NeuroTrade Signal API
AI-powered crypto trading signals: direction, confidence, TP/SL, thesis, technicals. 8 strategies.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"signal": {
"url": "https://neurotrade.a3eecosystem.com/mcp"
}
}
}Remote endpoints
https://neurotrade.a3eecosystem.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (2)
⚪generate_signal(symbol, timeframe, strategy, personality, include_thesis)
Generate an AI-powered crypto trading signal for a given pair and timeframe. Returns: action (OPEN_LONG | OPEN_SHORT | CLOSE), confidence (0.0–1.0), entry_price, take_profit (array of price levels), stop_loss, risk_reward ratio, indicators (rsi, macd, ema_20, atr), risk_flags (overbought_rsi | oversold_rsi | low_volume | high_spread | near_resistance | near_support), generated_at (ISO 8601), expires_at (ISO 8601), and quota_remaining. The `thesis` field contains LLM reasoning and is only present when include_thesis=true. On quota exhaustion returns error_code=QUOTA_EXCEEDED with Retry-After header. Requires Authorization: Bearer nt_<api_key>.
Input Schema
{
"type": "object",
"properties": {
"symbol": {
"type": "string",
"description": "Trading pair in BASE/QUOTE format, e.g. BTC/USDT, ETH/USDT, SOL/USDT.",
"pattern": "^[A-Z0-9]+/[A-Z0-9]+$"
},
"timeframe": {
"type": "string",
"description": "Candlestick timeframe for signal analysis. Defaults to 15m.",
"enum": [
"1m",
"5m",
"15m",
"1h",
"4h",
"1d"
],
"default": "15m"
},
"strategy": {
"type": "string",
"description": "Signal strategy to apply. Defaults to trend_rider.",
"enum": [
"trend_rider",
"breakout_hunter",
"scalper",
"swing_master",
"macro_lens",
"news_reactive",
"momentum_surge",
"mean_reversion"
]
},
"personality": {
"type": "string",
"description": "Risk personality shaping confidence weighting and TP/SL aggressiveness. Defaults to scalper.",
"enum": [
"scalper",
"swing",
"macro",
"trend_rider",
"news_reactive",
"breakout_hunter"
]
},
"include_thesis": {
"type": "boolean",
"description": "When true, includes the LLM-generated reasoning in the `thesis` field of the response. Adds ~200ms latency.",
"default": true
}
},
"required": [
"symbol"
]
}🟢get_account
Return the current NeuroTrade B2B API quota status: plan tier, calls used, calls remaining, and quota reset date. Requires a valid NeuroTrade B2B API key.
Input Schema
{
"type": "object",
"properties": {}
}Community
Evidence