MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02624nam a22002777a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240504165405.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230315t20202021caua b 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2021276792 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC0K1546 |
| Source |
bnb |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789385889547 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
IIITD |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.133 |
| Item number |
HIL-P |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hilpisch, Yves J |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Python for algorithmic trading : |
| Remainder of title |
from idea to cloud deployment |
| Statement of responsibility, etc |
by Yves Hilpisch |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New Delhi : |
| Name of publisher, distributor, etc |
Shroff Publishers, |
| Date of publication, distribution, etc |
©2020 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 358 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 501 ## - WITH NOTE |
|---|
| With note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Title |
1. Python and algorithmic trading -- 2. Python infrastructure -- 3. Working with financial data -- 4. Mastering vectorized backtesting -- 5. Predicting market movements with machine learning -- 6. Building classes for event-based backtesting -- 7. Working with real-time data and sockets -- 8. CFD trading with Oanda -- 9. FX trading with FXCM -- 10. Automating trading operations. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and indivisual traders using online platforms. The tool of choice for many traders today is Python and its ecosystems of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy and sell-side institutions make heavy use of Python. Ny exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading ; Learn how to retrieve financial data from public and proprietary data sources ; Explore vectorization for financial analytics with NumPy and pandas ; Master vectorized backtesting of different algorithmic trading strategies ; Generate market predictions by using machine learning and deep learning ; Tackle real-time processing of streaming data with socket programming tools ; Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Electronic trading of securities. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
