TA-Lib MCP Server

"""Midpoint Price over period (MIDPRICE) 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 MIDPRICEIndicator(BaseIndicator): def __init__(self): super().__init__(name="midprice", description="Midpoint Price over period") @property def input_schema(self) -> Dict[str, Any]: return { "type": "object", "properties": { "high_prices": {"type": "array", "items": {"type": "number"}}, "low_prices": {"type": "array", "items": {"type": "number"}}, "timeperiod": {"type": "integer", "default": 14}, }, "required": ["high_prices", "low_prices"], } async def calculate(self, market_data: MarketData, options: Dict[str, Any] = None) -> IndicatorResult: if options is None: options = {} timeperiod = options.get("timeperiod", 14) high = np.asarray(market_data.high or [], dtype=float) low = np.asarray(market_data.low or [], dtype=float) try: out = ta.MIDPRICE(high, low, timeperiod=timeperiod) return IndicatorResult(indicator_name=self.name, success=True, values={"midprice": out.tolist()}, metadata={"timeperiod": timeperiod, "input_points": len(high), "output_points": len(out)}) except Exception as e: return IndicatorResult(indicator_name=self.name, success=False, values={}, error_message=str(e))