Remove yfinance/XAU/XAG fallback — focus on currency pairs only
- data_provider: strip yfinance imports, _YF_FALLBACK_MAP, _YF_INTERVALS, _YF_SESSION, _fetch_yfinance_fallback, _resample_h1_to_h4. Twelve Data is the sole data source. Raises DataUnavailableError if a pair isn't on the configured plan. - config: remove XAU/USD and XAG/USD from SYMBOL_DISPLAY and PIP_VALUES. PIP_VALUES is now empty (defaults: 0.01 JPY pairs, 0.0001 forex). - signal_aggregator: clear _PER_SYMBOL_TFS overrides (was XAU/XAG-only). - telegram_bot: replace XAUUSD with AUDUSD in SCAN_PAIRS. Auto-load .env via python-dotenv so TELEGRAM_BOT_TOKEN/GEMINI_API_KEY are picked up. - requirements: drop yfinance and curl_cffi dependencies. End-to-end pipeline test passes: data freshness, news engine (Gemini live), signal aggregator, and the /signal+/scan code paths in telegram_bot. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@@ -25,6 +25,14 @@ from datetime import datetime
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from typing import Dict, List, Optional, Tuple
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from zoneinfo import ZoneInfo
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# Load .env so TELEGRAM_BOT_TOKEN / GEMINI_API_KEY / TWELVE_DATA_API_KEY
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# don't need to be exported manually.
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try:
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from dotenv import load_dotenv
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load_dotenv()
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except ImportError:
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pass
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from telegram import BotCommand, Update
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from telegram.constants import ParseMode
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from telegram.ext import Application, CommandHandler, ContextTypes
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@@ -43,8 +51,8 @@ logger = logging.getLogger(__name__)
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SCAN_TIMEFRAMES = ["M15", "H1"] # two cards (M15 and H1) per /scan; cache shared
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# Pairs analyzed by the /scan command. Limited to the most liquid majors
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# plus gold to keep credits low and signal quality high.
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SCAN_PAIRS = ["EURUSD=X", "USDJPY=X", "GBPUSD=X", "XAUUSD=X"]
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# to keep credits low and signal quality high.
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SCAN_PAIRS = ["EURUSD=X", "USDJPY=X", "GBPUSD=X", "AUDUSD=X"]
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_TF_MAP = {
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"M5": Timeframe.M5, "M15": Timeframe.M15,
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