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---
title: Swift Stock Screener
emoji: 💹
colorFrom: green
colorTo: gray
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: true
license: apache-2.0
short_description: Search over 12k companies by theme (VSS) or similarity (NNS)
---
## Overview
**Swift Stock Screener (SSS)** is an interactive application that enables semantic and similarity-based stock screening across ~13,000 equities.
It combines **semantic vector search** on company descriptions with **nearest neighbor search** on financial fundamentals.
The app allows two main modes:
- **Theme search**: find stocks relevant to a concept (e.g., *“lithium”*, *“cloud computing”*).
- **Ticker similarity search**: find peers to a given stock (e.g., *NVDA* → other semiconductors).
Data (fundamentals and descriptions) is sourced from **Yahoo Finance**. Company **descriptions used in the semantic search** come directly from Yahoo Finance long summaries.
---
## Features
- **Semantic Theme Search**
Uses `FinLang/finance-embeddings-investopedia` to embed queries and company descriptions.
DuckDB with **HNSW vector index** executes approximate nearest neighbor search.
Re-ranking adds:
- **Literal rewards** (companies explicitly mentioning query terms boosted).
- **Brevity penalties** (companies with very short descriptions are penalized).
- **Ticker Similarity Search**
Uses normalized numeric fundamentals (e.g., Market Cap, P/E, Revenue Growth, Volatility).
Scikit-learn **NearestNeighbors** finds the closest peers.
A **Similarity Index (0–100)** is computed with a gamma distribution scaling to give intuitive scores.
- **Interactive Results Table**
Paginated grid view with columns:
- Name, Country, Sector, Market Cap
- 1yr Return, Volatility, P/E, Revenue Growth, Dividend Yield, Beta
Negative values are highlighted red.
- **Dynamic Filtering**
Click on a sector, industry, or country in the grid to filter results interactively.
Multiple filters can be applied in succession.
- **Company Details View**
- Company name + Yahoo Finance description.
- Full fundamentals table.
- **Radar chart** of 5 normalized metrics: Beta, Debt/Equity, 1yr Return, Revenue Growth, Volatility.
- **Controls**
- **Theme box**: free text search.
- **Ticker box**: find peers to a stock.
- **Search** / **Reset** / **Random ticker** buttons.
- Sorting by any metric.
---
## Architecture
- **Data**: Yahoo Finance fundamentals + descriptions.
- **Embeddings**: `FinLang/finance-embeddings-investopedia` (768-dim vectors).
- **Vector DB**: DuckDB with VSS extension + HNSW cosine index.
- **Ticker similarity**: Scikit-learn `NearestNeighbors` with Euclidean distance over normalized features.
- **UI**: Python + Gradio Blocks.
- **Visualization**: Plotly for radar chart.
---
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