technicalIndicators_bbands
Calculate Bollinger Bands to analyze stock price volatility and identify potential overbought or oversold conditions using Alpha Vantage financial data.
Instructions
Bollinger Bands (BBANDS)
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"symbol": "<symbol>",
"interval": "<interval>",
"time_period": "<time_period>",
"series_type": "<series_type>"
},
"name": "technicalIndicators_bbands"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | The stock symbol (e.g., "IBM"). | |
| interval | Yes | Time interval (e.g., "daily", "60min", "weekly"). Check Alpha Vantage docs for valid intervals per indicator. | |
| datatype | No | Data format for the response. | json |
| month | No | Specific month for intraday intervals (YYYY-MM format). | |
| time_period | Yes | Number of data points used to calculate the indicator. | |
| series_type | Yes | The desired price type. |
Implementation Reference
- src/index.ts:1457-1471 (registration)Registers the "technicalIndicators_bbands" MCP tool, providing name, description, input schema, and execute handler that delegates to the shared executeAvantageTool helper.
server.addTool({ name: "technicalIndicators_bbands", description: "Bollinger Bands (BBANDS)", parameters: schemas.TechnicalIndicatorsTimeSeriesIndicatorParamsSchema, // Needs more params? Check AV docs execute: ( args, context // Let type be inferred ) => executeAvantageTool( "technicalIndicators_bbands", args, context, (av, params) => av.technicalIndicators.bbands(params) ), }); - src/schemas.ts:212-215 (schema)Zod schema defining input parameters for the BBANDS tool and similar time series technical indicators. Extends common params (symbol, interval, etc.) with time_period and series_type.
export const TechnicalIndicatorsTimeSeriesIndicatorParamsSchema = TechnicalIndicatorsCommonIndicatorParamsSchema.extend({ time_period: z.string().describe('Number of data points used to calculate the indicator.'), // Using string as AV API expects string series_type: SeriesTypeSchema, }).describe('Parameters for time series based technical indicators.') - src/index.ts:38-115 (helper)Shared helper function implementing the core tool execution logic: resolves API key, manages AVantage client lifecycle, invokes the specific library method (av.technicalIndicators.bbands(params) for this tool), handles errors, and returns JSON response.
async function executeAvantageTool<TArgs, TResult>( toolName: string, args: TArgs, context: Context<Record<string, unknown> | undefined>, // Use the imported Context type directly avantageMethod: ( av: AVantage, args: TArgs ) => Promise<{ error?: boolean; reason?: string; data?: TResult }> ): Promise<string> { logger.info(`Executing '${toolName}' tool for request ID: ${context}`); logger.debug(`Args for ${toolName}: ${JSON.stringify(args)}`); // --- Authentication & Resource Management --- // Access extraArgs safely - it might be null or undefined const extraArgsApiKey = context.extraArgs?.apiKey as string | undefined; const apiKey = extraArgsApiKey || config.apiKey; if (!apiKey) { logger.error(`'${toolName}' failed: Alpha Vantage API key missing.`); throw new UserError(apiKeyErrorMessage); } logger.debug( `Using AV API key (source: ${extraArgsApiKey ? "extraArgs" : "environment"}) for ${toolName}` ); try { // Get or create AVantage instance managed by ResourceManager const av = await resourceManager.getResource<AVantage>( apiKey, // Cache key is the resolved API key "avantage_client", // Type identifier for logging async (key) => { // Factory Function logger.info( `Creating new AVantage instance for key ending ...${key.slice(-4)}` ); // AVantage library reads AV_PREMIUM from process.env internally return new AVantage(key); }, async (avInstance) => { // Cleanup Function (no-op needed for AVantage) logger.debug(`Destroying AVantage instance (no-op)`); } ); // --- Library Call --- const result = await avantageMethod(av, args); // --- Response Handling --- if (result.error) { logger.warn( `'${toolName}' failed. Reason from avantage: ${result.reason}` ); throw new UserError(result.reason || `Tool '${toolName}' failed.`); } if (result.data === undefined || result.data === null) { logger.warn(`'${toolName}' completed successfully but returned no data.`); return "null"; // Return string "null" for empty data } logger.info(`'${toolName}' completed successfully.`); // Stringify the data part of the response return JSON.stringify(result.data); } catch (error: any) { logger.error( `Error during execution of '${toolName}': ${error.message}`, error ); // If it's already a UserError, rethrow it if (error instanceof UserError) { throw error; } // Otherwise, wrap it in a UserError throw new UserError( `An unexpected error occurred while executing tool '${toolName}': ${error.message}` ); } } - src/index.ts:1461-1470 (handler)The specific handler function passed to server.addTool.execute for this tool, which invokes the generic executeAvantageTool with the appropriate tool name and library callback.
execute: ( args, context // Let type be inferred ) => executeAvantageTool( "technicalIndicators_bbands", args, context, (av, params) => av.technicalIndicators.bbands(params) ),