Bitget: ¡En el Top 4 por volumen de trading diario global!
Cuota de mercado de BTC60.67%
Nuevos listados en Bitget:Pi Network
Índice de la temporada de altcoins:0(Temporada de Bitcoin)
BTC/USDT$83535.01 (-1.93%)Índice de miedo y codicia31(Miedo)
Flujo neto total de ETF en spot de Bitcoin +$165.7M (1d); +$480.1M (7d). Monedas listadas en el pre-mercadoPAWS,WCTPaquete de obsequios de bienvenida para nuevos usuarios por valor de 6.200 USDT.Reclamar ahora
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Bitget: ¡En el Top 4 por volumen de trading diario global!
Cuota de mercado de BTC60.67%
Nuevos listados en Bitget:Pi Network
Índice de la temporada de altcoins:0(Temporada de Bitcoin)
BTC/USDT$83535.01 (-1.93%)Índice de miedo y codicia31(Miedo)
Flujo neto total de ETF en spot de Bitcoin +$165.7M (1d); +$480.1M (7d). Monedas listadas en el pre-mercadoPAWS,WCTPaquete de obsequios de bienvenida para nuevos usuarios por valor de 6.200 USDT.Reclamar ahora
Tradea en cualquier momento y lugar con la app de Bitget. Descargar ahora
Bitget: ¡En el Top 4 por volumen de trading diario global!
Cuota de mercado de BTC60.67%
Nuevos listados en Bitget:Pi Network
Índice de la temporada de altcoins:0(Temporada de Bitcoin)
BTC/USDT$83535.01 (-1.93%)Índice de miedo y codicia31(Miedo)
Flujo neto total de ETF en spot de Bitcoin +$165.7M (1d); +$480.1M (7d). Monedas listadas en el pre-mercadoPAWS,WCTPaquete de obsequios de bienvenida para nuevos usuarios por valor de 6.200 USDT.Reclamar ahora
Tradea en cualquier momento y lugar con la app de Bitget. Descargar ahora
Relacionado con la moneda
Calculadora de precios
Historial de precios
Predicción de precios
Análisis técnico
Guía de compra de la moneda
Categoría cripto
Calculadora de ganancias
Relacionado con el trading
Comprar/vender
Depositar/retirar
Spot
Margen
Futuros USDT-M
Futuros Coin-M
Bots de trading
Copy trading
Earn
Pre-mercado
Actualizaciones de la moneda
Noticias de Sonic (prev. FTM)
Alerta de Sonic (prev. FTM)
Calendario de eventos
ICO
Airdrop

Precio de Sonic (prev. FTM)S
Listada
Moneda de cotización:
EUR
€0.4516-6.68%1D
Gráfico de precios
TradingView
Última actualización el 2025-03-21 13:27:19(UTC+0)
Capitalización de mercado:€1,300,677,284.56
Capitalización de mercado totalmente diluida:€1,300,677,284.56
Volumen (24h):€116,415,018.7
Volumen en 24h/Capitalización de mercado:8.95%
Máximo 24h:€0.4949
Mínimo 24h:€0.4503
Máximo histórico:€0.9500
Mínimo histórico:€0.3079
Suministro circulante:2,880,000,000 S
Suministro total:
3,175,000,000S
Tasa de circulación:90.00%
Suministro máx.:
--S
Precio en BTC:0.{5}5848 BTC
Precio en ETH:0.0002511 ETH
Precio en la capitalización de mercado de BTC:
Precio en la capitalización de mercado de ETH:
Contratos:--
¿Qué opinas hoy de Sonic (prev. FTM)?
Nota: Esta información es solo de referencia.
Precio actual de Sonic (prev. FTM)
El precio de Sonic (prev. FTM) en tiempo real es de €0.4516 por (S / EUR) hoy con una capitalización de mercado actual de €1.30B EUR. El volumen de trading de 24 horas es de €116.42M EUR. S a EUR el precio se actualiza en tiempo real. Sonic (prev. FTM) es del -6.68% en las últimas 24 horas. Tiene un suministro circulante de 2,880,000,000 .
¿Cuál es el precio más alto de S?
S tiene un máximo histórico (ATH) de €0.9500, registrado el 2025-01-04.
¿Cuál es el precio más bajo de S?
S tiene un mínimo histórico (ATL) de €0.3079, registrado el 2025-02-03.
Predicción de precios de Sonic (prev. FTM)
¿Cuál será el precio de S en 2026?
Según el modelo de predicción del rendimiento histórico del precio de S, se prevé que el precio de S alcance los €0.4535 en 2026.
¿Cuál será el precio de S en 2031?
En 2031, se espera que el precio de S aumente en un +41.00%. Al final de 2031, se prevé que el precio de S alcance los €1.22, con un ROI acumulado de +156.04%.
Historial del precio de Sonic (prev. FTM) (EUR)
El precio de Sonic (prev. FTM) fluctuó un -37.88% en el último año. El precio más alto de S en EUR en el último año fue de €0.9500 y el precio más bajo de S en EUR en el último año fue de €0.3079.
FechaCambio en el precio (%)
Precio más bajo
Precio más alto 
24h-6.68%€0.4503€0.4949
7d-5.33%€0.4343€0.5169
30d-29.51%€0.3752€0.9128
90d-40.64%€0.3079€0.9500
1y-37.88%€0.3079€0.9500
Histórico-36.72%€0.3079(2025-02-03, 46 día(s) atrás )€0.9500(2025-01-04, 76 día(s) atrás )
Información del mercado de Sonic (prev. FTM)
Capitalización de mercado de Sonic (prev. FTM)
Capitalización de mercado
€1,300,677,284.56
Capitalización de mercado totalmente diluida
€1,433,906,381.41
Clasificación de mercado
Precio de la ICO
€0.03692 Datos de la ICO
Mercado de Sonic (prev. FTM)
Holdings por concentración de Sonic (prev. FTM)
Ballenas
Inversores
Minoristas
Sonic (prev. FTM) direcciones por tiempo en holding
Holders
Cruisers
Traders
Gráfico de precios de coinInfo.name (12) en tiempo real
Clasificación de Sonic (prev. FTM)
Clasificaciones promedio de la comunidad
4.6
Este contenido solo tiene fines informativos.
S a la moneda local
1 S a MXN$9.881 S a GTQQ3.771 S a CLP$454.391 S a UGXSh1,792.671 S a HNLL12.521 S a ZARR8.911 S a TNDد.ت1.511 S a IQDع.د640.891 S a TWDNT$16.151 S a RSDдин.52.921 S a DOP$30.811 S a MYRRM2.161 S a GEL₾1.361 S a UYU$20.681 S a MADد.م.4.731 S a OMRر.ع.0.191 S a AZN₼0.831 S a KESSh63.31 S a SEKkr4.941 S a UAH₴20.31
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Última actualización el 2025-03-21 13:27:19(UTC+0)
Cómo comprar Sonic (prev. FTM)(S)

Crea tu cuenta gratuita en Bitget
Regístrate en Bitget con tu dirección de correo electrónico/número de teléfono móvil y crea una contraseña segura para proteger tu cuenta.

Verifica tu cuenta
Verifica tu identidad ingresando tu información personal y cargando una identificación válida con foto.

Convierte Sonic (prev. FTM) a S
Utiliza una variedad de opciones de pago para comprar Sonic (prev. FTM) en Bitget. Te mostraremos cómo.
Tradea futuros perpetuos de S
Después de registrarte en Bitget y comprar tokens de USDT o S exitosamente, puedes empezar a hacer trading con derivados, incluidos futuros de S y trading con margen para aumentar tus ingresos.
El precio actual de S es de €0.4516, con un cambio en el precio en 24 horas del -6.68%. Los traders pueden obtener ganancias yendo en long o en short en futuros de S.
Únete al copy trading de S siguiendo a traders elite.
Después de registrarte en Bitget y comprar tokens de USDT o S exitosamente, también puedes empezar a hacer copy trading siguiendo a traders elite.
Noticias de Sonic (prev. FTM)
Circle: El protocolo nativo USDC y CCTP V2 están a punto de llegar a Sonic
Bitget•2025-03-21 03:52

Oferta de Cronos (CRO) crecerá un 200%; token cae un 10%
Criptofacil•2025-03-19 01:44
Enso ahora se lanza oficialmente en la red Sonic
Bitget•2025-03-19 01:14
Comprar más
Preguntas frecuentes
¿Cuál es el precio actual de Sonic (prev. FTM)?
El precio en tiempo real de Sonic (prev. FTM) es €0.45 por (S/EUR) con una capitalización de mercado actual de €1,300,677,284.56 EUR. El valor de Sonic (prev. FTM) sufre fluctuaciones frecuentes debido a la actividad continua 24/7 en el mercado cripto. El precio actual de Sonic (prev. FTM) en tiempo real y sus datos históricos están disponibles en Bitget.
¿Cuál es el volumen de trading de 24 horas de Sonic (prev. FTM)?
En las últimas 24 horas, el volumen de trading de Sonic (prev. FTM) es de €116.42M.
¿Cuál es el máximo histórico de Sonic (prev. FTM)?
El máximo histórico de Sonic (prev. FTM) es €0.9500. Este máximo histórico es el precio más alto de Sonic (prev. FTM) desde su lanzamiento.
¿Puedo comprar Sonic (prev. FTM) en Bitget?
Sí, Sonic (prev. FTM) está disponible actualmente en el exchange centralizado de Bitget. Para obtener instrucciones más detalladas, consulta nuestra útil guía Cómo comprar .
¿Puedo obtener un ingreso estable invirtiendo en Sonic (prev. FTM)?
Desde luego, Bitget ofrece un plataforma de trading estratégico, con bots de trading inteligentes para automatizar tus trades y obtener ganancias.
¿Dónde puedo comprar Sonic (prev. FTM) con la comisión más baja?
Nos complace anunciar que plataforma de trading estratégico ahora está disponible en el exchange de Bitget. Bitget ofrece comisiones de trading y profundidad líderes en la industria para garantizar inversiones rentables para los traders.
¿Dónde puedo comprar Sonic (prev. FTM) (S)?
Sección de video: verificación rápida, trading rápido

Cómo completar la verificación de identidad en Bitget y protegerte del fraude
1. Inicia sesión en tu cuenta de Bitget.
2. Si eres nuevo en Bitget, mira nuestro tutorial sobre cómo crear una cuenta.
3. Pasa el cursor por encima del ícono de tu perfil, haz clic en "No verificado" y haz clic en "Verificar".
4. Elige tu país o región emisora y el tipo de ID, y sigue las instrucciones.
5. Selecciona "Verificación por teléfono" o "PC" según tus preferencias.
6. Ingresa tus datos, envía una copia de tu ID y tómate una selfie.
7. Envía tu solicitud, ¡y listo! Habrás completado la verificación de identidad.
Las inversiones en criptomoneda, lo que incluye la compra de Sonic (prev. FTM) en línea a través de Bitget, están sujetas al riesgo de mercado. Bitget te ofrece formas fáciles y convenientes de comprar Sonic (prev. FTM), y hacemos todo lo posible por informar exhaustivamente a nuestros usuarios sobre cada criptomoneda que ofrecemos en el exchange. No obstante, no somos responsables de los resultados que puedan surgir de tu compra de Sonic (prev. FTM). Ni esta página ni ninguna parte de la información que incluye deben considerarse respaldos de ninguna criptomoneda en particular.
Bitget Insights

AmicableDarlington
4h
Pi Network Price Prediction: Can PI Price Recover 50% Monthly Loss & Close the Q1 Trade Above $1?
The Pi Network price has dropped below the crucial levels at $1, raising huge concerns over the next price action. As the price kept plunging, the volume increased by more than 40%, which suggests the traders could have turned bearish on $PI . Amid the rising attacks on $PI on social media platforms and some exchanges refusing to list the token, is there any possibility of the token revamping a strong rebound as it has almost reached the lowest point?
Besides, the Pi supply is steadily decreasing due to the removal of transaction fees from circulation. Nearly 528,671 $PI had been burned by early March at a rate of 3000-4000 tokens per day, although it has not announced any formal coin burn. The tokens of users who missed the KYC deadline were burned, and hence this deflationary mechanism sparks the speculation of a positive impact on its value.
The short-term price action of $PI suggests the token has reached one of the lowest points after its mainnet launch. The bearish influence prevails despite the price testing the lower support of the falling wedge. This could point towards an extended bearish action, dragging the levels below $0.65, while the technicals hint towards a potential rebound.
The stochastic RSI has reached the oversold zone and if it consolidates as it did in previous times, then the Pi price is expected to remain accumulated at around $1. Besides, if the RSI triggers a bullish rebound, then the token is expected to rise and test the resistance at $1.02 and if it clears these levels, it may enter an important resistance zone between $1.19 and $1.24. Until and unless the Pi Network price does not clear these levels, bearish clouds may continue to haunt the rally with a possibility of plunging to $0.7 or below.
The optimism surrounding the $PI price rally appears to have been fading quickly as the uncertainty over the open mainnet launch persists. With no clear roadmap and delayed listing by popular exchanges, it could have shaken the investor’s confidence in the token. Besides, there are no clear timelines; the future of the token remains vague, which raises the speculation that it is a scam. Therefore, the market participants are advised to be vigilant before being conclusive.
PI-16.75%
S-4.78%
BGUSER-HC4T3Y9V
4h
$PI o.6$ it s coming 📉
PI-16.75%
S-4.78%

₵ryptoXpert
4h
😳Bitcoin Daily news 📈
📉 So far, $BTC has dropped back below February’s close at 84300 — not a great sign,but a bounce is still possible if support holds around 82540. If that level fails we could see a move down toward ~80688.
We're still stuck in a choppy range,making it tough to predict anything major until we get a clean breakout in either direction.
Meanwhile:
* Gold and silver are pulling back
* DXY is bouncing
* Stock indices have been stuck at the same support level for 10 days,showing signs of bounce but no follow-through
All of this points to one thing: a market full of uncertainty and chop.
BTC-0.79%
MOVE-2.32%

BullishBanter
4h
Japanese Company Metaplanet Appointed Eric Drump As A Member!
Metaplanet, formed a Strategic Advisory Committee and appointed Donald Trump's son, Eric Trump, as a member.
With this move, #MetaPlanet is clearly looking to expand its influence and bring in high-level expertise. Metaplanet's growing $BTC focus, this move could shake up institutional adoption in a big way. Having the son of U.S. President Donald Trump on the team signals serious global ambitions.
Could this be the beginning of something massive!
BTC-0.79%
MOVE-2.32%
BGUSER-F7VK3VPX
4h
Artificial intelligence has taken a decisive step forward with the meteoric rise of ChatGPT, which has revolutionized both the general public and businesses. Yet, faced with the limitations of giant models, a new approach is emerging: intelligent agents. Capable of acting and interacting with their digital environment, they redefine the future of AI by moving from simple text generation to executing concrete and autonomous tasks.
Just a few years ago, interacting with an artificial intelligence seemed like science fiction to the general public. But when ChatGPT appeared at the end of 2022, a radical evolution took place. Based on the GPT-3.5 model and freely accessible online, ChatGPT experienced a meteoric rise, reaching 100 million monthly users in just two months, a historic record for a consumer application.
In comparison, services like TikTok took nearly 9 months to reach such an audience. While democratizing text generation by AI, ChatGPT has enabled non-specialists to experience the power of large language models, also known as LLMs. From schoolchildren to professional engineers, everyone could ask questions, get summaries, create code, and generate content ideas through a natural language computing conversation.
The impact in the professional world has been just as significant. Several companies quickly integrated these models into their products and workflows. OpenAI generated nearly 1 billion dollars in revenue in 2023, potentially reaching 3.7 billion in 2024. This ascent was supported by the development of AI APIs and commercial licenses. The formation of major partnerships, such as with Microsoft, allowed ChatGPT to be included in users’ daily routines (search engines, office suites), further amplifying its impact.
GPT-3.5 was a true turning point. AI could now compose coherent text on demand. GPT-4, created at the beginning of 2023, affirmed the revolutionary aspect of the software by notably improving its reasoning capabilities and image comprehension. In record time, text-generative AI has transitioned from a laboratory curiosity to an essential consumer tool, both for less experienced users and for companies seeking automation.
However, this meteoric rise has been called into question by the evolution of giant models. Indeed, major players in the web, such as Open AI and its competitors (Anthropic, Google, Meta, Grok in the United States, Mistral in France, Deepseek and Qwen in China) have worked to increase the power of their LLMs since 2024. Thus, new records of performance and intelligence have been established at the cost of significant efforts and massive expenses.
Nevertheless, gains tend to plateau compared to the initial spectacular jumps. Indeed, according to “scaling laws”, each new advancement now requires an exponential increase in resources (model size, data used, computing power), which progressively limits the real progress margin of artificial intelligences. In fact, doubling the intelligence of a model would not merely double the initial cost but multiply it by ten or a hundred: it would require both more computing power and more training data.
Where the transition from GPT-3 to GPT-4 brought significant improvements (with GPT-4 performing approximately 40% better than GPT-3.5 on certain standardized academic exams), OpenAI’s next model (codenamed Orion) is said to offer only minimal improvements over GPT-4, according to some sources.
This dynamics of diminishing returns affects the entire sector: Google reportedly found that its Gemini 2.0 model does not meet expected goals, and Anthropic even temporarily paused the development of its main LLM to reassess its strategy. In short, the exhaustion of large high-quality training data corpora, as well as the unsustainable costs in computing power and energy needed to improve models, lead to a sort of technical ceiling, at least temporarily.
The numbers confirm this on benchmarks. The multitask understanding scores (MMLU) of the best models converge: since 2023, almost all LLMs achieve similar performances on these tests, indicating we are approaching a plateau. Even much smaller open-source models are beginning to compete with the giants trained by billions of dollars in investments.
The race for enormity of models is therefore showing its limits, and the giants of AI are changing strategies: Sam Altman (OpenAI) stated that the path to truly intelligent AI will likely no longer come from simply scaling LLMs, but rather from a creative use of existing models. In clear terms, it involves finding new approaches to gain intelligence without simply multiplying the size of neural networks.
Certain techniques, such as Chain-of-Thought (or Tree-of-Thought), allow the model to generate a “reasoning” (often referred to as “thinking” models) before providing its answer, within which it can explore possibilities and realize its mistakes… This is the hallmark of models o1, o3 from OpenAI , R1 from Deepseek , and the „Think“ mode of Grok… This method offers remarkable intelligence gains, particularly in mathematical problems.
However, it still comes at a cost: one of the major benchmarks for testing model intelligence is the ARC-AGI (“Abstract and Reasoning Corpus for Artificial General Intelligence”), published by François Chollet in 2019, which tests the intelligence of models on generalization tasks like the one below :
This benchmark remained a challenge too difficult for the entirety of general models for a long time, taking 4 years to progress from 0 % completion with GPT-3 to 5 % with GPT-4o. But last December, OpenAI published the results of its range of o3 models, with a specialized model on ARC-AGI achieving 88 % completion :
However, each problem incurs a cost of over $3,000 to execute (not counting training expenses), and takes over ten minutes.
The limit of giant LLMs is now evident. Instead of accumulating billions of parameters for ever-smaller returns in intelligence, the AI industry now prefers to equip it with “arms and legs” to transition from simple text generation to concrete action. Now, AI no longer merely answers questions or generates content passively, but connects itself to databases, triggers APIs, and executes actions: conducting internet searches, writing code and executing it, booking a flight, making a call…
It is clear that this new approach radically transforms our relationship with technology. This paradigm shift allows companies to rethink their workflows and use the power of LLMs to automate tedious and repetitive tasks. This modular approach focuses on interaction intelligence rather than brute parametric force. The real challenge now is to enable AI to collaborate with other systems to achieve tangible results. Several intelligent agents already illustrate the disruptive potential of this approach:
Anthropic, creator of Claude, recently published a new standard, the Model Context Protocol (or MCP), which should ultimately allow connection between a compatible LLM and “servers” of tools chosen by the user. This approach has already garnered much attention in the community. Some, like Siddharth Ahuja (@sidahuj) on X (formerly Twitter), use it to connect Claude to Blender, the 3D modeling software, generating scenes just with queries :
The arrival of these agents marks a decisive turning point in our interaction with AI. By allowing an artificial intelligence to take action, we witness a transformation of work methods. Companies integrating agents into their systems can automate complex processes, reduce delays, and improve operational accuracy, whether it’s about synthesizing vast volumes of information or driving complete applications.
For professionals, the impact is immediate. An analyst can now delegate the research and compilation of information to Deep Research, freeing up time for strategic analysis. A developer, aided by v0, can turn an idea into reality in just a few minutes, while GitHub Copilot speeds up code production and reduces errors. The possibilities are already immense and continue to grow as new agents are created.
Beyond the professional realm, these agents will also transform our daily lives, sliding into our personal tools and making services once reserved for experts accessible: it is now much easier to “photoshop” an image, generate code for a complex algorithm, or obtain a detailed report on a topic…
Thus, the era of giant LLMs may be coming to an end, while the arrival of AI agents opens a new era of innovation. These agents – Deep Research, Manus, v0 by Vercel, GitHub Copilot, Cursor, Perplexity AI, and many others – seem to demonstrate that the true value of AI lies in its ability to orchestrate multiple tools to accomplish complex tasks, save time, and transform our workflows.
But beyond these concrete successes, one question remains: what does the future of AI hold for us? What innovations can we expect? Perhaps an even deeper integration with edge computing, or agents capable of learning in real time, or modular ecosystems allowing everyone to customize their digital assistant? What is certain is that we are still only at the beginning of this revolution, which may be the largest humanity will ever experience. And you, are you eager to discover Orion (GPT5), Claude 4, Llama 4, DeepHeek R2, and other disruptive innovations? Which tool from this future excites you the most?
X-3.37%
MAJOR+26.82%
Activos relacionados
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Una selección de las 8 criptomonedas principales por capitalización de mercado.
Agregada recientemente
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Capitalización de mercado comparable
Entre todos los activos de Bitget, estos 8 son los más cercanos a Sonic (prev. FTM) en capitalización de mercado.

Datos sociales de Sonic (prev. FTM)
En las últimas 24 horas, la puntuación del sentimiento en redes sociales de Sonic (prev. FTM) fue 3, y el sentimiento en redes sociales en cuanto a la tendencia del precio de Sonic (prev. FTM) fue Alcista. La puntuación global de Sonic (prev. FTM) en redes sociales fue de 0, que se sitúa en el puesto 1832 entre todas las criptomonedas.
Según LunarCrush, en las últimas 24 horas, se mencionó a las criptomonedas en redes sociales un total de 1,058,120 veces, y se mencionó al token Sonic (prev. FTM) con un ratio de frecuencia de 0%, lo que lo sitúa en el puesto entre todas las criptomonedas.
En las últimas 24 horas, hubo un total de 18 usuarios únicos debatiendo sobre Sonic (prev. FTM) y un total de 1 menciones sobre Sonic (prev. FTM). Sin embargo, en comparación con el periodo de 24 horas anterior, el número de usuarios únicos Disminución del un 22%, y el número total de menciones Disminución del un 83%.
En Twitter, hubo un total de 0 tweets mencionando a Sonic (prev. FTM) en las últimas 24 horas. Entre ellos, el 0% son optimistas respecto a Sonic (prev. FTM), el 0% son pesimistas respecto a Sonic (prev. FTM) y el 100% son neutrales respecto a Sonic (prev. FTM).
En Reddit, hubo 1 publicaciones mencionando a Sonic (prev. FTM) en las últimas 24 horas. En comparación con el periodo de 24 horas anterior, el número de menciones Disminución del un 0%.
Panorama social completo
3