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setup github action to update wiki weekly as well

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Bin Yang
2021-03-31 17:07:14 -04:00
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commit a9f0c64c74
20 changed files with 410 additions and 174 deletions
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generated_wiki/Alternative Finance.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:-------------------------|:--------------------------|:----------------|:---------------------------------------------------------------------|:------------|
| <sub>[Venture Capital NN](https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring)</sub> | <sub>Cox-PH neural network predictions for VC/innovations finance research.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Private Equity](https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb)</sub> | <sub>Valuation models.</sub> | <sub>1/27/16 21:13</sub> | <sub>3/14/16 20:03</sub> | <sub>8.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[VC OLS](https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb)</sub> | <sub>VC regression.</sub> | <sub>3/29/18 23:31</sub> | <sub>3/29/18 23:33</sub> | <sub>2.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Watch Valuation](https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb)</sub> | <sub>Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.</sub> | <sub>2/8/17 18:39</sub> | <sub>4/27/17 22:55</sub> | <sub>4.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Art Valuation](https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb)</sub> | <sub>Art evaluation analytics.</sub> | <sub>12/11/14 0:25</sub> | <sub>12/12/14 21:25</sub> | <sub>9.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Blockchain](https://github.com/nud3l/dInvest)</sub> | <sub>Repository for distributed autonomous investment banking.</sub> | <sub>9/5/16 19:12</sub> | <sub>4/24/17 10:48</sub> | <sub>12.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Venture Capital](https://github.com/julian-chan/etothex)</sub> | <sub>Insight into a new founder to make data-driven investment decisions.</sub> | <sub>12/4/17 8:59</sub> | <sub>12/13/17 5:35</sub> | <sub>3.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Kiva Crowdfunding](https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb)</sub> | <sub>Exploratory data analysis.</sub> | <sub>2/27/18 16:46</sub> | <sub>2/13/19 0:15</sub> | <sub>5.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Colleges Centers and Departments.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-----------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------|:---------------|:---------------|:---------------|:-------------------------------------------------------------------|:------------|
| <sub>[NYU FRE](https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering)</sub> | <sub>Finance and Risk Engineering (NYU Tandon)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Cornell University](https://www.cornell.edu/)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Stanford Advanced Financial Technologies](https://fintech.stanford.edu/)</sub> | <sub>Stanford Advanced Financial Technologies Laboratory</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[NYU Courant](https://cims.nyu.edu/)</sub> | <sub>Courant Institute of Mathematical Sciences, New York University</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Berkeley Lab CIFT](https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Oxford Man](https://www.oxford-man.ox.ac.uk/)</sub> | <sub>Oxford-Man Institute of Quantitative Finance</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Courses.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-----------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------|:--------------------------|:-------------------------|:------------------|:---------------------------------------------------------------------|:------------|
| <sub>[Algo Trading](https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading)</sub> | <sub>Intro to algo trading.</sub> | <sub>10/29/17 20:34</sub> | <sub>1/22/19 6:56</sub> | <sub>64.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Basic Derivatives](https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives)</sub> | <sub>Basic forward contracts and hedging.</sub> | <sub>8/24/17 0:11</sub> | <sub>10/13/17 1:32</sub> | <sub>4.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Machine Learning for Trading](https://github.com/stefan-jansen/machine-learning-for-trading)</sub> | <sub>Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.</sub> | <sub>5/9/18 12:33</sub> | <sub>3/19/21 14:10</sub> | <sub>3663.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Mathematical Finance](https://github.com/yadongli/nyumath2048)</sub> | <sub>NYU Math-GA 2048: Scientific Computing in Finance.</sub> | <sub>1/25/15 21:10</sub> | <sub>3/25/20 4:24</sub> | <sub>69.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Python for Finance](https://github.com/siaen/python_finance_course)</sub> | <sub>CEU python for finance course material.</sub> | <sub>12/12/17 11:54</sub> | <sub>2/25/20 20:31</sub> | <sub>16.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Risk Management](https://github.com/andrey-lukyanov/Risk-Management)</sub> | <sub>Finance risk engagement course resources.</sub> | <sub>10/3/18 16:26</sub> | <sub>12/13/18 8:04</sub> | <sub>6.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Handson Python for Finance](https://github.com/PacktPublishing/Hands-on-Python-for-Finance)</sub> | <sub>Hands-on Python for Finance published by Packt.</sub> | <sub>8/20/18 14:10</sub> | <sub>1/15/21 8:57</sub> | <sub>120.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Basic Investments](https://github.com/SeanMcOwen/FinanceAndPython.com-Investments)</sub> | <sub>Basic investment tools in python.</sub> | <sub>8/2/17 21:52</sub> | <sub>8/17/17 3:24</sub> | <sub>9.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[ML Specialisation](https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization)</sub> | <sub>Machine Learning in Finance.</sub> | <sub>1/24/19 2:55</sub> | <sub>1/3/20 21:54</sub> | <sub>33.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Basic Finance](https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance)</sub> | <sub>Source code notebooks basic finance applications.</sub> | <sub>5/6/17 2:39</sub> | <sub>6/21/17 4:04</sub> | <sub>10.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Data Processing Techniques and Transformations.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-------------------------------------------------------------------------------|:--------------------------------------------------------------------------|:-------------------------|:-------------------------|:-----------------|:-------------------------------------------------------------------|:------------|
| <sub>[Advanced ML II](https://github.com/hudson-and-thames/research)</sub> | <sub>More implementations of Financial Machine Learning (De Prado).</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Advanced ML](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises)</sub> | <sub>Exercises too Financial Machine Learning (De Prado).</sub> | <sub>4/25/18 17:22</sub> | <sub>1/16/20 17:25</sub> | <sub>958.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Data.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:--------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|:-------------------------|:-------------------------|:-----------------|:---------------------------------------------------------------------|:------------|
| <sub>[https://fred.stlouisfed.org/](https://fred.stlouisfed.org/)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Financial Corporate](http://raw.rutgers.edu/Corporate%20Financial%20Data.html)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[https://github.com/timestocome/StockMarketData](https://github.com/timestocome/StockMarketData)</sub> | <sub>nan</sub> | <sub>5/10/17 21:49</sub> | <sub>8/6/17 19:23</sub> | <sub>7.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[https://stooq.com](https://stooq.com)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[http://finance.yahoo.com/](http://finance.yahoo.com/)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Non-financial Corporate](http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Rating Industries](http://www.ratingshistory.info/)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Capital Markets Data](https://www.capitalmarketsdata.com/)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[IRS](http://social-metrics.org/sox/)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Web Scraping (FirmAI)](https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data)</sub> | <sub>nan</sub> | <sub>2/19/19 19:02</sub> | <sub>7/22/20 16:48</sub> | <sub>576.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[SEC Parsing](https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb)</sub> | <sub>nan</sub> | <sub>6/16/18 14:30</sub> | <sub>6/16/18 17:23</sub> | <sub>9.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Open Edgar](https://github.com/LexPredict/openedgar)</sub> | <sub>nan</sub> | <sub>5/7/18 15:32</sub> | <sub>5/15/19 8:32</sub> | <sub>166.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[EDGAR](https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb)</sub> | <sub>nan</sub> | <sub>6/11/18 22:51</sub> | <sub>7/10/18 18:03</sub> | <sub>11.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub></sub> |
| <sub>[Employee Count SEC Filings](https://github.com/healthgradient/sec_employee_information_extraction)</sub> | <sub>nan</sub> | <sub>6/26/18 23:33</sub> | <sub>8/14/18 1:31</sub> | <sub>10.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Deep Learning.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:------------------|:---------------------------------------------------------------------|:--------------------|
| <sub>[awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading)</sub> | <sub>NEW</sub> | <sub>11/26/18 3:23</sub> | <sub>1/1/21 9:41</sub> | <sub>528.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x4</sub> |
| <sub>[trading-bot](https://github.com/pskrunner14/trading-bot)</sub> | <sub>NEW</sub> | <sub>8/13/18 10:44</sub> | <sub>1/23/20 4:41</sub> | <sub>285.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[Advanced-Deep-Trading](https://github.com/Rachnog/Advanced-Deep-Trading)</sub> | <sub>NEW</sub> | <sub>2/16/19 21:18</sub> | <sub>11/29/20 20:12</sub> | <sub>319.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[deep-RL-trading](https://github.com/golsun/deep-RL-trading)</sub> | <sub>NEW</sub> | <sub>2/25/18 17:41</sub> | <sub>12/1/20 22:06</sub> | <sub>231.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[FinRL-Library](https://github.com/AI4Finance-LLC/FinRL-Library)</sub> | <sub>NEW</sub> | <sub>7/26/20 13:18</sub> | <sub>3/28/21 13:46</sub> | <sub>1780.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x5</sub> |
| <sub>[RLTrader](https://github.com/notadamking/RLTrader)</sub> | <sub>NEW</sub> | <sub>4/27/19 18:35</sub> | <sub>10/17/19 16:25</sub> | <sub>1300.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x5</sub> |
| <sub>[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)</sub> | <sub>NEW</sub> | <sub>7/26/20 13:12</sub> | <sub>1/21/21 18:11</sub> | <sub>542.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x4</sub> |
| <sub>[BitcoinForecast](https://github.com/PiSimo/BitcoinForecast)</sub> | <sub>NEW</sub> | <sub>3/10/17 10:52</sub> | <sub>6/11/18 8:07</sub> | <sub>287.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[AutomatedStockTrading-DeepQ-Learning](https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning)</sub> | <sub>NEW</sub> | <sub>2/23/19 12:01</sub> | <sub>2/25/20 18:16</sub> | <sub>134.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[Personae](https://github.com/Ceruleanacg/Personae)</sub> | <sub>NEW</sub> | <sub>3/10/18 11:22</sub> | <sub>9/2/18 17:21</sub> | <sub>1142.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub>:star:x5</sub> |
| <sub>[Deep-Reinforcement-Stock-Trading](https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading)</sub> | <sub>NEW</sub> | <sub>5/19/19 22:20</sub> | <sub>9/27/20 19:22</sub> | <sub>140.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[Deep-Learning-Machine-Learning-Stock](https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock)</sub> | <sub>NEW</sub> | <sub>9/29/18 23:38</sub> | <sub>3/18/21 3:16</sub> | <sub>251.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[trading-rl](https://github.com/Kostis-S-Z/trading-rl)</sub> | <sub>NEW</sub> | <sub>4/22/19 10:03</sub> | <sub>9/28/20 9:07</sub> | <sub>179.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[DQN-DDPG_Stock_Trading](https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading)</sub> | <sub>NEW</sub> | <sub>9/19/18 3:17</sub> | <sub>11/26/20 16:58</sub> | <sub>134.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models)</sub> | <sub>NEW</sub> | <sub>12/18/17 10:49</sub> | <sub>1/5/21 10:31</sub> | <sub>3584.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x5</sub> |
| <sub>[Deep-Reinforcement-Learning-in-Trading](https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading)</sub> | <sub>NEW</sub> | <sub>5/11/18 0:52</sub> | <sub>10/26/19 14:22</sub> | <sub>137.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[crypto-rl](https://github.com/sadighian/crypto-rl)</sub> | <sub>NEW</sub> | <sub>6/21/18 1:06</sub> | <sub>11/5/20 11:08</sub> | <sub>339.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[DeepLearningInFinance](https://github.com/sonaam1234/DeepLearningInFinance)</sub> | <sub>NEW</sub> | <sub>8/21/17 16:00</sub> | <sub>8/21/17 17:23</sub> | <sub>266.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[LTSM GRU](https://github.com/RajatHanda/Finance-Forecasting)</sub> | <sub>Stock Market Forecasting using LSTM\GRU.</sub> | <sub>5/13/18 2:39</sub> | <sub>2/25/19 0:26</sub> | <sub>11.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[Deep Learning](https://github.com/keon/deepstock)</sub> | <sub>Technical experimentations to beat the stock market using deep learning.</sub> | <sub>12/12/16 2:15</sub> | <sub>3/4/17 8:37</sub> | <sub>427.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub>:star:x4</sub> |
| <sub>[Deep Learning II](https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks)</sub> | <sub>Tensorflow Regression.</sub> | <sub>7/12/16 12:56</sub> | <sub>2/16/18 2:43</sub> | <sub>174.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[Deep Learning III](https://github.com/Rachnog/Deep-Trading)</sub> | <sub>Algorithmic trading with deep learning experiments.</sub> | <sub>6/18/16 18:23</sub> | <sub>8/7/18 15:24</sub> | <sub>1262.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub>:star:x5</sub> |
| <sub>[Deep Learning IV](https://github.com/achillesrasquinha/bulbea)</sub> | <sub>Bulbea: Deep Learning based Python Library.</sub> | <sub>3/9/17 6:11</sub> | <sub>3/19/17 7:42</sub> | <sub>1448.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x5</sub> |
| <sub>[AI Trading](https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md)</sub> | <sub>AI to predict stock market movements.</sub> | <sub>1/9/19 8:02</sub> | <sub>2/11/19 16:32</sub> | <sub>2852.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub>:star:x5</sub> |
| <sub>[Neural Network](https://github.com/VivekPa/IntroNeuralNetworks)</sub> | <sub>Neural networks to predict stock prices.</sub> | <sub>9/10/18 6:34</sub> | <sub>11/21/18 7:39</sub> | <sub>488.0</sub> | <sub>![inactive](https://placehold.it/15/FF0000/000000?text=+)</sub> | <sub>:star:x4</sub> |
| <sub>[ARIMA-LTSM Hybrid](https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid)</sub> | <sub>Hybrid model to predict future price correlation coefficients of two assets.</sub> | <sub>8/5/18 2:13</sub> | <sub>10/1/18 11:25</sub> | <sub>218.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x3</sub> |
| <sub>[LTSM Recurrent](https://github.com/VivekPa/AIAlpha)</sub> | <sub>OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.</sub> | <sub>10/7/18 3:58</sub> | <sub>8/3/19 9:00</sub> | <sub>1198.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub>:star:x4</sub> |
generated_wiki/Derivatives and Hedging.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-----------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:-----------------|:-------------------------------------------------------------------|:------------|
| <sub>[Computational Derivatives](https://github.com/chenbowen184/Computational_Finance)</sub> | <sub>Projects focusing on investigating simulations and computational techniques applied in finance.</sub> | <sub>1/29/18 5:01</sub> | <sub>8/2/18 5:56</sub> | <sub>17.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Delta Hedging](https://github.com/RobinsonGarcia/delta-hedging)</sub> | <sub>Advanced derivatives.</sub> | <sub>3/2/18 23:53</sub> | <sub>7/17/18 23:32</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Options Risk Measures](https://github.com/wanglouis49/risk_estimation)</sub> | <sub>Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).</sub> | <sub>4/29/16 3:51</sub> | <sub>1/16/18 1:24</sub> | <sub>1.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Derivatives Python](https://github.com/yhilpisch/dawp/tree/master/python36)</sub> | <sub>Derivative analytics with Python.</sub> | <sub>7/9/15 12:27</sub> | <sub>2/22/21 13:29</sub> | <sub>387.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Options](https://github.com/PHBS/2018.M1.ASP/tree/master/py)</sub> | <sub>Black Scholes and Copula.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Option Strategies](https://github.com/rstreppa/valuation-OptionStrategies)</sub> | <sub>Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.</sub> | <sub>5/22/18 18:27</sub> | <sub>5/22/18 18:30</sub> | <sub>2.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Black Scholes](https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb)</sub> | <sub>Options pricing.</sub> | <sub>12/9/17 18:50</sub> | <sub>7/9/18 9:48</sub> | <sub>1.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Hull White](https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb)</sub> | <sub>Callable Bond, Hull White.</sub> | <sub>6/6/18 22:06</sub> | <sub>6/6/18 22:27</sub> | <sub>4.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Reinforcement Learning](https://github.com/FinTechies/HedgingRL)</sub> | <sub>Hedging portfolios with reinforcement learning.</sub> | <sub>4/21/17 10:58</sub> | <sub>8/2/17 21:41</sub> | <sub>16.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Volatility and Variance Derivatives](https://github.com/yhilpisch/lvvd/tree/master/lvvd)</sub> | <sub>Volatility derivatives analytics.</sub> | <sub>10/21/16 4:12</sub> | <sub>2/22/21 13:32</sub> | <sub>78.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Options](https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D)</sub> | <sub>Introduction to options.</sub> | <sub>7/28/17 15:48</sub> | <sub>3/17/21 17:17</sub> | <sub>328.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Derivative Markets](https://github.com/broughtj/Fin6470/tree/master/Notebooks)</sub> | <sub>The economics of futures, futures, options, and swaps.</sub> | <sub>2/9/16 5:30</sub> | <sub>3/18/21 3:47</sub> | <sub>8.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Derman](https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb)</sub> | <sub>Binomial tree for American call.</sub> | <sub>5/18/18 18:08</sub> | <sub>9/21/18 19:59</sub> | <sub>1.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Extended Research.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-----------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:-----------------|:-------------------------------------------------------------------|:------------|
| <sub>[Real Estate Property Fraud](https://github.com/aviroop1/Real_Estate_Property_Fraud)</sub> | <sub>Unsupervised fraud detection model that can identify likely candidates of fraud.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[HFT](https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy)</sub> | <sub>High frequency trading.</sub> | <sub>7/21/16 5:14</sub> | <sub>2/14/17 16:47</sub> | <sub>742.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Deep Portfolio](https://github.com/DLColumbia/DL_forFinance)</sub> | <sub>Deep learning for finance Predict volume of bonds.</sub> | <sub>5/8/18 19:34</sub> | <sub>5/9/18 15:39</sub> | <sub>27.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[NLP Finance Papers](https://github.com/chenbowen184/Research_Documents_Curation_with_NLP)</sub> | <sub>Curating quantitative finance papers using machine learning.</sub> | <sub>10/11/18 20:32</sub> | <sub>12/24/18 23:27</sub> | <sub>8.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Simulation](https://github.com/chenbowen184/Computational_Finance)</sub> | <sub>Investigating simulations as part of computational finance.</sub> | <sub>1/29/18 5:01</sub> | <sub>8/2/18 5:56</sub> | <sub>17.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Commodity](https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb)</sub> | <sub>Commodity influence over Brazilian stocks.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Bayesian Finance I](https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb)</sub> | <sub>Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.</sub> | <sub>1/4/19 12:30</sub> | <sub>2/18/19 9:55</sub> | <sub>25.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Currency PCA](https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb)</sub> | <sub>Forex spots PCA.</sub> | <sub>3/12/19 21:11</sub> | <sub>3/12/19 22:09</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Backtests](https://github.com/AlgoTraders/stock-analysis-engine)</sub> | <sub>Trading data and algorithms.</sub> | <sub>9/16/18 20:00</sub> | <sub>9/5/20 13:01</sub> | <sub>613.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[High Frequency](https://github.com/cswaney/prickle)</sub> | <sub>A Python toolkit for high-frequency trade research.</sub> | <sub>7/6/16 20:32</sub> | <sub>6/9/18 10:53</sub> | <sub>24.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Critical Transitions](https://github.com/ryanholbrook/critical-transitions)</sub> | <sub>Detecting critical transitions in financial networks with topological data analysis.</sub> | <sub>1/22/19 10:59</sub> | <sub>3/12/19 18:35</sub> | <sub>10.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Liquidity and Momentum](https://github.com/mrefermat/quant_finance)</sub> | <sub>Various factors and portfolio constructions.</sub> | <sub>8/11/18 22:59</sub> | <sub>11/12/19 4:49</sub> | <sub>31.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Applied Corporate Finance](https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance)</sub> | <sub>Studies the empirical behaviours in stock market.</sub> | <sub>1/29/18 5:14</sub> | <sub>7/19/18 6:25</sub> | <sub>8.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[M&A](https://github.com/atulram/Finance-and-Stocks)</sub> | <sub>Mergers and Acquisitions.</sub> | <sub>1/19/19 18:16</sub> | <sub>2/18/19 16:57</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Life-cycle](https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb)</sub> | <sub>Company life cycle.</sub> | <sub>1/19/19 18:16</sub> | <sub>2/18/19 16:57</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Computational Finance](https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance)</sub> | <sub>Applied Computational Economics and Finance.</sub> | <sub>8/27/17 3:46</sub> | <sub>8/26/17 4:26</sub> | <sub>12.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Bayesian Finance](https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb)</sub> | <sub>Notebook PyMC3 implementation.</sub> | <sub>8/28/18 14:45</sub> | <sub>8/6/20 22:03</sub> | <sub>229.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Corporate Finance](https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance)</sub> | <sub>Basic corporate finance.</sub> | <sub>9/9/17 3:35</sub> | <sub>9/9/17 23:04</sub> | <sub>9.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Mathematical Finance](https://github.com/Auquan/Tutorials)</sub> | <sub>Notebooks for math and financial tutorials.</sub> | <sub>1/21/17 11:24</sub> | <sub>8/1/20 17:03</sub> | <sub>661.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Behavioural Economics](https://github.com/pcmichaud/notebooks)</sub> | <sub>Behavioural Economics and Finance Python Notebooks.</sub> | <sub>12/20/18 0:21</sub> | <sub>3/26/19 11:51</sub> | <sub>9.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Financial Economics](https://github.com/rsvp/fecon235/tree/master/nb)</sub> | <sub>Financial Economics Models.</sub> | <sub>11/9/14 4:49</sub> | <sub>12/3/18 16:30</sub> | <sub>709.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Economic Foundations](https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations)</sub> | <sub>Basic economic models.</sub> | <sub>5/25/17 2:27</sub> | <sub>6/30/17 3:53</sub> | <sub>2.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Finance Graph Theory](https://github.com/AvijitGhosh82/Finance_Graph_Theory)</sub> | <sub>Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.</sub> | <sub>8/2/18 2:48</sub> | <sub>3/16/19 18:39</sub> | <sub>17.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Market Crash Prediction](https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb)</sub> | <sub>Predicting market crashes using an LPPL model.</sub> | <sub>1/24/19 13:37</sub> | <sub>2/13/19 16:48</sub> | <sub>1.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:--------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:------------------|:-------------------------------------------------------------------|:------------|
| <sub>[Risk and Return](https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials)</sub> | <sub>Riskiness of portfolios and assets.</sub> | <sub>9/12/17 13:35</sub> | <sub>8/6/20 12:35</sub> | <sub>139.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Risk Basic](https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb)</sub> | <sub>Active portfolio risk management .</sub> | <sub>5/10/16 11:03</sub> | <sub>5/17/16 3:44</sub> | <sub>31.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Quant Finance](https://github.com/mrefermat/quant_finance)</sub> | <sub>General quant repository.</sub> | <sub>8/11/18 22:59</sub> | <sub>11/12/19 4:49</sub> | <sub>31.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Various Risk Measures](https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb)</sub> | <sub>Risk measures and factors for alternative and responsible investments.</sub> | <sub>8/7/17 14:44</sub> | <sub>8/8/17 22:52</sub> | <sub>4.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[CAPM](https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb)</sub> | <sub>Expected returns using CAPM.</sub> | <sub>5/10/16 11:03</sub> | <sub>5/17/16 3:44</sub> | <sub>31.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Factor Analysis](https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb)</sub> | <sub>Factor analysis for mutual funds.</sub> | <sub>3/13/18 7:39</sub> | <sub>3/13/18 7:42</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Factor Analysis](https://github.com/alpha-miner/alpha-mind/tree/master/notebooks)</sub> | <sub>Factor strategy notebooks.</sub> | <sub>5/1/17 7:36</sub> | <sub>2/9/21 9:36</sub> | <sub>171.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Statistical Finance](https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments)</sub> | <sub>Various financial experiments.</sub> | <sub>10/4/15 9:10</sub> | <sub>3/28/20 18:33</sub> | <sub>21.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Convex Optimisation](https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb)</sub> | <sub>Convex Optimization for Finance.</sub> | <sub>6/26/18 20:36</sub> | <sub>10/22/19 21:56</sub> | <sub>17.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[VaR](https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb)</sub> | <sub>Value-at-risk calculations.</sub> | <sub>11/15/16 19:24</sub> | <sub>1/14/17 21:19</sub> | <sub>9.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Python for Finance](https://github.com/yhilpisch/py4fi/tree/master/jupyter36)</sub> | <sub>Various financial notebooks.</sub> | <sub>12/15/14 11:23</sub> | <sub>7/10/18 6:38</sub> | <sub>1294.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Performance Analysis](https://github.com/quantopian/alphalens)</sub> | <sub>Performance analysis of predictive (alpha) stock factors.</sub> | <sub>6/3/16 21:49</sub> | <sub>4/27/20 18:40</sub> | <sub>1835.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Pyfolio](https://github.com/quantopian/pyfolio)</sub> | <sub>Portfolio and risk analytics in Python.</sub> | <sub>6/1/15 15:31</sub> | <sub>2/28/20 17:30</sub> | <sub>3633.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[VaR GaN](https://github.com/hamaadshah/market_risk_gan_keras)</sub> | <sub>Estimate Value-at-Risk for market risk management using Keras and TensorFlow.</sub> | <sub>8/6/18 16:09</sub> | <sub>11/22/20 19:02</sub> | <sub>41.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------|:-------------------------|:-------------------------|:---------------|:-------------------------------------------------------------------|:------------|
| <sub>[Vasicek](https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb)</sub> | <sub>Bootstrapping and interpolation.</sub> | <sub>7/18/18 19:26</sub> | <sub>7/18/18 19:34</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Corporate Bonds](https://github.com/ishank011/gs-quantify-bond-prediction)</sub> | <sub>Predicting the buying and selling volume of the corporate bonds.</sub> | <sub>9/27/17 19:57</sub> | <sub>9/27/17 20:00</sub> | <sub>7.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Binomial Tree](https://github.com/hy-lei/math-finance-exercise)</sub> | <sub>Utility functions in fixed income securities.</sub> | <sub>2/2/19 8:44</sub> | <sub>5/3/19 17:16</sub> | <sub>1.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Other Models.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-----------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------|:--------------------------|:-------------------------|:------------------|:-------------------------------------------------------------------|:------------|
| <sub>[Trend Following](http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html)</sub> | <sub>A futures trend following portfolio investment strategy.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Mixture Models I](https://github.com/BlackArbsCEO/Mixture_Models)</sub> | <sub>Mixture models to predict market bottoms.</sub> | <sub>3/20/17 18:54</sub> | <sub>4/25/17 23:35</sub> | <sub>31.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Mixture Models II](https://github.com/BlackArbsCEO/mixture_model_trading_public)</sub> | <sub>Mixture models and stock trading.</sub> | <sub>12/11/17 17:05</sub> | <sub>5/13/20 23:50</sub> | <sub>166.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Fundamental LT Forecasts](https://github.com/Hvass-Labs/FinanceOps)</sub> | <sub>Research in investment finance for long term forecasts.</sub> | <sub>7/22/18 8:14</sub> | <sub>2/17/21 14:39</sub> | <sub>379.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Scikit-learn Stock Prediction](https://github.com/robertmartin8/MachineLearningStocks)</sub> | <sub>Using python and scikit-learn to make stock predictions.</sub> | <sub>2/12/17 4:50</sub> | <sub>2/4/21 3:48</sub> | <sub>919.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Short-Term Movement Cues](https://github.com/anfederico/Clairvoyant)</sub> | <sub>Identify social/historical cues for short term stock movement.</sub> | <sub>9/12/16 18:38</sub> | <sub>8/29/18 20:27</sub> | <sub>2157.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Personal Papers.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|:---------------|:---------------|:---------------|:-------------------------------------------------------------------|:------------|
| <sub>[Machine Learning in Asset Management](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies](https://jfds.pm-research.com/content/2/1/10)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization](https://jfds.pm-research.com/content/2/2/17)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Financial Event Prediction using Machine Learning](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555)</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Portfolio Selection and Optimisation.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:------------------|:-------------------------------------------------------------------|:------------|
| <sub>[PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt)</sub> | <sub>Financial portfolio optimisation, including classical efficient frontier and advanced methods.</sub> | <sub>5/29/18 13:30</sub> | <sub>2/25/21 13:01</sub> | <sub>1865.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[DeepDow](https://github.com/jankrepl/deepdow)</sub> | <sub>Portfolio optimization with deep learning.</sub> | <sub>2/2/20 8:46</sub> | <sub>2/16/21 18:50</sub> | <sub>303.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Modern Portfolio Theory](https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb)</sub> | <sub>Universal portfolios; modern portfolio theory.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[OLMAR Algorithm](https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb)</sub> | <sub>Relative importance of each component of the OLMAR algorithm.</sub> | <sub>7/26/16 16:20</sub> | <sub>12/30/16 11:40</sub> | <sub>6.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Online Portfolio Selection](https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb)</sub> | <sub>****Comparing OLPS algorithms on a diversified set of ETFs.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[401K Portfolio Optimisation](https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb)</sub> | <sub>Portfolio analyses and optimisation for 401K.</sub> | <sub>8/1/18 19:48</sub> | <sub>9/5/19 11:18</sub> | <sub>14.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Policy Gradient Portfolio](https://github.com/ZhengyaoJiang/PGPortfolio)</sub> | <sub>A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.</sub> | <sub>11/12/17 16:08</sub> | <sub>5/9/19 9:50</sub> | <sub>1274.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Deep Portfolio Theory](https://github.com/tcloaa/Deep-Portfolio-Theory)</sub> | <sub>Autoencoder framework for portfolio selection.</sub> | <sub>2/10/17 9:03</sub> | <sub>3/8/18 16:47</sub> | <sub>104.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Efficient Frontier](https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb)</sub> | <sub>Modern Portfolio Theory.</sub> | <sub>2/17/18 8:19</sub> | <sub>2/27/18 13:16</sub> | <sub>104.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Reinforcement Learning](https://github.com/filangel/qtrader)</sub> | <sub>Reinforcement Learning for Portfolio Management.</sub> | <sub>10/7/17 9:14</sub> | <sub>6/26/18 9:22</sub> | <sub>364.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Distribution Characteristic Optimisation](https://github.com/VivekPa/OptimalPortfolio)</sub> | <sub>Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.</sub> | <sub>11/16/18 12:20</sub> | <sub>7/4/19 1:41</sub> | <sub>229.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Reinforcement Learning.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:------------------|:-------------------------------------------------------------------|:------------|
| <sub>[Pair Trading RL](https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading)</sub> | <sub>Using deep actor-critic model to learn best strategies in pair trading.</sub> | <sub>5/18/17 16:47</sub> | <sub>5/18/17 16:56</sub> | <sub>241.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[RL II](https://github.com/deependersingla/deep_trader)</sub> | <sub>reinforcement learning on stock market and agent tries to learn trading.</sub> | <sub>6/11/16 7:27</sub> | <sub>1/22/18 14:35</sub> | <sub>1340.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[RL](https://github.com/kh-kim/stock_market_reinforcement_learning)</sub> | <sub>OpenGym with Deep Q-learning and Policy Gradient.</sub> | <sub>10/4/16 14:42</sub> | <sub>12/23/16 7:34</sub> | <sub>712.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[RL III](https://github.com/samre12/deep-trading-agent)</sub> | <sub>Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.</sub> | <sub>9/21/17 17:05</sub> | <sub>4/13/18 16:33</sub> | <sub>575.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[RL IV](https://github.com/jjakimoto/DQN)</sub> | <sub>Reinforcement Learning for finance.</sub> | <sub>10/21/16 2:47</sub> | <sub>4/7/17 8:11</sub> | <sub>140.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[RL V](https://github.com/gstenger98/rl-finance)</sub> | <sub>Building an Agent to Trade with Reinforcement Learning.</sub> | <sub>1/16/19 0:43</sub> | <sub>3/19/20 20:28</sub> | <sub>32.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[RL Trading](https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW)</sub> | <sub>A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/Textual.md
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:-----------------|:-------------------------------------------------------------------|:------------|
| <sub>[Fund classification](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb)</sub> | <sub>Fund classification using text mining and NLP.</sub> | <sub>4/16/18 22:18</sub> | <sub>6/7/18 22:01</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Financial Sentiment Analysis](https://github.com/EricHe98/Financial-Statements-Text-Analysis)</sub> | <sub>Sentiment, distance and proportion analysis for trading signals.</sub> | <sub>6/23/17 0:05</sub> | <sub>1/26/19 3:35</sub> | <sub>47.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[NLP Event](https://github.com/yuriak/DLQuant)</sub> | <sub>Applying Deep Learning and NLP in Quantitative Trading.</sub> | <sub>7/2/18 23:50</sub> | <sub>1/31/19 14:08</sub> | <sub>68.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Financial Statement Sentiment](https://github.com/MAydogdu/TextualAnalysis)</sub> | <sub>Extracting sentiment from financial statements using neural networks.</sub> | <sub>6/4/18 20:54</sub> | <sub>6/4/18 20:56</sub> | <sub>7.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Extensive NLP](https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb)</sub> | <sub>Comprehensive NLP techniques for accounting research.</sub> | <sub>10/25/17 7:10</sub> | <sub>6/5/20 3:28</sub> | <sub>73.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Accounting Anomalies](https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb)</sub> | <sub>Using deep-learning frameworks to identify accounting anomalies.</sub> | <sub>5/24/17 12:36</sub> | <sub>8/7/19 21:47</sub> | <sub>106.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Buzzwords](https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds)</sub> | <sub>Return performance and mutual fund selection.</sub> | <sub>2/4/18 21:51</sub> | <sub>2/4/18 21:57</sub> | <sub>1.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Earning call transcripts](https://github.com/lin882/WebAnalyticsProject)</sub> | <sub>Correlation between mutual fund investment decision and earning call transcripts.</sub> | <sub>12/30/17 8:56</sub> | <sub>1/11/18 2:11</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[NLP](https://github.com/toamitesh/NLPinFinance)</sub> | <sub>This project assembles a lot of NLP operations needed for finance domain.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|:-------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:----------------|:-------------------------------------------------------------------|:------------|
| <sub>[PCA Pairs Trading](https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading)</sub> | <sub>PCA, Factor Returns, and trading strategies.</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>nan</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Industry Clustering](https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries)</sub> | <sub>Clustering of industries.</sub> | <sub>7/21/17 2:12</sub> | <sub>7/23/17 2:53</sub> | <sub>4.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Pairs Trading](https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb)</sub> | <sub>Finding pairs with cluster analysis.</sub> | <sub>9/5/17 19:19</sub> | <sub>9/27/17 20:42</sub> | <sub>78.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Industry Clustering](https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries)</sub> | <sub>Project to cluster industries according to financial attributes.</sub> | <sub>7/21/17 2:12</sub> | <sub>7/23/17 2:53</sub> | <sub>4.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[VRA Stock Embedding](https://github.com/ml-hongkong/stock2vec)</sub> | <sub>Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.</sub> | <sub>6/21/17 4:47</sub> | <sub>6/21/17 4:51</sub> | <sub>32.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
| <sub>[Fund Clusters](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb)</sub> | <sub>Data exploration of fund clusters.</sub> | <sub>4/16/18 22:18</sub> | <sub>6/7/18 22:01</sub> | <sub>3.0</sub> | <sub>![active](https://placehold.it/15/00FF00/000000?text=+)</sub> | <sub></sub> |
generated_wiki/__init__.py
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