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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

2.7 KiB
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title, description, keywords
title description keywords
prom 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.
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]

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]

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