Stock Libraries

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Stock Libraries

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…

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…

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Blankly is an ecosystem for algotraders enabling anyone to build, monetize and scale their trading algorithms for stocks, crypto, futures or forex. The same code can be backtested, paper traded, sand…

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 …

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

You should already have pip, Python, and optionally XGBoost, LightGBM, and CatBoost installed on your system (see below). Run the following command to install AlphaPy: Pyfolio is automatically instal…

Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.

This software is for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRA…

The official Python client library for the Polygon REST and WebSocket API.

Before installing the Polygon Python client, ensure your environment has Python 3.8 or higher. While most Python environments come with setuptools installed, it is a dependency for this library. In t…

Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api

Install package Apache License

This repository contains all the data analytics projects that I've worked on in python.

This repository contains all the data analytics projects that I've worked on in python. Extract the ZIP and open it. Unfortunately I don't have any more specific instructions because how exactly this…

Daily Stock Forecasts using Machine Learning & Python

Daily Stock Forecasts optimizes and ranks machine learning models to predict the intraday movement of the stock market for the top 10 US Equities by Market Cap and a number of popular indicies. Every…

Add live stock & crypto prices to your discord sidebar.

Live stock and crypto tickers for your discord server. With these bots you can track prices of... 🍾 100 public tickers with over 15k installs across 3k discord servers! If you are interested in a tic…

Stock-Prediction-Neural-Network-and-Machine-Learning-Examples

Examples of python neural net and ML stock prediction methods with sample stock data.

Simple ML and NN methods for those looking to learn new techniques for stock prediction. These examples are meant to be easy to understand and highlight the essential components of each method. Examp…

Autonomous stocks trading script

This is an attempt to create an autonomous market trading script using the IG REST API and any other available data source for market prices. TradingBot is meant to be a "forever running" process tha…

stocks-prediction-Machine-learning-RealTime-TensorFlow

Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:

Any other kind of contact with us, please go to the ISSUES tab. The stock market is moved by technical indicators, there are several types of volatility, cycle volume, candlesticks, supports, resista…

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…

The apex of my CSE tenure at UIET Kurukshetra University in 2018, This project focuses on Zerodha, involving live online trading in the NSE-BSE with real money, utilizing Artificial Intelligence techniques. The project employs Python programming, incorporating live trading bots, indicator screeners, and back testers through REST API and websockets.

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…

Forex-and-Stock-Python-Pattern-Recognizer

A machine learning program that is able to recognize patterns inside Forex or stock data

This project represents a machine learning program that is able to recognize patterns inside Forex or stock data. In order to run the code you need to have the following libraries and programs instal…

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

Collection of Python notebooks for various machine learning, deep learning and analytics use cases Welcome to the GitHub tutorial directory of the relataly.com blog on business use cases with python …

Extract financial data from the SEC's EDGAR database

Extract financial data from the SEC's EDGAR database. The purpose of this project is to allow users to conveniently extract financial data from the SEC's EDGAR database. This library parses the finan…

Web scrapper for Shutterstock and Getty Images.

Install requirements from Terminal: Go grab a cup of coffee while waiting... oh wait, it's already done!

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…

Simple Stock Investment Recommendation System based on Machine-Learning algorithms for prediction and Twitter Sentiment Analysis.

Fist I set up the model for the forecast: Finally I apply the LinearRegression algorithm to the data set and then I plot it to see the representation of the forecast made.

Related tags

artificial-intelligence