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Bibliografi, Ej skönlitteratur, Text · Engelska

Python for finance : mastering data-driven finance

Yves J. Hilpisch (Författare)
LCCN 2020302172, NBN GBB914791, ISBN 9781492024330, ISBN 1492024333
Second edition
utgivning
Sebastopol, CA : O'Reilly, 2019, [2019]
xviii, 691 sidor
Yves Hilpisch
Bok

Tillgänglighet utifrån medietyp

kategori
Bibliografi, Ej skönlitteratur
ämne
Finance--Statistical methods--Data processing, Financial engineering--Data processing, Python (Computer program language), Programming languages (Electronic computers), Python (programspråk)

Sammanfattning

Python has become the programming language of choice for data-driven and AI-first finance. Some of the largest investment banks and hedge funds now use Python and its ecosystem for building core trading and risk management systems. In the second edition of this guide, Yves Hilpisch shows developers and quantitative analysts how to use Python packages and tools for financial data science, algorithmic trading, and computational finance

Innehållsförteckning

Part 1. Python and finance. Why Python for finance -- Python infrastructure -- Part 2. Mastering the basics. Data types and structures -- Numerical computing with NumPy -- Data analysis with pandas -- Object-oriented programming -- Part 3. Financial data science. Data visualization -- Financial time series -- Input/output operations -- Performance Python -- Mathematical tools -- Stochastics -- Statistics -- Part 4. Algorithmic trading. The FXCM trading platform -- Trading strategies -- Automated trading -- Part 5. Derivatives analytics. Valuation framework -- Simulation of financial models -- Derivatives valuation -- Portfolio valuation -- Market-based valuation

Detaljer

Medverkan och funktion
Yves J. Hilpisch (Författare)
Identifikator
LCCN 2020302172, NBN GBB914791, ISBN 9781492024330, ISBN 1492024333
har titel
Python for finance : mastering data-driven finance
upphovsuppgift
Yves Hilpisch
upplageuppgift
Second edition
utgivning
Sebastopol, CA : O'Reilly, 2019, [2019]
copyright
©2019
omfång
xviii, 691 sidor
anmärkning
  • Includes bibliographical references and index
Mått
24 cm
Övriga fysiska detaljer
illustrationer
Illustrativt innehåll
Illustrationer finns men typen specificeras ej
klassifikation
HG176.5 (LC-klassifikation)
Identifikator
Lokal identifikator 019221087
kontrollnummer
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