Invest Libraries

17 Components & Libraries

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Invest Libraries

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

A JavaScript / Python / PHP / C# library for cryptocurrency trading and e-commerce with support for many bitcoin/ether/altcoin exchange markets and merchant APIs. Current feature list: The CCXT libr…

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, …

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…

🚀 💸 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…

SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Framework to capture the dynamics of high-frequency limit order books. In this project I used machine learning methods to capture the high-frequency limit order book dynamics and simple trading strat…

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 …

Uscrapper 2.0, a powerful OSINT webscraper for personal data collection. Uscrapper uses web scraping to extract email IDs, social-media links, geolocations, phone numbers, and usernames from webpages, supports multithreading, has advanced Anti-webscraping bypassing modules, supports webcrawling to scrape from various sublinks within the same domain

Uscrapper extracts the following details from the provided website: Uscrapper 2.0: To run Uscrapper, use the following command-line syntax: Uscrapper relies on web scraping techniques to extract i…

Imago is a python tool that extract digital evidences from images.

Imago is a python tool that extract digital evidences from images recursively. This tool is useful throughout a digital forensic investigation. If you need to extract digital evidences and you have …

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…

A Python library and command line tools to provide interactive log visualization.

A Python library and command line tools to provide log visualization. When you view these plots you will need JavaScript turned on. The plots are interactive and you can select borders around the pi…

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…

WhatMail is a command-line tool that analyzes the header of an email and provides detailed information about various fields.

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.

Rewriting the code in "Machine Learning for Factor Investing" in Python

Rewriting the code in "Machine Learning for Factor Investing" by Guillaume Coqueret and Tony Guida in Python purely for my own learning and practice.

Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.

Use Python to scrape data and join with financial data from Yahoo Finance (or another finance) API. Use data manipulation and visualization for financial and investment analysis (i.e. compare rates o…

Python programs & tools built in the Ethical Hacking with Python EBook

More Python programs will be added to this repository as the book will be constantly improved and enriched. The tools and scripts are:

A simple Python API for Investopedia's stock simulator games. This programmatically logs into Investopedia and can retrieve portfolio summary, get stock quotes & option chain lookups, execute trades - buy & sell shares, puts, calls, sell short, etc.

A simple Python API for Investopedia's stock simulator games. Currently you can: Todo: Simply pass a dict to InvetopediaAPI constructor with a username and password. Python 3.6.7. I just use a virtu…

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