MCP Avantage

by MissionSquad

technicalIndicators_ema

Calculate the Exponential Moving Average (EMA) for financial datasets using specified stock symbols, intervals, and price types to analyze trends with the MCP Avantage server.

Instructions

Exponential Moving Average (EMA)

Input Schema

NameRequiredDescriptionDefault
datatypeNoData format for the response.json
intervalYesTime interval (e.g., "daily", "60min", "weekly"). Check Alpha Vantage docs for valid intervals per indicator.
monthNoSpecific month for intraday intervals (YYYY-MM format).
series_typeYesThe desired price type.
symbolYesThe stock symbol (e.g., "IBM").
time_periodYesNumber of data points used to calculate the indicator.

Input Schema (JSON Schema)

{ "additionalProperties": false, "description": "Parameters for time series based technical indicators.", "properties": { "datatype": { "default": "json", "description": "Data format for the response.", "enum": [ "json", "csv" ], "type": "string" }, "interval": { "description": "Time interval (e.g., \"daily\", \"60min\", \"weekly\"). Check Alpha Vantage docs for valid intervals per indicator.", "type": "string" }, "month": { "description": "Specific month for intraday intervals (YYYY-MM format).", "type": "string" }, "series_type": { "description": "The desired price type.", "enum": [ "close", "open", "high", "low" ], "type": "string" }, "symbol": { "description": "The stock symbol (e.g., \"IBM\").", "type": "string" }, "time_period": { "description": "Number of data points used to calculate the indicator.", "type": "string" } }, "required": [ "symbol", "interval", "time_period", "series_type" ], "type": "object" }

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