H|ψ⟩ Quantum Finance — Quantum ML Trading Analytics
@haiyunsky
About H|ψ⟩ Quantum Finance — Quantum ML Trading Analytics
Real-time quantum ML trading analytics — IV Radar, Monte Carlo simulation, AI predictions, and options pressure maps for any ticker. Built on Quantum State Vectors and ensemble ML. Free + Pro ($9.99/mo). hpsilab.com
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"hpsilab": {
"command": "python",
"args": [
"E:\\apps\\quantum_app\\mcp_server\\server.py"
],
"env": {
"HPSILAB_TOKEN": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIyMSIsImV4cCI6MTc4MTk3NDE1NX0.wqrbcjogKvplt1ihdO8qDweQbSr7Z6L7uz7KQUDjfVM"
}
}
}
}Tools
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Overview
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.
Frequently asked questions
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.
Basic information
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