{"id":13688495,"url":"https://github.com/EliteQuant/EliteQuant","last_synced_at":"2025-05-01T19:31:04.337Z","repository":{"id":41407057,"uuid":"111503597","full_name":"EliteQuant/EliteQuant","owner":"EliteQuant","description":"A list of online resources for quantitative modeling, trading, portfolio management","archived":false,"fork":false,"pushed_at":"2024-06-15T16:17:39.000Z","size":1256,"stargazers_count":3204,"open_issues_count":11,"forks_count":592,"subscribers_count":173,"default_branch":"master","last_synced_at":"2025-03-23T09:22:33.610Z","etag":null,"topics":["algorithmic-trading","asset-management","asset-pricing","machine-learning","mathematical-finance","portfolio-management","quantitative-finance","quantitative-trading","trading-platform","trading-systems"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/EliteQuant.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-11-21T05:28:40.000Z","updated_at":"2025-03-23T07:44:53.000Z","dependencies_parsed_at":"2022-07-19T03:32:14.688Z","dependency_job_id":"44434259-a160-43bd-88f1-c852d02044a2","html_url":"https://github.com/EliteQuant/EliteQuant","commit_stats":{"total_commits":32,"total_committers":8,"mean_commits":4.0,"dds":0.46875,"last_synced_commit":"61e911dcf16530201f2066db26cd5a8842916663"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EliteQuant%2FEliteQuant","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EliteQuant%2FEliteQuant/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EliteQuant%2FEliteQuant/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EliteQuant%2FEliteQuant/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/EliteQuant","download_url":"https://codeload.github.com/EliteQuant/EliteQuant/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251932642,"owners_count":21667186,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["algorithmic-trading","asset-management","asset-pricing","machine-learning","mathematical-finance","portfolio-management","quantitative-finance","quantitative-trading","trading-platform","trading-systems"],"created_at":"2024-08-02T15:01:15.284Z","updated_at":"2025-05-01T19:31:03.121Z","avatar_url":"https://github.com/EliteQuant.png","language":null,"readme":"# EliteQuant\nA list of online resources for quantitative modeling, trading, portfolio management \n\nThere are lots of other valuable online resources. We are not trying to be exhaustive. Please feel free to send a pull request if you believe something is worth recommending. A general rule of thumb for open source projects is having already received 100 stars on github.\n\n* [Quantitative Trading Platform](#quantitative-trading-platform)\n* [Trading System](#trading-system)\n* [Quantitative Library](#quantitative-library)\n* [Quantitative Model](#quantitative-model)\n* [Trading API](#trading-api)\n* [Data Source](#data-source)\n* [Cryptocurrency](#cryptocurrency)\n* [Companies](#companies)\n* [Fintech](#fintech)\n* [Websites Forums Blogs](#websites-forums-blogs)\n\n- - -\n\n## Quantitative Trading Platform\n\n* [awesome-quant](https://github.com/wilsonfreitas/awesome-quant) - Awesome quant is another curated list of quant resources\n\n* [Quantopian](https://www.quantopian.com/) - First Python-based online quantitative trading platform; its core library [zipline](https://github.com/quantopian/zipline) and its performance evaluation library [pyfolio](https://github.com/quantopian/pyfolio); and [alphalens](https://github.com/quantopian/alphalens)\n\n* [QuantConnect](https://www.quantconnect.com/) - C# based online quantitative trading platform; its core library [Lean](https://github.com/QuantConnect/Lean)\n\n* [Quantiacs](https://www.quantiacs.com/) - The Marketplace For Algorithmic Trading Strategies; its [Matlab and Python toolbox](https://github.com/Quantiacs)\n\n* [Numerai](https://numer.ai/) - crowd-sourced trading strategies; its [Python API](https://github.com/uuazed/numerapi/)\n\n* [Collective2](https://trade.collective2.com/) - The platform that allows investors subscribe to top-traders; its [algotrades system](https://www.algotrades.net/)\n\n* [ZuluTrade](https://zulutrade.com) - The platform that allows investors subscribe to top-traders\n\n* [Tradingview](https://www.tradingview.com/chart/) - It provides free widgets used for example [Huobi](https://www.hbg.com/zh-cn/exchange/?s=eos_usdt)\n\n* [Investing.com](https://www.investing.com/indices/us-spx-500-futures-commentary) - Real time multi-assets and markets\n* [KloudTrader Narwhal](https://kloudtrader.com/Narwhal) - Trading algorithm [deployment platform](https://www.youtube.com/watch?v=4hfSJ769bDk) with flat-rate commission-free brokerage \n\n## Trading System\n\n* [MetaTrader 5](https://www.metatrader5.com/) - Multi-Asset trading system\n\n* [TradeStation](https://www.tradestation.com/) - Trading system\n\n* [SmartQuant(OpenQuant)](http://www.smartquant.com/) - C# Trading system\n\n* [RightEdge](https://www.rightedgesystems.com/) - Trading system\n\n* [AmiBroker](https://www.amibroker.com/) - Trading system\n\n* [Algo Terminal](https://www.algoterminal.com/) - C# Trading system\n\n* [NinjaTrader](https://ninjatrader.com/) - Trading system\n\n* [QuantTools](https://quanttools.bitbucket.io/) - Enhanced Quantitative Trading Modelling in R\n\n* [vnpy](https://github.com/vnpy/vnpy) - A popular and powerful trading platform\n\n* [pyalgotrade](https://github.com/gbeced/pyalgotrade) - Python Algorithmic Trading Library\n\n* [finmarketpy](https://github.com/cuemacro/finmarketpy) - Python library for backtesting trading strategies\n\n* [IBridgePy](http://www.ibridgepy.com/) - A Python system derived from zipline\n\n* [Backtrader](https://www.backtrader.com/) - Blog, trading community, and [github](https://github.com/backtrader/backtrader)\n\n* [IbPy](https://github.com/blampe/IbPy) - Interactive Brokers Python API\n\n* [PyLimitBook](https://github.com/danielktaylor/PyLimitBook) - Python implementation of fast limit-order book\n\n* [qtpylib](https://github.com/ranaroussi/qtpylib) - Pythonic Algorithmic Trading via IbPy API and its [Website](https://qtpylib.io/)\n\n* [Quantdom](https://github.com/constverum/Quantdom) - Python-based framework for backtesting trading strategies \u0026 analyzing financial markets [GUI]\n\n* [ib_insync](https://github.com/erdewit/ib_insync) - Python sync/async framework for Interactive Brokers API\n\n* [rqalpha](https://github.com/ricequant/rqalpha) - A popular trading platform\n\n* [bt](https://github.com/pmorissette/bt) - flexible backtesting for Python\n\n* [TradingGym](https://github.com/Yvictor/TradingGym) - Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.\n\n* [btgym](https://github.com/Kismuz/btgym) - Gym-compatible backtesting\n\n* [prophet](https://github.com/Emsu/prophet) - Python backtesting and trading platform\n\n* [OpenHFT](https://github.com/OpenHFT) - Java components for high-frequency trading\n\n* [libtrading](https://github.com/libtrading/libtrading) - C API, low latency, fix support\n\n* [thOth](https://github.com/vermosen/thOth) - open-source high frequency trading library in C++ 11\n\n* [qt_tradingclient](https://github.com/spinlockirqsave/qt_tradingclient_1) - multithreaded Qt C++ trading application, QuantLib-1.2.1, CUDA 5.0\n\n* [SubMicroTrading](https://github.com/gsitgithub/SubMicroTrading) - Java Ultra Low Latency Trading Framework\n\n* [WPF/MVVM Real-Time Trading Application](https://www.codeproject.com/Articles/326641/WPF-MVVM-Real-Time-Trading-Application) - Architechture\n\n* [TradeLink](https://github.com/pracplayopen/core)  - TradeLink, one of the earliest open source trading system\n\n* [Reactive Trader](https://github.com/AdaptiveConsulting) - using reactive Rx framework, includes [Reactive Trader](https://github.com/AdaptiveConsulting/ReactiveTrader) and [Reactive Trader Cloud](https://github.com/AdaptiveConsulting/ReactiveTraderCloud). The demo is [here](https://web-demo.adaptivecluster.com/).\n\n* [QuantTrading](https://github.com/letianzj/QuantTrading) - Pure C# trading system\n\n* [StockTrading](https://github.com/houmie/StockTrading) - C# system utilising WPF, WCF, PRISM, MVVM, Threading\n\n* [Quanter](https://github.com/superquanter/quanter) - StockTrader\n\n* [StockSharp](https://github.com/StockSharp/StockSharp) - C# trading system\n\n* [SharpQuant](https://github.com/smartquant/SharpQuant.QuantStudio) - C# trading system\n\n* [QuantSys](https://github.com/exl3/QuantSys) - C# trading system\n\n* [StockTicker](https://github.com/danielmarbach/StockTicker) - C# trading system\n\n* [gotrade](https://github.com/cyanly/gotrade) - Electronic trading and order management system written in Golang\n\n* [gofinance](https://github.com/aktau/gofinance) - Financial information retrieval and munging in golang\n\n* [goib](https://github.com/gofinance/ib) - Pure Go interface to Interactive Brokers IB API \n\n* [Matlab Trading Toolbox](https://www.mathworks.com/products/trading.html) - Official toolbox from Matlab; acommpanying [Introduction to Matlab Trading Toolbox](https://www.mathworks.com/matlabcentral/fileexchange/52588-automated-trading-system-development-with-matlab?focused=5253184\u0026tab=example), and [webinar Automated Trading System Development with MATLAB](https://www.mathworks.com/videos/automated-trading-system-development-with-matlab-106851.html), and [webinar Automated Trading with MATLAB](https://www.mathworks.com/videos/automated-trading-with-matlab-81911.html), as well as [webinar A Real-Time Trading System in MATLAB](https://www.mathworks.com/videos/a-real-time-trading-system-in-matlab-92900.html), [Automated Trading with Matlab](https://www.mathworks.com/videos/automated-trading-with-matlab-81911.html), [Commodities Trading with Matlab](https://www.mathworks.com/videos/commodities-trading-with-matlab-81986.html), [Cointegration and Pairs Trading with Econometrics Toolbox](https://www.mathworks.com/videos/cointegration-and-pairs-trading-with-econometrics-toolbox-81799.html)\n\n* [Matlab risk management Toolbox](https://www.mathworks.com/products/risk-management.html) - Official toolbox from Matlab\n\n* [Matlab Walk Forward Analysis Toolbox](https://wfatoolbox.com/) - toolbox for walk-forward analysis\n\n* [IB4m](https://github.com/softwarespartan/IB4m) - matlab interface to interactive broker\n\n* [IB-Matlab](https://undocumentedmatlab.com/ib-matlab/) - introduction to another matlab interface to interactive broker and [demo video](https://undocumentedmatlab.com/ib-matlab/real-time-trading-system-demo)\n\n* [openAlgo Matlab](https://github.com/mtompkins/openAlgo/tree/master/Matlab) - openAlgo's Matlab library\n\n* [MatTest](https://github.com/edisonhyc/MatTest) - Matlab backtest system\n\n## Quantitative Library\n\n* [Quantlib](https://www.quantlib.org/) - famous C++ library for quantitative finance; tranlated into other langugages via Swig\n\n* [TA-Lib](https://github.com/mrjbq7/ta-lib) - Python wrapper for TA-Lib\n\n* [DX Analytics](https://dx-analytics.com/) - Python-based financial analytics library\n\n* [FinMath](http://finmath.net/) - Java analytics library\n\n* [OpenGamma](https://opengamma.com/) - Java analytics library named STRATA\n\n* [Quantiacs](https://github.com/Quantiacs) - [Matlab](https://github.com/Quantiacs/quantiacs-matlab) toolbox\n\n* [pyflux](https://github.com/RJT1990/pyflux) - Open source time series library for Python\n\n* [arch](https://github.com/bashtage/arch) - ARCH models in Python\n\n* [flint](https://github.com/twosigma/flint) - A Time Series Library for Apache Spark\n\n* [Statsmodels](https://www.statsmodels.org) - Statsmodels’s Documentation\n\n\n## Quantitative Model\n\n* [awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading) - A list of machine learning resources for trading\n\n* [Awesome-Quant-Machine-Learning-Trading](https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading) - Another list of machine learning resources for trading\n\n* [awesome-ai-in-finance](https://github.com/georgezouq/awesome-ai-in-finance) - A collection of AI resources in finance\n\n* [deepstock](https://github.com/keon/deepstock) - Technical experimentations to beat the stock market using deep learning\n\n* [qtrader](https://github.com/filangel/qtrader) - Reinforcement Learning for Portfolio Management\n\n* [stockPredictor](https://github.com/Nazanin1369/stockPredictor) - Predict stock movement with Machine Learning and Deep Learning algorithms\n\n* [stock_market_reinforcement_learning](https://github.com/kh-kim/stock_market_reinforcement_learning) - Stock market environment using OpenGym with Deep Q-learning and Policy Gradient\n\n* [deep-algotrading](https://github.com/LiamConnell/deep-algotrading) - deep learning techniques from regression to LSTM using financial data\n\n* [deep_trader](https://github.com/deependersingla/deep_trader) - Use reinforcement learning on stock market and agent tries to learn trading. \n\n* [Deep-Trading](https://github.com/Rachnog/Deep-Trading) - Algorithmic trading with deep learning experiments\n\n* [Deep-Trading](https://github.com/ha2emnomer/Deep-Trading) - Algorithmic Trading using RNN\n\n* [100 Day Machine Learning](https://github.com/Avik-Jain/100-Days-Of-ML-Code) - Machine Learning tutorial with code\n\n* [Multidimensional-LSTM-BitCoin-Time-Series](https://github.com/jaungiers/Multidimensional-LSTM-BitCoin-Time-Series) - Using multidimensional LSTM neural networks to create a forecast for Bitcoin price\n\n* [QLearning_Trading](https://github.com/ucaiado/QLearning_Trading) - Learning to trade under the reinforcement learning framework\n\n* [bulbea](https://github.com/achillesrasquinha/bulbea) - Deep Learning based Python Library for Stock Market Prediction and Modelling \n\n* [PGPortfolio](https://github.com/ZhengyaoJiang/PGPortfolio) - source code of \"A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem\"\n\n* [gym-trading](https://github.com/hackthemarket/gym-trading) - Environment for reinforcement-learning algorithmic trading models\n\n* [Thesis](https://github.com/pnecchi/Thesis) - Reinforcement Learning for Automated Trading\n\n* [DQN](https://github.com/jjakimoto/DQN) - Reinforcement Learning for finance\n\n* [Deep-Trading-Agent](https://github.com/samre12/deep-trading-agent) - Deep Reinforcement Learning based Trading Agent for Bitcoin\n\n* [deep_portfolio](https://github.com/deependersingla/deep_portfolio) - Use Reinforcement Learning and Supervised learning to Optimize portfolio allocation.\n\n* [Deep-Reinforcement-Learning-in-Stock-Trading](https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading) - Using deep actor-critic model to learn best strategies in pair trading\n\n* [Stock-Price-Prediction-LSTM](https://github.com/NourozR/Stock-Price-Prediction-LSTM) - OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network\n\n* [DeepDow](https://github.com/jankrepl/deepdow) - Portfolio optimization with deep learning\n\n* [Personae](https://github.com/Ceruleanacg/Personae) - Quantitative trading with deep learning\n\n* [tensortrade](https://github.com/tensortrade-org/tensortrade) - Reinforcement learning and trading\n\n* [stockpredictionai](https://github.com/borisbanushev/stockpredictionai) - AI models such as GAN and PPO applied to stock markets\n\n* [machine-learning-for-trading](https://github.com/stefan-jansen/machine-learning-for-trading) - Machine learning for algorithmic trading book\n\n* [algorithmic-trading-with-python](https://github.com/chrisconlan/algorithmic-trading-with-python) - Algorithmic Trading with Python book (2020)\n\n* [machine-learning-asset-management](https://github.com/firmai/machine-learning-asset-management) - Machine Learning in Asset Management by [firmai.org](https://www.firmai.org/)\n\n## Trading API\n\n* [Interactive Brokers](https://www.interactivebrokers.com) - popular among retail trader\n\n* [Bloomberg API](https://www.bloomberg.com/professional/support/api-library/) - from Bloomberg\n\n## Data Source\n\n* [Quandl](https://www.quandl.com/) - free and premium data sources\n\n* [iex](https://iextrading.com/trading/market-data/) - free market data\n\n* [one tick](https://www.onetick.com/) - historical tick data\n\n* [iqfeed](https://www.iqfeed.net/) - real time data feed\n\n* [quantquote](https://quantquote.com/) - tick and live data\n\n* [algoseek](https://www.algoseek.com/) - historical intraday\n\n* [EOD data](https://eoddata.com/) - historical data\n\n* [EOD historical data](https://eodhistoricaldata.com/) - historical data\n\n* [intrinio](https://intrinio.com/) - financial data\n\n* [arctic](https://github.com/manahl/arctic) - High performance datastore from [Man AHL](https://www.ahl.com/) for time series and tick data \n\n* [SEC EDGAR API](https://sec-api.io/) -- Query company filings on SEC EDGAR\n\n## Cryptocurrency\n\n* [Blockchain-stuff](https://github.com/Xel/Blockchain-stuff) - Blockchain and Crytocurrency Resources\n\n* [cryptrader](https://cryptotrader.org/) - Node.js Bitcoin bot for MtGox/Bitstamp/BTC-E/CEX.IO; [cryptrade](https://github.com/donfanning/cryptrade) \n\n* [BitcoinExchangeFH](https://github.com/BitcoinExchangeFH/BitcoinExchangeFH) - Cryptocurrency exchange market data feed handler \n\n* [hummingbot](http://hummingbot.io) - free [open source](https://github.com/CoinAlpha/hummingbot/) crypto trading bot that supports both DEXes and CEXes\n\n* [blackbird](https://github.com/butor/blackbird) - C++ trading system that does automatic long/short arbitrage between Bitcoin exchanges\n\n* [Peatio](https://www.peatio.tech) - An open-source crypto currency exchange on [github](https://github.com/peatio/peatio)\n\n* [Qt Bitcoin Trader](https://github.com/JulyIGHOR/QtBitcoinTrader) - Qt C++ Bitcoin trading\n\n* [ccxt](https://github.com/ccxt/ccxt) - A JavaScript / Python / PHP cryptocurrency trading library with support for more than 130 bitcoin/altcoin exchanges\n\n* [r2](https://github.com/bitrinjani/r2) - Qan automatic arbitrage trading system powered by Node.js + TypeScript\n\n* [bcoin](https://github.com/bcoin-org/bcoin) - Javascript bitcoin library for node.js and [browsers](https://bcoin.io/)\n\n* [XChange](https://github.com/knowm/XChange) - Java library providing a streamlined API for interacting with 60+ Bitcoin and Altcoin exchanges\n\n* [Krypto-trading-bot](https://github.com/ctubio/Krypto-trading-bot) - Self-hosted crypto trading bot (automated high frequency market making) in node.js, angular, typescript and c++\n\n* [freqtrade](https://github.com/freqtrade/freqtrade) - Simple High Frequency Trading Bot for crypto currencies\n\n* [Gekko](https://github.com/askmike/gekko) - A bitcoin trading bot written in node\n\n* [viabtc_exchange_server](https://github.com/viabtc/viabtc_exchange_server) - A trading engine with high-speed performance and real-time notification\n\n* [catalyst](https://github.com/enigmampc/catalyst) - An Algorithmic Trading Library for Crypto-Assets in Python [Enigma](https://enigma.co/)\n\n* [buttercoin](https://github.com/buttercoin/buttercoin) - Opensource Bitcoin Exchange Software\n\n* [zenbot](https://github.com/DeviaVir/zenbot) - A command-line cryptocurrency trading bot using Node.js and MongoDB.\n\n* [tribeca](https://github.com/michaelgrosner/tribeca) - A high frequency, market making cryptocurrency trading platform in node.js\n\n* [rbtc_arbitrage](https://github.com/hstove/rbtc_arbitrage) - A gem for automating arbitrage between Bitcoin exchanges.\n\n* [automated-trading](https://github.com/bevry-trading/automated-trading) - Automated Trading: Trading View Strategies =\u003e Bitfinex, itBit, DriveWealth\n\n* [gocryptotrader](https://github.com/thrasher-/gocryptotrader) - A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang\n\n* [btcrobot](https://github.com/philsong/btcrobot) - Golang bitcoin trading bot\n\n* [bitex](https://github.com/blinktrade/bitex) - Open Source Bitcoin Exchange; and its [front-end](https://github.com/blinktrade/frontend)\n\n* [cryptoworks](https://cryptoworks.co/) - A cryptocurrency arbitrage opportunity calculator. Over 800 currencies and 50 markets; [cryptocurrency-arbitrage](https://github.com/manu354/cryptocurrency-arbitrage)\n\n* [crypto-exchange](https://github.com/passabilities/crypto-exchange) - list of crypto exchanges to interact with their API's in a uniform fashion\n\n* [bitcoin-abe](https://github.com/bitcoin-abe/bitcoin-abe) - block browser for Bitcoin and similar currencies\n\n* [MultiPoolMiner](https://github.com/MultiPoolMiner/MultiPoolMiner) - Monitors crypto mining pools in real-time in order to find the most profitable for your machine. Controls any miner that is available via command line\n\n* [tai](https://github.com/fremantle-capital/tai) - An open source, composable, real time, market data and trade execution toolkit. Written in Elixir\n\n* [crypto-signal](https://github.com/CryptoSignal/crypto-signal) - Technical signals for multiple exchanges\n\n## Companies\n\nNot trying to be exhaustive\n\n* [Sell Side](https://en.wikipedia.org/wiki/List_of_investment_banks)\n\n* [FIA PTG](http://www.marketswiki.com/wiki/Principal_Traders_Group) and [FIA Europe](https://www.fia.org/epta-membership)\n\n* [Allston Trading](http://www.marketswiki.com/wiki/Allston_Trading,_LLC)\n\n* [CTC](http://www.marketswiki.com/wiki/Chicago_Trading_Company)\n\n* [Citadel](https://en.wikipedia.org/wiki/Citadel_LLC)\n\n* [D.E. Shaw](https://en.wikipedia.org/wiki/D._E._Shaw_%26_Co.)\n\n* [DRW](http://www.marketswiki.com/wiki/DRW)\n\n* [Flow Traders](https://www.flowtraders.com/)\n\n* [GTS](http://www.gtsx.com/)\n\n* [HRT](https://en.wikipedia.org/wiki/Hudson_River_Trading)\n\n* [IMC](https://en.wikipedia.org/wiki/IMC_Financial_Markets)\n\n* [Infinium](http://www.marketswiki.com/wiki/Infinium_Capital_Management,_LLC)\n\n* [Jane Street](https://en.wikipedia.org/wiki/Jane_Street_Capital)\n\n* [Jump Trading](http://www.marketswiki.com/wiki/Jump_Trading_LLC)\n\n* [Millennium](https://en.wikipedia.org/wiki/Millennium_Management,_LLC)\n\n* [Optiver](https://en.wikipedia.org/wiki/Optiver)\n\n* [Quantlab Financial](https://www.quantlab.com/)\n\n* [Renaissance](https://en.wikipedia.org/wiki/Renaissance_Technologies)\n\n* [Bridgewater Associates](https://en.wikipedia.org/wiki/Bridgewater_Associates)\n\n* [Man Group](https://en.wikipedia.org/wiki/Man_Group), [AHL](https://www.ahl.com/)\n\n* [SIG](https://en.wikipedia.org/wiki/Susquehanna_International_Group)\n\n* [Tower Research](https://en.wikipedia.org/wiki/Tower_Research)\n\n* [Tradebot Systems](https://en.wikipedia.org/wiki/Tradebot)\n\n* [Two Sigma](https://en.wikipedia.org/wiki/Two_Sigma)\n\n* [Virtu Financial](https://en.wikipedia.org/wiki/Virtu_Financial)\n\n* [XR Trading](http://www.xrtrading.com/)\n\n* [XTX Markets](https://en.wikipedia.org/wiki/XTX_Markets)\n\nCommodity Focused\n\n* [Cargill](https://en.wikipedia.org/wiki/Cargill)\n\n* [Glencore](https://en.wikipedia.org/wiki/Glencore)\n\n* [Mercuria](https://en.wikipedia.org/wiki/Mercuria_Energy_Group)\n\n* [Trafigura](https://en.wikipedia.org/wiki/Trafigura)\n\n* [Vigor](https://en.wikipedia.org/wiki/Vitol)\n\n## Fintech\n\n* [Alpaca](https://www.alpaca.ai/)\n\n* [Knesho](https://www.kensho.com/)\n\n* [Neotic](https://neotic.ai/)\n\n* [Numerai](https://en.wikipedia.org/wiki/Numerai)\n\n* [Symphony](https://en.wikipedia.org/wiki/Symphony_Communication)\n\n## Websites Forums Blogs\n\n* [Top Geeky Quant Blogs](https://alphaarchitect.com/2014/10/13/top-geeky-quant-blogs/#.VECOwfldV8E) - A quant blogs check out list\n\n* [Quantocracy](https://quantocracy.com/) - Aggregation of news on quants\n\n* [seekingalpha](https://seekingalpha.com/) - Seeking Alpha community\n\n* [Quantivity](https://quantivity.wordpress.com/) - quantitative and algorithmic trading\n\n* [Wilmott](https://www.wilmott.com/) - quantitative finance community forum\n\n* [Elitetrader](https://www.elitetrader.com/) - trading forum\n\n* [nuclearphynance](https://www.nuclearphynance.com/) - quantitative finance forum\n\n* [Investopedia](https://www.investopedia.com/) - The Encyclopedia of investments\n\n* [Quantpedia](https://www.quantpedia.com/) - The Encyclopedia of Quantitative Trading Strategies\n\n* [EpChan](https://epchan.blogspot.com/) - Dr. Ernie Chan's blog\n\n* [Quantinsti](https://quantra.quantinsti.com/) - Quant Institute\n\n* [QuantStart](https://www.quantstart.com/) - Michael Halls-Moore's quantstart, quant trading 101; its Python backtest platform [qstrader](https://github.com/mhallsmoore/qstrader) and [qsforex](https://github.com/mhallsmoore/qsforex)\n\n* [Algotrading 101](https://algotrading101.com/) - Algo trading 101\n\n* [Systematic Investor](https://systematicinvestor.github.io/)/[old version](https://systematicinvestor.wordpress.com/) - [Michael Kapler](https://www.linkedin.com/in/michael-kapler-mmf-cfa-92a1a02/?ppe=1)'s blog, one of the best R quantitative blog; [Systematic Investor Toolkit](https://github.com/systematicinvestor/SIT)\n\n* [R-Finance](https://github.com/R-Finance) - R-Finance repository. It has backtest [quantstrat](https://github.com/R-Finance/quantstrat), [trade blotter](https://github.com/R-Finance/blotter), famous [performance analytics](https://github.com/R-Finance/PerformanceAnalytics) package, and package [portfolio analytics](https://github.com/R-Finance/PortfolioAnalytics), [portfolio attribution](https://github.com/R-Finance/PortfolioAttribution).\n\n* [quantmod](https://www.quantmod.com/) - R modelling and trading framework\n\n* [r programming](http://www.r-programming.org/papers) - Guy Yollin's R backtesting\n\n* [Seer Trading](http://www.seertrading.com/) - R Backtest and live trading\n\n* [Trading with Python](https://tradingwithpython.blogspot.com/)\n\n* [python programming finance](https://pythonprogramming.net/finance-tutorials/) - python finance tutorial and quantopian toturial\n\n* [python for finance](https://www.pythonforfinance.net/) - python finance\n\n* [Quant Econ](https://quantecon.org/) - open source python and julia codes for economic modeling; and lectures\n\n* [JuliaQuant](https://github.com/JuliaQuant) - Quantitative Finance in Julia\n\n* [Portfolio Effect](https://www.portfolioeffect.com/) - real time portfolio and risk management\n\n* [quant365](http://www.quant365.com/) - Henry Moo's blog and trading system; including Sentosa, [pysentosa binding](https://github.com/henrywoo/pysentosa), rsentosa binding and [qblog](https://github.com/henrywoo/qblog).\n\n* [hpc quantlib](https://hpcquantlib.wordpress.com/) - HPC + QuantLib\n\n* [Quant Corner](https://quantcorner.wordpress.com/)\n\n* [quantstrat trader](https://quantstrattrader.wordpress.com/) - Backtesting trading ideas with R [QuantStrat](https://github.com/R-Finance/quantstrat) package\n\n* [Backtesting Strategies](https://timtrice.github.io/backtesting-strategies/) - Backtesting in R; codes at [Github](https://github.com/timtrice/backtesting-strategies)\n\n* [The Quant MBA](https://thequantmba.wordpress.com/) - good quant blog\n\n* [Foss Trading](http://blog.fosstrading.com/) - Algorithmic trading with free open source software\n\n* [Gekko Quant](http://gekkoquant.com/) - Quantitative Trading\n\n* [Investment Idiocy](https://qoppac.blogspot.com/) - Systematic Trading, Quantitative Finance, Investing, Financial Activism, Economic decision making by Robert Carver; [his book](https://www.amazon.com/Systematic-Trading-designing-trading-investing/dp/0857194453) and [his Python library](https://github.com/robcarver17/pysystemtrade)\n\n* [Quantifiable Edges](https://quantifiableedges.com/blog/)/[old version](https://quantifiableedges.blogspot.com/) - Assessing market action with indicators and history\n\n* [My Simple Quant](http://mysimplequant.blogspot.com/) - Market analysis utilizing historical, back-tessted data\n\n* [Vix and more](https://vixandmore.blogspot.com/) - discussions on Vix\n\n* [Timely Portfolio](https://timelyportfolio.blogspot.com/) - Strategies and tests in R\n\n* [Quantitative Research and Trading](https://jonathankinlay.com/)\n\n* [Qusma](https://qusma.com/) - Quantitative Systematic Market Analysis\n\n* [return and risk](http://www.returnandrisk.com/) - Quantitative finance, analysis, and applications\n\n* [Physics of Finance](https://physicsoffinance.blogspot.com/) - Inspiration from physics for thinking about economics, finance and social systems\n\n* [Quantum Financier](https://quantumfinancier.wordpress.com/) - algorithmic trading\n\n* [Trading the Odds](http://www.tradingtheodds.com/) -- market timing \u0026 quantitative analysis\n\n* [CSSA](https://cssanalytics.wordpress.com/) - new concepts in quantitative research\n\n* [The Practical Quant](https://practicalquant.blogspot.com/)\n\n* [Tr8dr](https://tr8dr.github.io/) - strategies, statistics, computer science, numerical techniques\n\n* [Deniz's Note](https://denizstij.blogspot.com/) - blog of a quant Deniz Turan\n\n* [Quant at risk](http://www.quantatrisk.com/) - quantitative analysis and risk management\n\n* [Quant Blog](https://letianzj.github.io/) - Quantitative trading, portfolio management, and machine learning, with [source codes on Github](https://github.com/letianzj/QuantResearch)\n\n* [The R Trader](https://www.thertrader.com/) - Using R in quant finance\n\n* [rbresearch](https://rbresearch.wordpress.com/) - Using R for trading strategy ideas in FX and equity markets\n\n* [NaN Quantivity](https://quantlife.wordpress.com/) - quant trading, statistical learning, coding and brainstorming\n\n* [Factor Investing](https://factorinvestingtutorial.wordpress.com/) - blog on wordpress\n\n* [Meb Faber Research](https://mebfaber.com/)\n\n* [Big Mike Trading](https://www.youtube.com/user/BigMikeTrading/videos) - Youtube chanel in quant trading\n\n* [Mechanical Markets](https://mechanicalmarkets.wordpress.com/)\n\n* [Humble Student of the Markets](https://humblestudentofthemarkets.blogspot.com/)\n\n* [Predict Stock Prices Using RNN](https://lilianweng.github.io/lil-log/2017/07/08/predict-stock-prices-using-RNN-part-1.html)\n\n* [BlackArbs](http://www.blackarbs.com/blog) - blog and [machine learning notebooks on Github](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises)\n","funding_links":[],"categories":["Others","📦 Legacy \u0026 Inactive Projects"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FEliteQuant%2FEliteQuant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FEliteQuant%2FEliteQuant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FEliteQuant%2FEliteQuant/lists"}