197 Open source projects that are alternatives of or similar to Ft

modular quant framework.

A list of online resources for quantitative modeling, trading, portfolio management

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

Algorithmic trading strategies

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

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

Quantitative analysis, strategies and backtests

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

Application of machine learning to the Coinbase (GDAX) orderbook

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

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

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

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

Java 实盘量化框架

Quantitative systematic trading strategy development and backtesting in Julia

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.

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

C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.

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

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

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

Quantitative Interview Preparation Guide, updated version here ==>

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

No description or website provided.

A GitHub repo for Quant Finance resources

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

Backtest and live trading in Python

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

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

A multi-asset, multi-strategy, event-driven trade execution and management platform for running many algorithms/bots at many venues simultaneously with unified risk management and reporting. Uses MongoDB for storage and Telegram for user notifications/trade consent.

This repository contains the customized trading algorithms that I have created using the Quantopian IDE.

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

Vectorized backtester and trading engine for QuantRocket

基金投资管理回测引擎

Master repository for the pandas-ml modules

Open source analytics and market risk library from OpenGamma

Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges

A framework for systemic risk valuation and analysis.

Courses, Articles and many more which can help beginners or professionals.

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

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

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

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

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

quant framework for stock

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

Determine optimal rebalancing of a passive stock portfolio.

List of awesome resources for machine learning-based algorithmic trading

Backtesting for sleepless cryptocurrency markets

Unofficial alternative launcher for QuantConnect's LEAN allowing for parallel execution and looping/batching with customizable parameters and ranges.

Introducing neural networks to predict stock prices

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

fastquant — Backtest and optimize your trading strategies with only 3 lines of code!

Python driver for MarketStore

Use unsupervised and supervised learning to predict stocks

中泰证券xtp java api for win\linux\mac

🔬 A curated list of awesome machine learning strategies & tools in financial market.

Technical Indicators implemented in Python using Pandas

Using python and scikit-learn to make stock predictions