PyInvestment === PyInvestment is still very pre-alpha and under active development. Project Goals Provide a simple yet extensible framework to perform real time quantitative financial analysis. Provide a backtesting system to allow the user to test their trading strategy in as realistic of conditions as they see fit. Be simple enough for a beginner to pick up and use while being sophisticated enough that professionals will need to use it. Allow the user to use whatever data they want. Contributing Being pre-alpha means that we need contributors to help make this project a success. Don't hesitate to send me an email with questions or even a pull request with a new feature you think would fit into our framework. Setup (Ubuntu 64-bit) Docker Installation Add key server for official Docker repo, update package list, verify repo Verify that you are pointing to official Docker repo (optional) Install Docker, check to see if daemon is running Docker Build (Option 1: local) Use parameters in local Dockerfile to create docker instance (Option 2: repo)

⚠ No verified equity curve — no track-record source connected.

No score history is stored yet — only the current score is shown.

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility not provided.

Data-completeness & trust index (not a profitability rating)