Natural Language Interface: Output Python code effortlessly using plain English for financial analysis.
Visual Data Representation: Quickly visualize time series data, equity index members, and stock performance.
AI-Generated Code: Instantly generate Python code with essential packages, saving time on tedious analysis.
Editable Code: Modify generated code and seamlessly integrate it into your local environment for efficient analysis.
Plain English Data Analysis: Utilize popular Python packages (Pandas, Numpy) through simple language commands.
Use Cases of AvanazAI
Swift Data Visualization: Plot various financial data sets, enhancing analysis speed for all user levels.
AI-Generated Code Base: Expedite financial analysis by utilizing AI-generated Python code, especially beneficial for beginners.
Plain Language Analysis: Extract specific financial data (e.g., Tesla's EBIT per share since 2015) for informed investment decisions.
Diverse Data Analysis: Perform in-depth analysis on FX & Equity trading history, fundamental data, index constituent rankings, and sector-level data for comprehensive insights.
