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# 🔷 Prism
A local financial analysis dashboard. Enter any stock ticker to get a formatted view of financial statements, valuation metrics, a DCF model, and a news feed — all in your browser.
---
## Features
- **Market Bar** — Live S&P 500, NASDAQ, DOW, and VIX at the top of every page
- **Overview** — Price chart (1M / 3M / 6M / 1Y / 5Y), key stats (market cap, P/E, 52W range, beta)
- **Financials** — Annual and quarterly Income Statement, Balance Sheet, and Cash Flow Statement with year-over-year % change columns
- **Valuation** — Key ratios grid (P/E, EV/EBITDA, margins, ROE, etc.), interactive DCF model with adjustable WACC and growth rate, comparable companies table
- **News** — Recent articles with Bullish / Bearish / Neutral sentiment badges and a 7-day sentiment summary
---
## Setup
### 1. Clone / navigate to the project
```bash
cd ~/Work/prism
```
### 2. Activate the virtual environment
```bash
source .venv/bin/activate
```
### 3. Add API keys
```bash
cp .env.example .env
```
Open `.env` and fill in your keys:
```
FMP_API_KEY=your_key_here
FINNHUB_API_KEY=your_key_here
```
Both are **free**:
- **FMP** (Financial Modeling Prep) — [financialmodelingprep.com](https://financialmodelingprep.com/developer/docs) — 250 requests/day
- **Finnhub** — [finnhub.io](https://finnhub.io) — 60 requests/minute
> **No keys?** The app still works. Price data, financials, and market indices are sourced from `yfinance` (no key required). Ratios, comps, and news won't load until keys are added.
### 4. Run the app
```bash
streamlit run app.py
```
Opens at `http://localhost:8501`
---
## Daily Usage
```bash
cd ~/Work/prism
source .venv/bin/activate
streamlit run app.py
```
---
## Project Structure
```
prism/
├── app.py # Entry point
├── requirements.txt
├── .env # Your API keys (not committed)
├── .env.example # Key template
├── .streamlit/
│ └── config.toml # Dark theme + layout settings
├── services/
│ ├── data_service.py # yfinance — price, financials, indices
│ ├── fmp_service.py # FMP API — ratios, peers
│ ├── news_service.py # Finnhub — news + sentiment
│ └── valuation_service.py # DCF engine (Gordon Growth Model)
├── components/
│ ├── market_bar.py # Index metrics row
│ ├── overview.py # Company header + price chart
│ ├── financials.py # Statement tables
│ ├── valuation.py # Ratios, DCF, comps
│ └── news.py # News feed
└── utils/
└── formatters.py # Number formatting helpers
```
---
## DCF Model Notes
The DCF model uses **5 years of historical Free Cash Flow** from yfinance to compute an average growth rate, then projects forward using your chosen assumptions:
| Input | Default | Range |
|---|---|---|
| WACC | 10% | 5–20% |
| Terminal Growth Rate | 2.5% | 0.5–5% |
| Projection Years | 5 | 3–10 |
The model uses the **Gordon Growth Model** for terminal value. Intrinsic value per share is compared against the current market price to show upside/downside.
---
## API Rate Limits
| Source | Limit | Used For |
|---|---|---|
| yfinance | None | Price, financials, indices |
| FMP (free) | 250 req/day | Ratios, comps, news |
| Finnhub (free) | 60 req/min | News, sentiment |
Data is cached in-memory per session to minimize API calls (financials: 1h, news: 10min, indices: 5min).
|
