Get current stock price and basic trading information for Indian stocks.

Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY')

Get fundamental analysis data for an Indian company.

Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY')

Get recent news articles for a specific Indian stock.

Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') limit: Maximum number of news articles to return (default: 5)

Search for Indian stocks by company name or ticker symbol.

Args: query: Search query - company name or partial ticker symbol limit: Maximum number of results to return (default: 10)

Get current Indian market indices and sector performance.

Get comprehensive technical analysis indicators for an Indian stock.

Provides key technical indicators including:

• RSI (Relative Strength Index) for momentum

• MACD (Moving Average Convergence Divergence) for trend signals

• SMA/EMA (Simple/Exponential Moving Averages) for trend direction

• Rate of Change for momentum analysis

• Bollinger Bands for volatility and price position

Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') period: Time period for analysis (1mo, 3mo, 6mo, 1y, 2y)

Get corporate actions (dividends, stock splits) for an Indian stock.

Provides information about:

• Recent dividend payments and yields

• Dividend history and frequency

• Stock split history and ratios

• Dividend stability analysis

Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY')

Get analyst recommendations and price targets for an Indian stock.

Provides professional market sentiment including:

• Current analyst consensus (Buy/Sell/Hold)

• Price targets and upside potential

• Number of analysts covering the stock

• Recent recommendation changes

Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY')

Train ARIMA model with intelligent parameter selection using pmdarima auto_arima.

Provides:

• Model training with automated ARIMA order selection via pmdarima

• Data transformation support (log, Box-Cox) for improved normality

• Performance metrics and validation on holdout set

• Model persistence with caching capability

• Error handling and graceful fallbacks

Args: ticker: Stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') p: AR order (None for auto-selection) d: Differencing order (default 1 for stock prices) q: MA order (None for auto-selection) validation_split: Train-validation split ratio (default 0.2) auto_select: Use pmdarima auto_arima for parameter selection (True) or manual (False) lags: Number of lags for analysis (default 40, used for fallback ACF/PACF) period: Time period for training data ('1mo', '3mo', '6mo', '1y', '2y', '5y') transform: Data transformation type ("log", "boxcox", or None for no transformation)

Returns: List containing text analysis and ImageContent with training plot

Get major holders and institutional ownership information for an Indian stock.

Provides insights into:

• Major shareholder categories and percentages

• Top institutional holders and their positions

• Insider ownership and trading activity

• Ownership concentration analysis

Args: ticker: Indian stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY')

Perform comprehensive diagnostics on trained ARIMA model.

Provides:

• Residual analysis with ACF/PACF plots

• Normality tests and QQ plots

• Ljung-Box test for autocorrelation

• Model adequacy checks and recommendations

• Visual diagnostic charts

Args: ticker: Stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') period: Time period for analysis ('1mo', '3mo', '6mo', '1y', '2y', '5y') transform: Data transformation type ("log", "boxcox", or None for no transformation)

Returns: List containing text analysis and ImageContent with diagnostic plots

Generate ARIMA model forecasts with confidence intervals and validation.

Provides:

• Multi-period forecasting with confidence bands

• Model validation and quality checks

• Visual forecast charts with historical data

• Performance metrics and accuracy indicators

• Error handling with fallback strategies

Args: ticker: Stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') periods: Number of periods to forecast (default: 20 trading days) confidence: Confidence interval level (0.8-0.99, default: 0.95) p: AR order (None for auto-selection) d: Differencing order (default 1 for stock prices) q: MA order (None for auto-selection) auto_select: Use pmdarima auto_arima for parameter selection (True) or manual (False) lags: Number of lags for analysis (default 40, used for fallback ACF/PACF) period: Time period for training data ('1mo', '3mo', '6mo', '1y', '2y', '5y') transform: Data transformation type ("log", "boxcox", or None for no transformation)

Returns: List containing text analysis and ImageContent with forecast plot

Train Prophet model and generate forecasts with confidence intervals.

Provides:

• Automatic seasonality detection (yearly, weekly patterns)

• Trend changepoint identification

• Holiday effects support (Indian market holidays)

• Component decomposition (trend + seasonality)

• Multi-period forecasting with confidence bands

• Model validation and quality checks

• Visual forecast charts with historical data

Args: ticker: Stock ticker symbol (e.g., 'RELIANCE', 'TCS', 'INFY') periods: Number of periods to forecast (default: 20 trading days) confidence: Confidence interval level (0.8-0.99, default: 0.95) period: Time period for training data ('1mo', '3mo', '6mo', '1y', '2y', '5y') yearly_seasonality: Enable yearly seasonality (default True) weekly_seasonality: Enable weekly seasonality (default True) seasonality_mode: 'additive' or 'multiplicative' (default 'additive') changepoint_prior_scale: Flexibility of trend changes (default 0.05) seasonality_prior_scale: Flexibility of seasonality (default 10.0) holidays_prior_scale: Flexibility of holiday effects (default 10.0) validation_split: Train-validation split ratio (default 0.2) include_holidays: Include Indian market holidays (default False)

Returns: List containing text analysis and ImageContent with forecast plot