tradingcomdados 1.2.1

tradingcomdados

tradingcomdados

Introduction

Trading com Dados Library for quantitative finance

The library consists of a collection of methods that can be used in order to help Data Scientists, Quantitative Analysts and data professionals during the development of quantitative finance applications. One of the main objectives of the library is to provide methods to connect to Trading com dados' data provider services.

Library Motivation and Description

Trading com dados is an Edtech that provides educational content for people who want to know quantitative finance and in order to obtain that knowlegde, we need quality data, thus this library and our API service was created to solve that.

API methods

-> get_data

-> get_data_tickers

How to install

pip install tradingcomdados

Importing and fetching data

import tradingcomdados as tcd

# Fetching data
tcd.get_data('PETR4', start = '01/01/2019')

Machine Learning

This library has a few machine learning models that you can use in your daily activities.

With our lib, you can easily implement machine learning models to your daily activities in the financial market.

from tradingcomdados import unsupervised_learning as ul

ul.clustering_pipeline()

Alternative Data

You can obtain alternative data from the Brazilian Market using this library

from tradingcomdados import alternative_data as ad

ad.ibov_composition()