The latest articles on DEV Community by Chair (@chair_2579a3e599995ce64da). https://dev.to/chair_2579a3e599995ce64da https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3175268%2Fdca2112a-4cb1-44ef-bb1f-b098cce4a913.jpg https://dev.to/chair_2579a3e599995ce64da en Chair Sun, 18 May 2025 06:40:02 +0000 https://dev.to/chair_2579a3e599995ce64da/building-a-no-code-quant-backtesting-platform-my-journey-begins-2kcj https://dev.to/chair_2579a3e599995ce64da/building-a-no-code-quant-backtesting-platform-my-journey-begins-2kcj <p>Hello! 👋</p> <p>I’m working on a solo project to build a <strong>no-code quantitative trading backtesting platform</strong> — a tool that enables users to visually create trading strategies, backtest them on historical market data, and analyse their performance.</p> <h2> Motivation </h2> <p>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.</p> <p>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. </p> <p>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.</p> <h2> Core Features </h2> <ul> <li> <strong>Strategy Builder:</strong> A drag-and-drop UI for defining trading rules using popular indicators like SMA, RSI, combined with logical operators (AND/OR). </li> <li> <strong>Market Data Access:</strong> Integration with historical price data from sources like Yahoo Finance. </li> <li> <strong>Backtesting Engine:</strong> Simulates trade execution on historical data, tracking key metrics such as profit/loss, drawdown, and trade count. </li> <li> <strong>Indicators &amp; Signals:</strong> Modular and reusable indicator calculations to build complex trading signals. </li> <li> <strong>Performance Reporting:</strong> Dashboards that visualise equity curves and detailed strategy performance statistics.</li> </ul> <h2> Technology Stack </h2> <ul> <li> <strong>Frontend:</strong> React.js with Radix UI for accessibility, React Flow for building the visual strategy builder, and Recharts for displaying charts and results. </li> <li> <strong>Backend:</strong> Python using FastAPI to create a REST API powering data retrieval, indicator computation, and backtesting logic.</li> </ul> <h2> Next Steps </h2> <p>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.</p> <p>Thanks for reading. Feel free to check out my GitHub for updates as the project evolves.</p> react python quant reactflow