Backtesting-Trading-Strategies-with-Python

Backtesting-Trading-Strategies-with-Python

SharmaVidhiHaresh

In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-series data, I had tested the Moving Average(MA) cross-over strategy and Relative Strength Index (RSI) strategy with a stop loss at a price that closes 2% or more below 10-day MA. I had plotted the equity curve with drawdowns and P&L, as well as volume, relative strength index (RSI), stock pricing chart and simple moving averages.

29 Stars
13 Forks
29 Watchers
Jupyter Notebook Language
Cost to Build
$1.4K
Market Value
$1.9K

Growth over time

7 data points  ·  2021-08-01 → 2023-07-01
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What is the SharmaVidhiHaresh/Backtesting-Trading-Strategies-with-Python GitHub project? Description: "In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-series data, I had tested the Moving Average(MA) cross-over strategy and Relative Strength Index (RSI) strategy with a stop loss at a price that closes 2% or more below 10-day MA. I had plotted the equity curve with drawdowns and P&L, as well as volume, relative strength index (RSI), stock pricing chart and simple moving averages.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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