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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
Algorithmic Trading - Real Trading

Now that we've built various algorithmic trading strategies and successfully backtested them with satisfactory results and paper traded them in live markets, it is finally time for real trading.

Real trading is where we execute a trading strategy in the live market hours with real money. If your strategy has performed well in backtesting and paper trading, you can expect similar results with real money. Please note that your strategy may not perform as expected in the real market, despite giving good backtesting and paper trading results. Profitable backtesting and paper trading results are prerequisites for a profitable real trading experience but are not sufficient to guarantee a profit for every session.

For real trading, a strategy configuration is required. It consists of multiple parameters, some of which are as follows:

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