getEMA

Analyze stock trends and identify buy/sell signals by calculating the Exponential Moving Average (EMA) using historical price data from the Financial Modeling Prep API.

Instructions

Calculate the Exponential Moving Average (EMA) for a stock using the FMP EMA API. This tool helps users analyze trends and identify potential buy or sell signals based on historical price data.

Input Schema

Name	Required	Description
`from`	No	Start date (YYYY-MM-DD)
`periodLength`	Yes	Period length for the indicator
`symbol`	Yes	Stock symbol
`timeframe`	Yes	Timeframe (1min, 5min, 15min, 30min, 1hour, 4hour, 1day)
`to`	No	End date (YYYY-MM-DD)

Input Schema (JSON Schema)

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false,
  "properties": {
    "from": {
      "description": "Start date (YYYY-MM-DD)",
      "type": "string"
    },
    "periodLength": {
      "description": "Period length for the indicator",
      "type": "number"
    },
    "symbol": {
      "description": "Stock symbol",
      "type": "string"
    },
    "timeframe": {
      "description": "Timeframe (1min, 5min, 15min, 30min, 1hour, 4hour, 1day)",
      "type": "string"
    },
    "to": {
      "description": "End date (YYYY-MM-DD)",
      "type": "string"
    }
  },
  "required": [
    "symbol",
    "periodLength",
    "timeframe"
  ],
  "type": "object"
}

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Financial Modeling Prep MCP Server

getEMA

Instructions

Input Schema

Input Schema (JSON Schema)

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