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Best Execution Analytics for Smarter Trading (BEAST) client library for Python

Project description

FactSet

Best Execution Analytics for Smarter Trading (BEAST) client library for Python

API Version PyPi Apache-2 license

Enables clients to programmatically access the underlying data which powers the BEAST Liquidity Analytics (LA) and Transaction Cost Analysis (TCA) applications.

This Python package is automatically generated by the OpenAPI Generator project:

  • API version: 3.0.0
  • SDK version: 0.3.0
  • Build package: org.openapitools.codegen.languages.PythonClientCodegen

For more information, please visit https://developer.factset.com/contact

Requirements

  • Python >= 3.7

Installation

Poetry

poetry add fds.sdk.utils fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST==0.3.0

pip

pip install fds.sdk.utils fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST==0.3.0

Usage

  1. Generate authentication credentials.
  2. Setup Python environment.
    1. Install and activate python 3.7+. If you're using pyenv:

      pyenv install 3.9.7
      pyenv shell 3.9.7
      
    2. (optional) Install poetry.

  3. Install dependencies.
  4. Run the following:

[!IMPORTANT] The parameter variables defined below are just examples and may potentially contain non valid values. Please replace them with valid values.

Example Code

from fds.sdk.utils.authentication import ConfidentialClient

import fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST
from fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.api import liquidity_analytics_api
from fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.models import *
from dateutil.parser import parse as dateutil_parser
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.

# Examples for each supported authentication method are below,
# choose one that satisfies your use case.

# (Preferred) OAuth 2.0: FactSetOAuth2
# See https://github.com/FactSet/enterprise-sdk#oauth-20
# for information on how to create the app-config.json file
#
# The confidential client instance should be reused in production environments.
# See https://github.com/FactSet/enterprise-sdk-utils-python#authentication
# for more information on using the ConfidentialClient class
configuration = fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.Configuration(
    fds_oauth_client=ConfidentialClient('/path/to/app-config.json')
)

# Basic authentication: FactSetApiKey
# See https://github.com/FactSet/enterprise-sdk#api-key
# for information how to create an API key
# configuration = fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.Configuration(
#     username='USERNAME-SERIAL',
#     password='API-KEY'
# )

# Enter a context with an instance of the API client
with fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = liquidity_analytics_api.LiquidityAnalyticsApi(api_client)
    security_ids = ["FDS-US","AAPL-US","MX-CA"] # [str] | ISIN for European securities, otherwise TICKER
    start_date = dateutil_parser('2024-08-21').date() # date | Date in the format YYYY-MM-DD
    end_date = dateutil_parser('2024-08-29').date() # date | Date in the format YYYY-MM-DD

    try:
        # Get Liquidity Analytics
        # example passing only required values which don't have defaults set
        api_response = api_instance.get_liquidity_analytics(security_ids, start_date, end_date)

        pprint(api_response)
    except fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.ApiException as e:
        print("Exception when calling LiquidityAnalyticsApi->get_liquidity_analytics: %s\n" % e)

    # # Get response, http status code and response headers
    # try:
    #     # Get Liquidity Analytics
    #     api_response, http_status_code, response_headers = api_instance.get_liquidity_analytics_with_http_info(security_ids, start_date, end_date)


    #     pprint(api_response)
    #     pprint(http_status_code)
    #     pprint(response_headers)
    # except fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.ApiException as e:
    #     print("Exception when calling LiquidityAnalyticsApi->get_liquidity_analytics: %s\n" % e)

    # # Get response asynchronous
    # try:
    #     # Get Liquidity Analytics
    #     async_result = api_instance.get_liquidity_analytics_async(security_ids, start_date, end_date)
    #     api_response = async_result.get()


    #     pprint(api_response)
    # except fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.ApiException as e:
    #     print("Exception when calling LiquidityAnalyticsApi->get_liquidity_analytics: %s\n" % e)

    # # Get response, http status code and response headers asynchronous
    # try:
    #     # Get Liquidity Analytics
    #     async_result = api_instance.get_liquidity_analytics_with_http_info_async(security_ids, start_date, end_date)
    #     api_response, http_status_code, response_headers = async_result.get()


    #     pprint(api_response)
    #     pprint(http_status_code)
    #     pprint(response_headers)
    # except fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.ApiException as e:
    #     print("Exception when calling LiquidityAnalyticsApi->get_liquidity_analytics: %s\n" % e)

Using Pandas

To convert an API response to a Pandas DataFrame, it is necessary to transform it first to a dictionary.

import pandas as pd

response_dict = api_response.to_dict()['data']

simple_json_response = pd.DataFrame(response_dict)
nested_json_response = pd.json_normalize(response_dict)

Debugging

The SDK uses the standard library logging module.

Setting debug to True on an instance of the Configuration class sets the log-level of related packages to DEBUG and enables additional logging in Pythons HTTP Client.

Note: This prints out sensitive information (e.g. the full request and response). Use with care.

import logging
import fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST

logging.basicConfig(level=logging.DEBUG)

configuration = fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.Configuration(...)
configuration.debug = True

Configure a Proxy

You can pass proxy settings to the Configuration class:

  • proxy: The URL of the proxy to use.
  • proxy_headers: a dictionary to pass additional headers to the proxy (e.g. Proxy-Authorization).
import fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST

configuration = fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.Configuration(
    # ...
    proxy="http://secret:password@localhost:5050",
    proxy_headers={
        "Custom-Proxy-Header": "Custom-Proxy-Header-Value"
    }
)

Custom SSL Certificate

TLS/SSL certificate verification can be configured with the following Configuration parameters:

  • ssl_ca_cert: a path to the certificate to use for verification in PEM format.
  • verify_ssl: setting this to False disables the verification of certificates. Disabling the verification is not recommended, but it might be useful during local development or testing.
import fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST

configuration = fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.Configuration(
    # ...
    ssl_ca_cert='/path/to/ca.pem'
)

Request Retries

In case the request retry behaviour should be customized, it is possible to pass a urllib3.Retry object to the retry property of the Configuration.

from urllib3 import Retry
import fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST

configuration = fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.Configuration(
    # ...
)

configuration.retries = Retry(total=3, status_forcelist=[500, 502, 503, 504])

Documentation for API Endpoints

All URIs are relative to https://api.factset.com/analytics/beast/v3

Class Method HTTP request Description
LiquidityAnalyticsApi get_liquidity_analytics GET /tca/liquidity/liquidity-analytics Get Liquidity Analytics
LiquidityAnalyticsApi get_liquidity_quotes GET /tca/liquidity/quotes Get Liquidity Quotes
LiquidityAnalyticsApi get_liquidity_trades GET /tca/liquidity/trades Get Liquidity Trades
LiquidityAnalyticsApi get_liquidity_volume_analytics GET /tca/liquidity/volume-analytics Get Liquidity Volume Analytics
MarketImpactApi get_cost_impact_v3 GET /tca/market-impact/cost-impact Get Cost Impact
OrderDetailsApi get_order_fill_count GET /tca/order/fill-count Get Order Fill Count
OrderDetailsApi get_order_index_etf GET /tca/order/index-etf Get Index ETF data
OrderDetailsApi get_order_info GET /tca/order/order-info Get Order Information
OrderDetailsApi get_order_intra_stats GET /tca/order/intra-order-stats Get Intra Order Stats
OrderDetailsApi get_order_investment_timing GET /tca/order/investment-timing Get Order Investment Timings
OrderDetailsApi get_order_price_time_fills GET /tca/order/price-time-fills Get Price Time Fills
OrderDetailsApi get_order_price_time_quotes GET /tca/order/price-time-quotes Get Price Time Quotes
OrderDetailsApi get_order_price_time_trades GET /tca/order/price-time-trades Get Price Time Trades
OrderDetailsApi get_order_volume_price GET /tca/order/volume-price Get Order Volume Prices
OrderDetailsApi get_order_volume_time GET /tca/order/volume-time Get Order Volume Times
OrderDetailsApi get_order_volume_venue GET /tca/order/volume-venue Get Order Volume Venues
OrderSearchApi get_field_values GET /tca/search/field-values Get Order field values
OrderSearchApi get_orders GET /tca/search/orders Get Orders by field values
OutliersApi get_outlier_metrics_by_percentile GET /tca/outlier/metrics-by-percentile Get Outlier Metrics by percentile
OutliersApi get_outlier_metrics_standard GET /tca/outlier/metrics-standard Get Outlier Metrics by standard deviation
ReportsApi get_parent_aggregate_analysis GET /tca/report/parent-aggregate-analysis Get Parent Aggregate Analysis

Documentation For Models

Documentation For Authorization

FactSetApiKey

  • Type: HTTP basic authentication

FactSetOAuth2

  • Type: OAuth
  • Flow: application
  • Authorization URL:
  • Scopes: N/A

Notes for Large OpenAPI documents

If the OpenAPI document is large, imports in fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.apis and fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.models may fail with a RecursionError indicating the maximum recursion limit has been exceeded. In that case, there are a couple of solutions:

Solution 1: Use specific imports for apis and models like:

  • from fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.api.default_api import DefaultApi
  • from fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.model.pet import Pet

Solution 2: Before importing the package, adjust the maximum recursion limit as shown below:

import sys
sys.setrecursionlimit(1500)
import fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST
from fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.apis import *
from fds.sdk.BestExecutionAnalyticsforSmarterTradingBEAST.models import *

Contributing

Please refer to the contributing guide.

Copyright

Copyright 2025 FactSet Research Systems Inc

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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