Backend: Java pulls in real-time financial news or social media data related to specific stocks and runs sentiment analysis using an algorithm (positive, neutral, negative sentiment).
Frontend: JavaScript allows users to input stock tickers, with Markdown displaying sentiment scores and trends over time. A graph or colored indicator (green for positive, red for negative) visualizes stock perception.
Data Collection:
Use a news API (e.g., NewsAPI, Financial Modeling Prep) to fetch articles or news about a particular stock ticker. You can query this API with the stock's name or ticker symbol to gather relevant articles.
Alternatively, use social media APIs like Twitter’s API to gather tweets related to the stock.
Sentiment Analysis:
Use a sentiment analysis library for Java like Stanford CoreNLP, LingPipe, or Apache OpenNLP. These libraries can help you determine the sentiment of each article or tweet (e.g., positive, neutral, or negative).
Cryptocurrency Price Comparison Tool
Backend: Java fetches real-time prices for various cryptocurrencies from multiple exchanges and compares the price differences.
Frontend: JavaScript creates a sortable data table where users can view, compare, and sort cryptocurrencies by factors like price, volume, or percent change. Markdown organizes the table, and users can click headers to sort the data (e.g., ascending/descending order by price).
Portfolio Performance Dashboard
Backend: Java processes a user's stock portfolio, calculates performance metrics (e.g., total return, individual stock performance, gains/losses over time), and stores historical data for comparison.
Frontend: JavaScript allows users to input their portfolio (e.g., stocks owned, purchase prices), and Markdown displays performance in a dashboard format. It includes graphs showing performance over time, total portfolio growth, and breakdowns by stock.
Investment Risk Calculator
Backend: Java processes portfolio inputs to calculate the risk score based on diversification, past volatility, and returns. It also provides suggestions to lower risk.
Frontend: JavaScript allows users to input portfolio details (stock percentages, asset types), and Markdown displays the calculated risk score with a visual gauge or chart to represent risk levels, along with investment advice.
Stock Sentiment Analyzer
Backend: Java pulls in real-time financial news or social media data related to specific stocks and runs sentiment analysis using an algorithm (positive, neutral, negative sentiment). Frontend: JavaScript allows users to input stock tickers, with Markdown displaying sentiment scores and trends over time. A graph or colored indicator (green for positive, red for negative) visualizes stock perception.
Data Collection:
Use a news API (e.g., NewsAPI, Financial Modeling Prep) to fetch articles or news about a particular stock ticker. You can query this API with the stock's name or ticker symbol to gather relevant articles. Alternatively, use social media APIs like Twitter’s API to gather tweets related to the stock. Sentiment Analysis:
Use a sentiment analysis library for Java like Stanford CoreNLP, LingPipe, or Apache OpenNLP. These libraries can help you determine the sentiment of each article or tweet (e.g., positive, neutral, or negative).
Cryptocurrency Price Comparison Tool
Backend: Java fetches real-time prices for various cryptocurrencies from multiple exchanges and compares the price differences. Frontend: JavaScript creates a sortable data table where users can view, compare, and sort cryptocurrencies by factors like price, volume, or percent change. Markdown organizes the table, and users can click headers to sort the data (e.g., ascending/descending order by price).
Portfolio Performance Dashboard
Backend: Java processes a user's stock portfolio, calculates performance metrics (e.g., total return, individual stock performance, gains/losses over time), and stores historical data for comparison. Frontend: JavaScript allows users to input their portfolio (e.g., stocks owned, purchase prices), and Markdown displays performance in a dashboard format. It includes graphs showing performance over time, total portfolio growth, and breakdowns by stock.
Investment Risk Calculator
Backend: Java processes portfolio inputs to calculate the risk score based on diversification, past volatility, and returns. It also provides suggestions to lower risk. Frontend: JavaScript allows users to input portfolio details (stock percentages, asset types), and Markdown displays the calculated risk score with a visual gauge or chart to represent risk levels, along with investment advice.