diff --git a/tradingagents/dataflows/alpha_vantage_news.py b/tradingagents/dataflows/alpha_vantage_news.py index 4cf7bb0e..9783b307 100644 --- a/tradingagents/dataflows/alpha_vantage_news.py +++ b/tradingagents/dataflows/alpha_vantage_news.py @@ -1,4 +1,5 @@ from .alpha_vantage_common import _make_api_request, format_datetime_for_api +from .config import get_config def get_news(ticker, start_date, end_date) -> dict[str, str] | str: """Returns live and historical market news & sentiment data from premier news outlets worldwide. @@ -22,21 +23,27 @@ def get_news(ticker, start_date, end_date) -> dict[str, str] | str: return _make_api_request("NEWS_SENTIMENT", params) -def get_global_news(curr_date, look_back_days: int = 7, limit: int = 50) -> dict[str, str] | str: +def get_global_news(curr_date, look_back_days: int = None, limit: int = None) -> dict[str, str] | str: """Returns global market news & sentiment data without ticker-specific filtering. Covers broad market topics like financial markets, economy, and more. Args: curr_date: Current date in yyyy-mm-dd format. - look_back_days: Number of days to look back (default 7). - limit: Maximum number of articles (default 50). + look_back_days: Number of days to look back (defaults to global_news_lookback_days config). + limit: Maximum number of articles (defaults to global_news_article_limit config). Returns: Dictionary containing global news sentiment data or JSON string. """ from datetime import datetime, timedelta + config = get_config() + if look_back_days is None: + look_back_days = config.get("global_news_lookback_days", 7) + if limit is None: + limit = config.get("global_news_article_limit", 50) + # Calculate start date curr_dt = datetime.strptime(curr_date, "%Y-%m-%d") start_dt = curr_dt - timedelta(days=look_back_days) diff --git a/tradingagents/dataflows/yfinance_news.py b/tradingagents/dataflows/yfinance_news.py index dd1046f5..40bb300b 100644 --- a/tradingagents/dataflows/yfinance_news.py +++ b/tradingagents/dataflows/yfinance_news.py @@ -5,6 +5,7 @@ from datetime import datetime from dateutil.relativedelta import relativedelta from .stockstats_utils import yf_retry +from .config import get_config def _extract_article_data(article: dict) -> dict: @@ -66,7 +67,8 @@ def get_news_yfinance( """ try: stock = yf.Ticker(ticker) - news = yf_retry(lambda: stock.get_news(count=20)) + count = get_config().get("news_article_limit", 20) + news = yf_retry(lambda: stock.get_news(count=count)) if not news: return f"No news found for {ticker}" @@ -106,20 +108,25 @@ def get_news_yfinance( def get_global_news_yfinance( curr_date: str, - look_back_days: int = 7, - limit: int = 10, + look_back_days: int = None, + limit: int = None, ) -> str: """ Retrieve global/macro economic news using yfinance Search. Args: curr_date: Current date in yyyy-mm-dd format - look_back_days: Number of days to look back - limit: Maximum number of articles to return + look_back_days: Number of days to look back (defaults to global_news_lookback_days config) + limit: Maximum number of articles to return (defaults to global_news_article_limit config) Returns: Formatted string containing global news articles """ + config = get_config() + if look_back_days is None: + look_back_days = config.get("global_news_lookback_days", 7) + if limit is None: + limit = config.get("global_news_article_limit", 10) # Search queries for macro/global news search_queries = [ "stock market economy", diff --git a/tradingagents/default_config.py b/tradingagents/default_config.py index a9b75e4b..b0314a5d 100644 --- a/tradingagents/default_config.py +++ b/tradingagents/default_config.py @@ -22,6 +22,10 @@ DEFAULT_CONFIG = { "max_debate_rounds": 1, "max_risk_discuss_rounds": 1, "max_recur_limit": 100, + # News fetching configuration + "news_article_limit": 20, # max articles per ticker for get_news + "global_news_lookback_days": 7, # lookback window (days) for get_global_news + "global_news_article_limit": 10, # max articles returned by get_global_news # Data vendor configuration # Category-level configuration (default for all tools in category) "data_vendors": {