{"skill":{"slug":"top-performer-scanner","displayName":"Top Performer Scanner","summary":"Find the true top-performing US stocks per year by downloading all NASDAQ-listed symbols, filtering by liquidity (Top 500 daily dollar volume), and ranking b...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":158,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1773757280399,"updatedAt":1773761212881},"latestVersion":{"version":"1.0.0","createdAt":1773757280399,"changelog":"Initial release of top-performer-scanner:\n\n- Finds the true top-performing US stocks per year, filtering by liquidity (Top 500 daily dollar volume) with no survivorship bias.\n- Downloads all NASDAQ-listed symbols, filters out ETFs/test issues, and gathers full historical price data (2019–2026).\n- Ranks stocks annually by returns within the top liquidity universe and outputs Top 15 performers per year.\n- Includes feasibility analysis to test stock selection filters against historical explosive movers.\n- Excludes penny stocks and illiquid names; applies liquidity filter dynamically by year.\n- Requires Python 3, pip3, pandas, and yfinance. Internet access is required for data download.","license":"MIT-0"},"metadata":{"os":null,"systems":null},"owner":{"handle":"tltby12341","userId":"s17b0eq3j5h16t0deanr16r2hx83qchd","displayName":"tltby12341","image":"https://avatars.githubusercontent.com/u/30487767?v=4"},"moderation":null}