From f79cb80aace48f3a1c70f352c8e8146ff87d4be7 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Sun, 24 Mar 2024 01:28:24 +0000 Subject: [PATCH] chore: autopublish 2024-03-24T01:28:24Z --- raw_data/url_list.csv | 1072 ++++++++++++++++++++--------------------- 1 file changed, 536 insertions(+), 536 deletions(-) diff --git a/raw_data/url_list.csv b/raw_data/url_list.csv index ee262b4..4d177ef 100644 --- a/raw_data/url_list.csv +++ b/raw_data/url_list.csv @@ -3,14 +3,14 @@ Venture Capital NN,https://github.com/tr7200/National-Culture-and-Venture-Capita VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,2021-10-12 21:00:27,3.0,3.0,1.0,2018-03-29 23:31:13,2018-03-29 23:33:19,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 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18:34:09,justmarkham/DAT8,inactive,,2021-04-19 01:25:20.750834 -cornell-cs5785-applied-ml,https://github.com/kuleshov/cornell-cs5785-applied-ml,NEW,Courses,2024-03-16 18:47:09,861.0,233.0,1.0,2021-03-26 06:33:58,2021-09-02 00:34:55,kuleshov/cornell-cs5785-2020-applied-ml,inactive,,2021-07-05 01:46:13.555262 -mlbookcamp-code,https://github.com/alexeygrigorev/mlbookcamp-code,NEW,Courses,2024-03-16 10:35:11,177.0,55.0,64.0,2023-08-01 14:02:25,2024-02-15 20:08:32,alexeygrigorev/mlbookcamp-code,active,,2021-11-08 01:46:47.035690 -datasci_course_materials,https://github.com/uwescience/datasci_course_materials,NEW,Courses,2024-02-09 02:32:18,912.0,2394.0,6.0,2013-04-12 05:54:36,2017-03-21 19:21:02,uwescience/datasci_course_materials,inactive,,2021-04-19 01:25:20.750834 -ML_Process_Course,https://github.com/PlayingNumbers/ML_Process_Course,NEW,Courses,2024-03-15 23:13:00,267.0,106.0,2.0,2022-06-30 22:04:48,2023-06-21 18:39:45,PlayingNumbers/ML_Process_Course,active,,2023-08-28 01:40:19.002556 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Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2023-11-21 18:01:24,12.0,10.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,FinanceAndPython/FinanceAndPython.com-BasicFinance,inactive,, -ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2024-03-13 15:36:11,357.0,104.0,1.0,2020-07-10 06:38:10,2021-09-03 07:21:14,AdicherlaVenkataSai/ml-workspace,inactive,,2021-04-19 01:25:20.750834 +ml-workspace,https://github.com/AdicherlaVenkataSai/ml-workspace,NEW,Courses,2024-03-20 10:24:53,356.0,104.0,1.0,2020-07-10 06:38:10,2021-09-03 07:21:14,AdicherlaVenkataSai/ml-workspace,inactive,,2021-04-19 01:25:20.750834 datascience-box,https://github.com/rstudio-education/datascience-box,NEW,Courses,2024-03-15 12:37:51,899.0,411.0,19.0,2017-12-29 22:16:17,2024-01-29 14:18:26,tidyverse/datascience-box,active,,2021-04-19 01:25:20.750834 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12:36:47,maxim5/cs229-2018-autumn,active,,2021-11-08 01:46:47.035690 -Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2024-03-13 20:25:25,279.0,177.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,inactive,,2021-04-19 01:25:20.750834 +cs229-2018-autumn,https://github.com/maxim5/cs229-2018-autumn,NEW,Courses,2024-03-23 16:45:40,1326.0,628.0,2.0,2021-02-08 14:39:48,2024-03-09 12:36:47,maxim5/cs229-2018-autumn,active,,2021-11-08 01:46:47.035690 +Data-Science-Free,https://github.com/frontbenchHQ/Data-Science-Free,NEW,Courses,2024-03-17 18:18:08,280.0,177.0,4.0,2019-02-10 14:29:29,2020-07-13 06:36:25,frontbenchHQ/Data-Science-Free,inactive,,2021-04-19 01:25:20.750834 2014,https://github.com/cs109/2014,NEW,Courses,2024-01-18 03:17:38,317.0,732.0,4.0,2014-07-21 22:46:20,2014-12-17 14:37:02,cs109/2014,inactive,,2021-04-19 01:25:20.750834 Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2024-02-04 17:18:57,13.0,7.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive,, -awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2024-03-16 18:01:48,2547.0,267.0,5.0,2020-05-08 20:41:59,2023-02-23 12:11:35,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834 +awesome-ml-courses,https://github.com/luspr/awesome-ml-courses,NEW,Courses,2024-03-22 22:10:33,2551.0,268.0,5.0,2020-05-08 20:41:59,2023-02-23 12:11:35,luspr/awesome-ml-courses,active,,2021-04-19 01:25:20.750834 ml-mipt,https://github.com/girafe-ai/ml-mipt,NEW,Courses,2024-01-10 10:23:01,7.0,0.0,1.0,2022-09-01 16:16:05,2022-09-02 08:44:48,girafe-ai/ml-mipt,active,,2021-04-19 01:25:20.750834 MachineLearning_Ng,https://github.com/HuangCongQing/MachineLearning_Ng,NEW,Courses,2024-02-28 06:19:22,219.0,102.0,1.0,2017-10-14 13:06:55,2020-05-11 01:56:28,HuangCongQing/MachineLearning_Ng,inactive,,2022-08-08 03:00:52.405527 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12:48:16,epfml/OptML_course,active,,2021-04-19 01:25:20.750834 Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2024-03-11 21:04:59,79.0,28.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive,, Online-Courses-Learning,https://github.com/MrinmoiHossain/Online-Courses-Learning,NEW,Courses,2024-03-09 16:59:39,378.0,471.0,1.0,2018-08-12 18:52:29,2019-07-14 21:07:56,MrinmoiHossain/Online-Courses-Learning,inactive,,2021-06-21 01:58:47.497649 -python_ka_chilla2023,https://github.com/AammarTufail/python_ka_chilla2023,NEW,Courses,2024-03-16 09:40:47,541.0,357.0,1.0,2022-12-29 21:05:56,2023-02-21 22:22:08,AammarTufail/python_ka_chilla2023,active,,2023-03-20 02:09:09.569721 +python_ka_chilla2023,https://github.com/AammarTufail/python_ka_chilla2023,NEW,Courses,2024-03-23 06:17:52,552.0,365.0,1.0,2022-12-29 21:05:56,2023-02-21 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Artificial-Intelligence-And-Data-Science-Pro,https://github.com/pranavanand24/Artificial-Intelligence-And-Data-Science-Pro,NEW,Courses,2023-07-06 06:58:17,422.0,179.0,1.0,2020-05-12 07:34:21,2023-01-29 11:51:23,pranavanand24/Artificial-Intelligence-And-Data-Science-Pro,active,,2022-06-27 03:05:33.362766 Artificial-Intelligence-and-Machine-Learning,https://github.com/emilmont/Artificial-Intelligence-and-Machine-Learning,NEW,Courses,2024-02-25 04:48:24,542.0,309.0,1.0,2011-10-16 22:51:06,2013-07-20 18:21:51,emilmont/Artificial-Intelligence-and-Machine-Learning,inactive,,2021-04-19 01:25:20.750834 -machine_learning_with_python_jadi,https://github.com/jadijadi/machine_learning_with_python_jadi,NEW,Courses,2024-03-14 12:13:31,700.0,327.0,2.0,2021-09-20 08:19:48,2023-07-17 06:18:47,jadijadi/machine_learning_with_python_jadi,active,,2022-07-25 03:07:03.785161 -umich-eecs545-lectures,https://github.com/thejakeyboy/umich-eecs545-lectures,NEW,Courses,2024-02-24 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Neural-Net-with-Financial-Time-Series-Data,https://github.com/BenjiKCF/Neural-Net-with-Financial-Time-Series-Data,NEW,Data,2024-03-08 06:24:47,751.0,313.0,1.0,2017-03-22 15:00:01,2020-12-15 13:04:13,BenjiKCF/Neural-Net-with-Financial-Time-Series-Data,inactive,,2021-11-09 01:47:51.283394 -FOTOSPLOIT-,https://github.com/Juanhacker051/FOTOSPLOIT-,NEW,Data,2024-03-16 13:25:58,281.0,28.0,1.0,2020-07-12 23:02:30,2020-07-12 23:02:31,Juanhacker051/FOTOSPLOIT-,inactive,,2022-03-01 02:10:06.535299 -timeseriescv,https://github.com/sam31415/timeseriescv,NEW,Data,2024-02-22 15:36:34,255.0,61.0,5.0,2018-09-06 22:23:29,2022-02-15 21:31:52,sam31415/timeseriescv,inactive,,2021-11-09 01:47:51.283394 -FinQA,https://github.com/czyssrs/FinQA,NEW,Data,2024-03-14 08:19:27,201.0,32.0,2.0,2021-05-13 21:49:30,2022-06-06 02:12:33,czyssrs/FinQA,active,,2022-08-02 03:26:48.666043 -time-series-forecasting-pytorch,https://github.com/jinglescode/time-series-forecasting-pytorch,NEW,Data,2024-03-16 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22:46:26,sdv-dev/SDV,active,,2021-11-09 01:47:51.283394 +TSDB,https://github.com/WenjieDu/TSDB,NEW,Data,2024-03-18 10:49:27,109.0,12.0,3.0,2022-04-01 09:44:47,2024-03-17 04:44:08,WenjieDu/TSDB,active,,2024-03-05 01:40:17.150543 +web-scraping,https://github.com/je-suis-tm/web-scraping,NEW,Data,2024-03-21 10:08:42,650.0,159.0,1.0,2018-04-04 05:50:45,2021-06-28 19:56:23,je-suis-tm/web-scraping,inactive,,2021-11-09 01:47:51.283394 +Crypto-OpSec-SelfGuard-RoadMap,https://github.com/OffcierCia/Crypto-OpSec-SelfGuard-RoadMap,NEW,Data,2024-03-23 20:30:38,1320.0,117.0,5.0,2021-06-22 18:06:25,2024-02-19 03:51:48,OffcierCia/Crypto-OpSec-SelfGuard-RoadMap,active,,2022-01-04 01:57:41.258575 +cal-heatmap,https://github.com/wa0x6e/cal-heatmap,NEW,Data,2024-03-23 11:08:08,2557.0,276.0,22.0,2013-02-18 05:33:24,2024-03-03 18:32:30,wa0x6e/cal-heatmap,active,,2021-11-09 01:47:51.283394 +luminaire,https://github.com/zillow/luminaire,NEW,Data,2024-03-21 23:20:38,747.0,58.0,9.0,2020-07-08 19:22:50,2024-01-31 19:05:51,zillow/luminaire,active,,2021-11-09 01:47:51.283394 +ruby.fundamental,https://github.com/khusnetdinov/ruby.fundamental,NEW,Data,2024-03-21 12:30:51,464.0,87.0,10.0,2016-08-12 07:59:39,2023-10-10 14:13:04,khusnetdinov/ruby.fundamental,active,,2021-11-09 01:47:51.283394 simfin,https://github.com/SimFin/simfin,NEW,Data,2024-03-13 10:03:03,284.0,36.0,4.0,2019-09-25 13:25:42,2024-01-19 21:06:08,SimFin/simfin,active,,2021-11-09 01:47:51.283394 change-detection-tutorial,https://github.com/amanahuja/change-detection-tutorial,NEW,Data,2024-03-07 03:45:29,187.0,44.0,1.0,2014-01-21 20:34:43,2022-06-29 16:49:57,amanahuja/change-detection-tutorial,active,,2021-11-09 01:47:51.283394 -controllers,https://github.com/MetaMask/controllers,NEW,Data,2024-03-14 01:36:41,232.0,154.0,82.0,2018-05-29 12:55:25,2024-03-15 15:37:37,MetaMask/core,active,,2022-04-12 02:28:45.910825 -FinMind,https://github.com/FinMind/FinMind,NEW,Data,2024-03-12 09:42:31,2022.0,328.0,7.0,2018-12-16 07:16:25,2024-03-09 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11:58:40,Lissy93/twitter-sentiment-visualisation,active,,2021-11-09 01:47:51.283394 +timeseries-generator,https://github.com/Nike-Inc/timeseries-generator,NEW,Data,2024-03-17 16:11:47,121.0,27.0,4.0,2021-07-20 20:15:19,2024-03-18 08:03:03,Nike-Inc/timeseries-generator,active,,2023-08-15 01:39:36.886752 +griddb,https://github.com/griddb/griddb,NEW,Data,2024-03-22 09:19:11,2288.0,4829.0,7.0,2016-02-24 06:31:40,2024-03-19 09:31:26,griddb/griddb,active,,2021-11-09 01:47:51.283394 +Awesome-SSL4TS,https://github.com/qingsongedu/Awesome-SSL4TS,NEW,Data,2024-03-20 07:36:17,185.0,10.0,3.0,2023-06-22 00:34:15,2024-02-14 20:58:45,qingsongedu/Awesome-SSL4TS,active,,2023-10-10 01:42:11.508517 +covid19,https://github.com/pomber/covid19,NEW,Data,2024-03-21 13:34:08,1230.0,377.0,125.0,2020-03-13 04:40:32,2023-03-10 08:32:41,pomber/covid19,active,,2021-11-09 01:47:51.283394 +twitter-sentiment-visualisation,https://github.com/Lissy93/twitter-sentiment-visualisation,NEW,Data,2024-03-18 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23:34:52,hydrosquall/tiingo-python,active,,2021-11-09 01:47:51.283394 -jquery-autocomplete,https://github.com/dyve/jquery-autocomplete,NEW,Data,2024-01-17 15:48:29,401.0,185.0,9.0,2011-12-28 12:31:02,2015-03-26 09:50:53,dyve/jquery-autocomplete,inactive,,2021-11-09 01:47:51.283394 -Gnip-Trend-Detection,https://github.com/twitterdev/Gnip-Trend-Detection,NEW,Data,2024-03-05 11:07:22,190.0,48.0,2.0,2015-01-26 19:37:03,2017-02-28 17:55:07,twitterdev/Gnip-Trend-Detection,inactive,,2021-11-09 01:47:51.283394 +ScraXBRL,https://github.com/tooksoi/ScraXBRL,NEW,Data,2024-03-07 04:13:26,270.0,89.0,1.0,2016-03-06 15:20:23,2017-01-18 23:54:44,tooksoi/ScraXBRL,inactive,,2021-11-09 01:47:51.283394 +tiingo-python,https://github.com/hydrosquall/tiingo-python,NEW,Data,2024-03-21 08:01:16,235.0,51.0,12.0,2017-08-25 02:30:50,2024-03-11 23:34:52,hydrosquall/tiingo-python,active,,2021-11-09 01:47:51.283394 +jquery-autocomplete,https://github.com/dyve/jquery-autocomplete,NEW,Data,2024-01-17 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15:10:12,curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain,active,,2023-06-13 02:10:49.173973 -mplfinance,https://github.com/matplotlib/mplfinance,NEW,Data,2024-03-16 19:51:50,3270.0,591.0,39.0,2019-12-05 16:32:32,2024-02-08 18:50:20,matplotlib/mplfinance,active,,2021-11-09 01:47:51.283394 -FinNLP,https://github.com/AI4Finance-Foundation/FinNLP,NEW,Data,2024-03-16 11:31:35,979.0,169.0,7.0,2023-02-07 09:21:25,2024-03-15 07:52:27,AI4Finance-Foundation/FinNLP,active,,2023-05-30 02:06:21.672585 +tradekit,https://github.com/hackingthemarkets/tradekit,NEW,Data,2024-03-20 01:16:59,618.0,249.0,1.0,2020-12-25 21:54:13,2021-03-07 03:09:10,hackingthemarkets/tradekit,inactive,,2021-11-09 01:47:51.283394 +Get-Things-Done-with-Prompt-Engineering-and-LangChain,https://github.com/curiousily/Get-Things-Done-with-Prompt-Engineering-and-LangChain,NEW,Data,2024-03-24 01:07:34,873.0,302.0,1.0,2023-04-12 21:11:48,2024-01-07 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06:20:36,jbms/finance-dl,active,,2021-11-09 01:47:51.283394 @@ -336,528 +336,528 @@ time_series,https://github.com/Open-Power-System-Data/time_series,NEW,Data,2024- Python-Fundamentals,https://github.com/dlab-berkeley/Python-Fundamentals,NEW,Data,2024-02-07 18:27:05,19.0,10.0,3.0,2022-11-14 20:46:14,2024-02-29 20:57:10,dlab-berkeley/Python-Fundamentals,active,,2021-11-09 01:47:51.283394 yahoo-earnings-calendar,https://github.com/wenboyu2/yahoo-earnings-calendar,NEW,Data,2024-02-28 16:04:25,175.0,74.0,4.0,2016-12-23 08:36:43,2020-04-25 07:23:40,wenboyu2/yahoo-earnings-calendar,inactive,,2021-11-09 01:47:51.283394 simfin-tutorials,https://github.com/SimFin/simfin-tutorials,NEW,Data,2024-03-04 21:36:17,246.0,65.0,4.0,2019-09-25 13:26:40,2023-05-02 14:33:28,SimFin/simfin-tutorials,active,,2021-11-09 01:47:51.283394 -wxee,https://github.com/aazuspan/wxee,NEW,Data,2024-02-29 06:29:30,199.0,15.0,1.0,2021-07-22 02:13:27,2023-12-22 06:59:33,aazuspan/wxee,active,,2022-03-01 02:10:06.535299 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16:21:52,MobileRoboticsSkoltech/OpenCamera-Sensors,active,,2023-06-06 02:23:59.483338 -NSE-Stock-Scanner,https://github.com/deshwalmahesh/NSE-Stock-Scanner,NEW,Data,2024-03-16 16:56:02,163.0,118.0,1.0,2021-07-17 11:14:38,2022-02-15 15:15:44,deshwalmahesh/NSE-Stock-Scanner,inactive,,2023-07-04 02:25:10.054914 +NSE-Stock-Scanner,https://github.com/deshwalmahesh/NSE-Stock-Scanner,NEW,Data,2024-03-23 13:35:31,164.0,120.0,1.0,2021-07-17 11:14:38,2022-02-15 15:15:44,deshwalmahesh/NSE-Stock-Scanner,inactive,,2023-07-04 02:25:10.054914 anomalyzer,https://github.com/lytics/anomalyzer,NEW,Data,2024-03-05 15:35:18,291.0,39.0,3.0,2014-07-11 23:29:39,2015-11-02 00:06:50,lytics/anomalyzer,inactive,,2021-11-09 01:47:51.283394 DeepTimeSeries,https://github.com/pipidog/DeepTimeSeries,NEW,Data,2022-12-17 02:57:57,120.0,30.0,1.0,2018-01-25 02:47:17,2018-01-26 19:41:20,pipidog/DeepTimeSeries,inactive,,2021-11-09 01:47:51.283394 sec-xbrl,https://github.com/altova/sec-xbrl,NEW,Data,2023-12-22 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pystock-crawler,https://github.com/eliangcs/pystock-crawler,NEW,Data,2024-02-01 21:30:36,309.0,105.0,1.0,2013-08-31 14:10:02,2014-10-19 08:09:57,eliangcs/pystock-crawler,inactive,,2021-11-09 01:47:51.283394 TSML.jl,https://github.com/IBM/TSML.jl,NEW,Data,2023-11-20 12:09:16,109.0,20.0,6.0,2019-01-31 03:57:56,2023-12-20 13:09:53,IBM/TSML.jl,active,,2023-08-01 02:06:42.116411 -PIXIU,https://github.com/The-FinAI/PIXIU,NEW,Data,2024-03-15 22:15:52,349.0,35.0,9.0,2023-06-02 02:59:15,2024-02-28 14:07:41,The-FinAI/PIXIU,active,,2024-02-20 01:39:37.489180 -awesome-time-series-analysis,https://github.com/youngdou/awesome-time-series-analysis,NEW,Data,2024-03-12 05:08:11,173.0,27.0,2.0,2018-10-21 13:17:13,2021-03-13 17:11:24,youngdou/awesome-time-series-analysis,inactive,,2021-11-09 01:47:51.283394 -jqdatasdk,https://github.com/JoinQuant/jqdatasdk,NEW,Data,2024-03-15 04:13:08,832.0,153.0,10.0,2017-11-29 08:39:45,2024-03-13 06:42:38,JoinQuant/jqdatasdk,active,,2021-11-09 01:47:51.283394 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21:06:17,2023-08-07 03:39:03,piquette/finance-go,active,,2021-11-09 01:47:51.283394 MessyTimeSeries.jl,https://github.com/fipelle/MessyTimeSeries.jl,NEW,Data,2024-01-11 04:14:39,116.0,5.0,1.0,2019-10-30 15:43:14,2022-12-09 18:11:36,fipelle/MessyTimeSeries.jl,active,,2022-07-19 03:17:35.816481 -element-china-area-data,https://github.com/Plortinus/element-china-area-data,NEW,Data,2024-03-15 09:28:14,1227.0,210.0,1.0,2017-03-01 06:10:33,2023-10-11 05:20:51,Plortinus/element-china-area-data,active,,2021-11-09 01:47:51.283394 +element-china-area-data,https://github.com/Plortinus/element-china-area-data,NEW,Data,2024-03-18 07:29:10,1229.0,210.0,1.0,2017-03-01 06:10:33,2023-10-11 05:20:51,Plortinus/element-china-area-data,active,,2021-11-09 01:47:51.283394 tempo,https://github.com/databrickslabs/tempo,NEW,Data,2024-03-07 10:16:43,294.0,50.0,19.0,2020-07-14 15:43:11,2024-02-28 21:36:18,databrickslabs/tempo,active,,2021-11-09 01:47:51.283394 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02:10:06.535299 Data_Science_Fundamentals,https://github.com/dziganto/Data_Science_Fundamentals,NEW,Data,2023-10-19 12:17:20,101.0,58.0,1.0,2017-09-18 18:38:15,2018-06-25 19:45:25,dziganto/Data_Science_Fundamentals,inactive,,2023-08-15 01:39:36.886752 -redtide,https://github.com/qks1lver/redtide,NEW,Data,2024-01-14 01:56:33,166.0,37.0,1.0,2018-08-19 20:13:44,2020-05-22 05:45:27,qks1lver/redtide,inactive,,2021-11-09 01:47:51.283394 +redtide,https://github.com/qks1lver/redtide,NEW,Data,2024-03-23 19:25:08,167.0,37.0,1.0,2018-08-19 20:13:44,2020-05-22 05:45:27,qks1lver/redtide,inactive,,2021-11-09 01:47:51.283394 R-Fundamentals,https://github.com/dlab-berkeley/R-Fundamentals,NEW,Data,2024-03-05 22:12:50,25.0,3.0,2.0,2023-01-31 16:47:29,2024-01-29 15:55:26,dlab-berkeley/R-Fundamentals,active,,2021-12-07 01:56:42.666013 financial_stock_knowledge_graph,https://github.com/kevin-meng/financial_stock_knowledge_graph,NEW,Data,2024-02-29 14:20:22,122.0,34.0,1.0,2020-02-06 05:41:55,2021-10-05 10:42:29,kevin-meng/financial_stock_knowledge_graph,inactive,,2023-02-07 02:10:07.223310 ACT,https://github.com/ARM-DOE/ACT,NEW,Data,2024-02-29 12:47:01,123.0,32.0,13.0,2019-03-11 15:19:03,2024-03-11 17:05:32,ARM-DOE/ACT,active,,2023-01-17 02:12:00.726880 -moonstream,https://github.com/bugout-dev/moonstream,NEW,Data,2024-03-11 15:36:06,128.0,51.0,11.0,2021-07-01 23:01:21,2024-03-14 17:09:12,moonstream-to/api,active,,2022-09-27 03:26:35.084200 -EconomicTracker,https://github.com/OpportunityInsights/EconomicTracker,NEW,Data,2024-03-07 05:37:35,298.0,190.0,3.0,2020-06-17 04:35:43,2024-03-15 17:51:44,OpportunityInsights/EconomicTracker,active,,2021-11-09 01:47:51.283394 -causalai,https://github.com/salesforce/causalai,NEW,Data,2024-03-14 13:42:47,218.0,24.0,3.0,2022-11-21 18:20:58,2023-09-22 19:29:38,salesforce/causalai,active,,2023-02-07 02:10:07.223310 -cryptoexchange,https://github.com/coingecko/cryptoexchange,NEW,Data,2024-01-04 15:48:54,294.0,243.0,61.0,2017-07-03 10:25:10,2020-06-22 13:16:13,coingecko/cryptoexchange,inactive,,2021-11-09 01:47:51.283394 -sec-api-python,https://github.com/janlukasschroeder/sec-api-python,NEW,Data,2024-03-14 14:17:41,128.0,20.0,1.0,2021-06-12 15:49:41,2023-07-19 10:43:57,janlukasschroeder/sec-api-python,active,,2023-09-26 01:42:49.590619 +moonstream,https://github.com/bugout-dev/moonstream,NEW,Data,2024-03-11 15:36:06,128.0,51.0,11.0,2021-07-01 23:01:21,2024-03-20 16:47:32,moonstream-to/api,active,,2022-09-27 03:26:35.084200 +EconomicTracker,https://github.com/OpportunityInsights/EconomicTracker,NEW,Data,2024-03-07 05:37:35,298.0,190.0,3.0,2020-06-17 04:35:43,2024-03-22 16:17:48,OpportunityInsights/EconomicTracker,active,,2021-11-09 01:47:51.283394 +causalai,https://github.com/salesforce/causalai,NEW,Data,2024-03-23 23:48:15,219.0,24.0,3.0,2022-11-21 18:20:58,2023-09-22 19:29:38,salesforce/causalai,active,,2023-02-07 02:10:07.223310 +cryptoexchange,https://github.com/coingecko/cryptoexchange,NEW,Data,2024-03-21 21:47:53,296.0,243.0,61.0,2017-07-03 10:25:10,2020-06-22 13:16:13,coingecko/cryptoexchange,inactive,,2021-11-09 01:47:51.283394 +sec-api-python,https://github.com/janlukasschroeder/sec-api-python,NEW,Data,2024-03-23 01:58:21,130.0,20.0,1.0,2021-06-12 15:49:41,2023-07-19 10:43:57,janlukasschroeder/sec-api-python,active,,2023-09-26 01:42:49.590619 tstables,https://github.com/afiedler/tstables,NEW,Data,2024-01-28 21:13:48,194.0,63.0,2.0,2014-05-13 13:59:23,2015-10-10 17:37:47,afiedler/tstables,inactive,,2021-11-09 01:47:51.283394 -neuralforecast,https://github.com/Nixtla/neuralforecast,NEW,Data,2024-03-16 21:16:56,2274.0,261.0,32.0,2021-04-26 00:15:19,2024-03-14 14:05:32,Nixtla/neuralforecast,active,,2022-02-08 01:52:08.814326 -FinanceDataReader,https://github.com/FinanceData/FinanceDataReader,NEW,Data,2024-03-15 07:12:25,1045.0,346.0,10.0,2018-04-19 13:51:59,2024-03-10 06:13:46,FinanceData/FinanceDataReader,active,,2021-11-09 01:47:51.283394 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+TabFormer,https://github.com/IBM/TabFormer,NEW,Data,2024-03-18 08:10:07,289.0,77.0,5.0,2020-10-20 17:20:36,2022-02-03 17:24:01,IBM/TabFormer,inactive,,2021-11-09 01:47:51.283394 search_widget,https://github.com/apgapg/search_widget,NEW,Data,2024-01-03 14:09:08,197.0,54.0,8.0,2019-04-03 12:40:18,2022-05-02 11:00:07,apgapg/search_widget,active,,2021-11-09 01:47:51.283394 -Aiops-Learning-Resources,https://github.com/LiaoWenzhe/Aiops-Learning-Resources,NEW,Data,2024-03-13 05:22:59,150.0,28.0,1.0,2021-12-23 14:25:41,2023-01-08 08:01:40,LiaoWenzhe/Aiops-Learning-Resources,active,,2023-05-16 02:02:28.279303 +Aiops-Learning-Resources,https://github.com/LiaoWenzhe/Aiops-Learning-Resources,NEW,Data,2024-03-21 01:19:47,152.0,28.0,1.0,2021-12-23 14:25:41,2023-01-08 08:01:40,LiaoWenzhe/Aiops-Learning-Resources,active,,2023-05-16 02:02:28.279303 fixofx,https://github.com/wesabe/fixofx,NEW,Data,2024-01-08 20:39:26,100.0,39.0,4.0,2010-07-23 19:25:03,2011-01-01 03:58:04,wesabe/fixofx,inactive,,2024-01-09 01:50:21.564819 -wayback-machine-scraper,https://github.com/sangaline/wayback-machine-scraper,NEW,Data,2024-03-11 01:42:01,396.0,71.0,1.0,2017-04-04 23:27:58,2021-02-15 19:00:15,sangaline/wayback-machine-scraper,inactive,,2021-11-09 01:47:51.283394 -pynance,https://github.com/GriffinAustin/pynance,NEW,Data,2024-03-15 09:40:43,280.0,42.0,3.0,2014-11-05 23:11:23,2021-02-03 02:29:31,GriffinAustin/pynance,inactive,,2022-07-26 03:23:25.008381 -LSTM-Neural-Network-for-Time-Series-Prediction,https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction,NEW,Data,2024-03-16 19:28:54,4597.0,1923.0,1.0,2016-12-18 16:26:20,2019-04-30 15:05:34,jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction,inactive,,2021-11-09 01:47:51.283394 -gun,https://github.com/amark/gun,NEW,Data,2024-03-16 00:32:09,17706.0,1129.0,134.0,2014-07-31 15:52:10,2024-03-11 20:55:50,amark/gun,active,,2021-11-09 01:47:51.283394 -Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,2024-03-15 11:47:40,753.0,217.0,2.0,2019-02-19 19:02:59,2021-12-18 09:24:32,firmai/business-machine-learning,inactive,, +wayback-machine-scraper,https://github.com/sangaline/wayback-machine-scraper,NEW,Data,2024-03-22 14:10:49,397.0,71.0,1.0,2017-04-04 23:27:58,2021-02-15 19:00:15,sangaline/wayback-machine-scraper,inactive,,2021-11-09 01:47:51.283394 +pynance,https://github.com/GriffinAustin/pynance,NEW,Data,2024-03-22 15:14:41,283.0,42.0,3.0,2014-11-05 23:11:23,2021-02-03 02:29:31,GriffinAustin/pynance,inactive,,2022-07-26 03:23:25.008381 +LSTM-Neural-Network-for-Time-Series-Prediction,https://github.com/jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction,NEW,Data,2024-03-23 09:12:07,4600.0,1924.0,1.0,2016-12-18 16:26:20,2019-04-30 15:05:34,jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction,inactive,,2021-11-09 01:47:51.283394 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07:04:55,ranelpadon/ngram-type,active,,2022-10-04 03:06:14.669688 +ngram-type,https://github.com/ranelpadon/ngram-type,NEW,Data,2024-03-21 15:10:43,176.0,27.0,7.0,2020-10-25 23:49:00,2023-08-01 07:04:55,ranelpadon/ngram-type,active,,2022-10-04 03:06:14.669688 IDTxl,https://github.com/pwollstadt/IDTxl,NEW,Data,2024-03-13 14:55:23,231.0,72.0,13.0,2015-07-16 07:14:21,2024-01-15 14:27:23,pwollstadt/IDTxl,active,,2021-11-09 01:47:51.283394 etherscan-labels,https://github.com/brianleect/etherscan-labels,NEW,Data,2024-03-15 15:22:06,237.0,74.0,3.0,2022-07-28 16:18:15,2023-10-01 18:22:35,brianleect/etherscan-labels,active,,2023-06-20 02:05:08.113361 -WeDataSphere,https://github.com/WeBankFinTech/WeDataSphere,NEW,Data,2024-03-15 01:05:15,628.0,155.0,6.0,2019-07-23 06:31:54,2024-03-14 02:39:21,WeBankFinTech/WeDataSphere,active,,2021-11-09 01:47:51.283394 -Deep-Learning-For-Hackers,https://github.com/curiousily/Deep-Learning-For-Hackers,NEW,Data,2024-03-15 09:07:19,974.0,428.0,1.0,2019-04-24 06:06:44,2020-04-23 06:08:46,curiousily/Deep-Learning-For-Hackers,inactive,,2021-11-09 01:47:51.283394 +WeDataSphere,https://github.com/WeBankFinTech/WeDataSphere,NEW,Data,2024-03-15 01:05:15,628.0,156.0,6.0,2019-07-23 06:31:54,2024-03-14 02:39:21,WeBankFinTech/WeDataSphere,active,,2021-11-09 01:47:51.283394 +Deep-Learning-For-Hackers,https://github.com/curiousily/Deep-Learning-For-Hackers,NEW,Data,2024-03-21 01:26:14,979.0,428.0,1.0,2019-04-24 06:06:44,2020-04-23 06:08:46,curiousily/Deep-Learning-For-Hackers,inactive,,2021-11-09 01:47:51.283394 https://stooq.com,https://stooq.com,,Data,,,,,,,,,, -PrivateBin,https://github.com/PrivateBin/PrivateBin,NEW,Data,2024-03-16 11:12:21,5733.0,726.0,102.0,2016-07-09 07:03:25,2024-03-14 05:59:07,PrivateBin/PrivateBin,active,,2021-11-09 01:47:51.283394 -FTC-Skystone-Dark-Angels-Romania-2020,https://github.com/chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020,NEW,Data,2024-03-07 04:34:12,109.0,50.0,1.0,2021-03-08 11:34:11,2021-03-08 11:45:12,chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020,inactive,,2024-02-27 01:38:42.730901 -Spreads,https://github.com/Spreads/Spreads,NEW,Data,2024-03-08 07:37:31,418.0,38.0,3.0,2015-12-20 20:10:03,2023-04-16 20:23:15,Spreads/Spreads,active,,2021-11-09 01:47:51.283394 +PrivateBin,https://github.com/PrivateBin/PrivateBin,NEW,Data,2024-03-23 20:29:32,5750.0,728.0,104.0,2016-07-09 07:03:25,2024-03-23 10:33:02,PrivateBin/PrivateBin,active,,2021-11-09 01:47:51.283394 +FTC-Skystone-Dark-Angels-Romania-2020,https://github.com/chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020,NEW,Data,2024-03-23 03:17:15,111.0,50.0,1.0,2021-03-08 11:34:11,2021-03-08 11:45:12,chrisneagu/FTC-Skystone-Dark-Angels-Romania-2020,inactive,,2024-02-27 01:38:42.730901 +Spreads,https://github.com/Spreads/Spreads,NEW,Data,2024-03-23 17:25:55,417.0,38.0,3.0,2015-12-20 20:10:03,2023-04-16 20:23:15,Spreads/Spreads,active,,2021-11-09 01:47:51.283394 cryptory,https://github.com/dashee87/cryptory,NEW,Data,2024-03-14 02:02:42,226.0,60.0,1.0,2018-02-06 23:49:54,2018-06-12 23:40:41,dashee87/cryptory,inactive,,2021-11-09 01:47:51.283394 Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,, -facette,https://github.com/facette/facette,NEW,Data,2024-02-20 18:21:50,1151.0,76.0,22.0,2011-08-04 16:28:07,2020-06-11 07:45:09,facette/facette,inactive,,2021-11-09 01:47:51.283394 -Schedulis,https://github.com/WeBankFinTech/Schedulis,NEW,Data,2024-03-15 12:03:08,371.0,146.0,20.0,2020-05-07 06:37:09,2024-03-14 09:54:27,WeBankFinTech/Schedulis,active,,2021-11-09 01:47:51.283394 -edgartools,https://github.com/dgunning/edgartools,NEW,Data,2024-03-14 13:20:59,128.0,33.0,3.0,2022-12-24 17:07:26,2024-03-11 23:02:42,dgunning/edgartools,active,,2024-01-30 01:40:07.534460 -cryo,https://github.com/paradigmxyz/cryo,NEW,Data,2024-03-15 18:03:08,922.0,77.0,15.0,2023-06-27 00:11:53,2024-02-03 22:08:35,paradigmxyz/cryo,active,,2023-07-11 02:18:07.537967 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-DataFrame,https://github.com/hosseinmoein/DataFrame,NEW,Data,2024-03-17 00:55:26,2198.0,284.0,17.0,2017-10-28 17:25:45,2024-03-14 16:45:08,hosseinmoein/DataFrame,active,,2021-11-09 01:47:51.283394 -laravel-model-json,https://github.com/vildanbina/laravel-model-json,NEW,Data,2024-02-28 05:26:01,109.0,8.0,1.0,2023-01-18 14:10:24,2023-04-22 16:46:46,vildanbina/laravel-model-json,active,,2023-10-17 01:43:40.398734 -SEC-EDGAR-text,https://github.com/alions7000/SEC-EDGAR-text,NEW,Data,2024-02-28 20:05:01,101.0,40.0,2.0,2017-05-22 21:11:38,2023-05-29 18:26:33,alions7000/SEC-EDGAR-text,active,,2024-02-13 01:40:56.507970 -cryptoCMD,https://github.com/guptarohit/cryptoCMD,NEW,Data,2024-03-17 00:16:28,509.0,107.0,7.0,2018-01-27 22:32:48,2024-03-15 21:31:49,guptarohit/cryptoCMD,active,,2021-11-09 01:47:51.283394 -kcov,https://github.com/SimonKagstrom/kcov,NEW,Data,2024-03-16 17:35:43,678.0,106.0,59.0,2010-08-23 12:03:31,2024-03-16 15:37:04,SimonKagstrom/kcov,active,,2021-11-09 01:47:51.283394 -Awesome-TimeSeries-SpatioTemporal-Diffusion-Model,https://github.com/yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model,NEW,Data,2024-03-15 08:12:49,153.0,16.0,3.0,2023-10-09 16:12:22,2024-03-10 01:21:28,yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model,active,,2024-01-23 01:54:46.559911 +openmicroscopy,https://github.com/ome/openmicroscopy,NEW,Data,2024-03-21 23:03:48,185.0,103.0,42.0,2011-08-18 14:26:02,2024-03-17 10:57:12,ome/openmicroscopy,active,,2021-11-09 01:47:51.283394 +DataFrame,https://github.com/hosseinmoein/DataFrame,NEW,Data,2024-03-23 21:03:46,2209.0,284.0,17.0,2017-10-28 17:25:45,2024-03-23 15:48:00,hosseinmoein/DataFrame,active,,2021-11-09 01:47:51.283394 +laravel-model-json,https://github.com/vildanbina/laravel-model-json,NEW,Data,2024-03-19 19:28:45,110.0,8.0,1.0,2023-01-18 14:10:24,2023-04-22 16:46:46,vildanbina/laravel-model-json,active,,2023-10-17 01:43:40.398734 +SEC-EDGAR-text,https://github.com/alions7000/SEC-EDGAR-text,NEW,Data,2024-03-19 01:20:44,102.0,40.0,2.0,2017-05-22 21:11:38,2023-05-29 18:26:33,alions7000/SEC-EDGAR-text,active,,2024-02-13 01:40:56.507970 +cryptoCMD,https://github.com/guptarohit/cryptoCMD,NEW,Data,2024-03-22 15:34:57,511.0,107.0,7.0,2018-01-27 22:32:48,2024-03-15 21:31:49,guptarohit/cryptoCMD,active,,2021-11-09 01:47:51.283394 +kcov,https://github.com/SimonKagstrom/kcov,NEW,Data,2024-03-22 18:20:18,678.0,108.0,59.0,2010-08-23 12:03:31,2024-03-18 07:50:09,SimonKagstrom/kcov,active,,2021-11-09 01:47:51.283394 +Awesome-TimeSeries-SpatioTemporal-Diffusion-Model,https://github.com/yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model,NEW,Data,2024-03-22 02:21:44,160.0,16.0,3.0,2023-10-09 16:12:22,2024-03-10 01:21:28,yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model,active,,2024-01-23 01:54:46.559911 opentick,https://github.com/rustdesk/opentick,NEW,Data,2024-03-14 03:53:52,193.0,40.0,1.0,2018-08-26 14:02:09,2020-10-25 17:19:32,open-trade/opentick,inactive,,2021-11-09 01:47:51.283394 -paradigm-data-portal,https://github.com/paradigmxyz/paradigm-data-portal,NEW,Data,2024-03-09 06:47:52,273.0,12.0,1.0,2023-03-17 16:23:22,2023-06-02 04:00:10,paradigmxyz/paradigm-data-portal,active,,2023-03-28 02:04:21.715377 -time-series-transformers-review,https://github.com/qingsongedu/time-series-transformers-review,NEW,Data,2024-03-16 09:38:41,1986.0,206.0,1.0,2022-03-01 01:36:29,2024-03-05 02:24:44,qingsongedu/time-series-transformers-review,active,,2022-05-17 02:54:17.956377 +paradigm-data-portal,https://github.com/paradigmxyz/paradigm-data-portal,NEW,Data,2024-03-21 12:57:09,274.0,13.0,1.0,2023-03-17 16:23:22,2023-06-02 04:00:10,paradigmxyz/paradigm-data-portal,active,,2023-03-28 02:04:21.715377 +time-series-transformers-review,https://github.com/qingsongedu/time-series-transformers-review,NEW,Data,2024-03-23 11:55:02,2005.0,205.0,1.0,2022-03-01 01:36:29,2024-03-05 02:24:44,qingsongedu/time-series-transformers-review,active,,2022-05-17 02:54:17.956377 Phirautee,https://github.com/Viralmaniar/Phirautee,NEW,Data,2024-01-19 18:03:57,111.0,32.0,1.0,2020-04-11 05:59:10,2020-08-11 02:23:11,Viralmaniar/Phirautee,inactive,,2022-10-18 03:35:48.817911 -hadoop-fundamentals,https://github.com/bbengfort/hadoop-fundamentals,NEW,Data,2024-01-12 02:37:16,166.0,148.0,2.0,2014-11-02 15:11:37,2016-08-23 14:54:03,bbengfort/hadoop-fundamentals,inactive,,2021-11-09 01:47:51.283394 -pystore,https://github.com/ranaroussi/pystore,NEW,Data,2024-03-08 08:46:42,534.0,97.0,4.0,2018-05-26 20:38:44,2022-02-11 11:35:58,ranaroussi/pystore,inactive,,2021-11-09 01:47:51.283394 +hadoop-fundamentals,https://github.com/bbengfort/hadoop-fundamentals,NEW,Data,2024-03-20 10:15:08,165.0,149.0,2.0,2014-11-02 15:11:37,2016-08-23 14:54:03,bbengfort/hadoop-fundamentals,inactive,,2021-11-09 01:47:51.283394 +pystore,https://github.com/ranaroussi/pystore,NEW,Data,2024-03-19 23:11:00,536.0,97.0,4.0,2018-05-26 20:38:44,2022-02-11 11:35:58,ranaroussi/pystore,inactive,,2021-11-09 01:47:51.283394 AutoMunge,https://github.com/Automunge/AutoMunge,NEW,Data,2024-01-23 19:35:24,163.0,22.0,1.0,2018-11-07 16:21:23,2024-01-02 12:13:00,Automunge/AutoMunge,active,,2022-03-22 02:19:52.247177 -sec-edgar,https://github.com/sec-edgar/sec-edgar,NEW,Data,2024-03-15 13:33:28,938.0,268.0,20.0,2013-11-27 21:27:22,2024-01-28 19:15:15,sec-edgar/sec-edgar,active,,2021-11-09 01:47:51.283394 -cs-fundamentals,https://github.com/connor11528/cs-fundamentals,NEW,Data,2024-03-12 08:03:24,1100.0,232.0,5.0,2016-12-29 21:47:23,2023-03-20 13:51:06,connor11528/cs-fundamentals,active,,2021-11-09 01:47:51.283394 +sec-edgar,https://github.com/sec-edgar/sec-edgar,NEW,Data,2024-03-23 15:34:07,939.0,268.0,20.0,2013-11-27 21:27:22,2024-01-28 19:15:15,sec-edgar/sec-edgar,active,,2021-11-09 01:47:51.283394 +cs-fundamentals,https://github.com/connor11528/cs-fundamentals,NEW,Data,2024-03-23 14:05:03,1102.0,232.0,5.0,2016-12-29 21:47:23,2023-03-20 13:51:06,connor11528/cs-fundamentals,active,,2021-11-09 01:47:51.283394 crypto_identifier,https://github.com/Acceis/crypto_identifier,NEW,Data,2023-12-27 08:11:49,121.0,27.0,1.0,2017-11-30 13:04:49,2018-01-04 11:04:44,Acceis/crypto_identifier,inactive,,2021-11-09 01:47:51.283394 -PyPOTS,https://github.com/WenjieDu/PyPOTS,NEW,Data,2024-03-15 09:11:35,600.0,60.0,5.0,2022-03-29 14:22:47,2024-03-15 07:59:34,WenjieDu/PyPOTS,active,,2022-09-06 03:40:54.681386 +PyPOTS,https://github.com/WenjieDu/PyPOTS,NEW,Data,2024-03-23 21:15:14,614.0,61.0,5.0,2022-03-29 14:22:47,2024-03-19 09:21:46,WenjieDu/PyPOTS,active,,2022-09-06 03:40:54.681386 IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,, -tsbs,https://github.com/timescale/tsbs,NEW,Data,2024-03-13 17:14:25,1196.0,280.0,32.0,2018-08-08 14:30:28,2023-09-21 13:18:59,timescale/tsbs,active,,2021-11-09 01:47:51.283394 +tsbs,https://github.com/timescale/tsbs,NEW,Data,2024-03-21 20:48:50,1198.0,282.0,32.0,2018-08-08 14:30:28,2023-09-21 13:18:59,timescale/tsbs,active,,2021-11-09 01:47:51.283394 Python_Portfolio__VaR_Tool,https://github.com/MBKraus/Python_Portfolio__VaR_Tool,NEW,Data,2024-03-04 11:07:41,107.0,37.0,2.0,2018-01-20 19:31:15,2021-02-17 18:11:53,MBKraus/Python_Portfolio__VaR_Tool,inactive,,2023-07-11 02:18:07.537967 Fetching-Financial-Data,https://github.com/rbhatia46/Fetching-Financial-Data,NEW,Data,2024-03-06 08:18:15,175.0,28.0,1.0,2020-08-22 23:43:18,2020-08-25 03:15:52,rbhatia46/Fetching-Financial-Data,inactive,,2021-11-09 01:47:51.283394 -Visualis,https://github.com/WeBankFinTech/Visualis,NEW,Data,2024-03-14 09:13:19,254.0,123.0,17.0,2019-11-26 02:47:29,2022-07-07 01:43:44,WeBankFinTech/Visualis,active,,2021-12-28 01:54:48.452850 +Visualis,https://github.com/WeBankFinTech/Visualis,NEW,Data,2024-03-14 09:13:19,254.0,124.0,18.0,2019-11-26 02:47:29,2024-03-20 09:12:50,WeBankFinTech/Visualis,active,,2021-12-28 01:54:48.452850 jhTAlib,https://github.com/joosthoeks/jhTAlib,NEW,Data,2024-01-03 08:47:02,152.0,44.0,1.0,2016-10-01 20:32:21,2023-10-08 16:36:30,joosthoeks/jhTAlib,active,,2021-11-09 01:47:51.283394 -labelImg,https://github.com/HumanSignal/labelImg,NEW,Data,2024-03-16 21:46:57,21574.0,6107.0,93.0,2015-09-17 01:33:59,2022-09-22 22:12:32,HumanSignal/labelImg,active,,2023-07-25 02:14:35.864151 -tardis-node,https://github.com/tardis-dev/tardis-node,NEW,Data,2024-03-08 08:35:01,277.0,65.0,3.0,2019-06-13 08:46:04,2024-03-09 07:43:07,tardis-dev/tardis-node,active,,2021-11-09 01:47:51.283394 -qlib-server,https://github.com/microsoft/qlib-server,NEW,Data,2024-03-12 11:19:38,215.0,67.0,7.0,2020-09-02 10:11:49,2022-07-08 02:15:09,microsoft/qlib-server,active,,2021-11-09 01:47:51.283394 -functime,https://github.com/neocortexdb/functime,NEW,Data,2024-03-13 14:17:53,856.0,46.0,12.0,2023-06-05 23:38:27,2024-03-13 22:43:39,functime-org/functime,active,,2023-10-17 01:43:40.398734 -CoinTrend,https://github.com/CoinTrend/CoinTrend,NEW,Data,2024-03-15 08:00:23,165.0,25.0,2.0,2022-10-28 16:22:23,2024-01-17 19:27:28,CoinTrend/CoinTrend,active,,2023-08-29 01:41:53.747047 +labelImg,https://github.com/HumanSignal/labelImg,NEW,Data,2024-03-23 18:07:23,21616.0,6117.0,93.0,2015-09-17 01:33:59,2022-09-22 22:12:32,HumanSignal/labelImg,active,,2023-07-25 02:14:35.864151 +tardis-node,https://github.com/tardis-dev/tardis-node,NEW,Data,2024-03-08 08:35:01,277.0,64.0,3.0,2019-06-13 08:46:04,2024-03-21 10:58:41,tardis-dev/tardis-node,active,,2021-11-09 01:47:51.283394 +qlib-server,https://github.com/microsoft/qlib-server,NEW,Data,2024-03-19 23:34:37,217.0,67.0,7.0,2020-09-02 10:11:49,2022-07-08 02:15:09,microsoft/qlib-server,active,,2021-11-09 01:47:51.283394 +functime,https://github.com/neocortexdb/functime,NEW,Data,2024-03-23 19:50:05,860.0,45.0,12.0,2023-06-05 23:38:27,2024-03-13 22:43:39,functime-org/functime,active,,2023-10-17 01:43:40.398734 +CoinTrend,https://github.com/CoinTrend/CoinTrend,NEW,Data,2024-03-20 14:51:50,167.0,26.0,2.0,2022-10-28 16:22:23,2024-01-17 19:27:28,CoinTrend/CoinTrend,active,,2023-08-29 01:41:53.747047 data,https://github.com/open-covid-19/data,NEW,Data,2024-02-02 19:34:47,277.0,63.0,6.0,2020-03-14 06:40:00,2020-11-13 21:53:13,open-covid-19/data,inactive,,2021-11-09 01:47:51.283394 covid-19-open-data,https://github.com/GoogleCloudPlatform/covid-19-open-data,NEW,Data,2024-03-12 12:46:31,467.0,137.0,20.0,2020-07-23 23:43:51,2022-10-23 22:26:29,GoogleCloudPlatform/covid-19-open-data,active,,2021-11-09 01:47:51.283394 RZDataBinding,https://github.com/Rightpoint/RZDataBinding,NEW,Data,2024-03-13 06:54:51,543.0,57.0,4.0,2014-09-19 15:15:16,2018-10-04 22:34:22,Rightpoint/RZDataBinding,inactive,,2021-11-09 01:47:51.283394 -Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-,https://github.com/ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-,NEW,Data,2024-01-18 02:02:23,111.0,34.0,1.0,2018-10-10 12:00:44,2022-12-02 03:24:23,ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-,active,,2023-06-13 02:10:49.173973 +Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-,https://github.com/ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-,NEW,Data,2024-03-18 02:05:24,112.0,34.0,1.0,2018-10-10 12:00:44,2022-12-02 03:24:23,ZhouYuxuanYX/Unsupervised-Deep-Learning-Framework-for-Anomaly-Detection-in-Time-Series-,active,,2023-06-13 02:10:49.173973 backtesting-for-cryptocurrency-trading,https://github.com/CyberPunkMetalHead/backtesting-for-cryptocurrency-trading,NEW,Data,2024-02-06 08:58:32,162.0,45.0,1.0,2021-06-12 16:18:50,2021-06-20 11:52:38,CyberPunkMetalHead/backtesting-for-cryptocurrency-trading,inactive,,2021-11-09 01:47:51.283394 -venice,https://github.com/useVenice/venice,NEW,Data,2024-02-22 07:06:10,117.0,10.0,6.0,2022-08-10 03:19:47,2024-03-15 02:18:14,useVenice/venice,active,,2023-02-07 02:10:07.223310 -jquery-validation-unobtrusive,https://github.com/aspnet/jquery-validation-unobtrusive,NEW,Data,2024-02-17 03:14:27,243.0,111.0,18.0,2014-10-14 16:00:23,2024-02-27 00:00:52,aspnet/jquery-validation-unobtrusive,active,,2021-11-09 01:47:51.283394 -py-edgar,https://github.com/joeyism/py-edgar,NEW,Data,2024-02-21 07:24:58,216.0,53.0,4.0,2017-06-29 23:59:34,2022-11-15 11:37:55,joeyism/py-edgar,active,,2021-11-09 01:47:51.283394 +venice,https://github.com/useVenice/venice,NEW,Data,2024-03-22 16:01:02,119.0,10.0,6.0,2022-08-10 03:19:47,2024-03-22 04:52:58,useVenice/venice,active,,2023-02-07 02:10:07.223310 +jquery-validation-unobtrusive,https://github.com/aspnet/jquery-validation-unobtrusive,NEW,Data,2024-03-18 14:02:33,244.0,111.0,18.0,2014-10-14 16:00:23,2024-02-27 00:00:52,aspnet/jquery-validation-unobtrusive,active,,2021-11-09 01:47:51.283394 +py-edgar,https://github.com/joeyism/py-edgar,NEW,Data,2024-03-23 02:07:13,217.0,53.0,4.0,2017-06-29 23:59:34,2022-11-15 11:37:55,joeyism/py-edgar,active,,2021-11-09 01:47:51.283394 Open Edgar,https://github.com/LexPredict/openedgar,,Data,2024-03-10 23:03:25,280.0,91.0,4.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,inactive,, matrixprofile,https://github.com/matrix-profile-foundation/matrixprofile,NEW,Data,2024-02-25 17:01:37,352.0,63.0,17.0,2019-07-22 00:33:37,2022-11-25 13:40:05,matrix-profile-foundation/matrixprofile,active,,2021-11-09 01:47:51.283394 -calendar-heatmap,https://github.com/DKirwan/calendar-heatmap,NEW,Data,2024-03-10 19:33:00,2009.0,156.0,11.0,2016-02-16 20:54:30,2019-03-12 22:48:22,DKirwan/calendar-heatmap,inactive,,2021-11-09 01:47:51.283394 -autogluon,https://github.com/awslabs/autogluon,NEW,Data,2024-03-16 17:42:26,6947.0,827.0,108.0,2019-07-29 18:51:24,2024-03-13 17:11:48,autogluon/autogluon,active,,2022-11-22 02:44:41.182436 -Superalgos,https://github.com/Superalgos/Superalgos,NEW,Data,2024-03-16 06:55:02,3768.0,5334.0,185.0,2019-08-12 17:34:43,2024-01-31 18:29:38,Superalgos/Superalgos,active,,2021-11-09 01:47:51.283394 +calendar-heatmap,https://github.com/DKirwan/calendar-heatmap,NEW,Data,2024-03-18 15:03:01,2010.0,145.0,11.0,2016-02-16 20:54:30,2019-03-12 22:48:22,DKirwan/calendar-heatmap,inactive,,2021-11-09 01:47:51.283394 +autogluon,https://github.com/awslabs/autogluon,NEW,Data,2024-03-23 11:59:14,6983.0,832.0,108.0,2019-07-29 18:51:24,2024-03-21 05:58:09,autogluon/autogluon,active,,2022-11-22 02:44:41.182436 +Superalgos,https://github.com/Superalgos/Superalgos,NEW,Data,2024-03-23 18:37:31,3790.0,5346.0,185.0,2019-08-12 17:34:43,2024-01-31 18:29:38,Superalgos/Superalgos,active,,2021-11-09 01:47:51.283394 http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,, -killrweather,https://github.com/killrweather/killrweather,NEW,Data,2024-03-11 06:07:00,1185.0,401.0,5.0,2014-10-07 16:53:21,2016-12-20 02:45:16,killrweather/killrweather,inactive,,2021-11-09 01:47:51.283394 -Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2024-03-14 03:51:11,1623.0,622.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,inactive,4.0, +killrweather,https://github.com/killrweather/killrweather,NEW,Data,2024-03-17 22:32:09,1184.0,401.0,5.0,2014-10-07 16:53:21,2016-12-20 02:45:16,killrweather/killrweather,inactive,,2021-11-09 01:47:51.283394 +Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises to book [advances in financial machine learning](https://www.wiley.com/en-us/Advances+in+Financial+Machine+Learning-p-9781119482109). Relevant topics include data cleaning and outlier detection (using MAD),Data Processing Techniques and Transformations,2024-03-20 06:52:49,1626.0,623.0,4.0,2018-04-25 17:22:40,2020-01-16 17:25:41,BlackArbsCEO/Adv_Fin_ML_Exercises,inactive,4.0, Twitter-Trends,https://github.com/Medha11/Twitter-Trends,sentiment analysis baed on twitter data. Relevant topics include data cleaning/tokenization/data aggregation using mangodb etc.,Data Processing Techniques and Transformations,2024-03-14 03:02:58,94.0,25.0,1.0,2017-05-22 17:07:45,2017-05-23 08:06:27,Medha11/Twitter-Trends,inactive,3.0,12:49.2 finserv-application-blueprint,https://github.com/mapr-demos/finserv-application-blueprint,generate streamable data using mapr converged data platfrom built mostly in java. Uses apache [zepplin](https://zeppelin.apache.org/) for web visualization ,Data Processing Techniques and Transformations,2023-07-15 16:07:53,83.0,63.0,5.0,2016-09-26 19:42:54,2021-06-07 17:38:13,mapr-demos/finserv-application-blueprint,inactive,2.0,12:49.2 -Major-project-list,https://github.com/ManojKumarPatnaik/Major-project-list,NEW,Data Processing Techniques and Transformations,2024-03-12 04:10:31,72.0,18.0,2.0,2021-09-04 11:17:44,2024-02-10 11:02:14,ManojKumarPatnaik/Major-project-list,active,,2023-10-31 01:43:26.040727 -plaid-to-gsheets,https://github.com/williamlmao/plaid-to-gsheets,NEW,Data Processing Techniques and Transformations,2024-03-16 03:04:19,56.0,3.0,1.0,2021-12-12 19:53:14,2023-02-03 15:36:49,williamlmao/plaid-to-gsheets,active,,2024-01-02 01:47:44.085225 -CryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2024-03-08 23:55:45,267.0,73.0,7.0,2019-06-02 05:48:39,2022-09-09 15:57:24,microsoft/CryptoNets,active,2.0,12:49.2 +Major-project-list,https://github.com/ManojKumarPatnaik/Major-project-list,NEW,Data Processing Techniques and Transformations,2024-03-17 08:45:54,73.0,18.0,3.0,2021-09-04 11:17:44,2024-03-17 16:40:46,ManojKumarPatnaik/Major-project-list,active,,2023-10-31 01:43:26.040727 +plaid-to-gsheets,https://github.com/williamlmao/plaid-to-gsheets,NEW,Data Processing Techniques and Transformations,2024-03-17 21:34:36,58.0,3.0,1.0,2021-12-12 19:53:14,2023-02-03 15:36:49,williamlmao/plaid-to-gsheets,active,,2024-01-02 01:47:44.085225 +CryptoNets,https://github.com/microsoft/CryptoNets,CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with [Homomorphic Encryption](https://www.cs.cmu.edu/~odonnell/hits09/gentry-homomorphic-encryption.pdf). Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted.,Data Processing Techniques and Transformations,2024-03-22 15:05:13,268.0,73.0,7.0,2019-06-02 05:48:39,2022-09-09 15:57:24,microsoft/CryptoNets,active,2.0,12:49.2 Google-Finance-Stock-Data-Analysis,https://github.com/hpnhxxwn/Google-Finance-Stock-Data-Analysis,data processing platform which stream data from kafka. The example shows two incoming data stream stock vs tweets and two spark streams are created to consume the kafka data then end results are stored in cassandra. Older tech stacks were used and not actively maintained.,Data Processing Techniques and Transformations,2023-09-28 03:20:32,78.0,13.0,1.0,2017-07-23 02:59:59,2017-07-23 03:10:35,hpnhxxwn/Google-Finance-Stock-Data-Analysis,inactive,3.0,12:49.2 -cointrader,https://github.com/timolson/cointrader,java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders,Data Processing Techniques and Transformations,2024-02-22 22:14:25,440.0,166.0,10.0,2014-06-01 01:14:12,2022-06-21 01:03:49,timolson/cointrader,active,2.0,12:49.2 +cointrader,https://github.com/timolson/cointrader,java based platform for trading crypto. Relevant sections including using esper event queries to transform data and place orders,Data Processing Techniques and Transformations,2024-03-19 16:25:21,441.0,166.0,10.0,2014-06-01 01:14:12,2022-06-21 01:03:49,timolson/cointrader,active,2.0,12:49.2 freqtrade-gym,https://github.com/hugocen/freqtrade-gym,NEW,Deep Learning And Reinforcement Learning,2024-03-04 22:24:30,217.0,46.0,2.0,2020-09-23 12:57:20,2021-10-11 07:36:32,hugocen/freqtrade-gym,inactive,,2021-11-09 01:48:11.420110 -DQN-Trading,https://github.com/MehranTaghian/DQN-Trading,NEW,Deep Learning And Reinforcement Learning,2024-03-15 14:59:22,121.0,47.0,1.0,2021-08-27 21:07:21,2021-10-09 05:50:21,MehranTaghian/DQN-Trading,inactive,,2023-10-17 01:44:05.308179 -QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2024-03-16 21:11:04,488.0,182.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1 -Reinforcement-Learning-for-Trading,https://github.com/nicknochnack/Reinforcement-Learning-for-Trading,NEW,Deep Learning And Reinforcement Learning,2024-02-25 18:05:40,118.0,111.0,1.0,2021-03-15 09:13:21,2021-03-15 09:16:53,nicknochnack/Reinforcement-Learning-for-Trading,inactive,,2023-09-05 01:39:59.871422 +DQN-Trading,https://github.com/MehranTaghian/DQN-Trading,NEW,Deep Learning And Reinforcement Learning,2024-03-21 10:12:12,120.0,47.0,1.0,2021-08-27 21:07:21,2021-10-09 05:50:21,MehranTaghian/DQN-Trading,inactive,,2023-10-17 01:44:05.308179 +QLearning_Trading,https://github.com/ucaiado/QLearning_Trading,NEW,Deep Learning And Reinforcement Learning,2024-03-19 22:17:49,489.0,182.0,1.0,2016-08-10 06:02:23,2016-10-15 02:36:09,ucaiado/QLearning_Trading,inactive,,39:11.1 +Reinforcement-Learning-for-Trading,https://github.com/nicknochnack/Reinforcement-Learning-for-Trading,NEW,Deep Learning And Reinforcement Learning,2024-03-22 22:40:06,119.0,113.0,1.0,2021-03-15 09:13:21,2021-03-15 09:16:53,nicknochnack/Reinforcement-Learning-for-Trading,inactive,,2023-09-05 01:39:59.871422 TradingGym,https://github.com/cove9988/TradingGym,NEW,Deep Learning And Reinforcement Learning,2024-03-15 15:28:00,206.0,57.0,4.0,2017-11-06 00:50:01,2022-08-30 00:47:55,cove9988/TradingGym,active,,39:11.1 -TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2024-03-15 02:40:05,1438.0,344.0,3.0,2017-05-01 13:53:32,2023-08-12 05:37:32,Yvictor/TradingGym,active,,39:11.1 +TradingGym,https://github.com/Yvictor/TradingGym,NEW,Deep Learning And Reinforcement Learning,2024-03-21 20:17:51,1439.0,344.0,3.0,2017-05-01 13:53:32,2023-08-12 05:37:32,Yvictor/TradingGym,active,,39:11.1 Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning And Reinforcement Learning,2024-02-15 11:25:00,463.0,158.0,2.0,2016-12-12 02:15:12,2017-03-04 08:37:29,keon/deepstock,inactive,4.0, -gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2024-03-16 22:37:38,694.0,252.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1 +gym-trading,https://github.com/hackthemarket/gym-trading,NEW,Deep Learning And Reinforcement Learning,2024-03-17 14:23:08,693.0,252.0,2.0,2016-12-09 20:46:19,2017-12-24 15:34:37,hackthemarket/gym-trading,inactive,,39:11.1 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,2024-01-19 10:18:51,214.0,46.0,2.0,2019-04-22 10:03:21,2020-09-28 09:07:18,Kostis-S-Z/trading-rl,inactive,3.0,3/31/21 8:00 -tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2024-03-17 00:49:16,4348.0,1001.0,45.0,2019-07-30 21:28:32,2022-08-23 22:54:23,tensortrade-org/tensortrade,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,2024-02-21 15:09:13,342.0,123.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,inactive,3.0,3/31/21 8:00 +tensortrade,https://github.com/tensortrade-org/tensortrade,NEW,Deep Learning And Reinforcement Learning,2024-03-23 22:44:31,4355.0,1002.0,45.0,2019-07-30 21:28:32,2022-08-23 22:54:23,tensortrade-org/tensortrade,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,2024-03-20 00:52:37,343.0,123.0,1.0,2018-02-25 17:41:42,2020-12-01 22:06:39,golsun/deep-RL-trading,inactive,3.0,3/31/21 8:00 rl,https://github.com/druce/rl,NEW,Deep Learning And Reinforcement Learning,2024-03-11 09:02:24,104.0,26.0,2.0,2019-10-19 04:08:30,2023-08-25 18:34:01,druce/rl,active,,2023-11-14 01:44:53.161687 -maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2024-03-12 02:30:13,795.0,151.0,22.0,2019-12-27 06:48:27,2023-10-30 10:34:18,microsoft/maro,active,,39:11.1 +maro,https://github.com/microsoft/maro,NEW,Deep Learning And Reinforcement Learning,2024-03-23 19:35:36,797.0,151.0,22.0,2019-12-27 06:48:27,2023-10-30 10:34:18,microsoft/maro,active,,39:11.1 pairstrade-fyp-2019,https://github.com/wywongbd/pairstrade-fyp-2019,NEW,Deep Learning And Reinforcement Learning,2024-02-20 09:48:28,249.0,73.0,2.0,2018-09-07 07:51:06,2020-05-13 05:06:51,wywongbd/pairstrade-fyp-2019,inactive,,39:11.1 StarTrader,https://github.com/jiewwantan/StarTrader,NEW,Deep Learning And Reinforcement Learning,2024-02-28 12:44:59,103.0,44.0,1.0,2019-03-04 04:38:15,2019-09-12 21:24:15,jiewwantan/StarTrader,inactive,,2023-07-18 02:29:48.360767 -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,2024-03-12 08:22:37,1688.0,533.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,inactive,5.0,3/31/21 8:00 -stock-prediction-deep-neural-learning,https://github.com/JordiCorbilla/stock-prediction-deep-neural-learning,NEW,Deep Learning And Reinforcement Learning,2024-03-17 01:04:31,413.0,92.0,1.0,2020-07-01 17:31:42,2024-01-03 19:18:12,JordiCorbilla/stock-prediction-deep-neural-learning,active,,2021-11-23 01:48:24.660467 -LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2024-03-13 11:50:46,1611.0,445.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,inactive,4.0, -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,2024-03-16 16:11:07,7318.0,2642.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,inactive,5.0,3/31/21 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,2024-03-13 22:29:07,669.0,292.0,12.0,2018-09-19 03:17:06,2024-03-15 13:46:17,AI4Finance-Foundation/FinRL-Tutorials,active,3.0,3/31/21 8:00 -An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,https://github.com/ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,NEW,Deep Learning And Reinforcement Learning,2024-03-16 11:43:21,146.0,81.0,1.0,2020-10-05 09:09:24,2020-10-06 13:32:48,ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,inactive,,2022-07-26 03:23:47.421493 -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,2024-03-13 06:41:36,190.0,83.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,inactive,3.0,3/31/21 8:00 -AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2024-03-16 18:36:23,3905.0,1628.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0, -TradeMaster,https://github.com/TradeMaster-NTU/TradeMaster,NEW,Deep Learning And Reinforcement Learning,2024-03-15 12:40:48,1019.0,218.0,12.0,2022-08-23 13:02:43,2024-02-28 04:13:16,TradeMaster-NTU/TradeMaster,active,,2023-03-14 01:58:54.081796 -reinforcement_learning_financial_trading,https://github.com/matlab-deep-learning/reinforcement_learning_financial_trading,NEW,Deep Learning And Reinforcement Learning,2024-03-11 06:13:45,136.0,39.0,1.0,2020-02-04 13:06:40,2024-03-07 02:11:19,matlab-deep-learning/reinforcement_learning_financial_trading,active,,2022-08-09 03:05:52.058925 -RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2024-03-14 02:12:29,783.0,327.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0, -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,2024-03-12 09:00:15,368.0,124.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0, +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,2024-03-24 00:09:35,1691.0,533.0,15.0,2019-04-27 18:35:15,2019-10-17 16:25:49,notadamking/RLTrader,inactive,5.0,3/31/21 8:00 +stock-prediction-deep-neural-learning,https://github.com/JordiCorbilla/stock-prediction-deep-neural-learning,NEW,Deep Learning And Reinforcement Learning,2024-03-23 12:49:59,415.0,91.0,1.0,2020-07-01 17:31:42,2024-01-03 19:18:12,JordiCorbilla/stock-prediction-deep-neural-learning,active,,2021-11-23 01:48:24.660467 +LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning And Reinforcement Learning,2024-03-23 13:16:43,1611.0,443.0,2.0,2018-10-07 03:58:26,2019-08-03 09:00:44,VivekPa/AIAlpha,inactive,4.0, +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,2024-03-23 22:30:26,7345.0,2654.0,2.0,2017-12-18 10:49:59,2021-01-05 10:31:50,huseinzol05/Stock-Prediction-Models,inactive,5.0,3/31/21 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,2024-03-23 17:44:13,674.0,296.0,12.0,2018-09-19 03:17:06,2024-03-15 13:46:17,AI4Finance-Foundation/FinRL-Tutorials,active,3.0,3/31/21 8:00 +An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,https://github.com/ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,NEW,Deep Learning And Reinforcement Learning,2024-03-20 00:49:41,147.0,82.0,1.0,2020-10-05 09:09:24,2020-10-06 13:32:48,ThibautTheate/An-Application-of-Deep-Reinforcement-Learning-to-Algorithmic-Trading,inactive,,2022-07-26 03:23:47.421493 +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,2024-03-23 02:38:38,192.0,83.0,1.0,2018-05-11 00:52:14,2019-10-26 14:22:44,saeed349/Deep-Reinforcement-Learning-in-Trading,inactive,3.0,3/31/21 8:00 +AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning And Reinforcement Learning,2024-03-23 15:38:48,3913.0,1631.0,1.0,2019-01-09 08:02:47,2019-02-11 16:32:47,borisbanushev/stockpredictionai,inactive,5.0, +TradeMaster,https://github.com/TradeMaster-NTU/TradeMaster,NEW,Deep Learning And Reinforcement Learning,2024-03-23 20:23:13,1026.0,217.0,12.0,2022-08-23 13:02:43,2024-02-28 04:13:16,TradeMaster-NTU/TradeMaster,active,,2023-03-14 01:58:54.081796 +reinforcement_learning_financial_trading,https://github.com/matlab-deep-learning/reinforcement_learning_financial_trading,NEW,Deep Learning And Reinforcement Learning,2024-03-18 00:43:57,137.0,39.0,1.0,2020-02-04 13:06:40,2024-03-07 02:11:19,matlab-deep-learning/reinforcement_learning_financial_trading,active,,2022-08-09 03:05:52.058925 +RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Deep Learning And Reinforcement Learning,2024-03-23 05:22:15,784.0,327.0,1.0,2016-10-04 14:42:19,2016-12-23 07:34:08,kh-kim/stock_market_reinforcement_learning,inactive,2.0, +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,2024-03-18 14:09:41,370.0,124.0,1.0,2018-08-05 02:13:21,2018-10-01 11:25:53,imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predict,inactive,3.0, RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Deep Learning And Reinforcement Learning,2024-03-10 12:58:56,1448.0,508.0,3.0,2016-06-11 07:27:10,2018-01-22 14:35:50,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,2024-03-16 21:10:07,1832.0,681.0,10.0,2020-07-26 13:12:53,2024-01-31 09:58:57,AI4Finance-Foundation/FinRL-Trading,active,4.0,3/31/21 8:00 +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,2024-03-23 16:38:26,1842.0,684.0,10.0,2020-07-26 13:12:53,2024-01-31 09:58:57,AI4Finance-Foundation/FinRL-Trading,active,4.0,3/31/21 8:00 Pair-Trading-Reinforcement-Learning,https://github.com/wai-i/Pair-Trading-Reinforcement-Learning,NEW,Deep Learning And Reinforcement Learning,2024-03-08 07:47:32,3.0,0.0,1.0,2019-06-09 22:50:37,2023-07-16 17:00:56,wi-0/Pair-Trading-Reinforcement-Learning,active,,39:11.1 -Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2024-02-20 17:33:32,226.0,75.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0, -slow-momentum-fast-reversion,https://github.com/kieranjwood/slow-momentum-fast-reversion,NEW,Deep Learning And Reinforcement Learning,2024-03-16 00:11:51,202.0,76.0,1.0,2021-06-27 14:49:05,2022-11-24 10:59:47,kieranjwood/slow-momentum-fast-reversion,active,,2022-11-29 02:22:22.902449 -Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2024-03-14 15:21:33,1952.0,471.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0, -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,2024-03-09 05:58:12,1313.0,340.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00 -Deep_Learning_Machine_Learning_Stock,https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock,NEW,Deep Learning And Reinforcement Learning,2024-03-13 17:19:45,1089.0,296.0,1.0,2018-09-29 23:38:06,2024-03-01 00:12:23,LastAncientOne/Deep_Learning_Machine_Learning_Stock,active,,2023-02-14 02:18:17.230806 +Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning And Reinforcement Learning,2024-03-18 09:03:08,227.0,75.0,1.0,2016-07-12 12:56:10,2018-02-16 02:43:36,LiamConnell/deep-algotrading,inactive,3.0, +slow-momentum-fast-reversion,https://github.com/kieranjwood/slow-momentum-fast-reversion,NEW,Deep Learning And Reinforcement Learning,2024-03-16 00:11:51,202.0,77.0,1.0,2021-06-27 14:49:05,2022-11-24 10:59:47,kieranjwood/slow-momentum-fast-reversion,active,,2022-11-29 02:22:22.902449 +Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning And Reinforcement Learning,2024-03-21 17:12:35,1955.0,471.0,1.0,2017-03-09 06:11:06,2017-03-19 07:42:49,achillesrasquinha/bulbea,inactive,5.0, +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,2024-03-18 03:54:01,1314.0,340.0,2.0,2018-03-10 11:22:00,2018-09-02 17:21:38,Ceruleanacg/Personae,inactive,5.0,3/31/21 8:00 +Deep_Learning_Machine_Learning_Stock,https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock,NEW,Deep Learning And Reinforcement Learning,2024-03-23 21:06:03,1098.0,296.0,1.0,2018-09-29 23:38:06,2024-03-01 00:12:23,LastAncientOne/Deep_Learning_Machine_Learning_Stock,active,,2023-02-14 02:18:17.230806 LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning And Reinforcement Learning,2023-10-29 17:25:09,23.0,9.0,1.0,2018-05-13 02:39:32,2019-02-25 00:26:42,RajatHanda/Finance-Forecasting,inactive,3.0, -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,2024-03-05 11:00:14,300.0,126.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0, -RL-Bitcoin-trading-bot,https://github.com/pythonlessons/RL-Bitcoin-trading-bot,NEW,Deep Learning And Reinforcement Learning,2024-03-06 02:27:12,360.0,202.0,1.0,2020-12-02 06:07:14,2023-11-24 10:30:07,pythonlessons/RL-Bitcoin-trading-bot,active,,2021-11-09 01:48:11.420110 +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,2024-03-20 09:49:19,303.0,126.0,1.0,2017-05-18 16:47:11,2017-05-18 16:56:38,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,inactive,3.0, +RL-Bitcoin-trading-bot,https://github.com/pythonlessons/RL-Bitcoin-trading-bot,NEW,Deep Learning And Reinforcement Learning,2024-03-21 10:12:12,359.0,201.0,1.0,2020-12-02 06:07:14,2023-11-24 10:30:07,pythonlessons/RL-Bitcoin-trading-bot,active,,2021-11-09 01:48:11.420110 RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Deep Learning And Reinforcement Learning,2024-03-16 06:40:20,171.0,61.0,1.0,2016-10-21 02:47:17,2017-04-07 08:11:57,jjakimoto/DQN,inactive,, -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,2024-03-06 02:21:19,334.0,134.0,2.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,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,2024-03-24 00:14:10,337.0,133.0,2.0,2017-03-10 10:52:02,2018-06-11 08:07:02,PiSimo/BitcoinForecast,inactive,3.0,3/31/21 8:00 Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning And Reinforcement Learning,2024-03-15 16:34:04,703.0,209.0,2.0,2018-09-10 06:34:53,2018-11-21 07:39:31,VivekPa/IntroNeuralNetworks,inactive,4.0, -Quantitative-finance-papers-using-deep-learning,https://github.com/Leefinance/Quantitative-finance-papers-using-deep-learning,NEW,Deep Learning And Reinforcement Learning,2024-03-11 01:24:19,112.0,31.0,1.0,2019-08-22 13:16:08,2023-05-21 11:04:12,Leefinance/Quantitative-finance-papers-using-deep-learning,active,,2023-11-07 01:46:19.411093 -Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2024-03-16 22:52:11,540.0,157.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1 +Quantitative-finance-papers-using-deep-learning,https://github.com/Leefinance/Quantitative-finance-papers-using-deep-learning,NEW,Deep Learning And Reinforcement Learning,2024-03-22 13:29:54,113.0,31.0,1.0,2019-08-22 13:16:08,2023-05-21 11:04:12,Leefinance/Quantitative-finance-papers-using-deep-learning,active,,2023-11-07 01:46:19.411093 +Trading-Gym,https://github.com/thedimlebowski/Trading-Gym,NEW,Deep Learning And Reinforcement Learning,2024-03-19 06:32:43,541.0,156.0,3.0,2017-06-13 13:14:48,2017-07-10 08:09:30,thedimlebowski/Trading-Gym,inactive,,39:11.1 gym-continuousDoubleAuction,https://github.com/ChuaCheowHuan/gym-continuousDoubleAuction,NEW,Deep Learning And Reinforcement Learning,2024-03-08 17:28:20,136.0,32.0,2.0,2019-07-20 14:53:16,2020-07-22 04:22:36,ChuaCheowHuan/gym-continuousDoubleAuction,inactive,,2022-07-26 03:23:47.421493 -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,2024-03-10 21:02:26,249.0,76.0,2.0,2019-02-23 12:01:21,2021-08-31 15:34:07,sachink2010/AutomatedStockTrading-DeepQ-Learning,inactive,3.0,3/31/21 8:00 -RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2024-03-11 10:36:03,325.0,102.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,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,2024-03-14 02:07:52,519.0,214.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,inactive,3.0,3/31/21 8:00 +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,2024-03-20 00:21:20,250.0,76.0,2.0,2019-02-23 12:01:21,2021-08-31 15:34:07,sachink2010/AutomatedStockTrading-DeepQ-Learning,inactive,3.0,3/31/21 8:00 +RLQuant,https://github.com/yuriak/RLQuant,NEW,Deep Learning And Reinforcement Learning,2024-03-23 16:38:52,326.0,102.0,1.0,2018-04-05 05:42:44,2018-08-13 04:18:29,yuriak/RLQuant,inactive,,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,2024-03-23 13:52:34,521.0,214.0,2.0,2019-02-16 21:18:00,2020-11-29 20:12:59,Rachnog/Advanced-Deep-Trading,inactive,3.0,3/31/21 8:00 a3c_trading,https://github.com/evgps/a3c_trading,NEW,Deep Learning And Reinforcement Learning,2024-02-28 11:46:20,415.0,131.0,1.0,2018-06-04 15:30:16,2023-01-24 01:52:36,evgps/a3c_trading,active,,39:11.1 -FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2024-03-16 22:31:26,8880.0,2173.0,100.0,2020-07-26 13:18:16,2024-03-15 07:50:48,AI4Finance-Foundation/FinRL,active,,13:03.7 -IPythonScripts,https://github.com/mgroncki/IPythonScripts,NEW,Deep Learning And Reinforcement Learning,2024-02-23 14:24:32,133.0,68.0,1.0,2013-08-18 16:26:25,2018-11-18 10:43:05,mgroncki/IPythonScripts,inactive,,2023-01-31 02:16:46.506883 -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,2024-03-16 16:11:09,845.0,325.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,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,2024-03-13 17:19:45,1089.0,296.0,1.0,2018-09-29 23:38:06,2024-03-01 00:12:23,LastAncientOne/Deep_Learning_Machine_Learning_Stock,active,3.0,3/31/21 8:00 -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,2024-03-15 14:08:58,503.0,116.0,2.0,2019-05-19 22:20:05,2023-03-27 21:49:33,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00 +FinRL,https://github.com/AI4Finance-LLC/FinRL,NEW,Deep Learning And Reinforcement Learning,2024-03-23 17:05:58,8912.0,2180.0,102.0,2020-07-26 13:18:16,2024-03-23 03:09:58,AI4Finance-Foundation/FinRL,active,,13:03.7 +IPythonScripts,https://github.com/mgroncki/IPythonScripts,NEW,Deep Learning And Reinforcement Learning,2024-02-23 14:24:32,133.0,69.0,1.0,2013-08-18 16:26:25,2018-11-18 10:43:05,mgroncki/IPythonScripts,inactive,,2023-01-31 02:16:46.506883 +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,2024-03-23 13:16:39,850.0,325.0,1.0,2018-08-13 10:44:08,2020-01-23 04:41:20,pskrunner14/trading-bot,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,2024-03-23 21:06:03,1098.0,296.0,1.0,2018-09-29 23:38:06,2024-03-01 00:12:23,LastAncientOne/Deep_Learning_Machine_Learning_Stock,active,3.0,3/31/21 8:00 +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,2024-03-21 06:56:40,506.0,117.0,2.0,2019-05-19 22:20:05,2023-03-27 21:49:33,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3.0,3/31/21 8:00 Machine-Learning-and-Reinforcement-Learning-in-Finance,https://github.com/joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,NEW,Deep Learning And Reinforcement Learning,2024-02-16 14:50:35,240.0,118.0,1.0,2018-06-26 04:30:08,2018-09-23 16:50:33,joelowj/Machine-Learning-and-Reinforcement-Learning-in-Finance,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,2024-02-14 03:23:25,278.0,156.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,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,2024-03-16 19:00:31,1370.0,296.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,inactive,4.0,3/31/21 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,2024-03-17 19:24:13,279.0,156.0,1.0,2017-08-21 16:00:42,2017-08-21 17:23:48,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,2024-03-23 07:12:07,1375.0,296.0,1.0,2018-11-26 03:23:04,2021-01-01 09:41:21,cbailes/awesome-deep-trading,inactive,4.0,3/31/21 8:00 rl_trading,https://github.com/ucaiado/rl_trading,NEW,Deep Learning And Reinforcement Learning,2024-03-04 02:08:10,264.0,117.0,1.0,2017-05-29 22:19:00,2017-08-29 14:54:50,ucaiado/rl_trading,inactive,,39:11.1 -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,2024-03-14 14:48:38,790.0,230.0,3.0,2018-06-21 01:06:01,2021-11-30 13:52:18,sadighian/crypto-rl,inactive,3.0,3/31/21 8:00 -Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2024-03-14 16:45:45,1398.0,695.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0, +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,2024-03-21 19:09:00,795.0,231.0,3.0,2018-06-21 01:06:01,2021-11-30 13:52:18,sadighian/crypto-rl,inactive,3.0,3/31/21 8:00 +Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning And Reinforcement Learning,2024-03-17 19:26:13,1399.0,695.0,1.0,2016-06-18 18:23:06,2018-08-07 15:24:45,Rachnog/Deep-Trading,inactive,5.0, RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Deep Learning And Reinforcement Learning,2024-03-07 17:19:49,733.0,213.0,1.0,2017-09-21 17:05:19,2018-04-13 16:33:21,samre12/deep-trading-agent,inactive,3.0, -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,2024-03-16 22:31:26,8880.0,2173.0,100.0,2020-07-26 13:18:16,2024-03-15 07:50:48,AI4Finance-Foundation/FinRL,active,5.0,3/31/21 8:00 +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,2024-03-23 17:05:58,8912.0,2180.0,102.0,2020-07-26 13:18:16,2024-03-23 03:09:58,AI4Finance-Foundation/FinRL,active,5.0,3/31/21 8:00 RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Deep Learning And Reinforcement Learning,2023-09-15 17:16:23,37.0,10.0,5.0,2019-01-16 00:43:36,2020-03-19 20:28:08,GrantStenger/rl-finance,inactive,2.0, RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Deep Learning And Reinforcement Learning,,,,,,,,,4.0, Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,2021-10-12 20:31:37,2.0,3.0,0.0,2017-12-09 18:50:20,2018-07-09 09:48:36,irajwani/numerical_methods_python,inactive,, -gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2024-03-16 20:16:13,2407.0,451.0,21.0,2018-12-14 21:10:40,2024-03-13 09:01:46,goldmansachs/gs-quant,active,,23:51.4 +gs-quant,https://github.com/goldmansachs/gs-quant,NEW,Derivatives and Hedging,2024-03-21 19:24:39,2420.0,450.0,21.0,2018-12-14 21:10:40,2024-03-18 17:31:08,goldmansachs/gs-quant,active,,23:51.4 openAlgo,https://github.com/mtompkins/openAlgo,NEW,Derivatives and Hedging,2022-08-20 19:56:21,181.0,87.0,2.0,2013-05-28 14:46:53,2017-03-24 20:00:24,mtompkins/openAlgo,inactive,,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,2023-06-02 02:45:49,27.0,20.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,, -StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2024-03-16 22:34:19,6502.0,1654.0,16.0,2014-12-08 07:53:44,2024-03-15 19:01:46,StockSharp/StockSharp,active,,23:51.4 -opstrat,https://github.com/hashABCD/opstrat,NEW,Derivatives and Hedging,2024-02-28 20:44:40,127.0,59.0,1.0,2021-03-17 14:31:33,2021-07-25 17:16:11,hashABCD/opstrat,inactive,,2023-04-19 02:00:49.885080 -10101,https://github.com/get10101/10101,NEW,Derivatives and Hedging,2024-03-16 06:24:04,108.0,19.0,11.0,2023-01-11 04:46:13,2024-03-15 17:03:01,get10101/10101,active,,2024-01-24 01:51:48.653651 -quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2024-03-17 00:22:16,5119.0,1064.0,2.0,2018-04-03 14:08:14,2022-12-05 17:28:35,je-suis-tm/quant-trading,active,,23:51.4 +StockSharp,https://github.com/StockSharp/StockSharp,NEW,Derivatives and Hedging,2024-03-23 20:02:27,6520.0,1657.0,16.0,2014-12-08 07:53:44,2024-03-22 12:05:49,StockSharp/StockSharp,active,,23:51.4 +opstrat,https://github.com/hashABCD/opstrat,NEW,Derivatives and Hedging,2024-03-22 15:47:47,129.0,59.0,1.0,2021-03-17 14:31:33,2021-07-25 17:16:11,hashABCD/opstrat,inactive,,2023-04-19 02:00:49.885080 +10101,https://github.com/get10101/10101,NEW,Derivatives and Hedging,2024-03-22 20:15:14,117.0,20.0,11.0,2023-01-11 04:46:13,2024-03-22 23:03:04,get10101/10101,active,,2024-01-24 01:51:48.653651 +quant-trading,https://github.com/je-suis-tm/quant-trading,NEW,Derivatives and Hedging,2024-03-23 21:17:22,5153.0,1070.0,2.0,2018-04-03 14:08:14,2022-12-05 17:28:35,je-suis-tm/quant-trading,active,,23:51.4 Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,2023-12-18 16:29:38,7.0,6.0,1.0,2018-05-18 18:08:16,2018-09-21 19:59:01,rstreppa/valuation-convertibles-Goldman1994,inactive,, -FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2024-03-16 20:16:08,1820.0,276.0,21.0,2019-10-27 15:04:56,2024-03-12 09:26:46,domokane/FinancePy,active,,23:51.4 -OptionSuite,https://github.com/sirnfs/OptionSuite,NEW,Derivatives and Hedging,2024-03-15 07:49:27,178.0,54.0,2.0,2017-04-13 04:39:44,2023-07-10 14:45:36,sirnfs/OptionSuite,active,,2022-11-16 02:44:22.214502 -Quantsbin,https://github.com/quantsbin/Quantsbin,NEW,Derivatives and Hedging,2024-03-16 06:38:19,446.0,69.0,3.0,2018-07-04 02:23:09,2021-05-23 18:14:26,quantsbin/Quantsbin,inactive,,2022-01-26 01:55:50.593433 -harvest,https://github.com/tfukaza/harvest,NEW,Derivatives and Hedging,2024-02-19 23:24:18,114.0,24.0,5.0,2021-06-25 21:29:38,2022-08-21 00:00:43,tfukaza/harvest,active,,2023-01-04 02:08:30.343029 +FinancePy,https://github.com/domokane/FinancePy,NEW,Derivatives and Hedging,2024-03-23 01:34:20,1829.0,277.0,21.0,2019-10-27 15:04:56,2024-03-12 09:26:46,domokane/FinancePy,active,,23:51.4 +OptionSuite,https://github.com/sirnfs/OptionSuite,NEW,Derivatives and Hedging,2024-03-23 23:03:08,181.0,55.0,2.0,2017-04-13 04:39:44,2023-07-10 14:45:36,sirnfs/OptionSuite,active,,2022-11-16 02:44:22.214502 +Quantsbin,https://github.com/quantsbin/Quantsbin,NEW,Derivatives and Hedging,2024-03-21 05:40:12,448.0,69.0,3.0,2018-07-04 02:23:09,2021-05-23 18:14:26,quantsbin/Quantsbin,inactive,,2022-01-26 01:55:50.593433 +harvest,https://github.com/tfukaza/harvest,NEW,Derivatives and Hedging,2024-03-19 02:10:21,113.0,24.0,5.0,2021-06-25 21:29:38,2022-08-21 00:00:43,tfukaza/harvest,active,,2023-01-04 02:08:30.343029 Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,2024-02-10 08:16:40,31.0,12.0,1.0,2017-04-21 10:58:56,2017-08-02 21:41:06,FinTechies/HedgingRL,inactive,, 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,2023-09-10 02:52:18,6.0,4.0,1.0,2018-05-22 18:27:26,2018-05-22 18:30:24,rstreppa/valuation-OptionStrategies,inactive,, -tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2024-03-16 07:44:46,1233.0,333.0,22.0,2020-04-03 21:19:12,2024-03-13 03:58:13,alexgolec/tda-api,active,,23:51.4 +tda-api,https://github.com/alexgolec/tda-api,NEW,Derivatives and Hedging,2024-03-22 15:14:52,1236.0,333.0,22.0,2020-04-03 21:19:12,2024-03-13 03:58:13,alexgolec/tda-api,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,2022-10-20 17:48:50,3.0,3.0,1.0,2016-04-29 03:51:25,2018-01-16 01:24:07,wanglouis49/risk_estimation,inactive,, -paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2024-03-02 08:59:38,244.0,73.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4 -Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2024-03-16 22:18:37,671.0,212.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,inactive,,23:51.4 -tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2024-03-16 06:00:14,4225.0,540.0,41.0,2019-07-24 16:09:50,2023-08-15 07:37:46,google/tf-quant-finance,active,,23:51.4 -AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2024-03-16 22:31:33,764.0,173.0,2.0,2019-03-14 09:33:37,2023-08-13 07:15:09,JerBouma/AlgorithmicTrading,active,,23:51.4 -QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2024-03-09 12:14:18,366.0,171.0,16.0,2013-08-22 14:51:43,2024-02-16 16:00:10,amaggiulli/QLNet,active,,23:51.4 -quantlib,https://github.com/piquette/quantlib,NEW,Derivatives and Hedging,2024-02-04 14:09:18,130.0,29.0,2.0,2020-04-12 14:20:07,2021-04-09 14:53:41,piquette/quantlib,inactive,,2023-04-05 01:41:15.227024 -FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2024-03-16 19:34:37,2732.0,330.0,11.0,2021-01-28 18:36:09,2024-03-10 12:10:50,JerBouma/FinanceDatabase,active,,23:51.4 -pyBlackScholesAnalytics,https://github.com/gabrielepompa88/pyBlackScholesAnalytics,NEW,Derivatives and Hedging,2024-03-07 16:33:04,103.0,27.0,1.0,2020-08-11 14:18:39,2020-09-02 10:27:27,gabrielepompa88/pyBlackScholesAnalytics,inactive,,2024-02-28 01:38:51.867058 +paperbroker,https://github.com/philipodonnell/paperbroker,NEW,Derivatives and Hedging,2024-03-21 02:23:24,245.0,73.0,3.0,2017-07-06 02:04:51,2018-04-08 18:37:57,philipodonnell/paperbroker,inactive,,23:51.4 +Options-Trading-Strategies-in-Python,https://github.com/PyPatel/Options-Trading-Strategies-in-Python,NEW,Derivatives and Hedging,2024-03-21 11:55:56,672.0,212.0,1.0,2017-08-30 06:00:15,2019-08-21 15:47:57,PyPatel/Options-Trading-Strategies-in-Python,inactive,,23:51.4 +tf-quant-finance,https://github.com/google/tf-quant-finance,NEW,Derivatives and Hedging,2024-03-23 14:02:52,4234.0,542.0,41.0,2019-07-24 16:09:50,2023-08-15 07:37:46,google/tf-quant-finance,active,,23:51.4 +AlgorithmicTrading,https://github.com/JerBouma/AlgorithmicTrading,NEW,Derivatives and Hedging,2024-03-20 01:59:06,771.0,174.0,2.0,2019-03-14 09:33:37,2023-08-13 07:15:09,JerBouma/AlgorithmicTrading,active,,23:51.4 +QLNet,https://github.com/amaggiulli/QLNet,NEW,Derivatives and Hedging,2024-03-19 08:14:57,367.0,172.0,16.0,2013-08-22 14:51:43,2024-02-16 16:00:10,amaggiulli/QLNet,active,,23:51.4 +quantlib,https://github.com/piquette/quantlib,NEW,Derivatives and Hedging,2024-03-20 15:54:31,132.0,29.0,2.0,2020-04-12 14:20:07,2021-04-09 14:53:41,piquette/quantlib,inactive,,2023-04-05 01:41:15.227024 +FinanceDatabase,https://github.com/JerBouma/FinanceDatabase,NEW,Derivatives and Hedging,2024-03-23 10:43:26,2746.0,332.0,11.0,2021-01-28 18:36:09,2024-03-17 12:11:47,JerBouma/FinanceDatabase,active,,23:51.4 +pyBlackScholesAnalytics,https://github.com/gabrielepompa88/pyBlackScholesAnalytics,NEW,Derivatives and Hedging,2024-03-23 11:32:05,104.0,27.0,1.0,2020-08-11 14:18:39,2020-09-02 10:27:27,gabrielepompa88/pyBlackScholesAnalytics,inactive,,2024-02-28 01:38:51.867058 Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,2023-12-06 00:46:20,9.0,13.0,1.0,2018-06-06 22:06:06,2018-06-06 22:27:02,rstreppa/valuation-callables-HullWhite,inactive,, tai,https://github.com/fremantle-industries/tai,NEW,Derivatives and Hedging,2024-03-15 11:12:41,446.0,90.0,7.0,2017-07-28 03:07:18,2022-10-04 03:51:40,fremantle-industries/tai,active,,23:51.4 -trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2024-03-11 23:36:44,606.0,120.0,1.0,2019-03-05 03:06:19,2022-11-17 01:42:13,s-brez/trading-server,active,,23:51.4 -bitcoin_volatility_forecasting,https://github.com/chibui191/bitcoin_volatility_forecasting,NEW,Derivatives and Hedging,2024-03-13 12:27:27,181.0,57.0,1.0,2021-07-18 17:51:11,2021-09-10 20:25:41,chibui191/bitcoin_volatility_forecasting,inactive,,2022-11-30 02:18:03.129224 -wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2024-03-16 12:49:47,1187.0,191.0,3.0,2016-01-20 22:03:39,2024-03-09 22:31:06,mcdallas/wallstreet,active,,23:51.4 +trading-server,https://github.com/s-brez/trading-server,NEW,Derivatives and Hedging,2024-03-23 14:36:56,608.0,120.0,1.0,2019-03-05 03:06:19,2022-11-17 01:42:13,s-brez/trading-server,active,,23:51.4 +bitcoin_volatility_forecasting,https://github.com/chibui191/bitcoin_volatility_forecasting,NEW,Derivatives and Hedging,2024-03-22 16:17:16,183.0,58.0,1.0,2021-07-18 17:51:11,2021-09-10 20:25:41,chibui191/bitcoin_volatility_forecasting,inactive,,2022-11-30 02:18:03.129224 +wallstreet,https://github.com/mcdallas/wallstreet,NEW,Derivatives and Hedging,2024-03-23 10:32:09,1194.0,191.0,3.0,2016-01-20 22:03:39,2024-03-09 22:31:06,mcdallas/wallstreet,active,,23:51.4 Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,2024-03-15 07:25:04,494.0,213.0,34.0,2017-07-28 15:48:29,2022-06-16 00:35:12,QuantConnect/Tutorials,active,, Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,, -ibkr-options-volatility-trading,https://github.com/mcf-long-short/ibkr-options-volatility-trading,NEW,Derivatives and Hedging,2024-03-10 05:42:44,135.0,30.0,2.0,2021-05-30 12:40:04,2021-06-05 13:35:03,mcf-long-short/ibkr-options-volatility-trading,inactive,,2023-10-18 01:41:47.528943 -trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2024-03-15 20:18:21,408.0,138.0,3.0,2016-07-24 15:25:30,2024-03-11 00:37:16,rburkholder/trade-frame,active,,23:51.4 -compendium,https://github.com/sambacha/compendium,NEW,Derivatives and Hedging,2024-03-06 21:31:55,186.0,31.0,3.0,2019-05-14 01:07:06,2023-07-29 13:34:50,sambacha/compendium,active,,2022-08-03 03:10:50.181850 +ibkr-options-volatility-trading,https://github.com/mcf-long-short/ibkr-options-volatility-trading,NEW,Derivatives and Hedging,2024-03-19 08:29:22,137.0,30.0,2.0,2021-05-30 12:40:04,2021-06-05 13:35:03,mcf-long-short/ibkr-options-volatility-trading,inactive,,2023-10-18 01:41:47.528943 +trade-frame,https://github.com/rburkholder/trade-frame,NEW,Derivatives and Hedging,2024-03-23 12:05:30,412.0,138.0,3.0,2016-07-24 15:25:30,2024-03-24 01:02:33,rburkholder/trade-frame,active,,23:51.4 +compendium,https://github.com/sambacha/compendium,NEW,Derivatives and Hedging,2024-03-23 03:08:08,187.0,31.0,3.0,2019-05-14 01:07:06,2023-07-29 13:34:50,sambacha/compendium,active,,2022-08-03 03:10:50.181850 FlowAlgo-Options-Trader,https://github.com/SC4RECOIN/FlowAlgo-Options-Trader,NEW,Derivatives and Hedging,2024-03-14 17:35:21,111.0,35.0,1.0,2020-11-12 03:05:58,2021-02-15 19:28:42,SC4RECOIN/FlowAlgo-Options-Trader,inactive,,2023-09-27 01:41:02.763597 -optlib,https://github.com/dbrojas/optlib,NEW,Derivatives and Hedging,2024-03-13 08:14:19,363.0,61.0,4.0,2020-08-17 00:30:14,2022-11-18 19:12:54,dbrojas/optlib,active,,2022-07-27 03:11:05.988327 +optlib,https://github.com/dbrojas/optlib,NEW,Derivatives and Hedging,2024-03-20 04:03:57,365.0,61.0,4.0,2020-08-17 00:30:14,2022-11-18 19:12:54,dbrojas/optlib,active,,2022-07-27 03:11:05.988327 renegade-way,https://github.com/evdubs/renegade-way,NEW,Derivatives and Hedging,2024-03-15 08:42:09,115.0,24.0,1.0,2019-08-24 00:42:24,2024-03-01 01:23:07,evdubs/renegade-way,active,,2023-10-18 01:41:47.528943 -TradingView-Binance-Telegram-Bot,https://github.com/ytrevor81/TradingView-Binance-Telegram-Bot,NEW,Derivatives and Hedging,2024-02-24 11:50:19,125.0,38.0,1.0,2021-02-16 07:16:09,2022-01-04 13:07:22,ytrevor81/TradingView-Binance-Telegram-Bot,inactive,,2023-05-31 02:18:57.033125 +TradingView-Binance-Telegram-Bot,https://github.com/ytrevor81/TradingView-Binance-Telegram-Bot,NEW,Derivatives and Hedging,2024-03-23 14:50:49,128.0,37.0,1.0,2021-02-16 07:16:09,2022-01-04 13:07:22,ytrevor81/TradingView-Binance-Telegram-Bot,inactive,,2023-05-31 02:18:57.033125 MarketAnalysis,https://github.com/Poseyy/MarketAnalysis,NEW,Derivatives and Hedging,2022-07-19 18:30:08,209.0,89.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,p-eq/MarketAnalysis,active,,23:51.4 python-option-calculator,https://github.com/yzoz/python-option-calculator,NEW,Derivatives and Hedging,2024-03-14 23:50:03,115.0,43.0,1.0,2017-02-07 15:46:31,2022-09-13 16:20:00,yzoz/python-option-calculator,active,,2023-11-22 01:50:35.246017 -optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2024-03-15 19:33:43,879.0,149.0,3.0,2017-09-17 01:49:54,2024-01-10 12:19:29,michaelchu/optopsy,active,,23:51.4 -robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2024-03-16 20:59:41,1597.0,439.0,48.0,2018-02-23 00:49:37,2023-08-07 02:52:43,jmfernandes/robin_stocks,active,,23:51.4 +optopsy,https://github.com/michaelchu/optopsy,NEW,Derivatives and Hedging,2024-03-22 17:26:23,882.0,149.0,3.0,2017-09-17 01:49:54,2024-01-10 12:19:29,michaelchu/optopsy,active,,23:51.4 +robin_stocks,https://github.com/jmfernandes/robin_stocks,NEW,Derivatives and Hedging,2024-03-22 22:25:56,1603.0,438.0,48.0,2018-02-23 00:49:37,2023-08-07 02:52:43,jmfernandes/robin_stocks,active,,23:51.4 Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,2024-03-12 16:33:50,553.0,361.0,1.0,2015-07-09 12:27:29,2021-02-22 13:29:18,yhilpisch/dawp,inactive,, betterOptionsTrading,https://github.com/amit0rana/betterOptionsTrading,NEW,Derivatives and Hedging,2024-03-13 05:07:45,100.0,54.0,3.0,2020-04-08 10:34:52,2024-03-13 13:04:00,amit0rana/betterOptionsTrading,active,,2024-02-28 01:38:51.867058 fast_arrow,https://github.com/westonplatter/fast_arrow,NEW,Derivatives and Hedging,2024-02-04 19:58:56,126.0,37.0,5.0,2018-07-19 23:15:25,2020-04-18 18:05:37,westonplatter/fast_arrow,inactive,,23:51.4 -optionlab,https://github.com/rgaveiga/optionlab,NEW,Derivatives and Hedging,2024-03-15 04:10:11,139.0,27.0,2.0,2023-07-04 19:44:27,2024-03-15 19:51:50,rgaveiga/optionlab,active,,2024-01-31 01:39:30.216313 +optionlab,https://github.com/rgaveiga/optionlab,NEW,Derivatives and Hedging,2024-03-22 19:00:08,148.0,28.0,2.0,2023-07-04 19:44:27,2024-03-18 20:39:51,rgaveiga/optionlab,active,,2024-01-31 01:39:30.216313 Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,2021-10-12 17:45:09,9.0,9.0,1.0,2016-02-09 05:30:27,2021-04-15 16:02:59,broughtj/Fin6470,inactive,, -stocktrends,https://github.com/ChillarAnand/stocktrends,NEW,Derivatives and Hedging,2024-03-05 14:08:05,227.0,72.0,1.0,2018-02-06 12:56:48,2021-08-15 06:06:05,ChillarAnand/stocktrends,inactive,,2021-07-07 01:48:02.687855 +stocktrends,https://github.com/ChillarAnand/stocktrends,NEW,Derivatives and Hedging,2024-03-19 22:33:25,228.0,72.0,1.0,2018-02-06 12:56:48,2021-08-15 06:06:05,ChillarAnand/stocktrends,inactive,,2021-07-07 01:48:02.687855 Options_Data_Science,https://github.com/yugedata/Options_Data_Science,NEW,Derivatives and Hedging,2024-03-04 18:21:56,321.0,59.0,1.0,2020-12-09 04:51:20,2022-03-16 19:20:04,yugedata/Options_Data_Science,inactive,,23:51.4 algotrader,https://github.com/torreyleonard/algotrader,NEW,Derivatives and Hedging,2024-03-02 08:58:31,620.0,117.0,12.0,2018-04-10 02:31:26,2020-08-27 08:16:44,torreyleonard/algotrader,inactive,,23:51.4 pancakeswap-prediction-winner,https://github.com/modagavr/pancakeswap-prediction-winner,NEW,Derivatives and Hedging,2024-03-07 06:35:38,244.0,139.0,3.0,2021-06-09 14:30:14,2023-03-15 06:24:49,modagavr/pancake-wizard,active,,2021-11-10 01:46:37.106806 options_backtester,https://github.com/lambdaclass/options_backtester,NEW,Derivatives and Hedging,2024-02-25 11:32:14,146.0,27.0,5.0,2019-05-08 14:48:04,2023-01-01 16:12:46,lambdaclass/options_backtester,active,,2022-08-17 03:19:31.528847 -lumibot,https://github.com/Lumiwealth/lumibot,NEW,Derivatives and Hedging,2024-03-15 15:00:36,639.0,101.0,16.0,2020-09-10 10:00:16,2024-03-14 23:04:34,Lumiwealth/lumibot,active,,2022-05-04 02:53:40.766573 -akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2024-03-16 22:33:39,8107.0,1696.0,60.0,2019-10-01 07:34:12,2024-03-16 02:52:49,akfamily/akshare,active,,23:51.4 +lumibot,https://github.com/Lumiwealth/lumibot,NEW,Derivatives and Hedging,2024-03-23 19:49:11,646.0,104.0,16.0,2020-09-10 10:00:16,2024-03-19 15:00:29,Lumiwealth/lumibot,active,,2022-05-04 02:53:40.766573 +akshare,https://github.com/jindaxiang/akshare,NEW,Derivatives and Hedging,2024-03-23 08:36:58,8157.0,1703.0,61.0,2019-10-01 07:34:12,2024-03-22 16:32:29,akfamily/akshare,active,,23:51.4 huobi_futures_Python,https://github.com/hbdmapi/huobi_futures_Python,NEW,Derivatives and Hedging,2024-01-19 10:26:58,267.0,117.0,2.0,2020-01-14 07:21:39,2021-06-25 01:29:01,hbdmapi/huobi_futures_Python,inactive,,23:51.4 -investbook,https://github.com/spacious-team/investbook,NEW,Derivatives and Hedging,2024-03-04 09:44:13,223.0,68.0,20.0,2020-02-15 18:23:48,2024-02-21 19:05:59,spacious-team/investbook,active,,2022-05-04 02:53:40.766573 +investbook,https://github.com/spacious-team/investbook,NEW,Derivatives and Hedging,2024-03-23 02:42:23,228.0,68.0,20.0,2020-02-15 18:23:48,2024-03-17 20:33:32,spacious-team/investbook,active,,2022-05-04 02:53:40.766573 LoopTrader,https://github.com/pattertj/LoopTrader,NEW,Derivatives and Hedging,2024-03-10 16:16:25,107.0,19.0,3.0,2021-04-04 16:47:20,2022-03-28 15:17:16,pattertj/LoopTrader,active,,2023-09-27 01:41:02.763597 MarketAnalysis,https://github.com/p-eq/MarketAnalysis,NEW,Derivatives and Hedging,2022-07-19 18:30:08,209.0,89.0,1.0,2019-03-28 19:46:34,2020-08-06 05:15:46,p-eq/MarketAnalysis,active,,2022-05-11 02:50:14.580036 Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,2024-01-07 17:56:22,132.0,105.0,1.0,2016-10-21 04:12:50,2022-01-04 07:41:22,yhilpisch/lvvd,inactive,, -RustQuant,https://github.com/avhz/RustQuant,NEW,Derivatives and Hedging,2024-03-16 10:52:29,810.0,85.0,25.0,2022-08-31 10:03:24,2024-03-16 08:55:15,avhz/RustQuant,active,,2023-07-05 02:22:05.839071 +RustQuant,https://github.com/avhz/RustQuant,NEW,Derivatives and Hedging,2024-03-23 08:52:28,818.0,85.0,25.0,2022-08-31 10:03:24,2024-03-16 08:55:15,avhz/RustQuant,active,,2023-07-05 02:22:05.839071 Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2022-02-23 01:32:49,5.0,3.0,1.0,2018-03-02 23:53:53,2018-07-17 23:32:23,RobinsonGarcia/delta-hedging,inactive,, -kwenta,https://github.com/Kwenta/kwenta,NEW,Derivatives and Hedging,2024-02-20 08:32:31,132.0,150.0,60.0,2021-08-24 16:51:40,2023-10-16 19:43:43,Kwenta/kwenta,active,,2023-07-12 02:22:11.928947 -Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2024-03-12 19:26:16,812.0,270.0,58.0,2014-06-16 11:45:55,2024-03-05 10:16:53,OpenGamma/Strata,active,,23:51.4 +kwenta,https://github.com/Kwenta/kwenta,NEW,Derivatives and Hedging,2024-03-21 08:58:30,133.0,150.0,60.0,2021-08-24 16:51:40,2023-10-16 19:43:43,Kwenta/kwenta,active,,2023-07-12 02:22:11.928947 +Strata,https://github.com/OpenGamma/Strata,NEW,Derivatives and Hedging,2024-03-22 13:29:55,813.0,270.0,58.0,2014-06-16 11:45:55,2024-03-19 08:48:11,OpenGamma/Strata,active,,23:51.4 PyLimitOrderBook,https://github.com/abcabhishek/PyLimitOrderBook,NEW,Extended Research,2024-03-15 06:16:38,87.0,39.0,1.0,2018-01-03 05:56:23,2018-01-03 06:19:23,abcabhishek/PyLimitOrderBook,inactive,,2021-11-10 01:47:27.749840 PyStrategies,https://github.com/danielktaylor/PyStrategies,NEW,Extended Research,2024-02-20 17:33:33,70.0,25.0,1.0,2016-08-01 21:34:17,2021-02-11 19:48:48,danielktaylor/PyStrategies,inactive,,2022-07-27 03:11:56.566644 -Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2024-03-16 06:41:11,365.0,51.0,1.0,2021-04-21 13:29:51,2023-04-07 14:39:41,romanmichaelpaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333 +Q-Fin,https://github.com/RomanMichaelPaolucci/Q-Fin,NEW,Extended Research,2024-03-20 00:13:05,367.0,51.0,1.0,2021-04-21 13:29:51,2023-04-07 14:39:41,romanmichaelpaolucci/Q-Fin,active,,2021-06-02 04:27:12.212333 high-frequency,https://github.com/Kucoin-academy/high-frequency,NEW,Extended Research,2024-03-08 10:40:35,73.0,23.0,1.0,2020-04-24 07:58:36,2020-05-28 09:52:16,Kucoin-academy/high-frequency,inactive,,2022-08-31 03:47:22.763041 DistributedATS,https://github.com/mkipnis/DistributedATS,NEW,Extended Research,2024-02-19 03:06:27,54.0,17.0,2.0,2021-02-22 19:46:33,2024-02-17 19:53:54,mkipnis/DistributedATS,active,,2024-01-17 01:50:10.684502 credit-card-fraud-detection,https://github.com/sahidul-shaikh/credit-card-fraud-detection,NEW,Extended Research,2024-02-08 04:36:35,66.0,41.0,1.0,2021-01-10 13:58:35,2021-01-10 17:13:33,sahidul-shaikh/credit-card-fraud-detection,inactive,,2023-08-09 01:56:15.532891 -graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2024-03-16 09:13:32,1219.0,227.0,12.0,2019-11-21 05:39:23,2024-02-05 22:56:37,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641 -ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2024-03-14 00:09:27,1803.0,568.0,98.0,2015-11-13 19:24:11,2023-11-10 17:17:00,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641 -Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2024-03-16 17:03:43,3217.0,801.0,50.0,2017-06-13 20:15:54,2021-12-08 19:01:54,ctubio/Krypto-trading-bot,inactive,,2021-04-21 01:25:51.827641 +graph-fraud-detection-papers,https://github.com/safe-graph/graph-fraud-detection-papers,NEW,Extended Research,2024-03-21 12:57:05,1225.0,228.0,12.0,2019-11-21 05:39:23,2024-02-05 22:56:37,safe-graph/graph-fraud-detection-papers,active,,2021-04-21 01:25:51.827641 +ReactiveTraderCloud,https://github.com/AdaptiveConsulting/ReactiveTraderCloud,NEW,Extended Research,2024-03-22 13:37:55,1803.0,570.0,98.0,2015-11-13 19:24:11,2023-11-10 17:17:00,AdaptiveConsulting/ReactiveTraderCloud,active,,2021-04-21 01:25:51.827641 +Krypto-trading-bot,https://github.com/ctubio/Krypto-trading-bot,NEW,Extended Research,2024-03-23 08:52:06,3224.0,801.0,50.0,2017-06-13 20:15:54,2021-12-08 19:01:54,ctubio/Krypto-trading-bot,inactive,,2021-04-21 01:25:51.827641 RipplePower,https://github.com/cping/RipplePower,NEW,Extended Research,2023-10-02 10:52:29,50.0,18.0,1.0,2014-04-27 07:11:33,2021-01-02 07:37:47,cping/RipplePower,inactive,,2023-10-18 01:43:11.697362 -tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2024-02-26 10:37:49,632.0,91.0,14.0,2017-10-03 00:34:01,2024-01-25 09:15:02,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641 +tectonicdb,https://github.com/0b01/tectonicdb,NEW,Extended Research,2024-03-23 08:39:21,637.0,91.0,14.0,2017-10-03 00:34:01,2024-01-25 09:15:02,0b01/tectonicdb,active,,2021-04-21 01:25:51.827641 fraud-detection,https://github.com/yazanobeidi/fraud-detection,NEW,Extended Research,2024-01-11 03:07:49,95.0,40.0,1.0,2017-08-04 15:03:47,2017-08-05 15:38:45,yazanobeidi/fraud-detection,inactive,,2021-04-21 01:25:51.827641 2018-Kaggle-AdTrackingFraud,https://github.com/ShawnyXiao/2018-Kaggle-AdTrackingFraud,NEW,Extended Research,2023-11-28 01:43:03,74.0,24.0,1.0,2018-05-08 09:29:46,2019-01-12 07:57:33,ShawnyXiao/2018-Kaggle-AdTrackingFraud,inactive,,2021-04-21 01:25:51.827641 go-quantcup,https://github.com/rdingwall/go-quantcup,NEW,Extended Research,2024-03-06 20:58:36,92.0,39.0,1.0,2015-02-04 10:33:12,2015-06-11 12:50:09,rdingwall/go-quantcup,inactive,,2021-04-21 01:25:51.827641 -Werk,https://github.com/AgalmicVentures/Werk,NEW,Extended Research,2024-03-02 20:51:08,58.0,17.0,1.0,2017-01-07 21:32:01,2022-08-21 01:09:33,AgalmicVentures/Werk,active,,2023-10-18 01:43:11.697362 +Werk,https://github.com/AgalmicVentures/Werk,NEW,Extended Research,2024-03-21 09:52:15,59.0,17.0,1.0,2017-01-07 21:32:01,2022-08-21 01:09:33,AgalmicVentures/Werk,active,,2023-10-18 01:43:11.697362 Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2024-02-22 13:35:50,15.0,8.0,1.0,2018-12-20 00:21:38,2019-03-26 11:51:46,pcmichaud/notebooks,inactive,, -MStream,https://github.com/Stream-AD/MStream,NEW,Extended Research,2024-02-29 12:43:10,100.0,18.0,4.0,2019-12-09 09:12:54,2024-01-10 03:25:25,Stream-AD/MStream,active,,2021-07-14 01:45:09.733861 +MStream,https://github.com/Stream-AD/MStream,NEW,Extended Research,2024-03-20 13:35:56,102.0,18.0,4.0,2019-12-09 09:12:54,2024-01-10 03:25:25,Stream-AD/MStream,active,,2021-07-14 01:45:09.733861 FXBot,https://github.com/trentstauff/FXBot,NEW,Extended Research,2024-03-11 13:41:26,154.0,56.0,2.0,2021-05-10 20:47:59,2022-04-21 21:19:10,trentstauff/FXBot,active,,2022-07-27 03:11:56.566644 -Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2024-02-24 22:25:52,383.0,81.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,inactive,, -imperial_hft,https://github.com/0burak/imperial_hft,NEW,Extended Research,2024-03-16 13:20:52,62.0,17.0,0.0,2023-09-04 00:56:37,2023-09-10 18:30:31,0burak/imperial_hft,active,,2024-01-31 01:40:44.648255 +Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,2024-03-18 12:57:35,384.0,81.0,1.0,2018-08-28 14:45:00,2020-08-06 22:03:47,marketneutral/alphatools,inactive,, +imperial_hft,https://github.com/0burak/imperial_hft,NEW,Extended Research,2024-03-19 07:33:52,65.0,18.0,0.0,2023-09-04 00:56:37,2023-09-10 18:30:31,0burak/imperial_hft,active,,2024-01-31 01:40:44.648255 Order_Imbalance_HFT,https://github.com/algosenses/Order_Imbalance_HFT,NEW,Extended Research,2024-03-03 02:41:25,94.0,36.0,0.0,2018-07-05 06:50:07,2018-11-06 01:54:05,algosenses/Order_Imbalance_HFT,inactive,,2022-03-30 02:25:09.963278 TalkingData,https://github.com/CuteChibiko/TalkingData,NEW,Extended Research,2023-04-22 13:58:17,104.0,41.0,1.0,2018-05-09 15:17:45,2018-05-11 01:32:26,CuteChibiko/TalkingData,inactive,,2021-04-21 01:25:51.827641 hFT-Transformer,https://github.com/sony/hFT-Transformer,NEW,Extended Research,2024-03-09 18:32:09,54.0,6.0,1.0,2023-06-26 08:31:19,2023-07-11 01:24:36,sony/hFT-Transformer,active,,2024-01-17 01:50:10.684502 -fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2024-03-16 21:03:09,20718.0,2167.0,80.0,2015-02-11 08:49:54,2024-02-26 04:02:10,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641 +fingerprintjs,https://github.com/fingerprintjs/fingerprintjs,NEW,Extended Research,2024-03-23 17:33:41,20747.0,2171.0,80.0,2015-02-11 08:49:54,2024-03-23 13:33:45,fingerprintjs/fingerprintjs,active,,2021-04-21 01:25:51.827641 tumbleweed_gdax,https://github.com/AlbatrossAutomated/tumbleweed_gdax,NEW,Extended Research,2024-03-11 02:03:27,50.0,23.0,1.0,2018-03-19 19:30:26,2021-12-24 00:32:01,AlbatrossAutomated/tumbleweed_gdax,inactive,,2024-03-13 01:42:15.204542 CamCapital,https://github.com/camandrewz/CamCapital,NEW,Extended Research,2024-03-06 11:31:16,51.0,26.0,1.0,2021-04-26 21:38:45,2021-04-29 23:06:49,camandrewz/CamCapital,inactive,,2024-02-21 01:40:00.598619 -fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2024-01-10 00:36:40,117.0,49.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641 +fecon236,https://github.com/MathSci/fecon236,NEW,Extended Research,2024-03-23 14:35:10,118.0,49.0,2.0,2018-04-05 19:34:51,2019-01-11 08:07:56,MathSci/fecon236,inactive,,2021-04-21 01:25:51.827641 Fraud-Detection-in-Online-Transactions,https://github.com/sharmaroshan/Fraud-Detection-in-Online-Transactions,NEW,Extended Research,2024-03-13 00:54:33,63.0,32.0,1.0,2019-03-31 13:30:44,2019-05-23 07:37:00,sharmaroshan/Fraud-Detection-in-Online-Transactions,inactive,,2023-06-28 02:24:17.308219 HighFrequencyTradingBot,https://github.com/qtds35k/HighFrequencyTradingBot,NEW,Extended Research,2024-02-29 09:42:27,53.0,29.0,1.0,2019-02-01 06:32:01,2019-02-01 08:26:27,qtds35k/HighFrequencyTradingBot,inactive,,2023-12-13 01:48:56.499560 avellaneda-stoikov,https://github.com/ragoragino/avellaneda-stoikov,NEW,Extended Research,2024-03-10 21:06:57,81.0,31.0,1.0,2017-10-21 20:53:00,2017-10-30 18:23:27,ragoragino/avellaneda-stoikov,inactive,,2021-04-21 01:25:51.827641 FlashFunk,https://github.com/HFQR/FlashFunk,NEW,Extended Research,2024-02-05 00:22:14,110.0,36.0,5.0,2020-09-18 13:14:37,2023-03-10 14:17:01,HFQR/FlashFunk,active,,2021-07-28 01:53:22.622209 -ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2024-03-12 12:44:18,205.0,58.0,3.0,2019-03-09 18:20:12,2021-10-22 23:41:53,martinobdl/ITCH,inactive,,2021-04-21 01:25:51.827641 +ITCH,https://github.com/martinobdl/ITCH,NEW,Extended Research,2024-03-22 08:10:09,206.0,57.0,3.0,2019-03-09 18:20:12,2021-10-22 23:41:53,martinobdl/ITCH,inactive,,2021-04-21 01:25:51.827641 SumZeroTrading,https://github.com/rterp/SumZeroTrading,NEW,Extended Research,2024-02-27 17:16:43,144.0,47.0,1.0,2016-01-19 05:43:31,2018-08-30 22:44:52,rterp/SumZeroTrading,inactive,,2021-04-21 01:25:51.827641 -awesome-systematic-trading,https://github.com/wangzhe3224/awesome-systematic-trading,NEW,Extended Research,2024-03-16 13:27:58,1539.0,216.0,6.0,2021-12-11 17:57:13,2024-01-26 11:40:34,wangzhe3224/awesome-systematic-trading,active,,2022-01-12 01:57:29.001766 -flow,https://github.com/yazanobeidi/flow,NEW,Extended Research,2024-02-25 14:12:28,66.0,25.0,1.0,2016-05-11 20:38:31,2016-05-14 16:02:05,yazanobeidi/flow,inactive,,2022-03-02 02:04:51.616795 +awesome-systematic-trading,https://github.com/wangzhe3224/awesome-systematic-trading,NEW,Extended Research,2024-03-23 17:32:13,1557.0,217.0,6.0,2021-12-11 17:57:13,2024-01-26 11:40:34,wangzhe3224/awesome-systematic-trading,active,,2022-01-12 01:57:29.001766 +flow,https://github.com/yazanobeidi/flow,NEW,Extended Research,2024-03-23 15:01:12,67.0,25.0,1.0,2016-05-11 20:38:31,2016-05-14 16:02:05,yazanobeidi/flow,inactive,,2022-03-02 02:04:51.616795 LSTM-FX,https://github.com/AdamTibi/LSTM-FX,NEW,Extended Research,2024-03-14 22:08:46,90.0,40.0,1.0,2020-09-29 21:30:20,2020-09-29 23:15:18,AdamTibi/LSTM-FX,inactive,,2022-08-17 03:20:52.042782 -OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2024-03-06 04:20:12,609.0,181.0,38.0,2013-12-26 10:22:00,2024-03-15 14:54:45,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641 -hft-limit-order-book,https://github.com/fasenderos/hft-limit-order-book,NEW,Extended Research,2024-03-15 06:16:32,102.0,24.0,6.0,2022-07-26 08:02:48,2024-03-08 18:11:26,fasenderos/hft-limit-order-book,active,,2023-08-16 01:38:04.685060 +OpenHFT,https://github.com/OpenHFT/OpenHFT,NEW,Extended Research,2024-03-22 15:33:47,610.0,181.0,38.0,2013-12-26 10:22:00,2024-03-22 21:37:47,OpenHFT/OpenHFT,active,,2021-04-21 01:25:51.827641 +hft-limit-order-book,https://github.com/fasenderos/hft-limit-order-book,NEW,Extended Research,2024-03-23 12:00:11,102.0,24.0,6.0,2022-07-26 08:02:48,2024-03-21 18:27:10,fasenderos/hft-limit-order-book,active,,2023-08-16 01:38:04.685060 crypto-database,https://github.com/ivopetiz/crypto-database,NEW,Extended Research,2024-03-14 14:13:07,96.0,33.0,2.0,2018-02-22 21:34:11,2019-10-04 13:06:18,ivopetiz/crypto-database,inactive,,2021-04-21 01:25:51.827641 -FaceLivenessDetection-Android,https://github.com/kby-ai/FaceLivenessDetection-Android,NEW,Extended Research,2024-03-14 19:08:13,68.0,59.0,1.0,2023-03-08 13:40:38,2024-03-15 16:14:02,kby-ai/FaceLivenessDetection-Android,active,,2024-03-13 01:42:15.204542 +FaceLivenessDetection-Android,https://github.com/kby-ai/FaceLivenessDetection-Android,NEW,Extended Research,2024-03-14 19:08:13,68.0,59.0,1.0,2023-03-08 13:40:38,2024-03-19 12:46:49,kby-ai/FaceLivenessDetection-Android,active,,2024-03-13 01:42:15.204542 Chronicle-Accelerate,https://github.com/peter-lawrey-admin/Chronicle-Accelerate,NEW,Extended Research,2023-11-21 09:45:58,60.0,14.0,6.0,2018-01-24 08:52:53,2018-08-11 12:11:43,peter-lawrey-admin/Chronicle-Accelerate,inactive,,2023-11-22 01:51:50.415499 hftrx,https://github.com/ua1arn/hftrx,NEW,Extended Research,2024-02-09 14:40:43,69.0,30.0,5.0,2018-12-23 17:25:32,2024-03-16 05:43:48,ua1arn/hftrx,active,,2023-08-09 01:56:15.532891 -MarketDataRec,https://github.com/hftlab/MarketDataRec,NEW,Extended Research,2024-03-12 11:25:20,70.0,12.0,1.0,2023-04-16 07:49:56,2023-04-18 04:49:56,hftlab/MarketDataRec,active,,2023-05-24 02:04:50.962593 -High-Frequency-Trading-Simulation-System,https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System,NEW,Extended Research,2024-03-11 21:39:05,73.0,33.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641 +MarketDataRec,https://github.com/hftlab/MarketDataRec,NEW,Extended Research,2024-03-22 08:13:35,71.0,12.0,1.0,2023-04-16 07:49:56,2023-04-18 04:49:56,hftlab/MarketDataRec,active,,2023-05-24 02:04:50.962593 +High-Frequency-Trading-Simulation-System,https://github.com/chenhaotian/High-Frequency-Trading-Simulation-System,NEW,Extended Research,2024-03-11 21:39:05,73.0,34.0,1.0,2016-06-14 13:50:39,2018-04-16 08:48:10,chenhaotian/High-Frequency-Trading-Simulation-System,inactive,,2021-04-21 01:25:51.827641 Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,2024-01-04 16:25:06,20.0,8.0,3.0,2018-08-02 02:48:24,2019-03-16 18:39:38,evijit/Finance_Graph_Theory,inactive,, -HFT-price-prediction,https://github.com/hzjken/HFT-price-prediction,NEW,Extended Research,2024-01-31 12:46:33,122.0,62.0,1.0,2019-09-26 12:13:55,2019-09-28 05:45:48,hzjken/HFT-price-prediction,inactive,,2022-03-02 02:04:51.616795 +HFT-price-prediction,https://github.com/hzjken/HFT-price-prediction,NEW,Extended Research,2024-03-20 06:13:01,124.0,63.0,1.0,2019-09-26 12:13:55,2019-09-28 05:45:48,hzjken/HFT-price-prediction,inactive,,2022-03-02 02:04:51.616795 Fraud_Detection,https://github.com/KSpiliop/Fraud_Detection,NEW,Extended Research,2024-02-24 15:01:15,51.0,14.0,1.0,2017-04-23 19:26:01,2017-04-26 18:15:30,KSpiliop/Fraud_Detection,inactive,,2024-01-03 01:45:13.543445 realtime-fraud-detection-with-gnn-on-dgl,https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl,NEW,Extended Research,2024-03-12 12:47:00,199.0,37.0,10.0,2021-03-11 05:05:35,2023-10-29 11:10:36,awslabs/realtime-fraud-detection-with-gnn-on-dgl,active,,2021-11-10 01:47:27.749840 -ML-HFT,https://github.com/bradleyboyuyang/ML-HFT,NEW,Extended Research,2024-03-16 02:26:56,205.0,69.0,1.0,2022-03-14 15:05:21,2022-09-20 08:41:02,bradleyboyuyang/ML-HFT,active,,2022-12-14 02:16:53.052290 -OrderImbalance,https://github.com/shaileshkakkar/OrderImbalance,NEW,Extended Research,2024-02-17 20:30:15,107.0,65.0,1.0,2018-06-04 16:35:40,2018-06-04 16:49:26,shaileshkakkar/OrderImbalance,inactive,,2021-11-10 01:47:27.749840 +ML-HFT,https://github.com/bradleyboyuyang/ML-HFT,NEW,Extended Research,2024-03-21 01:27:36,212.0,70.0,1.0,2022-03-14 15:05:21,2022-09-20 08:41:02,bradleyboyuyang/ML-HFT,active,,2022-12-14 02:16:53.052290 +OrderImbalance,https://github.com/shaileshkakkar/OrderImbalance,NEW,Extended Research,2024-03-19 15:47:02,108.0,65.0,1.0,2018-06-04 16:35:40,2018-06-04 16:49:26,shaileshkakkar/OrderImbalance,inactive,,2021-11-10 01:47:27.749840 FraudDetection-Microservices,https://github.com/melofred/FraudDetection-Microservices,NEW,Extended Research,2024-02-14 07:29:00,93.0,52.0,1.0,2016-06-08 23:24:21,2017-01-18 17:52:01,melofred/FraudDetection-Microservices,inactive,,2021-04-21 01:25:51.827641 -fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2024-03-07 09:50:58,221.0,41.0,1.0,2017-09-29 02:47:54,2021-08-04 08:24:45,IPL/fraud-detection-papers,inactive,,2021-04-21 01:25:51.827641 +fraud-detection-papers,https://github.com/IPL/fraud-detection-papers,NEW,Extended Research,2024-03-18 08:11:15,222.0,41.0,1.0,2017-09-29 02:47:54,2021-08-04 08:24:45,IPL/fraud-detection-papers,inactive,,2021-04-21 01:25:51.827641 Fraud-detection-using-deep-learning,https://github.com/aaxwaz/Fraud-detection-using-deep-learning,NEW,Extended Research,2024-01-10 05:36:55,113.0,60.0,1.0,2017-06-18 12:35:24,2017-12-06 13:51:54,aaxwaz/Fraud-detection-using-deep-learning,inactive,,2021-04-21 01:25:51.827641 HFCrypto,https://github.com/PsiPhiTheta/HFCrypto,NEW,Extended Research,2023-11-29 03:04:13,53.0,24.0,3.0,2017-01-28 12:35:17,2017-11-01 22:15:32,PsiPhiTheta/HFCrypto,inactive,,2022-03-02 02:04:51.616795 talkingdata-adtracking-fraud-detection,https://github.com/flowlight0/talkingdata-adtracking-fraud-detection,NEW,Extended Research,2024-02-22 13:57:25,224.0,58.0,1.0,2018-03-21 11:27:31,2018-06-10 15:30:50,flowlight0/talkingdata-adtracking-fraud-detection,inactive,,2021-04-21 01:25:51.827641 beymani,https://github.com/pranab/beymani,NEW,Extended Research,2023-07-23 10:23:11,129.0,68.0,0.0,2012-01-04 07:22:01,2022-04-26 18:46:04,pranab/beymani,active,,2021-04-21 01:25:51.827641 bot18,https://github.com/carlos8f/bot18,NEW,Extended Research,2024-01-23 23:22:38,193.0,34.0,2.0,2018-05-23 14:22:25,2018-10-17 08:06:21,carlos8f/bot18,inactive,,2021-04-21 01:25:51.827641 -algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2024-03-15 02:40:03,978.0,172.0,3.0,2018-07-10 22:10:41,2023-10-03 07:36:34,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641 +algotrading,https://github.com/ivopetiz/algotrading,NEW,Extended Research,2024-03-18 21:24:46,981.0,172.0,3.0,2018-07-10 22:10:41,2023-10-03 07:36:34,ivopetiz/algotrading,active,,2021-04-21 01:25:51.827641 Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,2024-02-21 13:50:21,43.0,24.0,2.0,2018-05-08 19:34:17,2018-05-09 15:39:25,DLColumbia/DL_forFinance,inactive,, -Credit-Card-Fraud-Detection,https://github.com/sagnikghoshcr7/Credit-Card-Fraud-Detection,NEW,Extended Research,2024-03-04 16:39:11,53.0,35.0,2.0,2020-08-15 21:06:58,2020-10-02 09:12:54,sagnikghoshcr7/Credit-Card-Fraud-Detection,inactive,,2024-01-31 01:40:44.648255 +Credit-Card-Fraud-Detection,https://github.com/sagnikghoshcr7/Credit-Card-Fraud-Detection,NEW,Extended Research,2024-03-19 15:46:54,54.0,36.0,2.0,2020-08-15 21:06:58,2020-10-02 09:12:54,sagnikghoshcr7/Credit-Card-Fraud-Detection,inactive,,2024-01-31 01:40:44.648255 Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,2023-11-26 19:42:04,24.0,17.0,1.0,2017-08-27 03:46:33,2017-08-26 04:26:04,lnsongxf/Applied_Computational_Economics_and_Finance,inactive,, Coiner,https://github.com/jihoonerd/Coiner,NEW,Extended Research,2022-11-27 10:01:48,51.0,22.0,1.0,2017-09-26 04:14:36,2018-01-01 13:13:21,jihoonerd/Coiner,inactive,,2021-04-21 01:25:51.827641 -barter-rs,https://github.com/barter-rs/barter-rs,NEW,Extended Research,2024-03-15 02:55:18,584.0,93.0,4.0,2022-10-09 16:39:34,2023-04-20 17:55:15,barter-rs/barter-rs,active,,2022-11-23 02:26:52.095797 +barter-rs,https://github.com/barter-rs/barter-rs,NEW,Extended Research,2024-03-23 08:33:03,589.0,97.0,4.0,2022-10-09 16:39:34,2023-04-20 17:55:15,barter-rs/barter-rs,active,,2022-11-23 02:26:52.095797 FX-Trading-with-Python-and-Oanda,https://github.com/anthonyng2/FX-Trading-with-Python-and-Oanda,NEW,Extended Research,2023-01-16 12:39:55,57.0,50.0,1.0,2017-02-23 07:48:12,2017-08-14 03:21:30,anthonyng2/FX-Trading-with-Python-and-Oanda,inactive,,2021-04-21 01:25:51.827641 -DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2024-03-15 18:02:23,644.0,157.0,4.0,2019-11-22 14:02:36,2022-04-20 21:39:08,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641 +DGFraud,https://github.com/safe-graph/DGFraud,NEW,Extended Research,2024-03-23 13:42:26,648.0,157.0,4.0,2019-11-22 14:02:36,2022-04-20 21:39:08,safe-graph/DGFraud,active,,2021-04-21 01:25:51.827641 Ml_HFT,https://github.com/fushuyue/Ml_HFT,NEW,Extended Research,2024-01-22 15:13:16,60.0,24.0,1.0,2016-02-11 17:04:34,2016-05-09 03:34:43,fushuyue/Ml_HFT,inactive,,2022-11-02 03:15:32.494587 -VisualHFT,https://github.com/silahian/VisualHFT,NEW,Extended Research,2024-03-15 06:15:58,624.0,121.0,4.0,2022-09-20 02:52:30,2024-01-25 16:04:03,silahian/VisualHFT,active,,2022-10-19 03:33:27.868296 +VisualHFT,https://github.com/silahian/VisualHFT,NEW,Extended Research,2024-03-22 18:46:03,630.0,125.0,4.0,2022-09-20 02:52:30,2024-01-25 16:04:03,silahian/VisualHFT,active,,2022-10-19 03:33:27.868296 HFT-Pairs-Trading,https://github.com/sapphire921/HFT-Pairs-Trading,NEW,Extended Research,2024-02-01 12:31:11,87.0,28.0,2.0,2018-05-03 22:36:16,2019-02-27 17:41:22,sapphire921/HFT-Pairs-Trading,inactive,,2022-01-05 01:58:48.216479 HFTrader,https://github.com/DrAshBooth/HFTrader,NEW,Extended Research,2023-11-29 02:31:09,84.0,51.0,0.0,2012-12-03 13:57:19,2012-12-12 17:17:09,DrAshBooth/HFTrader,inactive,,2021-04-21 01:25:51.827641 -HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2024-03-16 02:31:26,1760.0,626.0,1.0,2016-07-21 05:14:14,2022-08-27 20:48:33,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,active,, +HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,2024-03-21 21:59:20,1765.0,627.0,1.0,2016-07-21 05:14:14,2022-08-27 20:48:33,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,active,, Chronicle-Accelerate,https://github.com/OpenHFT/Chronicle-Accelerate,NEW,Extended Research,2023-11-21 09:45:58,60.0,14.0,6.0,2018-01-24 08:52:53,2018-08-11 12:11:43,peter-lawrey-admin/Chronicle-Accelerate,inactive,,2021-04-21 01:25:51.827641 Trading-Bot,https://github.com/RaidasGrisk/Trading-Bot,NEW,Extended Research,2024-03-02 17:59:07,122.0,42.0,1.0,2017-11-27 21:20:40,2018-01-22 21:00:57,RaidasGrisk/Trading-Bot,inactive,,2021-04-21 01:25:51.827641 -AXOrderBook,https://github.com/fpga2u/AXOrderBook,NEW,Extended Research,2024-03-15 07:07:56,76.0,36.0,1.0,2022-06-08 02:55:31,2023-06-07 02:03:38,fpga2u/AXOrderBook,active,,2023-10-18 01:43:11.697362 -demo-fraud-detection-with-p2p,https://github.com/neo4j-product-examples/demo-fraud-detection-with-p2p,NEW,Extended Research,2024-01-21 04:56:13,60.0,27.0,1.0,2022-02-26 21:15:04,2023-06-12 16:55:38,neo4j-product-examples/demo-fraud-detection-with-p2p,active,,2023-09-20 01:41:32.583152 -kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2024-03-16 10:53:17,3086.0,1066.0,26.0,2017-11-15 06:54:01,2023-11-03 11:13:49,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641 -FullFIX,https://github.com/maxim2266/FullFIX,NEW,Extended Research,2023-10-16 19:13:43,65.0,21.0,1.0,2015-08-26 09:44:55,2022-06-09 14:09:21,maxim2266/FullFIX,active,,2021-07-21 01:52:20.459625 +AXOrderBook,https://github.com/fpga2u/AXOrderBook,NEW,Extended Research,2024-03-20 09:17:27,77.0,37.0,1.0,2022-06-08 02:55:31,2023-06-07 02:03:38,fpga2u/AXOrderBook,active,,2023-10-18 01:43:11.697362 +demo-fraud-detection-with-p2p,https://github.com/neo4j-product-examples/demo-fraud-detection-with-p2p,NEW,Extended Research,2024-03-19 12:43:42,61.0,27.0,1.0,2022-02-26 21:15:04,2023-06-12 16:55:38,neo4j-product-examples/demo-fraud-detection-with-p2p,active,,2023-09-20 01:41:32.583152 +kungfu,https://github.com/kungfu-origin/kungfu,NEW,Extended Research,2024-03-23 11:08:27,3093.0,1065.0,26.0,2017-11-15 06:54:01,2024-03-19 14:09:07,kungfu-origin/kungfu,active,,2021-04-21 01:25:51.827641 +FullFIX,https://github.com/maxim2266/FullFIX,NEW,Extended Research,2024-03-19 22:27:49,66.0,21.0,1.0,2015-08-26 09:44:55,2022-06-09 14:09:21,maxim2266/FullFIX,active,,2021-07-21 01:52:20.459625 NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2023-12-08 06:39:43,16.0,14.0,1.0,2018-10-11 20:32:37,2018-12-24 23:27:55,chen-bowen/Research_Documents_Curation_with_NLP,inactive,, -ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2024-03-02 12:34:30,200.0,112.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641 +ml-fraud-detection,https://github.com/georgymh/ml-fraud-detection,NEW,Extended Research,2024-03-02 12:34:30,200.0,113.0,2.0,2017-04-27 01:48:35,2018-01-31 21:17:26,georgymh/ml-fraud-detection,inactive,,2021-04-21 01:25:51.827641 TradingStrategies,https://github.com/SoftAlgoTrade/TradingStrategies,NEW,Extended Research,2024-03-16 23:29:03,156.0,60.0,1.0,2017-05-22 20:46:35,2017-10-29 11:09:37,SoftAlgoTrade/TradingStrategies,inactive,,2021-04-21 01:25:51.827641 Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,, -Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2024-03-17 00:04:36,924.0,557.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,inactive,, -High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2024-03-16 17:22:33,2393.0,651.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,inactive,,2021-04-21 01:25:51.827641 +Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,2024-03-22 00:11:52,925.0,557.0,9.0,2017-01-21 11:24:18,2020-08-01 17:03:32,Auquan/Tutorials,inactive,, +High-Frequency-Trading-Model-with-IB,https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB,NEW,Extended Research,2024-03-20 10:23:47,2394.0,651.0,2.0,2014-05-18 19:20:13,2019-06-21 14:58:07,jamesmawm/High-Frequency-Trading-Model-with-IB,inactive,,2021-04-21 01:25:51.827641 VPIN_HFT,https://github.com/theopenstreet/VPIN_HFT,NEW,Extended Research,2024-03-06 15:12:13,82.0,35.0,1.0,2017-12-12 15:29:33,2017-12-12 17:32:54,theopenstreet/VPIN_HFT,inactive,,2022-07-27 03:11:56.566644 -awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2024-03-16 04:46:13,1521.0,293.0,6.0,2019-05-27 10:23:22,2024-03-16 21:13:56,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641 -HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2024-03-16 22:52:06,914.0,247.0,5.0,2017-07-26 08:42:19,2022-02-18 20:01:44,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641 +awesome-fraud-detection-papers,https://github.com/benedekrozemberczki/awesome-fraud-detection-papers,NEW,Extended Research,2024-03-23 13:59:15,1524.0,294.0,6.0,2019-05-27 10:23:22,2024-03-16 21:13:56,benedekrozemberczki/awesome-fraud-detection-papers,active,,2021-04-21 01:25:51.827641 +HFT-Orderbook,https://github.com/Crypto-toolbox/HFT-Orderbook,NEW,Extended Research,2024-03-20 01:59:05,916.0,247.0,5.0,2017-07-26 08:42:19,2022-02-18 20:01:44,Crypto-toolbox/HFT-Orderbook,inactive,,2021-04-21 01:25:51.827641 hft,https://github.com/sbenzev/hft,NEW,Extended Research,2023-08-17 16:41:27,55.0,81.0,1.0,2012-11-29 03:55:33,2012-11-10 23:40:29,sbenzev/hft,inactive,,2022-03-30 02:25:09.963278 -barter-data-rs,https://github.com/barter-rs/barter-data-rs,NEW,Extended Research,2024-03-14 22:12:19,77.0,59.0,7.0,2022-10-09 17:00:33,2023-04-16 16:16:55,barter-rs/barter-data-rs,active,,2023-06-21 02:05:50.408289 +barter-data-rs,https://github.com/barter-rs/barter-data-rs,NEW,Extended Research,2024-03-23 10:03:37,78.0,60.0,7.0,2022-10-09 17:00:33,2023-04-16 16:16:55,barter-rs/barter-data-rs,active,,2023-06-21 02:05:50.408289 Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,2024-02-12 18:12:11,17.0,6.0,1.0,2019-01-22 10:59:50,2019-03-12 18:35:02,ryanholbrook/critical-transitions,inactive,, -Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2024-03-14 10:43:33,1068.0,329.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,, +Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,2024-03-23 14:34:28,1071.0,329.0,2.0,2014-11-09 04:49:01,2018-12-03 16:30:28,rsvp/fecon235,inactive,, PE-HFT-Python,https://github.com/PortfolioEffect/PE-HFT-Python,NEW,Extended Research,2024-01-28 14:45:42,64.0,43.0,2.0,2015-11-11 00:58:39,2017-08-08 02:06:15,PortfolioEffect/PE-HFT-Python,inactive,,2021-07-07 01:48:46.755450 -Fraud-Detection-Papers,https://github.com/zixi-liu/Fraud-Detection-Papers,NEW,Extended Research,2024-03-10 09:22:33,67.0,16.0,1.0,2022-04-05 23:00:31,2024-02-09 16:43:28,zixi-liu/Fraud-Detection-Papers,active,,2023-12-13 01:48:56.499560 +Fraud-Detection-Papers,https://github.com/zixi-liu/Fraud-Detection-Papers,NEW,Extended Research,2024-03-20 07:02:51,68.0,16.0,1.0,2022-04-05 23:00:31,2024-02-09 16:43:28,zixi-liu/Fraud-Detection-Papers,active,,2023-12-13 01:48:56.499560 sagemaker-graph-fraud-detection,https://github.com/awslabs/sagemaker-graph-fraud-detection,NEW,Extended Research,2024-02-14 03:02:40,88.0,31.0,3.0,2020-03-13 16:51:29,2021-05-18 19:20:28,awslabs/sagemaker-graph-fraud-detection,inactive,,2021-12-15 01:51:23.915128 HighFrequencyTradingSVMs,https://github.com/alexdai186/HighFrequencyTradingSVMs,NEW,Extended Research,2023-07-20 11:54:25,92.0,44.0,1.0,2019-01-10 22:29:11,2019-02-24 05:30:19,gaburipeach/HighFrequencyTradingSVMs,inactive,,2022-03-30 02:25:09.963278 freqtrade_bot,https://github.com/michael-fourie/freqtrade_bot,NEW,Extended Research,2024-03-04 04:50:10,94.0,37.0,1.0,2020-12-21 00:14:25,2021-01-07 19:52:54,michael-fourie/freqtrade_bot,inactive,,2021-04-21 01:25:51.827641 HoloScope,https://github.com/shenghua-liu/HoloScope,NEW,Extended Research,2023-11-16 03:23:09,51.0,16.0,1.0,2017-02-17 21:09:11,2021-06-01 08:20:53,shenghua-liu/HoloScope,inactive,,2023-03-08 02:20:58.859774 M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,2023-08-18 10:50:06,4.0,6.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,, -MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2024-03-14 06:34:14,745.0,93.0,3.0,2019-10-23 03:50:50,2024-01-10 05:43:58,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641 -wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2024-03-12 15:15:13,673.0,201.0,7.0,2020-06-18 01:43:25,2023-12-31 14:51:00,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641 -example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2024-03-13 17:10:21,705.0,234.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,inactive,,2021-04-21 01:25:51.827641 +MIDAS,https://github.com/Stream-AD/MIDAS,NEW,Extended Research,2024-03-21 00:42:52,746.0,93.0,3.0,2019-10-23 03:50:50,2024-01-10 05:43:58,Stream-AD/MIDAS,active,,2021-04-21 01:25:51.827641 +wtpy,https://github.com/wondertrader/wtpy,NEW,Extended Research,2024-03-23 13:17:58,683.0,202.0,7.0,2020-06-18 01:43:25,2023-12-31 14:51:00,wondertrader/wtpy,active,,2021-04-21 01:25:51.827641 +example-hftish,https://github.com/alpacahq/example-hftish,NEW,Extended Research,2024-03-21 05:34:17,709.0,234.0,3.0,2019-01-25 14:56:38,2019-10-25 02:16:27,alpacahq/example-hftish,inactive,,2021-04-21 01:25:51.827641 python-for-finance,https://github.com/JackJacquier/python-for-finance,NEW,Extended Research,2024-03-05 19:43:56,66.0,37.0,3.0,2020-09-21 12:20:30,2023-11-29 15:00:46,JackJacquier/python-for-finance,active,,2023-09-27 01:41:49.881349 Fraud_Detector,https://github.com/kskk02/Fraud_Detector,NEW,Extended Research,2024-02-23 15:14:07,67.0,37.0,1.0,2014-07-03 20:52:51,2015-01-15 22:03:04,kskk02/Fraud_Detector,inactive,,2021-04-21 01:25:51.827641 -Awesome-AI-for-cybersecurity,https://github.com/Billy1900/Awesome-AI-for-cybersecurity,NEW,Extended Research,2024-03-13 00:36:25,60.0,12.0,1.0,2021-09-20 04:44:45,2023-10-03 14:25:10,Billy1900/Awesome-AI-for-cybersecurity,active,,2024-01-10 01:50:39.650742 -DGFraud-TF2,https://github.com/safe-graph/DGFraud-TF2,NEW,Extended Research,2024-03-08 17:29:59,114.0,30.0,4.0,2021-05-13 18:47:01,2022-04-20 21:36:35,safe-graph/DGFraud-TF2,active,,2022-03-09 02:05:48.143518 +Awesome-AI-for-cybersecurity,https://github.com/Billy1900/Awesome-AI-for-cybersecurity,NEW,Extended Research,2024-03-20 22:29:31,61.0,12.0,1.0,2021-09-20 04:44:45,2023-10-03 14:25:10,Billy1900/Awesome-AI-for-cybersecurity,active,,2024-01-10 01:50:39.650742 +DGFraud-TF2,https://github.com/safe-graph/DGFraud-TF2,NEW,Extended Research,2024-03-08 17:29:59,114.0,28.0,4.0,2021-05-13 18:47:01,2022-04-20 21:36:35,safe-graph/DGFraud-TF2,active,,2022-03-09 02:05:48.143518 Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,2023-11-11 00:12:46,3.0,4.0,1.0,2017-05-25 02:27:36,2017-06-30 03:53:59,FinanceAndPython/FinanceAndPython.com-EconomicFoundations,inactive,, Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2023-01-30 03:11:28,17.0,11.0,1.0,2018-01-29 05:14:52,2018-07-19 06:25:36,chen-bowen/Data_Science_in_Applied_Corporate_Finance,inactive,, algo-trader-tool-suite,https://github.com/K0414/algo-trader-tool-suite,NEW,Extended Research,2024-01-12 17:57:06,78.0,58.0,1.0,2013-10-24 14:57:12,2013-10-24 15:01:56,K0414/algo-trader-tool-suite,inactive,,2021-04-21 01:25:51.827641 -shift-python,https://github.com/hanlonlab/shift-python,NEW,Extended Research,2024-03-08 21:37:24,51.0,28.0,6.0,2018-09-21 22:23:12,2023-08-14 21:22:57,hanlonlab/shift-python,active,,2023-08-16 01:38:04.685060 -antifraud,https://github.com/finint/antifraud,NEW,Extended Research,2024-03-14 02:58:31,113.0,26.0,5.0,2023-03-22 12:54:08,2024-02-19 16:23:32,AI4Risk/antifraud,active,,2023-09-13 01:40:51.195072 -hftbacktest,https://github.com/nkaz001/hftbacktest,NEW,Extended Research,2024-03-16 15:58:31,866.0,230.0,4.0,2022-08-25 14:56:36,2024-03-15 02:55:14,nkaz001/hftbacktest,active,,2023-01-04 02:09:18.093104 -hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2024-03-15 14:35:53,456.0,109.0,4.0,2019-06-05 22:53:04,2022-03-29 03:03:27,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641 +shift-python,https://github.com/hanlonlab/shift-python,NEW,Extended Research,2024-03-21 23:11:07,52.0,28.0,6.0,2018-09-21 22:23:12,2023-08-14 21:22:57,hanlonlab/shift-python,active,,2023-08-16 01:38:04.685060 +antifraud,https://github.com/finint/antifraud,NEW,Extended Research,2024-03-20 13:11:27,114.0,27.0,5.0,2023-03-22 12:54:08,2024-03-17 03:20:14,AI4Risk/antifraud,active,,2023-09-13 01:40:51.195072 +hftbacktest,https://github.com/nkaz001/hftbacktest,NEW,Extended Research,2024-03-23 16:59:10,886.0,230.0,4.0,2022-08-25 14:56:36,2024-03-22 15:06:10,nkaz001/hftbacktest,active,,2023-01-04 02:09:18.093104 +hummingbot_chinese,https://github.com/CoinAlpha/hummingbot_chinese,NEW,Extended Research,2024-03-20 10:41:15,460.0,109.0,4.0,2019-06-05 22:53:04,2022-03-29 03:03:27,CoinAlpha/hummingbot_chinese,active,,2021-04-21 01:25:51.827641 PythonMatchingEngine,https://github.com/Surbeivol/PythonMatchingEngine,NEW,Extended Research,2024-03-16 02:23:42,88.0,26.0,2.0,2019-05-16 12:06:21,2021-12-30 10:17:35,Surbeivol/PythonMatchingEngine,inactive,,2022-08-03 03:11:33.837114 -transaction-fraud-detection,https://github.com/juniorcl/transaction-fraud-detection,NEW,Extended Research,2024-03-08 04:04:57,114.0,61.0,1.0,2021-01-11 19:43:23,2021-02-27 14:21:27,juniorcl/transaction-fraud-detection,inactive,,2023-01-04 02:09:18.093104 -mbt_gym,https://github.com/JJJerome/mbt_gym,NEW,Extended Research,2024-03-15 02:49:12,126.0,31.0,4.0,2022-05-09 11:19:28,2024-01-08 16:07:53,JJJerome/mbt_gym,active,,2022-11-23 02:26:52.095797 -exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2024-03-14 08:35:08,1944.0,758.0,10.0,2018-08-05 18:25:16,2022-05-14 19:22:32,exchange-core/exchange-core,active,,2021-04-21 01:25:51.827641 +transaction-fraud-detection,https://github.com/juniorcl/transaction-fraud-detection,NEW,Extended Research,2024-03-21 22:31:41,115.0,62.0,1.0,2021-01-11 19:43:23,2021-02-27 14:21:27,juniorcl/transaction-fraud-detection,inactive,,2023-01-04 02:09:18.093104 +mbt_gym,https://github.com/JJJerome/mbt_gym,NEW,Extended Research,2024-03-15 02:49:12,126.0,32.0,4.0,2022-05-09 11:19:28,2024-01-08 16:07:53,JJJerome/mbt_gym,active,,2022-11-23 02:26:52.095797 +exchange-core,https://github.com/mzheravin/exchange-core,NEW,Extended Research,2024-03-23 09:57:37,1953.0,761.0,10.0,2018-08-05 18:25:16,2022-05-14 19:22:32,exchange-core/exchange-core,active,,2021-04-21 01:25:51.827641 HFTFramework,https://github.com/javifalces/HFTFramework,NEW,Extended Research,2024-02-21 11:42:37,112.0,30.0,1.0,2021-11-09 07:48:07,2024-02-14 08:00:39,javifalces/HFTFramework,active,,2023-03-08 02:20:58.859774 tradingrrl,https://github.com/darden1/tradingrrl,NEW,Extended Research,2023-10-29 18:15:53,65.0,34.0,1.0,2017-03-05 07:20:56,2018-11-14 13:19:52,darden1/tradingrrl,inactive,,2021-04-21 01:25:51.827641 Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,2023-11-11 00:12:08,11.0,7.0,1.0,2017-09-09 03:35:24,2017-09-09 23:04:48,FinanceAndPython/FinanceAndPython.com-CorporateFinance,inactive,, HFT_Bitcoin,https://github.com/ghgr/HFT_Bitcoin,NEW,Extended Research,2024-02-27 08:42:22,131.0,42.0,1.0,2017-07-27 07:11:48,2017-08-21 14:50:35,ghgr/HFT_Bitcoin,inactive,,2021-04-21 01:25:51.827641 -DynamicSocialNetworkFraudDetection,https://github.com/Zhu-Shatong/DynamicSocialNetworkFraudDetection,NEW,Extended Research,2024-03-19 06:14:17,58.0,0.0,1.0,2024-03-16 08:31:34,2024-03-17 06:10:28,Zhu-Shatong/DynamicSocialNetworkFraudDetection,active,,2024-03-20 01:39:09.995997 -Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,2021-10-12 18:07:34,4.0,3.0,1.0,2019-03-12 21:11:29,2019-03-12 22:09:10,shanemulqueen/python-finance-pca,inactive,, +DynamicSocialNetworkFraudDetection,https://github.com/Zhu-Shatong/DynamicSocialNetworkFraudDetection,NEW,Extended Research,2024-03-21 15:20:51,61.0,0.0,1.0,2024-03-16 08:31:34,2024-03-17 06:10:28,Zhu-Shatong/DynamicSocialNetworkFraudDetection,active,,2024-03-20 01:39:09.995997 +Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,2024-03-19 21:06:40,5.0,3.0,1.0,2019-03-12 21:11:29,2019-03-12 22:09:10,shanemulqueen/python-finance-pca,inactive,, wattnet-fx-trading,https://github.com/Zymrael/wattnet-fx-trading,NEW,Extended Research,2024-01-25 17:23:27,70.0,14.0,1.0,2019-09-13 08:44:27,2020-08-19 05:49:12,Zymrael/wattnet-fx-trading,inactive,,2021-04-21 01:25:51.827641 -fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2024-03-07 04:49:19,250.0,142.0,5.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,inactive,,2021-04-21 01:25:51.827641 -hummingbot,https://github.com/hummingbot/hummingbot,NEW,Extended Research,2024-03-16 21:02:19,7064.0,2503.0,187.0,2019-04-02 21:41:52,2024-02-26 17:33:47,hummingbot/hummingbot,active,,2023-07-12 02:23:06.461951 +fraud-detection-using-machine-learning,https://github.com/awslabs/fraud-detection-using-machine-learning,NEW,Extended Research,2024-03-21 17:19:32,252.0,143.0,5.0,2019-05-17 17:12:46,2021-06-09 19:03:19,awslabs/fraud-detection-using-machine-learning,inactive,,2021-04-21 01:25:51.827641 +hummingbot,https://github.com/hummingbot/hummingbot,NEW,Extended Research,2024-03-24 00:06:20,7107.0,2506.0,187.0,2019-04-02 21:41:52,2024-02-26 17:33:47,hummingbot/hummingbot,active,,2023-07-12 02:23:06.461951 viperfish,https://github.com/xreptoid/viperfish,NEW,Extended Research,2024-03-14 13:20:26,58.0,7.0,1.0,2023-09-26 14:22:15,2023-10-03 11:04:31,xreptoid/viperfish,active,,2023-10-18 01:43:11.697362 -Bookmarklet-Hacks-For-School,https://github.com/xploitspeeds/Bookmarklet-Hacks-For-School,NEW,Extended Research,2024-03-13 05:35:51,128.0,92.0,2.0,2020-10-06 14:46:38,2021-12-15 22:06:05,xploitspeeds/Bookmarklet-Hacks-For-School,inactive,,2022-09-28 03:32:02.272302 +Bookmarklet-Hacks-For-School,https://github.com/xploitspeeds/Bookmarklet-Hacks-For-School,NEW,Extended Research,2024-03-19 21:24:24,128.0,92.0,2.0,2020-10-06 14:46:38,2021-12-15 22:06:05,xploitspeeds/Bookmarklet-Hacks-For-School,inactive,,2022-09-28 03:32:02.272302 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,2024-03-14 23:14:07,41.0,11.0,0.0,2019-01-04 12:30:41,2019-02-18 09:55:21,AlexIoannides/pymc-stochastic-process,inactive,, HFT,https://github.com/JiayuZou2020/HFT,NEW,Extended Research,2024-01-15 08:02:40,120.0,12.0,1.0,2022-04-11 09:25:34,2023-03-15 07:38:42,JiayuZou2020/HFT,active,,2023-03-22 02:01:07.929004 crypto-hft-data,https://github.com/SpiralDevelopment/crypto-hft-data,NEW,Extended Research,2024-03-11 18:43:41,52.0,20.0,1.0,2020-07-20 12:25:45,2020-07-23 15:30:15,SpiralDevelopment/crypto-hft-data,inactive,,2024-02-14 01:40:53.422733 HFT-CNN,https://github.com/ShimShim46/HFT-CNN,NEW,Extended Research,2024-03-12 05:30:53,116.0,25.0,1.0,2018-08-18 06:39:32,2018-11-09 02:29:00,ShimShim46/HFT-CNN,inactive,,2021-04-21 01:25:51.827641 -finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2024-01-13 23:51:19,463.0,166.0,20.0,2013-03-17 10:00:22,2023-11-27 22:45:54,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641 -performance,https://github.com/alexkachanov/performance,NEW,Extended Research,2024-01-23 09:32:31,76.0,32.0,1.0,2017-11-28 04:10:43,2022-01-19 10:52:06,alexkachanov/performance,inactive,,2021-11-10 01:47:27.749840 -roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2024-03-08 10:25:41,450.0,105.0,2.0,2018-03-05 08:37:57,2024-03-15 14:21:28,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641 -fraud-detection-handbook,https://github.com/Fraud-Detection-Handbook/fraud-detection-handbook,NEW,Extended Research,2024-03-16 14:30:37,413.0,154.0,2.0,2021-05-03 11:33:12,2022-09-08 09:01:56,Fraud-Detection-Handbook/fraud-detection-handbook,active,,2021-07-28 01:53:22.622209 +finmath-lib,https://github.com/finmath/finmath-lib,NEW,Extended Research,2024-03-19 23:43:10,464.0,165.0,20.0,2013-03-17 10:00:22,2023-11-27 22:45:54,finmath/finmath-lib,active,,2021-04-21 01:25:51.827641 +performance,https://github.com/alexkachanov/performance,NEW,Extended Research,2024-01-23 09:32:31,76.0,33.0,1.0,2017-11-28 04:10:43,2022-01-19 10:52:06,alexkachanov/performance,inactive,,2021-11-10 01:47:27.749840 +roq-api,https://github.com/roq-trading/roq-api,NEW,Extended Research,2024-03-22 20:01:36,452.0,105.0,2.0,2018-03-05 08:37:57,2024-03-19 15:06:26,roq-trading/roq-api,active,,2021-04-21 01:25:51.827641 +fraud-detection-handbook,https://github.com/Fraud-Detection-Handbook/fraud-detection-handbook,NEW,Extended Research,2024-03-22 17:03:56,416.0,154.0,2.0,2021-05-03 11:33:12,2022-09-08 09:01:56,Fraud-Detection-Handbook/fraud-detection-handbook,active,,2021-07-28 01:53:22.622209 fraud-detection-demo,https://github.com/afedulov/fraud-detection-demo,NEW,Extended Research,2024-03-05 00:54:29,321.0,145.0,2.0,2019-11-04 09:23:17,2023-05-12 09:37:04,afedulov/fraud-detection-demo,active,,2021-04-21 01:25:51.827641 neural-finance,https://github.com/Metnew/neural-finance,NEW,Extended Research,2023-10-25 12:04:54,80.0,31.0,1.0,2016-12-30 17:14:13,2017-06-26 22:42:06,Metnew/neural-finance,inactive,,2021-04-21 01:25:51.827641 -wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2024-03-16 16:22:18,3254.0,650.0,13.0,2020-03-30 05:43:52,2023-12-25 09:46:15,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641 -Dual-Attentive-Tree-aware-Embedding,https://github.com/Roytsai27/Dual-Attentive-Tree-aware-Embedding,NEW,Extended Research,2024-03-13 03:55:31,62.0,19.0,2.0,2020-02-10 03:03:24,2021-07-18 03:12:19,Roytsai27/Dual-Attentive-Tree-aware-Embedding,inactive,,2022-12-21 02:04:22.974529 -BERT4ETH,https://github.com/git-disl/BERT4ETH,NEW,Extended Research,2024-03-07 15:48:09,86.0,15.0,1.0,2023-02-05 20:36:20,2023-11-30 02:03:23,git-disl/BERT4ETH,active,,2023-12-13 01:48:56.499560 +wondertrader,https://github.com/wondertrader/wondertrader,NEW,Extended Research,2024-03-23 16:30:47,3282.0,655.0,13.0,2020-03-30 05:43:52,2023-12-25 09:46:15,wondertrader/wondertrader,active,,2021-04-21 01:25:51.827641 +Dual-Attentive-Tree-aware-Embedding,https://github.com/Roytsai27/Dual-Attentive-Tree-aware-Embedding,NEW,Extended Research,2024-03-22 20:39:36,61.0,19.0,2.0,2020-02-10 03:03:24,2021-07-18 03:12:19,Roytsai27/Dual-Attentive-Tree-aware-Embedding,inactive,,2022-12-21 02:04:22.974529 +BERT4ETH,https://github.com/git-disl/BERT4ETH,NEW,Extended Research,2024-03-19 12:48:53,88.0,15.0,1.0,2023-02-05 20:36:20,2023-11-30 02:03:23,git-disl/BERT4ETH,active,,2023-12-13 01:48:56.499560 awesome-high-frequency-trading,https://github.com/StateOfTheArt-quant/awesome-high-frequency-trading,NEW,Extended Research,2024-03-06 15:48:10,75.0,19.0,1.0,2020-09-14 03:07:10,2021-11-10 16:01:48,StateOfTheArt-quant/awesome-high-frequency-trading,inactive,,2023-06-21 02:05:50.408289 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,,, -go-hft-orderbook,https://github.com/alexey-ernest/go-hft-orderbook,NEW,Extended Research,2024-03-16 22:12:22,183.0,50.0,2.0,2019-12-02 18:05:00,2023-12-18 19:21:31,alexey-ernest/go-hft-orderbook,active,,2021-07-28 01:53:22.622209 -edgar-crawler,https://github.com/nlpaueb/edgar-crawler,NEW,Extended Research,2024-03-15 22:44:25,211.0,58.0,3.0,2021-09-24 10:00:47,2023-08-28 18:57:42,nlpaueb/edgar-crawler,active,,2022-09-28 03:32:02.272302 -gamma-ray,https://github.com/hello2all/gamma-ray,NEW,Extended Research,2024-03-15 00:54:00,312.0,84.0,3.0,2020-12-28 19:46:09,2022-02-07 09:00:03,hello2all/gamma-ray,inactive,,2021-11-10 01:47:27.749840 +go-hft-orderbook,https://github.com/alexey-ernest/go-hft-orderbook,NEW,Extended Research,2024-03-21 09:02:00,184.0,50.0,2.0,2019-12-02 18:05:00,2023-12-18 19:21:31,alexey-ernest/go-hft-orderbook,active,,2021-07-28 01:53:22.622209 +edgar-crawler,https://github.com/nlpaueb/edgar-crawler,NEW,Extended Research,2024-03-23 09:37:20,213.0,59.0,3.0,2021-09-24 10:00:47,2023-08-28 18:57:42,nlpaueb/edgar-crawler,active,,2022-09-28 03:32:02.272302 +gamma-ray,https://github.com/hello2all/gamma-ray,NEW,Extended Research,2024-03-20 11:52:37,313.0,84.0,3.0,2020-12-28 19:46:09,2022-02-07 09:00:03,hello2all/gamma-ray,inactive,,2021-11-10 01:47:27.749840 InteractiveBrokers-Algo-System,https://github.com/rediar/InteractiveBrokers-Algo-System,NEW,Extended Research,2024-03-14 09:16:46,230.0,86.0,1.0,2018-01-21 03:09:41,2023-06-12 01:31:10,rediar/InteractiveBrokers-Algo-Trading-API,active,,2021-04-21 01:25:51.827641 -Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2024-03-05 22:49:21,224.0,69.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,inactive,,2021-04-21 01:25:51.827641 -avellaneda-stoikov,https://github.com/fedecaccia/avellaneda-stoikov,NEW,Extended Research,2024-03-14 07:26:42,344.0,120.0,1.0,2020-05-02 22:20:21,2020-05-02 22:40:59,fedecaccia/avellaneda-stoikov,inactive,,2021-12-01 01:54:26.681376 -tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2024-03-16 08:37:52,3933.0,941.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641 +Financial-Formulas-Library-.NET-Standard,https://github.com/srbrettle/Financial-Formulas-Library-.NET-Standard,NEW,Extended Research,2024-03-19 18:37:17,225.0,69.0,2.0,2018-09-01 17:43:37,2019-11-22 12:50:30,srbrettle/Financial-Formulas-Library-.NET-Standard,inactive,,2021-04-21 01:25:51.827641 +avellaneda-stoikov,https://github.com/fedecaccia/avellaneda-stoikov,NEW,Extended Research,2024-03-22 23:36:55,349.0,120.0,1.0,2020-05-02 22:20:21,2020-05-02 22:40:59,fedecaccia/avellaneda-stoikov,inactive,,2021-12-01 01:54:26.681376 +tribeca,https://github.com/michaelgrosner/tribeca,NEW,Extended Research,2024-03-21 20:33:10,3939.0,942.0,22.0,2015-07-07 18:40:45,2018-02-26 18:01:13,michaelgrosner/tribeca,inactive,,2021-04-21 01:25:51.827641 Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,2022-06-04 07:29:35,3.0,4.0,1.0,2019-01-24 13:37:45,2019-02-13 16:48:00,sarachmax/MarketCrashes_Prediction,inactive,, dl-ml-twitch-macos,https://github.com/bshang165/dl-ml-twitch-macos,NEW,Extended Research,2023-06-20 20:23:19,50.0,0.0,1.0,2023-06-09 14:55:24,2023-06-24 17:14:37,bshang165/dl-ml-twitch-macos,active,,2023-06-21 02:05:50.408289 -FraudDetection,https://github.com/JarFraud/FraudDetection,NEW,Extended Research,2024-03-13 18:13:59,108.0,59.0,2.0,2019-10-07 03:02:28,2022-08-10 07:18:52,JarFraud/FraudDetection,active,,2022-03-30 02:25:09.963278 -Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2024-01-20 14:39:13,77.0,47.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,inactive,,2021-04-21 01:25:51.827641 -UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2024-02-06 12:28:44,123.0,26.0,2.0,2020-06-01 22:34:14,2022-04-18 04:54:53,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631 +FraudDetection,https://github.com/JarFraud/FraudDetection,NEW,Extended Research,2024-03-17 07:25:35,109.0,59.0,2.0,2019-10-07 03:02:28,2022-08-10 07:18:52,JarFraud/FraudDetection,active,,2022-03-30 02:25:09.963278 +Fraud_Detection_Techniques,https://github.com/wmlba/Fraud_Detection_Techniques,NEW,Extended Research,2024-03-20 23:34:42,78.0,47.0,1.0,2019-02-14 02:27:13,2020-06-14 23:36:47,wmlba/Fraud_Detection_Techniques,inactive,,2021-04-21 01:25:51.827641 +UGFraud,https://github.com/safe-graph/UGFraud,NEW,Extended Research,2024-03-19 15:42:26,123.0,26.0,2.0,2020-06-01 22:34:14,2022-04-18 04:54:53,safe-graph/UGFraud,active,,2021-05-26 02:41:08.838631 cashflows,https://github.com/jdvelasq/cashflows,NEW,Extended Research,2024-03-01 03:44:44,78.0,28.0,2.0,2016-11-23 22:47:40,2021-07-22 22:00:46,jdvelasq/cashflows,inactive,,2022-03-30 02:25:09.963278 thunder-trader,https://github.com/frankfan007/thunder-trader,NEW,Extended Research,2024-02-29 01:34:15,61.0,49.0,2.0,2020-07-09 01:37:37,2019-11-09 03:17:28,frankfan007/thunder-trader,inactive,,2023-05-10 01:57:42.215646 Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,2023-06-02 02:45:49,27.0,20.0,1.0,2018-01-29 05:01:52,2018-08-02 05:56:49,chen-bowen/Computational_Finance,inactive,, -StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2024-03-14 19:05:08,658.0,272.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641 +StockPredictionRNN,https://github.com/dzitkowskik/StockPredictionRNN,NEW,Extended Research,2024-03-23 11:52:15,661.0,272.0,2.0,2015-11-26 19:00:35,2016-05-21 15:51:22,dzitkowskik/StockPredictionRNN,inactive,,2021-04-21 01:25:51.827641 fraud-detection,https://github.com/cloudacademy/fraud-detection,NEW,Extended Research,2024-02-26 16:49:37,56.0,21.0,4.0,2017-08-03 09:07:49,2021-03-21 23:29:57,cloudacademy/fraud-detection,inactive,,2022-08-31 03:47:22.763041 Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,2023-08-18 10:50:06,4.0,6.0,1.0,2019-01-19 18:16:47,2019-02-18 16:57:19,atulram/Finance-and-Stocks,inactive,, -PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2024-03-11 03:35:16,592.0,5.0,3.0,2020-07-05 07:59:38,2023-10-06 13:14:07,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641 -antifraud,https://github.com/AI4Risk/antifraud,NEW,Extended Research,2024-03-14 02:58:31,113.0,26.0,5.0,2023-03-22 12:54:08,2024-02-19 16:23:32,AI4Risk/antifraud,active,,2024-01-24 01:52:33.474369 +PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,https://github.com/TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,NEW,Extended Research,2024-03-20 00:24:41,595.0,5.0,3.0,2020-07-05 07:59:38,2023-10-06 13:14:07,TheSnowGuru/PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop,active,,2021-04-21 01:25:51.827641 +antifraud,https://github.com/AI4Risk/antifraud,NEW,Extended Research,2024-03-20 13:11:27,114.0,27.0,5.0,2023-03-22 12:54:08,2024-03-17 03:20:14,AI4Risk/antifraud,active,,2024-01-24 01:52:33.474369 High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,2024-02-23 08:43:42,39.0,20.0,1.0,2016-07-06 20:32:21,2018-06-09 10:53:51,cswaney/prickle,inactive,, -roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2024-02-21 10:48:29,153.0,55.0,3.0,2018-03-27 04:19:09,2024-03-15 13:04:30,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278 +roq-samples,https://github.com/roq-trading/roq-samples,NEW,Extended Research,2024-02-21 10:48:29,153.0,55.0,3.0,2018-03-27 04:19:09,2024-03-19 07:54:41,roq-trading/roq-samples,active,,2021-05-05 01:50:21.293278 fraudfinder,https://github.com/GoogleCloudPlatform/fraudfinder,NEW,Extended Research,2024-03-09 04:56:07,174.0,65.0,9.0,2022-09-01 10:37:19,2024-02-08 17:18:59,GoogleCloudPlatform/fraudfinder,active,,2023-02-01 02:24:40.551327 -ESL,https://github.com/INET-Complexity/ESL,NEW,Extended Research,2024-02-20 13:37:26,52.0,11.0,2.0,2019-07-21 19:12:33,2022-06-23 00:52:40,INET-Complexity/ESL,active,,2023-08-23 01:37:48.265993 +ESL,https://github.com/INET-Complexity/ESL,NEW,Extended Research,2024-03-17 16:42:58,53.0,11.0,2.0,2019-07-21 19:12:33,2022-06-23 00:52:40,INET-Complexity/ESL,active,,2023-08-23 01:37:48.265993 fx_systrade,https://github.com/ryogrid/fx_systrade,NEW,Extended Research,2023-12-08 06:40:13,87.0,34.0,2.0,2015-07-24 11:46:28,2020-10-23 10:17:01,ryogrid/fx_systrade,inactive,,2021-04-21 01:25:51.827641 -dashboard,https://github.com/hummingbot/dashboard,NEW,Extended Research,2024-03-15 21:33:43,133.0,76.0,12.0,2022-06-17 19:15:31,2024-02-02 14:13:44,hummingbot/dashboard,active,,2023-05-17 02:01:28.861839 +dashboard,https://github.com/hummingbot/dashboard,NEW,Extended Research,2024-03-23 11:32:40,134.0,76.0,12.0,2022-06-17 19:15:31,2024-02-02 14:13:44,hummingbot/dashboard,active,,2023-05-17 02:01:28.861839 Avellaneda-Stoikov,https://github.com/mdibo/Avellaneda-Stoikov,NEW,Extended Research,2024-02-09 04:03:16,120.0,80.0,1.0,2017-10-16 03:36:34,2020-05-09 23:35:08,mdibo/Avellaneda-Stoikov,inactive,,2021-06-02 04:27:12.212333 system,https://github.com/BillRun/system,NEW,Extended Research,2024-03-14 22:10:32,105.0,70.0,10.0,2013-04-11 16:14:53,2022-09-19 14:24:20,BillRun/system,active,,2021-04-21 01:25:51.827641 A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,https://github.com/SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,NEW,Extended Research,2024-02-02 09:11:24,77.0,20.0,1.0,2017-11-27 06:37:43,2019-01-08 18:13:34,SheikhRabiul/A-Deep-Learning-Based-Illegal-Insider-Trading-Detection-and-Prediction-Technique-in-Stock-Market,inactive,,2021-04-21 01:25:51.827641 hft,https://github.com/nickhuangxinyu/hft,NEW,Extended Research,2022-06-03 14:49:18,248.0,113.0,2.0,2019-03-12 14:57:01,2022-04-20 09:56:09,nickhuangxinyu/hft,active,,2021-04-21 01:25:51.827641 lobster,https://github.com/rubik/lobster,NEW,Extended Research,2024-03-07 02:44:44,93.0,22.0,2.0,2020-09-20 19:21:11,2022-09-03 06:55:49,rubik/lobster,active,,2022-11-16 02:45:07.198669 -HFT,https://github.com/jshellen/HFT,NEW,Extended Research,2024-03-16 21:12:43,313.0,72.0,1.0,2020-07-19 10:31:17,2023-09-24 13:06:18,jshellen/HFT,active,,2022-08-17 03:20:52.042782 +HFT,https://github.com/jshellen/HFT,NEW,Extended Research,2024-03-23 23:38:34,318.0,72.0,1.0,2020-07-19 10:31:17,2023-09-24 13:06:18,jshellen/HFT,active,,2022-08-17 03:20:52.042782 algo-trading-server,https://github.com/cryptocontrol/algo-trading-server,NEW,Extended Research,2024-02-16 18:25:39,56.0,28.0,5.0,2019-03-07 15:08:36,2019-08-25 16:22:24,cryptocontrol/algo-trading-server,inactive,,2023-06-28 02:24:17.308219 Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,2024-02-21 16:40:34,44.0,27.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,inactive,, math-finance-cheat-sheet,https://github.com/daleroberts/math-finance-cheat-sheet,NEW,Extended Research,2024-03-11 02:29:24,224.0,31.0,1.0,2014-05-02 00:19:01,2016-11-16 05:57:09,daleroberts/math-finance-cheat-sheet,inactive,,2021-04-21 01:25:51.827641 HFTBOT,https://github.com/Naseefabu/HFTBOT,NEW,Extended Research,2024-03-07 19:00:46,87.0,31.0,1.0,2022-05-05 05:55:13,2023-04-06 15:56:49,Naseefabu/HFTBOT,active,,2023-05-31 02:19:43.302784 spartan,https://github.com/rigtorp/spartan,NEW,Extended Research,2024-03-13 15:36:36,252.0,81.0,1.0,2012-11-22 04:29:42,2015-10-31 03:46:06,rigtorp/spartan,inactive,,2021-04-21 01:25:51.827641 -FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2024-03-12 01:43:29,440.0,139.0,4.0,2017-05-22 03:24:35,2023-03-08 01:28:42,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641 -ECE1373_2016_hft_on_fpga,https://github.com/mustafabbas/ECE1373_2016_hft_on_fpga,NEW,Extended Research,2024-02-27 05:19:02,93.0,29.0,1.0,2017-06-01 20:35:13,2017-06-08 18:47:08,mustafabbas/ECE1373_2016_hft_on_fpga,inactive,,2022-09-21 03:43:07.816825 -Algo-Trading,https://github.com/Manudecara/Algo-Trading,NEW,Extended Research,2024-02-28 17:56:25,100.0,29.0,1.0,2020-07-07 10:14:46,2021-09-15 15:46:50,Manudecara/Algo-Trading,inactive,,2022-08-03 03:11:33.837114 -math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2024-03-12 12:37:39,2297.0,235.0,20.0,2016-04-03 17:57:14,2024-03-03 00:21:15,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641 +FX-1-Minute-Data,https://github.com/philipperemy/FX-1-Minute-Data,NEW,Extended Research,2024-03-23 07:06:59,441.0,140.0,4.0,2017-05-22 03:24:35,2023-03-08 01:28:42,philipperemy/FX-1-Minute-Data,active,,2021-04-21 01:25:51.827641 +ECE1373_2016_hft_on_fpga,https://github.com/mustafabbas/ECE1373_2016_hft_on_fpga,NEW,Extended Research,2024-02-27 05:19:02,93.0,30.0,1.0,2017-06-01 20:35:13,2017-06-08 18:47:08,mustafabbas/ECE1373_2016_hft_on_fpga,inactive,,2022-09-21 03:43:07.816825 +Algo-Trading,https://github.com/Manudecara/Algo-Trading,NEW,Extended Research,2024-03-17 02:45:07,101.0,29.0,1.0,2020-07-07 10:14:46,2021-09-15 15:46:50,Manudecara/Algo-Trading,inactive,,2022-08-03 03:11:33.837114 +math-php,https://github.com/markrogoyski/math-php,NEW,Extended Research,2024-03-22 05:44:05,2299.0,235.0,20.0,2016-04-03 17:57:14,2024-03-03 00:21:15,markrogoyski/math-php,active,,2021-04-21 01:25:51.827641 448Project,https://github.com/HujiaYuYoyo/448Project,NEW,Extended Research,2024-01-31 18:06:51,101.0,57.0,4.0,2018-04-14 21:19:21,2018-06-10 09:29:37,HujiaYuYoyo/448Project,inactive,,2021-04-21 01:25:51.827641 gym-fx,https://github.com/harveybc/gym-fx,NEW,Extended Research,2024-01-19 10:18:26,196.0,51.0,2.0,2017-02-21 21:04:09,2023-01-08 17:22:00,harveybc/gym-fx,active,,2021-04-21 01:25:51.827641 -getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2024-03-07 17:53:09,297.0,52.0,5.0,2015-10-02 21:40:50,2024-02-16 06:15:54,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641 +getIPIntel,https://github.com/blackdotsh/getIPIntel,NEW,Extended Research,2024-03-17 23:49:13,298.0,52.0,5.0,2015-10-02 21:40:50,2024-02-16 06:15:54,blackdotsh/getIPIntel,active,,2021-04-21 01:25:51.827641 bidask,https://github.com/eguidotti/bidask,NEW,Extended Research,2024-03-12 12:39:07,72.0,18.0,1.0,2022-05-08 20:22:40,2023-12-15 16:33:40,eguidotti/bidask,active,,2022-10-19 03:33:27.868296 -anomaly-detection-resources,https://github.com/yzhao062/anomaly-detection-resources,NEW,Extended Research,2024-03-14 02:49:55,7787.0,1703.0,17.0,2018-05-16 20:02:54,2023-11-17 02:22:06,yzhao062/anomaly-detection-resources,active,,2022-01-05 01:58:48.216479 -Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2024-03-14 22:57:12,488.0,274.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,inactive,,2021-04-21 01:25:51.827641 +anomaly-detection-resources,https://github.com/yzhao062/anomaly-detection-resources,NEW,Extended Research,2024-03-23 01:49:05,7792.0,1703.0,17.0,2018-05-16 20:02:54,2023-11-17 02:22:06,yzhao062/anomaly-detection-resources,active,,2022-01-05 01:58:48.216479 +Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,NEW,Extended Research,2024-03-22 20:39:32,488.0,275.0,1.0,2017-06-09 13:58:13,2019-06-28 09:27:45,curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras,inactive,,2021-04-21 01:25:51.827641 InteractiveBrokers-Algo-Trading-API,https://github.com/rediar/InteractiveBrokers-Algo-Trading-API,NEW,Extended Research,2024-03-14 09:16:46,230.0,86.0,1.0,2018-01-21 03:09:41,2023-06-12 01:31:10,rediar/InteractiveBrokers-Algo-Trading-API,active,,2023-06-14 02:09:49.043076 -Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2024-03-14 05:12:50,954.0,240.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,inactive,, +Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,2024-03-23 05:42:37,956.0,239.0,3.0,2018-09-16 20:00:36,2020-09-05 13:01:05,AlgoTraders/stock-analysis-engine,inactive,, kafka-fraud-detector,https://github.com/florimondmanca/kafka-fraud-detector,NEW,Extended Research,2023-10-30 17:49:14,80.0,48.0,3.0,2018-09-13 17:36:49,2019-04-29 22:04:23,florimondmanca/kafka-fraud-detector,inactive,,2021-04-21 01:25:51.827641 -AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2024-03-15 18:41:20,293.0,130.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3 -equity-risk-model,https://github.com/blaahhrrgg/equity-risk-model,NEW,Factor and Risk Analysis,2024-02-06 03:54:29,22.0,5.0,1.0,2021-11-16 11:29:57,2024-01-30 11:48:44,blaahhrrgg/equity-risk-model,active,,2022-07-27 03:12:05.817551 +AlphaTrading,https://github.com/jerryxyx/AlphaTrading,NEW,Factor and Risk Analysis,2024-03-18 21:07:15,294.0,131.0,1.0,2018-05-18 22:09:52,2018-08-07 18:05:37,jerryxyx/AlphaTrading,inactive,,37:06.3 +equity-risk-model,https://github.com/blaahhrrgg/equity-risk-model,NEW,Factor and Risk Analysis,2024-03-22 20:36:26,23.0,5.0,1.0,2021-11-16 11:29:57,2024-01-30 11:48:44,blaahhrrgg/equity-risk-model,active,,2022-07-27 03:12:05.817551 -1,https://github.com/Rastaman4e/-1,NEW,Factor and Risk Analysis,,,,,,,Rastaman4e/-1,,,2023-08-30 01:39:52.258766 Bitcoin-Price-Prediction-using-AI-ML.,https://github.com/ananya2001gupta/Bitcoin-Price-Prediction-using-AI-ML.,NEW,Factor and Risk Analysis,2024-03-05 08:41:39,10.0,0.0,1.0,2022-08-02 13:16:50,2022-08-02 14:29:16,ananya2001gupta/Bitcoin-Price-Prediction-using-AI-ML.,active,,2023-10-25 01:41:24.950267 -Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2024-03-15 01:37:34,220.0,75.0,5.0,2017-05-01 07:36:54,2022-05-21 15:02:13,alpha-miner/alpha-mind,active,, +Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,2024-03-19 03:07:37,221.0,75.0,5.0,2017-05-01 07:36:54,2022-05-21 15:02:13,alpha-miner/alpha-mind,active,, CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,2023-10-08 06:38:35,41.0,20.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,, -Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2024-03-06 01:25:04,1700.0,902.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,, +Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,2024-03-23 01:34:31,1705.0,901.0,1.0,2014-12-15 11:23:34,2018-07-10 06:38:12,yhilpisch/py4fi,inactive,, Empirical-Method-in-Finance,https://github.com/yitaohu88/Empirical-Method-in-Finance,NEW,Factor and Risk Analysis,2024-03-06 15:37:21,32.0,19.0,1.0,2021-01-13 23:48:30,2021-01-13 23:57:32,yitaohu88/Empirical-Method-in-Finance,inactive,,2021-12-15 01:51:30.275584 Quantitative-Trading-Strategy-Based-on-Machine-Learning,https://github.com/majiajue/Quantitative-Trading-Strategy-Based-on-Machine-Learning,NEW,Factor and Risk Analysis,2024-01-13 18:47:25,13.0,10.0,1.0,2020-08-07 06:22:35,2020-08-04 06:20:36,majiajue/Quantitative-Trading-Strategy-Based-on-Machine-Learning,inactive,,2023-02-22 02:15:25.831315 simulate,https://github.com/leolle/simulate,NEW,Factor and Risk Analysis,2023-08-24 07:19:52,16.0,4.0,1.0,2017-06-04 15:18:21,2018-11-11 14:03:40,leolle/simulate,inactive,,23:57.7 stock-market-analysis-using-python-numpy-pandas,https://github.com/Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,NEW,Factor and Risk Analysis,2023-06-19 13:36:25,19.0,7.0,1.0,2018-04-10 05:15:49,2018-04-10 05:28:54,Ashishsinha10/stock-market-analysis-using-python-numpy-pandas,inactive,,23:57.7 --L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2024-03-14 03:08:14,47.0,40.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,inactive,,23:57.7 +-L-,https://github.com/jettbrains/-L-,NEW,Factor and Risk Analysis,2024-03-19 09:59:12,50.0,40.0,1.0,2019-10-28 21:50:26,2019-10-28 21:51:19,jettbrains/-L-,inactive,,23:57.7 Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,2024-03-10 07:28:20,168.0,70.0,2.0,2017-09-12 13:35:09,2020-08-06 12:35:44,PyDataBlog/Python-for-Data-Science,inactive,, Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,2023-09-07 04:11:34,28.0,23.0,1.0,2015-10-04 09:10:54,2020-03-28 18:33:58,mrefermat/FinancePhD,inactive,, Machine_learning_In_Finance,https://github.com/chaudharigauravi/Machine_learning_In_Finance,NEW,Factor and Risk Analysis,2024-02-27 04:35:52,17.0,6.0,1.0,2019-08-03 04:04:51,2019-08-03 04:05:32,chaudharigauravi/Machine_learning_In_Finance,inactive,,23:57.7 @@ -867,27 +867,27 @@ Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-In VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,2021-10-12 20:59:24,11.0,10.0,1.0,2016-11-15 19:24:17,2017-01-14 21:19:30,willb/var-notebook,inactive,, 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,2024-02-29 13:09:00,77.0,41.0,1.0,2018-08-06 16:09:44,2022-06-24 19:05:55,hamaadshah/market_risk_gan_tensorflow,active,, Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,2024-02-21 16:40:34,44.0,27.0,1.0,2018-08-11 22:59:53,2019-11-12 04:49:01,mrefermat/quant_finance,inactive,, -Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2024-03-16 16:55:46,5380.0,1695.0,40.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,inactive,, +Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,2024-03-23 22:00:00,5389.0,1694.0,40.0,2015-06-01 15:31:39,2020-02-28 17:30:19,quantopian/pyfolio,inactive,, The-Reason-Why-Everyone-Love-Mining-Tools,https://github.com/dcstechnoweb/The-Reason-Why-Everyone-Love-Mining-Tools,NEW,Factor and Risk Analysis,2024-02-29 06:00:00,6.0,0.0,1.0,2022-06-13 05:11:36,2022-06-13 05:12:52,dcstechnoweb/The-Reason-Why-Everyone-Love-Mining-Tools,active,,2023-11-01 01:46:06.255605 Liberty-House-Club-Whitepaper,https://github.com/Mdshobu/Liberty-House-Club-Whitepaper,NEW,Factor and Risk Analysis,2024-03-11 16:11:51,8.0,4.0,0.0,2022-07-12 18:36:00,2022-04-22 08:27:24,Mdshobu/Liberty-House-Club-Whitepaper,active,,2024-01-24 01:52:41.762869 Stock-Prediction,https://github.com/Ronak-59/Stock-Prediction,NEW,Factor and Risk Analysis,2024-03-10 20:58:49,194.0,89.0,2.0,2018-03-18 04:54:45,2020-02-28 11:43:07,Ronak-59/Stock-Prediction,inactive,,37:06.3 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,2023-10-08 06:38:35,41.0,20.0,1.0,2016-05-10 11:03:48,2016-05-17 03:44:56,RJT1990/Active-Portfolio-Management-Notes,inactive,, -SafetyAndTrade,https://github.com/vrdcas/SafetyAndTrade,NEW,Factor and Risk Analysis,2023-12-29 04:44:00,8.0,1.0,1.0,2020-04-11 20:18:03,2020-04-12 17:00:36,vrdcas/SafetyAndTrade,inactive,,2021-11-10 01:47:36.099011 +SafetyAndTrade,https://github.com/vrdcas/SafetyAndTrade,NEW,Factor and Risk Analysis,2024-03-19 09:56:40,9.0,1.0,1.0,2020-04-11 20:18:03,2020-04-12 17:00:36,vrdcas/SafetyAndTrade,inactive,,2021-11-10 01:47:36.099011 An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns,https://github.com/Leo8216/An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns,NEW,Factor and Risk Analysis,2024-02-11 15:23:04,6.0,0.0,1.0,2020-01-18 00:53:46,2020-01-18 03:59:36,Leo8216/An-Analysis-of-PCA-and-Autoencoder-Generated-Factors-in-Predicting-SP500-Returns,inactive,,2023-11-29 01:47:27.779477 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,2023-12-27 03:38:29,6.0,7.0,1.0,2018-03-13 07:39:20,2018-03-13 07:42:36,garvit-kudesia91/factor_analysis,inactive,, -Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,https://github.com/deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,NEW,Factor and Risk Analysis,2024-02-20 12:42:01,34.0,8.0,1.0,2019-12-21 07:14:30,2020-07-06 11:21:13,deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,inactive,,2021-11-10 01:47:36.099011 +Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,https://github.com/deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,NEW,Factor and Risk Analysis,2024-03-23 14:35:11,35.0,8.0,1.0,2019-12-21 07:14:30,2020-07-06 11:21:13,deepak223098/Long-Term-Stock-Price-Growth-Prediction-using-NLP-on-10-K-Financial-Reports,inactive,,2021-11-10 01:47:36.099011 Bitcoin_Since_Pandemic,https://github.com/at-tan/Bitcoin_Since_Pandemic,NEW,Factor and Risk Analysis,2023-09-17 15:41:18,6.0,1.0,1.0,2022-02-12 11:12:37,2022-02-12 17:46:45,at-tan/Bitcoin_Since_Pandemic,inactive,,2023-06-14 02:10:00.531616 Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,2024-01-19 00:18:58,26.0,22.0,1.0,2018-06-26 20:36:47,2019-10-22 21:56:46,ssanderson/convex-optimization-for-finance,inactive,, -Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2024-03-17 00:16:48,3038.0,1085.0,16.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,inactive,, +Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,2024-03-23 14:40:30,3044.0,1087.0,16.0,2016-06-03 21:49:15,2020-04-27 18:40:41,quantopian/alphalens,inactive,, factor-risk-parity,https://github.com/tngaspar/factor-risk-parity,NEW,Factor and Risk Analysis,2024-01-04 16:54:57,8.0,2.0,1.0,2020-04-05 17:05:40,2022-09-18 14:42:03,tngaspar/factor-risk-parity,active,,2023-07-05 02:22:59.556906 Liberty-House-Club-Whitepaper,https://github.com/realbeeed/Liberty-House-Club-Whitepaper,NEW,Factor and Risk Analysis,2023-07-04 19:58:03,8.0,4.0,1.0,2022-04-22 08:25:39,2022-04-22 08:27:24,realbeeed/Liberty-House-Club-Whitepaper,active,,2023-04-19 02:01:58.730674 woe,https://github.com/boredbird/woe,NEW,Fixed Income,2024-03-10 22:11:48,252.0,104.0,1.0,2017-09-11 07:15:04,2018-03-01 10:45:40,boredbird/woe,inactive,,24:33.4 -rateslib,https://github.com/attack68/rateslib,NEW,Fixed Income,2024-03-14 23:22:30,55.0,14.0,3.0,2023-03-31 12:47:27,2024-03-14 19:04:34,attack68/rateslib,active,,2023-11-23 01:44:46.924754 +rateslib,https://github.com/attack68/rateslib,NEW,Fixed Income,2024-03-18 23:41:03,57.0,13.0,3.0,2023-03-31 12:47:27,2024-03-22 08:39:54,attack68/rateslib,active,,2023-11-23 01:44:46.924754 TRACE-corporate-bond-processing,https://github.com/Alexander-M-Dickerson/TRACE-corporate-bond-processing,NEW,Fixed Income,2024-03-15 03:18:53,34.0,11.0,1.0,2020-12-18 10:20:12,2023-12-03 07:05:12,Alexander-M-Dickerson/TRACE-corporate-bond-processing,active,,2023-09-28 01:40:08.764882 rating_history,https://github.com/govwiki/rating_history,NEW,Fixed Income,2023-12-08 06:38:15,41.0,21.0,3.0,2017-11-23 22:52:14,2023-06-29 22:16:57,govwiki/rating_history,active,,24:33.4 Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,2024-02-20 12:27:14,18.0,10.0,1.0,2017-09-27 19:57:13,2017-09-27 20:00:29,ishank011/gs-quantify-bond-prediction,inactive,, Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,2021-10-12 20:27:27,4.0,6.0,1.0,2018-07-18 19:26:54,2018-07-18 19:34:48,RobinsonGarcia/fixed-income,inactive,, -neurons,https://github.com/Aryia-Behroziuan/neurons,NEW,Fixed Income,2024-03-12 13:44:10,42.0,12.0,1.0,2020-11-07 12:17:04,2020-11-07 12:17:06,Aryia-Behroziuan/neurons,inactive,,2023-04-13 01:55:32.250591 +neurons,https://github.com/Aryia-Behroziuan/neurons,NEW,Fixed Income,2024-03-21 14:23:55,43.0,12.0,1.0,2020-11-07 12:17:04,2020-11-07 12:17:06,Aryia-Behroziuan/neurons,inactive,,2023-04-13 01:55:32.250591 augmented-finance-protocol,https://github.com/augmented-finance/augmented-finance-protocol,NEW,Fixed Income,2024-02-14 16:54:15,37.0,19.0,25.0,2021-03-27 11:01:43,2022-02-16 15:58:35,augmented-finance/augmented-finance-protocol,inactive,,2022-01-27 01:48:43.220405 MagentoExtensions,https://github.com/5mehulhelp5/MagentoExtensions,NEW,Fixed Income,2024-03-04 14:41:25,117.0,107.0,2.0,2014-07-03 05:45:54,2022-04-01 03:43:35,5mehulhelp5/MagentoExtensions,active,,24:33.4 punk.protocol,https://github.com/PunkFinance/punk.protocol,NEW,Fixed Income,2023-12-08 06:38:31,21.0,9.0,2.0,2021-04-29 08:39:42,2021-08-13 11:53:11,PunkFinance/punk.protocol,inactive,,2021-11-04 01:49:46.780625 @@ -895,91 +895,91 @@ R-fixedincome,https://github.com/wilsonfreitas/R-fixedincome,NEW,Fixed Income,20 market-data,https://github.com/kriasoft/market-data,NEW,Fixed Income,2024-02-20 12:43:42,32.0,23.0,1.0,2012-12-07 13:42:48,2012-12-15 12:10:06,kriasoft/market-data,inactive,,24:33.4 Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,2024-02-20 12:43:55,6.0,3.0,1.0,2019-02-02 08:44:14,2019-05-03 17:16:52,hy-lei/math-finance-toolbox,inactive,, DROP-Fixed-Income,https://github.com/lakshmiDRIP/DROP-Fixed-Income,NEW,Fixed Income,2024-02-20 12:44:04,26.0,13.0,1.0,2017-08-10 20:58:18,2018-09-26 19:21:02,lakshmiDRIP/DROP-Fixed-Income,inactive,,2021-06-17 01:50:56.302719 -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,2024-02-19 06:14:53,352.0,109.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6 -AI-Scalpel-Trading-Bot,https://github.com/hackobi/AI-Scalpel-Trading-Bot,NEW,Other Models,2024-03-15 01:54:32,258.0,48.0,2.0,2019-09-06 07:17:28,2023-08-24 22:50:53,hackobi/AI-Scalpel-Trading-Bot,active,,2021-11-18 01:46:56.309445 -intelligent-trading-bot,https://github.com/asavinov/intelligent-trading-bot,NEW,Other Models,2024-03-16 00:59:19,710.0,158.0,2.0,2021-10-24 08:34:07,2024-03-16 13:06:50,asavinov/intelligent-trading-bot,active,,2022-01-06 02:02:52.861734 -Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib),Other Models,2024-03-16 22:34:54,1051.0,421.0,5.0,2019-11-15 08:51:40,2023-01-18 09:11:25,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6 -mlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2024-03-16 03:30:29,3726.0,1099.0,3.0,2019-02-13 16:57:25,2021-12-01 08:04:50,hudson-and-thames/mlfinlab,inactive,3.0,39:24.6 -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,2024-03-04 06:35:57,492.0,60.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,inactive,3.0,39:24.6 -Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib,Other Models,2024-03-15 02:33:47,2394.0,770.0,1.0,2016-09-12 18:38:17,2021-06-24 15:43:54,anfederico/clairvoyant,inactive,3.0, +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,2024-03-21 15:46:48,351.0,109.0,1.0,2017-01-17 12:44:52,2017-01-17 12:48:17,AdeelMufti/CryptoBot,inactive,2.0,39:24.6 +AI-Scalpel-Trading-Bot,https://github.com/hackobi/AI-Scalpel-Trading-Bot,NEW,Other Models,2024-03-23 14:56:34,259.0,48.0,2.0,2019-09-06 07:17:28,2023-08-24 22:50:53,hackobi/AI-Scalpel-Trading-Bot,active,,2021-11-18 01:46:56.309445 +intelligent-trading-bot,https://github.com/asavinov/intelligent-trading-bot,NEW,Other Models,2024-03-23 07:22:36,717.0,158.0,2.0,2021-10-24 08:34:07,2024-03-23 17:13:57,asavinov/intelligent-trading-bot,active,,2022-01-06 02:02:52.861734 +Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,official repo for [machine learning for algorithmic trading](https://www.amazon.com/Machine-Learning-Algorithmic-Trading-alternative/dp/1839217715?pf_rd_r=GZH2XZ35GB3BET09PCCA&pf_rd_p=c5b6893a-24f2-4a59-9d4b-aff5065c90ec&pd_rd_r=91a679c7-f069-4a6e-bdbb-a2b3f548f0c8&pd_rd_w=2B0Q0&pd_rd_wg=GMY5S&ref_=pd_gw_ci_mcx_mr_hp_d) book. Covering topics including backtesting/boosting/nlp/deep&reinforcement learning. Leverage open source libraries including [backtrader](https://www.backtrader.com/) [zipline](https://github.com/quantopian/zipline) and [talib](https://github.com/mrjbq7/ta-lib),Other Models,2024-03-22 00:03:36,1058.0,422.0,5.0,2019-11-15 08:51:40,2023-01-18 09:11:25,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original,active,4.0,39:24.6 +mlfinlab,https://github.com/hudson-and-thames/mlfinlab,open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data science](https://jfds.pm-research.com/) / [journal of portfolio management](https://jpm.pm-research.com/) / [journal of algorithmic finance](http://www.algorithmicfinance.org/) / [cambridge university press](https://www.cambridge.org/),Other Models,2024-03-23 19:28:42,3735.0,1099.0,3.0,2019-02-13 16:57:25,2021-12-01 08:04:50,hudson-and-thames/mlfinlab,inactive,3.0,39:24.6 +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,2024-03-20 16:48:35,493.0,60.0,1.0,2016-03-11 19:13:00,2020-12-21 03:54:51,melling/MathAndScienceNotes,inactive,3.0,39:24.6 +Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement. Sklearn SVM model is used and good visualization coded in matplotlib,Other Models,2024-03-19 21:33:39,2395.0,769.0,1.0,2016-09-12 18:38:17,2021-06-24 15:43:54,anfederico/clairvoyant,inactive,3.0, hyperdrive,https://github.com/suchak1/hyperdrive,NEW,Other Models,2024-03-16 00:19:54,119.0,18.0,2.0,2020-06-12 01:05:01,2023-07-08 05:21:13,suchak1/hyperdrive,active,,2023-12-07 01:46:31.256751 -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,2024-03-11 08:12:10,1036.0,192.0,5.0,2016-02-14 00:47:32,2024-02-10 16:41:20,ScottfreeLLC/AlphaPy,active,4.0,39:24.6 +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,2024-03-23 11:20:40,1040.0,191.0,5.0,2016-02-14 00:47:32,2024-02-10 16:41:20,ScottfreeLLC/AlphaPy,active,4.0,39:24.6 Algorithmic-Trading,https://github.com/SravB/Algorithmic-Trading,NEW,Other Models,2024-02-19 06:14:34,111.0,74.0,0.0,2017-08-02 03:31:47,2017-12-27 04:21:55,SravB/Algorithmic-Trading,inactive,,2022-09-22 03:28:15.579175 -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,2024-02-08 22:14:47,1194.0,104.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,inactive,2.0,39:24.6 -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,2024-03-13 00:22:04,1690.0,317.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,inactive,3.0,39:24.6 +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,2024-03-23 21:10:44,1196.0,104.0,8.0,2018-08-20 03:13:31,2019-05-23 14:40:50,kkyon/botflow,inactive,2.0,39:24.6 +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,2024-03-20 01:59:08,1695.0,318.0,6.0,2020-08-30 07:56:22,2020-09-21 04:32:05,tradytics/surpriver,inactive,3.0,39:24.6 Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms and regime changes based on a seminar given to quantinsti in 2017 and summary and video is [here](https://blog.quantinsti.com/webinar-can-we-use-mixture-models-to-predict-market-bottoms/). Gaussian mixture models are build on markov models and expectation maximization thoery to detect regimes and seminar reported positive results using features asset returns/tedrate/10y2ysptread/10y3m spread from fred which can be access here [fredapi](https://github.com/mortada/fredapi). Though most of the returns came from being long equities after 2009 ,Other Models,2024-02-05 21:29:42,35.0,38.0,1.0,2017-03-20 18:54:24,2017-04-25 23:35:20,BlackArbsCEO/Mixture_Models,inactive,2.0, Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,https://github.com/dduemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,NEW,Other Models,2024-03-16 12:39:34,224.0,49.0,1.0,2019-02-19 17:40:43,2023-07-11 16:44:23,duemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network,active,,2021-06-17 01:51:12.428196 Pattern-Recognition-for-Forex-Trading,https://github.com/PythonProgramming/Pattern-Recognition-for-Forex-Trading,repo for article [pattern recognization for forex trading](https://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/) not very scalable and not maintained,Other Models,2024-03-15 14:24:11,224.0,104.0,1.0,2015-03-26 02:22:03,2015-03-26 02:33:51,PythonProgramming/Pattern-Recognition-for-Forex-Trading,inactive,1.0,39:24.6 -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,2024-03-16 22:43:35,2342.0,531.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,inactive,5.0,39:24.6 -Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible,Other Models,2024-03-16 22:53:44,368.0,131.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,inactive,2.0,39:24.6 -Algorithmic_Trading_Machine_Learning,https://github.com/Luchkata/Algorithmic_Trading_Machine_Learning,NEW,Other Models,2024-03-13 21:59:05,155.0,92.0,1.0,2023-10-13 13:26:45,2024-02-04 15:29:13,Luchkata/Algorithmic_Trading_Machine_Learning,active,,2024-01-11 01:48:10.556312 +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,2024-03-23 01:48:16,2343.0,529.0,3.0,2018-11-05 21:09:06,2020-10-08 16:48:18,grananqvist/Awesome-Quant-Machine-Learning-Trading,inactive,5.0,39:24.6 +Machine-Learning-and-AI-in-Trading,https://github.com/PyPatel/Machine-Learning-and-AI-in-Trading,repo covering lstm and other sklearn model for trading. Code is not structured well and less extensible,Other Models,2024-03-17 13:10:21,367.0,131.0,1.0,2017-08-30 06:14:59,2019-10-29 08:14:39,PyPatel/Machine-Learning-and-AI-in-Trading,inactive,2.0,39:24.6 +Algorithmic_Trading_Machine_Learning,https://github.com/Luchkata/Algorithmic_Trading_Machine_Learning,NEW,Other Models,2024-03-23 15:55:29,160.0,97.0,1.0,2023-10-13 13:26:45,2024-02-04 15:29:13,Luchkata/Algorithmic_Trading_Machine_Learning,active,,2024-01-11 01:48:10.556312 STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA,https://github.com/kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA,NEW,Other Models,2024-02-15 00:10:11,116.0,37.0,1.0,2018-09-05 03:20:52,2022-09-08 13:19:53,kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA,active,,2023-04-27 01:58:37.089750 -finance_ml,https://github.com/jjakimoto/finance_ml,unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated,Other Models,2024-03-10 15:49:58,723.0,213.0,1.0,2018-06-29 21:21:17,2021-06-07 19:28:50,jjakimoto/finance_ml,inactive,1.0,39:24.6 +finance_ml,https://github.com/jjakimoto/finance_ml,unofficial repo based on [Advances in Financial Machine Learning](https://www.amazon.com/Advances-Financial-Machine-Learning-Marcos/dp/1119482089). It's incomplete and not updated,Other Models,2024-03-20 01:59:06,724.0,214.0,1.0,2018-06-29 21:21:17,2021-06-07 19:28:50,jjakimoto/finance_ml,inactive,1.0,39:24.6 stock-trading-ml,https://github.com/yacoubb/stock-trading-ml,lstm model using keras to predict msft prices. Data is from [alphavantage](https://www.alphavantage.co/) which provides some free data through web services. Showing how to use concatenation layer to join timeseries data with TA data. Might be abit of overfitting on the model though,Other Models,2024-03-16 21:10:07,566.0,253.0,1.0,2019-10-10 09:44:02,2019-10-12 11:38:49,yacoubb/stock-trading-ml,inactive,3.0,39:24.6 -financial-machine-learning,https://github.com/firmai/financial-machine-learning,NEW,Other Models,2024-03-16 21:44:29,5405.0,1085.0,6.0,2019-03-21 21:00:35,2024-03-15 01:39:19,firmai/financial-machine-learning,active,,2021-12-23 01:53:55.850276 -mlbot_tutorial,https://github.com/richmanbtc/mlbot_tutorial,NEW,Other Models,2024-03-16 22:45:32,446.0,177.0,3.0,2021-07-19 14:07:12,2022-11-28 08:30:59,richmanbtc/mlbot_tutorial,active,,2021-12-02 01:48:54.299974 -TradingView-Machine-Learning-GUI,https://github.com/TreborNamor/TradingView-Machine-Learning-GUI,NEW,Other Models,2024-03-13 14:09:12,660.0,215.0,2.0,2021-01-27 06:42:02,2023-11-19 17:43:32,TreborNamor/TradingView-Machine-Learning-GUI,active,,2021-11-04 01:49:57.418614 -fracdiff,https://github.com/fracdiff/fracdiff,NEW,Other Models,2024-03-10 00:26:28,258.0,40.0,0.0,2021-04-27 06:48:47,2023-02-05 02:51:15,fracdiff/fracdiff,active,,2022-12-22 02:04:58.328612 +financial-machine-learning,https://github.com/firmai/financial-machine-learning,NEW,Other Models,2024-03-23 17:36:53,5420.0,1085.0,6.0,2019-03-21 21:00:35,2024-03-22 01:37:59,firmai/financial-machine-learning,active,,2021-12-23 01:53:55.850276 +mlbot_tutorial,https://github.com/richmanbtc/mlbot_tutorial,NEW,Other Models,2024-03-17 13:51:09,446.0,177.0,3.0,2021-07-19 14:07:12,2022-11-28 08:30:59,richmanbtc/mlbot_tutorial,active,,2021-12-02 01:48:54.299974 +TradingView-Machine-Learning-GUI,https://github.com/TreborNamor/TradingView-Machine-Learning-GUI,NEW,Other Models,2024-03-22 07:30:14,664.0,215.0,2.0,2021-01-27 06:42:02,2023-11-19 17:43:32,TreborNamor/TradingView-Machine-Learning-GUI,active,,2021-11-04 01:49:57.418614 +fracdiff,https://github.com/fracdiff/fracdiff,NEW,Other Models,2024-03-21 14:44:29,262.0,40.0,0.0,2021-04-27 06:48:47,2023-02-05 02:51:15,fracdiff/fracdiff,active,,2022-12-22 02:04:58.328612 Speculator,https://github.com/amicks/Speculator,python code to predict crypto prices using machine learning models. Two models used here tensorflow DNNClassifier and sklearn randomforest. Exposes the functionality as web services api using flask. Some idea are based on this paper [predicting the direction of stock market prices](https://arxiv.org/pdf/1605.00003.pdf),Other Models,2023-07-03 18:27:42,104.0,35.0,2.0,2017-09-03 17:43:03,2018-09-12 18:58:38,amicks/Speculator,inactive,3.0,39:24.6 Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,code repo for [machine learning for algorithmic trading bots](https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video) video series. Contains notebooks and deep dive using [zipline](https://github.com/quantopian/zipline),Other Models,2024-03-12 02:54:16,366.0,160.0,6.0,2018-12-06 11:35:08,2023-01-30 09:31:10,PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python,active,3.0,39:24.6 -tuneta,https://github.com/jmrichardson/tuneta,NEW,Other Models,2024-03-16 22:15:24,369.0,61.0,5.0,2021-01-20 01:05:51,2023-10-13 21:26:28,jmrichardson/tuneta,active,,2022-05-26 02:55:21.598499 +tuneta,https://github.com/jmrichardson/tuneta,NEW,Other Models,2024-03-23 10:21:31,371.0,61.0,5.0,2021-01-20 01:05:51,2023-10-13 21:26:28,jmrichardson/tuneta,active,,2022-05-26 02:55:21.598499 AMLSim,https://github.com/IBM/AMLSim,NEW,Other Models,2024-03-15 14:06:00,228.0,81.0,5.0,2018-12-18 16:14:56,2022-02-14 01:00:28,IBM/AMLSim,inactive,,2021-07-22 01:53:20.044539 mosquito,https://github.com/miro-ka/mosquito,base framework trading bot for crypto. Stores data in local mongodb instance and supports backtest and live trading on [poloniex](https://poloniex.com/) and [bittrex](https://bittrex.com/) which are 12-15th ranked crypto exchanges by volume. Leverage [talib](https://github.com/mrjbq7/ta-lib) for ta data and [plotly](https://github.com/plotly/plotly.py) for visualization,Other Models,2024-03-16 22:53:35,258.0,53.0,2.0,2017-06-18 19:57:17,2023-04-23 21:39:31,miro-ka/mosquito,active,3.0,39:24.6 -ML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc.,Other Models,2024-03-15 11:11:20,1078.0,334.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,inactive,3.0,39:24.6 -awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc.,Other Models,2024-03-15 23:36:27,2713.0,345.0,16.0,2018-08-29 02:07:02,2023-10-16 00:30:11,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6 -qlib,https://github.com/microsoft/qlib,NEW,Other Models,2024-03-16 22:04:17,13926.0,2411.0,112.0,2020-08-14 06:46:00,2024-03-07 06:41:21,microsoft/qlib,active,,2023-05-25 01:58:58.951785 -MLSys-NYU-2022,https://github.com/jacopotagliabue/MLSys-NYU-2022,NEW,Other Models,2024-03-14 04:41:26,245.0,22.0,4.0,2022-07-29 21:57:24,2022-12-11 23:07:15,jacopotagliabue/MLSys-NYU-2022,active,,2023-02-02 02:13:42.893436 -Microservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System,docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud,Other Models,2024-03-15 08:02:58,363.0,150.0,1.0,2020-01-06 00:21:58,2023-10-17 20:13:37,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6 +ML_Finance_Codes,https://github.com/mfrdixon/ML_Finance_Codes,accompanying materials for book [Machine Learning in Finance](https://www.springer.com/gp/book/9783030410674) covering probabilistic modeling/sequence modeling/neural networks/reinforcement learning etc.,Other Models,2024-03-24 00:59:46,1187.0,358.0,3.0,2019-09-27 16:13:50,2020-06-13 21:20:26,mfrdixon/ML_Finance_Codes,inactive,3.0,39:24.6 +awesome-ai-in-finance,https://github.com/georgezouq/awesome-ai-in-finance,curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc.,Other Models,2024-03-23 01:41:46,2725.0,349.0,17.0,2018-08-29 02:07:02,2024-03-21 00:47:33,georgezouq/awesome-ai-in-finance,active,3.0,39:24.6 +qlib,https://github.com/microsoft/qlib,NEW,Other Models,2024-03-24 00:35:58,13995.0,2421.0,113.0,2020-08-14 06:46:00,2024-03-20 12:48:52,microsoft/qlib,active,,2023-05-25 01:58:58.951785 +MLSys-NYU-2022,https://github.com/jacopotagliabue/MLSys-NYU-2022,NEW,Other Models,2024-03-23 13:06:59,249.0,22.0,4.0,2022-07-29 21:57:24,2022-12-11 23:07:15,jacopotagliabue/MLSys-NYU-2022,active,,2023-02-02 02:13:42.893436 +Microservices-Based-Algorithmic-Trading-System,https://github.com/saeed349/Microservices-Based-Algorithmic-Trading-System,docker based platfrom for developing algo trading strategies. Very interesting combinations of open source components were used including [backtrader](https://www.backtrader.com/) for backtest strategies / [mlflow](https://mlflow.org/) for managing the machine learning model life cycle (i.e. training and developing machine learning models) / [airflow](https://airflow.apache.org/) used as workflow management including schedule data download etc. / [superset](https://superset.apache.org/) web data visualization tool similar to tableau / [minio](https://min.io/) for fast object storage (i.e. storing saved models and model artifacts) / postgresql used to store security master and daily and minute data. Also contains some details on deployment on cloud,Other Models,2024-03-23 21:21:10,365.0,119.0,1.0,2020-01-06 00:21:58,2023-10-17 20:13:37,saeed349/Microservices-Based-Algorithmic-Trading-System,active,5.0,39:24.6 MLiFC,https://github.com/JannesKlaas/MLiFC,NEW,Other Models,2024-02-03 15:39:56,103.0,58.0,1.0,2017-09-14 11:47:33,2018-02-27 12:15:11,JannesKlaas/MLiFC,inactive,,2022-03-10 02:10:30.131488 -Machine-Learning-for-Asset-Managers,https://github.com/emoen/Machine-Learning-for-Asset-Managers,NEW,Other Models,2024-03-12 00:39:21,414.0,143.0,1.0,2020-06-21 17:56:55,2022-09-07 10:03:16,emoen/Machine-Learning-for-Asset-Managers,active,,2021-11-04 01:49:57.418614 -fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2024-03-12 17:47:53,675.0,355.0,2.0,2020-05-10 00:25:56,2023-01-26 22:03:20,tatsath/fin-ml,active,4.0,39:24.6 -Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc.,Other Models,2024-03-15 19:50:45,768.0,195.0,1.0,2018-07-22 08:14:46,2022-02-12 13:26:40,Hvass-Labs/FinanceOps,inactive,3.0, -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,2024-03-14 04:50:54,1251.0,596.0,3.0,2019-05-07 11:04:25,2023-01-18 09:16:47,PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading,active,5.0,39:24.6 +Machine-Learning-for-Asset-Managers,https://github.com/emoen/Machine-Learning-for-Asset-Managers,NEW,Other Models,2024-03-22 22:24:20,416.0,144.0,1.0,2020-06-21 17:56:55,2022-09-07 10:03:16,emoen/Machine-Learning-for-Asset-Managers,active,,2021-11-04 01:49:57.418614 +fin-ml,https://github.com/tatsath/fin-ml,accompanying materials for book [Machine Learning and Data Science Blueprints for Finance](https://www.amazon.com/Machine-Learning-Science-Blueprints-Finance/dp/1492073059) on top of basic machine learning models i.e. nlp/reinforcement learning/supervised & unsupervised learning it covers wider topics including robo-advisors/fraud detection/loan default/derivative pricing/yield curve construction.,Other Models,2024-03-23 17:27:57,681.0,356.0,2.0,2020-05-10 00:25:56,2023-01-26 22:03:20,tatsath/fin-ml,active,4.0,39:24.6 +Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts and a curated list of notebooks. Each topic contains a youtube video explaining in details. Interesting topics including using price per book ratio and other multiples for future return prediction and portfolio optimization. data sourced form [simfin](https://github.com/SimFin/simfin) yahoo finance and [s&p 500 earnings and estimate report](https://www.spglobal.com/spdji/en/documents/additional-material/sp-500-eps-est.xlsx) etc.,Other Models,2024-03-21 13:13:32,770.0,195.0,1.0,2018-07-22 08:14:46,2022-02-12 13:26:40,Hvass-Labs/FinanceOps,inactive,3.0, +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,2024-03-22 14:26:02,1254.0,597.0,3.0,2019-05-07 11:04:25,2023-01-18 09:16:47,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,2024-03-10 16:23:54,191.0,85.0,1.0,2017-12-11 17:05:38,2020-05-13 23:50:47,BlackArbsCEO/mixture_model_trading_public,inactive,3.0, -Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained,Other Models,2024-03-16 07:01:42,1618.0,493.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,inactive,3.0, +Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained,Other Models,2024-03-22 18:29:49,1625.0,494.0,2.0,2017-02-12 04:50:44,2021-02-04 03:48:33,robertmartin8/MachineLearningStocks,inactive,3.0, Machine-Learning-For-Finance,https://github.com/anthonyng2/Machine-Learning-For-Finance,accompanying materials for slide [here](https://github.com/anthonyng2/Machine-Learning-For-Finance/blob/master/Regression%20Based%20Machine%20Learning%20for%20Algorithmic%20Trading/Machine%20Learning%20-%20Linear%20Regression%20for%20Algo%20Trading%20v2017-07-13.pdf) covering more tradition quant trading topics like pair trading/kalman filter/trend following etc. Referecing interesting paper [characterization of financial time series](http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_11_01.pdf),Other Models,2024-01-25 01:28:58,240.0,133.0,1.0,2017-07-11 09:09:15,2018-02-21 05:36:35,anthonyng2/Machine-Learning-For-Finance,inactive,2.0,39:24.6 Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,, Binance-Ai-Bot-Starter,https://github.com/Hephyrius/Binance-Ai-Bot-Starter,NEW,Other Models,2024-03-06 16:27:04,99.0,36.0,1.0,2019-03-04 17:47:44,2022-04-17 10:37:31,Hephyrius/Binance-Ai-Bot-Starter,active,,2024-02-29 01:37:23.869820 -pybroker,https://github.com/edtechre/pybroker,NEW,Other Models,2024-03-16 22:37:20,1531.0,182.0,2.0,2023-01-16 01:11:52,2024-03-17 00:33:50,edtechre/pybroker,active,,2023-03-09 02:19:51.167524 -Machine-Learning-for-Finance,https://github.com/PacktPublishing/Machine-Learning-for-Finance,repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems,Other Models,2024-03-14 12:30:39,331.0,204.0,5.0,2018-03-15 06:28:00,2023-01-30 09:45:35,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6 -Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2024-03-16 08:21:59,858.0,216.0,18.0,2019-12-29 05:18:07,2024-03-05 17:05:40,DaveSkender/Stock.Indicators,active,3.0,39:24.6 +pybroker,https://github.com/edtechre/pybroker,NEW,Other Models,2024-03-22 17:50:55,1541.0,183.0,2.0,2023-01-16 01:11:52,2024-03-17 17:59:07,edtechre/pybroker,active,,2023-03-09 02:19:51.167524 +Machine-Learning-for-Finance,https://github.com/PacktPublishing/Machine-Learning-for-Finance,repo for book [machine learning for finance](https://www.packtpub.com/product/machine-learning-for-finance/9781789136364) with heavier focus on machine learning and less on finance. Topics covered including computer vision/time series/nlp/generative models (i.e. autoencoder)/reinforcement learning/debugging ml systems,Other Models,2024-03-23 05:24:37,332.0,204.0,5.0,2018-03-15 06:28:00,2023-01-30 09:45:35,PacktPublishing/Machine-Learning-for-Finance,active,3.0,39:24.6 +Stock.Indicators,https://github.com/DaveSkender/Stock.Indicators,list of technical indicators implemented in c#. Full list and explanation available [here](https://daveskender.github.io/Stock.Indicators/docs/INDICATORS.html). This list contains several indicators that ta-lib does not cover,Other Models,2024-03-22 21:04:30,862.0,216.0,18.0,2019-12-29 05:18:07,2024-03-17 06:01:18,DaveSkender/Stock.Indicators,active,3.0,39:24.6 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 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,, Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,, -PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2024-03-16 22:35:32,4068.0,906.0,30.0,2018-05-29 13:30:30,2023-12-06 05:51:54,robertmartin8/PyPortfolioOpt,active,, -Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2024-03-17 00:28:38,1692.0,741.0,6.0,2017-11-12 16:08:44,2021-07-30 15:03:59,ZhengyaoJiang/PGPortfolio,inactive,, +PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,2024-03-23 15:55:34,4079.0,906.0,30.0,2018-05-29 13:30:30,2023-12-06 05:51:54,robertmartin8/PyPortfolioOpt,active,, +Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,2024-03-22 00:56:06,1697.0,743.0,6.0,2017-11-12 16:08:44,2021-07-30 15:03:59,ZhengyaoJiang/PGPortfolio,inactive,, riskparity.py,https://github.com/convexfi/riskparity.py,NEW,Portfolio Selection and Optimisation,2024-03-10 14:10:35,272.0,64.0,4.0,2019-07-13 21:30:55,2024-03-01 23:58:48,convexfi/riskparity.py,active,,2022-11-18 02:45:12.756264 -DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2024-03-15 09:23:20,814.0,132.0,7.0,2020-02-02 08:46:33,2024-01-24 15:56:34,jankrepl/deepdow,active,, +DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,2024-03-22 19:37:18,821.0,132.0,7.0,2020-02-02 08:46:33,2024-01-24 15:56:34,jankrepl/deepdow,active,, OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,2023-08-29 04:04:34,10.0,6.0,1.0,2016-07-26 16:20:10,2016-12-30 11:40:53,charlessutton/OLMAR,inactive,, node-finance,https://github.com/albertosantini/node-finance,NEW,Portfolio Selection and Optimisation,2023-12-16 13:32:16,122.0,26.0,3.0,2011-09-17 17:49:56,2022-09-30 05:08:24,albertosantini/node-finance,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,2024-01-26 14:08:26,175.0,76.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,, +Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,2024-03-22 20:12:45,177.0,76.0,1.0,2018-02-17 08:19:46,2018-02-27 13:16:57,tthustla/efficient_frontier,inactive,, Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,2024-03-01 06:00:12,124.0,67.0,1.0,2017-02-10 09:03:08,2018-03-08 16:47:00,tcloaa/Deep-Portfolio-Theory,inactive,, -Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2024-03-15 07:45:03,2600.0,453.0,4.0,2020-03-02 19:49:06,2024-03-06 15:11:43,dcajasn/Riskfolio-Lib,active,,37:19.5 +Riskfolio-Lib,https://github.com/dcajasn/Riskfolio-Lib,NEW,Portfolio Selection and Optimisation,2024-03-23 17:17:37,2614.0,455.0,4.0,2020-03-02 19:49:06,2024-03-06 15:11:43,dcajasn/Riskfolio-Lib,active,,37:19.5 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,,,,,,,,,, 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,2024-03-09 05:56:19,340.0,90.0,3.0,2018-11-16 12:20:25,2024-02-27 21:38:36,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,2023-10-12 09:04:18,16.0,7.0,1.0,2018-08-01 19:48:24,2019-09-05 11:18:56,otosman/Python-for-Finance,inactive,, Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,2024-03-10 20:51:07,444.0,172.0,1.0,2017-10-07 09:14:33,2018-06-26 09:22:27,filangelos/qtrader,inactive,, riskparity.py,https://github.com/dppalomar/riskparity.py,NEW,Portfolio Selection and Optimisation,2024-03-10 14:10:35,272.0,64.0,4.0,2019-07-13 21:30:55,2024-03-01 23:58:48,convexfi/riskparity.py,active,,37:19.5 -okama,https://github.com/mbk-dev/okama,NEW,Portfolio Selection and Optimisation,2024-03-11 04:34:37,180.0,32.0,6.0,2020-03-02 14:48:29,2024-02-28 13:54:15,mbk-dev/okama,active,,2022-10-07 03:12:00.541788 +okama,https://github.com/mbk-dev/okama,NEW,Portfolio Selection and Optimisation,2024-03-20 01:59:07,180.0,32.0,6.0,2020-03-02 14:48:29,2024-02-28 13:54:15,mbk-dev/okama,active,,2022-10-07 03:12:00.541788 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,,,,,,,,,, finance-courses,https://github.com/z4ir3/finance-courses,NEW,Portfolio Selection and Optimisation,2024-03-12 00:03:30,152.0,114.0,1.0,2019-10-10 10:50:03,2023-12-11 23:09:10,z4ir3/finance-courses,active,,2022-03-18 02:12:10.767052 -cvxportfolio,https://github.com/cvxgrp/cvxportfolio,NEW,Portfolio Selection and Optimisation,2024-03-16 19:42:12,770.0,212.0,12.0,2017-01-11 01:16:16,2024-03-16 13:10:32,cvxgrp/cvxportfolio,active,,2023-04-14 01:54:57.485735 -finsight,https://github.com/vishwasg217/finsight,NEW,Textual,2024-03-13 14:23:55,167.0,69.0,2.0,2023-09-06 13:01:39,2024-01-20 17:14:31,vishwasg217/finsight,active,,2023-11-17 01:45:55.776837 +cvxportfolio,https://github.com/cvxgrp/cvxportfolio,NEW,Portfolio Selection and Optimisation,2024-03-20 14:46:46,775.0,212.0,13.0,2017-01-11 01:16:16,2024-03-22 14:05:21,cvxgrp/cvxportfolio,active,,2023-04-14 01:54:57.485735 +finsight,https://github.com/vishwasg217/finsight,NEW,Textual,2024-03-19 07:04:20,168.0,70.0,2.0,2023-09-06 13:01:39,2024-01-20 17:14:31,vishwasg217/finsight,active,,2023-11-17 01:45:55.776837 Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,2024-02-20 12:42:49,9.0,6.0,1.0,2017-12-30 08:56:03,2018-01-11 02:11:11,lin882/WebAnalyticsProject,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,2023-12-08 06:36:38,3.0,7.0,1.0,2018-02-04 21:51:16,2018-02-04 21:57:09,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,2024-03-14 23:58:52,191.0,80.0,2.0,2017-05-24 12:36:38,2019-08-07 21:47:08,GitiHubi/deepAI,inactive,, -awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2024-03-12 07:57:16,384.0,63.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,inactive,,24:28.5 +awesome-financial-nlp,https://github.com/icoxfog417/awesome-financial-nlp,NEW,Textual,2024-03-22 03:22:20,385.0,63.0,2.0,2019-10-03 03:53:20,2020-02-01 08:28:16,icoxfog417/awesome-financial-nlp,inactive,,24:28.5 FinBERT,https://github.com/psnonis/FinBERT,NEW,Textual,2024-02-20 12:42:57,190.0,62.0,3.0,2019-07-09 16:34:27,2020-05-19 02:02:20,psnonis/FinBERT,inactive,,24:28.5 NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,, Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,2024-02-23 21:35:18,113.0,63.0,1.0,2017-10-25 07:10:26,2020-06-05 03:28:46,TiesdeKok/Python_NLP_Tutorial,inactive,, Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,2023-02-23 03:11:54,9.0,6.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,, -ChatGPT-for-FinTech,https://github.com/AI4Finance-Foundation/ChatGPT-for-FinTech,NEW,Textual,2024-03-17 00:48:13,10988.0,1564.0,29.0,2023-02-11 20:21:34,2024-03-16 00:55:11,AI4Finance-Foundation/FinGPT,active,,2023-03-31 02:01:33.842893 -news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2024-02-01 02:25:28,321.0,127.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5 +ChatGPT-for-FinTech,https://github.com/AI4Finance-Foundation/ChatGPT-for-FinTech,NEW,Textual,2024-03-23 16:45:44,11079.0,1579.0,29.0,2023-02-11 20:21:34,2024-03-16 00:55:11,AI4Finance-Foundation/FinGPT,active,,2023-03-31 02:01:33.842893 +news-emotion,https://github.com/dongyuanxin/news-emotion,NEW,Textual,2024-03-22 23:14:14,322.0,127.0,1.0,2017-09-14 02:59:03,2018-06-11 13:47:51,dongyuanxin/news-emotion,inactive,,24:28.5 Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,2024-03-06 08:24:39,85.0,40.0,1.0,2017-06-23 00:05:49,2023-05-08 00:58:50,EricHe98/Financial-Statements-Text-Analysis,active,, -Cornucopia-LLaMA-Fin-Chinese,https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese,NEW,Textual,2024-03-14 07:17:21,498.0,48.0,1.0,2023-04-30 06:11:18,2023-06-30 07:52:13,jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese,active,,2023-06-16 02:07:47.526052 -BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2024-02-25 05:45:55,149.0,29.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,inactive,,24:28.5 -financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2024-03-14 19:18:56,210.0,96.0,1.0,2016-08-23 13:29:07,2023-03-09 06:53:26,philipperemy/financial-news-dataset,active,,24:28.5 +Cornucopia-LLaMA-Fin-Chinese,https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese,NEW,Textual,2024-03-23 16:23:09,509.0,50.0,1.0,2023-04-30 06:11:18,2023-06-30 07:52:13,jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese,active,,2023-06-16 02:07:47.526052 +BDCI2019-Negative_Finance_Info_Judge,https://github.com/A-Rain/BDCI2019-Negative_Finance_Info_Judge,NEW,Textual,2024-03-23 09:01:52,150.0,29.0,3.0,2019-12-27 03:49:31,2020-12-04 03:38:57,A-Rain/BDCI2019-Negative_Finance_Info_Judge,inactive,,24:28.5 +financial-news-dataset,https://github.com/philipperemy/financial-news-dataset,NEW,Textual,2024-03-23 12:32:18,213.0,96.0,1.0,2016-08-23 13:29:07,2023-03-09 06:53:26,philipperemy/financial-news-dataset,active,,24:28.5 Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,2023-12-08 06:36:18,17.0,12.0,1.0,2018-06-04 20:54:14,2018-06-04 20:56:02,MAydogdu/TextualAnalysis,inactive,, NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,2024-02-25 18:26:55,94.0,40.0,1.0,2018-07-02 23:50:52,2019-01-31 14:08:20,yuriak/DLQuant,inactive,, FinNLP-Progress,https://github.com/YangLinyi/FinNLP-Progress,NEW,Textual,2024-03-12 06:48:31,377.0,54.0,5.0,2020-05-21 09:59:56,2022-04-18 09:21:22,YangLinyi/FinNLP-Progress,active,,24:28.5 @@ -993,6 +993,6 @@ Credit-Card-Fraud-Detection,https://github.com/sharmaroshan/Credit-Card-Fraud-De Stock_Support_Resistance_ML,https://github.com/judopro/Stock_Support_Resistance_ML,NEW,Unsupervised,2024-02-23 14:25:58,91.0,31.0,1.0,2019-12-22 20:25:48,2021-05-02 04:25:21,judopro/Stock_Support_Resistance_ML,inactive,,2021-05-07 01:53:28.160570 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,,, Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,2023-02-23 03:11:54,9.0,6.0,1.0,2018-04-16 22:18:55,2018-06-07 22:01:32,frechfrechfrech/Mutual-Fund-Market-Clusters,inactive,, -all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2024-03-01 13:05:57,153.0,40.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,inactive,,24:29.9 +all-classification-templetes-for-ML,https://github.com/sayantann11/all-classification-templetes-for-ML,NEW,Unsupervised,2024-03-21 19:19:55,154.0,40.0,1.0,2020-05-05 10:28:52,2020-05-05 10:30:32,sayantann11/all-classification-templetes-for-ML,inactive,,24:29.9 Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,2024-03-14 01:09:54,161.0,62.0,0.0,2017-09-05 19:19:19,2017-09-27 20:42:14,marketneutral/pairs-trading-with-ML,inactive,, VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,2024-02-11 14:39:47,37.0,13.0,1.0,2017-06-21 04:47:14,2017-06-21 04:51:13,ml-hongkong/stock2vec,inactive,,