{chore: autopublish 2021-04-15T01:24:54Z}

2026-08-25 08:48:04 +00:00 · 2021-04-15 01:24:54 +00:00
parent 5015a3489d
commit 720b7d9f09
1 changed files with 246 additions and 242 deletions
@@ -1,242 +1,246 @@
 name,url,comment,category,last_update,star_count,fork_count,contributors_count,created_at,last_commit,repo_path,repo_status,rating,finml_added_date
 Venture Capital NN,https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring,Cox-PH neural network predictions for VC/innovations finance research.,Alternative Finance,,,,,,,tr7200/National-Culture-and-Venture-Capital-Monitoring,,,
-Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,11/26/20 3:34,8,6,2,1/27/16 21:13,3/14/16 20:03,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,,
+Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,11/26/20 3:34,8.0,6.0,2.0,1/27/16 21:13,3/14/16 20:03,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,,
-VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,10/6/20 20:56,2,1,1,3/29/18 23:31,3/29/18 23:33,fionawhitefield/venture-capital-ols,inactive,,
+VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,10/6/20 20:56,2.0,1.0,1.0,3/29/18 23:31,3/29/18 23:33,fionawhitefield/venture-capital-ols,inactive,,
-Watch Valuation,https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb,Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.,Alternative Finance,1/14/21 22:41,4,2,1,2/8/17 18:39,4/27/17 22:55,alporter08/Luxury-Watch-Valuation,inactive,,
+Watch Valuation,https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb,Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.,Alternative Finance,1/14/21 22:41,4.0,2.0,1.0,2/8/17 18:39,4/27/17 22:55,alporter08/Luxury-Watch-Valuation,inactive,,
-Art Valuation,https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb,Art evaluation analytics.,Alternative Finance,2/26/21 12:10,9,5,1,12/11/14 0:25,12/12/14 21:25,ahmedhosny/theGreenCanvas,inactive,,
+Art Valuation,https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb,Art evaluation analytics.,Alternative Finance,2/26/21 12:10,9.0,5.0,1.0,12/11/14 0:25,12/12/14 21:25,ahmedhosny/theGreenCanvas,inactive,,
-Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2/6/21 7:38,12,7,2,9/5/16 19:12,4/24/17 10:48,nud3l/dInvest,inactive,,
+Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2/6/21 7:38,12.0,7.0,2.0,9/5/16 19:12,4/24/17 10:48,nud3l/dInvest,inactive,,
-Venture Capital,https://github.com/julian-chan/etothex,Insight into a new founder to make data-driven investment decisions.,Alternative Finance,10/6/20 20:56,3,2,1,12/4/17 8:59,12/13/17 5:35,julian-chan/etothex,inactive,,
+Venture Capital,https://github.com/julian-chan/etothex,Insight into a new founder to make data-driven investment decisions.,Alternative Finance,10/6/20 20:56,3.0,2.0,1.0,12/4/17 8:59,12/13/17 5:35,julian-chan/etothex,inactive,,
-Kiva Crowdfunding,https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb,Exploratory data analysis.,Alternative Finance,2/19/21 13:40,5,1,1,2/27/18 16:46,2/13/19 0:15,CJL89/Kiva-Crowdfunding,inactive,,
+Kiva Crowdfunding,https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb,Exploratory data analysis.,Alternative Finance,2/19/21 13:40,5.0,1.0,1.0,2/27/18 16:46,2/13/19 0:15,CJL89/Kiva-Crowdfunding,inactive,,
 Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,
 NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
 Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
 Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
 Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
 NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
-ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,4/5/21 13:37,34,32,1,1/24/19 2:55,1/3/20 21:54,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
+Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
-Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,4/12/21 0:49,121,110,3,8/20/18 14:10,1/15/21 8:57,PacktPublishing/Hands-on-Python-for-Finance,active,,
+Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
-Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,11/12/20 0:49,6,5,3,10/3/18 16:26,12/13/18 8:04,andrey-lukyanov/Risk-Management,inactive,,
+NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
-Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,3/31/21 2:09,10,8,1,5/6/17 2:39,6/21/17 4:04,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
+Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,Colleges Centers and Departments,,,,,,,,,,
-Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,3/23/21 6:32,9,5,1,8/2/17 21:52,8/17/17 3:24,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
+Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
-Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,4/12/21 16:18,3842,1225,8,5/9/18 12:33,4/10/21 22:21,stefan-jansen/machine-learning-for-trading,active,,
+Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,3/12/21 11:02,64.0,25.0,1.0,10/29/17 20:34,1/22/19 6:56,JCreeks/Machine-Learning-in-Finance,inactive,,
-Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,3/12/21 11:02,64,25,1,10/29/17 20:34,1/22/19 6:56,JCreeks/Machine-Learning-in-Finance,inactive,,
+Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,1/14/21 18:01,69.0,63.0,6.0,1/25/15 21:10,3/25/20 4:24,yadongli/nyumath2048,active,,
-Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,3/31/21 2:08,16,15,4,12/12/17 11:54,2/25/20 20:31,siaen/python_finance_course,active,,
+Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,3/31/21 2:08,4.0,4.0,1.0,8/24/17 0:11,10/13/17 1:32,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
-Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,3/31/21 2:08,4,4,1,8/24/17 0:11,10/13/17 1:32,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
+Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,3/31/21 2:08,16.0,15.0,4.0,12/12/17 11:54,2/25/20 20:31,siaen/python_finance_course,active,,
-Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,1/14/21 18:01,69,63,6,1/25/15 21:10,3/25/20 4:24,yadongli/nyumath2048,active,,
+Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,4/12/21 16:18,3842.0,1225.0,8.0,5/9/18 12:33,4/10/21 22:21,stefan-jansen/machine-learning-for-trading,active,,
-Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,4/10/21 17:19,577,184,2,2/19/19 19:02,7/22/20 16:48,firmai/business-machine-learning,active,,
+ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,4/5/21 13:37,34.0,32.0,1.0,1/24/19 2:55,1/3/20 21:54,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
-Open Edgar,https://github.com/LexPredict/openedgar,,Data,4/9/21 12:15,169,61,6,5/7/18 15:32,5/15/19 8:32,LexPredict/openedgar,active,,
+Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,3/31/21 2:09,10.0,8.0,1.0,5/6/17 2:39,6/21/17 4:04,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
-Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
+Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,11/12/20 0:49,6.0,5.0,3.0,10/3/18 16:26,12/13/18 8:04,andrey-lukyanov/Risk-Management,inactive,,
-IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
+Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,4/12/21 0:49,121.0,110.0,3.0,8/20/18 14:10,1/15/21 8:57,PacktPublishing/Hands-on-Python-for-Finance,active,,
-EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,1/23/21 19:22,11,10,1,6/11/18 22:51,7/10/18 18:03,TiesdeKok/UW_Python_Camp,inactive,,
+Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,3/23/21 6:32,9.0,5.0,1.0,8/2/17 21:52,8/17/17 3:24,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
 SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2/27/21 6:34,9,6,1,6/16/18 14:30,6/16/18 17:23,healthgradient/sec-doc-info-extraction,inactive,,
 Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2/27/21 3:33,10,2,1,6/26/18 23:33,8/14/18 1:31,healthgradient/sec_employee_information_extraction,inactive,,
 Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
 https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
 Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
 https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
 http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
 https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,3/26/21 22:35,7,5,1,5/10/17 21:49,8/6/17 19:23,timestocome/StockMarketData,inactive,,
 Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
-CryptoNets,https://github.com/microsoft/CryptoNets,NEW,Data Processing Techniques and Transformations,4/8/21 1:07,154,42,4,6/2/19 5:48,9/12/19 13:03,microsoft/CryptoNets,active,,12:49.2
+https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,3/26/21 22:35,7.0,5.0,1.0,5/10/17 21:49,8/6/17 19:23,timestocome/StockMarketData,inactive,,
-Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises too Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,4/12/21 2:20,973,435,4,4/25/18 17:22,1/16/20 17:25,BlackArbsCEO/Adv_Fin_ML_Exercises,active,,
+http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
-finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,NEW,Data Processing Techniques and Transformations,1/21/21 0:29,72,53,5,9/26/16 19:42,1/20/21 23:07,mapr-demos/finserv-application-blueprint,active,,12:49.2
+Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
 Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
 https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
 SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2/27/21 6:34,9.0,6.0,1.0,6/16/18 14:30,6/16/18 17:23,healthgradient/sec-doc-info-extraction,inactive,,
 EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,1/23/21 19:22,11.0,10.0,1.0,6/11/18 22:51,7/10/18 18:03,TiesdeKok/UW_Python_Camp,inactive,,
 IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
 Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2/27/21 3:33,10.0,2.0,1.0,6/26/18 23:33,8/14/18 1:31,healthgradient/sec_employee_information_extraction,inactive,,
 Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
 Open Edgar,https://github.com/LexPredict/openedgar,,Data,4/9/21 12:15,169.0,61.0,6.0,5/7/18 15:32,5/15/19 8:32,LexPredict/openedgar,active,,
 Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,4/10/21 17:19,577.0,184.0,2.0,2/19/19 19:02,7/22/20 16:48,firmai/business-machine-learning,active,,
 Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,NEW,Data Processing Techniques and Transformations,12/20/20 8:39,70.0,10.0,1.0,7/23/17 2:59,7/23/17 3:10,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,,12:49.2
 cointrader,https://github.com/timolson/cointrader,NEW,Data Processing Techniques and Transformations,4/10/21 17:16,339.0,140.0,9.0,6/1/14 1:14,10/22/20 0:24,timolson/cointrader,active,,12:49.2
 Advanced ML II,https://github.com/hudson-and-thames/research,More implementations of Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,,,,,,,hudson-and-thames/research,,,
-cointrader,https://github.com/timolson/cointrader,NEW,Data Processing Techniques and Transformations,4/10/21 17:16,339,140,9,6/1/14 1:14,10/22/20 0:24,timolson/cointrader,active,,12:49.2
+Twitter-Trends,https://github.com/Medha11/Twitter-Trends,NEW,Data Processing Techniques and Transformations,2/7/21 9:16,66.0,21.0,1.0,5/22/17 17:07,5/23/17 8:06,Medha11/Twitter-Trends,inactive,,12:49.2
-Twitter-Trends,https://github.com/Medha11/Twitter-Trends,NEW,Data Processing Techniques and Transformations,2/7/21 9:16,66,21,1,5/22/17 17:07,5/23/17 8:06,Medha11/Twitter-Trends,inactive,,12:49.2
+Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises too Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,4/12/21 2:20,973.0,435.0,4.0,4/25/18 17:22,1/16/20 17:25,BlackArbsCEO/Adv_Fin_ML_Exercises,active,,
-Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,NEW,Data Processing Techniques and Transformations,12/20/20 8:39,70,10,1,7/23/17 2:59,7/23/17 3:10,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,,12:49.2
+CryptoNets,https://github.com/microsoft/CryptoNets,NEW,Data Processing Techniques and Transformations,4/8/21 1:07,154.0,42.0,4.0,6/2/19 5:48,9/12/19 13:03,microsoft/CryptoNets,active,,12:49.2
-Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,4/10/21 6:06,175,67,1,7/12/16 12:56,2/16/18 2:43,LiamConnell/deep-algotrading,inactive,3,
+finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,NEW,Data Processing Techniques and Transformations,1/21/21 0:29,72.0,53.0,5.0,9/26/16 19:42,1/20/21 23:07,mapr-demos/finserv-application-blueprint,active,,12:49.2
-Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman),Deep Learning And Reinforcement Learning,4/10/21 13:17,138,66,1,5/11/18 0:52,10/26/19 14:22,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3,3/31/21 8:00
+RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0,
-trading-rl,https://github.com/Kostis-S-Z/trading-rl,Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained,Deep Learning And Reinforcement Learning,4/10/21 4:59,180,38,2,4/22/19 10:03,9/28/20 9:07,Kostis-S-Z/trading-rl,active,3,3/31/21 8:00
+a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,4/10/21 12:49,311.0,98.0,1.0,6/4/18 15:30,5/23/20 14:47,evgps/a3c_trading,active,,39:11.1
-Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,4/9/21 10:39,1266,675,1,6/18/16 18:23,8/7/18 15:24,Rachnog/Deep-Trading,inactive,5,
+Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,4/10/21 8:00,507.0,147.0,3.0,6/13/17 13:14,7/10/17 8:09,thedimlebowski/Trading-Gym,inactive,,39:11.1
-Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)),Deep Learning And Reinforcement Learning,4/12/21 13:54,3655,1542,2,12/18/17 10:49,1/5/21 10:31,huseinzol05/Stock-Prediction-Models,active,5,3/31/21 8:00
+pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,4/4/21 23:47,110.0,41.0,2.0,9/7/18 7:51,5/13/20 5:06,wywongbd/pairstrade-fyp-2019,active,,39:11.1
-ARIMA-LTSM Hybrid,https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,Hybrid model to predict future price correlation coefficients of two assets.,Deep Learning And Reinforcement Learning,4/11/21 4:12,222,86,1,8/5/18 2:13,10/1/18 11:25,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3,
+rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,4/8/21 15:34,207.0,89.0,1.0,5/29/17 22:19,8/29/17 14:54,ucaiado/rl_trading,inactive,,39:11.1
-RLTrader,https://github.com/notadamking/RLTrader,predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc.,Deep Learning And Reinforcement Learning,4/12/21 2:50,1312,451,15,4/27/19 18:35,10/17/19 16:25,notadamking/RLTrader,active,5,3/31/21 8:00
+awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes,Deep Learning And Reinforcement Learning,4/11/21 9:02,551.0,140.0,1.0,11/26/18 3:23,1/1/21 9:41,cbailes/awesome-deep-trading,active,4.0,3/31/21 8:00
-Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,4/3/21 11:59,489,176,2,9/10/18 6:34,11/21/18 7:39,VivekPa/IntroNeuralNetworks,inactive,4,
+Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,3/30/21 9:11,175.0,98.0,1.0,6/26/18 4:30,9/23/18 16:50,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
-LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,4/12/21 2:39,1207,370,2,10/7/18 3:58,8/3/19 9:00,VivekPa/AIAlpha,active,4,
+maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,4/12/21 2:22,386.0,66.0,17.0,12/27/19 6:48,4/7/21 15:49,microsoft/maro,active,,39:11.1
-trading-bot,https://github.com/pskrunner14/trading-bot,Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python ,Deep Learning And Reinforcement Learning,4/11/21 5:10,292,143,1,8/13/18 10:44,1/23/20 4:41,pskrunner14/trading-bot,active,3,3/31/21 8:00
+TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,3/28/21 5:37,112.0,39.0,3.0,11/6/17 0:50,11/15/17 23:55,cove9988/TradingGym,inactive,,39:11.1
-DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. ,Deep Learning And Reinforcement Learning,3/8/21 13:09,266,145,1,8/21/17 16:00,8/21/17 17:23,sonaam1234/DeepLearningInFinance,inactive,3,3/31/21 8:00
+RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,4/9/21 5:01,277.0,92.0,1.0,4/5/18 5:42,8/13/18 4:18,yuriak/RLQuant,inactive,,39:11.1
-FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,4/12/21 12:45,1857,447,22,7/26/20 13:18,4/11/21 22:02,AI4Finance-LLC/FinRL-Library,active,5,3/31/21 8:00
+QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,4/6/21 22:09,433.0,168.0,1.0,8/10/16 6:02,10/15/16 2:36,ucaiado/QLearning_Trading,inactive,,39:11.1
-Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,4/3/21 22:50,141,42,2,5/19/19 22:20,9/27/20 19:22,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3,3/31/21 8:00
+RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,4/5/21 11:42,142.0,55.0,1.0,10/21/16 2:47,4/7/17 8:11,jjakimoto/DQN,inactive,,
-Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,"notebooks containing experiments based on Lopez de Prado book ""Advances in financial machine learning"". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. ",Deep Learning And Reinforcement Learning,3/30/21 7:29,319,158,2,2/16/19 21:18,11/29/20 20:12,Rachnog/Advanced-Deep-Trading,active,3,3/31/21 8:00
+RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,4/11/21 20:21,1340.0,489.0,3.0,6/11/16 7:27,1/22/18 14:35,deependersingla/deep_trader,inactive,3.0,
-Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,4/12/21 16:24,560,249,6,7/26/20 13:12,1/21/21 18:11,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4,3/31/21 8:00
+gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,4/12/21 9:06,581.0,195.0,2.0,12/9/16 20:46,12/24/17 15:34,hackthemarket/gym-trading,inactive,,39:11.1
-AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,3/24/21 1:11,134,51,2,2/23/19 12:01,2/25/20 18:16,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3,3/31/21 8:00
+Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,4/10/21 4:53,136.0,56.0,1.0,6/9/19 22:50,1/3/20 15:36,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
-deep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning And Reinforcement Learning,4/10/21 7:09,235,108,1,2/25/18 17:41,12/1/20 22:06,golsun/deep-RL-trading,active,3,3/31/21 8:00
+RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,4/3/21 20:48,576.0,203.0,1.0,9/21/17 17:05,4/13/18 16:33,samre12/deep-trading-agent,inactive,3.0,
-Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,3/24/21 14:45,427,154,2,12/12/16 2:15,3/4/17 8:37,keon/deepstock,inactive,4,
+TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,4/11/21 20:20,841.0,237.0,2.0,5/1/17 13:53,2/14/18 13:58,Yvictor/TradingGym,inactive,,39:11.1
-Personae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning And Reinforcement Learning,4/11/21 20:20,1144,330,2,3/10/18 11:22,9/2/18 17:21,Ceruleanacg/Personae,inactive,5,3/31/21 8:00
+RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,4/8/21 18:57,33.0,8.0,5.0,1/16/19 0:43,3/19/20 20:28,gstenger98/rl-finance,active,2.0,
-Pair Trading RL,https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,Using deep actor-critic model to learn best strategies in pair trading.,Deep Learning And Reinforcement Learning,3/27/21 2:19,241,113,1,5/18/17 16:47,5/18/17 16:56,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3,
+RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,4/11/21 12:27,715.0,298.0,1.0,10/4/16 14:42,12/23/16 7:34,kh-kim/stock_market_reinforcement_learning,inactive,2.0,
-LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,3/29/21 23:59,11,6,1,5/13/18 2:39,2/25/19 0:26,RajatHanda/Finance-Forecasting,inactive,3,
+tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,4/12/21 16:05,3101.0,715.0,39.0,7/30/19 21:28,3/24/21 16:25,tensortrade-org/tensortrade,active,,39:11.1
-AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,4/12/21 15:42,2876,1384,1,1/9/19 8:02,2/11/19 16:32,borisbanushev/stockpredictionai,inactive,5,
+FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,4/13/21 14:37,1865.0,451.0,22.0,7/26/20 13:18,4/11/21 22:02,AI4Finance-LLC/FinRL,active,,13:03.7
-crypto-rl,https://github.com/sadighian/crypto-rl,Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process),Deep Learning And Reinforcement Learning,4/12/21 10:24,347,111,1,6/21/18 1:06,11/5/20 11:08,sadighian/crypto-rl,active,3,3/31/21 8:00
+Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade,Deep Learning And Reinforcement Learning,4/12/21 2:58,275.0,99.0,1.0,9/29/18 23:38,3/18/21 3:16,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3.0,3/31/21 8:00
-Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,4/9/21 20:38,1467,416,1,3/9/17 6:11,3/19/17 7:42,achillesrasquinha/bulbea,inactive,5,
+DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,4/7/21 12:42,136.0,49.0,4.0,9/19/18 3:17,11/26/20 16:58,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3.0,3/31/21 8:00
-BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning And Reinforcement Learning,4/6/21 2:06,289,128,3,3/10/17 10:52,6/11/18 8:07,PiSimo/BitcoinForecast,inactive,3,3/31/21 8:00
+BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,RNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model ,Deep Learning And Reinforcement Learning,4/6/21 2:06,289.0,128.0,3.0,3/10/17 10:52,6/11/18 8:07,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00
-Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgrade,Deep Learning And Reinforcement Learning,4/12/21 2:58,275,99,1,9/29/18 23:38,3/18/21 3:16,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3,3/31/21 8:00
+DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,Based on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. ,Deep Learning And Reinforcement Learning,3/8/21 13:09,266.0,145.0,1.0,8/21/17 16:00,8/21/17 17:23,sonaam1234/DeepLearningInFinance,inactive,3.0,3/31/21 8:00
-awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes,Deep Learning And Reinforcement Learning,4/11/21 9:02,551,140,1,11/26/18 3:23,1/1/21 9:41,cbailes/awesome-deep-trading,active,4,3/31/21 8:00
+crypto-rl,https://github.com/sadighian/crypto-rl,Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process),Deep Learning And Reinforcement Learning,4/12/21 10:24,347.0,111.0,1.0,6/21/18 1:06,11/5/20 11:08,sadighian/crypto-rl,active,3.0,3/31/21 8:00
-a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,4/10/21 12:49,311,98,1,6/4/18 15:30,5/23/20 14:47,evgps/a3c_trading,active,,39:11.1
+Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,4/10/21 6:06,175.0,67.0,1.0,7/12/16 12:56,2/16/18 2:43,LiamConnell/deep-algotrading,inactive,3.0,
-Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,4/10/21 8:00,507,147,3,6/13/17 13:14,7/10/17 8:09,thedimlebowski/Trading-Gym,inactive,,39:11.1
+Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,Deep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman),Deep Learning And Reinforcement Learning,4/10/21 13:17,138.0,66.0,1.0,5/11/18 0:52,10/26/19 14:22,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3.0,3/31/21 8:00
-pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,4/4/21 23:47,110,41,2,9/7/18 7:51,5/13/20 5:06,wywongbd/pairstrade-fyp-2019,active,,39:11.1
+Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,4/9/21 20:38,1467.0,416.0,1.0,3/9/17 6:11,3/19/17 7:42,achillesrasquinha/bulbea,inactive,5.0,
-rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,4/8/21 15:34,207,89,1,5/29/17 22:19,8/29/17 14:54,ucaiado/rl_trading,inactive,,39:11.1
+Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,4/9/21 10:39,1266.0,675.0,1.0,6/18/16 18:23,8/7/18 15:24,Rachnog/Deep-Trading,inactive,5.0,
-Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,3/30/21 9:11,175,98,1,6/26/18 4:30,9/23/18 16:50,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,inactive,,39:11.1
+Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,very good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert)),Deep Learning And Reinforcement Learning,4/12/21 13:54,3655.0,1542.0,2.0,12/18/17 10:49,1/5/21 10:31,huseinzol05/Stock-Prediction-Models,active,5.0,3/31/21 8:00
-maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,4/12/21 2:22,386,66,17,12/27/19 6:48,4/7/21 15:49,microsoft/maro,active,,39:11.1
+ARIMA-LTSM Hybrid,https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,Hybrid model to predict future price correlation coefficients of two assets.,Deep Learning And Reinforcement Learning,4/11/21 4:12,222.0,86.0,1.0,8/5/18 2:13,10/1/18 11:25,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0,
-TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,3/28/21 5:37,112,39,3,11/6/17 0:50,11/15/17 23:55,cove9988/TradingGym,inactive,,39:11.1
+RLTrader,https://github.com/notadamking/RLTrader,predecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc.,Deep Learning And Reinforcement Learning,4/12/21 2:50,1312.0,451.0,15.0,4/27/19 18:35,10/17/19 16:25,notadamking/RLTrader,active,5.0,3/31/21 8:00
-RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,4/9/21 5:01,277,92,1,4/5/18 5:42,8/13/18 4:18,yuriak/RLQuant,inactive,,39:11.1
+Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,4/3/21 11:59,489.0,176.0,2.0,9/10/18 6:34,11/21/18 7:39,VivekPa/IntroNeuralNetworks,inactive,4.0,
-RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4,
+LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,4/12/21 2:39,1207.0,370.0,2.0,10/7/18 3:58,8/3/19 9:00,VivekPa/AIAlpha,active,4.0,
-QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,4/6/21 22:09,433,168,1,8/10/16 6:02,10/15/16 2:36,ucaiado/QLearning_Trading,inactive,,39:11.1
+trading-bot,https://github.com/pskrunner14/trading-bot,Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python ,Deep Learning And Reinforcement Learning,4/11/21 5:10,292.0,143.0,1.0,8/13/18 10:44,1/23/20 4:41,pskrunner14/trading-bot,active,3.0,3/31/21 8:00
-DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,merged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQN,Deep Learning And Reinforcement Learning,4/7/21 12:42,136,49,4,9/19/18 3:17,11/26/20 16:58,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3,3/31/21 8:00
+trading-rl,https://github.com/Kostis-S-Z/trading-rl,Deep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintained,Deep Learning And Reinforcement Learning,4/10/21 4:59,180.0,38.0,2.0,4/22/19 10:03,9/28/20 9:07,Kostis-S-Z/trading-rl,active,3.0,3/31/21 8:00
-RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,4/11/21 20:21,1340,489,3,6/11/16 7:27,1/22/18 14:35,deependersingla/deep_trader,inactive,3,
+LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,3/29/21 23:59,11.0,6.0,1.0,5/13/18 2:39,2/25/19 0:26,RajatHanda/Finance-Forecasting,inactive,3.0,
-gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,4/12/21 9:06,581,195,2,12/9/16 20:46,12/24/17 15:34,hackthemarket/gym-trading,inactive,,39:11.1
+Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,inspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio stats,Deep Learning And Reinforcement Learning,4/3/21 22:50,141.0,42.0,2.0,5/19/19 22:20,9/27/20 19:22,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00
-Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,4/10/21 4:53,136,56,1,6/9/19 22:50,1/3/20 15:36,wai-i/Pair-Trading-Reinforcement-Learning,active,,39:11.1
+Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,"notebooks containing experiments based on Lopez de Prado book ""Advances in financial machine learning"". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. ",Deep Learning And Reinforcement Learning,3/30/21 7:29,319.0,158.0,2.0,2/16/19 21:18,11/29/20 20:12,Rachnog/Advanced-Deep-Trading,active,3.0,3/31/21 8:00
-RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,4/3/21 20:48,576,203,1,9/21/17 17:05,4/13/18 16:33,samre12/deep-trading-agent,inactive,3,
+Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.,Deep Learning And Reinforcement Learning,4/12/21 16:24,560.0,249.0,6.0,7/26/20 13:12,1/21/21 18:11,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4.0,3/31/21 8:00
-TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,4/11/21 20:20,841,237,2,5/1/17 13:53,2/14/18 13:58,Yvictor/TradingGym,inactive,,39:11.1
+AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,cornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the report,Deep Learning And Reinforcement Learning,3/24/21 1:11,134.0,51.0,2.0,2/23/19 12:01,2/25/20 18:16,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3.0,3/31/21 8:00
-RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,4/5/21 11:42,142,55,1,10/21/16 2:47,4/7/17 8:11,jjakimoto/DQN,inactive,,
+deep-RL-trading,https://github.com/golsun/deep-RL-trading,trading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916),Deep Learning And Reinforcement Learning,4/10/21 7:09,235.0,108.0,1.0,2/25/18 17:41,12/1/20 22:06,golsun/deep-RL-trading,active,3.0,3/31/21 8:00
-RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,4/8/21 18:57,33,8,5,1/16/19 0:43,3/19/20 20:28,gstenger98/rl-finance,active,2,
+Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,3/24/21 14:45,427.0,154.0,2.0,12/12/16 2:15,3/4/17 8:37,keon/deepstock,inactive,4.0,
-RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,4/11/21 12:27,715,298,1,10/4/16 14:42,12/23/16 7:34,kh-kim/stock_market_reinforcement_learning,inactive,2,
+Personae,https://github.com/Ceruleanacg/Personae,implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testing,Deep Learning And Reinforcement Learning,4/11/21 20:20,1144.0,330.0,2.0,3/10/18 11:22,9/2/18 17:21,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00
-tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,4/12/21 16:05,3101,715,39,7/30/19 21:28,3/24/21 16:25,tensortrade-org/tensortrade,active,,39:11.1
+Pair Trading RL,https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,Using deep actor-critic model to learn best strategies in pair trading.,Deep Learning And Reinforcement Learning,3/27/21 2:19,241.0,113.0,1.0,5/18/17 16:47,5/18/17 16:56,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0,
-FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,4/13/21 14:37,1865,451,22,7/26/20 13:18,4/11/21 22:02,AI4Finance-LLC/FinRL,active,,13:03.7
+AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,4/12/21 15:42,2876.0,1384.0,1.0,1/9/19 8:02,2/11/19 16:32,borisbanushev/stockpredictionai,inactive,5.0,
-huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,4/13/21 13:28,137,73,2,1/14/20 7:21,3/2/21 7:30,hbdmapi/huobi_futures_Python,active,,23:51.4
+FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,started by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading,Deep Learning And Reinforcement Learning,4/12/21 12:45,1857.0,447.0,22.0,7/26/20 13:18,4/11/21 22:02,AI4Finance-LLC/FinRL-Library,active,5.0,3/31/21 8:00
-algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,4/11/21 10:12,477,102,12,4/10/18 2:31,8/27/20 8:16,torreyleonard/algotrader,active,,23:51.4
+Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,4/7/21 19:21,79.0,78.0,1.0,10/21/16 4:12,2/22/21 13:32,yhilpisch/lvvd,active,,
-tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,4/13/21 20:12,649,161,13,4/3/20 21:19,4/12/21 3:12,alexgolec/tda-api,active,,23:51.4
+Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,1/12/21 12:22,17.0,12.0,1.0,1/29/18 5:01,8/2/18 5:56,chen-bowen/Computational_Finance,inactive,,
-optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,4/11/21 6:03,393,90,3,9/17/17 1:49,12/7/20 17:00,michaelchu/optopsy,active,,23:51.4
+gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,4/12/21 16:44,584.0,170.0,12.0,12/14/18 21:10,3/25/21 15:33,goldmansachs/gs-quant,active,,23:51.4
 trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,4/6/21 9:38,188,79,1,7/24/16 15:25,11/9/20 1:16,rburkholder/trade-frame,active,,23:51.4
 AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,4/9/21 18:12,168,54,1,3/14/19 9:33,2/3/21 22:29,JerBouma/AlgorithmicTrading,active,,23:51.4
 paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,4/4/21 4:52,175,48,3,7/6/17 2:04,4/8/18 18:37,philipodonnell/paperbroker,inactive,,23:51.4
 quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,4/13/21 23:14,1771,474,2,4/3/18 14:08,4/13/21 18:37,je-suis-tm/quant-trading,active,,23:51.4
 QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,4/13/21 7:58,259,134,13,8/22/13 14:51,3/2/21 18:39,amaggiulli/QLNet,active,,23:51.4
 Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,4/10/21 12:28,317,134,1,8/30/17 6:00,8/21/19 15:47,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
 StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,4/13/21 22:41,3924,1222,17,12/8/14 7:53,4/7/21 10:55,StockSharp/StockSharp,active,,23:51.4
 tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,4/13/21 22:49,2569,333,28,7/24/19 16:09,4/13/21 22:09,google/tf-quant-finance,active,,23:51.4
 tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,4/12/21 22:45,273,44,6,7/28/17 3:07,4/12/21 22:40,fremantle-industries/tai,active,,23:51.4
 trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,4/13/21 9:46,209,50,2,3/5/19 3:06,3/8/21 2:37,s-brez/trading-server,active,,23:51.4
 Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,4/12/21 6:32,607,217,39,6/16/14 11:45,4/12/21 6:32,OpenGamma/Strata,active,,23:51.4
 openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,4/3/21 9:17,160,82,2,5/28/13 14:46,3/24/17 20:00,mtompkins/openAlgo,inactive,,23:51.4
 Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,4/10/21 22:31,238,39,1,12/9/20 4:51,4/5/21 3:55,yugedata/Options_Data_Science,active,,23:51.4
 fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2/20/21 11:29,127,42,5,7/19/18 23:15,4/18/20 18:05,westonplatter/fast_arrow,active,,23:51.4
 Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,10/6/20 20:36,1,2,0,12/9/17 18:50,7/9/18 9:48,irajwani/numerical_methods_python,inactive,,
 MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,4/12/21 21:59,170,77,1,3/28/19 19:46,8/6/20 5:15,Poseyy/MarketAnalysis,active,,23:51.4
 gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,4/12/21 16:44,584,170,12,12/14/18 21:10,3/25/21 15:33,goldmansachs/gs-quant,active,,23:51.4
 Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,10/6/20 20:37,4,6,1,6/6/18 22:06,6/6/18 22:27,rstreppa/valuation-callables-HullWhite,inactive,,
 Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,,
-Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,4/6/21 20:49,8,8,1,2/9/16 5:30,4/6/21 20:49,broughtj/Fin6470,active,,
+Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,10/6/20 20:37,4.0,6.0,1.0,6/6/18 22:06,6/6/18 22:27,rstreppa/valuation-callables-HullWhite,inactive,,
-Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,1/12/21 12:22,17,12,1,1/29/18 5:01,8/2/18 5:56,chen-bowen/Computational_Finance,inactive,,
+Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,4/9/21 21:17,335.0,163.0,36.0,7/28/17 15:48,3/17/21 17:17,QuantConnect/Tutorials,active,,
-Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,4/7/21 19:21,79,78,1,10/21/16 4:12,2/22/21 13:32,yhilpisch/lvvd,active,,
+Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,4/6/21 20:49,8.0,8.0,1.0,2/9/16 5:30,4/6/21 20:49,broughtj/Fin6470,active,,
-Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,4/9/21 21:17,335,163,36,7/28/17 15:48,3/17/21 17:17,QuantConnect/Tutorials,active,,
+robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,4/13/21 23:48,1012.0,261.0,34.0,2/23/18 0:49,2/27/21 17:48,jmfernandes/robin_stocks,active,,23:51.4
-robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,4/13/21 23:48,1012,261,34,2/23/18 0:49,2/27/21 17:48,jmfernandes/robin_stocks,active,,23:51.4
+wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,4/13/21 22:00,570.0,125.0,2.0,1/20/16 22:03,8/9/19 23:14,mcdallas/wallstreet,active,,23:51.4
-Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2/27/21 8:50,2,3,1,5/22/18 18:27,5/22/18 18:30,rstreppa/valuation-OptionStrategies,inactive,,
+Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,10/6/20 20:37,1.0,3.0,1.0,5/18/18 18:08,9/21/18 19:59,rstreppa/valuation-convertibles-Goldman1994,inactive,,
-Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,4/12/21 14:39,388,299,1,7/9/15 12:27,2/22/21 13:29,yhilpisch/dawp,active,,
+Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,1/20/21 8:12,16.0,9.0,1.0,4/21/17 10:58,8/2/17 21:41,FinTechies/HedgingRL,inactive,,
-Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,10/6/20 20:37,1,3,1,5/18/18 18:08,9/21/18 19:59,rstreppa/valuation-convertibles-Goldman1994,inactive,,
+Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2/27/21 8:48,3.0,2.0,1.0,3/2/18 23:53,7/17/18 23:32,RobinsonGarcia/delta-hedging,inactive,,
-Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,1/20/21 8:12,16,9,1,4/21/17 10:58,8/2/17 21:41,FinTechies/HedgingRL,inactive,,
+akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,4/13/21 16:44,3374.0,681.0,11.0,10/1/19 7:34,4/13/21 11:18,jindaxiang/akshare,active,,23:51.4
-Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2/27/21 8:48,3,2,1,3/2/18 23:53,7/17/18 23:32,RobinsonGarcia/delta-hedging,inactive,,
+FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,4/13/21 2:33,595.0,68.0,1.0,1/28/21 18:36,4/8/21 11:10,JerBouma/FinanceDatabase,active,,23:51.4
-akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,4/13/21 16:44,3374,681,11,10/1/19 7:34,4/13/21 11:18,jindaxiang/akshare,active,,23:51.4
+Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,10/6/20 20:37,1.0,2.0,1.0,4/29/16 3:51,1/16/18 1:24,wanglouis49/risk_estimation,inactive,,
-wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,4/13/21 22:00,570,125,2,1/20/16 22:03,8/9/19 23:14,mcdallas/wallstreet,active,,23:51.4
+FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,4/10/21 22:50,441.0,73.0,6.0,10/27/19 15:04,3/11/21 21:40,domokane/FinancePy,active,,23:51.4
-FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,4/13/21 2:33,595,68,1,1/28/21 18:36,4/8/21 11:10,JerBouma/FinanceDatabase,active,,23:51.4
+Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2/27/21 8:50,2.0,3.0,1.0,5/22/18 18:27,5/22/18 18:30,rstreppa/valuation-OptionStrategies,inactive,,
-Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,10/6/20 20:37,1,2,1,4/29/16 3:51,1/16/18 1:24,wanglouis49/risk_estimation,inactive,,
+MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,4/12/21 21:59,170.0,77.0,1.0,3/28/19 19:46,8/6/20 5:15,Poseyy/MarketAnalysis,active,,23:51.4
-FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,4/10/21 22:50,441,73,6,10/27/19 15:04,3/11/21 21:40,domokane/FinancePy,active,,23:51.4
+Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,4/12/21 14:39,388.0,299.0,1.0,7/9/15 12:27,2/22/21 13:29,yhilpisch/dawp,active,,
-Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,4/10/21 17:02,713,275,2,11/9/14 4:49,12/3/18 16:30,rsvp/fecon235,inactive,,
+fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2/20/21 11:29,127.0,42.0,5.0,7/19/18 23:15,4/18/20 18:05,westonplatter/fast_arrow,active,,23:51.4
-Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,3/7/21 17:47,12,13,1,8/27/17 3:46,8/26/17 4:26,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
+huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,4/13/21 13:28,137.0,73.0,2.0,1/14/20 7:21,3/2/21 7:30,hbdmapi/huobi_futures_Python,active,,23:51.4
-Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2/3/21 7:22,9,4,1,12/20/18 0:21,3/26/19 11:51,pcmichaud/notebooks,inactive,,
+algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,4/11/21 10:12,477.0,102.0,12.0,4/10/18 2:31,8/27/20 8:16,torreyleonard/algotrader,active,,23:51.4
-Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,10/6/20 21:01,2,3,1,5/25/17 2:27,6/30/17 3:53,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
+tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,4/13/21 20:12,649.0,161.0,13.0,4/3/20 21:19,4/12/21 3:12,alexgolec/tda-api,active,,23:51.4
-Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,1/16/21 19:01,9,4,1,9/9/17 3:35,9/9/17 23:04,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
+optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,4/11/21 6:03,393.0,90.0,3.0,9/17/17 1:49,12/7/20 17:00,michaelchu/optopsy,active,,23:51.4
-Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,3/28/21 2:22,17,7,3,8/2/18 2:48,3/16/19 18:39,evijit/Finance_Graph_Theory,inactive,,
+trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,4/6/21 9:38,188.0,79.0,1.0,7/24/16 15:25,11/9/20 1:16,rburkholder/trade-frame,active,,23:51.4
-Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
+AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,4/9/21 18:12,168.0,54.0,1.0,3/14/19 9:33,2/3/21 22:29,JerBouma/AlgorithmicTrading,active,,23:51.4
-Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,10/6/20 21:01,1,3,1,1/24/19 13:37,2/13/19 16:48,sarachmax/MarketCrashes_Prediction,inactive,,
+paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,4/4/21 4:52,175.0,48.0,3.0,7/6/17 2:04,4/8/18 18:37,philipodonnell/paperbroker,inactive,,23:51.4
-M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,12/21/20 14:42,3,3,1,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,inactive,,
+quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,4/13/21 23:14,1771.0,474.0,2.0,4/3/18 14:08,4/13/21 18:37,je-suis-tm/quant-trading,active,,23:51.4
-Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,12/21/20 14:42,3,3,1,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,inactive,,
+Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,10/6/20 20:36,1.0,2.0,0.0,12/9/17 18:50,7/9/18 9:48,irajwani/numerical_methods_python,inactive,,
-High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,3/22/21 2:19,24,17,2,7/6/16 20:32,6/9/18 10:53,cswaney/prickle,inactive,,
+Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,4/10/21 12:28,317.0,134.0,1.0,8/30/17 6:00,8/21/19 15:47,PyPatel/Options-Trading-Strategies-in-Python,active,,23:51.4
-Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,4/8/21 19:37,664,425,9,1/21/17 11:24,8/1/20 17:03,Auquan/Tutorials,active,,
+StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,4/13/21 22:41,3924.0,1222.0,17.0,12/8/14 7:53,4/7/21 10:55,StockSharp/StockSharp,active,,23:51.4
-Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,3/30/21 0:09,31,15,1,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,active,,
+tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,4/13/21 22:49,2569.0,333.0,28.0,7/24/19 16:09,4/13/21 22:09,google/tf-quant-finance,active,,23:51.4
-NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2/27/21 6:33,8,9,1,10/11/18 20:32,12/24/18 23:27,chen-bowen/Research_Documents_Curation_with_NLP,inactive,,
+tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,4/12/21 22:45,273.0,44.0,6.0,7/28/17 3:07,4/12/21 22:40,fremantle-industries/tai,active,,23:51.4
-Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,1/12/21 11:48,27,19,2,5/8/18 19:34,5/9/18 15:39,DLColumbia/DL_forFinance,inactive,,
+trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,4/13/21 9:46,209.0,50.0,2.0,3/5/19 3:06,3/8/21 2:37,s-brez/trading-server,active,,23:51.4
 Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,4/12/21 6:32,607.0,217.0,39.0,6/16/14 11:45,4/12/21 6:32,OpenGamma/Strata,active,,23:51.4
 openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,4/3/21 9:17,160.0,82.0,2.0,5/28/13 14:46,3/24/17 20:00,mtompkins/openAlgo,inactive,,23:51.4
 Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,4/10/21 22:31,238.0,39.0,1.0,12/9/20 4:51,4/5/21 3:55,yugedata/Options_Data_Science,active,,23:51.4
 QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,4/13/21 7:58,259.0,134.0,13.0,8/22/13 14:51,3/2/21 18:39,amaggiulli/QLNet,active,,23:51.4
 Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,10/26/20 0:55,3.0,1.0,1.0,3/12/19 21:11,3/12/19 22:09,shanemulqueen/python-finance-pca,inactive,,
 Real Estate Property Fraud,https://github.com/aviroop1/Real_Estate_Property_Fraud,Unsupervised fraud detection model that can identify likely candidates of fraud.,Extended Research,,,,,,,aviroop1/Real_Estate_Property_Fraud,,,
-Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,1/30/21 11:50,10,3,1,1/22/19 10:59,3/12/19 18:35,ryanholbrook/critical-transitions,inactive,,
+Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,1/30/21 11:50,10.0,3.0,1.0,1/22/19 10:59,3/12/19 18:35,ryanholbrook/critical-transitions,inactive,,
-Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,1/12/21 12:22,17,12,1,1/29/18 5:01,8/2/18 5:56,chen-bowen/Computational_Finance,inactive,,
+Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,1/12/21 12:22,17.0,12.0,1.0,1/29/18 5:01,8/2/18 5:56,chen-bowen/Computational_Finance,inactive,,
-Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,10/26/20 0:55,3,1,1,3/12/19 21:11,3/12/19 22:09,shanemulqueen/python-finance-pca,inactive,,
+HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,4/11/21 23:36,748.0,333.0,1.0,7/21/16 5:14,2/14/17 16:47,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
-Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,4/12/21 2:28,620,165,3,9/16/18 20:00,9/5/20 13:01,AlgoTraders/stock-analysis-engine,active,,
+Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,11/28/20 3:02,25.0,6.0,0.0,1/4/19 12:30,2/18/19 9:55,AlexIoannides/pymc-stochastic-process,inactive,,
-Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,11/28/20 3:02,25,6,0,1/4/19 12:30,2/18/19 9:55,AlexIoannides/pymc-stochastic-process,inactive,,
+Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2/19/21 13:40,8.0,9.0,1.0,1/29/18 5:14,7/19/18 6:25,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
-Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2/19/21 13:40,8,9,1,1/29/18 5:14,7/19/18 6:25,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,,
+Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,4/10/21 19:50,233.0,55.0,1.0,8/28/18 14:45,8/6/20 22:03,marketneutral/alphatools,active,,
-Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,4/10/21 19:50,233,55,1,8/28/18 14:45,8/6/20 22:03,marketneutral/alphatools,active,,
+Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,1/12/21 11:48,27.0,19.0,2.0,5/8/18 19:34,5/9/18 15:39,DLColumbia/DL_forFinance,inactive,,
-HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,4/11/21 23:36,748,333,1,7/21/16 5:14,2/14/17 16:47,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,inactive,,
+Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,4/12/21 2:28,620.0,165.0,3.0,9/16/18 20:00,9/5/20 13:01,AlgoTraders/stock-analysis-engine,active,,
-VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,3/20/21 21:53,41,28,1,8/6/18 16:09,11/22/20 19:02,hamaadshah/market_risk_gan_tensorflow,active,,
+Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,3/30/21 0:09,31.0,15.0,1.0,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,active,,
-Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,4/12/21 11:55,3673,1157,42,6/1/15 15:31,2/28/20 17:30,quantopian/pyfolio,active,,
+NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2/27/21 6:33,8.0,9.0,1.0,10/11/18 20:32,12/24/18 23:27,chen-bowen/Research_Documents_Curation_with_NLP,inactive,,
-simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,3/23/21 13:34,11,2,1,6/4/17 15:18,11/11/18 14:03,leolle/simulate,inactive,,23:57.7
+High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,3/22/21 2:19,24.0,17.0,2.0,7/6/16 20:32,6/9/18 10:53,cswaney/prickle,inactive,,
-TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,3/18/21 9:48,5,11,8,3/21/18 10:05,3/18/21 9:48,XinFinOrg/TradeFinexLive,active,,23:57.7
+Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,4/8/21 19:37,664.0,425.0,9.0,1/21/17 11:24,8/1/20 17:03,Auquan/Tutorials,active,,
-Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,11/27/20 19:23,8,2,1,8/3/19 4:04,8/3/19 4:05,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
+Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,4/10/21 17:02,713.0,275.0,2.0,11/9/14 4:49,12/3/18 16:30,rsvp/fecon235,inactive,,
-stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,3/21/21 8:50,8,5,1,4/10/18 5:15,4/10/18 5:28,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
+Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2/3/21 7:22,9.0,4.0,1.0,12/20/18 0:21,3/26/19 11:51,pcmichaud/notebooks,inactive,,
-Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,3/30/21 0:09,21,16,1,10/4/15 9:10,3/28/20 18:33,mrefermat/FinancePhD,active,,
+Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,10/6/20 21:01,2.0,3.0,1.0,5/25/17 2:27,6/30/17 3:53,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,inactive,,
-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,3/15/21 3:05,6,16,1,10/28/19 21:50,10/28/19 21:51,jettbrains/-L-,active,,23:57.7
+Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,1/16/21 19:01,9.0,4.0,1.0,9/9/17 3:35,9/9/17 23:04,SeanMcOwen/FinanceAndPython.com-CorporateFinance,inactive,,
-CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,3/1/21 13:53,31,18,1,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,inactive,,
+Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,3/7/21 17:47,12.0,13.0,1.0,8/27/17 3:46,8/26/17 4:26,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,,
-Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,4/6/21 17:03,140,62,2,9/12/17 13:35,8/6/20 12:35,PyDataBlog/Python-for-Data-Science,active,,
+Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
-AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,4/10/21 6:34,149,74,1,5/18/18 22:09,8/7/18 18:05,jerryxyx/AlphaTrading,inactive,,37:06.3
+Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,10/6/20 21:01,1.0,3.0,1.0,1/24/19 13:37,2/13/19 16:48,sarachmax/MarketCrashes_Prediction,inactive,,
-Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,11/4/20 7:04,4,5,1,8/7/17 14:44,8/8/17 22:52,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
+M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,12/21/20 14:42,3.0,3.0,1.0,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,inactive,,
-Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,4/9/21 8:12,1298,794,1,12/15/14 11:23,7/10/18 6:38,yhilpisch/py4fi,inactive,,
+Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,12/21/20 14:42,3.0,3.0,1.0,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,inactive,,
-Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,12/21/20 14:26,3,4,1,3/13/18 7:39,3/13/18 7:42,garvit-kudesia91/factor_analysis,inactive,,
+Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,3/28/21 2:22,17.0,7.0,3.0,8/2/18 2:48,3/16/19 18:39,evijit/Finance_Graph_Theory,inactive,,
-Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,4/10/21 12:58,1847,700,17,6/3/16 21:49,4/27/20 18:40,quantopian/alphalens,active,,
+Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,4/9/21 8:12,1298.0,794.0,1.0,12/15/14 11:23,7/10/18 6:38,yhilpisch/py4fi,inactive,,
-Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,3/1/21 13:53,31,18,1,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,inactive,,
+Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,3/30/21 0:09,31.0,15.0,1.0,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,active,,
-VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,3/31/21 2:06,10,9,1,11/15/16 19:24,1/14/17 21:19,willb/var-notebook,inactive,,
+Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,4/8/21 19:02,18.0,10.0,1.0,6/26/18 20:36,10/22/19 21:56,ssanderson/convex-optimization-for-finance,active,,
-Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,4/8/21 19:02,172,60,3,5/1/17 7:36,4/7/21 15:25,alpha-miner/alpha-mind,active,,
+Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,4/8/21 19:02,172.0,60.0,3.0,5/1/17 7:36,4/7/21 15:25,alpha-miner/alpha-mind,active,,
-Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,4/8/21 19:02,18,10,1,6/26/18 20:36,10/22/19 21:56,ssanderson/convex-optimization-for-finance,active,,
+VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,3/31/21 2:06,10.0,9.0,1.0,11/15/16 19:24,1/14/17 21:19,willb/var-notebook,inactive,,
-Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,3/30/21 0:09,31,15,1,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,active,,
+Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,3/1/21 13:53,31.0,18.0,1.0,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,inactive,,
-Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,3/26/21 8:37,129,64,2,3/18/18 4:54,2/28/20 11:43,Ronak-59/Stock-Prediction,active,,37:06.3
+Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,3/26/21 8:37,129.0,64.0,2.0,3/18/18 4:54,2/28/20 11:43,Ronak-59/Stock-Prediction,active,,37:06.3
-Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,10/6/20 20:55,1,2,1,2/2/19 8:44,5/3/19 17:16,hy-lei/math-finance-toolbox,active,,
+Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,4/10/21 12:58,1847.0,700.0,17.0,6/3/16 21:49,4/27/20 18:40,quantopian/alphalens,active,,
-Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,1/3/21 21:46,7,5,1,9/27/17 19:57,9/27/17 20:00,ishank011/gs-quantify-bond-prediction,inactive,,
+Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,12/21/20 14:26,3.0,4.0,1.0,3/13/18 7:39,3/13/18 7:42,garvit-kudesia91/factor_analysis,inactive,,
-Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,12/10/20 21:20,3,3,1,7/18/18 19:26,7/18/18 19:34,RobinsonGarcia/fixed-income,inactive,,
+Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,11/4/20 7:04,4.0,5.0,1.0,8/7/17 14:44,8/8/17 22:52,Jorgencr/Alternative-and-Responsible-Investments,inactive,,
-AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model,Other Models,4/4/21 20:02,576,130,3,2/14/16 0:47,2/8/21 21:35,ScottfreeLLC/AlphaPy,active,4,39:24.6
+stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,3/21/21 8:50,8.0,5.0,1.0,4/10/18 5:15,4/10/18 5:28,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7
-Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,4/10/21 13:38,1005,319,3,11/5/18 21:09,10/8/20 16:48,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5,39:24.6
+Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,4/6/21 17:03,140.0,62.0,2.0,9/12/17 13:35,8/6/20 12:35,PyDataBlog/Python-for-Data-Science,active,,
-MathAndScienceNotes,https://github.com/melling/MathAndScienceNotes,Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/),Other Models,4/12/21 0:49,460,54,1,3/11/16 19:13,12/21/20 3:54,melling/MathAndScienceNotes,active,3,39:24.6
+CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,3/1/21 13:53,31.0,18.0,1.0,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,inactive,,
-botflow,https://github.com/kkyon/botflow,python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago,Other Models,3/31/21 10:56,1165,102,8,8/20/18 3:13,5/23/19 14:40,kkyon/botflow,inactive,2,39:24.6
+-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,3/15/21 3:05,6.0,16.0,1.0,10/28/19 21:50,10/28/19 21:51,jettbrains/-L-,active,,23:57.7
-surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,4/12/21 12:27,1189,221,6,8/30/20 7:56,9/21/20 4:32,tradytics/surpriver,active,3,39:24.6
+Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,3/30/21 0:09,21.0,16.0,1.0,10/4/15 9:10,3/28/20 18:33,mrefermat/FinancePhD,active,,
-Pattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,NEW,Other Models,4/5/21 3:23,173,91,1,3/26/15 2:22,3/26/15 2:33,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,2,39:24.6
+Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,11/27/20 19:23,8.0,2.0,1.0,8/3/19 4:04,8/3/19 4:05,chaudharigauravi/Machine_learning_In_Finance,active,,23:57.7
-awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,NEW,Other Models,4/11/21 7:43,941,162,8,8/29/18 2:07,11/27/20 9:43,georgezouq/awesome-ai-in-finance,active,,39:24.6
+TradeFinexLive,https://github.com/XinFinOrg/TradeFinexLive,NEW,Factor and Risk Analysis,3/18/21 9:48,5.0,11.0,8.0,3/21/18 10:05,3/18/21 9:48,XinFinOrg/TradeFinexLive,active,,23:57.7
-Microservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System,NEW,Other Models,4/10/21 12:59,104,56,0,1/6/20 0:21,3/31/20 13:02,saeed349/Microservices-Based-Algorithmic-Trading-System,active,,39:24.6
+simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,3/23/21 13:34,11.0,2.0,1.0,6/4/17 15:18,11/11/18 14:03,leolle/simulate,inactive,,23:57.7
-Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,NEW,Other Models,4/11/21 6:02,172,94,5,12/6/18 11:35,1/18/21 6:40,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,,39:24.6
+Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,4/12/21 11:55,3673.0,1157.0,42.0,6/1/15 15:31,2/28/20 17:30,quantopian/pyfolio,active,,
-Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,NEW,Other Models,4/12/21 10:47,175,64,9,12/29/19 5:18,4/11/21 19:17,DaveSkender/Stock.Indicators,active,,39:24.6
+VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,3/20/21 21:53,41.0,28.0,1.0,8/6/18 16:09,11/22/20 19:02,hamaadshah/market_risk_gan_tensorflow,active,,
-finance_ml,https://github.com/jjakimoto/finance_ml,NEW,Other Models,4/8/21 15:28,282,117,1,6/29/18 21:21,2/18/19 12:34,jjakimoto/finance_ml,inactive,,39:24.6
+AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,4/10/21 6:34,149.0,74.0,1.0,5/18/18 22:09,8/7/18 18:05,jerryxyx/AlphaTrading,inactive,,37:06.3
-CryptoBot,https://github.com/AdeelMufti/CryptoBot,Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained,Other Models,3/25/21 9:17,234,94,1,1/17/17 12:44,1/17/17 12:48,AdeelMufti/CryptoBot,inactive,2,39:24.6
+market-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2020-06-22 10:58:20,25.0,20.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,2021-04-15 01:24:33.430516
-Machine-Learning-for-Finance,https://github.com/PacktPublishing/Machine-Learning-for-Finance,NEW,Other Models,4/8/21 16:54,180,122,4,3/15/18 6:28,1/14/21 15:58,PacktPublishing/Machine-Learning-for-Finance,active,,39:24.6
+woe,https://github.com/boredbird/woe,NEW,Fixed Income,2021-04-12 10:43:48,224.0,96.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,2021-04-15 01:24:33.430516
-Hands-On-Machine-Learning-for-Algorithmic-Trading,https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have,Other Models,4/12/21 15:41,600,386,2,5/7/19 11:04,1/19/21 7:51,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5,39:24.6
+Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,12/10/20 21:20,3.0,3.0,1.0,7/18/18 19:26,7/18/18 19:34,RobinsonGarcia/fixed-income,inactive,,
 MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2021-02-12 08:45:08,106.0,110.0,2.0,2014-07-03 05:45:54,2017-11-24 16:15:49,5mehulhelp5/MagentoExtensions,inactive,,2021-04-15 01:24:33.430516
 rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2021-01-23 06:27:24,26.0,13.0,1.0,2017-11-23 22:52:14,2017-12-03 20:42:49,govwiki/rating_history,inactive,,2021-04-15 01:24:33.430516
 Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,10/6/20 20:55,1.0,2.0,1.0,2/2/19 8:44,5/3/19 17:16,hy-lei/math-finance-toolbox,active,,
 Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,1/3/21 21:46,7.0,5.0,1.0,9/27/17 19:57,9/27/17 20:00,ishank011/gs-quantify-bond-prediction,inactive,,
 mlfinlab,https://github.com/hudson-and-thames/mlfinlab,NEW,Other Models,4/12/21 10:51,2295.0,709.0,3.0,2/13/19 16:57,4/12/21 10:50,hudson-and-thames/mlfinlab,active,,39:24.6
 stock-trading-ml,https://github.com/yacoubb/stock-trading-ml,NEW,Other Models,4/11/21 14:46,340.0,186.0,1.0,10/10/19 9:44,10/12/19 11:38,yacoubb/stock-trading-ml,active,,39:24.6
 ML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,NEW,Other Models,4/11/21 8:30,250.0,104.0,3.0,9/27/19 16:13,6/13/20 21:20,mfrdixon/ML_Finance_Codes,active,,39:24.6
 Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,Using python and scikit-learn to make stock predictions.,Other Models,4/11/21 10:00,931.0,347.0,2.0,2/12/17 4:50,2/4/21 3:48,robertmartin8/MachineLearningStocks,active,,
 mosquito,https://github.com/miro-ka/mosquito,NEW,Other Models,4/12/21 9:44,220.0,44.0,2.0,6/18/17 19:57,3/14/21 22:22,miro-ka/mosquito,active,,39:24.6
 Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,NEW,Other Models,4/8/21 20:01,279.0,126.0,4.0,11/15/19 8:51,1/21/21 7:56,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,,39:24.6
 Mixture  Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms.,Other Models,3/2/21 19:44,31.0,31.0,1.0,3/20/17 18:54,4/25/17 23:35,BlackArbsCEO/Mixture_Models,inactive,,
 Machine-Learning-For-Finance,https://github.com/anthonyng2/Machine-Learning-For-Finance,NEW,Other Models,4/1/21 20:11,205.0,119.0,1.0,7/11/17 9:09,2/21/18 5:36,anthonyng2/Machine-Learning-For-Finance,inactive,,39:24.6
 Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,NEW,Other Models,4/8/21 11:31,261.0,101.0,1.0,8/30/17 6:14,10/29/19 8:14,PyPatel/Machine-Learning-and-AI-in-Trading,active,,39:24.6
 Speculator,https://github.com/amicks/Speculator,NEW,Other Models,3/15/21 16:27,101.0,31.0,2.0,9/3/17 17:43,9/12/18 18:58,amicks/Speculator,inactive,,39:24.6
 Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts.,Other Models,4/5/21 23:36,383.0,127.0,1.0,7/22/18 8:14,2/17/21 14:39,Hvass-Labs/FinanceOps,active,,
 fin-ml,https://github.com/tatsath/fin-ml,NEW,Other Models,4/11/21 3:29,116.0,66.0,2.0,5/10/20 0:25,1/23/21 17:15,tatsath/fin-ml,active,,39:24.6
 AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though yaml file for all model process including feature selection/grid search on parameters and aggregate results for each model,Other Models,4/4/21 20:02,576.0,130.0,3.0,2/14/16 0:47,2/8/21 21:35,ScottfreeLLC/AlphaPy,active,4.0,39:24.6
 Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify  social/historical cues for short term stock movement.,Other Models,4/12/21 13:11,2166.0,678.0,1.0,9/12/16 18:38,8/29/18 20:27,anfederico/clairvoyant,inactive,,
 Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
-Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify  social/historical cues for short term stock movement.,Other Models,4/12/21 13:11,2166,678,1,9/12/16 18:38,8/29/18 20:27,anfederico/clairvoyant,inactive,,
+Hands-On-Machine-Learning-for-Algorithmic-Trading,https://github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,repo for book [hands-on-machine learning for algorithmic trading](https://www.packtpub.com/product/hands-on-machine-learning-for-algorithmic-trading/9781789346411) covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have,Other Models,4/12/21 15:41,600.0,386.0,2.0,5/7/19 11:04,1/19/21 7:51,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6
-Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,3/12/21 13:21,166,73,1,12/11/17 17:05,5/13/20 23:50,BlackArbsCEO/mixture_model_trading_public,active,,
+Machine-Learning-for-Finance,https://github.com/PacktPublishing/Machine-Learning-for-Finance,NEW,Other Models,4/8/21 16:54,180.0,122.0,4.0,3/15/18 6:28,1/14/21 15:58,PacktPublishing/Machine-Learning-for-Finance,active,,39:24.6
-fin-ml,https://github.com/tatsath/fin-ml,NEW,Other Models,4/11/21 3:29,116,66,2,5/10/20 0:25,1/23/21 17:15,tatsath/fin-ml,active,,39:24.6
+CryptoBot,https://github.com/AdeelMufti/CryptoBot,Hard fork of [bitpredit](https://github.com/cbyn/bitpredict) and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained,Other Models,3/25/21 9:17,234.0,94.0,1.0,1/17/17 12:44,1/17/17 12:48,AdeelMufti/CryptoBot,inactive,2.0,39:24.6
-Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts.,Other Models,4/5/21 23:36,383,127,1,7/22/18 8:14,2/17/21 14:39,Hvass-Labs/FinanceOps,active,,
+finance_ml,https://github.com/jjakimoto/finance_ml,NEW,Other Models,4/8/21 15:28,282.0,117.0,1.0,6/29/18 21:21,2/18/19 12:34,jjakimoto/finance_ml,inactive,,39:24.6
-Speculator,https://github.com/amicks/Speculator,NEW,Other Models,3/15/21 16:27,101,31,2,9/3/17 17:43,9/12/18 18:58,amicks/Speculator,inactive,,39:24.6
+Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,NEW,Other Models,4/12/21 10:47,175.0,64.0,9.0,12/29/19 5:18,4/11/21 19:17,DaveSkender/Stock.Indicators,active,,39:24.6
-Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,NEW,Other Models,4/8/21 11:31,261,101,1,8/30/17 6:14,10/29/19 8:14,PyPatel/Machine-Learning-and-AI-in-Trading,active,,39:24.6
+Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,NEW,Other Models,4/11/21 6:02,172.0,94.0,5.0,12/6/18 11:35,1/18/21 6:40,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,,39:24.6
-Machine-Learning-For-Finance,https://github.com/anthonyng2/Machine-Learning-For-Finance,NEW,Other Models,4/1/21 20:11,205,119,1,7/11/17 9:09,2/21/18 5:36,anthonyng2/Machine-Learning-For-Finance,inactive,,39:24.6
+Microservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System,NEW,Other Models,4/10/21 12:59,104.0,56.0,0.0,1/6/20 0:21,3/31/20 13:02,saeed349/Microservices-Based-Algorithmic-Trading-System,active,,39:24.6
-Mixture  Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms.,Other Models,3/2/21 19:44,31,31,1,3/20/17 18:54,4/25/17 23:35,BlackArbsCEO/Mixture_Models,inactive,,
+awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,NEW,Other Models,4/11/21 7:43,941.0,162.0,8.0,8/29/18 2:07,11/27/20 9:43,georgezouq/awesome-ai-in-finance,active,,39:24.6
-Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,NEW,Other Models,4/8/21 20:01,279,126,4,11/15/19 8:51,1/21/21 7:56,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,,39:24.6
+Pattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,NEW,Other Models,4/5/21 3:23,173.0,91.0,1.0,3/26/15 2:22,3/26/15 2:33,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,2.0,39:24.6
-mosquito,https://github.com/miro-ka/mosquito,NEW,Other Models,4/12/21 9:44,220,44,2,6/18/17 19:57,3/14/21 22:22,miro-ka/mosquito,active,,39:24.6
+surpriver,https://github.com/tradytics/surpriver,Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features using [ta](https://github.com/bukosabino/ta) library. Opensourced by [tradytics](https://tradytics.com/). Code structures are less extensible,Other Models,4/12/21 12:27,1189.0,221.0,6.0,8/30/20 7:56,9/21/20 4:32,tradytics/surpriver,active,3.0,39:24.6
-Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,Using python and scikit-learn to make stock predictions.,Other Models,4/11/21 10:00,931,347,2,2/12/17 4:50,2/4/21 3:48,robertmartin8/MachineLearningStocks,active,,
+Awesome-Quant-Machine-Learning-Trading,https://github.com/grananqvist/Awesome-Quant-Machine-Learning-Trading,curated list of books/online courses/youtube videos/blogs/interviews/papers/code etc. Updates are pretty infrequent,Other Models,4/10/21 13:38,1005.0,319.0,3.0,11/5/18 21:09,10/8/20 16:48,grananqvist/Awesome-Quant-Machine-Learning-Trading,active,5.0,39:24.6
-ML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,NEW,Other Models,4/11/21 8:30,250,104,3,9/27/19 16:13,6/13/20 21:20,mfrdixon/ML_Finance_Codes,active,,39:24.6
+MathAndScienceNotes,https://github.com/melling/MathAndScienceNotes,Collections of news/articles on various topics including quant trading and machine learning. Some articles are from [ycombinator message board](https://news.ycombinator.com/news) and [rediit algotrading forum](https://www.reddit.com/r/algotrading/),Other Models,4/12/21 0:49,460.0,54.0,1.0,3/11/16 19:13,12/21/20 3:54,melling/MathAndScienceNotes,active,3.0,39:24.6
-stock-trading-ml,https://github.com/yacoubb/stock-trading-ml,NEW,Other Models,4/11/21 14:46,340,186,1,10/10/19 9:44,10/12/19 11:38,yacoubb/stock-trading-ml,active,,39:24.6
+Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,3/12/21 13:21,166.0,73.0,1.0,12/11/17 17:05,5/13/20 23:50,BlackArbsCEO/mixture_model_trading_public,active,,
-mlfinlab,https://github.com/hudson-and-thames/mlfinlab,NEW,Other Models,4/12/21 10:51,2295,709,3,2/13/19 16:57,4/12/21 10:50,hudson-and-thames/mlfinlab,active,,39:24.6
+botflow,https://github.com/kkyon/botflow,python dataflow programming framework. Similar and probably replaceable by sklearn.pipeline module. Uses [graphviz](https://graphviz.org/) for visiualization though not maintained with last commit over 3 years ago,Other Models,3/31/21 10:56,1165.0,102.0,8.0,8/20/18 3:13,5/23/19 14:40,kkyon/botflow,inactive,2.0,39:24.6
 Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
 Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
 Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
 Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,
-Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
+riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,4/11/21 9:40,124.0,31.0,2.0,7/13/19 21:30,1/30/21 1:53,dppalomar/riskparity.py,active,,37:19.5
-Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,4/9/21 10:41,1281,629,6,11/12/17 16:08,5/9/19 9:50,ZhengyaoJiang/PGPortfolio,active,,
+Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,4/9/21 10:41,1281.0,629.0,6.0,11/12/17 16:08,5/9/19 9:50,ZhengyaoJiang/PGPortfolio,active,,
 riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,4/11/21 9:40,124,31,2,7/13/19 21:30,1/30/21 1:53,dppalomar/riskparity.py,active,,37:19.5
 OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,4/8/21 19:07,7,4,1,7/26/16 16:20,12/30/16 11:40,charlessutton/OLMAR,inactive,,
 Online Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,
 Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,4/12/21 12:25,371,62,1,3/2/20 19:49,4/1/21 3:50,dcajasn/Riskfolio-Lib,active,,37:19.5
 Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,3/30/21 0:01,104,57,1,2/17/18 8:19,2/27/18 13:16,tthustla/efficient_frontier,inactive,,
 Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,4/6/21 11:47,105,57,1,2/10/17 9:03,3/8/18 16:47,tcloaa/Deep-Portfolio-Theory,inactive,,
 PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,4/12/21 11:54,1895,479,16,5/29/18 13:30,2/25/21 13:01,robertmartin8/PyPortfolioOpt,active,,
 node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,4/5/21 8:01,101,26,3,9/17/11 17:49,4/5/21 8:01,albertosantini/node-finance,active,,37:19.5
 Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,3/29/21 3:47,364,150,1,10/7/17 9:14,6/26/18 9:22,filangelos/qtrader,inactive,,
 DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,4/7/21 6:57,311,58,2,2/2/20 8:46,2/16/21 18:50,jankrepl/deepdow,active,,
 Distribution Characteristic Optimisation,https://github.com/VivekPa/OptimalPortfolio,Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.,Portfolio Selection and Optimisation,4/12/21 13:10,232,82,3,11/16/18 12:20,7/4/19 1:41,VivekPa/OptimalPortfolio,active,,
 401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,12/25/20 9:39,14,5,1,8/1/18 19:48,9/5/19 11:18,otosman/Python-for-Finance,active,,
 Modern Portfolio Theory,https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb,Universal portfolios; modern portfolio theory.,Portfolio Selection and Optimisation,,,,,,,,,,
-Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,3/31/21 23:48,48,27,1,6/23/17 0:05,1/26/19 3:35,EricHe98/Financial-Statements-Text-Analysis,inactive,,
+401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,12/25/20 9:39,14.0,5.0,1.0,8/1/18 19:48,9/5/19 11:18,otosman/Python-for-Finance,active,,
-Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,3/31/21 2:12,4,2,1,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
+Distribution Characteristic Optimisation,https://github.com/VivekPa/OptimalPortfolio,Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.,Portfolio Selection and Optimisation,4/12/21 13:10,232.0,82.0,3.0,11/16/18 12:20,7/4/19 1:41,VivekPa/OptimalPortfolio,active,,
-Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,12/17/20 8:24,3,3,1,12/30/17 8:56,1/11/18 2:11,lin882/WebAnalyticsProject,inactive,,
+DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,4/7/21 6:57,311.0,58.0,2.0,2/2/20 8:46,2/16/21 18:50,jankrepl/deepdow,active,,
-Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,4/12/21 7:47,110,51,2,5/24/17 12:36,8/7/19 21:47,GitiHubi/deepAI,active,,
+node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,4/5/21 8:01,101.0,26.0,3.0,9/17/11 17:49,4/5/21 8:01,albertosantini/node-finance,active,,37:19.5
-Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,10/6/20 18:54,1,4,1,2/4/18 21:51,2/4/18 21:57,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,
+PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,4/12/21 11:54,1895.0,479.0,16.0,5/29/18 13:30,2/25/21 13:01,robertmartin8/PyPortfolioOpt,active,,
 Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,4/6/21 11:47,105.0,57.0,1.0,2/10/17 9:03,3/8/18 16:47,tcloaa/Deep-Portfolio-Theory,inactive,,
 Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,3/30/21 0:01,104.0,57.0,1.0,2/17/18 8:19,2/27/18 13:16,tthustla/efficient_frontier,inactive,,
 OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,4/8/21 19:07,7.0,4.0,1.0,7/26/16 16:20,12/30/16 11:40,charlessutton/OLMAR,inactive,,
 Online Portfolio Selection,https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb,****Comparing OLPS algorithms on a diversified set of ETFs.,Portfolio Selection and Optimisation,,,,,,,,,,
 Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,4/12/21 12:25,371.0,62.0,1.0,3/2/20 19:49,4/1/21 3:50,dcajasn/Riskfolio-Lib,active,,37:19.5
 Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,3/29/21 3:47,364.0,150.0,1.0,10/7/17 9:14,6/26/18 9:22,filangelos/qtrader,inactive,,
 Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,3/21/21 7:39,73.0,42.0,1.0,10/25/17 7:10,6/5/20 3:28,TiesdeKok/Python_NLP_Tutorial,active,,
 NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,4/1/21 2:16,70.0,31.0,1.0,7/2/18 23:50,1/31/19 14:08,yuriak/DLQuant,inactive,,
 Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,3/31/21 2:10,8.0,7.0,1.0,6/4/18 20:54,6/4/18 20:56,MAydogdu/TextualAnalysis,inactive,,
 Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,10/6/20 18:54,1.0,4.0,1.0,2/4/18 21:51,2/4/18 21:57,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,inactive,,
 Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,4/12/21 7:47,110.0,51.0,2.0,5/24/17 12:36,8/7/19 21:47,GitiHubi/deepAI,active,,
 Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,3/31/21 2:12,4.0,2.0,1.0,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
 Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,3/31/21 23:48,48.0,27.0,1.0,6/23/17 0:05,1/26/19 3:35,EricHe98/Financial-Statements-Text-Analysis,inactive,,
 NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
-NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,4/1/21 2:16,70,31,1,7/2/18 23:50,1/31/19 14:08,yuriak/DLQuant,inactive,,
+Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,12/17/20 8:24,3.0,3.0,1.0,12/30/17 8:56,1/11/18 2:11,lin882/WebAnalyticsProject,inactive,,
-Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,3/31/21 2:10,8,7,1,6/4/18 20:54,6/4/18 20:56,MAydogdu/TextualAnalysis,inactive,,
+Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,4/4/21 17:55,79.0,36.0,0.0,9/5/17 19:19,9/27/17 20:42,marketneutral/pairs-trading-with-ML,inactive,,
 Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,3/21/21 7:39,73,42,1,10/25/17 7:10,6/5/20 3:28,TiesdeKok/Python_NLP_Tutorial,active,,
 Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,4/4/21 17:55,79,36,0,9/5/17 19:19,9/27/17 20:42,marketneutral/pairs-trading-with-ML,inactive,,
 PCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,"PCA, Factor Returns, and trading strategies.",Unsupervised,,,,,,,joelQF/quant-finance,,,
-Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,10/6/20 18:51,4,5,1,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
+Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,10/6/20 18:51,4.0,5.0,1.0,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
-Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,3/31/21 2:12,4,2,1,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
+Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,3/31/21 2:12,4.0,2.0,1.0,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,,
-Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,10/6/20 18:51,4,5,1,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
+Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,10/6/20 18:51,4.0,5.0,1.0,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,inactive,,
-VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,10/20/20 11:05,32,12,1,6/21/17 4:47,6/21/17 4:51,ml-hongkong/stock2vec,inactive,,
+VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,10/20/20 11:05,32.0,12.0,1.0,6/21/17 4:47,6/21/17 4:51,ml-hongkong/stock2vec,inactive,,