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Mastering Python for Finance

You're reading from   Mastering Python for Finance Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784394516
Length 340 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Python for Financial Applications FREE CHAPTER 2. The Importance of Linearity in Finance 3. Nonlinearity in Finance 4. Numerical Procedures 5. Interest Rates and Derivatives 6. Interactive Financial Analytics with Python and VSTOXX 7. Big Data with Python 8. Algorithmic Trading 9. Backtesting 10. Excel with Python Index

Building a mean-reverting algorithmic trading system


In the previous section, we established a connection to IB TWS and sent a market order of 100 shares. In this section, we will add logic functions to buy or sell a number of shares, read tick data, and track our positions. In essence, we will try to create a simple, fully automated algorithmic trading system.

Setting up the main program

Since our code might get a little complicated, let's tidy up and put everything into a class named AlgoSystem. We will import the following modules:

from ib.ext.Contract import Contract
from ib.ext.Order import Order
from ib.opt import Connection, message
import time
import pandas as pd
import datetime as dt

In the initialization section of our class, declare the following variables:

def __init__(self, symbol, qty, resample_interval,
             averaging_period=5, port=7496):
    self.client_id = 1
    self.order_id = 1
    self.qty = qty
    self.symbol_id, self.symbol = 0, symbol
    self.resample_interval...
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