Bitget App
Trading Inteligente
Comprar criptoMercadosTradingFuturosBotsEarnCopy
Precio de X Doge

Precio de X DogeX

focusIcon
subscribe
No listado
Moneda de cotización:
EUR
Los datos proceden de proveedores externos. Esta página y la información proporcionada no respaldan ninguna criptomoneda específica. ¿Quieres tradear monedas listadas?  Haz clic aquí

¿Qué opinas hoy de X Doge?

IconGoodBuenoIconBadMalo
Nota: Esta información es solo de referencia.

Precio actual de X Doge

El precio de X Doge en tiempo real es de €0.{8}8484 por (X / EUR) hoy con una capitalización de mercado actual de €0.00 EUR. El volumen de trading de 24 horas es de €0.00 EUR. X a EUR el precio se actualiza en tiempo real. X Doge es del -3.08% en las últimas 24 horas. Tiene un suministro circulante de 0 .

¿Cuál es el precio más alto de X?

X tiene un máximo histórico (ATH) de €0.005905, registrado el 2025-03-11.

¿Cuál es el precio más bajo de X?

X tiene un mínimo histórico (ATL) de €0.{9}1596, registrado el 2022-10-07.
Calcular ganancias de X Doge

Predicción de precios de X Doge

¿Cuál será el precio de X en 2026?

Según el modelo de predicción del rendimiento histórico del precio de X, se prevé que el precio de X alcance los €0.{8}9975 en 2026.

¿Cuál será el precio de X en 2031?

En 2031, se espera que el precio de X aumente en un -5.00%. Al final de 2031, se prevé que el precio de X alcance los €0.{7}1613, con un ROI acumulado de +88.38%.

Historial del precio de X Doge (EUR)

El precio de X Doge fluctuó un -4.78% en el último año. El precio más alto de en EUR en el último año fue de €0.005905 y el precio más bajo de en EUR en el último año fue de €0.{8}3563.
FechaCambio en el precio (%)Cambio en el precio (%)Precio más bajoEl precio más bajo de {0} en el periodo correspondiente.Precio más alto Precio más alto
24h-3.08%€0.{8}8420€0.{8}8754
7d+5.88%€0.{8}8420€0.{7}1256
30d-13.96%€0.{8}5570€0.005905
90d-81.77%€0.{8}3998€0.005905
1y-4.78%€0.{8}3563€0.005905
Histórico-93.89%€0.{9}1596(2022-10-07, 2 año(s) atrás )€0.005905(2025-03-11, 10 día(s) atrás )

Información del mercado de X Doge

Capitalización de mercado de X Doge

Capitalización de mercado
--
Capitalización de mercado totalmente diluida
€84,840.29
Clasificación de mercado
Comprar cripto

Holdings por concentración de X Doge

Ballenas
Inversores
Minoristas

X Doge direcciones por tiempo en holding

Holders
Cruisers
Traders
Gráfico de precios de coinInfo.name (12) en tiempo real
loading

Clasificación de X Doge

Clasificaciones promedio de la comunidad
4.4
100 clasificaciones
Este contenido solo tiene fines informativos.

Acerca de X Doge (X)

X Doge Token: El Futuro De Las Criptomonedas

En los últimos años, la criptomoneda ha tomado el mundo financiero por asalto. Desde Bitcoin hasta Ethereum, el auge de las monedas digitales ha generado un nuevo interés y entusiasmo en torno a las posibilidades de la tecnología blockchain. Entre estas criptomonedas emergentes, X Doge Token ha demostrado ser un contendiente formidable en el mercado digital.

¿Qué es X Doge Token?

X Doge Token es una forma avanzada de criptomoneda, que utiliza la tecnología blockchain para permitir transacciones seguras y descentralizadas en línea. Fuertemente influenciado por Dogecoin, X Doge Token fue creado con la intención de superar a su predecesor en términos de eficiencia, seguridad y capacidad de uso.

Características clave

1. Eficiencia

Lo que diferencia a X Doge Token de muchas otras criptomonedas es su enfoque en la eficiencia. Es conocido por su rápida velocidad de transacción, lo que permite a los usuarios realizar transacciones de manera más eficiente en comparación con otras criptomonedas.

2. Seguridad

X Doge Token utiliza la tecnología blockchain para garantizar que todas las transacciones sean seguras. Esto significa que las transacciones no pueden ser alteradas ni falsificadas, proporcionando un alto nivel de seguridad para los usuarios.

3. Descentralización

Al igual que con la mayoría de las otras criptomonedas, X Doge Token es una moneda descentralizada. Esto significa que no está controlado por ningún gobierno o entidad, permitiendo a los usuarios tener control total sobre sus propios activos y transacciones.

4. Fácil de usar

La interfaz de usuario de X Doge Token es simple y fácil de usar, lo que permite a los usuarios navegar y realizar transacciones fácilmente. Esto lo hace accesible para las personas, independientemente de su nivel de experiencia con las criptomonedas.

Conclusión

En resumen, X Doge Token se ha ganado un lugar en el mundo de las criptomonedas como una opción popular y eficiente. Con su enfoque en la eficiencia, seguridad, descentralización y facilidad de uso, promete ser una opción emocionante para aquellos interesados ​​en explorar el mundo de las criptomonedas. Su crecimiento en el futuro probablemente continuará a medida que más personas busquen formas seguras y eficientes de realizar transacciones en línea.

Preguntas frecuentes

¿Cuál es el precio actual de X Doge?

El precio en tiempo real de X Doge es €0 por (X/EUR) con una capitalización de mercado actual de €0 EUR. El valor de X Doge sufre fluctuaciones frecuentes debido a la actividad continua 24/7 en el mercado cripto. El precio actual de X Doge en tiempo real y sus datos históricos están disponibles en Bitget.

¿Cuál es el volumen de trading de 24 horas de X Doge?

En las últimas 24 horas, el volumen de trading de X Doge es de €0.00.

¿Cuál es el máximo histórico de X Doge?

El máximo histórico de X Doge es €0.005905. Este máximo histórico es el precio más alto de X Doge desde su lanzamiento.

¿Puedo comprar X Doge en Bitget?

Sí, X Doge 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 X Doge?

Desde luego, Bitget ofrece un plataforma de trading estratégico, con bots de trading inteligentes para automatizar tus trades y obtener ganancias.

¿Dónde puedo comprar X Doge 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 cripto?

Compra cripto en la app de Bitget
Regístrate en cuestión de minutos para comprar criptomonedas con tarjeta de crédito o transferencia bancaria.
Download Bitget APP on Google PlayDownload Bitget APP on AppStore
¡Haz trading en Bitget!
Deposita tus cripto en Bitget y accede a una alta liquidez y bajas comisiones de trading.

Sección de video: verificación rápida, trading rápido

play cover
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 X Doge en línea a través de Bitget, están sujetas al riesgo de mercado. Bitget te ofrece formas fáciles y convenientes de comprar X Doge, 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 X Doge. Ni esta página ni ninguna parte de la información que incluye deben considerarse respaldos de ninguna criptomoneda en particular.

Comprar

Earn

X
EUR
1 X = 0.{8}8484 EUR
Bitget ofrece las comisiones por transacción más bajas entre las principales plataformas de trading. Cuanto más alto sea tu nivel VIP, más favorables serán las comisiones.

Bitget Insights

Cointribune EN
Cointribune EN
5h
AI Agents Take Over The Future Of Automation Is Here
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?
UP+1.51%
X-5.75%
THEDEFIPLUG
THEDEFIPLUG
5h
Most stablecoins are dead money but $lvlUSD isn’t. It earns 6-8%+ APY, stacks XP rewards, and powers 40x incentive pools. I’ve been farming it for max yield and here’s why it’s one of the best stablecoin plays in DeFi right now. @levelusd TVL explode past $80M in just a few
WHY-1.55%
DEFI0.00%
Crypto News Flash
Crypto News Flash
5h
XRP Futures Trading Gets CFTC Nod—Institutional Demand Rising?
Following Bitnomial’s New XRP Futures Contracts, as reported by CNF in 2024, the initiative initially aimed to boost market confidence. The Chicago-based digital asset derivatives exchange, Bitnomial, has launched the first-ever XRP futures contracts regulated by the U.S. Commodity Futures Trading Commission (CFTC). As tweeted on X by Bitnomial: Bitnomial is launching the first-ever CFTC-regulated $XRP futures in the U.S. — physically settled for real market impact. Plus, we’ve voluntarily dismissed our case against the SEC as regulatory clarity improves. 🚀 XRP futures are here! 🚀 Bitnomial is launching the first-ever CFTC-regulated $XRP futures in the U.S. — physically settled for real market impact. Plus, we’ve voluntarily dismissed our case against the SEC as regulatory clarity improves. pic.twitter.com/ARkSanjFNU — Bitnomial (@Bitnomial) March 19, 2025 According to reports, Bitnomial’s CFTC-approved XRP futures contracts represent a major milestone in the crypto derivatives market. These contracts are physically settled, meaning that upon expiration, they are delivered in XRP tokens — distinguishing them from cash-settled alternatives that do not directly involve the underlying asset. The introduction of these regulated futures contracts provides institutional and retail investors with a new way to gain exposure to XRP, potentially enhancing liquidity and market depth for the digital asset. Concurrently with the launch, Bitnomial announced the withdrawal of its lawsuit against the U.S. Securities and Exchange Commission (SEC). The exchange had previously filed the lawsuit in October 2024, accusing the SEC of overstepping its jurisdiction by asserting that XRP futures should be classified as securities. The decision to retract the lawsuit aligns with recent developments, including the SEC’s decision to drop its appealagainst Ripple, the company behind XRP. This sequence of events has been viewed as a “resounding” victory for Ripple and has contributed to a more favorable regulatory environment for XRP. The launch of CFTC-regulated XRP futures by Bitnomial is expected to have several significant implications. First, regulated futures contracts could attract more institutional investors, increasing market maturity and stability. Second, increased liquidity and trading activity could lead to more accurate price discovery and reduced market volatility. Third, the availability of physically settled futures contracts could enhance market transparency and confidence among institutional and retail investors. According to a recent CNF report , Bitnomial’s platform debuted with $25M in Ripple support, underscoring the strategic alignment between the exchange and the XRP ecosystem. As of now, XRP is trading at $2.46, surging 7.52% in the past day and 10.31% in the past week.
X-5.75%
MAJOR+28.34%
𝙲𝚛𝚢𝚙𝚝𝚘𝚂𝚊𝚝Red
𝙲𝚛𝚢𝚙𝚝𝚘𝚂𝚊𝚝Red
5h
💰 $VELODROME   /USDT 🔽SHORT ✳️ ENTRY - 6220 , 6350 , 6500 🎯 TARGETS - 6140 , 6050 , 5960 , 5853 , 5700 , 5500 🀄️ LEVERAGE -  cross 15x 🔴 STOPLOSS - 6780
X-5.75%
VELODROME+6.17%
MDALAMGIMIA
MDALAMGIMIA
6h
$BANANA has been a powerhouse over the last three days, surging from $16.10 to a high of $24.84, delivering a 2x return for early traders. The strong bullish momentum is backed by an upward trend in EMAs, with the 5 EMA at $22.52 and 20 EMA at $19.61, confirming sustained buying pressure. The Parabolic SAR at $18.29 indicates a strong trend continuation, with no immediate signs of reversal. Traders should watch for a clean breakout above $24.84 to target $26-$27, while a retracement to $23-$22.50 could offer a re-entry opportunity. Maintaining tight stop-losses and securing partial profits at resistance levels will be key to maximizing gains in this fast-moving trend. good nays
X-5.75%
BANANA-3.06%

Activos relacionados

Criptomonedas populares
Una selección de las 8 criptomonedas principales por capitalización de mercado.
Agregada recientemente
Las criptomonedas agregadas más recientemente.
Capitalización de mercado comparable
Entre todos los activos de Bitget, estos 8 son los más cercanos a X Doge en capitalización de mercado.