Class responsible for constructing the HXL Investment and HXL Profitability factors (Hou et. al, 2015).
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Updated
Dec 13, 2018 - Python
Class responsible for constructing the HXL Investment and HXL Profitability factors (Hou et. al, 2015).
Jupyter notebook for the Kaggle task "Company Bankruptcy Prediction" - all relevant info and code are contained in the notebook
Amortizer is a simple amortization table generator which supports two common approaches: annuity payments and straight amortization.
ISIN code to Price
Valuation of Apple Inc. stock by means of the dividend discount model (DDM) and discounted free cash flow (DCF) valuation methods.
This repository includes a study that aims to create random paths in a sample financial dataset.
Scripts for collecting useful financial data using scrapy
Script Python que exibe cotações de ações com seus respectivos gráficos e exporta os dados para o Excel.
2022년 1학기 금융시장빅데이터분석 강의자료 및 jupyter notebook 실습 파일
This repository develops my Python function that scrapes key stock information from Yahoo Finance necessary for a 1-year investment strategy. The result is a dataset with 10 columns, including the target variable. The function, which utilizes the `yfinance` Python library, can be used to collect more data for analysis and prediction.
Obtains investment fund's data from CVM
Javascript SDK for accessing the SBanken API
Ensamble Voting for Financial Time Series
Wealth Management fo Wells Fargo
Finanx is a crawler that get financial data on the internet
An ipynb file containing data acquisition of futures, options and other financial derivatives
Documentation website for Quick Fin, a Python module providing instant access to live and historical stock market price data, automated Plotly data visualization generators and data catalog for referencing equities, stock symbols, sector, and industry information.
crypto aggregator of order books, trades, liquidations, open interest by levels
Putting [A]NODEs ([Augmented] Neural ODEs) to work, for Time Series prediction and simulation
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