 |
ISBN
| 9781492053354 | |
DDC
| 332.64 | |
Tác giả CN
| Hilpisch, Yves J. | |
Nhan đề
| Python for algorithmic trading : from idea to cloud deployment / Yves J. Hilpisch | |
Lần xuất bản
| 1st ed. | |
Thông tin xuất bản
| Sebastopol, CA : O'Reilly, 2021 | |
Mô tả vật lý
| 379 pages. : illustrations ; cm. | |
Phụ chú
| Includes index | |
Tóm tắt
| Financial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem 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. By 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 platforms | |
Từ khóa tự do
| Quantitative finance | |
Từ khóa tự do
| Algorithmic trading | |
Từ khóa tự do
| Trading strategies | |
Từ khóa tự do
| Financial markets | |
Từ khóa tự do
| Python | |
Từ khóa tự do
| Algorithmic trading | |
Từ khóa tự do
| Automated trading systems | |
Từ khóa tự do
| Cloud deployment | |
Từ khóa tự do
| Data-driven finance | |
Từ khóa tự do
| Machine learning in finance | |
Khoa
| Khoa Tài chính - Kế toán | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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| 100 | |aHilpisch, Yves J. |
|---|
| 245 | |aPython for algorithmic trading : |bfrom idea to cloud deployment / |cYves J. Hilpisch |
|---|
| 250 | |a1st ed. |
|---|
| 260 | |aSebastopol, CA : |bO'Reilly, |c2021 |
|---|
| 300 | |a379 pages. : |billustrations ; |ccm. |
|---|
| 500 | |aIncludes index |
|---|
| 520 | |aFinancial trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem 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. By 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 platforms |
|---|
| 653 | |aQuantitative finance |
|---|
| 653 | |aAlgorithmic trading |
|---|
| 653 | |aTrading strategies |
|---|
| 653 | |aFinancial markets |
|---|
| 653 | |aPython |
|---|
| 653 | |aAlgorithmic trading |
|---|
| 653 | |aAutomated trading systems |
|---|
| 653 | |aCloud deployment |
|---|
| 653 | |aData-driven finance |
|---|
| 653 | |aMachine learning in finance |
|---|
| 690 | |aKhoa Tài chính - Kế toán |
|---|
| 691 | |aTài chính ngân hàng |
|---|
| 852 | |aThư Viện Đại học Nguyễn Tất Thành |
|---|
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