Group Adopts Bitcoin Financial Strategy

--

BNB Surpasses 650 USDT with a 0.65% Decrease in 24 Hours

--

Sonic Labs Receives Court Approval to Liquidate Multichain Foundation

--

Trending Articles

⚠️ Global Markets on High Alert! Powell Set to Speak Soon! �

Lasandra Cid Wr93

Pi Network Drops 33%, Falls Below $1 Amid Accusations of Betrayal From Community

Kya $PEPE ka $1 tak jana mumkin hai? Sachai ya Sirf Sapna?

Noob to pro trader

THE UGLY TRUTH ABOUT CRYPTO TRADING (Nobody Dares to Admit)

XRP Price Prediction: Why This Week Could Be Pivotal for Ripple Investors

Crypto Daily™

Cookie Preferences

Cookie Preferences