Hello! 👋

I’m working on a solo project to build a no-code quantitative trading backtesting platform — a tool that enables users to visually create trading strategies, backtest them on historical market data, and analyse their performance.

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Motivation

I know nothing about Quantitative trading but I would like to learn about it just for fun. My own personal goal for this project is ultimately to learn more about quant and to try building a full project by myself.

The reasoning behind making a visualiser in particular is because I find that visualisers are really helpful for understanding new concepts, the issue with quantitative trading however, is that there's a big learning curve and the majority of resources are hidden behind a paywall, making just learning the basics quite difficult without diving all in.

So, my goal is to make an accessible interface for people who wish to get a basic idea about quantitative trading without all the overhead required for full on trading. To make it as accessible as possible I want to make a visual, intuitive interface for designing and testing basic strategies, without requiring any programming.

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Core Features

• Strategy Builder: A drag-and-drop UI for defining trading rules using popular indicators like SMA, RSI, combined with logical operators (AND/OR).
• Market Data Access: Integration with historical price data from sources like Yahoo Finance.
• Backtesting Engine: Simulates trade execution on historical data, tracking key metrics such as profit/loss, drawdown, and trade count.
• Indicators & Signals: Modular and reusable indicator calculations to build complex trading signals.
• Performance Reporting: Dashboards that visualise equity curves and detailed strategy performance statistics.

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Technology Stack

• Frontend: React.js with Radix UI for accessibility, React Flow for building the visual strategy builder, and Recharts for displaying charts and results.
• Backend: Python using FastAPI to create a REST API powering data retrieval, indicator computation, and backtesting logic.

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Next Steps

I’m developing this project incrementally, starting with data acquisition and visualization, followed by the strategy builder UI, then the backtesting engine, and finally reporting and analytics.

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Thanks for reading. Feel free to check out my GitHub for updates as the project evolves.