> ## Documentation Index > Fetch the complete documentation index at: https://docs.arrays.org/llms.txt > Use this file to discover all available pages before exploring further. # Get Technical Metrics Screener Time Range > [OpenAPI JSON Spec](/docs/output/v1_stocks_screener_technical-metrics_timerange_get.json) Retrieve stocks filtered by technical metrics over a time range. Returns stocks matching the specified metric type and value range, grouped by date. **Overview:** This endpoint filters stocks based on technical analysis metrics from the `market_metrics_1d`, `market_metrics_1w`, or `market_metrics_1m` tables over a specified time range. Results are grouped by date (YYYY-MM-DD format). **Technical Metrics:** Same as the snapshot endpoint - supports all technical metric types (PRICE_CHANGE_1W, MA_5, RSI_14, BETA, etc.) **Filtering:** - Use `range_min` to filter for stocks where the metric value is greater than or equal to the minimum - Use `range_max` to filter for stocks where the metric value is less than or equal to the maximum - Both filters can be used together to create a range - If neither filter is provided, all stocks matching the metric type will be returned **Limit Parameter:** - Use `limit` to limit the maximum number of results returned per day (optional, defaults to no limit) - This is useful for pagination or when you only need the top N results per day **Response Format:** Returns an array of date-grouped data items. Each item contains a date (YYYY-MM-DD format) and an array of stocks with their symbol, snapshot time (Unix timestamp seconds, UTC), metric type, and metric value for that date. **ETF inclusion**: Liquid ETFs (30-day average daily dollar volume ≥ $10M, ~800 ETFs) are included in results across all 36 technical metrics. ## OpenAPI ````yaml /api-reference/openapi.json get /v1/stocks/screener/technical-metrics/timerange openapi: 3.0.0 info: contact: {} description: >- Welcome to Arrays! Arrays is a unified financial data layer for both financial institutions and retail users, delivering comprehensive market data across crypto and equity markets. Our datasets cover fundamentals, ETFs, options, crypto, and more. Visit [arrays.org](https://arrays.org) to request an API key and start your free trial. You can explore our full API offerings in the documentation below. For any questions regarding APIs or pricing, please contact support@arrays.org. title: Arrays API version: '1.0' servers: - url: https://data-tools.prd.arrays.org/api security: [] paths: /v1/stocks/screener/technical-metrics/timerange: get: tags: - Stock summary: Get Technical Metrics Screener Time Range description: >- [OpenAPI JSON Spec](/docs/output/v1_stocks_screener_technical-metrics_timerange_get.json) Retrieve stocks filtered by technical metrics over a time range. Returns stocks matching the specified metric type and value range, grouped by date. **Overview:** This endpoint filters stocks based on technical analysis metrics from the `market_metrics_1d`, `market_metrics_1w`, or `market_metrics_1m` tables over a specified time range. Results are grouped by date (YYYY-MM-DD format). **Technical Metrics:** Same as the snapshot endpoint - supports all technical metric types (PRICE_CHANGE_1W, MA_5, RSI_14, BETA, etc.) **Filtering:** - Use `range_min` to filter for stocks where the metric value is greater than or equal to the minimum - Use `range_max` to filter for stocks where the metric value is less than or equal to the maximum - Both filters can be used together to create a range - If neither filter is provided, all stocks matching the metric type will be returned **Limit Parameter:** - Use `limit` to limit the maximum number of results returned per day (optional, defaults to no limit) - This is useful for pagination or when you only need the top N results per day **Response Format:** Returns an array of date-grouped data items. Each item contains a date (YYYY-MM-DD format) and an array of stocks with their symbol, snapshot time (Unix timestamp seconds, UTC), metric type, and metric value for that date. **ETF inclusion**: Liquid ETFs (30-day average daily dollar volume ≥ $10M, ~800 ETFs) are included in results across all 36 technical metrics. parameters: - description: Start time (Unix timestamp in seconds, UTC) in: query name: start_time required: true schema: type: integer - description: End time (Unix timestamp in seconds, UTC) in: query name: end_time required: true schema: type: integer - description: >- Metric type. Valid values: PRICE_CHANGE_1D, PRICE_CHANGE_1W, PRICE_CHANGE_1M, PRICE_CHANGE_3M, PRICE_CHANGE_6M, PRICE_CHANGE_YTD, PRICE_CHANGE_1Y, PRICE_CHANGE_3Y, PRICE_CHANGE_5Y, SHARES_VOLUME, DOLLAR_VOLUME, AVERAGE_DAILY_DOLLAR_VOLUME, MA_5, MA_10, MA_20, MA_60, MA_120, MA_200, EMA_5, EMA_10, EMA_20, EMA_60, EMA_120, EMA_200, RSI_14, MACD_DIF, MACD_DEA, MACD_HIST, BOLLINGER_UPPER, BOLLINGER_MID, BOLLINGER_LOWER, VWAP_DAY, BETA, VOLATILITY_20, VOLATILITY_60, VOLATILITY_90 in: query name: metric_type required: true schema: type: string - description: >- Minimum value filter (optional). Returns only stocks where metric value >= range_min in: query name: range_min schema: type: number format: float64 - description: >- Maximum value filter (optional). Returns only stocks where metric value <= range_max in: query name: range_max schema: type: number format: float64 - description: >- Sort order (optional). Valid values: ASC (ascending), DESC (descending). Defaults to DESC in: query name: order_by schema: type: string - description: Maximum number of results per day (optional, defaults to no limit) in: query name: limit schema: type: integer - description: >- Asset type filter. Valid values: stock (CS/ADRC), etf. Optional, defaults to stock. in: query name: symbol_type schema: type: string enum: - stock - etf responses: '200': description: Successfully retrieved technical metrics screener time range data content: application/json: schema: allOf: - $ref: '#/components/schemas/model.APIResponse' - properties: data: items: $ref: >- #/components/schemas/model.MetricScreenerTimeRangeDataItem type: array type: object '400': description: >- Invalid parameters (missing start_time/end_time, invalid metric_type, start_time >= end_time, etc.) content: application/json: schema: allOf: - $ref: '#/components/schemas/model.APIResponse' - properties: error: $ref: '#/components/schemas/model.APIError' type: object '500': description: Internal server error content: application/json: schema: allOf: - $ref: '#/components/schemas/model.APIResponse' - properties: error: $ref: '#/components/schemas/model.APIError' type: object security: - ApiKeyAuth: [] components: schemas: model.APIResponse: properties: data: {} error: $ref: '#/components/schemas/model.APIError' metadata: {} pagination: {} request_id: type: string success: type: boolean type: object model.MetricScreenerTimeRangeDataItem: properties: date: description: Date in ISO 8601 format (YYYY-MM-DD) example: '2024-01-01' type: string items: description: All stock data for this date items: $ref: '#/components/schemas/model.MetricScreenerTimeRangeData' type: array type: object model.APIError: properties: code: example: RESOURCE_NOT_FOUND type: string details: items: $ref: '#/components/schemas/model.APIErrorDetail' type: array docs_url: type: string examples: items: type: string type: array hint: type: string message: example: The requested resource was not found. type: string suggestions: items: type: string type: array type: object model.MetricScreenerTimeRangeData: properties: metric: description: Metric type example: PE_RATIO type: string snapshot_time: description: Snapshot time (Unix timestamp seconds, UTC) example: 1705276800 type: integer symbol: description: Stock symbol example: AAPL type: string value: description: Metric value example: 28.5 type: number type: object model.APIErrorDetail: properties: field: type: string got: type: string reason: type: string type: object securitySchemes: ApiKeyAuth: description: 'API Key authentication. Example: "your-api-key-here"' in: header name: X-API-Key type: apiKey ````