April 2025
Intermediate to advanced
478 pages
11h 57m
Portuguese (Portugal, Brazil)
Content preview from Inteligência Artificial nas Finanças
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Capítulo 10. Backtesting Vetorizado
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Elon Musk, presidente executivo da Tesla e empreendedor tecnológico em série, afirmou que os carros da sua empresa poderão ser chamados e conduzidos de forma autónoma em todo o território dos EUA para ir buscar os seus proprietários nos próximos dois anos.
Samuel Gibbs (2016)
Ganha-se muito dinheiro no mercado de acções se estiveres do lado certo dos grandes movimentos.
Martin Zweig
O termo backtesting vetorizado refere-se a uma abordagem técnica do backtesting de estratégias de negociação algorítmicas, como as baseadas numa rede neural densa (DNN) para a previsão do mercado. Os livros de Hilpisch (2018, cap. 15; 2020, cap. 4) abordam o backtesting vectorizado com base numa série de exemplos concretos. Neste contexto, "vectorizado " refere-se a um paradigma de programação que se baseia fortemente ou mesmo exclusivamente em código vetorizado (ou seja, código sem qualquer looping a nível Python). A vetorização de código é uma boa prática com pacotes como Numpy oupandas em geral, e também foi usada intensivamente em capítulos anteriores. Os benefícios do código vetorizado são um código mais conciso e fácil de ler, bem como uma execução mais rápida em muitos cenários importantes. Por outro lado, pode não ser tão flexível no backtesting de estratégias de negociação como, por exemplo, o backtesting baseado em eventos, que é introduzido ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.