overlap
Calculate technical indicators like moving averages, Bollinger Bands, and Keltner Channels directly from price data. Specify tickers and indicator to get results automatically.
Instructions
Overlap technical indicators (SMA, EMA, Bollinger Bands, Keltner Channels). Applied to price data automatically — no need to fetch prices first. Requires tickers='AAPL' — use comma-separated values for multiple tickers.
Available indicators: get_moving_average, get_exponential_moving_average, get_double_exponential_moving_average, get_trix, get_triangular_moving_average, get_weighted_moving_average, get_hull_moving_average, get_kaufman_adaptive_moving_average, get_volume_weighted_average_price, get_parabolic_sar, get_pivot_points, get_fibonacci_retracement_levels, get_support_resistance_levels.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lag | No | Number of periods to lag when computing growth rates. | |
| trend | No | Value for trend. | uptrend |
| af_max | No | Value for af_max. | |
| growth | No | Return period-over-period growth rates instead of absolute values. | |
| levels | No | Value for levels. | |
| period | No | Observation frequency, e.g. 'monthly', 'quarterly', or 'annual'. | daily |
| window | No | Value for window. Leave unset to use the default of the indicator you selected. Defaults differ between indicators. | |
| tickers | No | Comma-separated ticker symbols, e.g. 'AAPL,MSFT,GOOGL'. | |
| af_start | No | Value for af_start. | |
| end_date | No | End of the date range in YYYY-MM-DD format. | 2026-08-19 |
| indicator | Yes | Name of the specific metric to calculate, e.g. 'get_asset_turnover_ratio'. Required — omitting it returns the list of available indicators. | |
| quarterly | No | Return quarterly data instead of annual when True. | |
| start_date | No | Start of the date range in YYYY-MM-DD format. | 2021-08-20 |
| fast_window | No | Value for fast_window. | |
| sensitivity | No | Value for sensitivity. | |
| slow_window | No | Value for slow_window. | |
| standardize | No | Return the Z-Score (standard score) instead of the raw values, i.e. how many standard deviations each value is from the mean of its own series. When combined with growth=True, the growth values are standardized instead of the raw values. | |
| af_increment | No | Value for af_increment. | |
| close_column | No | Value for close_column. | Adj Close |
| show_columns | No | Comma-separated names to filter the output. For historical data use the key names visible in any response record (e.g. 'Close,Volume,Return'). For financial statements use the 'metric' field values from the response (e.g. 'Revenue,Net Income,EBITDA'). Call the tool once without this parameter to see all available names, then repeat with show_columns to reduce response size and token usage. | |
| benchmark_ticker | No | Ticker used as the market benchmark, e.g. 'SPY' or '^GSPC'. | SPY |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |