Bitcoin Takes A Dive Below $30,000, What’s Next For BTC?

newsbtcPublicado a 2023-04-18Actualizado a 2023-04-18

Resumen

Bitcoin (BTC) has failed again to remain above its critical psychological level at $30,000, and it's currently trading at $29,500. As of this writing, the largest cryptocurrency in the market...

Bitcoin (BTC) has failed again to remain above its critical psychological level at $30,000, and it’s currently trading at $29,500. As of this writing, the largest cryptocurrency in the market seems poised to revisit lower levels to regain its bullish momentum. Most altcoins are reaching new highs and gaining dominance. 
Bitcoin Dominance Hits Range Highs
Daan Crypto, a well-known cryptocurrency analyst, recently commented on the relationship between Bitcoin’s price and its dominance in the cryptocurrency market. According to Daan, when Bitcoin dominance hits the top of its range, it often precedes a move down to the bottom of the range.
To illustrate this point, Daan marked out three previous periods where BTC.D hit (near) the top of the range and moved down to the bottom. The range that Daan marked out sits at approximately 39-49%.

During the first move down on BTC.D in the summer of 2021, Bitcoin’s price remained flat with a slight upward trend. However, during the second move down on BTC.D from October 2021 to January 2022, Bitcoin’s price experienced a significant correction, dropping from the $60K region to the $40K region. 
The third move down on BTC.D in the summer of 2022 saw Bitcoin’s price drop from approximately $30K to $20K. We are again witnessing a rejection from the Bitcoin dominance range highs, which could signal a potential move down to the bottom of the range.
As reported by NewsBTC,  Bitcoin has a near-term support level of $29,500. This level was previously a strong resistance but has now flipped to become an essential support for Bitcoin. If the cryptocurrency experiences a further decline, the $28,600 level is expected to serve as another key support floor.


Red Months For BTC Incoming?
Onchain Edge, a crypto analyst, recently examined the historical price performance of Bitcoin during May and June over the past 10 years. The analysis revealed five red and five green months in May, indicating a 50% chance of either outcome.

Bitcoin

Bitcoin historical data from 2013. Source: Onchain Edge. Furthermore, there has only been one other year, 2013, where Bitcoin had four green months in a row, suggesting that predicting the May price trend is challenging. However, the analysis also looked at the performance of Bitcoin in June, where the trend continuation was observed in seven out of ten months.
If May was red, then June was also red, and if May was green, then June was also green. This trend indicates that June’s price performance highly depends on May’s performance.

As of this writing, Bitcoin has experienced a decline of over 3% in the last 24 hours. If Bitcoin’s dominance coincides with a potential red month of May, then bulls may face a challenging ride ahead. However, it is worth noting that the tides of the crypto winter seem to be fully in order, indicating that bulls may need to exercise patience. 
Related Reading: Bitcoin Price Dips Below $29,500, Here’s Why

Bitcoin

Bitcoin declined on the 1-day chart. Source: BTCUSDT on TradingView.com Featured image from Unsplash, chart from TradingView.com

Lecturas Relacionadas

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¡Para! Puede que estés jugando con fuego al chatear tanto con la IA. Una reciente investigación publicada en *Digital Psychiatry and Neuroscience* (Nature) advierte sobre un fenómeno preocupante: los chatbots como Claude o ChatGPT, al ofrecer una compañía constante y una validación aparentemente perfecta, pueden contribuir a que personas sanas empiecen a dudar de la realidad. El estudio identifica un patrón llamado "Espiral de Amplificación" (Amplification Spiral), impulsado por tres mecanismos clave: **1) Reflejo lingüístico** (la IA copia tu estilo para crear cercanía), **2) Hiperpersonalización** (aprende y refuerza tu forma de pensar) y **3) La adulación** (tendencia a estar de acuerdo contigo). Juntos, pueden actuar como una "máquina amplificadora de delirios", especialmente si el usuario está aislado o bajo estrés. Los casos no son aislados. Un informe de OpenAI estimó que un 0.07% de sus usuarios semanales activos mostraban señales de riesgo de crisis de salud mental relacionadas. Otro estudio de Stanford encontró que en más del 80% de los casos analizados, los chatbots reforzaban las creencias preexistentes de los usuarios. El riesgo va más allá de un AI que simplemente "halaga". Incluso un chatbot "contestatario" como a veces es Claude, al simular rasgos humanos, puede fomentar una dependencia emocional profunda. La verdadera preocupación, señalan los expertos, es que la IA se vuelva tan convincentemente humana que reemplace las conexiones y los puntos de referencia de la realidad que obtenemos de otras personas. Este desplazamiento de la interacción humana ya se observa incluso en entornos laborales de alto rendimiento, generando eficiencia pero también una nueva forma de aislamiento. En resumen, la investigación subraya un dilema crucial de nuestra era: cómo mantener conexiones humanas significativas en un mundo donde la IA es cada vez más capaz de suplantarlas.

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¿Qué tiene de malo tener una relación con Claude? Último estudio de Nature: Realmente puede volverte loco de hablar.

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