diff --git a/generated_wiki/Alternative Finance.md b/generated_wiki/Alternative Finance.md
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-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------|:-------------------------|:--------------------------|:----------------|:---------------------------------------------------------------------|:------------|
-| [Venture Capital NN](https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring) | Cox-PH neural network predictions for VC/innovations finance research. | nan | nan | nan |  | |
-| [Private Equity](https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb) | Valuation models. | 1/27/16 21:13 | 3/14/16 20:03 | 8.0 |  | |
-| [VC OLS](https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb) | VC regression. | 3/29/18 23:31 | 3/29/18 23:33 | 2.0 |  | |
-| [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. | 2/8/17 18:39 | 4/27/17 22:55 | 4.0 |  | |
-| [Art Valuation](https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb) | Art evaluation analytics. | 12/11/14 0:25 | 12/12/14 21:25 | 9.0 |  | |
-| [Blockchain](https://github.com/nud3l/dInvest) | Repository for distributed autonomous investment banking. | 9/5/16 19:12 | 4/24/17 10:48 | 12.0 |  | |
-| [Venture Capital](https://github.com/julian-chan/etothex) | Insight into a new founder to make data-driven investment decisions. | 12/4/17 8:59 | 12/13/17 5:35 | 3.0 |  | |
-| [Kiva Crowdfunding](https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb) | Exploratory data analysis. | 2/27/18 16:46 | 2/13/19 0:15 | 5.0 |  | |
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diff --git a/generated_wiki/Colleges Centers and Departments.md b/generated_wiki/Colleges Centers and Departments.md
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-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-----------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------|:---------------|:---------------|:---------------|:-------------------------------------------------------------------|:------------|
-| [NYU FRE](https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering) | Finance and Risk Engineering (NYU Tandon) | nan | nan | nan |  | |
-| [Cornell University](https://www.cornell.edu/) | nan | nan | nan | nan |  | |
-| [Stanford Advanced Financial Technologies](https://fintech.stanford.edu/) | Stanford Advanced Financial Technologies Laboratory | nan | nan | nan |  | |
-| [NYU Courant](https://cims.nyu.edu/) | Courant Institute of Mathematical Sciences, New York University | nan | nan | nan |  | |
-| [Berkeley Lab CIFT](https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/) | nan | nan | nan | nan |  | |
-| [Oxford Man](https://www.oxford-man.ox.ac.uk/) | Oxford-Man Institute of Quantitative Finance | nan | nan | nan |  | |
\ No newline at end of file
diff --git a/generated_wiki/Courses.md b/generated_wiki/Courses.md
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@@ -1,12 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-----------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------|:--------------------------|:-------------------------|:------------------|:---------------------------------------------------------------------|:------------|
-| [Algo Trading](https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading) | Intro to algo trading. | 10/29/17 20:34 | 1/22/19 6:56 | 64.0 |  | |
-| [Basic Derivatives](https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives) | Basic forward contracts and hedging. | 8/24/17 0:11 | 10/13/17 1:32 | 4.0 |  | |
-| [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. | 5/9/18 12:33 | 3/19/21 14:10 | 3663.0 |  | |
-| [Mathematical Finance](https://github.com/yadongli/nyumath2048) | NYU Math-GA 2048: Scientific Computing in Finance. | 1/25/15 21:10 | 3/25/20 4:24 | 69.0 |  | |
-| [Python for Finance](https://github.com/siaen/python_finance_course) | CEU python for finance course material. | 12/12/17 11:54 | 2/25/20 20:31 | 16.0 |  | |
-| [Risk Management](https://github.com/andrey-lukyanov/Risk-Management) | Finance risk engagement course resources. | 10/3/18 16:26 | 12/13/18 8:04 | 6.0 |  | |
-| [Handson Python for Finance](https://github.com/PacktPublishing/Hands-on-Python-for-Finance) | Hands-on Python for Finance published by Packt. | 8/20/18 14:10 | 1/15/21 8:57 | 120.0 |  | |
-| [Basic Investments](https://github.com/SeanMcOwen/FinanceAndPython.com-Investments) | Basic investment tools in python. | 8/2/17 21:52 | 8/17/17 3:24 | 9.0 |  | |
-| [ML Specialisation](https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization) | Machine Learning in Finance. | 1/24/19 2:55 | 1/3/20 21:54 | 33.0 |  | |
-| [Basic Finance](https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance) | Source code notebooks basic finance applications. | 5/6/17 2:39 | 6/21/17 4:04 | 10.0 |  | |
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diff --git a/generated_wiki/Data Processing Techniques and Transformations.md b/generated_wiki/Data Processing Techniques and Transformations.md
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index 3afe87e..0000000
--- a/generated_wiki/Data Processing Techniques and Transformations.md
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@@ -1,4 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-------------------------------------------------------------------------------|:--------------------------------------------------------------------------|:-------------------------|:-------------------------|:-----------------|:-------------------------------------------------------------------|:------------|
-| [Advanced ML II](https://github.com/hudson-and-thames/research) | More implementations of Financial Machine Learning (De Prado). | nan | nan | nan |  | |
-| [Advanced ML](https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises) | Exercises too Financial Machine Learning (De Prado). | 4/25/18 17:22 | 1/16/20 17:25 | 958.0 |  | |
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diff --git a/generated_wiki/Data.md b/generated_wiki/Data.md
deleted file mode 100644
index 8c6ec91..0000000
--- a/generated_wiki/Data.md
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@@ -1,16 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:--------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|:-------------------------|:-------------------------|:-----------------|:---------------------------------------------------------------------|:------------|
-| [https://fred.stlouisfed.org/](https://fred.stlouisfed.org/) | nan | nan | nan | nan |  | |
-| [Financial Corporate](http://raw.rutgers.edu/Corporate%20Financial%20Data.html) | nan | nan | nan | nan |  | |
-| [https://github.com/timestocome/StockMarketData](https://github.com/timestocome/StockMarketData) | nan | 5/10/17 21:49 | 8/6/17 19:23 | 7.0 |  | |
-| [https://stooq.com](https://stooq.com) | nan | nan | nan | nan |  | |
-| [http://finance.yahoo.com/](http://finance.yahoo.com/) | nan | nan | nan | nan |  | |
-| [Non-financial Corporate](http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html) | nan | nan | nan | nan |  | |
-| [Rating Industries](http://www.ratingshistory.info/) | nan | nan | nan | nan |  | |
-| [Capital Markets Data](https://www.capitalmarketsdata.com/) | nan | nan | nan | nan |  | |
-| [IRS](http://social-metrics.org/sox/) | nan | nan | nan | nan |  | |
-| [Web Scraping (FirmAI)](https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data) | nan | 2/19/19 19:02 | 7/22/20 16:48 | 576.0 |  | |
-| [SEC Parsing](https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb) | nan | 6/16/18 14:30 | 6/16/18 17:23 | 9.0 |  | |
-| [Open Edgar](https://github.com/LexPredict/openedgar) | nan | 5/7/18 15:32 | 5/15/19 8:32 | 166.0 |  | |
-| [EDGAR](https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb) | nan | 6/11/18 22:51 | 7/10/18 18:03 | 11.0 |  | |
-| [Employee Count SEC Filings](https://github.com/healthgradient/sec_employee_information_extraction) | nan | 6/26/18 23:33 | 8/14/18 1:31 | 10.0 |  | |
\ No newline at end of file
diff --git a/generated_wiki/Deep Learning.md b/generated_wiki/Deep Learning.md
deleted file mode 100644
index 366c764..0000000
--- a/generated_wiki/Deep Learning.md
+++ /dev/null
@@ -1,29 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:------------------|:---------------------------------------------------------------------|:--------------------|
-| [awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading) | curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes | 11/26/18 3:23 | 1/1/21 9:41 | 528.0 |  | :star:x4 |
-| [trading-bot](https://github.com/pskrunner14/trading-bot) | Implementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python | 8/13/18 10:44 | 1/23/20 4:41 | 285.0 |  | :star:x3 |
-| [Advanced-Deep-Trading](https://github.com/Rachnog/Advanced-Deep-Trading) | notebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. | 2/16/19 21:18 | 11/29/20 20:12 | 319.0 |  | :star:x3 |
-| [deep-RL-trading](https://github.com/golsun/deep-RL-trading) | NEW | 2/25/18 17:41 | 12/1/20 22:06 | 231.0 |  | :star:x3 |
-| [FinRL-Library](https://github.com/AI4Finance-LLC/FinRL-Library) | NEW | 7/26/20 13:18 | 3/28/21 13:46 | 1780.0 |  | :star:x5 |
-| [RLTrader](https://github.com/notadamking/RLTrader) | NEW | 4/27/19 18:35 | 10/17/19 16:25 | 1300.0 |  | :star:x5 |
-| [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 | 7/26/20 13:12 | 1/21/21 18:11 | 542.0 |  | :star:x4 |
-| [BitcoinForecast](https://github.com/PiSimo/BitcoinForecast) | NEW | 3/10/17 10:52 | 6/11/18 8:07 | 287.0 |  | :star:x3 |
-| [AutomatedStockTrading-DeepQ-Learning](https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning) | NEW | 2/23/19 12:01 | 2/25/20 18:16 | 134.0 |  | :star:x3 |
-| [Personae](https://github.com/Ceruleanacg/Personae) | NEW | 3/10/18 11:22 | 9/2/18 17:21 | 1142.0 |  | :star:x5 |
-| [Deep-Reinforcement-Stock-Trading](https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading) | NEW | 5/19/19 22:20 | 9/27/20 19:22 | 140.0 |  | :star:x3 |
-| [Deep-Learning-Machine-Learning-Stock](https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock) | NEW | 9/29/18 23:38 | 3/18/21 3:16 | 251.0 |  | :star:x3 |
-| [trading-rl](https://github.com/Kostis-S-Z/trading-rl) | NEW | 4/22/19 10:03 | 9/28/20 9:07 | 179.0 |  | :star:x3 |
-| [DQN-DDPG_Stock_Trading](https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading) | NEW | 9/19/18 3:17 | 11/26/20 16:58 | 134.0 |  | :star:x3 |
-| [Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models) | NEW | 12/18/17 10:49 | 1/5/21 10:31 | 3584.0 |  | :star:x5 |
-| [Deep-Reinforcement-Learning-in-Trading](https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading) | NEW | 5/11/18 0:52 | 10/26/19 14:22 | 137.0 |  | :star:x3 |
-| [crypto-rl](https://github.com/sadighian/crypto-rl) | NEW | 6/21/18 1:06 | 11/5/20 11:08 | 339.0 |  | :star:x3 |
-| [DeepLearningInFinance](https://github.com/sonaam1234/DeepLearningInFinance) | NEW | 8/21/17 16:00 | 8/21/17 17:23 | 266.0 |  | :star:x3 |
-| [LTSM GRU](https://github.com/RajatHanda/Finance-Forecasting) | Stock Market Forecasting using LSTM\GRU. | 5/13/18 2:39 | 2/25/19 0:26 | 11.0 |  | :star:x3 |
-| [Deep Learning](https://github.com/keon/deepstock) | Technical experimentations to beat the stock market using deep learning. | 12/12/16 2:15 | 3/4/17 8:37 | 427.0 |  | :star:x4 |
-| [Deep Learning II](https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks) | Tensorflow Regression. | 7/12/16 12:56 | 2/16/18 2:43 | 174.0 |  | :star:x3 |
-| [Deep Learning III](https://github.com/Rachnog/Deep-Trading) | Algorithmic trading with deep learning experiments. | 6/18/16 18:23 | 8/7/18 15:24 | 1262.0 |  | :star:x5 |
-| [Deep Learning IV](https://github.com/achillesrasquinha/bulbea) | Bulbea: Deep Learning based Python Library. | 3/9/17 6:11 | 3/19/17 7:42 | 1448.0 |  | :star:x5 |
-| [AI Trading](https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md) | AI to predict stock market movements. | 1/9/19 8:02 | 2/11/19 16:32 | 2852.0 |  | :star:x5 |
-| [Neural Network](https://github.com/VivekPa/IntroNeuralNetworks) | Neural networks to predict stock prices. | 9/10/18 6:34 | 11/21/18 7:39 | 488.0 |  | :star:x4 |
-| [ARIMA-LTSM Hybrid](https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid) | Hybrid model to predict future price correlation coefficients of two assets. | 8/5/18 2:13 | 10/1/18 11:25 | 218.0 |  | :star:x3 |
-| [LTSM Recurrent](https://github.com/VivekPa/AIAlpha) | OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. | 10/7/18 3:58 | 8/3/19 9:00 | 1198.0 |  | :star:x4 |
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diff --git a/generated_wiki/Derivatives and Hedging.md b/generated_wiki/Derivatives and Hedging.md
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-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-----------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:-----------------|:-------------------------------------------------------------------|:------------|
-| [Computational Derivatives](https://github.com/chenbowen184/Computational_Finance) | Projects focusing on investigating simulations and computational techniques applied in finance. | 1/29/18 5:01 | 8/2/18 5:56 | 17.0 |  | |
-| [Delta Hedging](https://github.com/RobinsonGarcia/delta-hedging) | Advanced derivatives. | 3/2/18 23:53 | 7/17/18 23:32 | 3.0 |  | |
-| [Options Risk Measures](https://github.com/wanglouis49/risk_estimation) | Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling). | 4/29/16 3:51 | 1/16/18 1:24 | 1.0 |  | |
-| [Derivatives Python](https://github.com/yhilpisch/dawp/tree/master/python36) | Derivative analytics with Python. | 7/9/15 12:27 | 2/22/21 13:29 | 387.0 |  | |
-| [Options](https://github.com/PHBS/2018.M1.ASP/tree/master/py) | Black Scholes and Copula. | nan | nan | nan |  | |
-| [Option Strategies](https://github.com/rstreppa/valuation-OptionStrategies) | Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations. | 5/22/18 18:27 | 5/22/18 18:30 | 2.0 |  | |
-| [Black Scholes](https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb) | Options pricing. | 12/9/17 18:50 | 7/9/18 9:48 | 1.0 |  | |
-| [Hull White](https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb) | Callable Bond, Hull White. | 6/6/18 22:06 | 6/6/18 22:27 | 4.0 |  | |
-| [Reinforcement Learning](https://github.com/FinTechies/HedgingRL) | Hedging portfolios with reinforcement learning. | 4/21/17 10:58 | 8/2/17 21:41 | 16.0 |  | |
-| [Volatility and Variance Derivatives](https://github.com/yhilpisch/lvvd/tree/master/lvvd) | Volatility derivatives analytics. | 10/21/16 4:12 | 2/22/21 13:32 | 78.0 |  | |
-| [Options](https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D) | Introduction to options. | 7/28/17 15:48 | 3/17/21 17:17 | 328.0 |  | |
-| [Derivative Markets](https://github.com/broughtj/Fin6470/tree/master/Notebooks) | The economics of futures, futures, options, and swaps. | 2/9/16 5:30 | 3/18/21 3:47 | 8.0 |  | |
-| [Derman](https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb) | Binomial tree for American call. | 5/18/18 18:08 | 9/21/18 19:59 | 1.0 |  | |
\ No newline at end of file
diff --git a/generated_wiki/Extended Research.md b/generated_wiki/Extended Research.md
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index e7cc949..0000000
--- a/generated_wiki/Extended Research.md
+++ /dev/null
@@ -1,26 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-----------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:-----------------|:-------------------------------------------------------------------|:------------|
-| [Real Estate Property Fraud](https://github.com/aviroop1/Real_Estate_Property_Fraud) | Unsupervised fraud detection model that can identify likely candidates of fraud. | nan | nan | nan |  | |
-| [HFT](https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy) | High frequency trading. | 7/21/16 5:14 | 2/14/17 16:47 | 742.0 |  | |
-| [Deep Portfolio](https://github.com/DLColumbia/DL_forFinance) | Deep learning for finance Predict volume of bonds. | 5/8/18 19:34 | 5/9/18 15:39 | 27.0 |  | |
-| [NLP Finance Papers](https://github.com/chenbowen184/Research_Documents_Curation_with_NLP) | Curating quantitative finance papers using machine learning. | 10/11/18 20:32 | 12/24/18 23:27 | 8.0 |  | |
-| [Simulation](https://github.com/chenbowen184/Computational_Finance) | Investigating simulations as part of computational finance. | 1/29/18 5:01 | 8/2/18 5:56 | 17.0 |  | |
-| [Commodity](https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb) | Commodity influence over Brazilian stocks. | nan | nan | nan |  | |
-| [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. | 1/4/19 12:30 | 2/18/19 9:55 | 25.0 |  | |
-| [Currency PCA](https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb) | Forex spots PCA. | 3/12/19 21:11 | 3/12/19 22:09 | 3.0 |  | |
-| [Backtests](https://github.com/AlgoTraders/stock-analysis-engine) | Trading data and algorithms. | 9/16/18 20:00 | 9/5/20 13:01 | 613.0 |  | |
-| [High Frequency](https://github.com/cswaney/prickle) | A Python toolkit for high-frequency trade research. | 7/6/16 20:32 | 6/9/18 10:53 | 24.0 |  | |
-| [Critical Transitions](https://github.com/ryanholbrook/critical-transitions) | Detecting critical transitions in financial networks with topological data analysis. | 1/22/19 10:59 | 3/12/19 18:35 | 10.0 |  | |
-| [Liquidity and Momentum](https://github.com/mrefermat/quant_finance) | Various factors and portfolio constructions. | 8/11/18 22:59 | 11/12/19 4:49 | 31.0 |  | |
-| [Applied Corporate Finance](https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance) | Studies the empirical behaviours in stock market. | 1/29/18 5:14 | 7/19/18 6:25 | 8.0 |  | |
-| [M&A](https://github.com/atulram/Finance-and-Stocks) | Mergers and Acquisitions. | 1/19/19 18:16 | 2/18/19 16:57 | 3.0 |  | |
-| [Life-cycle](https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb) | Company life cycle. | 1/19/19 18:16 | 2/18/19 16:57 | 3.0 |  | |
-| [Computational Finance](https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance) | Applied Computational Economics and Finance. | 8/27/17 3:46 | 8/26/17 4:26 | 12.0 |  | |
-| [Bayesian Finance](https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb) | Notebook PyMC3 implementation. | 8/28/18 14:45 | 8/6/20 22:03 | 229.0 |  | |
-| [Corporate Finance](https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance) | Basic corporate finance. | 9/9/17 3:35 | 9/9/17 23:04 | 9.0 |  | |
-| [Mathematical Finance](https://github.com/Auquan/Tutorials) | Notebooks for math and financial tutorials. | 1/21/17 11:24 | 8/1/20 17:03 | 661.0 |  | |
-| [Behavioural Economics](https://github.com/pcmichaud/notebooks) | Behavioural Economics and Finance Python Notebooks. | 12/20/18 0:21 | 3/26/19 11:51 | 9.0 |  | |
-| [Financial Economics](https://github.com/rsvp/fecon235/tree/master/nb) | Financial Economics Models. | 11/9/14 4:49 | 12/3/18 16:30 | 709.0 |  | |
-| [Economic Foundations](https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations) | Basic economic models. | 5/25/17 2:27 | 6/30/17 3:53 | 2.0 |  | |
-| [Finance Graph Theory](https://github.com/AvijitGhosh82/Finance_Graph_Theory) | Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents. | 8/2/18 2:48 | 3/16/19 18:39 | 17.0 |  | |
-| [Market Crash Prediction](https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb) | Predicting market crashes using an LPPL model. | 1/24/19 13:37 | 2/13/19 16:48 | 1.0 |  | |
\ No newline at end of file
diff --git a/generated_wiki/Factor and Risk Analysis.md b/generated_wiki/Factor and Risk Analysis.md
deleted file mode 100644
index 1174632..0000000
--- a/generated_wiki/Factor and Risk Analysis.md
+++ /dev/null
@@ -1,16 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:--------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:------------------|:-------------------------------------------------------------------|:------------|
-| [Risk and Return](https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials) | Riskiness of portfolios and assets. | 9/12/17 13:35 | 8/6/20 12:35 | 139.0 |  | |
-| [Risk Basic](https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb) | Active portfolio risk management . | 5/10/16 11:03 | 5/17/16 3:44 | 31.0 |  | |
-| [Quant Finance](https://github.com/mrefermat/quant_finance) | General quant repository. | 8/11/18 22:59 | 11/12/19 4:49 | 31.0 |  | |
-| [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. | 8/7/17 14:44 | 8/8/17 22:52 | 4.0 |  | |
-| [CAPM](https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb) | Expected returns using CAPM. | 5/10/16 11:03 | 5/17/16 3:44 | 31.0 |  | |
-| [Factor Analysis](https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb) | Factor analysis for mutual funds. | 3/13/18 7:39 | 3/13/18 7:42 | 3.0 |  | |
-| [Factor Analysis](https://github.com/alpha-miner/alpha-mind/tree/master/notebooks) | Factor strategy notebooks. | 5/1/17 7:36 | 2/9/21 9:36 | 171.0 |  | |
-| [Statistical Finance](https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments) | Various financial experiments. | 10/4/15 9:10 | 3/28/20 18:33 | 21.0 |  | |
-| [Convex Optimisation](https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb) | Convex Optimization for Finance. | 6/26/18 20:36 | 10/22/19 21:56 | 17.0 |  | |
-| [VaR](https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb) | Value-at-risk calculations. | 11/15/16 19:24 | 1/14/17 21:19 | 9.0 |  | |
-| [Python for Finance](https://github.com/yhilpisch/py4fi/tree/master/jupyter36) | Various financial notebooks. | 12/15/14 11:23 | 7/10/18 6:38 | 1294.0 |  | |
-| [Performance Analysis](https://github.com/quantopian/alphalens) | Performance analysis of predictive (alpha) stock factors. | 6/3/16 21:49 | 4/27/20 18:40 | 1835.0 |  | |
-| [Pyfolio](https://github.com/quantopian/pyfolio) | Portfolio and risk analytics in Python. | 6/1/15 15:31 | 2/28/20 17:30 | 3633.0 |  | |
-| [VaR GaN](https://github.com/hamaadshah/market_risk_gan_keras) | Estimate Value-at-Risk for market risk management using Keras and TensorFlow. | 8/6/18 16:09 | 11/22/20 19:02 | 41.0 |  | |
\ No newline at end of file
diff --git a/generated_wiki/Fixed Income.md b/generated_wiki/Fixed Income.md
deleted file mode 100644
index adf9612..0000000
--- a/generated_wiki/Fixed Income.md
+++ /dev/null
@@ -1,5 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------|:-------------------------|:-------------------------|:---------------|:-------------------------------------------------------------------|:------------|
-| [Vasicek](https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb) | Bootstrapping and interpolation. | 7/18/18 19:26 | 7/18/18 19:34 | 3.0 |  | |
-| [Corporate Bonds](https://github.com/ishank011/gs-quantify-bond-prediction) | Predicting the buying and selling volume of the corporate bonds. | 9/27/17 19:57 | 9/27/17 20:00 | 7.0 |  | |
-| [Binomial Tree](https://github.com/hy-lei/math-finance-exercise) | Utility functions in fixed income securities. | 2/2/19 8:44 | 5/3/19 17:16 | 1.0 |  | |
\ No newline at end of file
diff --git a/generated_wiki/Other Models.md b/generated_wiki/Other Models.md
deleted file mode 100644
index b9a8862..0000000
--- a/generated_wiki/Other Models.md
+++ /dev/null
@@ -1,8 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-----------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------|:--------------------------|:-------------------------|:------------------|:-------------------------------------------------------------------|:------------|
-| [Trend Following](http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html) | A futures trend following portfolio investment strategy. | nan | nan | nan |  | |
-| [Mixture Models I](https://github.com/BlackArbsCEO/Mixture_Models) | Mixture models to predict market bottoms. | 3/20/17 18:54 | 4/25/17 23:35 | 31.0 |  | |
-| [Mixture Models II](https://github.com/BlackArbsCEO/mixture_model_trading_public) | Mixture models and stock trading. | 12/11/17 17:05 | 5/13/20 23:50 | 166.0 |  | |
-| [Fundamental LT Forecasts](https://github.com/Hvass-Labs/FinanceOps) | Research in investment finance for long term forecasts. | 7/22/18 8:14 | 2/17/21 14:39 | 379.0 |  | |
-| [Scikit-learn Stock Prediction](https://github.com/robertmartin8/MachineLearningStocks) | Using python and scikit-learn to make stock predictions. | 2/12/17 4:50 | 2/4/21 3:48 | 919.0 |  | |
-| [Short-Term Movement Cues](https://github.com/anfederico/Clairvoyant) | Identify social/historical cues for short term stock movement. | 9/12/16 18:38 | 8/29/18 20:27 | 2157.0 |  | |
\ No newline at end of file
diff --git a/generated_wiki/Personal Papers.md b/generated_wiki/Personal Papers.md
deleted file mode 100644
index c71154c..0000000
--- a/generated_wiki/Personal Papers.md
+++ /dev/null
@@ -1,6 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|:---------------|:---------------|:---------------|:-------------------------------------------------------------------|:------------|
-| [Machine Learning in Asset Management](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952) | nan | nan | nan | nan |  | |
-| [Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies](https://jfds.pm-research.com/content/2/1/10) | nan | nan | nan | nan |  | |
-| [Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization](https://jfds.pm-research.com/content/2/2/17) | nan | nan | nan | nan |  | |
-| [Financial Event Prediction using Machine Learning](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555) | nan | nan | nan | nan |  | |
\ No newline at end of file
diff --git a/generated_wiki/Portfolio Selection and Optimisation.md b/generated_wiki/Portfolio Selection and Optimisation.md
deleted file mode 100644
index e781658..0000000
--- a/generated_wiki/Portfolio Selection and Optimisation.md
+++ /dev/null
@@ -1,13 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:--------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:------------------|:-------------------------------------------------------------------|:------------|
-| [PyPortfolioOpt](https://github.com/robertmartin8/PyPortfolioOpt) | Financial portfolio optimisation, including classical efficient frontier and advanced methods. | 5/29/18 13:30 | 2/25/21 13:01 | 1865.0 |  | |
-| [DeepDow](https://github.com/jankrepl/deepdow) | Portfolio optimization with deep learning. | 2/2/20 8:46 | 2/16/21 18:50 | 303.0 |  | |
-| [Modern Portfolio Theory](https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb) | Universal portfolios; modern portfolio theory. | nan | nan | nan |  | |
-| [OLMAR Algorithm](https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb) | Relative importance of each component of the OLMAR algorithm. | 7/26/16 16:20 | 12/30/16 11:40 | 6.0 |  | |
-| [Online Portfolio Selection](https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb) | ****Comparing OLPS algorithms on a diversified set of ETFs. | nan | nan | nan |  | |
-| [401K Portfolio Optimisation](https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb) | Portfolio analyses and optimisation for 401K. | 8/1/18 19:48 | 9/5/19 11:18 | 14.0 |  | |
-| [Policy Gradient Portfolio](https://github.com/ZhengyaoJiang/PGPortfolio) | A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. | 11/12/17 16:08 | 5/9/19 9:50 | 1274.0 |  | |
-| [Deep Portfolio Theory](https://github.com/tcloaa/Deep-Portfolio-Theory) | Autoencoder framework for portfolio selection. | 2/10/17 9:03 | 3/8/18 16:47 | 104.0 |  | |
-| [Efficient Frontier](https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb) | Modern Portfolio Theory. | 2/17/18 8:19 | 2/27/18 13:16 | 104.0 |  | |
-| [Reinforcement Learning](https://github.com/filangel/qtrader) | Reinforcement Learning for Portfolio Management. | 10/7/17 9:14 | 6/26/18 9:22 | 364.0 |  | |
-| [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. | 11/16/18 12:20 | 7/4/19 1:41 | 229.0 |  | |
\ No newline at end of file
diff --git a/generated_wiki/Reinforcement Learning.md b/generated_wiki/Reinforcement Learning.md
deleted file mode 100644
index ce0c905..0000000
--- a/generated_wiki/Reinforcement Learning.md
+++ /dev/null
@@ -1,9 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:------------------|:-------------------------------------------------------------------|:------------|
-| [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. | 5/18/17 16:47 | 5/18/17 16:56 | 241.0 |  | |
-| [RL II](https://github.com/deependersingla/deep_trader) | reinforcement learning on stock market and agent tries to learn trading. | 6/11/16 7:27 | 1/22/18 14:35 | 1340.0 |  | |
-| [RL](https://github.com/kh-kim/stock_market_reinforcement_learning) | OpenGym with Deep Q-learning and Policy Gradient. | 10/4/16 14:42 | 12/23/16 7:34 | 712.0 |  | |
-| [RL III](https://github.com/samre12/deep-trading-agent) | Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. | 9/21/17 17:05 | 4/13/18 16:33 | 575.0 |  | |
-| [RL IV](https://github.com/jjakimoto/DQN) | Reinforcement Learning for finance. | 10/21/16 2:47 | 4/7/17 8:11 | 140.0 |  | |
-| [RL V](https://github.com/gstenger98/rl-finance) | Building an Agent to Trade with Reinforcement Learning. | 1/16/19 0:43 | 3/19/20 20:28 | 32.0 |  | |
-| [RL Trading](https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW) | A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. | nan | nan | nan |  | |
\ No newline at end of file
diff --git a/generated_wiki/Textual.md b/generated_wiki/Textual.md
deleted file mode 100644
index 8bcbf81..0000000
--- a/generated_wiki/Textual.md
+++ /dev/null
@@ -1,11 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:-----------------|:-------------------------------------------------------------------|:------------|
-| [Fund classification](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb) | Fund classification using text mining and NLP. | 4/16/18 22:18 | 6/7/18 22:01 | 3.0 |  | |
-| [Financial Sentiment Analysis](https://github.com/EricHe98/Financial-Statements-Text-Analysis) | Sentiment, distance and proportion analysis for trading signals. | 6/23/17 0:05 | 1/26/19 3:35 | 47.0 |  | |
-| [NLP Event](https://github.com/yuriak/DLQuant) | Applying Deep Learning and NLP in Quantitative Trading. | 7/2/18 23:50 | 1/31/19 14:08 | 68.0 |  | |
-| [Financial Statement Sentiment](https://github.com/MAydogdu/TextualAnalysis) | Extracting sentiment from financial statements using neural networks. | 6/4/18 20:54 | 6/4/18 20:56 | 7.0 |  | |
-| [Extensive NLP](https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb) | Comprehensive NLP techniques for accounting research. | 10/25/17 7:10 | 6/5/20 3:28 | 73.0 |  | |
-| [Accounting Anomalies](https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb) | Using deep-learning frameworks to identify accounting anomalies. | 5/24/17 12:36 | 8/7/19 21:47 | 106.0 |  | |
-| [Buzzwords](https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds) | Return performance and mutual fund selection. | 2/4/18 21:51 | 2/4/18 21:57 | 1.0 |  | |
-| [Earning call transcripts](https://github.com/lin882/WebAnalyticsProject) | Correlation between mutual fund investment decision and earning call transcripts. | 12/30/17 8:56 | 1/11/18 2:11 | 3.0 |  | |
-| [NLP](https://github.com/toamitesh/NLPinFinance) | This project assembles a lot of NLP operations needed for finance domain. | nan | nan | nan |  | |
\ No newline at end of file
diff --git a/generated_wiki/Unsupervised.md b/generated_wiki/Unsupervised.md
deleted file mode 100644
index e067b79..0000000
--- a/generated_wiki/Unsupervised.md
+++ /dev/null
@@ -1,8 +0,0 @@
-| repo | comment | created_at | last_commit | star_count | repo_status | rating |
-|:-------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------|:-------------------------|:-------------------------|:----------------|:-------------------------------------------------------------------|:------------|
-| [PCA Pairs Trading](https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading) | PCA, Factor Returns, and trading strategies. | nan | nan | nan |  | |
-| [Industry Clustering](https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries) | Clustering of industries. | 7/21/17 2:12 | 7/23/17 2:53 | 4.0 |  | |
-| [Pairs Trading](https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb) | Finding pairs with cluster analysis. | 9/5/17 19:19 | 9/27/17 20:42 | 78.0 |  | |
-| [Industry Clustering](https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries) | Project to cluster industries according to financial attributes. | 7/21/17 2:12 | 7/23/17 2:53 | 4.0 |  | |
-| [VRA Stock Embedding](https://github.com/ml-hongkong/stock2vec) | Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history. | 6/21/17 4:47 | 6/21/17 4:51 | 32.0 |  | |
-| [Fund Clusters](https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb) | Data exploration of fund clusters. | 4/16/18 22:18 | 6/7/18 22:01 | 3.0 |  | |
\ No newline at end of file
diff --git a/wiki_gen.py b/wiki_gen.py
index 9b65210..b371e72 100644
--- a/wiki_gen.py
+++ b/wiki_gen.py
@@ -47,9 +47,11 @@ def generate_wiki_per_category(output_path):
formatted_df['repo_status'] = formatted_df['repo_status'].apply(lambda x: get_wiki_status_color(x))
formatted_df['rating'] = formatted_df['rating'].apply(lambda x: get_wiki_rating(x))
- output_path_full = os.path.join(output_path, '{}.md'.format(category))
+ clean_category_name = category.lower().replace(' ', '_')
+ output_path_full = os.path.join(output_path, '{}.md'.format(clean_category_name))
with open(output_path_full, 'w') as f:
f.write(formatted_df.to_markdown(index=False))
+ print('wiki generated in [{}]'.format(output_path_full))
if __name__ == '__main__':