# MoneyChoice

> Use this tool when you need to make informed investment decisions with high accuracy, as MoneyChoice provides institutional-grade economic forecasts powered by a quantum-inspired analytical framework. It solves problems related to market prediction and risk assessment by evaluating vast market state possibilities and delivering reliable forecasts. Ideal for use in financial planning and portfolio management, MoneyChoice accepts market data as input and outputs predictive insights with an 80%+ accuracy rate.

Canonical page: https://skillsregistry.net/skills/prmail-money-choice  
JSON: https://api.skillsregistry.net/v1/skills/prmail-money-choice

## Description

The MoneyChoice MCP Server delivers institutional-grade economic forecasts powered by a proprietary quantum-inspired analytical framework that evaluates vast market state possibilities simultaneously rather than relying solely on historical price patterns. Since 2015, MoneyChoice Capital has maintained a documented 80%+ prediction accuracy rate through strict signal validation and full performance

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k341q9apak)
- **Repository:** <https://github.com/prmail/moneychoice_mcp>

## 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": "prmail-money-choice"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prmail-money-choice` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prmail-money-choice/pull`

---
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