Getting Started with Finter: A Quick Guide
Welcome to finter, a Python library streamlining quantitative finance.
Last updated
Welcome to finter, a Python library streamlining quantitative finance.
Last updated
Transform complex financial theories into practical models.
Ideal for asset pricing, risk management, and portfolio optimization.
Standardized format for financial data.
Ensures accuracy and efficiency in data handling.
Develop and test investment strategies.
Import data, create positions, and evaluate performance.
Aggregate individual or team alphas for effective diversification.
Optimize portfolio to improve risk-adjusted returns.
Robust tool for testing strategies against historical data.
Gain insights into performance and risk.
Easy data visualization.
Develop simple proof-of-concept applications.
Focus on core modeling and strategy, with automated pipeline.
Intuitive design for less coding complexity and more goal achievement.
Ideal for both alpha generation and broader financial applications.
Finter empowers users in quantitative finance, offering tools for advanced analysis and innovative strategy development.
Interactive Notebooks: Use Jupyter notebooks for interactive examples and real-time code execution.
Video Tutorials: Create short, engaging tutorials demonstrating finter's key features.
Webinars and Live Demos: Host online sessions for live demonstrations and Q&A.
Community Forums: Encourage users to share their experiences, tips, and custom implementations.
Infographics: Develop infographics to visually summarize complex concepts and workflows.