5964cadf94
Implemented Discord bot for automated stock price tracking and reporting with the following features: - Hourly PayPal (PYPL) stock price updates during NYSE market hours - Custom branding for PYPL as "Steaks Stablecoin Value" - Manual stock price queries via !stock and !price commands - Multi-provider stock API support (Yahoo Finance and Finnhub) - NYSE market hours detection with holiday awareness - Discord embed formatting with color-coded price changes - Docker containerization for consistent deployment - Comprehensive documentation and deployment guides Technical stack: - Python 3.9+ with discord.py - Finnhub API for stock price data - APScheduler for hourly automated updates - Docker support for local and Unraid deployment 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
122 lines
4.1 KiB
Python
122 lines
4.1 KiB
Python
from datetime import datetime, time
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import pytz
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import logging
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logger = logging.getLogger(__name__)
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class MarketHours:
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"""
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Utility class for determining NYSE market hours.
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Market is open 9:30 AM - 4:00 PM ET, Monday-Friday (excluding holidays).
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"""
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NYSE_TIMEZONE = pytz.timezone('America/New_York')
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MARKET_OPEN = time(9, 30)
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MARKET_CLOSE = time(16, 0)
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# Major NYSE holidays (this is a simplified list - production systems would use a holiday calendar API)
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HOLIDAYS_2024 = [
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datetime(2024, 1, 1), # New Year's Day
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datetime(2024, 1, 15), # MLK Day
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datetime(2024, 2, 19), # Presidents Day
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datetime(2024, 3, 29), # Good Friday
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datetime(2024, 5, 27), # Memorial Day
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datetime(2024, 6, 19), # Juneteenth
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datetime(2024, 7, 4), # Independence Day
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datetime(2024, 9, 2), # Labor Day
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datetime(2024, 11, 28), # Thanksgiving
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datetime(2024, 12, 25), # Christmas
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]
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HOLIDAYS_2025 = [
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datetime(2025, 1, 1), # New Year's Day
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datetime(2025, 1, 20), # MLK Day
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datetime(2025, 2, 17), # Presidents Day
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datetime(2025, 4, 18), # Good Friday
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datetime(2025, 5, 26), # Memorial Day
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datetime(2025, 6, 19), # Juneteenth
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datetime(2025, 7, 4), # Independence Day
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datetime(2025, 9, 1), # Labor Day
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datetime(2025, 11, 27), # Thanksgiving
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datetime(2025, 12, 25), # Christmas
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]
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@classmethod
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def is_market_open(cls, check_time: datetime = None) -> bool:
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"""
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Determine if the NYSE is currently open.
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Args:
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check_time: Datetime to check (defaults to now)
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Returns:
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True if market is open, False otherwise
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"""
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if check_time is None:
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check_time = datetime.now(cls.NYSE_TIMEZONE)
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else:
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check_time = check_time.astimezone(cls.NYSE_TIMEZONE)
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# Check if weekend
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if check_time.weekday() >= 5: # Saturday = 5, Sunday = 6
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logger.debug("Market closed: Weekend")
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return False
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# Check if holiday
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check_date = check_time.date()
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all_holidays = cls.HOLIDAYS_2024 + cls.HOLIDAYS_2025
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if any(holiday.date() == check_date for holiday in all_holidays):
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logger.debug(f"Market closed: Holiday ({check_date})")
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return False
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# Check if within market hours
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current_time = check_time.time()
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if cls.MARKET_OPEN <= current_time < cls.MARKET_CLOSE:
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return True
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else:
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logger.debug(f"Market closed: Outside trading hours ({current_time})")
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return False
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@classmethod
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def get_next_market_open(cls, from_time: datetime = None) -> datetime:
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"""
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Calculate the next time the market will open.
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Args:
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from_time: Starting datetime (defaults to now)
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Returns:
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Datetime of next market open
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"""
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if from_time is None:
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from_time = datetime.now(cls.NYSE_TIMEZONE)
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else:
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from_time = from_time.astimezone(cls.NYSE_TIMEZONE)
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# Start checking from the next day at market open
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next_day = from_time.replace(hour=cls.MARKET_OPEN.hour,
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minute=cls.MARKET_OPEN.minute,
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second=0,
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microsecond=0)
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# If we have not passed today's open time, check today first
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if from_time.time() < cls.MARKET_OPEN:
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next_day = next_day
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else:
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# Otherwise start from tomorrow
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next_day = next_day.replace(day=next_day.day + 1)
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# Find the next valid market day
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max_iterations = 14 # Search up to 2 weeks ahead
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for _ in range(max_iterations):
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if cls.is_market_open(next_day):
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return next_day
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# Move to next day
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next_day = next_day.replace(day=next_day.day + 1)
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# Fallback (should not reach here under normal circumstances)
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logger.warning("Could not determine next market open within 2 weeks")
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return next_day
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