# InvestBuddy

> Use this tool when you need to make informed investment decisions with accurate stock price predictions and portfolio optimization. InvestBuddy solves problems related to stock market volatility and portfolio management by providing 10-day price forecasts, market regime detection, and AI-powered stock discovery. It takes an InvestBuddy API key as input and outputs confidence scores, optimized portfolio recommendations, and stock suggestions, making it ideal for investors and financial analysts seeking data-driven insights.

Canonical page: https://skillsregistry.net/skills/danielrz-investbuddy  
JSON: https://api.skillsregistry.net/v1/skills/danielrz-investbuddy

## Description

Integrates LSTM-based stock price predictions into Claude Desktop. Provides 10-day price forecasts with confidence scores, market regime detection (bull/bear/sideways), portfolio optimization using reinforcement learning, and AI-powered stock discovery. Requires InvestBuddy API key for access to prediction models.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/danielrz-investbuddy)
- **Repository:** <https://github.com/danielrz/investbuddy-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "danielrz-investbuddy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danielrz-investbuddy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danielrz-investbuddy/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt