TIANHE
2.9 KiB
Contributing to QuantDinger
QuantDinger is a local-first, private AI-driven quantitative trading workspace.
It is designed for people who care about:
- data sovereignty
- local execution
- transparent systems
- engineering over hype
This project is still early, but it is real: real code, real users, real execution.
We welcome contributors who want to help build something long-term.
⚠️ Important Note (Please Read)
QuantDinger is not a DAO. There is no token, no airdrop, and no financial incentive at this stage.
If you are looking for short-term rewards, promotions, or token speculation, this project is probably not a good fit.
If you are interested in:
- building credible infrastructure
- publishing real work under your name
- shaping an early-stage system
then you are very welcome here.
🧭 What Contribution Means Here
Contributing to QuantDinger means creating public, verifiable work.
Your contributions:
- are credited publicly
- can be referenced in your resume or portfolio
- remain yours, even outside this project
This is a builder-first environment.
🧑💻 Areas You Can Contribute To
1. Core Engineering
- Python strategy engine
- execution logic
- AI / LLM agent workflows
- backtesting and data pipelines
You don’t need to touch everything. One focused improvement is enough.
2. Strategy & Research
- example strategies
- research notebooks
- execution experiments
- performance analysis
If you want to show how you think, this is a great place to do it.
3. Documentation & Explanation
- tutorials
- architecture explanations
- setup guides
- design rationale
Good explanations are as valuable as good code.
4. Content & Advocacy
- technical blog posts
- demo videos
- system breakdowns
- honest reviews or critiques
You are not “marketing”. You are explaining something real.
🏷️ Recognition
All meaningful contributions are acknowledged through:
- GitHub attribution
- documentation credits
- official mentions (docs / demos / videos)
We care about signal, not volume.
🚀 How to Start
- Star the repository
- Read the README and roadmap
- Open an issue or discussion describing:
- what you want to improve
- why it matters
- Submit a PR or contribution
Small, clear contributions > big promises.
🧠 A Note on the Future
QuantDinger may explore incentive mechanisms in the future. Nothing is promised, scheduled, or guaranteed.
What is guaranteed:
- your work will be visible
- your name will be attached to it
- your contribution will remain valuable to you
📬 Contact & Discussion
- GitHub Discussions (preferred)
- Issues for technical questions
If you want to contribute seriously, start with an issue. If the fit is right, the collaboration will grow naturally.
Build carefully. Build openly. Build things that last.