IrrationalSignals is an archived engineering and product case study documenting the development and operation of a machine learning-based trading signals platform for US equities. The project focused on creating an intraday statistical-signals service that scanned hundreds of US stocks every market hour, identifying those with a measurable short-term edge. The system delivered signals that included a trading direction, historical win rate, and entry and exit price references. These signals were distributed through an API-first software-as-a-service model, which also featured a Python SDK for integration.
The platform's technical foundation involved a staged feature pipeline and a LightGBM ranker, with deployment decisions gated by area under the curve (AUC) metrics to assess model performance. Each trading signal included a self-assessment of its own win rate trustworthiness. The service was structured with tiered access, API keys, rate limits, and billing mechanisms, all mapped to the cost and conviction level of the signals provided. Instrumentation was implemented to monitor key performance and business metrics, supporting decisions about the product's viability.
IrrationalSignals was designed as a commercial SaaS offering but was ultimately decommissioned after evaluation showed the business case and statistical edge did not hold up over time. The site now serves as a detailed case study, explaining the technical, product, and business decisions made throughout the lifecycle of the service. It provides archived API documentation and illustrative examples of signal payloads, but does not operate as a live product or provide investment advice. All signals were positioned as statistical observations rather than recommendations.
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In the Infrastructure & Backend space, irrationalsignals takes a focused approach. It focuses on simplifying integration with the IrrationalSignals stock-signal API for developers building trading or finance applications. It is built as an open-source project for developers building trading and finance applications. irrationalsignals is open source under the MIT license. irrationalsignals is available on the web, the command line, and API.
irrationalsignals first shipped in 2026. PulseGate's similarity index finds few close equivalents — irrationalsignals occupies a relatively distinct niche. Key capabilities include stock signal API, Python SDK, and trading integration. It exposes integrations via a public API.
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