--- title: prom description: 'This page provides a detailed explanation of two important functions in FINRA ATS data analysis offered by our tool: ''prom'' and ''Chart''. ''prom'' fetches and processes the most promising stocks based on linear regression while ''Chart'' aids in visualizing the dark pool data for improving trading decisions.' keywords: - FINRA ATS data - Trading tool - Linear regression - Dark pool data - Dark pool trades activity - Stocks analysis - Data visualization - Promising stocks --- import HeadTitle from '@site/src/components/General/HeadTitle.tsx'; import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; Get all FINRA ATS data, and parse most promising tickers based on linear regression Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/stocks/dark_pool_shorts/finra_model.py#L214)] ```python openbb.stocks.dps.prom(limit: int = 1000, tier_ats: str = "T1") ``` --- ## Parameters | Name | Type | Description | Default | Optional | | ---- | ---- | ----------- | ------- | -------- | | limit | int | Number of tickers to filter from entire ATS data based on the sum of the total weekly shares quantity | 1000 | True | | tier_ats | int | Tier to process data from: T1, T2 or OTCE | T1 | True | --- ## Returns | Type | Description | | ---- | ----------- | | Tuple[pd.DataFrame, Dict] | Dark Pools (ATS) Data, Tickers from Dark Pools with better regression slope | --- Display dark pool (ATS) data of tickers with growing trades activity. [Source: FINRA] Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/stocks/dark_pool_shorts/finra_view.py#L188)] ```python openbb.stocks.dps.prom_chart(input_limit: int = 1000, limit: int = 10, tier: str = "T1", export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None) ``` --- ## Parameters | Name | Type | Description | Default | Optional | | ---- | ---- | ----------- | ------- | -------- | | input_limit | int | Number of tickers to filter from entire ATS data based on
the sum of the total weekly shares quantity | 1000 | True | | limit | int | Number of tickers to display from most promising with
better linear regression slope | 10 | True | | tier | str | Tier to process data from: T1, T2 or OTCE | T1 | True | | export | str | Export dataframe data to csv,json,xlsx file | | True | | external_axes | Optional[List[plt.Axes]] | External axes (1 axis is expected in the list), by default None | None | True | --- ## Returns This function does not return anything ---