Sentiment News is a web app dedicated to exploring the relationship between financial news article sentiment and the price action of related stocks. The goal of this project was to quantify how positive or negative sentiment in news articles can influence stock price fluctuations. For example, when a news article about a company's success is published, the stock price of that company is expected to increase. This app creates insights into this phenomenon by analyzing news article sentiment and correlating it with stock price changes.

Backend Repo

• View news articles with their associated sentiment and price action
• Filter for articles based on ticker, sentiment, price action, and keywords

• View over 15,000 stocks listed in the US Stock Exchange
• Filter for stocks based on ticker or keywords

• View line charts, EOD data, and realtime stock data

• TypeScript
• Next.js
• TailwindCSS

First, install the dependencies:

npm install
# or
yarn
# or
pnpm install

Then, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev

Open http://localhost:3000 with your browser to see the result.

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.