calc_ta

Calculate technical indicators using ta-lib-python and numpy. Evaluate expression strings like 'ta.SMA(close, timeperiod=30)' with specified tickers. Integrates with cached price data from 'get_price_data' for accurate analysis.

Instructions

Calculate technical indicators using ta-lib-python (TA-lib) and numpy.
This tool evaluates a given expression string using the ta-lib-python library.
The expression should follow ta-lib-python syntax, for example:
- 'ta.SMA(close, timeperiod=30)' with the ticker 'AAPL'
- 'ta.ROC(close, timeperiod=30)' with the ticker 'MSFT'
- 'ta.RSI(close, timeperiod=14)[-1]' with the ticker 'NVDA'
You must specify a ticker to use the cached price data if you've used the 'get_price_data' tool with the same ticker.
If not, the expression will be evaluated in a context where only ta-lib-python and numpy are available.

The expression string is evaluated in a context where the ta-lib-python library is available as 'ta' and numpy is available as 'np'.

Input Schema

Name	Required	Description	Default
`ta_lib_expression`	Yes
`ticker`	No

Input Schema (JSON Schema)

{
  "properties": {
    "ta_lib_expression": {
      "title": "Ta Lib Expression",
      "type": "string"
    },
    "ticker": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Ticker"
    }
  },
  "required": [
    "ta_lib_expression"
  ],
  "title": "calc_taArguments",
  "type": "object"
}

Finance Tools MCP

calc_ta

Instructions

Input Schema

Input Schema (JSON Schema)

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