Si construyes tu cartera sin analizar la correlación entre activos o el ratio riesgo-retorno, estás dejando demasiado al azar.
En OjoAlTicker automatizamos todo el proceso
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El Nasdaq 100 vuelve a marcar el ritmo y la tecnología gana peso en la selección cuantitativa.
AMD, AAPL y SWKS destacan, con salud también muy presente.
¿Está cambiando el sesgo sectorial?
Más datos en https://t.co/P9rlAtfCwV
No es recomendación de inversión.
Así funciona el módulo Mi Cartera en OjoAlTicker.
Introduce tus posiciones, guarda la cartera y analiza retorno, drawdown, atribución por activo y comparativa con índices, todo en un mismo panel.
https://t.co/B7pZFXV5rL
The NVIDIA Accelerated Quantum Research Center (NVAQC) will have its first on-premise quantum computing deployment: an IonQ Superion 256 system.
“We see this as the beginning of an exciting era of hybrid quantum-classical computing," says our CEO @NiccoloDeMasi.
The NVAQC is designed to address the fundamental challenges of scaling quantum processors into a new class of accelerated quantum supercomputers.
Connecting IonQ’s full-stack quantum systems directly with @nvidia AI infrastructure will help drive the breakthroughs needed to turn qubits into useful, large-scale quantum supercomputers capable of solving the world's hardest problems.
Our quantum processing system will link directly with an NVIDIA GB200 NVL72 system via NVIDIA NVQLink. Workloads will be orchestrated by the open NVIDIA CUDA-Q platform.
Read the full announcement → https://t.co/YE1CUhe0CD
#IonQ #QuantumIsNow #QuantumComputing #QPU
Today we share a major milestone in fault-tolerant quantum computing: Our researchers have successfully demonstrated the industry’s first end-to-end real-time decoder capable of decoding a large-scale universal fault-tolerant quantum computer. Moreover, it runs on a single standard off-the-shelf central processing unit (CPU).
This is a path to more cost-effective quantum systems at scale and millions of operations without slowing down the execution of quantum applications.
See more insights from @nic_delfosse, our QEC research lead, and John Gamble, Vice President at IonQ Architecture in the full announcement → https://t.co/IDAKtgPXN3
#IonQ #IonQSuperion #QuantumIsNow #QuantumComputing #QuantumErrorCorrection #QEC
$IONQ DEMONSTRATES REAL-TIME QUANTUM ERROR CORRECTION ON A SINGLE CPU
IonQ says it demonstrated what it calls the industry’s first end-to-end real-time quantum error correction decoder running on a standard off-the-shelf CPU.
The system was tested on benchmark circuits simulating up to 408 logical qubits and more than 31.5M quantum operations, with as little as 0.02% added processing time.
The decoder runs continuously in the background, allowing error correction without pausing quantum execution.
IonQ says the result supports its Walking Cat architecture and roadmap toward systems controlling thousands of qubits.
Top 10 completo: Phillips 66 lidera, seguido de un bloque de Health Care (Thermo Fisher, Revvity, IQVIA, Quest Diagnostics), Macro (DBC, USO) y tres nombres de tecnología (Skyworks, HP, Verisign).
Black-Scholes es un modelo, no una verdad absoluta.
Parte de supuestos sobre cómo funcionan los mercados que no siempre se cumplen en la realidad.
Pero su marco matemático sentó las bases de buena parte de la valoración moderna de opciones.
¿Para qué sirve Black-Scholes? 📈
La ecuación que revolucionó la valoración de opciones financieras y puso matemáticas al servicio de una pregunta clave:
¿Cuánto debería valer una opción? 🧵
Para entender Black-Scholes, hay que conocer sus 4 ingredientes principales:
S → Precio del subyacente
T → Tiempo hasta vencimiento
σ → Volatilidad
r → Tipo de interés
Son las variables fundamentales que entran en el modelo.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution