1359 Open source projects that are alternatives of or similar to Presentations

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

Introducing neural networks to predict stock prices

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

DeltaPy - Tabular Data Augmentation (by @firmai)

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Quantitative finance research tools in Python

The idiomatic rust implementation of the QuantLib C++ quantitative finance library

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Talks & Workshops by the CODAIT team

A Portfolio of my Data Science Projects

This repository provides everything you need to get started with Python for (social science) research.

A web application to explore currently hyped stocks on Reddit

Python client for Finnhub API

Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.

No description or website provided.

A financial trading method using machine learning.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

🤖 Predict the stock market with AI 用AI预测股票市场

Python wrapper for TA-Lib (http://ta-lib.org/).

Open source analytics and market risk library from OpenGamma

Python training for business analysts and traders

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

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Algorithmic trading strategies

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.

High-performance TensorFlow library for quantitative finance.

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

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

QLNet C# Library

A GitHub repo for Quant Finance resources

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

The foundational library of the Morpheus data science framework

⚠️ Deprecrated in favor of https://github.com/piquette/finance-go

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

Notebooks based on financial machine learning.

A blog for data analytics using data science technologies

Determine optimal rebalancing of a passive stock portfolio.

Using python and scikit-learn to make stock predictions

Quantitative Finance tools

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

Quantitative systematic trading strategy development and backtesting in Julia

Financial Web Scraper & Sentiment Classifier

The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.

Android library to draw beautiful and rich line charts.

Quantitative Interview Preparation Guide, updated version here ==>

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

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

Quantitative Analysis Research see more at https://teddykoker.com

A curated list of practical financial machine learning tools and applications.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity