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thomasmbarrick/Algorithmic-Trading-Strategy-Development

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This repository contains the implementation of a mean reversion trading strategy using historical stock price data. The strategy is developed and backtested using Python and the Backtrader library. This project aims to demonstrate the process of building, testing, and optimizing an algorithmic trading strategy.

active 2024-06-172024-07-02 (UTC)

Complete coverage27,235 / 27,237 hourly files (100%) · 2 absent upstream2023-08-152026-09-22 (UTC)
Events
18
Pushes
15
Pull requests
0
Issues
0
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 16 days from 2024-06-17 to 2024-07-02. Pushes: 15 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
thomasmbarrick151500

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.