Financial Research Agent
Run stock analysis, DCF valuation, and market research — from a single prompt.
The Workflow
| Step | What It Does |
|---|---|
| Financial Query | Searches for financial data using natural language |
| Stock Metrics | Fetches live prices, fundamentals, and key ratios |
| DCF Valuation | Calculates intrinsic value using discounted cash flow |
| Research Summary | Pulls company news, competitive context, and market sentiment |
How It Was Built
"Clone this repo https://github.com/virattt/dexter and create an agent that mimics it."
One sentence. MorphMind read the Dexter source code (15K+ stars, TypeScript), understood its architecture, and built a 4-step financial research workflow — no manual configuration.
Why This Works Better Than a Chatbot
Ask ChatGPT to "analyze NVDA stock" and you get a wall of text mixing prices, opinions, and outdated numbers. The problem:
- You can't tell what's a real number and what's generated — the stock price, the P/E ratio, the "analysis" are all in one paragraph. If the price is wrong, you don't know until you cross-check.
- The DCF model is a black box — you can't see the assumptions, adjust the discount rate, or swap the growth estimate. You get a number with no way to poke at the inputs.
- Ask again tomorrow and it starts fresh — no memory of which tickers you track, what valuation method you prefer, or what you corrected last time.
| The Problem | Workflow Approach |
|---|---|
| Prices, ratios, and opinions blended into one answer | Each step produces separate, verifiable output |
| DCF result with hidden assumptions | Valuation step shows inputs — edit the discount rate, re-run just that step |
| No memory of your portfolio or preferences | Agent remembers your tickers, methods, and corrections |
Example Prompts
Analyze NVDA — give me a full breakdown of price, fundamentals, and recent news
Run a DCF valuation on AAPL and tell me if it's overvalued
Compare MSFT and GOOG on revenue growth, margins, and valuation
Frequently Asked Questions
Can AI do stock analysis with real-time data?
This agent fetches live financial data through APIs — prices, fundamentals, and ratios are pulled at query time, not generated from training data. Each data point comes from a verifiable source.
How accurate is AI DCF valuation?
The agent runs a standard discounted cash flow model using real inputs. You can see and edit every assumption — growth rate, discount rate, terminal value. The math is transparent and re-runnable.
Can AI replace a financial analyst?
The agent automates data collection and standard analysis that normally takes hours. It doesn't replace judgment — it gives you the structured data to make faster decisions.