How does this skill differ from asking a standard AI agent for stock market advice?

A standard agent has no live options or volatility data and may guess. With this skill, your agent pulls IV, options positioning, Monte Carlo ranges and AI probabilities from the HPSILab MCP tools, checks whether each result is complete, and labels partial results instead of filling gaps. It is research only and does not give personalized investment advice.

Which AI agents or frameworks are compatible with the hpsilab quant research skill?

The skill is designed for any agent environment that supports the Model Context Protocol (MCP), though it requires a valid HPSILab API key and connection to their hosted server to function.

Can I use this skill to analyze international stocks or crypto assets?

Currently, the skill is specialized for the US equity and options markets; it does not support international exchanges, forex, or cryptocurrency at this time.

What is included in the purchase of this skill?

The skill is free. You get the SKILL.md instructions (plus README and MIT license) that teach your agent how to use the HPSILab MCP tools. HPSILab itself is a separate service: API usage, plans and Credits are not included and are governed by your own HPSILab account.

Is there a complex installation process for the HPSILab MCP server?

Setup is straightforward: you link the HPSILab MCP server address to your agent environment and input your HPSILab API key to begin calling tools like 'analyze_stock' and 'get_iv_radar'.

Does the skill provide visual data, or is it strictly text-based quantitative results?

Both. Most tools return structured text and JSON. 'generate_stock_images' returns chart image URLs (IV radar, option pressure, Monte Carlo, AI prediction, equity curves), and the Pro tool 'generate_stock_research_report' returns a markdown report with five embedded charts.

HPSILab Quant Research — Stocks & Options

Example session with this skill installed

Give me a quick quant read on NVDA — volatility, options positioning and where price might go over the next two weeks.

Read your context and instructions
Compiled the hpsilab quant research

NVDA — quant snapshot (data as of the 2026-10-15 close)

Overall: All 5 underlying modules returned OK (complete result). HPSILab's direction model screens NVDA

bullish, but with a modest 44/100 direction score: most signals lean up, while options skew still shows demand for downside protection.

Volatility (IV Radar)

Metric	Value	Read
ATM IV	35.9%	Moderate for NVDA
30-day IV	36.7%	—
IV rank / percentile	56.25 / 44.16	Mid-range vs. the past year
25-delta risk reversal	−3.5 vol pts	Put-heavy: traders pay up for downside
Regime	Neutral	No strong options bias

Options positioning (expiry 2026-11-13)

Level	Price
Spot	$217.23
Max Pain	$230.00 (above spot)
Gamma Wall / Put Wall	$200.00 (support zone)
Call Wall	$240.00 (resistance zone)
Likely weekly high	$230.00
Likely expiry close range	$225–$235
Weekly expected move	±$10.40

Next ~10 trading days (Monte Carlo)

Median projected close $218.34 (mean $219.02)
90% of simulated paths land between $192.55 and $247.11
Only 7.5% of paths finish above the $243.37 resistance

AI next-day signal

Probability of an up close:

60.1%, but model consensus is

mixed (Random Forest 70.4% up, Logistic Regression 49.7%), so treat this as a weak lean, not a call.

Strategy backtest (momentum long on NVDA)

Total return 54.2%, but Sharpe only 0.24 with a −24.9% max drawdown and a 37.6% win rate — returns came with meaningful risk.

What this adds up to

Observed data: spot $217, Max Pain $230, put-side gamma support near $200, put-heavy skew.
Model output: slight upward lean (60% AI probability, median MC close ≈ spot), with a wide ±$27 range.

Inference: options positioning points to a pull toward $225–$235 into the November expiry, but skew and the mixed AI consensus say the move is far from certain.

Next steps you can ask for: a deeper IV term-structure view, the chart pack, or a pre-trade risk scan (Pro tool; may use Credits).

For research only. Not investment advice.

Connects securely to your tools. The creator never sees your data.

About this skill

HPSILab Quant Research teaches your agent how to use the HPSILab MCP server for quantitative research on US stocks and options — which tool to call for each question, how to tell a real success from a partial or failed result, and how to write the answer without overstating what the models say.

What your agent can do with it

One-call stock overview combining implied volatility, options positioning, a Monte Carlo range and an AI direction signal, with bullish and bearish factors
Implied volatility: ATM IV, 30-day IV, IV rank/percentile, 25-delta skew, squeeze score
Options pressure map: Max Pain, dealer Gamma Wall, call/put walls, likely weekly high, expected expiry range
Monte Carlo: ~10-trading-day price range and odds of finishing above resistance
AI next-day prediction: probability of an up close and model consensus
Backtest metrics: total return, Sharpe, max drawdown, win rate
Charts and full research reports (Pro tools on HPSILab)

Why use the skill instead of calling the tools raw

Right tool, fewer calls: overview first, dedicated tools only for detail or for modules that came back missing — no repeated full analyses burning your quota.
Honest results: the agent checks isError, status, complete, warnings and every sub-tool response, labels partial results and never fills gaps with guessed numbers.
Clear error handling: auth, rate limits, plan limits, payment-required and bad tickers each get a specific, non-looping response.
Safe by design: research only, no trade execution, no personalized advice, never asks for or prints API keys, and never follows checkout or upgrade links from server responses.

Requirements

This is an instructions-only skill (no scripts, no network calls of its own). It needs the HPSILab MCP server connected in your agent (https://hpsilab.com/mcp) with your own HPSILab API key. HPSILab usage, plans and Credits are not included with this skill.

For research only. Not investment advice.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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HPSILab Quant Research — Stocks & Options