Algoritmos de negociación basados en machine learning (Coursera)

Algoritmos de negociación basados en machine learning (Coursera)

Este curso brinda una introducción a los mercados de capital, la formación de precios, el retorno, la volatilidad, los principios del análisis técnico de activos financieros, algoritmos de negociación basados en modelos de clasificación de machine learning, y sus aplicaciones a estrategias de inversión activas de corto plazo.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Este curso está dirigido a personas interesadas en soportar la toma de decisiones de inversión de activos financieros en el mercado de capitales basados en herramientas de analítica. Este curso no requiere de la instalación de ningún programa externo en un equipo local. Todas las herramientas digitales son provistas por la plataforma.
Course 3 of 3 in the Analítica de Datos en Finanzas Specialization.

What You Will Learn

  • Entender el funcionamiento del mercado de capitales, la formación de precios de los activos financieros, el retorno y el riesgo financiero.
  • Aplicar las herramientas de análisis técnico en el mercado de capitales y commodities basados en los precios históricos y el volumen de transacciones
  • Utilizar el análisis técnico para diseñar algoritmos de negociación de activos financieros y commodities en el mercado de capitales.
  • Diseñar algoritmos de negociación basados en modelos de machine learning como: Arboles de Decisión, Random Forest, redes neuronales, entre otros.

Syllabus

WEEK 1
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.

WEEK 2
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.

WEEK 3
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.

WEEK 4
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

AI Materials (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

AI Materials (Coursera)

Learn about the materials that have advanced the performance of artificial intelligence, and the machine learning models that could help accelerate the design and development of novel materials. This course defines artificial intelligence (AI) as a machine to which some or all of the functions of the human brain have been delegated. It highlights the need, and explains in an easy-to-understand way how machine learning from artificial intelligence can dramatically accelerate the development of new materials.

Oct 5th 2026
5-12 Weeks
Economics of Money and Banking (Coursera) Coursera
Columbia University

Economics of Money and Banking (Coursera)

The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought that have become newly relevant.

Sep 28th 2026
13-24 Weeks
Los obstáculos y la conducción en las negociaciones (Coursera) Coursera
Universidad Nacional Autónoma de México

Los obstáculos y la conducción en las negociaciones (Coursera)

En este curso se analizará para su aplicación la ubicación y señalamiento de los obstáculos que se presentan durante el proceso de negociación. Es interesante observar que en este análisis no sólo se plantean los obstáculos, sino se hacen observaciones sobre las condiciones que se presentan para identificar el obstáculo con las habilidades y estrategias que se ofrecen para su manejo efectivo.

Sep 28th 2026
4 Weeks
Probabilistic Graphical Models 1: Representation (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 1: Representation (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Sep 28th 2026
5-12 Weeks
Foundations of Data Science: K-Means Clustering in Python (Coursera) Coursera
University of London,Goldsmiths, University of London

Foundations of Data Science: K-Means Clustering in Python (Coursera)

This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks.

Oct 5th 2026
5-12 Weeks
Negotiation Fundamentals (Coursera) Coursera
ESSEC Business School

Negotiation Fundamentals (Coursera)

This course gives you access to negotiation practical tools and best practices gathered by Professor Aurélien Colson & his team from assignments in more than seventy countries and in a wide set of sectors, be they services, industry, high tech, or public organizations. In an interactive manner, this course will help you, among other topics: get prepared for any negotiation; avoid traps; know how to prompt value-creating partnerships; structure an effective negotiation sequence; bargain in an efficient and respectful manner; overcome deadlocks; and much more!

Oct 5th 2026
4 Weeks
Banking and Financial Institutions (Coursera) Coursera
University of Illinois at Urbana-Champaign

Banking and Financial Institutions (Coursera)

The purpose of this course is to provide you with a basic understanding of the connections between money, the financial system, and the broader macroeconomy. We will examine the economics of modern financial institutions (e.g. banks), including how they are organized, the products and financial services they offer, the risks they take, why and how they are regulated, and how this has changed over time.

Sep 28th 2026
4 Weeks
Machine Learning Basics (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning Basics (Coursera)

In this course, you will: understand the basic concepts of machine learning; understand a typical memory-based method, the K nearest neighbor method; understand linear regression; understand model analysis. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Sep 28th 2026
4 Weeks
Cloud: Platform as a Service - Master's (Coursera) Coursera
Illinois Tech

Cloud: Platform as a Service - Master's (Coursera)

This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

Sep 28th 2026
5-12 Weeks
The Art of Negotiation (Coursera) Coursera
University of California, Irvine

The Art of Negotiation (Coursera)

The art of negotiation comes into play daily in the life of employees at all levels and in every position. Participants explore how current approaches to negotiation strategy and tactics are used, what negotiation entails, types of negotiation relationships that exist from hard bargain to win-win, to fully partnered relationships and personal ones. The course explores the personal and behavioral characteristics of an effective negotiator. Participants discuss how empowerment, power, and authority affect the negotiation process and outcome. Topics include how important it is to plan and prepare for a negotiation session.

Sep 28th 2026
4 Weeks
Corporate Finance Essentials (Coursera) Coursera
IESE Business School

Corporate Finance Essentials (Coursera)

Corporate Finance Essentials will enable you to understand key financial issues related to companies, investors, and the interaction between them in the capital markets. By the end of this course you should be able to understand most of what you read in the financial press and use the essential financial vocabulary of companies and finance professionals.

Oct 5th 2026
5-12 Weeks