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 (+274.79%)
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 (-85.43%)
QlibQlib 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.
Stars: ✭ 7,582 (+961.9%)
PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Stars: ✭ 2,502 (+250.42%)
TuringtraderThe Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.
Stars: ✭ 132 (-81.51%)
QuantdomPython-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
Stars: ✭ 449 (-37.11%)
AutoTraderA Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Stars: ✭ 227 (-68.21%)
Pandas TaTechnical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Stars: ✭ 962 (+34.73%)
TaiA composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Stars: ✭ 264 (-63.03%)
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 (-60.22%)
Riskfolio LibPortfolio Optimization and Quantitative Strategic Asset Allocation in Python
Stars: ✭ 305 (-57.28%)
Alpha Mindquantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
Stars: ✭ 171 (-76.05%)
LearnpythonforresearchThis repository provides everything you need to get started with Python for (social science) research.
Stars: ✭ 163 (-77.17%)
Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Stars: ✭ 356 (-50.14%)
StocksharpAlgorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Stars: ✭ 4,601 (+544.4%)
Strategems.jlQuantitative systematic trading strategy development and backtesting in Julia
Stars: ✭ 106 (-85.15%)
Trading BacktestA stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
Stars: ✭ 247 (-65.41%)
Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (-91.6%)
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 (-85.43%)
AlphalensPerformance analysis of predictive (alpha) stock factors
Stars: ✭ 2,130 (+198.32%)
Quant NotesQuantitative Interview Preparation Guide, updated version here ==>
Stars: ✭ 180 (-74.79%)
ciraCira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.
Stars: ✭ 21 (-97.06%)
AlgorithmictradingThis repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
Stars: ✭ 157 (-78.01%)
ml monoreposuper-monorepo for machine learning and algorithmic trading
Stars: ✭ 43 (-93.98%)
piker#nontina, #paperhands,, #pwnzebotz, #tradezbyguille
Stars: ✭ 63 (-91.18%)
tunetaIntelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Stars: ✭ 77 (-89.22%)
quanttradeQuantitative Trading Library
Stars: ✭ 16 (-97.76%)
trading sim📈📆 Backtest trading strategies concurrently using historical chart data from various financial exchanges.
Stars: ✭ 21 (-97.06%)
pyjuque⚡ Open Source Algorithmic Trading Bot for Python.
Stars: ✭ 318 (-55.46%)
neural-financeNeural Network for HFT-trading [experimental]
Stars: ✭ 67 (-90.62%)
QlnetQLNet C# Library
Stars: ✭ 252 (-64.71%)
turingquantNo description or website provided.
Stars: ✭ 19 (-97.34%)
junctureLow latency connectivity to trading venues on the JVM
Stars: ✭ 31 (-95.66%)
Crypto SignalGithub.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks
Stars: ✭ 3,690 (+416.81%)
RlquantApplying Reinforcement Learning in Quantitative Trading
Stars: ✭ 271 (-62.04%)
DeepdowPortfolio optimization with deep learning.
Stars: ✭ 297 (-58.4%)
A3c tradingTrading with recurrent actor-critic reinforcement learning
Stars: ✭ 305 (-57.28%)
PyexPython interface to IEX and IEX cloud APIs
Stars: ✭ 311 (-56.44%)
Thstrader量化交易。同花顺免费模拟炒股软件客户端的python API。(Python3)
Stars: ✭ 311 (-56.44%)
Awesome Algorithmic TradingA curated list of awesome algorithmic trading frameworks, libraries, software and resources
Stars: ✭ 328 (-54.06%)
Oanda Api V20OANDA REST-V20 API wrapper. Easy access to OANDA's REST v20 API with oandapyV20 package. Checkout the Jupyter notebooks!
Stars: ✭ 325 (-54.48%)
DeltapyDeltaPy - Tabular Data Augmentation (by @firmai)
Stars: ✭ 344 (-51.82%)
GOAiNo description or website provided.
Stars: ✭ 57 (-92.02%)
Example HftishExample Order Book Imbalance Algorithm
Stars: ✭ 355 (-50.28%)
QtraderReinforcement Learning for Portfolio Management
Stars: ✭ 363 (-49.16%)
FinancepyA Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Stars: ✭ 416 (-41.74%)