MarketPulse
AI-Powered Stock Market Analysis & Investment Companion
Created on 23rd February 2025
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MarketPulse
AI-Powered Stock Market Analysis & Investment Companion
The problem MarketPulse solves
Time constraints - students and employees are not able to keep abreast with happenings in the market during trading hours.
Complex market data- Market data can be very complicated and understanding stock indicators, trends, and news sentiments will require expertise.
Emotional decision-making- Most investments can be made on an emotional basis. Investors will buy or sell on the basis of hype and fear rather than relying on hard data.
Risk of financial loss - They will put their money into risk-laden stocks without an understanding of the dangers actually being exposed to financial loss.
Challenges we ran into
- Handling Large-Scale Financial Data Efficiently
Challenge: Processing real-time stock data, technical indicators, and news sentiment while ensuring smooth performance.
Solution: We optimized our data pipelines using Yahoo Finance API, implemented asynchronous data fetching, and leveraged caching mechanisms to improve speed and efficiency. - Improving AI Prediction Accuracy
Challenge: Stock market trends are highly volatile, so predicting accurately with AI proved to be a challenge.
Solution: We enhanced our machine learning models by incorporating historical stock trends, technical indicators, and sentiment analysis from financial news to improve prediction reliability. - Creating an Engaging Yet Lightweight Trading Game
Challenge: A stock trading simulator that is entertaining yet efficient to use.
Solution: With React.js for seamless UI, minimal API calls, and realistic trading scenarios that blend fun and practicality for learning. - Ensuring AI-Driven Investment Guidance is Trustworthy
Challenge: Providing meaningful investment insights without misleading users.
Solution: To integrate multiple stock indicators (e.g., RSI, MACD) along with the sentiment analysis of news to ensure that AI-powered recommendations were well-informed and useful. - Making the Platform Useful for Busy Users
Challenge: Some students and working professionals don't have time to monitor the stock market during trading hours.
Solution: Following post-market analysis, which allows users to access AI-generated stock insights at their own convenience and thus assists their decision-making regarding buying stocks without constant monitoring.
Tracks Applied (2)
MongoDB
Major League Hacking
Gen Ai
Major League Hacking
Technologies used
Discussion
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