I’ve been building DepthSight for the past year - a self-hosted algorithmic trading platform that you run entirely on your own hardware, so your API keys and trading logic never touch a third-party server (like 3Commas or Veles).
Instead of writing code, it features a drag-and-drop node editor (40+ logic blocks) where you can build complex strategies, cross-reference indicators, and manage risk dynamically. It also includes an AI assistant that can generate strategy structures from text prompts or even screenshots of chart setups.
Since Lemmy is built on federation, I thought you guys might appreciate the architecture: DepthSight nodes can opt-in to connect to a central Federation Hub. This creates a community network where self-hosted nodes can share verified strategy templates, discuss trading ideas, and form a global node topology map.
Features out of the box:
- Visual strategy builder
- Federation Hub
- Dual backtesting engines
- Dynamic risk management that adapts per trading pair
- Multi-tenant support (JWT, Redis quotas) if you want to host it for others
Stack: FastAPI, Celery, Redis, PostgreSQL, React (with a mobile-optimized PWA). AGPLv3 licensed. Runs with a single deployment script (curl | bash).
Github: https://github.com/DepthSight-Pro/DepthSight
Built this solo (heavily leveraging LLMs for the heavy lifting in code generation). Would love to get some feedback from the self-hosted community, especially on the architecture or features you’d want to see added!
Calling an enterprise-grade platform featuring a 40+ node visual graph editor, dual backtesting engines, and full multi-tenant isolation “AI slop” just because an LLM accelerated the syntax development is pure ideological gatekeeping. This “slop” objectively outperforms every proprietary $100/mo trading SaaS and basic CLI script in existence right now. If you have an actual architectural critique regarding the FastAPI/Celery setup, the PgBouncer integration, or the Redis ACL security model, I’m all ears. Otherwise, you’re just yelling at a cloud.
Evolve. Or Don’t Look Up.
Ooh, I made you mad enough to use your own words instead of telling the chatbot to write your reply! I’ll do it again: Slop.
Actually, I’m still using an LLM to write this, since English isn’t my native language (as I mentioned earlier).
It’s a pity that, unlike an LLM, you clearly didn’t grasp the reference at the end of my last message. You should probably paste it into one of them—they’ll gladly explain it to you.