Investment
Intelligence Engine

Technical Analyst — reading momentum
System nominal

Attention doesn't scale with headcount.

Senior advisors could give real, reasoned attention to maybe forty households each. Everyone else got a templated quarterly email and a rebalancing algorithm with no explanation attached.

Seven specialists, one accountable decision.

A technical, sentiment, and fundamental analyst each read the market independently. A bull and a bear researcher argue the position. A portfolio manager sizes it, a risk manager checks it — and a human signs off before a client ever sees it.

A short, auditable chain.

Agents

LangGraph

LLMs

Claude + FinBERT

Portfolio + Risk Engine

Black-Litterman

Human Review

Why, briefly.

  • LangGraphevery hand-off between specialists is an inspectable node, not a buried prompt.
  • Claudereasoning long enough to explain itself in language a client can read.
  • Black-Littermanblends every view so no single confident agent can dominate the portfolio.

Recorded results.

0

Portfolios advised

<4s

Avg. response time

0

Client retention

What's next.

Now

Live for paper trading, backtesting, and human-approved recommendations.

Next

Tax-loss harvesting that factors in each client's specific tax situation.

01Documentation

README

Complete project documentation.

02Source

Production Repository

Private source code.

Available during technical discussions.

Tech Stack

Frontend

Next.js

Backend

FastAPI

AI

LangGraph · Claude · FinBERT

Finance

Black-Litterman

Infrastructure

PostgreSQL · Redis

Interested in this project?

Let's discuss it — schedule a live walkthrough.