get_ml_rsi

get_ml_rsi

Enhance RSI analysis with machine learning using K-Nearest Neighbors. Adjust overbought/oversold levels dynamically based on historical pattern similarity for improved cryptocurrency trading decisions.

Instructions

Get ML-enhanced RSI using K-Nearest Neighbors algorithm for pattern recognition. Provides adaptive overbought/oversold levels and enhanced RSI values based on historical pattern similarity.

Input Schema

Name	Required	Description
`category`	Yes	Category of the instrument
`featureCount`	No	Number of features to use 1-5 (default: 3)
`interval`	Yes	Kline interval
`knnLookback`	No	Historical period for pattern matching (default: 100)
`knnNeighbors`	No	Number of neighbors for KNN algorithm (default: 5)
`limit`	No	Number of data points to return (default: 200)
`mlWeight`	No	ML influence weight 0-1 (default: 0.4)
`rsiLength`	No	RSI calculation period (default: 14)
`smoothingMethod`	No	Smoothing method to apply (default: none)
`symbol`	Yes	Trading pair symbol (e.g., 'BTCUSDT')

Input Schema (JSON Schema)

{
  "properties": {
    "category": {
      "description": "Category of the instrument",
      "enum": [
        "spot",
        "linear",
        "inverse"
      ],
      "type": "string"
    },
    "featureCount": {
      "description": "Number of features to use 1-5 (default: 3)",
      "maximum": 5,
      "minimum": 1,
      "type": "number"
    },
    "interval": {
      "description": "Kline interval",
      "enum": [
        "1",
        "3",
        "5",
        "15",
        "30",
        "60",
        "120",
        "240",
        "360",
        "720",
        "D",
        "W",
        "M"
      ],
      "type": "string"
    },
    "knnLookback": {
      "description": "Historical period for pattern matching (default: 100)",
      "maximum": 500,
      "minimum": 20,
      "type": "number"
    },
    "knnNeighbors": {
      "description": "Number of neighbors for KNN algorithm (default: 5)",
      "maximum": 50,
      "minimum": 1,
      "type": "number"
    },
    "limit": {
      "description": "Number of data points to return (default: 200)",
      "maximum": 1000,
      "minimum": 50,
      "type": "number"
    },
    "mlWeight": {
      "description": "ML influence weight 0-1 (default: 0.4)",
      "maximum": 1,
      "minimum": 0,
      "type": "number"
    },
    "rsiLength": {
      "description": "RSI calculation period (default: 14)",
      "maximum": 50,
      "minimum": 2,
      "type": "number"
    },
    "smoothingMethod": {
      "description": "Smoothing method to apply (default: none)",
      "enum": [
        "none",
        "kalman",
        "alma",
        "double_ema"
      ],
      "type": "string"
    },
    "symbol": {
      "description": "Trading pair symbol (e.g., 'BTCUSDT')",
      "pattern": "^[A-Z0-9]+$",
      "type": "string"
    }
  },
  "required": [
    "symbol",
    "category",
    "interval"
  ],
  "type": "object"
}

Bybit MCP Server

Instructions

Input Schema

Input Schema (JSON Schema)

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