For traders and AI agents

HPSILab Quant Finance MCP Server for Stock & Options Analytics

Check the risk before every trade.

Watch your stocks for risk changes, see options and Monte Carlo context, and run a Pre-Trade Check before you buy.

Start free: watch 3 stocks See a Pre-Trade Check sample

Free account: watch 3 stocks + closing signal scanner, no credit card → Sign up

Start with a ticker. Explore a real analysis first, then continue across prediction, options, simulation and risk.

Partner

OrcaRouter

Paid plans, on real data

See what you get before you pay

Real outputs on fixed demo data, refreshed after each US close. A paid plan runs the same checks on your own watchlist.

Pre-Trade Check

Compare NVDA's own risk with the SPY benchmark, then see position sizing checks, plus sector exposure and correlation in a demo portfolio.

See the NVDA sample

Decision Intelligence

The risk scan and the full stock analysis combined into one verdict for a proposed position size.

See the decision card

Grover Picks

Quantum search for the best 1–3 stock portfolio in a watchlist, checked against the classical best.

See the demo watchlist result

Every call on the record

AI predictions and option pressure levels are recorded before the outcome and scored after it, including the misses.

AI prediction benchmark →Option levels track record →

Free account

Sign up and let HPSILab watch your stocks

Risk alerts when any of your 3 stocks changes risk
Closing signal scanner for the last 30 minutes of trading
Full options, IV and Monte Carlo analysis on the website

Example alert

NVDA

Drawdown risk: within band → elevated

Modeled downside (90% range low): -6% → -11%

Explore

Research tools, markets and ETFs

Research toolsStock analysis Options analytics Monte Carlo range Pre-trade risk scan Stock analysis library Option pressure AI stock prediction Research report All research tools

MarketsUnited States Japan (JPX)Hong Kong (HKEX)China A-shares Singapore (SGX)

Options data covers US stocks and ETFs; other markets get price, momentum, AI prediction and Monte Carlo analysis.

ETF Coverage

US ETF quantitative research

AI analysis, IV Radar, option pressure, and Monte Carlo simulation for the most widely traded US broad-market, sector, semiconductor, bond, and gold ETFs.

SPY QQQ SOXL VOO VTI IWM SMH SOXX XLK XLF XLE XLV TLT GLD

View all ETF research →

What Agents Get

One quant finance engine, multiple decision lenses.

Generic feeds tell an AI agent what happened. HPSILab gives it probability, options structure, simulation range, and model evidence so the answer is easier to verify.

analyze_stockCredits

Aggregates every quant tool into one JSON stock analysis: direction signal, direction score, bullish/bearish factors, plain-English summary.

get_ai_predictionCredits

Next-day probability the stock closes up, a paper-trading buy/watch/sell lean (research only, not a trade instruction), and how strongly the underlying models agree.

get_iv_radarCredits

Implied-volatility structure: how expensive options are, volatility squeezes, call/put skew.

get_monte_carloCredits

Monte Carlo price simulation for the next ~10 trading days: likely range and odds of finishing higher.

get_option_pressureCredits

Option-chain pressure map for the nearest expiry: Max Pain, dealer Gamma Wall, likely weekly high, extreme squeeze target.

get_equity_curveCredits

Backtest performance of the quant strategy across a watchlist: Sharpe ratio, max drawdown, win rate, total return.

generate_stock_imagesCredits

Generates stock-report chart images (PNG) and returns their URLs.

Pro

get_pretrade_risk_scanPro

Full pre-trade risk scan for a stock before entering a position.

generate_stock_research_reportPro

Presentation-ready markdown research report combining analysis and charts for a stock.

Install

Give your AI agent a market research layer.

Use MCP for agents and REST for your own backend, scripts, dashboards, and alert pipelines. Developer unlocks API keys, higher limits, and production integration support.

Install

pip install -U hpsilab-mcp

Quick start

from hpsilab_mcp import HpsiMcpClient, HpsiMcpError try: client = HpsiMcpClient( api_key="YOUR_API_KEY", base_url="https://hpsilab.com", ) result = client.get_ai_prediction("TSLA") print(result) except HpsiMcpError as exc: print(f"Prediction request failed: {exc}")

View Developer setup Get API Key

Trust Boundary

Built for research, not blind trading.

Informational use only

HPSILab returns research context for agents and analysts, not buy/sell instructions.

Structured outputs

Responses are JSON-ready for agent workflows, dashboards, alerts, and review logs.

Review before action

Agents can draft watchlists and research reports, while humans remain in the loop.

Create a free account Sign in

Web use is free
Risk alerts for 3 stocks
Closing signal scanner