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Title: Sonar Sciences Launches Platform for Testing and Publishing Algorithmic Trading Strategies

DE, United States, 6th Aug 2026 - Sonar Sciences, a strategy-research platform for algorithmic and rules-based traders, gives pro traders a structured way to build a trading hypothesis, test it against four years of cross-venue price data, and see exactly where it holds up and where it breaks, before that strategy is ever shown to a subscriber or tied to a dollar of real capital.The platform arrives at a moment when trading-signal marketplaces have grown faster than the tools that verify what those signals actually do. Retail platforms show equity curves. Broker forums show screenshots. Almost none of it separates a genuinely tested idea from a fitted one, and few of the tools available to independent traders were built to make that distinction visible in the first place.Most traders can produce a backtest faster than they can tell you whether to trust it. Sonar Sciences tested the platform itself for six months before allowing a single result to be published on it, on the premise that the entire product fails the moment a number on the screen isn't real. The validation layer exists to do the part most platforms skip: tell a pro trader when their own strategy is lying to them.A workspace built around one question: does this actually hold upSonar Sciences' core workflow starts where most trading tools stop. A pro trader defines a strategy as an explicit, testable rule set, rather than a vague idea or a chart pattern, and runs it against Sonar Sciences' cross-venue data spanning four years across multiple asset classes and market regimes. The platform then returns model-level results, including a deflated Sharpe ratio calculation designed to flag when a strategy's apparent performance is more a function of repeated testing than real edge, alongside walk-forward...

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