H|ψ⟩ Quantum Finance — Quantum ML Trading Analytics

What is H|ψ⟩ Quantum Finance — Quantum ML Trading Analytics?

H|ψ⟩ Quantum Finance is an MCP server that gives Claude real-time access to institutional-grade trading analytics powered by Quantum State Vectors and ensemble machine learning. It is designed for traders and quantitative analysts who want AI-driven market insights through five specialized tools.

How to use H|ψ⟩ Quantum Finance — Quantum ML Trading Analytics?

Install the server, then invoke any of five tools via Claude: get_iv_radar, get_monte_carlo, get_ai_prediction, get_equity_curves, or get_option_pressure. A free tier provides limited access to get_iv_radar and predictions for NVDA, AAPL, and TSLA; the Pro tier ($9.99/month) unlocks all tools.

Key features of H|ψ⟩ Quantum Finance — Quantum ML Trading Analytics

• Options IV structure, squeeze score, and volatility regime analysis
• 10-day Monte Carlo simulation with 5,000 price paths
• Next-session upside probability from a three-model ensemble
• Strategy performance tracking with Sharpe ratio and drawdown
• Option chain pressure map with Max Pain and gamma walls

Use cases of H|ψ⟩ Quantum Finance — Quantum ML Trading Analytics

• Scan option implied volatility and risk reversal signals for any ticker
• Run probabilistic price simulations to assess short-term risk/reward
• Aggregate predictions from Random Forest, Logistic Regression, and Ensemble models
• Monitor and compare historical strategy metrics including win rate and total return
• Identify dealer gamma positioning and extreme squeeze targets

FAQ from H|ψ⟩ Quantum Finance — Quantum ML Trading Analytics

Which tools are free?

get_iv_radar is free for all users, and predictions are free for tickers NVDA, AAPL, and TSLA.

What does the Pro tier cost and include?

Pro tier is $9.99/month and grants full access to all five tools: get_iv_radar, get_monte_carlo, get_ai_prediction, get_equity_curves, and get_option_pressure.

How does the AI prediction work?

get_ai_prediction returns a next-session upside probability based on ensemble confidence, with three models voting: Random Forest, Logistic Regression, and Ensemble.

What platform hosts this service?

The service is hosted at hpsilab.com and is available in English, Chinese, and Japanese.

Is there a Monte Carlo simulation available?

Yes — get_monte_carlo runs a 10-day simulation with 5,000 paths, returning the 90% probability range, mean simulated close, and upside probability. This tool requires a Pro subscription.