Repository / RESOURCE PROFILE

Investing algorithm framework

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

Open-source Frameworks
github.comPython
Visit source website ↗
Screenshot unavailableResource information and source links remain available. Investing algorithm framework — reviewed source website screenshot
Reviewed source screenshot · recorded Oct 11, 2026 View source ↗

Overview

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

Topics & capabilities

quantbacktestinggithubframeworktrading-botcryptocurrencyalgorithmic-tradingtradepythontradingtrading-strategies

Repository information

Repository
coding-kitties/investing-algorithm-framework ↗
Repository owner
coding-kitties
Primary language
Python
Repository code license
Apache-2.0 ↗
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
2,168
Forks
312
Default branch
main
Last repository push
Sep 30, 2026
Latest release
v8.10.0 ↗
Release published
May 24, 2026
Project homepage
https://coding-kitties.github.io/investing-algorithm-framework/ ↗

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Source links & provenance

https://github.com/coding-kitties/investing-algorithm-framework ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

Explore related resources

Screenshot unavailableResource information and source links remain available. awesome-systematic-trading — browser editor — reviewed source website screenshot
WebsiteChecked capture

awesome-systematic-trading — browser editor

github.dev

Browser editor entry point for the wangzhe3224/awesome-systematic-trading resource collection.

Directory citations
1
Discovery sources
1
tradingquant-tools
Open-source Frameworks Explore →
98 Authority 98 / 100 Cited by 1 resources in this directory 1 discovery sources Directory record updated: 2026-10-14 How scoring works →

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