AutoTraderA Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Stars: ✭ 227 (-53.29%)
QuantdomPython-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
Stars: ✭ 449 (-7.61%)
TuringtraderThe Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.
Stars: ✭ 132 (-72.84%)
51bitquant51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading
Stars: ✭ 284 (-41.56%)
StocksharpAlgorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Stars: ✭ 4,601 (+846.71%)
MlfinlabMlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Stars: ✭ 2,676 (+450.62%)
Strategems.jlQuantitative systematic trading strategy development and backtesting in Julia
Stars: ✭ 106 (-78.19%)
QuantCodera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API
Stars: ✭ 104 (-78.6%)
DarwinexlabsDatasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Stars: ✭ 248 (-48.97%)
portfoliolabPortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
Stars: ✭ 104 (-78.6%)
Financial Machine LearningA curated list of practical financial machine learning tools and applications.
Stars: ✭ 2,172 (+346.91%)
ResearchNotebooks based on financial machine learning.
Stars: ✭ 714 (+46.91%)
AialphaUse unsupervised and supervised learning to predict stocks
Stars: ✭ 1,191 (+145.06%)
Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Stars: ✭ 356 (-26.75%)
AatAsynchronous, event-driven algorithmic trading in Python and C++
Stars: ✭ 109 (-77.57%)
trading sim📈📆 Backtest trading strategies concurrently using historical chart data from various financial exchanges.
Stars: ✭ 21 (-95.68%)
PandapyPandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Stars: ✭ 474 (-2.47%)
Socktrader🚀 Websocket based trading bot for 💰cryptocurrencies 📈
Stars: ✭ 152 (-68.72%)
Py Market ProfileA library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
Stars: ✭ 153 (-68.52%)
TaiA composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Stars: ✭ 264 (-45.68%)
Devalpha NodeA stream-based approach to algorithmic trading and backtesting in Node.js
Stars: ✭ 217 (-55.35%)
Trading BacktestA stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
Stars: ✭ 247 (-49.18%)
GrademarkAn API for backtesting trading strategies in JavaScript and TypeScript.
Stars: ✭ 140 (-71.19%)
Roq ApiAPI for algorithmic and high-frequency trading
Stars: ✭ 132 (-72.84%)
Backtesting.py🔎 📈 🐍 💰 Backtest trading strategies in Python.
Stars: ✭ 1,124 (+131.28%)
Crypto SignalGithub.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks
Stars: ✭ 3,690 (+659.26%)
Awesome StreamlitThe purpose of this project is to share knowledge on how awesome Streamlit is and can be
Stars: ✭ 769 (+58.23%)
Openalgo💹 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.
Stars: ✭ 158 (-67.49%)
Ta RsTechnical analysis library for Rust language
Stars: ✭ 248 (-48.97%)
Har Keras CnnHuman Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Stars: ✭ 97 (-80.04%)
PresentationsSlide show presentations regarding data driven investing.
Stars: ✭ 162 (-66.67%)
AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Stars: ✭ 564 (+16.05%)
JesseAn advanced crypto trading bot written in Python
Stars: ✭ 1,038 (+113.58%)
Riskfolio LibPortfolio Optimization and Quantitative Strategic Asset Allocation in Python
Stars: ✭ 305 (-37.24%)
awesome-pinescriptA Comprehensive Collection of Everything Related to Tradingview Pine Script.
Stars: ✭ 563 (+15.84%)
Awesome Algorithmic TradingA curated list of awesome algorithmic trading frameworks, libraries, software and resources
Stars: ✭ 328 (-32.51%)
Reddit Hyped StocksA web application to explore currently hyped stocks on Reddit
Stars: ✭ 173 (-64.4%)
algoboxOpen Source algorithmic trading platform in Java / Python
Stars: ✭ 90 (-81.48%)
QuantResearchQuantitative analysis, strategies and backtests
Stars: ✭ 1,013 (+108.44%)
FinanceHere you can find all the quantitative finance algorithms that I've worked on and refined over the past year!
Stars: ✭ 194 (-60.08%)
ciraCira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.
Stars: ✭ 21 (-95.68%)
roq-samplesHow to use the Roq C++20 API for Live Cryptocurrency Algorithmic and High-Frequency Trading as well as for Back-Testing and Historical Simulation
Stars: ✭ 119 (-75.51%)
DeepdowPortfolio optimization with deep learning.
Stars: ✭ 297 (-38.89%)
quick tradeconvenient script for trading with python.
Stars: ✭ 63 (-87.04%)
ProjectRewardA software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.
Stars: ✭ 57 (-88.27%)
Beibo🤖 Predict the stock market with AI 用AI预测股票市场
Stars: ✭ 46 (-90.53%)
VectorbtUltimate Python library for time series analysis and backtesting at scale
Stars: ✭ 855 (+75.93%)
Gekko StrategiesStrategies to Gekko trading bot with backtests results and some useful tools.
Stars: ✭ 1,022 (+110.29%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (-66.46%)