Solve "Context Fatigue" with an autonomous pipeline that moves from raw data to institutional-grade investment thesis in seconds.
Every feature is designed to match institutional-grade workflows — from raw data collection to actionable investment thesis.
Autonomous Data Collection, Validation, Analysis, and Synthesis agents working sequentially for zero-hallucination, time-stamped reporting.
Every metric sorted into Fundamental, Valuation, Quality, Momentum, Risk, Sentiment, and Dividend categories with automatic green/red flag tagging.
RSI, MACD, SMA, Sharpe Ratio, VaR, and Max Drawdown calculated via rust_finance — orders of magnitude faster than pure
Python.
Pydantic-enforced type safety, completeness scoring (0-100%), and confidence levels (High/Medium/Low) before any verdict is issued.
Full CLI parity on mobile via Baileys — run analyze, /compare, and /tickers from WhatsApp with thesis drift alerts.
Deep integration with Zerodha Kite for real-time holdings monitoring, automated earnings scheduling, and thesis drift detection.
Detailed technical guides for RSI flags, Rust-powered technicals, and more.
Explore the granular Q&A covering 15+ documentation files.
Read documentation →