Swing Edge is my personal live swing trading dashboard, a web app I built from scratch to give me a real time edge in finding, analyzing, and tracking swing trade setups. It's one of the most ambitious projects I've ever taken on, and it's become the centerpiece of everything I do as a trader.
What Is Swing Edge?
Swing Edge is a custom built web application that analyzes market data, news, and technical signals into one clean interface designed specifically for swing trading. Instead of jumping between TradingView, financial news sites, a journal, and a spreadsheet, everything I need lives in one place.
The dashboard is live at swing-edge-web.vercel.app and I update it constantly as I find new features to add and new ways to improve my process.
What It Does
The app is built around several core features that work together to help me find the best swing trade setups each week.
The Market Pulse tab gives me a real time overview of market conditions, sector performance, overall market sentiment, and key levels I'm watching. Before I even look at individual stocks, I need to understand what the broader market is doing. Market Pulse gives me that picture instantly.
The Earnings Calendar pulls in upcoming earnings dates powered by Finnhub API. Earnings are one of the biggest catalysts for swing trades, knowing which stocks are reporting and when helps me avoid getting caught in unexpected volatility and also helps me find pre-earnings momentum plays.
The Position Sizing Calculator is something every serious trader needs but most beginners ignore. Before entering any trade, I calculate exactly how many shares to buy based on my account size, risk tolerance, and stop loss level. This keeps me disciplined and ensures I never risk more than I'm comfortable losing on any single trade.
The Trade Journal is where I log every single trade with detailed notes — entry price, exit price, setup type, emotional state, and a post-trade review. Keeping a journal is what separates traders who improve from traders who repeat the same mistakes forever.
Why I Built It
Honestly, I got tired of using tools that weren't built for how I trade. Every existing platform either had too much information, not enough of the right information, or was designed for day traders rather than swing traders.
Building Swing Edge forced me to deeply understand my own trading process. When you have to code a feature, you have to think carefully about exactly what data you need and why. That process alone made me a sharper trader.
It also gave me a project I'm genuinely proud of. This isn't a school assignment or a tutorial I followed, it's a real tool I use every single day to make real trading decisions.
The Tech Stack
Swing Edge is built with React for the frontend, hosted on Vercel for fast and reliable deployment, and pulls data from multiple financial APIs including Finnhub for earnings data and market news. The trade journal is backed by Supabase, a real-time database that stores all my trade data securely.
I also use Claude AI heavily in the development process, whether it's helping me debug Pine Script for my TradingView indicators or helping me architect new features for the dashboard. AI has made me a dramatically faster developer.
What's Next
Swing Edge is never finished. I'm constantly adding new features based on what I need as a trader. On my roadmap right now is deeper technical analysis integration, automated screener alerts, and an improved analytics section that tracks my performance across different setups and market conditions.
The goal is to eventually have a system so dialed in that finding a high quality swing trade setup takes minutes, not hours.
If you want to follow along as I build and trade with Swing Edge, subscribe below. I'll be sharing weekly updates on both the trading results and the development progress.
— Rithvik Chethan