Alphagbm Market Sentiment

CommunityPopular

AlphaGBM

alphagbm-market-sentiment

Market-wide sentiment dashboard with VIX, Put/Call ratio, Fear & Greed Index, market breadth, and sector rotation analysis. Classifies current regime as risk-on, risk-off, or neutral. Triggers: "market sentiment", "is the market fearful", "VIX analysis", "put call ratio", "market breadth", "fear and greed", "risk on or risk off", "advance decline", "new highs new lows", "sector rotation", "market regime"

Overview

Publisher	AlphaGBM
Repository	`skills`
Skill name	`alphagbm-market-sentiment`
Stars	2.7K
Forks	290
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by AlphaGBM on GitHub. Read the source before you install it.

Installation

Install the Alphagbm Market Sentiment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/AlphaGBM/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/alphagbm-market-sentiment .claude/skills/alphagbm-market-sentiment

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alphagbm Market Sentiment in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Alphagbm Market Sentiment on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Alphagbm Market Sentiment is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AlphaGBM Market Sentiment Dashboard

Aggregates market-wide sentiment indicators into a single dashboard, classifying the current regime to guide your trading stance.

What This Skill Does

Indicator	Description
VIX Level + Percentile	Current VIX value and its rank over the past year (e.g., 85th percentile = elevated fear)
Put/Call Ratio	Equity and index P/C ratios — high values signal fear, low values signal complacency
Fear & Greed Index	Composite score (0-100) combining multiple sentiment inputs
Market Breadth	Advance/decline ratio and new highs vs new lows — measures participation
Sector Rotation Stage	Which sectors are leading/lagging, mapped to the economic cycle
Regime Classification	Overall assessment: risk-on, risk-off, or neutral with confidence level

How to Use

Input: A market sentiment query (no ticker required, or specify VIX/SPX for focused analysis).

Output:

Sentiment dashboard with all indicators and their current readings
Historical context: where each indicator sits relative to the past 1 year
Current regime classification (risk-on / risk-off / neutral) with confidence %
Sector rotation map: early cycle, mid cycle, late cycle, or recession positioning
Actionable interpretation: what the current sentiment means for options trading

Example Queries:

market sentiment — Full dashboard with all indicators
is the market fearful — Quick fear/greed assessment
VIX analysis — Deep dive on VIX level, term structure, and percentile
put call ratio — Equity and index put/call with historical context
market breadth — Advance/decline, new highs/lows, participation analysis
sector rotation — Which sectors are leading and what cycle stage we are in

Mock Data

Mock data files are located in mock-data/market-sentiment/ and include:

sentiment-dashboard.json — Full dashboard snapshot with all indicators
vix-history.json — VIX time series with percentile ranks
sector-rotation.json — Sector performance and cycle classification

API Endpoint


GET /api/analytics/market-sentiment

Query parameters:

indicators (string, default "all") — Comma-separated list: "vix", "pcr", "fear_greed", "breadth", "rotation"
lookback_days (int, default 252) — Historical period for percentile calculations

Response fields: vix, put_call_ratio, fear_greed_index, breadth, sector_rotation, regime, regime_confidence

Related Skills

Skill	Relevance
alphagbm-stock-analysis	Individual stock analysis informed by market regime
alphagbm-unusual-activity	Unusual flow patterns that contribute to sentiment signals

Powered by AlphaGBM — Real-data options & research intelligence. 10K+ users.

Frequently asked questions

What does the Alphagbm Market Sentiment AI skill do?

Why use Alphagbm Market Sentiment on TypingMind?

Because you install it once and use it with any model. Alphagbm Market Sentiment is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Alphagbm Market Sentiment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-market-sentiment. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Alphagbm Market Sentiment?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Alphagbm Market Sentiment?

As many as you like. As long as a model supports skills, you can use Alphagbm Market Sentiment with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Alphagbm Market Sentiment AI skill free?

Yes. It is published on GitHub by AlphaGBM under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Newsletter Generation

bytedance

OrganizationPopular

Use this skill when the user requests to generate, create, write, or draft a newsletter, email digest, weekly roundup, industry briefing, or curated content summary. Supports topic-based research,…

Ahrefs Automation

Automate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs…

Adr Reindex

Reconcile the ADR index against a DELETED ADR file or relation line by dropping and rebuilding adr-patterns + adr-edges from scratch (scripts/reindex.mjs). Use when adr-index alone leaves stale rows…

Cost Export

Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AlphaGBM Market Sentiment Dashboard

What This Skill Does

How to Use

Mock Data

API Endpoint

Related Skills

Frequently asked questions

Related AI Skills

Set up your own AI workspace now