feat: Add detailed stock view function and interactive signal exploration
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@ -162,6 +162,53 @@ def get_valid_tickers(min_price: float, max_price: float, min_volume: int, inter
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print(f"Error fetching tickers: {str(e)}")
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return []
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def view_stock_details(ticker: str, interval: str, start_date: datetime, end_date: datetime) -> None:
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"""Display detailed data for a single stock"""
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print(f"\n📊 Detailed Analysis for {ticker}")
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print(f"Interval: {interval}")
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print(f"Date Range: {start_date.date()} to {end_date.date()}")
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try:
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# Get price data
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df = get_stock_data(ticker, start_date, end_date, interval)
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if df.empty:
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print("No data found for this stock")
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return
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print("\nData Sample:")
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print("First 5 rows:")
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print(df.head().to_string())
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print("\nLast 5 rows:")
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print(df.tail().to_string())
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print(f"\nTotal rows: {len(df)}")
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# Calculate SunnyBands
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sunny = SunnyBands()
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results = sunny.calculate(df)
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# Get last values
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last_price = df.iloc[-1]
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last_bands = results.iloc[-1]
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print("\nLatest Values:")
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print(f"Date: {last_price['date']}")
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print(f"Open: ${last_price['open']:.2f}")
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print(f"High: ${last_price['high']:.2f}")
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print(f"Low: ${last_price['low']:.2f}")
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print(f"Close: ${last_price['close']:.2f}")
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print(f"Volume: {last_price['volume']:,}")
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print(f"\nSunnyBands Indicators:")
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print(f"DMA: ${last_bands['dma']:.2f}")
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print(f"Upper Band: ${last_bands['upper_band']:.2f}")
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print(f"Lower Band: ${last_bands['lower_band']:.2f}")
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print(f"Bullish Signal: {'Yes' if last_bands['bullish_signal'] else 'No'}")
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print(f"Bearish Signal: {'Yes' if last_bands['bearish_signal'] else 'No'}")
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except Exception as e:
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print(f"Error analyzing {ticker}: {str(e)}")
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def run_sunny_scanner(min_price: float, max_price: float, min_volume: int) -> None:
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"""Run the SunnyBand scanner and save results"""
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print(f"\nInitializing scan for stocks between ${min_price:.2f} and ${max_price:.2f}")
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@ -292,3 +339,22 @@ def run_sunny_scanner(min_price: float, max_price: float, min_volume: int) -> No
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if not bullish_signals and not bearish_signals:
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print("\nNo signals found for today.")
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else:
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while True:
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view_choice = input("\nWould you like to view detailed data for a stock? (Enter ticker or 'n' to exit): ").upper()
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if view_choice == 'N':
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break
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# Check if ticker is in our signals
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found = False
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for signals in [bullish_signals, bearish_signals]:
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for signal in signals:
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if signal['ticker'] == view_choice:
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found = True
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view_stock_details(view_choice, interval, start_date, end_date)
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break
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if found:
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break
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if not found:
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print(f"Ticker {view_choice} not found in signals list.")
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