mirror of
https://github.com/firmai/financial-machine-learning.git
synced 2026-08-25 08:48:04 +00:00
update github client new list
This commit is contained in:
Bin Yang
@@ -2,15 +2,6 @@
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[](https://gitter.im/financial-machine-learning/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
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[](https://gitter.im/financial-machine-learning/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
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# Financial Machine Learning and Data Science
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# Financial Machine Learning and Data Science
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**This repo is officially under revamp as of 3/29/2021!!**
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***TODOs and roadmap is under the github project [here](https://github.com/firmai/financial-machine-learning/projects/1) If you would like to contribute to this repo, please send us a pull request or contact [@dereknow](https://twitter.com/dereknow) or [@bin-yang-algotune](https://twitter.com/b3yang) <br>
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Or join us in the gitter chat [here](https://gitter.im/financial-machine-learning/community)
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***
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___
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Updated Repo Information including the creation date/last update date/number of stars etc can be found [here](https://github.com/firmai/financial-machine-learning/blob/master/raw_data/url_list.csv) <br>
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Repo list is updated nightly and status is shown on the badge
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___
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A curated list of practical financial machine learning (FinML) tools and applications. This collection is primarily in Python.
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A curated list of practical financial machine learning (FinML) tools and applications. This collection is primarily in Python.
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@@ -18,6 +9,16 @@ A listed repository should be deprecated if:
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- Repository's owner explicitly say that "this library is not maintained".
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- Repository's owner explicitly say that "this library is not maintained".
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- Not committed for long time (2~3 years).
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- Not committed for long time (2~3 years).
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**This repo is officially under revamp as of 3/29/2021!!**
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***TODOs and roadmap is under the github project [here](https://github.com/firmai/financial-machine-learning/projects/1) If you would like to contribute to this repo, please send us a pull request or contact [@dereknow](https://twitter.com/dereknow) or [@bin-yang-algotune](https://twitter.com/b3yang) or join us in the gitter chat [here](https://gitter.im/financial-machine-learning/community)
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***
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___
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||||||
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Updated Repo Information including the creation date/last update date/number of stars etc can be found [here](https://github.com/firmai/financial-machine-learning/blob/master/raw_data/url_list.csv) <br>
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Repo list is updated weekly and status is shown on the badge
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___
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# Trading
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# Trading
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## Deep Learning ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/Deep-Learning))
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## Deep Learning ([Wiki](https://github.com/firmai/financial-machine-learning/wiki/Deep-Learning))
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- [Deep Learning](https://github.com/keon/deepstock) - Technical experimentations to beat the stock market using deep learning.
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- [Deep Learning](https://github.com/keon/deepstock) - Technical experimentations to beat the stock market using deep learning.
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+16
-4
@@ -7,10 +7,23 @@ import pandas as pd
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from github import Github, Repository
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from github import Github, Repository
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def get_github_client():
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# search for app_client and client secrets first, since this allow higher api request limit
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github_app = os.environ.get('GIT_APP_ID')
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if github_app is None:
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github_token = os.environ.get('GIT_TOKEN')
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g = Github(github_token)
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else:
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github_app_secret = os.environ.get('GIT_APP_SECRET')
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g = Github(
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client_id=github_app,
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client_secret=github_app_secret)
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return g
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# generic search functions
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# generic search functions
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def search_repo(search_term: str, qualifier_dict: Dict):
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def search_repo(search_term: str, qualifier_dict: Dict):
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github_token = os.environ.get('GIT_TOKEN')
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g = get_github_client()
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g = Github(github_token)
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qualifier_str = ' '.join(['{}:{}'.format(k, v) for k, v in iter(qualifier_dict.items())])
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qualifier_str = ' '.join(['{}:{}'.format(k, v) for k, v in iter(qualifier_dict.items())])
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if qualifier_str != '':
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if qualifier_str != '':
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final_search_term = '{} {}'.format(search_term, qualifier_str)
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final_search_term = '{} {}'.format(search_term, qualifier_str)
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@@ -155,8 +168,7 @@ def get_repo_attributes_dict(input_repo: Repository, last_commit_within_years: i
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def get_repo_status():
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def get_repo_status():
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github_token = os.environ.get('GIT_TOKEN')
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g = get_github_client()
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g = Github(github_token)
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repo_df = get_repo_list()
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repo_df = get_repo_list()
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for idx, row in repo_df.iterrows():
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for idx, row in repo_df.iterrows():
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repo_path = row['repo_path']
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repo_path = row['repo_path']
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+149
-131
@@ -1,147 +1,165 @@
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name,url,comment,category,last_update,star_count,fork_count,contributors_count,created_at,last_commit,repo_path,repo_status
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name,url,comment,category,last_update,star_count,fork_count,contributors_count,created_at,last_commit,repo_path,repo_status
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Venture Capital NN,https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring,Cox-PH neural network predictions for VC/innovations finance research.,Alternative Finance,,,,,,,tr7200/National-Culture-and-Venture-Capital-Monitoring,
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Venture Capital NN,https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring,Cox-PH neural network predictions for VC/innovations finance research.,Alternative Finance,,,,,,,tr7200/National-Culture-and-Venture-Capital-Monitoring,
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Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,2020-11-26 03:34:45,8.0,6.0,2.0,2016-01-27 21:13:33,2016-03-14 20:03:52,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive
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Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,11/26/20 3:34,8,6,2,1/27/16 21:13,3/14/16 20:03,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive
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VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,2020-10-06 20:56:14,2.0,1.0,1.0,2018-03-29 23:31:13,2018-03-29 23:33:19,fionawhitefield/venture-capital-ols,inactive
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VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,10/6/20 20:56,2,1,1,3/29/18 23:31,3/29/18 23:33,fionawhitefield/venture-capital-ols,inactive
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Watch Valuation,https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb,Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.,Alternative Finance,2021-01-14 22:41:08,4.0,2.0,1.0,2017-02-08 18:39:29,2017-04-27 22:55:55,alporter08/Luxury-Watch-Valuation,inactive
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Watch Valuation,https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb,Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.,Alternative Finance,1/14/21 22:41,4,2,1,2/8/17 18:39,4/27/17 22:55,alporter08/Luxury-Watch-Valuation,inactive
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Art Valuation,https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb,Art evaluation analytics.,Alternative Finance,2021-02-26 12:10:53,9.0,5.0,1.0,2014-12-11 00:25:39,2014-12-12 21:25:46,ahmedhosny/theGreenCanvas,inactive
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Art Valuation,https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb,Art evaluation analytics.,Alternative Finance,2/26/21 12:10,9,5,1,12/11/14 0:25,12/12/14 21:25,ahmedhosny/theGreenCanvas,inactive
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Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2021-02-06 07:38:28,12.0,7.0,2.0,2016-09-05 19:12:40,2017-04-24 10:48:56,nud3l/dInvest,inactive
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Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2/6/21 7:38,12,7,2,9/5/16 19:12,4/24/17 10:48,nud3l/dInvest,inactive
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Venture Capital,https://github.com/julian-chan/etothex,Insight into a new founder to make data-driven investment decisions.,Alternative Finance,2020-10-06 20:56:08,3.0,2.0,1.0,2017-12-04 08:59:44,2017-12-13 05:35:27,julian-chan/etothex,inactive
|
Venture Capital,https://github.com/julian-chan/etothex,Insight into a new founder to make data-driven investment decisions.,Alternative Finance,10/6/20 20:56,3,2,1,12/4/17 8:59,12/13/17 5:35,julian-chan/etothex,inactive
|
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Kiva Crowdfunding,https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb,Exploratory data analysis.,Alternative Finance,2021-02-19 13:40:33,5.0,1.0,1.0,2018-02-27 16:46:02,2019-02-13 00:15:27,CJL89/Kiva-Crowdfunding,inactive
|
Kiva Crowdfunding,https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb,Exploratory data analysis.,Alternative Finance,2/19/21 13:40,5,1,1,2/27/18 16:46,2/13/19 0:15,CJL89/Kiva-Crowdfunding,inactive
|
||||||
Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,"Colleges, Centers and Departments",,,,,,,,
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NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University","Colleges, Centers and Departments",,,,,,,,
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Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,"Colleges, Centers and Departments",,,,,,,,
|
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Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,"Colleges, Centers and Departments",,,,,,,,
|
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Cornell University,https://www.cornell.edu/,,"Colleges, Centers and Departments",,,,,,,,
|
|
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NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),"Colleges, Centers and Departments",,,,,,,,
|
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),"Colleges, Centers and Departments",,,,,,,,
|
||||||
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,2021-03-31 02:08:49,33.0,31.0,1.0,2019-01-24 02:55:01,2020-01-03 21:54:16,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active
|
Cornell University,https://www.cornell.edu/,,"Colleges, Centers and Departments",,,,,,,,
|
||||||
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,2020-11-12 00:49:51,6.0,5.0,3.0,2018-10-03 16:26:14,2018-12-13 08:04:15,andrey-lukyanov/Risk-Management,inactive
|
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,"Colleges, Centers and Departments",,,,,,,,
|
||||||
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,2021-03-23 06:32:10,9.0,5.0,1.0,2017-08-02 21:52:19,2017-08-17 03:24:53,SeanMcOwen/FinanceAndPython.com-Investments,inactive
|
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University","Colleges, Centers and Departments",,,,,,,,
|
||||||
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,2021-03-26 22:26:32,120.0,107.0,3.0,2018-08-20 14:10:37,2021-01-15 08:57:06,PacktPublishing/Hands-on-Python-for-Finance,active
|
Berkeley Lab CIFT,https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/,,"Colleges, Centers and Departments",,,,,,,,
|
||||||
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,2021-03-31 02:09:16,10.0,8.0,1.0,2017-05-06 02:39:05,2017-06-21 04:04:09,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive
|
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,"Colleges, Centers and Departments",,,,,,,,
|
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Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,2021-03-31 02:08:55,16.0,15.0,4.0,2017-12-12 11:54:46,2020-02-25 20:31:41,siaen/python_finance_course,active
|
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,3/12/21 11:02,64,25,1,10/29/17 20:34,1/22/19 6:56,JCreeks/Machine-Learning-in-Finance,inactive
|
||||||
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,2021-03-12 11:02:04,64.0,25.0,1.0,2017-10-29 20:34:54,2019-01-22 06:56:08,JCreeks/Machine-Learning-in-Finance,inactive
|
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,3/31/21 2:08,4,4,1,8/24/17 0:11,10/13/17 1:32,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive
|
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Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,2021-01-14 18:01:08,69.0,63.0,6.0,2015-01-25 21:10:37,2020-03-25 04:24:25,yadongli/nyumath2048,active
|
Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,3/31/21 11:07,3663,1145,7,5/9/18 12:33,3/19/21 14:10,stefan-jansen/machine-learning-for-trading,active
|
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Machine Learning for Trading,https://github.com/stefan-jansen/machine-learning-for-trading,"Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.",Courses,2021-03-31 11:07:56,3663.0,1145.0,7.0,2018-05-09 12:33:08,2021-03-19 14:10:47,stefan-jansen/machine-learning-for-trading,active
|
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,1/14/21 18:01,69,63,6,1/25/15 21:10,3/25/20 4:24,yadongli/nyumath2048,active
|
||||||
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,2021-03-31 02:08:39,4.0,4.0,1.0,2017-08-24 00:11:37,2017-10-13 01:32:23,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive
|
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,3/31/21 2:08,16,15,4,12/12/17 11:54,2/25/20 20:31,siaen/python_finance_course,active
|
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EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,2021-01-23 19:22:59,11.0,10.0,1.0,2018-06-11 22:51:57,2018-07-10 18:03:52,TiesdeKok/UW_Python_Camp,inactive
|
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,11/12/20 0:49,6,5,3,10/3/18 16:26,12/13/18 8:04,andrey-lukyanov/Risk-Management,inactive
|
||||||
Open Edgar,https://github.com/LexPredict/openedgar,,Data,2021-03-31 06:16:26,166.0,61.0,6.0,2018-05-07 15:32:31,2019-05-15 08:32:30,LexPredict/openedgar,active
|
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,3/26/21 22:26,120,107,3,8/20/18 14:10,1/15/21 8:57,PacktPublishing/Hands-on-Python-for-Finance,active
|
||||||
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2/27/21 6:34,9.0,6.0,1.0,6/16/18 14:30,6/16/18 17:23,healthgradient/sec-doc-info-extraction,
|
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,3/23/21 6:32,9,5,1,8/2/17 21:52,8/17/17 3:24,SeanMcOwen/FinanceAndPython.com-Investments,inactive
|
||||||
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,3/28/21 12:43,576.0,183.0,2.0,2/19/19 19:02,7/22/20 16:48,firmai/business-machine-learning,
|
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,3/31/21 2:08,33,31,1,1/24/19 2:55,1/3/20 21:54,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active
|
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|
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,3/31/21 2:09,10,8,1,5/6/17 2:39,6/21/17 4:04,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive
|
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https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,
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Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,
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https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,3/26/21 22:35,7,6,1,5/10/17 21:49,8/6/17 19:23,timestocome/StockMarketData,
|
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https://stooq.com,https://stooq.com,,Data,,,,,,,,
|
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http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,
|
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|
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,
|
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|
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,
|
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Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,
|
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,
|
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IRS,http://social-metrics.org/sox/,,Data,,,,,,,,
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IRS,http://social-metrics.org/sox/,,Data,,,,,,,,
|
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Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2/27/21 3:33,10.0,2.0,1.0,6/26/18 23:33,8/14/18 1:31,healthgradient/sec_employee_information_extraction,
|
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,3/28/21 12:43,576,183,2,2/19/19 19:02,7/22/20 16:48,firmai/business-machine-learning,
|
||||||
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,
|
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2/27/21 6:34,9,6,1,6/16/18 14:30,6/16/18 17:23,healthgradient/sec-doc-info-extraction,
|
||||||
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,
|
Open Edgar,https://github.com/LexPredict/openedgar,,Data,3/31/21 6:16,166,61,6,5/7/18 15:32,5/15/19 8:32,LexPredict/openedgar,active
|
||||||
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,
|
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,1/23/21 19:22,11,10,1,6/11/18 22:51,7/10/18 18:03,TiesdeKok/UW_Python_Camp,inactive
|
||||||
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,
|
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2/27/21 3:33,10,2,1,6/26/18 23:33,8/14/18 1:31,healthgradient/sec_employee_information_extraction,
|
||||||
https://stooq.com,https://stooq.com,,Data,,,,,,,,
|
|
||||||
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,3/26/21 22:35,7.0,6.0,1.0,5/10/17 21:49,8/6/17 19:23,timestocome/StockMarketData,
|
|
||||||
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,
|
|
||||||
Advanced ML II,https://github.com/hudson-and-thames/research,More implementations of Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,,,,,,,hudson-and-thames/research,
|
Advanced ML II,https://github.com/hudson-and-thames/research,More implementations of Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,,,,,,,hudson-and-thames/research,
|
||||||
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises too Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,3/30/21 21:50,958.0,434.0,4.0,4/25/18 17:22,1/16/20 17:25,BlackArbsCEO/Adv_Fin_ML_Exercises,
|
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises too Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,3/30/21 21:50,958,434,4,4/25/18 17:22,1/16/20 17:25,BlackArbsCEO/Adv_Fin_ML_Exercises,
|
||||||
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning,3/24/21 14:45,427.0,154.0,2.0,12/12/16 2:15,3/4/17 8:37,keon/deepstock,
|
awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,NEW,Deep Learning,3/31/21 6:59,528,135,1,11/26/18 3:23,1/1/21 9:41,cbailes/awesome-deep-trading,active
|
||||||
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning,3/21/21 6:53,174.0,68.0,1.0,7/12/16 12:56,2/16/18 2:43,LiamConnell/deep-algotrading,
|
trading-bot,https://github.com/pskrunner14/trading-bot,NEW,Deep Learning,3/31/21 9:46,285,137,1,8/13/18 10:44,1/23/20 4:41,pskrunner14/trading-bot,active
|
||||||
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning,3/26/21 6:28,1262.0,675.0,1.0,6/18/16 18:23,8/7/18 15:24,Rachnog/Deep-Trading,
|
Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,NEW,Deep Learning,3/30/21 7:29,319,158,2,2/16/19 21:18,11/29/20 20:12,Rachnog/Advanced-Deep-Trading,active
|
||||||
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning,3/28/21 15:58,1448.0,416.0,1.0,3/9/17 6:11,3/19/17 7:42,achillesrasquinha/bulbea,
|
deep-RL-trading,https://github.com/golsun/deep-RL-trading,NEW,Deep Learning,3/25/21 17:52,231,109,1,2/25/18 17:41,12/1/20 22:06,golsun/deep-RL-trading,active
|
||||||
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning,3/29/21 14:35,2852.0,1379.0,1.0,1/9/19 8:02,2/11/19 16:32,borisbanushev/stockpredictionai,
|
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,NEW,Deep Learning,3/31/21 15:40,1780,423,22,7/26/20 13:18,3/28/21 13:46,AI4Finance-LLC/FinRL-Library,active
|
||||||
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning,3/30/21 18:13,488.0,177.0,2.0,9/10/18 6:34,11/21/18 7:39,VivekPa/IntroNeuralNetworks,
|
RLTrader,https://github.com/notadamking/RLTrader,NEW,Deep Learning,3/30/21 14:02,1300,448,15,4/27/19 18:35,10/17/19 16:25,notadamking/RLTrader,active
|
||||||
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,3/16/21 4:35,218.0,83.0,1.0,8/5/18 2:13,10/1/18 11:25,imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,
|
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,NEW,Deep Learning,3/31/21 15:40,542,238,6,7/26/20 13:12,1/21/21 18:11,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active
|
||||||
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning,3/30/21 3:12,1198.0,370.0,2.0,10/7/18 3:58,8/3/19 9:00,VivekPa/AIAlpha,
|
BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,NEW,Deep Learning,3/29/21 5:38,287,127,3,3/10/17 10:52,6/11/18 8:07,PiSimo/BitcoinForecast,inactive
|
||||||
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning,3/29/21 23:59,11.0,6.0,1.0,5/13/18 2:39,2/25/19 0:26,RajatHanda/Finance-Forecasting,
|
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,NEW,Deep Learning,3/24/21 1:11,134,51,2,2/23/19 12:01,2/25/20 18:16,sachink2010/AutomatedStockTrading-DeepQ-Learning,active
|
||||||
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,10/6/20 20:37,4.0,6.0,1.0,6/6/18 22:06,6/6/18 22:27,rstreppa/valuation-callables-HullWhite,
|
Personae,https://github.com/Ceruleanacg/Personae,NEW,Deep Learning,3/31/21 15:38,1142,332,2,3/10/18 11:22,9/2/18 17:21,Ceruleanacg/Personae,inactive
|
||||||
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,10/6/20 20:37,1.0,3.0,1.0,5/18/18 18:08,9/21/18 19:59,rstreppa/valuation-convertibles-Goldman1994,
|
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,NEW,Deep Learning,3/30/21 17:57,140,40,2,5/19/19 22:20,9/27/20 19:22,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active
|
||||||
Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2/27/21 8:50,2.0,3.0,1.0,5/22/18 18:27,5/22/18 18:30,rstreppa/valuation-OptionStrategies,
|
Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,NEW,Deep Learning,3/25/21 17:56,251,93,1,9/29/18 23:38,3/18/21 3:16,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active
|
||||||
|
trading-rl,https://github.com/Kostis-S-Z/trading-rl,NEW,Deep Learning,3/31/21 16:01,179,38,2,4/22/19 10:03,9/28/20 9:07,Kostis-S-Z/trading-rl,active
|
||||||
|
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,NEW,Deep Learning,3/31/21 15:40,134,49,4,9/19/18 3:17,11/26/20 16:58,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active
|
||||||
|
Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,NEW,Deep Learning,3/31/21 8:38,3584,1520,2,12/18/17 10:49,1/5/21 10:31,huseinzol05/Stock-Prediction-Models,active
|
||||||
|
Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,NEW,Deep Learning,3/31/21 10:40,137,66,1,5/11/18 0:52,10/26/19 14:22,saeed349/Deep-Reinforcement-Learning-in-Trading,active
|
||||||
|
crypto-rl,https://github.com/sadighian/crypto-rl,NEW,Deep Learning,3/29/21 21:17,339,110,1,6/21/18 1:06,11/5/20 11:08,sadighian/crypto-rl,active
|
||||||
|
DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,NEW,Deep Learning,3/8/21 13:09,266,145,1,8/21/17 16:00,8/21/17 17:23,sonaam1234/DeepLearningInFinance,inactive
|
||||||
|
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning,3/29/21 23:59,11,6,1,5/13/18 2:39,2/25/19 0:26,RajatHanda/Finance-Forecasting,active
|
||||||
|
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning,3/24/21 14:45,427,154,2,12/12/16 2:15,3/4/17 8:37,keon/deepstock,inactive
|
||||||
|
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning,3/21/21 6:53,174,68,1,7/12/16 12:56,2/16/18 2:43,LiamConnell/deep-algotrading,inactive
|
||||||
|
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning,3/26/21 6:28,1262,675,1,6/18/16 18:23,8/7/18 15:24,Rachnog/Deep-Trading,inactive
|
||||||
|
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning,3/28/21 15:58,1448,416,1,3/9/17 6:11,3/19/17 7:42,achillesrasquinha/bulbea,active
|
||||||
|
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning,3/29/21 14:35,2852,1379,1,1/9/19 8:02,2/11/19 16:32,borisbanushev/stockpredictionai,inactive
|
||||||
|
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning,3/30/21 18:13,488,177,2,9/10/18 6:34,11/21/18 7:39,VivekPa/IntroNeuralNetworks,inactive
|
||||||
|
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,3/16/21 4:35,218,83,1,8/5/18 2:13,10/1/18 11:25,imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,active
|
||||||
|
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning,3/30/21 3:12,1198,370,2,10/7/18 3:58,8/3/19 9:00,VivekPa/AIAlpha,
|
||||||
|
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,1/12/21 12:22,17,12,1,1/29/18 5:01,8/2/18 5:56,chenbowen184/Computational_Finance,
|
||||||
|
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2/27/21 8:48,3,2,1,3/2/18 23:53,7/17/18 23:32,RobinsonGarcia/delta-hedging,
|
||||||
|
Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,10/6/20 20:37,1,2,1,4/29/16 3:51,1/16/18 1:24,wanglouis49/risk_estimation,
|
||||||
|
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,3/23/21 15:35,387,297,1,7/9/15 12:27,2/22/21 13:29,yhilpisch/dawp,
|
||||||
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,
|
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,
|
||||||
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,3/23/21 15:35,387.0,297.0,1.0,7/9/15 12:27,2/22/21 13:29,yhilpisch/dawp,
|
Option Strategies,https://github.com/rstreppa/valuation-OptionStrategies,"Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.",Derivatives and Hedging,2/27/21 8:50,2,3,1,5/22/18 18:27,5/22/18 18:30,rstreppa/valuation-OptionStrategies,
|
||||||
Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,10/6/20 20:37,1.0,2.0,1.0,4/29/16 3:51,1/16/18 1:24,wanglouis49/risk_estimation,
|
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,10/6/20 20:36,1,2,0,12/9/17 18:50,7/9/18 9:48,irajwani/numerical_methods_python,
|
||||||
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2/27/21 8:48,3.0,2.0,1.0,3/2/18 23:53,7/17/18 23:32,RobinsonGarcia/delta-hedging,
|
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,10/6/20 20:37,4,6,1,6/6/18 22:06,6/6/18 22:27,rstreppa/valuation-callables-HullWhite,
|
||||||
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,1/20/21 8:12,16.0,9.0,1.0,4/21/17 10:58,8/2/17 21:41,FinTechies/HedgingRL,
|
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,1/20/21 8:12,16,9,1,4/21/17 10:58,8/2/17 21:41,FinTechies/HedgingRL,
|
||||||
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,1/12/21 12:22,17.0,12.0,1.0,1/29/18 5:01,8/2/18 5:56,chenbowen184/Computational_Finance,
|
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,3/23/21 12:10,78,77,1,10/21/16 4:12,2/22/21 13:32,yhilpisch/lvvd,
|
||||||
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,10/6/20 20:36,1.0,2.0,0.0,12/9/17 18:50,7/9/18 9:48,irajwani/numerical_methods_python,
|
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,3/27/21 22:51,328,164,36,7/28/17 15:48,3/17/21 17:17,QuantConnect/Tutorials,
|
||||||
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,3/18/21 3:47,8.0,8.0,1.0,2/9/16 5:30,3/18/21 3:47,broughtj/Fin6470,
|
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,3/18/21 3:47,8,8,1,2/9/16 5:30,3/18/21 3:47,broughtj/Fin6470,
|
||||||
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,3/27/21 22:51,328.0,164.0,36.0,7/28/17 15:48,3/17/21 17:17,QuantConnect/Tutorials,
|
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,10/6/20 20:37,1,3,1,5/18/18 18:08,9/21/18 19:59,rstreppa/valuation-convertibles-Goldman1994,
|
||||||
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,3/23/21 12:10,78.0,77.0,1.0,10/21/16 4:12,2/22/21 13:32,yhilpisch/lvvd,
|
|
||||||
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,3/29/21 8:31,709.0,273.0,2.0,11/9/14 4:49,12/3/18 16:30,rsvp/fecon235,
|
|
||||||
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,11/28/20 3:02,25.0,6.0,0.0,1/4/19 12:30,2/18/19 9:55,AlexIoannides/pymc-stochastic-process,
|
|
||||||
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,10/26/20 0:55,3.0,1.0,1.0,3/12/19 21:11,3/12/19 22:09,shanemulqueen/python-finance-pca,
|
|
||||||
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,3/30/21 2:32,613.0,162.0,3.0,9/16/18 20:00,9/5/20 13:01,AlgoTraders/stock-analysis-engine,
|
|
||||||
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,3/22/21 2:19,24.0,17.0,2.0,7/6/16 20:32,6/9/18 10:53,cswaney/prickle,
|
|
||||||
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,1/30/21 11:50,10.0,3.0,1.0,1/22/19 10:59,3/12/19 18:35,ryanholbrook/critical-transitions,
|
|
||||||
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,3/30/21 0:09,31.0,15.0,1.0,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,
|
|
||||||
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2/19/21 13:40,8.0,9.0,1.0,1/29/18 5:14,7/19/18 6:25,chenbowen184/Data_Science_in_Applied_Corporate_Finance,
|
|
||||||
M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,12/21/20 14:42,3.0,3.0,1.0,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,
|
|
||||||
Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,12/21/20 14:42,3.0,3.0,1.0,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,
|
|
||||||
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,3/7/21 17:47,12.0,13.0,1.0,8/27/17 3:46,8/26/17 4:26,lnsongxf/Applied_Computational_Economics_and_Finance,
|
|
||||||
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,3/25/21 18:38,229.0,53.0,1.0,8/28/18 14:45,8/6/20 22:03,marketneutral/alphatools,
|
|
||||||
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,1/16/21 19:01,9.0,4.0,1.0,9/9/17 3:35,9/9/17 23:04,SeanMcOwen/FinanceAndPython.com-CorporateFinance,
|
|
||||||
Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2/3/21 7:22,9.0,4.0,1.0,12/20/18 0:21,3/26/19 11:51,pcmichaud/notebooks,
|
|
||||||
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,10/6/20 21:01,2.0,3.0,1.0,5/25/17 2:27,6/30/17 3:53,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,
|
|
||||||
Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,3/28/21 2:22,17.0,7.0,3.0,8/2/18 2:48,3/16/19 18:39,AvijitGhosh82/Finance_Graph_Theory,
|
|
||||||
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,
|
|
||||||
Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,10/6/20 21:01,1.0,3.0,1.0,1/24/19 13:37,2/13/19 16:48,sarachmax/MarketCrashes_Prediction,
|
|
||||||
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,1/12/21 12:22,17.0,12.0,1.0,1/29/18 5:01,8/2/18 5:56,chenbowen184/Computational_Finance,
|
|
||||||
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2/27/21 6:33,8.0,9.0,1.0,10/11/18 20:32,12/24/18 23:27,chenbowen184/Research_Documents_Curation_with_NLP,
|
|
||||||
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,3/29/21 10:26,661.0,426.0,9.0,1/21/17 11:24,8/1/20 17:03,Auquan/Tutorials,
|
|
||||||
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,1/12/21 11:48,27.0,20.0,2.0,5/8/18 19:34,5/9/18 15:39,DLColumbia/DL_forFinance,
|
|
||||||
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,3/29/21 17:04,742.0,331.0,1.0,7/21/16 5:14,2/14/17 16:47,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,
|
|
||||||
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,
|
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,
|
||||||
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,3/30/21 6:28,1835.0,691.0,17.0,6/3/16 21:49,4/27/20 18:40,quantopian/alphalens,
|
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,3/29/21 17:04,742,331,1,7/21/16 5:14,2/14/17 16:47,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,
|
||||||
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,3/27/21 13:15,1294.0,791.0,1.0,12/15/14 11:23,7/10/18 6:38,yhilpisch/py4fi,
|
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,1/12/21 11:48,27,20,2,5/8/18 19:34,5/9/18 15:39,DLColumbia/DL_forFinance,
|
||||||
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,10/6/20 20:29,9.0,9.0,1.0,11/15/16 19:24,1/14/17 21:19,willb/var-notebook,
|
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2/27/21 6:33,8,9,1,10/11/18 20:32,12/24/18 23:27,chenbowen184/Research_Documents_Curation_with_NLP,
|
||||||
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,3/20/21 21:53,41.0,28.0,1.0,8/6/18 16:09,11/22/20 19:02,hamaadshah/market_risk_gan_keras,
|
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,1/12/21 12:22,17,12,1,1/29/18 5:01,8/2/18 5:56,chenbowen184/Computational_Finance,
|
||||||
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,3/30/21 15:14,3633.0,1143.0,42.0,6/1/15 15:31,2/28/20 17:30,quantopian/pyfolio,
|
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,
|
||||||
Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,3/1/21 13:53,31.0,18.0,1.0,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,
|
Bayesian Finance I,https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb,Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.,Extended Research,11/28/20 3:02,25,6,0,1/4/19 12:30,2/18/19 9:55,AlexIoannides/pymc-stochastic-process,
|
||||||
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,3/30/21 0:09,31.0,15.0,1.0,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,
|
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,10/26/20 0:55,3,1,1,3/12/19 21:11,3/12/19 22:09,shanemulqueen/python-finance-pca,
|
||||||
Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,11/4/20 7:04,4.0,5.0,1.0,8/7/17 14:44,8/8/17 22:52,Jorgencr/Alternative-and-Responsible-Investments,
|
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,3/30/21 2:32,613,162,3,9/16/18 20:00,9/5/20 13:01,AlgoTraders/stock-analysis-engine,
|
||||||
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,3/1/21 13:53,31.0,18.0,1.0,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,
|
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,3/22/21 2:19,24,17,2,7/6/16 20:32,6/9/18 10:53,cswaney/prickle,
|
||||||
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,3/19/21 22:01,139.0,61.0,2.0,9/12/17 13:35,8/6/20 12:35,PyDataBlog/Python-for-Data-Science,
|
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,1/30/21 11:50,10,3,1,1/22/19 10:59,3/12/19 18:35,ryanholbrook/critical-transitions,
|
||||||
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,12/21/20 14:26,3.0,4.0,1.0,3/13/18 7:39,3/13/18 7:42,garvit-kudesia91/factor_analysis,
|
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,3/30/21 0:09,31,15,1,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,
|
||||||
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,3/12/21 22:42,171.0,59.0,3.0,5/1/17 7:36,2/9/21 9:36,alpha-miner/alpha-mind,
|
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2/19/21 13:40,8,9,1,1/29/18 5:14,7/19/18 6:25,chenbowen184/Data_Science_in_Applied_Corporate_Finance,
|
||||||
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,3/30/21 0:09,21.0,16.0,1.0,10/4/15 9:10,3/28/20 18:33,mrefermat/FinancePhD,
|
M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,12/21/20 14:42,3,3,1,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,
|
||||||
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,11/4/20 7:19,17.0,9.0,1.0,6/26/18 20:36,10/22/19 21:56,ssanderson/convex-optimization-for-finance,
|
Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,12/21/20 14:42,3,3,1,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,
|
||||||
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,12/10/20 21:20,3.0,3.0,1.0,7/18/18 19:26,7/18/18 19:34,RobinsonGarcia/fixed-income,
|
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,3/7/21 17:47,12,13,1,8/27/17 3:46,8/26/17 4:26,lnsongxf/Applied_Computational_Economics_and_Finance,
|
||||||
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,10/6/20 20:55,1.0,2.0,1.0,2/2/19 8:44,5/3/19 17:16,hy-lei/math-finance-exercise,
|
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,3/25/21 18:38,229,53,1,8/28/18 14:45,8/6/20 22:03,marketneutral/alphatools,
|
||||||
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,1/3/21 21:46,7.0,5.0,1.0,9/27/17 19:57,9/27/17 20:00,ishank011/gs-quantify-bond-prediction,
|
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,1/16/21 19:01,9,4,1,9/9/17 3:35,9/9/17 23:04,SeanMcOwen/FinanceAndPython.com-CorporateFinance,
|
||||||
|
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,3/29/21 10:26,661,426,9,1/21/17 11:24,8/1/20 17:03,Auquan/Tutorials,
|
||||||
|
Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2/3/21 7:22,9,4,1,12/20/18 0:21,3/26/19 11:51,pcmichaud/notebooks,
|
||||||
|
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,3/29/21 8:31,709,273,2,11/9/14 4:49,12/3/18 16:30,rsvp/fecon235,
|
||||||
|
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,10/6/20 21:01,2,3,1,5/25/17 2:27,6/30/17 3:53,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,
|
||||||
|
Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,3/28/21 2:22,17,7,3,8/2/18 2:48,3/16/19 18:39,AvijitGhosh82/Finance_Graph_Theory,
|
||||||
|
Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,10/6/20 21:01,1,3,1,1/24/19 13:37,2/13/19 16:48,sarachmax/MarketCrashes_Prediction,
|
||||||
|
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,3/19/21 22:01,139,61,2,9/12/17 13:35,8/6/20 12:35,PyDataBlog/Python-for-Data-Science,
|
||||||
|
Risk Basic,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb,Active portfolio risk management .,Factor and Risk Analysis,3/1/21 13:53,31,18,1,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,
|
||||||
|
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,3/30/21 0:09,31,15,1,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,
|
||||||
|
Various Risk Measures,https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb,Risk measures and factors for alternative and responsible investments.,Factor and Risk Analysis,11/4/20 7:04,4,5,1,8/7/17 14:44,8/8/17 22:52,Jorgencr/Alternative-and-Responsible-Investments,
|
||||||
|
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,3/1/21 13:53,31,18,1,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,
|
||||||
|
Factor Analysis,https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb,Factor analysis for mutual funds.,Factor and Risk Analysis,12/21/20 14:26,3,4,1,3/13/18 7:39,3/13/18 7:42,garvit-kudesia91/factor_analysis,
|
||||||
|
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,3/12/21 22:42,171,59,3,5/1/17 7:36,2/9/21 9:36,alpha-miner/alpha-mind,
|
||||||
|
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,3/30/21 0:09,21,16,1,10/4/15 9:10,3/28/20 18:33,mrefermat/FinancePhD,
|
||||||
|
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,11/4/20 7:19,17,9,1,6/26/18 20:36,10/22/19 21:56,ssanderson/convex-optimization-for-finance,
|
||||||
|
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,10/6/20 20:29,9,9,1,11/15/16 19:24,1/14/17 21:19,willb/var-notebook,
|
||||||
|
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,3/27/21 13:15,1294,791,1,12/15/14 11:23,7/10/18 6:38,yhilpisch/py4fi,
|
||||||
|
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,3/30/21 6:28,1835,691,17,6/3/16 21:49,4/27/20 18:40,quantopian/alphalens,
|
||||||
|
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,3/30/21 15:14,3633,1143,42,6/1/15 15:31,2/28/20 17:30,quantopian/pyfolio,
|
||||||
|
VaR GaN,https://github.com/hamaadshah/market_risk_gan_keras,Estimate Value-at-Risk for market risk management using Keras and TensorFlow.,Factor and Risk Analysis,3/20/21 21:53,41,28,1,8/6/18 16:09,11/22/20 19:02,hamaadshah/market_risk_gan_keras,
|
||||||
|
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,12/10/20 21:20,3,3,1,7/18/18 19:26,7/18/18 19:34,RobinsonGarcia/fixed-income,
|
||||||
|
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,1/3/21 21:46,7,5,1,9/27/17 19:57,9/27/17 20:00,ishank011/gs-quantify-bond-prediction,
|
||||||
|
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,10/6/20 20:55,1,2,1,2/2/19 8:44,5/3/19 17:16,hy-lei/math-finance-exercise,
|
||||||
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,
|
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,
|
||||||
Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts.,Other Models,3/21/21 19:26,379.0,126.0,1.0,7/22/18 8:14,2/17/21 14:39,Hvass-Labs/FinanceOps,
|
Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms.,Other Models,3/2/21 19:44,31,31,1,3/20/17 18:54,4/25/17 23:35,BlackArbsCEO/Mixture_Models,
|
||||||
Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement.,Other Models,3/28/21 16:31,2157.0,678.0,1.0,9/12/16 18:38,8/29/18 20:27,anfederico/Clairvoyant,
|
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,3/12/21 13:21,166,73,1,12/11/17 17:05,5/13/20 23:50,BlackArbsCEO/mixture_model_trading_public,
|
||||||
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,3/12/21 13:21,166.0,73.0,1.0,12/11/17 17:05,5/13/20 23:50,BlackArbsCEO/mixture_model_trading_public,
|
Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts.,Other Models,3/21/21 19:26,379,126,1,7/22/18 8:14,2/17/21 14:39,Hvass-Labs/FinanceOps,
|
||||||
Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms.,Other Models,3/2/21 19:44,31.0,31.0,1.0,3/20/17 18:54,4/25/17 23:35,BlackArbsCEO/Mixture_Models,
|
Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,Using python and scikit-learn to make stock predictions.,Other Models,3/30/21 18:11,919,344,2,2/12/17 4:50,2/4/21 3:48,robertmartin8/MachineLearningStocks,
|
||||||
Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,Using python and scikit-learn to make stock predictions.,Other Models,3/30/21 18:11,919.0,344.0,2.0,2/12/17 4:50,2/4/21 3:48,robertmartin8/MachineLearningStocks,
|
Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement.,Other Models,3/28/21 16:31,2157,678,1,9/12/16 18:38,8/29/18 20:27,anfederico/Clairvoyant,
|
||||||
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,
|
|
||||||
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,
|
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,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,,,,,,,,
|
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,
|
||||||
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,
|
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,
|
||||||
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,3/18/21 22:35,229.0,82.0,3.0,11/16/18 12:20,7/4/19 1:41,VivekPa/OptimalPortfolio,
|
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,3/30/21 3:37,1865,476,16,5/29/18 13:30,2/25/21 13:01,robertmartin8/PyPortfolioOpt,
|
||||||
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,3/29/21 3:47,364.0,150.0,1.0,10/7/17 9:14,6/26/18 9:22,filangel/qtrader,
|
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,3/30/21 13:34,303,57,2,2/2/20 8:46,2/16/21 18:50,jankrepl/deepdow,
|
||||||
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,3/30/21 0:01,104.0,57.0,1.0,2/17/18 8:19,2/27/18 13:16,tthustla/efficient_frontier,
|
|
||||||
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,1/30/21 13:50,104.0,58.0,1.0,2/10/17 9:03,3/8/18 16:47,tcloaa/Deep-Portfolio-Theory,
|
|
||||||
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,3/30/21 14:21,1274.0,629.0,6.0,11/12/17 16:08,5/9/19 9:50,ZhengyaoJiang/PGPortfolio,
|
|
||||||
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,12/25/20 9:39,14.0,5.0,1.0,8/1/18 19:48,9/5/19 11:18,otosman/Python-for-Finance,
|
|
||||||
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,,,,,,,,
|
|
||||||
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,12/16/20 17:28,6.0,3.0,1.0,7/26/16 16:20,12/30/16 11:40,charlessutton/OLMAR,
|
|
||||||
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,,,,,,,,
|
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,,,,,,,,
|
||||||
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,3/30/21 13:34,303.0,57.0,2.0,2/2/20 8:46,2/16/21 18:50,jankrepl/deepdow,
|
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,12/16/20 17:28,6,3,1,7/26/16 16:20,12/30/16 11:40,charlessutton/OLMAR,
|
||||||
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,3/30/21 3:37,1865.0,476.0,16.0,5/29/18 13:30,2/25/21 13:01,robertmartin8/PyPortfolioOpt,
|
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,,,,,,,,
|
||||||
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.,Reinforcement Learning,3/27/21 2:19,241.0,114.0,1.0,5/18/17 16:47,5/18/17 16:56,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,
|
401K Portfolio Optimisation,https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb,Portfolio analyses and optimisation for 401K.,Portfolio Selection and Optimisation,12/25/20 9:39,14,5,1,8/1/18 19:48,9/5/19 11:18,otosman/Python-for-Finance,
|
||||||
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Reinforcement Learning,3/29/21 11:10,1340.0,490.0,3.0,6/11/16 7:27,1/22/18 14:35,deependersingla/deep_trader,
|
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,3/30/21 14:21,1274,629,6,11/12/17 16:08,5/9/19 9:50,ZhengyaoJiang/PGPortfolio,
|
||||||
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Reinforcement Learning,3/28/21 22:14,712.0,299.0,1.0,10/4/16 14:42,12/23/16 7:34,kh-kim/stock_market_reinforcement_learning,
|
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,1/30/21 13:50,104,58,1,2/10/17 9:03,3/8/18 16:47,tcloaa/Deep-Portfolio-Theory,
|
||||||
|
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,3/30/21 0:01,104,57,1,2/17/18 8:19,2/27/18 13:16,tthustla/efficient_frontier,
|
||||||
|
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,3/29/21 3:47,364,150,1,10/7/17 9:14,6/26/18 9:22,filangel/qtrader,
|
||||||
|
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,3/18/21 22:35,229,82,3,11/16/18 12:20,7/4/19 1:41,VivekPa/OptimalPortfolio,
|
||||||
|
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.,Reinforcement Learning,3/27/21 2:19,241,114,1,5/18/17 16:47,5/18/17 16:56,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,
|
||||||
|
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Reinforcement Learning,3/29/21 11:10,1340,490,3,6/11/16 7:27,1/22/18 14:35,deependersingla/deep_trader,
|
||||||
|
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Reinforcement Learning,3/28/21 22:14,712,299,1,10/4/16 14:42,12/23/16 7:34,kh-kim/stock_market_reinforcement_learning,
|
||||||
|
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Reinforcement Learning,3/29/21 1:02,575,204,1,9/21/17 17:05,4/13/18 16:33,samre12/deep-trading-agent,
|
||||||
|
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Reinforcement Learning,3/25/21 19:14,140,55,1,10/21/16 2:47,4/7/17 8:11,jjakimoto/DQN,
|
||||||
|
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Reinforcement Learning,1/3/21 4:36,32,7,5,1/16/19 0:43,3/19/20 20:28,gstenger98/rl-finance,
|
||||||
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Reinforcement Learning,,,,,,,,
|
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Reinforcement Learning,,,,,,,,
|
||||||
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Reinforcement Learning,3/29/21 1:02,575.0,204.0,1.0,9/21/17 17:05,4/13/18 16:33,samre12/deep-trading-agent,
|
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,10/6/20 18:46,3,2,1,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,
|
||||||
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Reinforcement Learning,3/25/21 19:14,140.0,55.0,1.0,10/21/16 2:47,4/7/17 8:11,jjakimoto/DQN,
|
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,1/21/21 8:07,47,27,1,6/23/17 0:05,1/26/19 3:35,EricHe98/Financial-Statements-Text-Analysis,
|
||||||
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Reinforcement Learning,1/3/21 4:36,32.0,7.0,5.0,1/16/19 0:43,3/19/20 20:28,gstenger98/rl-finance,
|
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,3/24/21 2:52,68,31,1,7/2/18 23:50,1/31/19 14:08,yuriak/DLQuant,
|
||||||
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,1/21/21 8:07,47.0,27.0,1.0,6/23/17 0:05,1/26/19 3:35,EricHe98/Financial-Statements-Text-Analysis,
|
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,10/22/20 16:32,7,7,1,6/4/18 20:54,6/4/18 20:56,MAydogdu/TextualAnalysis,
|
||||||
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,3/24/21 2:52,68.0,31.0,1.0,7/2/18 23:50,1/31/19 14:08,yuriak/DLQuant,
|
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,3/21/21 7:39,73,42,1,10/25/17 7:10,6/5/20 3:28,TiesdeKok/Python_NLP_Tutorial,
|
||||||
|
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,3/30/21 3:25,106,50,2,5/24/17 12:36,8/7/19 21:47,GitiHubi/deepAI,
|
||||||
|
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,10/6/20 18:54,1,4,1,2/4/18 21:51,2/4/18 21:57,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,
|
||||||
|
Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,12/17/20 8:24,3,3,1,12/30/17 8:56,1/11/18 2:11,lin882/WebAnalyticsProject,
|
||||||
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,
|
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,
|
||||||
Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,12/17/20 8:24,3.0,3.0,1.0,12/30/17 8:56,1/11/18 2:11,lin882/WebAnalyticsProject,
|
|
||||||
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,10/6/20 18:54,1.0,4.0,1.0,2/4/18 21:51,2/4/18 21:57,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,
|
|
||||||
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,10/6/20 18:46,3.0,2.0,1.0,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,
|
|
||||||
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,3/30/21 3:25,106.0,50.0,2.0,5/24/17 12:36,8/7/19 21:47,GitiHubi/deepAI,
|
|
||||||
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,3/21/21 7:39,73.0,42.0,1.0,10/25/17 7:10,6/5/20 3:28,TiesdeKok/Python_NLP_Tutorial,
|
|
||||||
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,10/22/20 16:32,7.0,7.0,1.0,6/4/18 20:54,6/4/18 20:56,MAydogdu/TextualAnalysis,
|
|
||||||
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,10/20/20 11:05,32.0,12.0,1.0,6/21/17 4:47,6/21/17 4:51,ml-hongkong/stock2vec,
|
|
||||||
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,10/6/20 18:51,4.0,5.0,1.0,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,
|
|
||||||
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,3/8/21 11:01,78.0,36.0,0.0,9/5/17 19:19,9/27/17 20:42,marketneutral/pairs-trading-with-ML,
|
|
||||||
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,10/6/20 18:51,4.0,5.0,1.0,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,
|
|
||||||
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,
|
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,10/6/20 18:46,3.0,2.0,1.0,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,
|
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,10/6/20 18:51,4,5,1,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,
|
||||||
|
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,3/8/21 11:01,78,36,0,9/5/17 19:19,9/27/17 20:42,marketneutral/pairs-trading-with-ML,
|
||||||
|
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,10/6/20 18:51,4,5,1,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,
|
||||||
|
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,10/20/20 11:05,32,12,1,6/21/17 4:47,6/21/17 4:51,ml-hongkong/stock2vec,
|
||||||
|
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,10/6/20 18:46,3,2,1,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,
|
||||||
|
+2
-2
@@ -3,7 +3,6 @@ import os
|
|||||||
import pandas as pd
|
import pandas as pd
|
||||||
|
|
||||||
|
|
||||||
@DeprecationWarning
|
|
||||||
def generate_wiki_per_category(output_path):
|
def generate_wiki_per_category(output_path):
|
||||||
"""
|
"""
|
||||||
|
|
||||||
@@ -21,7 +20,8 @@ def generate_wiki_per_category(output_path):
|
|||||||
'comment': category_df['comment'],
|
'comment': category_df['comment'],
|
||||||
'created_at': category_df['created_at'],
|
'created_at': category_df['created_at'],
|
||||||
'last_commit': category_df['last_commit'],
|
'last_commit': category_df['last_commit'],
|
||||||
'star_count': category_df['star_count']
|
'star_count': category_df['star_count'],
|
||||||
|
|
||||||
})
|
})
|
||||||
output_path_full = os.path.join(output_path, '{}.md'.format(category))
|
output_path_full = os.path.join(output_path, '{}.md'.format(category))
|
||||||
with open(output_path_full, 'w') as f:
|
with open(output_path_full, 'w') as f:
|
||||||
|
|||||||
Reference in New Issue
Block a user