AI-powered crypto trading signals: direction, confidence, TP/SL, thesis, technicals. 8 strategies.
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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>.
Trading pair in BASE/QUOTE format, e.g. BTC/USDT, ETH/USDT, SOL/USDT.
Signal strategy to apply. Defaults to trend_rider.
Candlestick timeframe for signal analysis. Defaults to 15m.
Risk personality shaping confidence weighting and TP/SL aggressiveness. Defaults to scalper.
When true, includes the LLM-generated reasoning in the `thesis` field of the response. Adds ~200ms latency.
This tool isn't marked read-only, so it may change something on the server or in an account you connected.
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>.
| Argument | Type | Description |
|---|---|---|
| symbol* | string | Trading pair in BASE/QUOTE format, e.g. BTC/USDT, ETH/USDT, SOL/USDT. |
| strategy | string | Signal strategy to apply. Defaults to trend_rider. |
| timeframe | string | Candlestick timeframe for signal analysis. Defaults to 15m. |
| personality | string | Risk personality shaping confidence weighting and TP/SL aggressiveness. Defaults to scalper. |
| include_thesis | boolean | When true, includes the LLM-generated reasoning in the `thesis` field of the response. Adds ~200ms latency. |
{
"type": "object",
"required": [
"symbol"
],
"properties": {
"symbol": {
"type": "string",
"pattern": "^[A-Z0-9]+/[A-Z0-9]+$",
"description": "Trading pair in BASE/QUOTE format, e.g. BTC/USDT, ETH/USDT, SOL/USDT."
},
"strategy": {
"enum": [
"trend_rider",
"breakout_hunter",
"scalper",
"swing_master",
"macro_lens",
"news_reactive",
"momentum_surge",
"mean_reversion"
],
"type": "string",
"description": "Signal strategy to apply. Defaults to trend_rider."
},
"timeframe": {
"enum": [
"1m",
"5m",
"15m",
"1h",
"4h",
"1d"
],
"type": "string",
"default": "15m",
"description": "Candlestick timeframe for signal analysis. Defaults to 15m."
},
"personality": {
"enum": [
"scalper",
"swing",
"macro",
"trend_rider",
"news_reactive",
"breakout_hunter"
],
"type": "string",
"description": "Risk personality shaping confidence weighting and TP/SL aggressiveness. Defaults to scalper."
},
"include_thesis": {
"type": "boolean",
"default": true,
"description": "When true, includes the LLM-generated reasoning in the `thesis` field of the response. Adds ~200ms latency."
}
}
}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.
No arguments.
{
"type": "object",
"properties": {}
}