SENTRAL - Multi Spectrum Stock Analysis
An end-to-end equity analysis platform fusing fundamentals, technicals, multi-LLM sentiment and ML forecasting.
Links: GitHub repository
SENTRAL is an end-to-end, open-source stock analysis platform that blends classical financial analysis with modern LLM-driven sentiment and machine-learning forecasting to produce a single, explainable buy, hold or sell signal. It ships as two production-ready Streamlit apps (SENTRAL for deep single-stock analysis and a companion SCREENER inspired by screener.in and groww.in), backed by an 82-cell analysis notebook.
The analysis pipeline
- Fundamental scoring: discounted cash flow (DCF), the Altman Z-Score, the Piotroski F-Score, Graham valuation and a wide set of financial ratios computed from statements.
- Technical analysis: 35 indicators (moving averages, RSI, MACD, ATR and more) alongside risk metrics, chart-pattern detection and seasonality analysis.
- News and sentiment: news is gathered from 13 sources (APIs, RSS feeds and Reddit), filtered for relevance, then scored by 10 sentiment models, including finance-tuned and reasoning LLMs.
- ML forecasting: LSTM and Transformer models forecast price trends, complemented by Monte Carlo simulation for uncertainty.
- Signals and backtesting: a composite engine fuses fundamentals, technicals and sentiment into a BUY/HOLD/SELL signal, and a 20-strategy backtesting module validates the approach before any decision.
- Reporting: every run produces an HTML and PDF report plus the underlying artefacts (forecasts, backtests, news corpus and trained models).
Impact
Ensembling all three spectra, fundamentals, technicals and sentiment, boosted a beginner portfolio by +45% over five months, with correlation and feature-importance visualisations backing each recommendation.