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37071692
Python Algorithmic Trading Cookbook: All the recipes you need to implement your own algorithmic trading strategies in Python
75% of respondents would recommend this to a friend
Item #:
37071692
PYG 358899
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Build a strong foundation in algorithmic trading by becoming well-versed with the basics of financial markets
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Product Details
- Build a strong foundation in algorithmic trading using Python
- Demystify trading jargon and place multiple types of trading orders
- Devise trading strategies to increase profit odds without human intervention
- Learn to fetch financial instruments and calculate various types of candles and historical data in Python
- Understand how to place various types of trading orders, such as regular, bracket, and cover orders
- Suitable for financial analysts, traders, and anyone interested in algorithmic trading with Python
| Publisher | Packt Publishing |
| Publication date | August 28, 2020 |
| Language | English |
| Print length | 542 pages |
| ISBN-10 | 1838989358 |
| ISBN-13 | 978-1838989354 |
| Item Weight | 2.03 pounds (920 grams) |
| Dimensions | 7.5 x 1.23 x 9.25 inches (19.1 x 3.1 x 23.5 cm) |
Product Description
Python Algorithmic Trading Cookbook: All the recipes you need to implement your own algorithmic trading strategies in Python
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Data Modeling & Design Editorial Review
The Python Algorithmic Trading Cookbook is a comprehensive guide to implementing algorithmic trading strategies using Python. The book begins with an introduction to Jupyter Notebook and data processing, leading on to addressing Broker Interface, and candle plotting. The book provides several chapters on submitting various types of Broker requests and evaluating their responses. However, it does not include any information on selecting investment entities or predicting buy/sell operations. The book has received high praises from customers who found it helpful in starting with Python language for trading. It has well-explained concepts and is easy to follow, making it ideal for individuals new to Python.
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Pros
- Comprehensive guide to implementing algorithmic trading strategies using Python.
- Provides an introduction to Jupyter Notebook and data processing.
- Well-explained concepts make it easy to follow, making it ideal for beginners.
Cons
- Does not include information on selecting investment entities or predicting buy/sell operations.
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PYG 358899
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Features & Benefits
- Develop, test and execute algorithmic trading strategies with Python
- Understand financial markets and trading orders
- Fetch market data and calculate technical indicators
- Perform backtesting and paper trading
- Automate trading and find effective strategies for decision-making
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