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Anotace knihy

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.

Parametry knihy

• Plný název: Algorithmic Trading with Python
• Podnázev: Quantitative Methods and Strategy Development
• Autor: Chris Conlan
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 128
• EAN: 9798632784986
• ID: 38307528
• Nakladatelství: Independently Published
• Hmotnost: 348 g
• Rozměry: 216 × 278 × 11 mm
• Datum vydání: 09. April 2020

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