TA-Lib MCP Server

"""MidPoint over period (MIDPOINT) adapter using TA-Lib.""" from typing import Dict, Any import numpy as np import talib as ta from .base import BaseIndicator from ..models.market_data import MarketData from ..models.indicator_result import IndicatorResult class MIDPOINTIndicator(BaseIndicator): def __init__(self): super().__init__(name="midpoint", description="MidPoint over period") @property def input_schema(self) -> Dict[str, Any]: return {"type": "object", "properties": {"close_prices": {"type": "array", "items": {"type": "number"}}, "timeperiod": {"type": "integer", "default": 14}}, "required": ["close_prices"]} async def calculate(self, market_data: MarketData, options: Dict[str, Any] = None) -> IndicatorResult: if options is None: options = {} timeperiod = options.get("timeperiod", 14) close = np.asarray(market_data.close, dtype=float) try: out = ta.MIDPOINT(close, timeperiod=timeperiod) return IndicatorResult(indicator_name=self.name, success=True, values={"midpoint": out.tolist()}, metadata={"timeperiod": timeperiod, "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))