HPSILab MCP

H|ψ⟩ Quantum Finance provides a quantitative finance platform covering four core workflows: equity curve tracking, backtest analysis, options implied volatility regime monitoring via an IV radar view, and AI-generated next-day stock price predictions. The web app is the entry point — the vendor states it is free with no expiration — and the same underlying models are exposed via API for teams that want to embed signals into external systems or research pipelines.

The differentiating claim is the combination of IV regime detection alongside predictive signals in one feed. Most retail-grade tools separate volatility analytics from directional forecasting; pulling both from a single API endpoint reduces the reconciliation work that typically breaks quantitative pipelines at the seam between data sources.

For retail investors and small research teams, the free web app covers the core use cases without infrastructure overhead. For developers, the API and the vendor-described MCP compatibility mean the signals can feed directly into AI agents that run their own downstream analysis — the tool acts as a data and signal provider rather than an autonomous decision-maker. The friction point is transparency: the scraped page content carries a ‘for informational use only’ disclaimer and a research accuracy disclaimer, but publishes no model methodology, backtested accuracy statistics, or latency specifications. Teams that need to defend their signal source to a compliance function or a counterparty will find the documentation insufficient without a direct vendor engagement.

Self-hosting is not available, so all data flows through the vendor’s infrastructure. Teams with data residency requirements or air-gapped environments cannot use this service in its current form.