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5.0 /5
(20)

83
Bienvenido al curso de price action de nuestra ruta de trading
Los contenidos del curso
El repositorio Github y los materiales del curso
ACTUALIZACIÓN: las librerías del curso con una puesta a punto
Instala los entornos del curso
Toma notas de tu curso en tiempo real en Frogames Formación
Introducción
Tipo de Objeto: Números
Tipo de Objeto: Strings
Tipo de Objeto: Operadores Lógicos y Booleanos
Tipo de Objeto: Asignación de Variables
Tipo de Objeto: Tuplas y Listas
Tipo de Objeto: Diccionarios
Tipo de Objeto: Conjuntos
Estructuras de Python: If, Elif y Else
Estructuras de Python: For
Estructuras de Python: While
Funciones: fundamentos de las funciones
Funciones: variable local
Funciones: variable global
Funciones: funciones lambda
Introducción
Numpy: Arrays
Numpy: Random
Numpy: Índices / Slicing / Transformaciones
Pandas: Series y DataFrames
Pandas: Limpieza y Transformación
Pandas: Selección Condicional
Matplotlib: Representación gráfica
Matplotlib: Scatter
Matplotlib: Herramientas
Introducción
Importar y manejar datos que proceden de Metatrader 5
Ejemplo de cómo funciona Metatrader 5 en Windows
Importar y manejar datos que proceden de Yahoo Finanzas
Introducción
Cargar los precios de las acciones
Crear una media móvil simple (SMA)
Crear una desviación estándar móvil (MSD)
Usar la librería technical analysis para crear un indicador RSI
Automatizar el proceso de ingeniería de características financieras
Introducción
Teoría de la Redes Neuronales Profundas
Importar los datos e Ingeniería de Variables
División en entrenamiento y testing para ajustar la RNP
Cómo y por qué estandarizar las variables
Crear una RNP con Tensorflow 2.0
Mejorar la RNA con la técnica de la parada temprana
Usar las predicciones de la RNA para crear una estrategia de trading
Automatizar el proceso
El problema de la inicialización estocástica
Cómo solucionar el problema de la inicialización estocástica
El método bagging para diferentes RNAs
Introducción
El índice de Sortino
Cálculo del índice beta (métrica CAMP)
Cálculo del índice alpha (métrica CAMP)
Creación de la función Drawdown
Aplicación de la función Drawdown
La función de backtesting
Probando el backtesting de nuestra estrategia en RNAs
Introducción
Teoría de las Redes Neuronales Recurrentes
Recapitulación del capítulo de RNP
Cómo transformar datos bidimensionales en datos tridimensionales
Cómo crear una RNR utilizando Tensorflow 2.0
La capa de Dropout
Predicciones de RNR para crear una estrategia de trading
Automatización del proceso
Encontrar los mejores modelos a través de la inicialización estocástica
Introducción
Cómo instalar librerías de Python desde Jupyter Notebook
Inicializar la plataforma de Metatrader 5
Obtener datos desde el broker
Enviar órdenes de compra y venta desde Python
Consultar las posiciones actuales
Ejecutar la creación de la estructura
Cerrar todas las posiciones
Aplicación de Trading en vivo: Señal aleatoria
Estrategia de Trading en Vivo: RNA
Estrategia de Trading en Vivo: RNR
Tu ruta de aprendizaje
Hemos terminado una aventura juntos, ¡pero vamos a por la siguiente!

instructor

5.0 /5
(20)

  • Avatar
    Welton
    (5)
    Recommended

    Excellent course to understand how a deep neural network works applied to the Trading world.

  • Avatar
    Jorge
    (5)
    The perfect combination!

    Bringing artificial intelligence together with my investment strategies was a game-changer, seeing how the model starts learning from the data to make decisions on its own is fascinating and super satisfying.

  • Avatar
    Alessandro
    (5)
    Automatizando mis propias estrategias

    Unir el análisis profundo de datos con la compraventa en mercados financieros fue un reto fascinante; ver que mi código ejecuta operaciones lógicas da una satisfacción tremenda.

  • Avatar
    Angel
    (5)
    Deep Learning aplicado al Trading Algorítmico con Python

    is an advanced course that teaches you how to build predictive models using neural networks to operate in financial markets. You'll learn to apply techniques like LSTM, CNN, and reinforcement learning to detect patterns, predict prices, and automate investment decisions.

  • Avatar
    Giovanni
    (5)
    Accessible Content

    I've managed to implement predictive models I didn't understand before, and seeing how the neural network analyzes trends is fascinating and really useful for my daily operations

  • Avatar
    Jackeline
    (5)
    This is real intelligence!

  • Avatar
    leonardo
    (5)
    Excellent course

    I'm currently studying trading and to complement it this Python course with neural networks was very helpful. I'd like it if, just as you give a Python intro, you could provide an MT5 intro focused on Python, but otherwise an excellent course.

  • Avatar
    Javi
    (5)
    Predictions that surprise

    Running neural networks on price charts blew my mind. It's fascinating to see how the system finds patterns that you'd completely miss at first glance. It gave me an analytical edge I didn't have before, and now I see trends with way more depth and way less doubt.

  • Avatar
    Santiago
    (5)
    Super useful for automating decisions with real data.

  • Avatar
    Nicolás
    (5)
    You learn a ton

  • Avatar
    Nieves
    (5)
    I came in out of curiosity, left training neural networks that predict the market

  • Avatar
    Rocío
    (5)
    It's a very hands-on course

  • Avatar
    Gustavo
    (5)
    Deep Learning for Algorithmic Trading with Python: Artificial Intelligence at the Service of the Market

    This course takes algorithmic trading to the next level, integrating Deep Learning techniques to detect complex patterns, anticipate market movements, and build robust predictive models. Designed for quantitative traders, data scientists, and financial developers, it combines advanced theory with practical implementation in Python.

  • Avatar
    Rosa
    (5)
    Great course

    I loved combining the world of AI with the world of Algorithmic Trading

  • Avatar
    Gabriela
    (5)
    Revolutionize Your Trading Strategies

    This course is a must for anyone who wants to apply artificial intelligence to trading. It explains how to use neural networks and deep learning models to predict markets, with practical examples in Python.

  • Avatar
    danison
    (5)
    Deep Learning and trading: The perfect combination

    This course is a gem for AI and trading lovers! I learned how to use Deep Learning techniques to optimize my algorithmic trading strategies.

  • Avatar
    Yvonne
    (5)
    Strengthening my math foundations

    This course provides advanced knowledge to create smart trading models, combining theory and practice to optimize investment strategies.

  • Avatar
    Martos
    (5)
    Excellent

  • Avatar
    Carlos
    (5)
    five stars

  • Avatar
    Conrado
    (5)
    Great course

    I recommend taking this course, it's really clear and comprehensive.

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