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H|ψ⟩Quantum Finance

DEVELOPER

Overview

GET STARTED

Quick StartAPI KeyChoose Your Path

INTEGRATION

Remote MCPPopularREST APIPython SDKCode Examples

TOOLS REFERENCE

analyze_stockget_iv_radarget_option_pressureget_monte_carlogenerate_reportAll Tools →

RESOURCES

ExamplesUse CasesFAQChangelogStatus

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Developer First

Build AI-Powered Finance Applications

Institutional-grade stock and options intelligence for AI agents, developers, and quantitative applications — via Remote MCP, REST API, or Python SDK.

8

Quant tools

3

Integration paths

7-day

Free trial

Get API KeyQuick Start (5 min)
from hpsilab_mcp import HpsiMcpClient

client = HpsiMcpClient(
    api_key="hpsi_your_key",
    base_url="https://hpsilab.com",
)

result = client.analyze_stock("NVDA")
print(result)
ResultBullish16/100 confidence
{
  "symbol": "NVDA",
  "signal": "Bullish",
  "confidence_score": 16,
  "bullish_factors": [
    "Max Pain sits above spot, suggesting upward expiry pin pressure.",
    "Likely expiry range is centered above spot."
  ],
  "bearish_factors": [
    "Risk reversal is put-heavy at -0.0397."
  ],
  "summary": "NVDA screens bullish with a 16/100 direction score...",
  "tool_responses": {
    "get_iv_radar": { "status": "ok", "response": "..." },
    "get_option_pressure": { "status": "ok", "response": "..." },
    "get_monte_carlo": { "status": "ok", "response": "..." },
    "get_ai_prediction": {
      "status": "unavailable",
      "error": "🔒 Pro tool. Upgrade at hpsilab.com/pricing"
    },
    "get_equity_curves": {
      "status": "unavailable",
      "error": "🔒 Pro tool. Upgrade at hpsilab.com/pricing"
    }
  }
}

Fast & Simple

Get started in minutes with our SDKs, APIs, and MCP integration. No quant infrastructure to build.

Reliable & Secure

Enterprise-grade infrastructure with 99.9% uptime and encrypted API key authentication.

Institutional Grade

Access the same quality analytics and data used by quantitative professionals.

AI & Agent Ready

Built for AI agents, LLM applications, and automated workflows. Native MCP transport support.

Get Started

Get Started in 3 Steps

1

Get Your API Key

Sign up for a 7-day free trial and get your hpsi_ key instantly from the dashboard.

Get API Key →
2

Choose Your Integration

Use the Python SDK, REST API, or Remote MCP — all 8 tools are available via every path.

View Integration Options →
3

Make Your First Request

Run your first analysis with analyze_stock("NVDA") and start building.

Quick Start Guide →

Integrations

Works Everywhere

Connect to any AI agent framework or tool that supports MCP, REST, or Python.

Cl

Claude

Remote MCP

Ch

ChatGPT

Remote MCP

Cu

Cursor

MCP config

VS

VS Code

MCP extension

Op

OpenAI Agents

REST / SDK

La

LangGraph

Python SDK

Cr

CrewAI

Python SDK

n8

n8n

REST API

Au

AutoGen

Python SDK

Use Cases

Popular Use Cases

AI Stock Analyst

Build intelligent stock analysis agents with real-time data, sentiment, and technical indicators.

View Example

Options Strategy Assistant

Analyze options flow, IV analysis, and strategy recommendations using get_iv_radar and get_option_pressure.

View Example

Portfolio Risk Dashboard

Monitor portfolio risk, correlations, and performance analytics with get_monte_carlo and get_equity_curves.

View Example

Automated Research Reports

Generate professional research reports and market insights automatically with generate_stock_research_report.

View Example

Code Examples

Example Request

from hpsilab_mcp import HpsiMcpClient

client = HpsiMcpClient(
    api_key="hpsi_your_key",
    base_url="https://hpsilab.com",
)

# Aggregate analysis — recommended starting point
result = client.analyze_stock("AAPL")
print(result)

# IV radar
iv = client.get_iv_radar("AAPL")
print(iv)

# Options pressure
pressure = client.get_option_pressure("AAPL")
print(pressure)

# Monte Carlo simulation
mc = client.get_monte_carlo("AAPL")
print(mc)

Tools Reference

8 Quant Finance Tools

All tools are available via REST API, Python SDK, and Remote MCP.

GET

analyze_stock★

Recommended starting point. Aggregate analysis, factors, and data source status.

/api/analyze_stock/{symbol}

client.analyze_stock("NVDA")

GET

get_ai_prediction

Next-day probability, model consensus, stop-loss, and take-profit reference.

/api/ai_prediction/{symbol}

client.get_ai_prediction("NVDA")

GET

get_iv_radar

IV rank, percentile, skew, squeeze score, and volatility regime.

/api/iv_batch?symbols={symbol}

client.get_iv_radar("NVDA")

GET

get_option_pressure

Max pain, gamma wall, squeeze target, and options expiry range.

/api/option_pressure/{symbol}

client.get_option_pressure("NVDA")

GET

get_monte_carlo

Projected close, likely range, support, resistance, and upside odds.

/api/monte_carlo/{symbol}

client.get_monte_carlo("NVDA")

GET

get_equity_curves

Equity curves, drawdown profile, win rate, and historical performance.

/api/equity_curve/{symbol}

client.get_equity_curves("NVDA")

POST

generate_stock_images

Stock-report chart images ready for sharing or embedding in reports.

/api/stock_report/{symbol}/images

client.generate_stock_images("NVDA")

POST

generate_stock_research_report

Presentation-ready research report with charts and quantitative analysis.

/api/stock_report/{symbol}/research_report

client.generate_stock_research_report("NVDA")

Changelog

Latest Updates

v0.2.0New
Jun 21, 2026
  • Full REST API coverage for all 8 tools
  • HpsiMcpClient authenticated usage with base_url support
  • TypeScript SDK added to repository
v0.1.0
Jun 21, 2026
  • Initial Python SDK release (hpsilab-mcp on PyPI)
  • REST endpoint mapping for analyze_stock, get_ai_prediction, get_iv_radar
  • Monte Carlo, equity curves, options pressure endpoints
View full changelog on PyPI

Capability Matrix

REST & MCP Coverage

ToolRESTMCP
analyze_stock✓✓
get_ai_prediction✓✓
get_iv_radar✓✓
get_option_pressure✓✓
get_monte_carlo✓✓
get_equity_curves✓✓
generate_stock_images✓✓
generate_stock_research_report✓✓

Resources

Everything You Need

Documentation

Full guides for getting started, authentication, and integration paths.

Open

API Reference

Endpoint paths, methods, and parameters for all 8 tools.

Open

Examples

Copy-paste code for Python SDK, REST API, and Remote MCP.

Open

Pricing

Free trial, then transparent per-seat developer pricing.

Open

FAQ

Common questions about authentication, rate limits, and tools.

Open

Status

Live uptime and incident history for the HPSILab API.

Open

GitHub

Source for the Python SDK, TypeScript SDK, and examples.

Open

Support

Reach out directly for integration help or bug reports.

Open
H|ψ⟩HPSILab

AI Quant Finance Lab. Institutional-grade options and stock analytics for developers and AI agents.

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  • Options Analytics
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Developer

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