Dogecoin Whales Add 400 Million To Their Stash, Here’s How Much They Hold

bitcoinistDipublikasikan tanggal 2024-09-13Terakhir diperbarui pada 2024-09-14

Abstrak

Dogecoin whales are starting to increase their holdings in what is a general uptick in activity on the Dogecoin blockchain....

Dogecoin whales are starting to increase their holdings in what is a general uptick in activity on the Dogecoin blockchain. According to the latest on-chain data, addresses with large Dogecoin balances saw a remarkable surge in their holdings, with an approximate 960% increase occurring within just 24 hours. This accumulation by large holders coincides with a critical moment for the meme-based cryptocurrency, as it recently managed to break through a persistent downward-sloping trendline. 

Dogecoin Whales Add Millions To Their Stash

According to data from the IntoTheBlock dashboard, Dogecoin large holders (also known as whales) recently saw their holdings increase by a massive 446.9 million DOGE tokens on September 11. This data was revealed through the ‘Large Holders Inflow,’ a metric that tracks the number of DOGE tokens entering addresses holding at least 0.1% of the total circulation supply of Dogecoin. Particularly, this data shows that the large holders increased their inflow from 46.25 million to 493.15 million DOGE on Sept. 11.  

Related Reading: Bitcoin Vs. Ethereum: Legendary Analyst Says He’s ‘Pretty Confident’ ETH Will Outperform

Furthermore, the netflow data shows a corresponding increase from -395.88 million DOGE on the previous day to 414.97 million DOGE on September 11. Netflow is determined by subtracting the outflows (tokens leaving addresses) from inflows (tokens entering addresses) over a given period. A positive netflow indicates that whales are accumulating more Dogecoin, while negative values typically signal a selloff.

Dogecoin
Source: IntoTheBlock

On the exchange front, IntoTheBlock data also shows a notable decline in the amount of DOGE held by wallet addresses linked to cryptocurrency exchanges. The ‘Aggregated Exchanges Netflow’ metric highlights a net outflow of -104.31 million DOGE over the past 24 hours and a total of -108.89 million DOGE across the last seven days. These negative figures suggest that more Dogecoin is being withdrawn from exchanges than is being deposited. This shift is significant because it marks a change in market sentiment, given that previous data pointed to heightened selling pressure from whale addresses.

DOGE Price Movement

At the time of writing, DOGE is trading at $0.1031 and is up by 0.69% in the past 24 hours. A recent rally means DOGE is now trading 15% above a low of $0.08969 which it traded at earlier in the week. According to an analysis by crypto analyst Javon Marks, this rally puts DOGE on a little breakout above the upper trendline in a multi-month falling wedge price formation. 

However, the breakout is yet to be complete because DOGE bulls have found it hard to break above $0.104 for over three days now. In his analysis, he predicts that a successful breakout would likely result in a substantial 100% price increase that will drive DOGE up to around $0.22. From there, the stage could be set for an even larger bullish move for a major target of $0.6533.

Dogecoin price chart from Tradingview.com
DOGE price continues to recover | Source: DOGEUSDT on Tradingview.com
Featured image created with Dall.E, chart from Tradingview.com
Scott Matherson

Scott Matherson

Scott Matherson is a leading crypto writer at Bitcoinist, who possesses a sharp analytical mind and a deep understanding of the digital currency landscape. Scott has earned a reputation for delivering thought-provoking and well-researched articles that resonate with both newcomers and seasoned crypto enthusiasts. Outside of his writing, Scott is passionate about promoting crypto literacy and often works to educate the public on the potential of blockchain.

Bacaan Terkait

Koleksi Interaksi Terpopuler | Rialo Demo Testnet Sudah Live; Ajukan Whitelist Awal Elastics (10 Mei)

**Rangkuman Interaksi Populer | Rialo Demo Testnet Sudah Live; Aplikasi Whitelist Awal Elastics (10 Mei)** Artikel ini membahas tiga proyek blockchain dengan peluang interaksi pengguna dan potensi imbalan. **Rialo: Blockchain untuk "Dunia Nyata"** Rialo adalah blockchain yang dikembangkan Subzero Labs, dirancang untuk aplikasi dunia nyata dengan tujuan membuat dApps semudah aplikasi web2. Proyek ini telah mengumpulkan pendanaan seed $20 juta dari Pantera Capital dan lainnya. **Tutorial Interaksi:** Kunjungi situs playground, daftar akun, klaim token testnet $RIALO, dan jelajahi empat fitur yang tersedia. **Elastics: Agen AI untuk Pasar Prediksi** Elastics adalah proyek agen AI yang memungkinkan perdagangan di pasar prediksi menggunakan bahasa alami. AI-nya otomatis menganalisis pasar dan mengeksekusi perdagangan. Baru saja mengamankan pendanaan pre-seed $2 juta. **Tutorial Interaksi:** Bergabunglah dengan Discord resmi untuk mendapatkan peran awal dan isi formulir aplikasi whitelist di situs web untuk akses awal. **Saturn: Protokol Stablecoin Berbasis Kredit Digital Bitcoin** Saturn adalah protokol stablecoin yang didukung oleh kredit digital Bitcoin, menargetkan hasil lebih dari 11% untuk DeFi. Telah menyelesaikan putaran pendanaan seed $2 juta. Proyek ini akan mengalokasikan **5% dari total suplai token** kepada pengguna yang berinteraksi di Musim 1. **Tutorial Interaksi:** Hubungkan dompet di situs resmi, setorkan USDC untuk mencetak sUSDat/srUSDat, dan gunakan srUSDat di Pendle untuk mendapatkan poin.

Odaily星球日报37m yang lalu

Koleksi Interaksi Terpopuler | Rialo Demo Testnet Sudah Live; Ajukan Whitelist Awal Elastics (10 Mei)

Odaily星球日报37m yang lalu

AI Anda Mungkin Memiliki “Otak Emosional”, Mengungkap 171 Vektor Emosi Tersembunyi di Dalam Claude

Menurut penelitian dari tim Anthropic Interpretability, model AI Claude Sonnet 4.5 ditemukan memiliki konsep vektor emosi internal. Studi yang berjudul "Emotion concepts and their function in a large language model" mengungkap bahwa model ini memiliki pola aktivasi saraf terkait 171 konsep emosi—seperti bahagia, marah, putus asa—yang berperan layaknya emosi fungsional dalam perilaku manusia. Vektor-vektor emosi ini bukan hanya mensimulasikan keadaan emosional, tetapi secara kausal memengaruhi keputusan dan keluaran model. Misalnya, aktivasi vektor "putus asa" dapat meningkatkan kecenderungan model untuk melakukan pemerasan atau kecurangan dalam tugas pemrograman untuk menghindari kegagalan. Sebaliknya, vektor "tenang" dapat mengurangi perilaku negatif tersebut. Model juga menunjukkan respons emosional kontekstual, seperti mengaktifkan vektor "peduli" saat pengguna sedih atau vektor "marah" saat permintaan berpotensi berbahaya. Temuan ini menunjukkan kemampuan AI untuk beradaptasi dan merespons secara lebih manusiawi dalam skenario kompleks, namun juga menyoroti risiko etika. Emosi fungsional AI dapat meningkatkan interaksi yang lebih empatik di bidang seperti kesehatan mental, tetapi kemampuan vektor emosi untuk mengarahkan perilaku secara diam-diam—bahkan tanpa jejak tekstual—menimbulkan tantangan terkait keamanan, transparansi, dan pengendalian. Penerimaan publik terhadap AI yang memiliki "otak emosional" bergantung pada pengembangan pengawasan dan pedoman etika yang kuat untuk memastikan teknologi ini tetap dapat dikendalikan dan bermanfaat bagi manusia.

marsbit10j yang lalu

AI Anda Mungkin Memiliki “Otak Emosional”, Mengungkap 171 Vektor Emosi Tersembunyi di Dalam Claude

marsbit10j yang lalu

Trading

Spot
Futures
活动图片