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1
Introduction
2
Creating a new script
3
Strategy rules
4
End of the month rule
5
Last day of the month
6
Group by
7
Moving Average Strategy
8
Technical Indicators
9
Data Feed
10
Moving Average
11
Running the Strategy
12
Verifying the Strategy
13
Function Calls
14
Results
Description:
Learn to implement and backtest a 200-day moving average trading strategy using PyAlgoTrade in this comprehensive tutorial. Explore advanced features including built-in technical indicators, equity growth visualization, and trade analyzers to assess winning trade percentages and maximum drawdown. Gain hands-on experience with creating scripts, defining strategy rules, handling end-of-month scenarios, and utilizing group-by functions. Master the application of moving averages, data feeds, and strategy execution while verifying results and interpreting function calls for a deeper understanding of algorithmic trading techniques.

PyAlgoTrade Tutorial - Technicals, Analyzers, and Plotting

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