Last updated: March 2025
QuantFinco is an independent personal research project — a self-directed exploration of quantitative finance, algorithmic trading, and Python development. All content is for educational purposes only and does not constitute financial advice.
QuantFinco is a personal initiative born from a genuine interest in quantitative finance and algorithmic trading. It exists as a space for learning, experimentation, and showcasing independent work — built from scratch using publicly available tools, open-source libraries, and freely accessible market data.
The ideas, code, and research here reflect a self-directed intellectual journey into a field that Manoj Dalui finds deeply fascinating — from backtesting engines to portfolio theory to quantitative risk models. Everything on this site is self-funded, self-directed, and driven purely by curiosity and a passion for continuous learning.
All content on this site — including but not limited to trading strategies, backtesting results, market analysis, portfolio simulations, and quantitative models — is created purely for educational and personal learning purposes.
Nothing on this site constitutes financial advice, investment advice, trading recommendations, or any solicitation to buy or sell any financial instrument.
All trading strategies, backtests, and portfolio simulations shown on this platform use historical data for research purposes only. No real money, real orders, or real brokerage accounts are traded through this system. Any performance figures are based on hypothetical backtests and do not represent actual trading results.
QuantFinco is a non-commercial personal portfolio and research showcase. There is no fee, subscription, or monetisation of any kind. Access to the Quant Lab is by personal invitation only, for demonstration purposes.
Any backtested or historical performance data shown is hypothetical and for illustrative purposes only. Past performance is not indicative of future results. Markets are inherently unpredictable and all investing involves risk of loss.
Market data used in this project is sourced from publicly available APIs (Yahoo Finance, FRED, etc.) and is used solely for research and educational analysis. This site does not redistribute or resell any market data.
For any questions about this disclaimer, please contact Manoj Dalui.