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Python for Finance Cookbook
book

Python for Finance Cookbook

by Eryk Lewinson
January 2020
Beginner to intermediate
432 pages
11h 24m
English
Packt Publishing
Content preview from Python for Finance Cookbook

Backtesting a strategy based on simple moving average

The general idea behind backtesting is to evaluate the performance of a trading strategy—built using some heuristics or technical indicators—by applying it to historical data.

In this recipe, we introduce one of the available frameworks for backtesting in Python: backtrader. Key features of this framework include:

  • A vast amount of available technical indicators (backtrader also provides a wrapper around the popular TA-Lib library) and performance measures
  • Ease of building and applying new indicators
  • Multiple data sources available (including Yahoo Finance, Quandl)
  • Simulating many aspects of real brokers, such as different types of orders (market, limit, stop), slippage (the difference ...
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Publisher Resources

ISBN: 9781789618518