Hey IH!
18 months ago I started building ACIS - an AI-powered portfolio management platform. No VC money. No team of 20. Just obsessive focus on one problem: can ML actually beat the market?
The answer is yes. 34% returns in 3 months. S&P did 7%. Real money, not backtesting.
What I built:
8 distinct investment strategies (dividend, value, growth, + market cap variants)
LightGBM models that score 1,700+ stocks every night
JAX reinforcement learning for portfolio optimization
Personal portfolio analyzer - users upload holdings, get instant ML health grades
Daily market digest with AI-summarized news (using Perplexity)
Full API for white-label integration
Tech stack:
FastAPI + Python 3.11 backend
React + Vite frontend
PostgreSQL (65 tables, 23GB)
LightGBM + JAX/Flax for ML
Claude API for AI insights
Total infra cost: $300/month on Hetzner
The pivot:
I'm not raising. I'm not trying to scale to 100K users. The real value here is the technology.
Brokerages, robo-advisors, and fintech platforms are all racing to add AI capabilities. Building this from scratch takes 2-3 years of R&D. I've already done it.
So I'm positioning for acquisition. Looking for someone with fintech M&A relationships who wants to partner on finding the right buyer.
Numbers that matter:
Spearman IC consistently > 0.03 (our predictions beat random)
Hit rate > 52% (small edge, but compounding)
Long-short spread > 2% (top picks vs bottom picks)
Fully autonomous - runs every night without intervention
Would love feedback from anyone who's been through an acquisition process. What worked? What didn't?
Check it out: acis-trading.com