All-in-one stock screener and backtesting tool for investors
AlphaScreener is an all-in-one stock screener and backtesting tool. With AlphaScreener, you can use fundamental and technical filters to filter 6,000+ US stocks. Backtest your strategy with over 20 yrs of historical data in a look-ahead, bias-free manner.
Hey PH community 👋 In 2018, my cofounder, Viram, and I founded Vested to empower investors worldwide to access the US equity markets. Keeping true to that vision, we've created an investing platform used by 1 million+ investors. In building the platform, we evaluate and write about many publicly traded companies. Over time, we have developed an internal tool that helped us carry out our research faster and with more rigor. Now, we are excited to release this tool for everyone! Introducing AlphaS
One novel functionality we offer is screening on a relative basis. (Is PE ratio > 5 good or bad? No need to worry anymore!) We look forward to the community experiencing this and many other cool features on AlphaScreener! 🚀
It was a lot of fun to build AlphaScreener, and we designed it with investors like you in mind. You should be able to make better investing decisions with the help of AlphaScreener.
🚀 excited for the world to finally experience AlphaScreener!
I have been using AlphaScreener to screen stocks based on fundamental and technical strategies, such as identifying value stocks, companies that have distributed dividends in the past, and companies that are currently in the mid-cap/small-cap category but have good potential to grow. These screeners have been really useful, and the ability to backtest is valuable to understand the past performance of the screeners. I'm sure the product will find its use among investors who are looking to identif
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.