768 Open source projects that are alternatives of or similar to quantlib

A GitHub repo for Quant Finance resources

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

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

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

📺 A Dashboard with the price movements of the selected Cryptocurrencies 💹

Calculate effective interest, XIRR or effective APR.

Python interface to IEX and IEX cloud APIs

QLNet C# Library

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

Introducing neural networks to predict stock prices

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

Python client for Finnhub API

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

Unofficial C++ Lib for the IEXtrading API

💹 Simple HTML Snippets to create Tickers / Charts of Cryptocurrencies with the TradingView API 💹

📈📆 Backtest trading strategies concurrently using historical chart data from various financial exchanges.

Neural Network for HFT-trading [experimental]

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

#nontina, #paperhands,, #pwnzebotz, #tradezbyguille

Quantitative Finance tools

Determine optimal rebalancing of a passive stock portfolio.

Quantitative systematic trading strategy development and backtesting in Julia

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

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

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

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

The foundational library of the Morpheus data science framework

High-performance TensorFlow library for quantitative finance.

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

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

Stock data collection and analysis

Financial Derivatives Calculator with 168+ Models (Options Calculator)

event-driven backtesting framework written in golang

Quantitative Trading Library

A financial trading method using machine learning.

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

No description or website provided.

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

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.

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

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

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

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

Notebooks based on financial machine learning.

Algorithmic trading strategies

Stock Quotes and Charts for the Terminal

Slide show presentations regarding data driven investing.

Open source analytics and market risk library from OpenGamma

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

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

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

Mathematical finance cheat sheet.

A framework for historical volatility estimation and analysis.

Black Scholes Option Pricing calculator with Greeks and implied volatility computations. Geometric Brownian Motion simulator with payoff value diagram and volatility smile plots. Java GUI.

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

Quantitative Interview Preparation Guide, updated version here ==>

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

Quantitative analysis, strategies and backtests