technicalIndicators_midpoint
Calculate midpoint values for financial assets to identify average price levels over specified periods. Use this technical indicator to analyze price trends and support trading decisions.
Instructions
Midpoint over period
Input Schema
TableJSON 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:1476-1485 (handler)The execute handler function for the 'technicalIndicators_midpoint' tool. It calls the shared executeAvantageTool helper, passing the tool name and the specific AVantage library method: av.technicalIndicators.midpoint(params). This is the core logic execution point for the tool.execute: ( args, context // Let type be inferred ) => executeAvantageTool( "technicalIndicators_midpoint", args, context, (av, params) => av.technicalIndicators.midpoint(params) ),
- src/schemas.ts:212-215 (schema)Zod schema definition for the input parameters of the 'technicalIndicators_midpoint' tool. Extends common params 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:1472-1486 (registration)Registration of the 'technicalIndicators_midpoint' MCP tool on the FastMCP server instance.server.addTool({ name: "technicalIndicators_midpoint", description: "Midpoint over period", parameters: schemas.TechnicalIndicatorsTimeSeriesIndicatorParamsSchema, execute: ( args, context // Let type be inferred ) => executeAvantageTool( "technicalIndicators_midpoint", args, context, (av, params) => av.technicalIndicators.midpoint(params) ), });
- src/index.ts:38-115 (helper)Shared helper function used by all AVantage MCP tools, including 'technicalIndicators_midpoint'. Manages authentication, resource pooling of AVantage instances, executes the library method, and handles responses/errors.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}` ); } }