Python for algorithmic trading from idea to cloud deployment
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 stud...
Otros Autores: | |
---|---|
Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Beijing :
O'Reilly
[2021]
|
Edición: | First edition |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630883706719 |
Tabla de Contenidos:
- 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.