Find historical chart patterns for your current setup and see how it played out before
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Maker
Chart Echo is a chart-first web application that identifies visually similar historical chart patterns—known as fractals—across stocks and cryptocurrencies. It overlays those past matches directly onto your current chart and projects how they continued, allowing you to study historical precedent. You can save favorites, build workspaces, and share charts with others. The platform is designed for research and educational purposes only and does not provide financial advice.
Chart Echo scans historical data across stocks and crypto to find chart patterns that visually resemble your current setup. The matches are overlaid on your chart, showing exactly how the past fractal evolved from the same point.
Once a fractal match is found, the app projects how that pattern continued after the match point. This gives you a clear visual of potential paths based on historical precedent, without making any predictions.
You can save your most interesting fractal matches into organized workspaces. Favorites are stored for quick access, letting you build a personal library of patterns you want to revisit or share.
Any chart with its fractal overlays can be shared via a link. This makes it easy to discuss specific setups with others or reference a pattern in your own research notes.
Chart Echo turns every chart into a time machine, letting you see how similar patterns actually played out before.
Instead of relying on abstract pattern definitions, Chart Echo uses visual similarity to find real historical matches. This approach grounds your analysis in actual market behavior rather than textbook patterns. The ability to overlay past fractals directly on your current chart makes the comparison immediate and intuitive, helping you spot recurring market dynamics.
You're tired of generic pattern recognition and want a tool that shows you actual historical examples of similar setups. Chart Echo is especially useful if you trade both stocks and crypto and want a unified way to study chart patterns across markets. It's also a great fit if you prefer visual, chart-based research over indicator-heavy analysis.
