Tradingview MCP
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
Retrieve a snapshot of market sector performance using Octagon MCP.
$ npx skills add OctagonAI/skills --skill sector-performance-snapshot -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OctagonAI/skills sector-performance-snapshot --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sector-performance-snapshot .claude/skills/sector-performance-snapshot && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "sector-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sector-performance-snapshot into .claude/skills/sector-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sector-performance-snapshot", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OctagonAI/skills/tree/main/skills/sector-performance-snapshotType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OctagonAI/skills --skill sector-performance-snapshot -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OctagonAI/skills sector-performance-snapshot --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sector-performance-snapshot .agents/skills/sector-performance-snapshot && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sector-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sector-performance-snapshot into .agents/skills/sector-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sector-performance-snapshot", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OctagonAI/skills --skill sector-performance-snapshot -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OctagonAI/skills sector-performance-snapshot --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sector-performance-snapshot .cursor/skills/sector-performance-snapshot && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sector-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sector-performance-snapshot into .cursor/skills/sector-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sector-performance-snapshot", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OctagonAI/skills.git --path skills/sector-performance-snapshot--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OctagonAI/skills --skill sector-performance-snapshot -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OctagonAI/skills sector-performance-snapshot --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sector-performance-snapshot .gemini/skills/sector-performance-snapshot && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sector-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sector-performance-snapshot into .gemini/skills/sector-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sector-performance-snapshot", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OctagonAI/skills sector-performance-snapshotInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OctagonAI/skills --skill sector-performance-snapshot -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sector-performance-snapshot .github/skills/sector-performance-snapshot && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sector-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sector-performance-snapshot into .github/skills/sector-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sector-performance-snapshot", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OctagonAI/skills --skill sector-performance-snapshot -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OctagonAI/skills sector-performance-snapshot --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OctagonAI/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sector-performance-snapshot .opencode/skills/sector-performance-snapshot && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sector-performance-snapshot" agent skill from https://github.com/OctagonAI/skills/tree/main/skills/sector-performance-snapshot into .opencode/skills/sector-performance-snapshot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sector-performance-snapshot", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
sector-performance-snapshotRetrieve a snapshot of market sector performance using Octagon MCP.
Sector Performance Snapshot is an agent skill from OctagonAI/skills. Retrieve a snapshot of market sector performance using Octagon MCP. Use when analyzing sector-wide metrics including revenue, EBITDA, net income, market cap, and enterprise value for companies within a specific sector and exchange.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `README.md`, `marketplace.json` and `references/interpreting-results.md`).
It sits in Business, Finance & HR, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: A collection of Claude skills for agentic financial research by Octagon. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 51e938c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sector Performance Snapshot loads about 1.9k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 578 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from OctagonAI/skills at commit 51e938c, republished under its MIT licence (© OctagonAI). 578 words, ~1,859 tokens.
.claude/skills/sector-performance-snapshot/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.Retrieve comprehensive sector performance metrics by exchange using the Octagon MCP server.
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
Determine your query parameters:
Use the octagon-agent tool with a natural language prompt:
Retrieve a snapshot of market sector performance for <DATE>, filtered by exchange <EXCHANGE> and sector <SECTOR>.MCP Call Format:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve a snapshot of market sector performance for 2025-02-03, filtered by exchange NASDAQ and sector Technology."
}
}The agent returns comprehensive sector performance data:
| Metric | Value |
|---|---|
| Revenue | $29,094.00 million |
| EBITDA | $12,486.00 million |
| Net Income | $3,882.00 million |
| Market Cap | $113,333.57 million |
| Enterprise Value | $115,021.51 million |
| Employees | 48,000 |
| Recent Debt | $2.68 billion raised |
Additional information:
Data Sources: octagon-companies-agent
See references/interpreting-results.md for guidance on:
Specific Sector and Exchange:
Retrieve a snapshot of market sector performance for 2025-02-03, filtered by exchange NASDAQ and sector Technology.Broad Sector View:
Get performance metrics for all Healthcare companies on NYSE.Growth Focus:
What are the fastest growing companies in the Technology sector?Valuation Analysis:
Show market cap and enterprise value for Financial sector on NYSE.Sector Comparison:
Compare performance metrics of Technology vs. Healthcare sectors.| Metric | Description |
|---|---|
| Revenue | Total sales/income |
| Revenue Growth | YoY change |
| Revenue per Employee | Efficiency |
| Revenue Distribution | Concentration |
| Metric | Description |
|---|---|
| EBITDA | Operating profitability |
| EBITDA Margin | EBITDA / Revenue |
| Net Income | Bottom line profit |
| Net Margin | Net Income / Revenue |
| Metric | Description |
|---|---|
| Market Cap | Equity value |
| Enterprise Value | Total firm value |
| EV/Revenue | Revenue multiple |
| EV/EBITDA | Earnings multiple |
| Metric | Description |
|---|---|
| Employees | Workforce size |
| Revenue/Employee | Productivity |
| Market Cap/Employee | Value per employee |
| Type | Description |
|---|---|
| Aggregate | Sum of all companies |
| Average | Mean per company |
| Median | Middle company |
| Weighted | Market-cap weighted |
| Factor | Impact on Metrics |
|---|---|
| Large-cap dominance | Skews aggregates |
| Diverse industries | Wide ranges |
| Cyclicality | Time-sensitive |
| Profitability mix | Margin variation |
| Metric | Typical Range |
|---|---|
| Revenue Growth | 10-30% |
| EBITDA Margin | 20-40% |
| Net Margin | 10-25% |
| EV/Revenue | 3-10x |
| Metric | Typical Range |
|---|---|
| Revenue Growth | 5-15% |
| EBITDA Margin | 15-30% |
| Net Margin | 5-15% |
| EV/Revenue | 2-6x |
| Metric | Typical Range |
|---|---|
| Revenue Growth | 3-10% |
| Net Margin | 15-30% |
| ROE | 10-15% |
| P/E | 10-18x |
| Metric | Typical Range |
|---|---|
| Revenue Growth | 3-8% |
| EBITDA Margin | 12-22% |
| Net Margin | 5-12% |
| EV/EBITDA | 8-14x |
| Indicator | Healthy | Concerning |
|---|---|---|
| Revenue Growth | Positive, consistent | Declining |
| Margins | Stable/expanding | Contracting |
| Cash Generation | Strong | Weak |
| Debt Levels | Manageable | Excessive |
| Comparison | Purpose |
|---|---|
| vs. Prior Period | Trend direction |
| vs. Other Sectors | Relative performance |
| vs. Market | Alpha/beta analysis |
| vs. Expectations | Beat/miss assessment |
| Metric | Significance |
|---|---|
| Recent Debt Raised | Capital needs |
| Debt/EBITDA | Leverage level |
| Interest Coverage | Debt service ability |
| Maturity Schedule | Refinancing risk |
| Metric | Significance |
|---|---|
| Market Cap | Equity valuation |
| Shares Outstanding | Dilution |
| Float | Tradeable shares |
| Insider Ownership | Alignment |
| Method | Approach |
|---|---|
| Same Industry | Direct peers |
| Similar Size | Market cap range |
| Similar Model | Business type |
| Similar Geography | Regional focus |
| Metric | What It Shows |
|---|---|
| Market Share | Industry position |
| Relative Size | Scale vs. peers |
| Relative Growth | Momentum vs. peers |
| Relative Margins | Efficiency vs. peers |
Which sectors have the strongest revenue growth?How does AAPL compare to the Technology sector average?What are the key metrics for Healthcare sector on NYSE?How has Technology sector profitability changed over time?Who are the main competitors to company X in this sector?Use multiple metrics: Don't rely on one indicator.
Consider sector norms: Different sectors have different benchmarks.
Track trends: Point-in-time vs. direction.
Weight by size: Large companies dominate aggregates.
Look for outliers: May indicate opportunities or risks.
Combine with macro: Sector performance reflects economy.
| Skill | Combined Use |
|---|---|
| sector-pe-ratios | Valuation context |
| industry-pe-ratios | Industry drill-down |
| income-statement | Company-specific financials |
| financial-metrics-analysis | Detailed company metrics |
| stock-performance | Price performance overlay |
© OctagonAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in skills/sector-performance-snapshot of OctagonAI/skills.
Open the folder on GitHubat commit 51e938c
Sector Performance Snapshot next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sector Performance Snapshot this skillOctagonAI/skills | 127 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Okx Cex Marketdex-original/okx-agent-trade-kit | 110 | 1 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Polymarket Tennislivetennisapi/livetennisapi-mcp | 152 | — | ~3k | Automated safety check: Pass | MIT | |
| Okx Sentiment Trackerdex-original/okx-agent-trade-kit | 110 | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Odoo Agency Fleet Reviewerpipe-org/mcp-odoo | 421 | — | ~699 | Automated safety check: Pass | MIT |
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Works with
Categories
Retrieve a snapshot of market sector performance using Octagon MCP. Sector Performance Snapshot is an agent skill from OctagonAI/skills. Retrieve a snapshot of market sector performance using Octagon MCP.
Sector Performance Snapshot fits situations like: analyzing sector-wide metrics including revenue; enterprise value for companies within a specific sector and exchange.
Run `npx skills add OctagonAI/skills --skill sector-performance-snapshot -a claude-code`. Or copy the skill folder (skills/sector-performance-snapshot in OctagonAI/skills) into .claude/skills/sector-performance-snapshot in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OctagonAI/skills --skill sector-performance-snapshot -a codex`. Or copy the skill folder (skills/sector-performance-snapshot in OctagonAI/skills) into .agents/skills/sector-performance-snapshot in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OctagonAI/skills --skill sector-performance-snapshot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sector-performance-snapshot, .gemini/skills/sector-performance-snapshot, .github/skills/sector-performance-snapshot and .opencode/skills/sector-performance-snapshot in your project.
SKILL.md names no scripts, command-line tools or credentials: Sector Performance Snapshot is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Sector Performance Snapshot is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Sector Performance Snapshot: Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Okx Cex Market (dex-original/okx-agent-trade-kit, 110 stars), Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars) and Okx Sentiment Tracker (dex-original/okx-agent-trade-kit, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OctagonAI (a GitHub organization) maintains it in OctagonAI/skills, which has 127 GitHub stars. The repository holds 53 skills in this directory. The repository was last updated on June 5, 2026.
Source: OctagonAI/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.