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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
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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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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

Placing a simple REGULAR order

This recipe demonstrates how to place a REGULAR order on the exchange via the broker. REGULAR orders are the simplest types of orders. After trying out this recipe, check your broking account by logging into the broker's website; you will find that an order has been placed there. You can match the order ID with the one that's returned in the last code snippet shown in this recipe.

Getting ready

Make sure the broker_connection object is available in your Python namespace. Refer to the first recipe of this chapter to learn how to set up this object.

How to do it…

We execute the following steps to complete this recipe:

  1. Import the necessary constants from pyalgotrading:
>>> from pyalgotrading.constants import *
  1. Fetch an instrument for a specific trading symbol and exchange:
>>> instrument = broker_connection.get_instrument(segment='NSE', 
tradingsymbol='TATASTEEL')
  1. Place a simple regular order – a BUY, REGULAR, INTRADAY, MARKET order:
>>> order_id = broker_connection.place_order(
instrument=instrument,
order_transaction_type= \
BrokerOrderTransactionTypeConstants.BUY,
order_type=BrokerOrderTypeConstants.REGULAR,
order_code=BrokerOrderCodeConstants.INTRADAY,
order_variety= \
BrokerOrderVarietyConstants.MARKET,
quantity=1)
>>> order_id

We'll get the following output:

191209000001676

How it works…

In step 1, you import constants from pyalgotrading. In step 2, you fetch the financial instrument with segment = 'NSE' and tradingsymbol = 'TATASTEEL' using the get_instrument() method of broker_connection. In step 3, you place a REGULAR order using the place_order() method of broker_connection. The descriptions of the parameters accepted by the place_order() method are as follows:

  • instrument: The financial instrument for which the order must be placed. Should an instance of the Instrument class. You pass instrument here.
  • order_transaction_type: The order transaction type. Should be an enum of type BrokerOrderTransactionTypeConstants. You pass BrokerOrderTransactionTypeConstants.BUY here.
  • order_type: The order type. Should be an enum of type BrokerOrderTypeConstants. You pass BrokerOrderTypeConstants.REGULAR here.
  • order_code: The order code. Should be an enum of type BrokerOrderCodeConstants. You pass BrokerOrderCodeConstants.INTRADAY here.
  • order_variety: The order variety. Should be an enum of type BrokerOrderVarietyConstants. You pass BrokerOrderVarietyConstants.MARKET here.
  • quantity: The number of shares to be traded for the given instrument. Should be a positive integer. We pass 1 here.

If the order placement is successful, the method returns an order ID which you can use at any point in time later on for querying the status of the order.

A detailed explanation of the different types of parameters will be covered in Chapter 6, Placing Trading Orders on the Exchange. This recipe is intended to give you an idea of how to place a REGULAR order, one of the various types of possible orders.
You have been reading a chapter from
Python Algorithmic Trading Cookbook
Published in: Aug 2020
Publisher: Packt
ISBN-13: 9781838989354
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