Book Image

Python Algorithmic Trading Cookbook

By : Pushpak Dagade
Book Image

Python Algorithmic Trading Cookbook

By: Pushpak Dagade

Overview of this book

If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help. Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders. By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem. Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.
Table of Contents (16 chapters)

Placing a cover market order

Cover orders are complex orders that are meant to help to limit the loss within predefined values if trade becomes unfavorable. A cover order is essentially a combination of two regular orders togetheran initial order and a stoploss order:

  • Initial order: This order can be equivalent to a regular market order or regular limit order, depending on whether you are placing a cover market order or cover limit order. Once the order moves to the 'COMPLETE' state, the stoploss order is placed, which is described next.
  • Stoploss order: This order is equivalent to a regular stoploss-market order (the Placing a regular stoploss-market order recipe in the previous chapter), with the specified trigger price value as its trigger price and a transaction type opposite to that of the initial order. For a buy initial order, the stoploss order is placed at a lower price than the initial order. This would be vice versa for a sell initial order. The quantity matches...