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A market analytics platform that visualises stock price history, computes technical indicators, and uses LSTM models to forecast short-term price trends.
Problem Statement
Retail investors rely on tips and scattered charts. They lack a single tool that combines indicators, news sentiment, and model-based forecasts.
Objectives
Collect and store historical market data
Compute technical indicators such as RSI and MACD
Train LSTM models for trend prediction
Build an interactive charting dashboard
Modules
Data Collector
Scheduled fetching of prices and news with Redis caching.
Indicator Engine
Moving averages, RSI, MACD, and Bollinger bands.
Forecast Models
LSTM and baseline models with backtesting.
Dashboard
React charts, watchlists, and alert rules.
Expected Output
A dashboard where users view a stock's indicators and the model's predicted trend alongside backtested accuracy.
Future Scope
Portfolio optimisation, news sentiment features, paper trading, and options analytics.