Finance Libraries

36 Components & Libraries

Sortby

Finance Libraries

Data Apps & Dashboards for Python. No JavaScript Required.

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. Scale up with Dash Enterprise when your Dash app is ready for d…

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Recent released features Features released before 2021 are not listed here. Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, …

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Lean Engine is an open-source algorithmic trading engine built for easy strategy research, backtesting and live trading. We integrate with common data providers and brokerages so you can quickly depl…

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

RQAlpha 从数据获取、算法交易、回测引擎，实盘模拟，实盘交易到数据分析，为程序化交易者提供了全套解决方案。 RQAlpha 具有灵活的配置方式，强大的扩展性，用户可以非常容易地定制专属于自己的程序化交易系统。 RQAlpha 提供了极具拓展性的 Mod Hook 接口，这意味着开发者可以非常容易的对接第三方库。您可以通过如下方式使用安装和使用Mod: 以下是目前已经集成的 Mod 列表…

Portfolio analytics for quants, written in Python

QuantStats: Portfolio analytics for quants ========================================== Here's an example of a simple tear sheet analyzing a strategy: Output: Output: You can create 7 different report …

A python wrapper for Alpha Vantage API for financial data.

To install the package use: Or install with pandas support, simply install pandas too: If you want to install from source, then use: Internally there is a retries counter, that can be used to minimiz…

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

This repo is public facing and exists for the sole purpose of providing users with an easy way to raise bugs, feature requests, and other issues. MlFinlab python library is a perfect toolbox that eve…

QTPyLib, Pythonic Algorithmic Trading

I developed QTPyLib because I wanted for a simple, yet powerful, trading library that will let me focus on the trading logic itself and ignore everything else. There are 5 main components to QTPyLib…

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

This project provides This repo is maintained by me :-) Thanks In the pull request you should Thanks. In the pull request you should Please note that your app should not require high compute power as…

Using python and scikit-learn to make stock predictions

While I would not live trade based off of the predictions from this exact code, I do believe that you can use this project as starting point for a profitable trading system – I have actually used cod…

Algorithmic Trading in Python with Machine Learning

With PyBroker, you'll have all the tools you need to create winning trading strategies backed by data and machine learning. Start using PyBroker today and take your trading to the next level! Or you …

Download all companies periodic reports, filings and forms from EDGAR database.

Getting filings of various companies at once is really a pain, but SEC-Edgar does that for you. You can download all of a company’s periodic reports, filings and forms from the EDGAR database with a …

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

Use any of the following services. On Linux, unless you know what you are doing, you should use your system's packaging system. For example, on Debian or Ubuntu, type: Installing Anaconda, should ins…

Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

A Python library for mathematical finance

A Python library for mathematical finance. QFin is being reconstructed to leverage more principals of object-oriented programming. Several modules in this version are deprecated along with the solut…

Machine learning models for time series analysis

A collection of different Machine Learning models predicting the time series, concretely the market price for given the currency chart and target. Tested with python versions: 2.7.14, 3.6.0. By defau…

A Python library for mathematical finance

A Python library for mathematical finance. Theoretical options pricing for non-dividend paying stocks is available via the BlackScholesCall and BlackScholesPut classes. First-order and some second-or…

The only open-source toolkit that can download EDGAR financial reports and extract textual data from specific item sections into nice and clean JSON files.

Tired of sifting through endless financial reports of 100+ pages, struggling to extract meaningful insights? 📚 Academics: Enhance your NLP research in economics & finance or business management b…

Investment portfolio and stocks analyzing tools for Python with free historical data

...entities should not be multiplied without necessity -- William of Ockham (c. 1287–1347) For many countries (China, USA, United Kingdom, European Union, Russia, Israel etc.): Get the main parameter…

Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.

Profitable stocks and crypto trading involves a lot of know how and experience in Technical Analysis. However, the fundamentals behind technical analysis techniques, tools, resources and effective st…

A blog for data analytics using data science technologies

MIT License Anyone may contribute to our project. Submit a pull request or raise an issue.

A fully automated Forex trading bot utilizing the OANDA API.

That's what inspired me to make this bot, and to expose to the public how really anyone this day and age can jump headfirst into the algorithmic trading world. Before downloading and using this bot, …

Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)

I am working on command line argument version where you will be able to download selected stocks with this snippet too. This script can run on multiple Operating Systems. Follow the instructions ment…

Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning

Here you find my IPython (Jupyter) notebooks from my blog (ipythonquant.wordpress.org). Feel free to download the samples and play around with them.

The unofficial Python API client library for TD Ameritrade. This library allows for easy access of the Standard REST API and Streaming API.

The unofficial Python API client library for TD Ameritrade allows individuals with TD Ameritrade accounts to manage trades, pull historical and real-time data, manage their accounts, create and modif…

An Opinionated AlphaVantage API Wrapper in Python 3.9. Compatible with Pandas TA (pip install pandas_ta). Get your FREE API Key at https://www.alphavantage.co/support/

Contributions are welcome and I am open to new ideas or implementations. Thank you! This is the Object/Class way. Instantiate a Class with predefined parameters and then make calls. Since 'av' is an …

Algorithmic trading using machine learning.

This machine learning algorithm was built using Python 3 and scikit-learn with a Decision Tree Classifier. The program gathers stock data using the Google Finance API and pandas. The data is illustra…

Related tags

geoserver-rest-python