Analyst Search

---

Implementation details

Class names

Model name	Parameters class	Data class
AnalystSearch	AnalystSearchQueryParams	AnalystSearchData

Import Statement

from openbb_core.provider.standard_models.analyst_search import (
AnalystSearchData,
AnalystSearchQueryParams,
)

---

Parameters

• standard
• benzinga

Name	Type	Description	Default	Optional
analyst_name	Union[str, List[str]]	Analyst names to return. Omitting will return all available analysts. Multiple items allowed for provider(s): benzinga.	None	True
firm_name	Union[str, List[str]]	Firm names to return. Omitting will return all available firms. Multiple items allowed for provider(s): benzinga.	None	True

Name	Type	Description	Default	Optional
analyst_name	Union[str, List[str]]	Analyst names to return. Omitting will return all available analysts. Multiple items allowed for provider(s): benzinga.	None	True
firm_name	Union[str, List[str]]	Firm names to return. Omitting will return all available firms. Multiple items allowed for provider(s): benzinga.	None	True
analyst_ids	Union[str, List[str]]	List of analyst IDs to return. Multiple items allowed for provider(s): benzinga.	None	True
firm_ids	Union[str, List[str]]	Firm IDs to return. Multiple items allowed for provider(s): benzinga.	None	True
limit	int	Number of results returned. Limit 1000.	100	True
page	int	Page offset. For optimization, performance and technical reasons, page offsets are limited from 0 - 100000. Limit the query results by other parameters such as date.	0	True
fields	Union[str, List[str]]	Fields to include in the response. See https://docs.benzinga.io/benzinga-apis/calendar/get-ratings to learn about the available fields. Multiple items allowed for provider(s): benzinga.	None	True

---

Data

• standard
• benzinga

Name	Type	Description
last_updated	datetime	Date of the last update.
firm_name	str	Firm name of the analyst.
name_first	str	Analyst first name.
name_last	str	Analyst last name.
name_full	str	Analyst full name.

Name	Type	Description
last_updated	datetime	Date of the last update.
firm_name	str	Firm name of the analyst.
name_first	str	Analyst first name.
name_last	str	Analyst last name.
name_full	str	Analyst full name.
analyst_id	str	ID of the analyst.
firm_id	str	ID of the analyst firm.
smart_score	float	A weighted average of the total_ratings_percentile, overall_avg_return_percentile, and overall_success_rate
overall_success_rate	float	The percentage (normalized) of gain/loss ratings that resulted in a gain overall.
overall_avg_return_percentile	float	The percentile (normalized) of this analyst's overall average return per rating in comparison to other analysts' overall average returns per rating.
total_ratings_percentile	float	The percentile (normalized) of this analyst's total number of ratings in comparison to the total number of ratings published by all other analysts
total_ratings	int	Number of recommendations made by this analyst.
overall_gain_count	int	The number of ratings that have gained value since the date of recommendation
overall_loss_count	int	The number of ratings that have lost value since the date of recommendation
overall_average_return	float	The average percent (normalized) price difference per rating since the date of recommendation
overall_std_dev	float	The standard deviation in percent (normalized) price difference in the analyst's ratings since the date of recommendation
gain_count_1m	int	The number of ratings that have gained value over the last month
loss_count_1m	int	The number of ratings that have lost value over the last month
average_return_1m	float	The average percent (normalized) price difference per rating over the last month
std_dev_1m	float	The standard deviation in percent (normalized) price difference in the analyst's ratings over the last month
smart_score_1m	float	A weighted average smart score over the last month.
success_rate_1m	float	The percentage (normalized) of gain/loss ratings that resulted in a gain over the last month
gain_count_3m	int	The number of ratings that have gained value over the last 3 months
loss_count_3m	int	The number of ratings that have lost value over the last 3 months
average_return_3m	float	The average percent (normalized) price difference per rating over the last 3 months
std_dev_3m	float	The standard deviation in percent (normalized) price difference in the analyst's ratings over the last 3 months
smart_score_3m	float	A weighted average smart score over the last 3 months.
success_rate_3m	float	The percentage (normalized) of gain/loss ratings that resulted in a gain over the last 3 months
gain_count_6m	int	The number of ratings that have gained value over the last 6 months
loss_count_6m	int	The number of ratings that have lost value over the last 6 months
average_return_6m	float	The average percent (normalized) price difference per rating over the last 6 months
std_dev_6m	float	The standard deviation in percent (normalized) price difference in the analyst's ratings over the last 6 months
gain_count_9m	int	The number of ratings that have gained value over the last 9 months
loss_count_9m	int	The number of ratings that have lost value over the last 9 months
average_return_9m	float	The average percent (normalized) price difference per rating over the last 9 months
std_dev_9m	float	The standard deviation in percent (normalized) price difference in the analyst's ratings over the last 9 months
smart_score_9m	float	A weighted average smart score over the last 9 months.
success_rate_9m	float	The percentage (normalized) of gain/loss ratings that resulted in a gain over the last 9 months
gain_count_1y	int	The number of ratings that have gained value over the last 1 year
loss_count_1y	int	The number of ratings that have lost value over the last 1 year
average_return_1y	float	The average percent (normalized) price difference per rating over the last 1 year
std_dev_1y	float	The standard deviation in percent (normalized) price difference in the analyst's ratings over the last 1 year
smart_score_1y	float	A weighted average smart score over the last 1 year.
success_rate_1y	float	The percentage (normalized) of gain/loss ratings that resulted in a gain over the last 1 year
gain_count_2y	int	The number of ratings that have gained value over the last 2 years
loss_count_2y	int	The number of ratings that have lost value over the last 2 years
average_return_2y	float	The average percent (normalized) price difference per rating over the last 2 years
std_dev_2y	float	The standard deviation in percent (normalized) price difference in the analyst's ratings over the last 2 years
smart_score_2y	float	A weighted average smart score over the last 3 years.
success_rate_2y	float	The percentage (normalized) of gain/loss ratings that resulted in a gain over the last 2 years
gain_count_3y	int	The number of ratings that have gained value over the last 3 years
loss_count_3y	int	The number of ratings that have lost value over the last 3 years
average_return_3y	float	The average percent (normalized) price difference per rating over the last 3 years
std_dev_3y	float	The standard deviation in percent (normalized) price difference in the analyst's ratings over the last 3 years
smart_score_3y	float	A weighted average smart score over the last 3 years.
success_rate_3y	float	The percentage (normalized) of gain/loss ratings that resulted in a gain over the last 3 years