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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

Calculating the brokerage charged

For every order completed successfully, the broker may charge a certain fee, which is usually a small fraction of the price at which the instrument was bought or sold. While the amount may seem small, it is important to keep track of the brokerage as it may end up eating a significant chunk of your profit at the end of the day.

The brokerage that's charged varies from broker to broker and also from segment to segment. For the purpose of this recipe, we will consider a brokerage of 0.01%.

How to do it…

We execute the following steps to complete this recipe:

  1. Calculate the brokerage that's charged per trade:
>>> entry_price = 1245
>>> brokerage = (0.01 * 1245)/100
>>> print(f'Brokerage charged per trade: {brokerage:.4f}')

We'll get the following output:

Brokerage charged per trade: 0.1245
  1. Calculate the total brokerage that's charged for 10 trades:
>>> total_brokerage = 10 * (0.01 * 1245) / 100
>>> print(f'Total Brokerage charged for 10 trades: \
{total_brokerage:.4f}')

We'll get the following output:

Total Brokerage charged for 10 trades: 1.2450

How it works…

In step 1, we start with the price at which a trade was bought or sold, entry_price. For this recipe, we have used 1245. Next, we calculate 0.01% of the price, which comes to 0.1245. Then, we calculate the total brokerage for 10 such trades, which comes out as 10 * 0.1245 = 1.245.

For every order, the brokerage is charged twice. The first time is when the order has entered a position, while the second time is when it has exited the position. To get the exact details of the brokerage that's been charged for your trades, please refer to the list of charges offered by your broker.
You have been reading a chapter from
Python Algorithmic Trading Cookbook
Published in: Aug 2020
Publisher: Packt
ISBN-13: 9781838989354
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