6582 Open source projects that are alternatives of or similar to Sgx Full Orderbook Tick Data Trading Strategy

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

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

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

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

modular quant framework.

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

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

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

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🔎 📈 🐍 💰 Backtest trading strategies in Python.

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

An API for backtesting trading strategies in JavaScript and TypeScript.

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.

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

No description or website provided.

Ultimate Python library for time series analysis and backtesting at scale

Backtest and live trading in Python

An advanced crypto trading bot written in Python

Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks

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

Notebooks based on financial machine learning.

Algorithmic trading strategies

API for algorithmic and high-frequency trading

Java/MySQL live algorithmic trading using Interactive Brokers API

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.

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

A Comprehensive Collection of Everything Related to Tradingview Pine Script.

Quantitative systematic trading strategy development and backtesting in Julia

🚀 Websocket based trading bot for 💰cryptocurrencies 📈

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

Portfolio analytics for quants, written in Python

Machine Learning in Asset Management (by @firmai)

Application of machine learning to the Coinbase (GDAX) orderbook

Simple BitMEX trading robot.

Quantitative Interview Preparation Guide, updated version here ==>

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

Stock for Deep Learning and Machine Learning

Introducing neural networks to predict stock prices

Asynchronous, event-driven algorithmic trading in Python and C++

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

A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.

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.

基于Python的开源量化交易平台开发框架

A stream-based approach to algorithmic trading and backtesting in Node.js

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

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

How to use the Roq C++20 API for Live Cryptocurrency Algorithmic and High-Frequency Trading as well as for Back-Testing and Historical Simulation

Java开源量化交易开发框架

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.

Quantitative analysis, strategies and backtests

Open Source algorithmic trading platform in Java / Python

💹 openAlgo is a public repository for various work product relavant to algorithms and the high frequency low latency electronic trading space with a bias toward market microstructure as well as exchange traded futures and options.

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

convenient script for trading with python.

Algo trade project in python

Isn't that what we all want? Our money to go many? Well that's what this framework/strategy hopes to do for you! By giving you & HyperOpt a lot of signals to alter the weights from.

Expert advisors, scripts, indicators and code libraries for Metatrader.

A financial trading method using machine learning.