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Python Algorithmic Trading Cookbook

You're reading from   Python Algorithmic Trading Cookbook All the recipes you need to implement your own algorithmic trading strategies in Python

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781838989354
Length 542 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Pushpak Dagade Pushpak Dagade
Author Profile Icon Pushpak Dagade
Pushpak Dagade
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Toc

Table of Contents (16) Chapters Close

Preface 1. Handling and Manipulating Date, Time, and Time Series Data 2. Stock Markets - Primer on Trading FREE CHAPTER 3. Fetching Financial Data 4. Computing Candlesticks and Historical Data 5. Computing and Plotting Technical Indicators 6. Placing Regular Orders on the Exchange 7. Placing Bracket and Cover Orders on the Exchange 8. Algorithmic Trading Strategies - Coding Step by Step 9. Algorithmic Trading - Backtesting 10. Algorithmic Trading - Paper Trading 11. Algorithmic Trading - Real Trading 12. Other Books You May Enjoy Appendix I
1. Appendix II
2. Appendix III

The market depth of a financial instrument

The market depth of a financial instrument is a chronological list of data on buyers and sellers in the market. The buyers list is a list of prices and their respective quantities at which the buyers are willing to buy the instrument for. Similarly, the sellers list is a list of prices and their respective quantities at which the sellers are willing to sell the instrument for. If you are new to the concept of market depth, the explanation in the How it works… section of this recipe will give you more clarity.

Market depth helps in predicting where the price of an instrument is heading. It also helps to understand whether an order with a large quantity can change the price significantly or not. Market depth is dynamic in nature, meaning it changes constantly during the live trading hours. This recipe helps find out the market depth of a financial instrument in real time.

Getting ready

Make sure the broker_connection and instrument1 objects...

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