# NeuroTrade Signal API

> Use this tool when you need to generate accurate crypto trading signals to inform investment decisions. The NeuroTrade Signal API provides AI-powered signals, including direction, confidence, and technical analysis, to solve problems of market uncertainty and trading strategy optimization. It takes in market data and outputs actionable trading insights, making it ideal for use in high-frequency trading, portfolio management, and risk analysis contexts.

Canonical page: https://skillsregistry.net/skills/com-a3eecosystem-neurotrade-signal  
JSON: https://api.skillsregistry.net/v1/skills/com-a3eecosystem-neurotrade-signal

## Description

AI-powered crypto trading signals: direction, confidence, TP/SL, thesis, technicals. 8 strategies.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-04-23

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.a3eecosystem.neurotrade%2Fsignal)

## Use it

MCP endpoint published by the skill: `https://neurotrade.a3eecosystem.com/mcp`

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": "com-a3eecosystem-neurotrade-signal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-a3eecosystem-neurotrade-signal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-a3eecosystem-neurotrade-signal/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