44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
from langchain_core.tools import tool
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from typing import Annotated
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from tradingagents.dataflows.interface import route_to_vendor
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from tradingagents.utils.anonymizer import TickerAnonymizer
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@tool
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def get_indicators(
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symbol: Annotated[str, "ticker symbol of the company"],
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indicator: Annotated[str, "technical indicator to get the analysis and report of"],
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curr_date: Annotated[str, "The current trading date you are trading on, YYYY-mm-dd"],
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look_back_days: Annotated[int, "how many days to look back"] = 30,
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) -> str:
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"""
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Retrieve technical indicators for a given ticker symbol.
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Uses the configured technical_indicators vendor.
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Args:
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symbol (str): Ticker symbol of the company, e.g. AAPL, TSM
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indicator (str): Technical indicator to get the analysis and report of
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curr_date (str): The current trading date you are trading on, YYYY-mm-dd
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look_back_days (int): How many days to look back, default is 30
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Returns:
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str: A formatted dataframe containing the technical indicators for the specified ticker symbol and indicator.
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"""
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# Initialize anonymizer locally to ensure fresh state loading
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anonymizer = TickerAnonymizer()
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# 1. Deanonymize ticker
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real_ticker = anonymizer.deanonymize_ticker(symbol)
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if not real_ticker:
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real_ticker = symbol
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try:
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# 2. Get Data
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raw_data = route_to_vendor("get_indicators", real_ticker, indicator, curr_date, look_back_days)
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# 3. Anonymize Output
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anonymized_data = anonymizer.anonymize_text(raw_data, real_ticker)
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return anonymized_data
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except Exception as e:
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return f"Error executing tool get_indicators: {str(e)}"
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return anonymized_data |