Advanced Stock Prediction Analysis with Amazon Chronos

Tools

• BoltChronosBOOST_check_market_status_simple Simple function to check market status for a specific market. Returns: str: Formatted market status information
• BoltChronosBOOST_daily_analysis Process daily timeframe stock analysis with enhanced features. This function performs comprehensive stock analysis using daily data with support for multiple prediction strategies, ensemble methods, regime detection, stress testing, covariate data, and sentiment analysis. It's designed for medium to long-term investment analysis with up to 365 days of prediction. Returns: Tuple[Dict, go.Figure, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict]: Analysis results containing:, [0] Dict: Trading Signals - Output value for the "Trading Signals" Json component, Contains RSI, MACD, Bollinger Bands, SMA, and overall trading signals, [1] go.Figure: Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with historical data, predictions, and confidence intervals, [2] Dict: Product Metrics - Output value for the "Product Metrics" Json component, Structured product metrics including Market Cap, P/E ratios, and financial ratios, [3] Dict: Risk
• BoltChronosBOOST_hourly_analysis Process hourly timeframe stock analysis with enhanced features. This function performs high-frequency stock analysis using hourly data, ideal for short to medium-term trading strategies. It includes intraday volatility analysis, volume-price trends, momentum indicators, covariate data, and sentiment analysis optimized for hourly timeframes. Returns: Tuple[Dict, go.Figure, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict]: Analysis results containing:, [0] Dict: Trading Signals - Output value for the "Trading Signals" Json component, Basic trading signals optimized for hourly timeframes, [1] go.Figure: Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with hourly data, predictions, and intraday patterns, [2] Dict: Product Metrics - Output value for the "Product Metrics" Json component, Product metrics including intraday volatility and volume analysis, [3] Dict: Risk Metrics - Output value for the "Risk Metrics" Json component,
• BoltChronosBOOST_min15_analysis Process 15-minute timeframe stock analysis with enhanced features. This function performs ultra-high-frequency stock analysis using 15-minute data, ideal for scalping and very short-term trading strategies. It includes micro-volatility analysis, volume-price relationships, momentum indicators, covariate data, and sentiment analysis optimized for 15-minute timeframes. Returns: Tuple[Dict, go.Figure, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict, Dict]: Analysis results containing:, [0] Dict: Trading Signals - Output value for the "Trading Signals" Json component, Basic trading signals optimized for 15-minute timeframes, [1] go.Figure: Analysis and Prediction - Output value for the "Analysis and Prediction" Plot component, Interactive plot with 15-minute data, predictions, and micro-patterns, [2] Dict: Product Metrics - Output value for the "Product Metrics" Json component, Product metrics including high-frequency volatility and volume analysis, [3] Dict: Risk Metrics - Output value for
• BoltChronosBOOST_update_market_summary Update market summary with enhanced yfinance data
• BoltChronosBOOST_update_system_monitor
• BoltChronosBOOST_update_system_monitor_1
• BoltChronosBOOST_update_system_monitor_2

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