historical-financial-ratings

Retrieve historical financial ratings and key metric scores over time using Octagon MCP. Use when analyzing overall ratings, return on assets, return on equity, discounted cash flow scores, debt-to-equity scores, and letter grades (A+, A, B, etc.) for any public company.

27 stars

Best use case

historical-financial-ratings is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Retrieve historical financial ratings and key metric scores over time using Octagon MCP. Use when analyzing overall ratings, return on assets, return on equity, discounted cash flow scores, debt-to-equity scores, and letter grades (A+, A, B, etc.) for any public company.

Teams using historical-financial-ratings should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/historical-financial-ratings/SKILL.md --create-dirs "https://raw.githubusercontent.com/OctagonAI/skills/main/skills/historical-financial-ratings/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/historical-financial-ratings/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How historical-financial-ratings Compares

Feature / Agenthistorical-financial-ratingsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Retrieve historical financial ratings and key metric scores over time using Octagon MCP. Use when analyzing overall ratings, return on assets, return on equity, discounted cash flow scores, debt-to-equity scores, and letter grades (A+, A, B, etc.) for any public company.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Historical Financial Ratings

Retrieve and analyze historical financial ratings and key metric scores over time for public companies using the Octagon MCP server.

## Prerequisites

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See [references/mcp-setup.md](references/mcp-setup.md) for installation instructions.

## Workflow

### 1. Identify Analysis Parameters

Determine the following before querying:
- **Ticker**: Stock symbol (e.g., NVDA, AAPL, MSFT)
- **Records**: Number of historical data points to retrieve (e.g., 100, 500, 2000)

### 2. Execute Query via Octagon MCP

Use the `octagon-agent` tool with a natural language prompt:

```
Retrieve historical financial ratings and key metric scores over time for <TICKER>, limited to <N> records.
```

**MCP Call Format:**

```json
{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve historical financial ratings and key metric scores over time for NVDA, limited to 2000 records."
  }
}
```

### 3. Expected Output

The agent returns historical ratings data including:

| Date | Overall Score | Overall Rating | ROA Score | ROE Score | DCF Score | D/E Score |
|------|---------------|----------------|-----------|-----------|-----------|-----------|
| 2024-01-15 | 5 | A+ | 4 | 4 | 3 | 3 |
| 2024-01-08 | 5 | A+ | 4 | 4 | 3 | 3 |
| 2023-12-29 | 5 | A | 4 | 3 | 3 | 3 |
| ... | ... | ... | ... | ... | ... | ... |

**Data Sources**: octagon-financials-agent

### 4. Interpret Results

See [references/interpreting-results.md](references/interpreting-results.md) for guidance on:
- Understanding overall scores and ratings
- Analyzing individual metric scores
- Identifying rating trends and changes
- Spotting financial health improvements or deterioration

## Example Queries

**Standard Historical Analysis:**
```
Retrieve historical financial ratings and key metric scores over time for NVDA, limited to 2000 records.
```

**Recent Ratings Focus:**
```
Retrieve historical financial ratings and key metric scores over time for AAPL, limited to 100 records.
```

**Extended Historical View:**
```
Retrieve historical financial ratings and key metric scores over time for MSFT, limited to 5000 records.
```

## Key Metrics Explained

| Metric | Definition | Score Range |
|--------|------------|-------------|
| Overall Score | Composite financial health rating | 1-5 (5 = best) |
| Overall Rating | Letter grade for financial health | A+ to F |
| ROA Score | Return on Assets efficiency | 1-5 (5 = best) |
| ROE Score | Return on Equity efficiency | 1-5 (5 = best) |
| DCF Score | Discounted Cash Flow valuation score | 1-5 (5 = best) |
| D/E Score | Debt-to-Equity health | 1-5 (5 = lowest debt) |

## Analysis Tips

1. **Consistent high scores**: Companies maintaining 5-star overall scores and A+ ratings over extended periods demonstrate stable financial excellence.

2. **Score improvements**: Watch for upward trends in individual metrics (ROA, ROE) as indicators of improving operational efficiency.

3. **Debt management**: A stable or improving D/E score suggests the company is managing leverage responsibly.

4. **Rating downgrades**: Sudden drops in overall rating (e.g., A+ to B) warrant deeper investigation into financials.

5. **Diverging metrics**: If ROE is high but ROA is low, the company may be using significant leverage to boost returns.

## Use Cases

- **Investment screening**: Filter for companies with consistently high ratings
- **Risk monitoring**: Track rating changes for portfolio holdings
- **Due diligence**: Review historical financial health before investment decisions
- **Peer comparison**: Compare rating trajectories across competitors

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