The Sparkfolio Investment Framework is a comprehensive guide to strategic asset allocation for modern wealth resilience. It serves as an institutional-grade, yet beginner-friendly, playbook for structuring, managing, and optimizing your investment portfolio.
https://sparkience-ai.github.io/sparkfolio/
- Core & Satellite Strategies: Learn how to structure your portfolio with a strong foundation and high-alpha satellites.
- Goal-Based Asset Allocation: Clear guidelines mapping time horizons to asset classes.
- The Retirement Playbook: Deep dive into India's 3% Safe Withdrawal Rate, the Bucket Strategy, and Sequence of Returns Risk mitigation.
- Behavioral Guardrails: Science-backed strategies to prevent panic selling and emotional investing.
- Tax-Aware Investing: Explore strategies like Tax-Gain Harvesting, Asset Location (Tax Alpha), and NPS Tax Efficiency.
- SEO & AI-Optimized: Built with comprehensive JSON-LD structured data and a crawler-friendly architecture (non-JS bots can read all content without being blocked by scroll animations) so AI assistants and search engines can perfectly expose high-value financial Q&As.
This project is built using HTML, CSS (Vanilla), and JavaScript, and bundled with Vite.
npm install
npm run devnpm run buildThe site is built and pushed to GitHub Pages.
Not Financial Advice: Sparkfolio is an independent educational framework provided for informational purposes only. The content, frameworks, asset allocation models, and methodologies presented within this repository and on the live website do not constitute personalized investment, financial, legal, or tax advice. All investment strategies involve risk of loss, and past performance is no guarantee of future results. You should consult with a qualified SEBI-registered investment advisor (RIA) or financial professional before making any investment decisions.
No Warranties & Limitation of Liability: This framework is provided "as is" without any representations or warranties, express or implied. The author(s) and contributors shall not be held liable for any direct, indirect, incidental, or consequential damages, or financial losses arising out of the use of, or reliance on, any information contained in this repository.
Research Integrity: Sparkfolio synthesizes concepts from multiple independent sources (such as Vanguard, Morningstar, BlackRock, SPIVA, DALBAR, etc.) into a unified educational resource. Sparkfolio is not affiliated with, endorsed by, or sponsored by any of these organizations. All trademarks belong to their respective owners. External sources are cited solely for educational, analytical, and attribution purposes. Portfolio allocation examples and decision frameworks represent the author's synthesis of publicly available research and should not be construed as institutional endorsements or professional recommendations.
MIT License