calculate_t3
Compute the T3 moving average indicator for financial market analysis using price data to identify trends and generate trading signals.
Instructions
Calculate T3 Moving Average.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kwargs | Yes |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- src/mcp_talib/core/server.py:308-320 (handler)MCP tool handler for 'calculate_t3'. Decorated with @mcp.tool() for registration. Delegates computation to T3Indicator from registry.
@mcp.tool() async def calculate_t3(close: List[float], timeperiod: int = 5, vfactor: float = 0.7) -> Dict[str, Any]: try: indicator = registry.get_indicator("t3") if not indicator: raise ValueError("T3 indicator not found") market_data = MarketData(close=close) result = await indicator.calculate(market_data, {"timeperiod": timeperiod, "vfactor": vfactor}) if result.success: return {"success": True, "values": result.values, "metadata": result.metadata} return {"success": False, "error": result.error_message} except Exception as e: return {"success": False, "error": str(e)} - src/mcp_talib/indicators/t3.py:20-31 (helper)Core computation logic in T3Indicator.calculate(), using TA-Lib's ta.T3() function.
async def calculate(self, market_data: MarketData, options: Dict[str, Any] = None) -> IndicatorResult: if options is None: options = {} timeperiod = options.get("timeperiod", 5) vfactor = options.get("vfactor", 0.7) close = np.asarray(market_data.close, dtype=float) try: out = ta.T3(close, timeperiod=timeperiod, vfactor=vfactor) return IndicatorResult(indicator_name=self.name, success=True, values={"t3": out.tolist()}, metadata={"timeperiod": timeperiod, "vfactor": vfactor, "input_points": len(close), "output_points": len(out)}) except Exception as e: return IndicatorResult(indicator_name=self.name, success=False, values={}, error_message=str(e)) - src/mcp_talib/indicators/t3.py:16-19 (schema)JSON schema for input parameters to the T3 indicator (note: tool uses 'close' param).
@property def input_schema(self) -> Dict[str, Any]: return {"type": "object", "properties": {"close_prices": {"type": "array", "items": {"type": "number"}}, "timeperiod": {"type": "integer", "default": 5}, "vfactor": {"type": "number", "default": 0.7}}, "required": ["close_prices"]} - src/mcp_talib/indicators/__init__.py:40-40 (registration)Registers T3Indicator in the global indicator registry under 't3' key, enabling lookup in tool handler.
registry.register("t3", T3Indicator)