FinanceToolkit
secref-data
FinanceToolkit | secref-data | |
---|---|---|
63 | 1 | |
2,364 | 24 | |
- | - | |
9.7 | 10.0 | |
6 days ago | over 2 years ago | |
Python | JavaScript | |
MIT License | Apache License 2.0 |
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FinanceToolkit
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Work with First, Second and Third Order Greeks Through the Finance Toolkit
Over the last year I've spend a significant amount of time creating a Finance Toolkit in Python, it currently features over 150+ different metrics such as financial ratios, models, risk and performance metrics, technical indicators, macro-economic parameters and since today also all Greeks.
The Finance Toolkit is written in Python and is meant as a free solution to acquire a large range of financial metrics. My goal is to make financial calculations accessible to everyone as there is no point in reinventing the wheel over and over again which I've seen countless of times happen given that I work in the Financial Sector myself.
If you are interested give it a go: https://github.com/JerBouma/FinanceToolkit and find the recent release notes here that talk about the Greeks: https://github.com/JerBouma/FinanceToolkit/releases/tag/v.1....
- Get Financial Data of 345 Companies Within 40 Seconds with the FinanceToolkit
- Factor Investing now available within the Finance Toolkit for FREE
- Making Financial Calculations Transparent and Efficient with the Finance Toolkit
- FundamentalAnalysis: NEW Data - star count:1341.0
secref-data
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I made a Finance Database with over 300.000 tickers to make Investment Decisions easier
The tickers itself are relatively easy to obtain which is the main reason I use them. However, I am aware that in due time other identifiers can be very beneficial. I am keeping my eyes on https://github.com/finos/secref-data which is going to offer exactly that, the ability to match ISIN, CIK, FIGI etc to the same company.
What are some alternatives?
FinanceDatabase - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
yfinance - Download market data from Yahoo! Finance's API
AlgorithmicTrading - This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
fundamental-analysis - Screen stocks on fundamentals and estimate their intrinsic value
OpenBBTerminal - Investment Research for Everyone, Everywhere.
langchain-stock-screener - LangChain agent usable tool to screen stock data
FundamentalAnalysis - Transparent and Efficient Financial Analysis [Moved to: https://github.com/JerBouma/FinanceToolkit]
financial-machine-learning - A curated list of practical financial machine learning tools and applications.
Stock-Market-Sentiment-Analysis - Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka