# EliteQuant **Repository Path**: hawksilent/EliteQuant ## Basic Information - **Project Name**: EliteQuant - **Description**: A list of online resources for quantitative modeling, trading, portfolio management - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 1 - **Created**: 2020-03-26 - **Last Updated**: 2021-07-07 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # EliteQuant A list of online resources for quantitative modeling, trading, portfolio management Besides those in this list and in [gitee list](https://gitee.com/EliteQuant/EliteQuant), there are lots of other valuable online resources. We are not trying to be exhaustive. Please feel free to contact us if you believe something is worth recommending. A general rule of thumb for open source projects is having already received 10 stars on github. * [Quantitative Trading Platform](#quantitative-trading-platform) * [Trading System](#trading-system) * [Quantitative Library](#quantitative-library) * [Quantitative Model](#quantitative-model) * [Trading API](#trading-api) * [Data Source](#data-source) * [Cryptocurrency](#cryptocurrency) * [Companies](companies) * [Fintech](fintech) * [Websites Forums Blogs](#websites-forums-blogs) - - - ## Quantitative Trading Platform * [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) * [QuantConnect](https://www.quantconnect.com/) - C# based online quantitative trading platform; its core library [Lean](https://github.com/QuantConnect/Lean) * [Quantiacs](https://www.quantiacs.com/) - The Marketplace For Algorithmic Trading Strategies; its [Matlab and Python toolbox](https://github.com/Quantiacs) * [Numerai](https://numer.ai/) - crowd-sourced trading strategies; its [Python API](https://github.com/uuazed/numerapi/) * [Collective2](https://trade.collective2.com/) - The platform that allows investors subscribe to top-traders; its [algotrades system](https://www.algotrades.net/) * [ZuluTrade](https://zulutrade.com) - The platform that allows investors subscribe to top-traders * [Tradingview](https://www.tradingview.com/chart/) - It provides free widgets used for example [Huobi](https://www.hbg.com/zh-cn/exchange/?s=eos_usdt) * [Investing.com](https://www.investing.com/indices/us-spx-500-futures-commentary) - Real time multi-assets and markets * [KloudTrader Narwhal](https://kloudtrader.com/Narwhal) - Trading algorithm [deployment platform](https://www.youtube.com/watch?v=4hfSJ769bDk) with flat-rate commission-free brokerage ## Trading System * [MetaTrader 5](https://www.metatrader5.com/) - Multi-Asset trading system * [TradeStation](https://www.tradestation.com/) - Trading system * [SmartQuant(OpenQuant)](http://www.smartquant.com/) - C# Trading system * [RightEdge](https://www.rightedgesystems.com/) - Trading system * [AmiBroker](https://www.amibroker.com/) - Trading system * [Algo Terminal](https://www.algoterminal.com/) - C# Trading system * [NinjaTrader](https://ninjatrader.com/) - Trading system * [QuantTools](https://quanttools.bitbucket.io/) - Enhanced Quantitative Trading Modelling in R * [pyalgotrade](https://github.com/gbeced/pyalgotrade) - Python Algorithmic Trading Library * [finmarketpy](https://github.com/cuemacro/finmarketpy) - Python library for backtesting trading strategies * [IBridgePy](http://www.ibridgepy.com/) - A Python system derived from zipline * [Backtrader](https://www.backtrader.com/) - Blog, trading community, and [github](https://github.com/backtrader/backtrader) * [IbPy](https://github.com/blampe/IbPy) - Interactive Brokers Python API * [PyLimitBook](https://github.com/danielktaylor/PyLimitBook) - Python implementation of fast limit-order book * [qtpylib](https://github.com/ranaroussi/qtpylib) - Pythonic Algorithmic Trading via IbPy API and its [Website](https://qtpylib.io/) * [Quantdom](https://github.com/constverum/Quantdom) - Python-based framework for backtesting trading strategies & analyzing financial markets [GUI] * [ib_insync](https://github.com/erdewit/ib_insync) - Python sync/async framework for Interactive Brokers API * [bt](https://github.com/pmorissette/bt) - flexible backtesting for Python * [TradingGym](https://github.com/Yvictor/TradingGym) - Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo. * [OpenHFT](https://github.com/OpenHFT) - Java components for high-frequency trading * [libtrading](https://github.com/libtrading/libtrading) - C API, low latency, fix support * [thOth](https://github.com/vermosen/thOth) - open-source high frequency trading library in C++ 11 * [qt_tradingclient](https://github.com/spinlockirqsave/qt_tradingclient_1) - multithreaded Qt C++ trading application, QuantLib-1.2.1, CUDA 5.0 * [SubMicroTrading](https://github.com/gsitgithub/SubMicroTrading) - Java Ultra Low Latency Trading Framework * [WPF/MVVM Real-Time Trading Application](https://www.codeproject.com/Articles/326641/WPF-MVVM-Real-Time-Trading-Application) - Architechture * [TradeLink](https://github.com/pracplayopen/core) - TradeLink, one of the earliest open source trading system * [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/). * [QuantTrading](https://github.com/letianzj/QuantTrading) - Pure C# trading system * [StockTrading](https://github.com/houmie/StockTrading) - C# system utilising WPF, WCF, PRISM, MVVM, Threading * [Quanter](https://github.com/superquanter/quanter) - StockTrader * [StockSharp](https://github.com/StockSharp/StockSharp) - C# trading system * [SharpQuant](https://github.com/smartquant/SharpQuant.QuantStudio) - C# trading system * [QuantSys](https://github.com/exl3/QuantSys) - C# trading system * [StockTicker](https://github.com/danielmarbach/StockTicker) - C# trading system * [gotrade](https://github.com/cyanly/gotrade) - Electronic trading and order management system written in Golang * [gofinance](https://github.com/aktau/gofinance) - Financial information retrieval and munging in golang * [goib](https://github.com/gofinance/ib) - Pure Go interface to Interactive Brokers IB API * [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&tab=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) * [Matlab risk management Toolbox](https://www.mathworks.com/products/risk-management.html) - Official toolbox from Matlab * [Matlab Walk Forward Analysis Toolbox](https://wfatoolbox.com/) - toolbox for walk-forward analysis * [IB4m](https://github.com/softwarespartan/IB4m) - matlab interface to interactive broker * [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) * [openAlgo Matlab](https://github.com/mtompkins/openAlgo/tree/master/Matlab) - openAlgo's Matlab library * [MatTest](https://github.com/edisonhyc/MatTest) - Matlab backtest system ## Quantitative Library * [Quantlib](https://www.quantlib.org/) - famous C++ library for quantitative finance; tranlated into other langugages via Swig * [TA-Lib](https://github.com/mrjbq7/ta-lib) - Python wrapper for TA-Lib * [DX Analytics](https://dx-analytics.com/) - Python-based financial analytics library * [FinMath](http://finmath.net/) - Java analytics library * [OpenGamma](https://opengamma.com/) - Java analytics library named STRATA * [Quantiacs](https://github.com/Quantiacs) - [Matlab](https://github.com/Quantiacs/quantiacs-matlab) toolbox * [pyflux](https://github.com/RJT1990/pyflux) - Open source time series library for Python * [arch](https://github.com/bashtage/arch) - ARCH models in Python * [flint](https://github.com/twosigma/flint) - A Time Series Library for Apache Spark * [Statsmodels](https://www.statsmodels.org) - Statsmodels’s Documentation ## Quantitative Model * [deepstock](https://github.com/keon/deepstock) - Technical experimentations to beat the stock market using deep learning * [qtrader](https://github.com/filangel/qtrader) - Reinforcement Learning for Portfolio Management * [stockPredictor](https://github.com/Nazanin1369/stockPredictor) - Predict stock movement with Machine Learning and Deep Learning algorithms * [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 * [deep-algotrading](https://github.com/LiamConnell/deep-algotrading) - deep learning techniques from regression to LSTM using financial data * [deep_trader](https://github.com/deependersingla/deep_trader) - Use reinforcement learning on stock market and agent tries to learn trading. * [Deep-Trading](https://github.com/Rachnog/Deep-Trading) - Algorithmic trading with deep learning experiments * [Deep-Trading](https://github.com/ha2emnomer/Deep-Trading) - Algorithmic Trading using RNN * [100 Day Machine Learning](https://github.com/Avik-Jain/100-Days-Of-ML-Code) - Machine Learning tutorial with code * [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 * [QLearning_Trading](https://github.com/ucaiado/QLearning_Trading) - Learning to trade under the reinforcement learning framework * [bulbea](https://github.com/achillesrasquinha/bulbea) - Deep Learning based Python Library for Stock Market Prediction and Modelling * [PGPortfolio](https://github.com/ZhengyaoJiang/PGPortfolio) - source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" * [gym-trading](https://github.com/hackthemarket/gym-trading) - Environment for reinforcement-learning algorithmic trading models * [Thesis](https://github.com/pnecchi/Thesis) - Reinforcement Learning for Automated Trading * [DQN](https://github.com/jjakimoto/DQN) - Reinforcement Learning for finance * [Deep-Trading-Agent](https://github.com/samre12/deep-trading-agent) - Deep Reinforcement Learning based Trading Agent for Bitcoin * [deep_portfolio](https://github.com/deependersingla/deep_portfolio) - Use Reinforcement Learning and Supervised learning to Optimize portfolio allocation. * [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 * [Stock-Price-Prediction-LSTM](https://github.com/NourozR/Stock-Price-Prediction-LSTM) - OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network ## Trading API * [Interactive Brokers](https://www.interactivebrokers.com) - popular among retail trader * [Bloomberg API](https://www.bloomberg.com/professional/support/api-library/) - from Bloomberg ## Data Source * [Quandl](https://www.quandl.com/) - free and premium data sources * [iex](https://iextrading.com/trading/market-data/) - free market data * [one tick](https://www.onetick.com/) - historical tick data * [iqfeed](https://www.iqfeed.net/) - real time data feed * [quantquote](https://quantquote.com/) - tick and live data * [algoseek](https://www.algoseek.com/) - historical intraday * [EOD data](https://eoddata.com/) - historical data * [EOD historical data](https://eodhistoricaldata.com/) - historical data * [intrinio](https://intrinio.com/) - financial data * [arctic](https://github.com/manahl/arctic) - High performance datastore from [Man AHL](https://www.ahl.com/) for time series and tick data ## Cryptocurrency * [Blockchain-stuff](https://github.com/Xel/Blockchain-stuff) - Blockchain and Crytocurrency Resources * [cryptrader](https://cryptotrader.org/) - Node.js Bitcoin bot for MtGox/Bitstamp/BTC-E/CEX.IO; [cryptrade](https://github.com/donfanning/cryptrade) * [BitcoinExchangeFH](https://github.com/BitcoinExchangeFH/BitcoinExchangeFH) - Cryptocurrency exchange market data feed handler * [hummingbot](http://hummingbot.io) - free [open source](https://github.com/CoinAlpha/hummingbot/) crypto trading bot that supports both DEXes and CEXes * [blackbird](https://github.com/butor/blackbird) - C++ trading system that does automatic long/short arbitrage between Bitcoin exchanges * [Peatio](https://www.peatio.tech) - An open-source crypto currency exchange on [github](https://github.com/peatio/peatio) * [Qt Bitcoin Trader](https://github.com/JulyIGHOR/QtBitcoinTrader) - Qt C++ Bitcoin trading * [ccxt](https://github.com/ccxt/ccxt) - A JavaScript / Python / PHP cryptocurrency trading library with support for more than 130 bitcoin/altcoin exchanges * [r2](https://github.com/bitrinjani/r2) - Qan automatic arbitrage trading system powered by Node.js + TypeScript * [bcoin](https://github.com/bcoin-org/bcoin) - Javascript bitcoin library for node.js and [browsers](https://bcoin.io/) * [XChange](https://github.com/knowm/XChange) - Java library providing a streamlined API for interacting with 60+ Bitcoin and Altcoin exchanges * [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++ * [freqtrade](https://github.com/freqtrade/freqtrade) - Simple High Frequency Trading Bot for crypto currencies * [Gekko](https://github.com/askmike/gekko) - A bitcoin trading bot written in node * [viabtc_exchange_server](https://github.com/viabtc/viabtc_exchange_server) - A trading engine with high-speed performance and real-time notification * [catalyst](https://github.com/enigmampc/catalyst) - An Algorithmic Trading Library for Crypto-Assets in Python [Enigma](https://enigma.co/) * [buttercoin](https://github.com/buttercoin/buttercoin) - Opensource Bitcoin Exchange Software * [zenbot](https://github.com/DeviaVir/zenbot) - A command-line cryptocurrency trading bot using Node.js and MongoDB. * [tribeca](https://github.com/michaelgrosner/tribeca) - A high frequency, market making cryptocurrency trading platform in node.js * [rbtc_arbitrage](https://github.com/hstove/rbtc_arbitrage) - A gem for automating arbitrage between Bitcoin exchanges. * [automated-trading](https://github.com/bevry-trading/automated-trading) - Automated Trading: Trading View Strategies => Bitfinex, itBit, DriveWealth * [gocryptotrader](https://github.com/thrasher-/gocryptotrader) - A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang * [btcrobot](https://github.com/philsong/btcrobot) - Golang bitcoin trading bot * [bitex](https://github.com/blinktrade/bitex) - Open Source Bitcoin Exchange; and its [front-end](https://github.com/blinktrade/frontend) * [cryptoworks](https://cryptoworks.co/) - A cryptocurrency arbitrage opportunity calculator. Over 800 currencies and 50 markets; [cryptocurrency-arbitrage](https://github.com/manu354/cryptocurrency-arbitrage) * [crypto-exchange](https://github.com/passabilities/crypto-exchange) - list of crypto exchanges to interact with their API's in a uniform fashion * [bitcoin-abe](https://github.com/bitcoin-abe/bitcoin-abe) - block browser for Bitcoin and similar currencies * [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 ## Companies Not trying to be exhaustive * [Sell Side](https://en.wikipedia.org/wiki/List_of_investment_banks) * [FIA PTG](http://www.marketswiki.com/wiki/Principal_Traders_Group) * [Allston Trading](http://www.marketswiki.com/wiki/Allston_Trading,_LLC) * [CTC](http://www.marketswiki.com/wiki/Chicago_Trading_Company) * [Citadel](https://en.wikipedia.org/wiki/Citadel_LLC) * [D.E. Shaw](https://en.wikipedia.org/wiki/D._E._Shaw_%26_Co.) * [DRW](http://www.marketswiki.com/wiki/DRW) * [Flow Traders](https://www.flowtraders.com/) * [GTS](http://www.gtsx.com/) * [HRT](https://en.wikipedia.org/wiki/Hudson_River_Trading) * [IMC](https://en.wikipedia.org/wiki/IMC_Financial_Markets) * [Infinium](http://www.marketswiki.com/wiki/Infinium_Capital_Management,_LLC) * [Jane Street](https://en.wikipedia.org/wiki/Jane_Street_Capital) * [Jump Trading](http://www.marketswiki.com/wiki/Jump_Trading_LLC) * [Millennium](https://en.wikipedia.org/wiki/Millennium_Management,_LLC) * [Optiver](https://en.wikipedia.org/wiki/Optiver) * [Quantlab Financial](https://www.quantlab.com/) * [Renaissance](https://en.wikipedia.org/wiki/Renaissance_Technologies) * [SIG](https://en.wikipedia.org/wiki/Susquehanna_International_Group) * [Tower Research](https://en.wikipedia.org/wiki/Tower_Research) * [Tradebot Systems](https://en.wikipedia.org/wiki/Tradebot) * [Two Sigma](https://en.wikipedia.org/wiki/Two_Sigma) * [Virtu Financial](https://en.wikipedia.org/wiki/Virtu_Financial) * [XR Trading](http://www.xrtrading.com/) * [XTX Markets](https://en.wikipedia.org/wiki/XTX_Markets) Commodity Focused * [Cargill](https://en.wikipedia.org/wiki/Cargill) * [Glencore](https://en.wikipedia.org/wiki/Glencore) * [Mercuria](https://en.wikipedia.org/wiki/Mercuria_Energy_Group) * [Trafigura](https://en.wikipedia.org/wiki/Trafigura) * [Vigor](https://en.wikipedia.org/wiki/Vitol) ## Fintech * [Knesho](https://www.kensho.com/) * [Symphony](https://en.wikipedia.org/wiki/Symphony_Communication) ## Websites Forums Blogs * [My Quant Blogs](https://letianquant.com/) - Personal blog for quant trading, portfolio management, and machine learning. * [Top Geeky Quant Blogs](https://alphaarchitect.com/2014/10/13/top-geeky-quant-blogs/#.VECOwfldV8E) - A quant blogs check out list * [Quantocracy](https://quantocracy.com/) - Aggregation of news on quants * [seekingalpha](https://seekingalpha.com/) - Seeking Alpha community * [Quantivity](https://quantivity.wordpress.com/) - quantitative and algorithmic trading * [Wilmott](https://www.wilmott.com/) - quantitative finance community forum * [Elitetrader](https://www.elitetrader.com/) - trading forum * [nuclearphynance](https://www.nuclearphynance.com/) - quantitative finance forum * [Investopedia](https://www.investopedia.com/) - The Encyclopedia of investments * [Quantpedia](https://www.quantpedia.com/) - The Encyclopedia of Quantitative Trading Strategies * [EpChan](https://epchan.blogspot.com/) - Dr. Ernie Chan's blog * [Quantinsti](https://quantra.quantinsti.com/) - Quant Institute * [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) * [Algotrading 101](https://algotrading101.com/) - Algo trading 101 * [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) * [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). * [quantmod](https://www.quantmod.com/) - R modelling and trading framework * [r programming](http://www.r-programming.org/papers) - Guy Yollin's R backtesting * [Seer Trading](http://www.seertrading.com/) - R Backtest and live trading * [Trading with Python](https://tradingwithpython.blogspot.com/) * [python programming finance](https://pythonprogramming.net/finance-tutorials/) - python finance tutorial and quantopian toturial * [python for finance](https://www.pythonforfinance.net/) - python finance * [Quant Econ](https://quantecon.org/) - open source python and julia codes for economic modeling; and lectures * [JuliaQuant](https://github.com/JuliaQuant) - Quantitative Finance in Julia * [Portfolio Effect](https://www.portfolioeffect.com/) - real time portfolio and risk management * [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). * [hpc quantlib](https://hpcquantlib.wordpress.com/) - HPC + QuantLib * [Quant Corner](https://quantcorner.wordpress.com/) * [quantstrat trader](https://quantstrattrader.wordpress.com/) - Backtesting trading ideas with R [QuantStrat](https://github.com/R-Finance/quantstrat) package * [Backtesting Strategies](https://timtrice.github.io/backtesting-strategies/) - Backtesting in R; codes at [Github](https://github.com/timtrice/backtesting-strategies) * [The Quant MBA](https://thequantmba.wordpress.com/) - good quant blog * [Foss Trading](http://blog.fosstrading.com/) - Algorithmic trading with free open source software * [Gekko Quant](http://gekkoquant.com/) - Quantitative Trading * [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) * [Quantifiable Edges](https://quantifiableedges.com/blog/)/[old version](https://quantifiableedges.blogspot.com/) - Assessing market action with indicators and history * [My Simple Quant](http://mysimplequant.blogspot.com/) - Market analysis utilizing historical, back-tessted data * [Vix and more](https://vixandmore.blogspot.com/) - discussions on Vix * [Timely Portfolio](https://timelyportfolio.blogspot.com/) - Strategies and tests in R * [Quantitative Research and Trading](https://jonathankinlay.com/) * [Qusma](https://qusma.com/) - Quantitative Systematic Market Analysis * [return and risk](http://www.returnandrisk.com/) - Quantitative finance, analysis, and applications * [Physics of Finance](https://physicsoffinance.blogspot.com/) - Inspiration from physics for thinking about economics, finance and social systems * [Quantum Financier](https://quantumfinancier.wordpress.com/) - algorithmic trading * [Trading the Odds](http://www.tradingtheodds.com/) -- market timing & quantitative analysis * [CSSA](https://cssanalytics.wordpress.com/) - new concepts in quantitative research * [The Practical Quant](https://practicalquant.blogspot.com/) * [Tr8dr](https://tr8dr.github.io/) - strategies, statistics, computer science, numerical techniques * [Deniz's Note](https://denizstij.blogspot.com/) - blog of a quant Deniz Turan * [Quant at risk](http://www.quantatrisk.com/) - quantitative analysis and risk management * [The R Trader](https://www.thertrader.com/) - Using R in quant finance * [rbresearch](https://rbresearch.wordpress.com/) - Using R for trading strategy ideas in FX and equity markets * [NaN Quantivity](https://quantlife.wordpress.com/) - quant trading, statistical learning, coding and brainstorming * [Factor Investing](https://factorinvestingtutorial.wordpress.com/) - blog on wordpress * [Meb Faber Research](https://mebfaber.com/) * [Big Mike Trading](https://www.youtube.com/user/BigMikeTrading/videos) - Youtube chanel in quant trading * [Mechanical Markets](https://mechanicalmarkets.wordpress.com/) * [Humble Student of the Markets](https://humblestudentofthemarkets.blogspot.com/) * [Predict Stock Prices Using RNN](https://lilianweng.github.io/lil-log/2017/07/08/predict-stock-prices-using-RNN-part-1.html)