Algoritmos de negociación basados en machine learning from Coursera

What's inside

Syllabus

Mercados Financieros

Bienvenido al primer módulo del curso algoritmos de negociación basados en machine learning. En este módulo comprenderemos el funcionamiento de los mercados financieros, identificaremos cuáles son las principales decisiones de inversión, entenderemos cómo se forman los precios en los mercados financieros, y estimaremos la rentabilidad y la volatilidad de un activo financiero.

Análisis técnico

Bienvenidos al segundo módulo del curso de algoritmos de negociación basados en machine learning. En este módulo entenderemos que es el análisis técnico, para que se utiliza y su relevancia en el mercado financiero; conoceremos que son las Velas Japonesas y como se utilizan; y analizaremos las medias móviles simples, medias móviles exponenciales, bandas bollinger y principales osciladores.

Negociación en el mercado financiero

Bienvenido al tercer módulo del curso algoritmos de negociación basados en machine learning. En este módulo se identifican las reglas básicas de negociación de activos financieros basados en análisis técnico, y aplicar dichas reglas de negociación de activos financieros en casos reales del mercado financiero.

Estrategias de negociación basada en modelos de machine learning

Bienvenido al cuarto módulo del curso algoritmos de negociación basados en machine learning. En este módulo se identifican los principales modelos de machine learning, se aplican modelos de machine learning de clasificación como eje de los algoritmos de negociación de activos financieros y, por último, se estiman las principales medidas de desempeño de los algoritmos de trading.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Curso introductorio a los mercados de capital, formación de precios, retorno, volatilidad y análisis técnico

Proporciona una base para la toma de decisiones de inversión basadas en herramientas de analítica

Incluye algoritmos de negociación basados en modelos de clasificación de machine learning

No requiere instalación de programas externos, ya que todas las herramientas digitales son provistas por la plataforma

Está dirigido a personas con interés en soportar la toma de decisiones de inversión de activos financieros en el mercado de capitales

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Algoritmos de negociación basados en machine learning with these activities:

Tutorial sobre los mercados financieros

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Refresca tus conocimientos sobre los fundamentos de los mercados financieros y sus principales conceptos.

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Busca tutoriales en línea o plataformas de aprendizaje que cubran los fundamentos de los mercados financieros.
Sigue los tutoriales paso a paso para comprender los conceptos clave, como activos, acciones, bonos y derivados.

Mentoría a otros estudiantes

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Refuerza tu comprensión de los conceptos y ayuda a otros estudiantes a tener éxito.

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Identifica a otros estudiantes en el curso o en foros relacionados.
Ofrece ayuda a los estudiantes que tienen dificultades o que buscan más información.
Crea contenido o recursos adicionales que puedan beneficiar a otros estudiantes.

Ejercicios de cálculo de rentabilidad y volatilidad

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Mejora tus habilidades para calcular la rentabilidad y la volatilidad de los activos financieros.

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Encuentra problemas de práctica o cuestionarios en línea que cubran el cálculo de la rentabilidad y la volatilidad.
Intenta resolver los problemas por tu cuenta utilizando las fórmulas y conceptos aprendidos en el curso.
Compara tus respuestas con las soluciones proporcionadas y aprende de tus errores.

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Career center

Learners who complete Algoritmos de negociación basados en machine learning will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

This course, Algoritmos de negociación basados en machine learning, provides a solid foundation for a Machine Learning Engineer who specializes in the field of financial investing. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This course can help you develop the skills you need to succeed as a Machine Learning Engineer in the financial industry.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

This course, Algoritmos de negociación basados en machine learning, can be useful for Quantitative Analysts who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Quantitative Analyst in the financial industry.

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Actuary

This course, Algoritmos de negociación basados en machine learning, may be useful for Actuaries who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as an Actuary in the financial industry.

See salaries and explore the career path for Actuary

Investment Banker

This course, Algoritmos de negociación basados en machine learning, may be useful for Investment Bankers who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as an Investment Banker in the financial industry.

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Portfolio Manager

This course, Algoritmos de negociación basados en machine learning, may be useful for Portfolio Managers who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Portfolio Manager in the financial industry.

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Risk Manager

This course, Algoritmos de negociación basados en machine learning, may be useful for Risk Managers who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Risk Manager in the financial industry.

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Financial Planner

This course, Algoritmos de negociación basados en machine learning, may be useful for Financial Planners who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Financial Planner in the financial industry.

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Venture Capitalist

This course, Algoritmos de negociación basados en machine learning, may be useful for Venture Capitalists who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Venture Capitalist in the financial industry.

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Economist

This course, Algoritmos de negociación basados en machine learning, may be useful for Economists who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as an Economist in the financial industry.

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Investment Analyst

This course, Algoritmos de negociación basados en machine learning, may be useful for Investment Analysts who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as an Investment Analyst in the financial industry.

See salaries and explore the career path for Investment Analyst

Trader

This course, Algoritmos de negociación basados en machine learning, may be useful for Traders who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Trader in the financial industry.

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Hedge Fund Manager

This course, Algoritmos de negociación basados en machine learning, may be useful for Hedge Fund Managers who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Hedge Fund Manager in the financial industry.

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Data Scientist

This course, Algoritmos de negociación basados en machine learning, may be useful for Data Scientists who want to specialize in the field of financial investing. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Data Scientist in the financial industry.

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Private Equity Investor

This course, Algoritmos de negociación basados en machine learning, may be useful for Private Equity Investors who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Private Equity Investor in the financial industry.

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Financial Analyst

This course, Algoritmos de negociación basados en machine learning, may be useful for Financial Analysts who want to develop a specialization in algorithmic trading. The course covers the basics of machine learning, including supervised learning algorithms, feature engineering, and model evaluation. It also provides an overview of the financial markets and how machine learning can be used to develop trading strategies. This knowledge can help you succeed as a Financial Analyst in the financial industry.

See salaries and explore the career path for Financial Analyst