April 2025
Intermediate to advanced
380 pages
9h 5m
Portuguese (Portugal, Brazil)
Content preview from Python para Negociação Algorítmica
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Capítulo 5. Prevê os movimentos do mercado com a aprendizagem automática
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
A Skynet começa a aprender a um ritmo geométrico. Torna-se autoconsciente às 2:14 da manhã, hora de Leste, a 29 de agosto.
O Exterminador(Terminator 2)
Nos últimos anos, registaram-se enormes progressos nos domínios da aprendizagem automática, da aprendizagem profunda e da inteligência artificial. O sector financeiro em geral e os operadores algorítmicos de todo o mundo em particular também tentam beneficiar destes avanços tecnológicos.
Este capítulo introduz técnicas de estatística, como a regressão linear, e de aprendizagem automática, como a regressão logística, para prever futuros movimentos de preços com base em retornos passados. Ilustra também a utilização de redes neuronais para prever os movimentos do mercado de acções. Este capítulo não pode, obviamente, substituir uma introdução completa à aprendizagem automática, mas pode mostrar, do ponto de vista de um profissional, como aplicar concretamente determinadas técnicas ao problema da previsão de preços. Para mais pormenores, consultar Hilpisch (2020).1
Este capítulo aborda os seguintes tipos de estratégias de negociação:
- Estratégias baseadas na regressão linear
-
Estas estratégias utilizam a regressão linear para extrapolar uma tendência ou para determinar a direção do movimento futuro dos preços de um instrumento financeiro. ...
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