Nemokamas pristatymas nuo 29€

  • check 10 + milijonai knygų
  • check Naujienos (kiekvieną dieną)
  • check 1 + mln. klientų mus pasitiki
  • check Geros kainos % Nuolaidos
  • check Nemokamas pristatymas nuo 29 eur

Algorithmic Trading with Python Quantitative Methods and Strategy Development - Chris Conlan

Anglų
2020-04-09
27,77 € 37,03 €

-25% su kodu BOOKS

Turime sandėlyje pas mūsų tiekėją

Pristatymas per 10-16 d.d.

30 dienų grąžinimo politika

Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reproducibility. ... Visas aprašymas

Jums taip pat gali patikti

Aprašymas

Algorithmic Trading with Python discusses modern quant trading methods in Python with a heavy focus on pandas, numpy, and scikit-learn. After establishing an understanding of technical indicators and performance metrics, readers will walk through the process of developing a trading simulator, strategy optimizer, and financial machine learning pipeline. This book maintains a high standard of reproducibility. All code and data is self-contained in a GitHub repo. The data includes hyper-realistic simulated price data and alternative data based on real securities. Algorithmic Trading with Python (2020) is the spiritual successor to Automated Trading with R (2016). This book covers more content in less time than its predecessor due to advances in open-source technologies for quantitative analysis.

Daugiau informacijos

Autorius Chris Conlan
Leidėjas Independently Published
Išleidimo metai 2020
Viršelio tipas Minkšti viršeliai
EAN 9798632784986
Parašykite savo atsiliepimą
Jūs peržiūrėjote: Algorithmic Trading with Python Quantitative Methods and Strategy Development
Jūsų įvertinimas:

Goodreads Atsiliepimai

27,77 € 37,03 €