FinAgent — Autonomous Wealth Research Assistant

An agentic financial research tool that autonomously pulls SEC EDGAR 10-K filings, runs FinBERT sentiment analysis on risk factors, fetches live market data, and synthesizes a professional investment brief for Financial Advisors.

Built to demonstrate applied NLP, agentic systems, and generative AI in a wealth management context.

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What It Does

Enter any stock ticker and FinAgent autonomously:

1. Pulls the latest 10-K filing directly from SEC EDGAR
2. Extracts the Risk Factors section from the raw filing document
3. Runs FinBERT sentiment analysis — a financial domain NLP model — across the risk factors text
4. Fetches live market data via Yahoo Finance (price, market cap, P/E, analyst rating, revenue, margins)
5. Generates a structured investment brief using GPT-4o-mini, synthesizing all of the above into a document a Financial Advisor could present to a client

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Tech Stack

| Component | Technology | | Agentic Orchestration | LangChain | | Financial NLP | FinBERT (ProsusAI) | | SEC Filings | SEC EDGAR Downloader | | Market Data | Yahoo Finance (yfinance) | | LLM | GPT-4o-mini (OpenAI) | | Frontend | Streamlit | | Language | Python |

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Architecture

User Input (Ticker) │ ▼ SEC EDGAR Agent ──► 10-K Filing │ ▼ Parser ──► Risk Factors Section │ ▼ FinBERT Sentiment Agent ──► Sentiment Scores │ ▼ Yahoo Finance Agent ──► Live Market Data │ ▼ Research Agent (GPT-4o-mini) ──► Investment Brief │ ▼ Streamlit UI

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Sample Output

Ticker: AAPL

• Overall Risk Sentiment: NEGATIVE (57.8%)
• Current Price: $301.54 | Market Cap: $4.43T
• Analyst Rating: BUY
• Generated a 500-word investment brief covering company snapshot, risk assessment, market position, and recommendation

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Setup

git clone https://github.com/Ramondg16/FinAgent.git
cd FinAgent
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Add your OpenAI API key to a .env file: OPENAI_API_KEY=your_key_here Run locally:

streamlit run app.py

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Why I Built This

Financial Advisors at wealth management firms deal with enormous volumes of SEC filings, research reports, and market data. FinAgent automates the research pipeline — pulling, analyzing, and synthesizing that information into actionable briefs. This directly mirrors the kind of AI-driven decision support that enterprise wealth management teams are building today.