financial-machine-learning/raw_data/url_list.csv

1	name	url	comment	category	last_update	star_count	fork_count	contributors_count
2	Deep Learning	https://github.com/keon/deepstock	Technical experimentations to beat the stock market using deep learning.	Deep Learning	2021-03-24 14:45:00	427.0	153.0	2.0
3	Deep Learning II	https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks	Tensorflow Regression.	Deep Learning	2021-03-21 06:53:56	174.0	68.0	1.0
4	Deep Learning III	https://github.com/Rachnog/Deep-Trading	Algorithmic trading with deep learning experiments.	Deep Learning	2021-03-26 06:28:38	1262.0	675.0	1.0
5	Deep Learning IV	https://github.com/achillesrasquinha/bulbea	Bulbea: Deep Learning based Python Library.	Deep Learning	2021-03-28 15:58:19	1448.0	416.0	1.0
6	LTSM GRU	https://github.com/RajatHanda/Finance-Forecasting	Stock Market Forecasting using LSTM\GRU.	Deep Learning	2021-02-28 16:07:03	10.0	6.0	1.0
7	LTSM Recurrent	https://github.com/VivekPa/AIAlpha	OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.	Deep Learning	2021-03-27 20:52:57	1195.0	370.0	2.0
8	ARIMA-LTSM Hybrid	https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid	Hybrid model to predict future price correlation coefficients of two assets.	Deep Learning	2021-03-16 04:35:29	218.0	83.0	1.0
9	Neural Network	https://github.com/VivekPa/IntroNeuralNetworks	Neural networks to predict stock prices.	Deep Learning	2021-03-26 01:22:42	487.0	177.0	2.0
10	AI Trading	https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md	AI to predict stock market movements.	Deep Learning	2021-03-29 14:35:26	2852.0	1379.0	1.0
11	RL Trading	https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW	A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.	Reinforcement Learning
12	RL	https://github.com/kh-kim/stock_market_reinforcement_learning	OpenGym with Deep Q-learning and Policy Gradient.	Reinforcement Learning	2021-03-28 22:14:59	712.0	299.0	1.0
13	RL II	https://github.com/deependersingla/deep_trader	reinforcement learning on stock market and agent tries to learn trading.	Reinforcement Learning	2021-03-29 11:10:37	1340.0	490.0	3.0
14	RL III	https://github.com/samre12/deep-trading-agent	Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.	Reinforcement Learning	2021-03-29 01:02:47	575.0	204.0	1.0
15	RL IV	https://github.com/jjakimoto/DQN	Reinforcement Learning for finance.	Reinforcement Learning	2021-03-25 19:14:20	140.0	55.0	1.0
16	RL V	https://github.com/gstenger98/rl-finance	Building an Agent to Trade with Reinforcement Learning.	Reinforcement Learning	2021-01-03 04:36:11	32.0	7.0	5.0
17	Pair Trading RL	https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading	Using deep actor-critic model to learn best strategies in pair trading.	Reinforcement Learning	2021-03-27 02:19:29	241.0	114.0	1.0
18	Mixture Models I	https://github.com/BlackArbsCEO/Mixture_Models	Mixture models to predict market bottoms.	Other Models	2021-03-02 19:44:01	31.0	31.0	1.0
19	Mixture Models II	https://github.com/BlackArbsCEO/mixture_model_trading_public	Mixture models and stock trading.	Other Models	2021-03-12 13:21:17	166.0	73.0	1.0
20	Scikit-learn Stock Prediction	https://github.com/robertmartin8/MachineLearningStocks	Using python and scikit-learn to make stock predictions.	Other Models	2021-03-28 03:33:04	918.0	343.0	2.0
21	Fundamental LT Forecasts	https://github.com/Hvass-Labs/FinanceOps	Research in investment finance for long term forecasts.	Other Models	2021-03-21 19:26:51	379.0	126.0	1.0
22	Short-Term Movement Cues	https://github.com/anfederico/Clairvoyant	Identify social/historical cues for short term stock movement.	Other Models	2021-03-28 16:31:16	2157.0	677.0	1.0
23	Trend Following	http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html	A futures trend following portfolio investment strategy.	Other Models
24	Advanced ML	https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises	Exercises too Financial Machine Learning (De Prado).	Data Processing Techniques and Transformations	2021-03-29 01:03:13	954.0	434.0	4.0
25	Advanced ML II	https://github.com/hudson-and-thames/research	More implementations of Financial Machine Learning (De Prado).	Data Processing Techniques and Transformations
26	Distribution Characteristic Optimisation	https://github.com/VivekPa/OptimalPortfolio	Extends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.	Portfolio Selection and Optimisation	2021-03-18 22:35:10	229.0	82.0	3.0
27	Reinforcement Learning	https://github.com/filangel/qtrader	Reinforcement Learning for Portfolio Management.	Portfolio Selection and Optimisation	2021-03-29 03:47:07	364.0	150.0	1.0
28	Efficient Frontier	https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb	Modern Portfolio Theory.	Portfolio Selection and Optimisation	2021-03-25 03:30:48	103.0	57.0	1.0
29	PyPortfolioOpt	https://github.com/robertmartin8/PyPortfolioOpt	Financial portfolio optimisation, including classical efficient frontier and advanced methods.	Portfolio Selection and Optimisation	2021-03-29 08:19:36	1864.0	476.0	16.0
30	Policy Gradient Portfolio	https://github.com/ZhengyaoJiang/PGPortfolio	A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.	Portfolio Selection and Optimisation	2021-03-29 13:16:59	1271.0	627.0	6.0
31	Deep Portfolio Theory	https://github.com/tcloaa/Deep-Portfolio-Theory	Autoencoder framework for portfolio selection.	Portfolio Selection and Optimisation	2021-01-30 13:50:57	104.0	58.0	1.0
32	401K Portfolio Optimisation	https://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynb	Portfolio analyses and optimisation for 401K.	Portfolio Selection and Optimisation	2020-12-25 09:39:33	14.0	5.0	1.0
33	Online Portfolio Selection	https://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb	****Comparing OLPS algorithms on a diversified set of ETFs.	Portfolio Selection and Optimisation
34	OLMAR Algorithm	https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb	Relative importance of each component of the OLMAR algorithm.	Portfolio Selection and Optimisation		6.0	3.0	1.0
35	Modern Portfolio Theory	https://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynb	Universal portfolios; modern portfolio theory.	Portfolio Selection and Optimisation
36	DeepDow	https://github.com/jankrepl/deepdow	Portfolio optimization with deep learning.	Portfolio Selection and Optimisation		297.0	54.0	2.0
37	Various Risk Measures	https://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynb	Risk measures and factors for alternative and responsible investments.	Factor and Risk Analysis:		4.0	5.0	1.0
38	Pyfolio	https://github.com/quantopian/pyfolio	Portfolio and risk analytics in Python.	Factor and Risk Analysis:		3593.0	1138.0	42.0
39	Risk Basic	https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynb	Active portfolio risk management .	Factor and Risk Analysis:		31.0	18.0	1.0
40	CAPM	https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb	Expected returns using CAPM.	Factor and Risk Analysis:		31.0	18.0	1.0
41	Factor Analysis	https://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynb	Factor analysis for mutual funds.	Factor and Risk Analysis:		3.0	4.0	1.0
42	VaR GaN	https://github.com/hamaadshah/market_risk_gan_keras	Estimate Value-at-Risk for market risk management using Keras and TensorFlow.	Factor and Risk Analysis:		40.0	28.0	1.0
43	VaR	https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb	Value-at-risk calculations.	Factor and Risk Analysis:		9.0	9.0	1.0
44	Python for Finance	https://github.com/yhilpisch/py4fi/tree/master/jupyter36	Various financial notebooks.	Factor and Risk Analysis:		1288.0	787.0	1.0
45	Performance Analysis	https://github.com/quantopian/alphalens	Performance analysis of predictive (alpha) stock factors.	Factor and Risk Analysis:		1816.0	685.0	17.0
46	Quant Finance	https://github.com/mrefermat/quant_finance	General quant repository.	Factor and Risk Analysis:		30.0	15.0	1.0
47	Risk and Return	https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials	Riskiness of portfolios and assets.	Factor and Risk Analysis:		138.0	61.0	2.0
48	Convex Optimisation	https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb	Convex Optimization for Finance.	Factor and Risk Analysis:		17.0	9.0	1.0
49	Factor Analysis	https://github.com/alpha-miner/alpha-mind/tree/master/notebooks	Factor strategy notebooks.	Factor and Risk Analysis:		171.0	59.0	3.0
50	Statistical Finance	https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments	Various financial experiments.	Factor and Risk Analysis:		20.0	16.0	1.0
51	PCA Pairs Trading	https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading	PCA, Factor Returns, and trading strategies.	Unsupervised:
52	Fund Clusters	https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb	Data exploration of fund clusters.	Unsupervised:		3.0	2.0	1.0
53	VRA Stock Embedding	https://github.com/ml-hongkong/stock2vec	Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.	Unsupervised:		32.0	12.0	1.0
54	Industry Clustering	https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries	Clustering of industries.	Unsupervised:		4.0	5.0	1.0
55	Pairs Trading	https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb	Finding pairs with cluster analysis.	Unsupervised:		78.0	36.0	0.0
56	Industry Clustering	https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries	Project to cluster industries according to financial attributes.	Unsupervised:		4.0	5.0	1.0
57	NLP	https://github.com/toamitesh/NLPinFinance	This project assembles a lot of NLP operations needed for finance domain.	Textual:
58	Earning call transcripts	https://github.com/lin882/WebAnalyticsProject	Correlation between mutual fund investment decision and earning call transcripts.	Textual:		3.0	3.0	1.0
59	Buzzwords	https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds	Return performance and mutual fund selection.	Textual:		1.0	4.0	1.0
60	Fund classification	https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb	Fund classification using text mining and NLP.	Textual:		3.0	2.0	1.0
61	NLP Event	https://github.com/yuriak/DLQuant	Applying Deep Learning and NLP in Quantitative Trading.	Textual:		66.0	30.0	1.0
62	Financial Sentiment Analysis	https://github.com/EricHe98/Financial-Statements-Text-Analysis	Sentiment, distance and proportion analysis for trading signals.	Textual:		47.0	27.0	1.0
63	Financial Statement Sentiment	https://github.com/MAydogdu/TextualAnalysis	Extracting sentiment from financial statements using neural networks.	Textual:		7.0	7.0	1.0
64	Extensive NLP	https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb	Comprehensive NLP techniques for accounting research.	Textual:		72.0	41.0	1.0
65	Accounting Anomalies	https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb	Using deep-learning frameworks to identify accounting anomalies.	Textual:		104.0	50.0	2.0
66	Options	https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D	Introduction to options.	Derivatives and Hedging:		323.0	163.0	36.0
67	Derivative Markets	https://github.com/broughtj/Fin6470/tree/master/Notebooks	The economics of futures, futures, options, and swaps.	Derivatives and Hedging:		8.0	8.0	1.0
68	Black Scholes	https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb	Options pricing.	Derivatives and Hedging:		1.0	2.0	0.0
69	Computational Derivatives	https://github.com/chenbowen184/Computational_Finance	Projects focusing on investigating simulations and computational techniques applied in finance.	Derivatives and Hedging:		17.0	12.0	1.0
70	Reinforcement Learning	https://github.com/FinTechies/HedgingRL	Hedging portfolios with reinforcement learning.	Derivatives and Hedging:		16.0	9.0	1.0
71	Delta Hedging	https://github.com/RobinsonGarcia/delta-hedging	Advanced derivatives.	Derivatives and Hedging:		3.0	2.0	1.0
72	Options Risk Measures	https://github.com/wanglouis49/risk_estimation	Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).	Derivatives and Hedging:		1.0	2.0	1.0
73	Derivatives Python	https://github.com/yhilpisch/dawp/tree/master/python36	Derivative analytics with Python.	Derivatives and Hedging:		383.0	297.0	1.0
74	Volatility and Variance Derivatives	https://github.com/yhilpisch/lvvd/tree/master/lvvd	Volatility derivatives analytics.	Derivatives and Hedging:		76.0	76.0	1.0
75	Options	https://github.com/PHBS/2018.M1.ASP/tree/master/py	Black Scholes and Copula.	Derivatives and Hedging:
76	Option Strategies	https://github.com/rstreppa/valuation-OptionStrategies	Valuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.	Derivatives and Hedging:		2.0	2.0	1.0
77	Derman	https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb	Binomial tree for American call.	Derivatives and Hedging:		1.0	3.0	1.0
78	Hull White	https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb	Callable Bond, Hull White.	Derivatives and Hedging:		4.0	5.0	1.0
79	Vasicek	https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb	Bootstrapping and interpolation.	Fixed Income		3.0	3.0	1.0
80	Binomial Tree	https://github.com/hy-lei/math-finance-exercise	Utility functions in fixed income securities.	Fixed Income		1.0	2.0	1.0
81	Corporate Bonds	https://github.com/ishank011/gs-quantify-bond-prediction	Predicting the buying and selling volume of the corporate bonds.	Fixed Income		7.0	5.0	1.0
82	Kiva Crowdfunding	https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb	Exploratory data analysis.	Alternative Finance		5.0	1.0	1.0
83	Venture Capital	https://github.com/julian-chan/etothex	Insight into a new founder to make data-driven investment decisions.	Alternative Finance		3.0	2.0	1.0
84	Venture Capital NN	https://github.com/tr7200/National-Culture-and-Venture-Capital-Monitoring	Cox-PH neural network predictions for VC/innovations finance research.	Alternative Finance
85	Private Equity	https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb	Valuation models.	Alternative Finance		8.0	6.0	2.0
86	VC OLS	https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb	VC regression.	Alternative Finance		2.0	1.0	1.0
87	Watch Valuation	https://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynb	Analysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.	Alternative Finance		4.0	2.0	1.0
88	Art Valuation	https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb	Art evaluation analytics.	Alternative Finance		9.0	5.0	1.0
89	Blockchain	https://github.com/nud3l/dInvest	Repository for distributed autonomous investment banking.	Alternative Finance		12.0	7.0	2.0
90	HFT	https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy	High frequency trading.	Extended Research:		733.0	331.0	1.0
91	Deep Portfolio	https://github.com/DLColumbia/DL_forFinance	Deep learning for finance Predict volume of bonds.	Extended Research:		27.0	20.0	2.0
92	Mathematical Finance	https://github.com/Auquan/Tutorials	Notebooks for math and financial tutorials.	Extended Research:		654.0	426.0	9.0
93	NLP Finance Papers	https://github.com/chenbowen184/Research_Documents_Curation_with_NLP	Curating quantitative finance papers using machine learning.	Extended Research:		8.0	9.0	1.0
94	Simulation	https://github.com/chenbowen184/Computational_Finance	Investigating simulations as part of computational finance.	Extended Research:		17.0	12.0	1.0
95	Market Crash Prediction	https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb	Predicting market crashes using an LPPL model.	Extended Research:		1.0	3.0	1.0
96	Commodity	https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb	Commodity influence over Brazilian stocks.	Extended Research:
97	Finance Graph Theory	https://github.com/AvijitGhosh82/Finance_Graph_Theory	Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.	Extended Research:		16.0	7.0	3.0
98	Real Estate Property Fraud	https://github.com/aviroop1/Real_Estate_Property_Fraud	Unsupervised fraud detection model that can identify likely candidates of fraud.	Extended Research:
99	Behavioural Economics	https://github.com/pcmichaud/notebooks	Behavioural Economics and Finance Python Notebooks.	Extended Research:		9.0	4.0	1.0
100	Bayesian Finance	https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb	Notebook PyMC3 implementation.	Extended Research:		227.0	53.0	1.0
101	Bayesian Finance I	https://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynb	Stochastic Process Calibration using Bayesian Inference & Probabilistic Programs.	Extended Research:		25.0	6.0	0.0
102	Currency PCA	https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb	Forex spots PCA.	Extended Research:		3.0	1.0	1.0
103	Backtests	https://github.com/AlgoTraders/stock-analysis-engine	Trading data and algorithms.	Extended Research:		605.0	157.0	3.0
104	High Frequency	https://github.com/cswaney/prickle	A Python toolkit for high-frequency trade research.	Extended Research:		23.0	17.0	2.0
105	Financial Economics	https://github.com/rsvp/fecon235/tree/master/nb	Financial Economics Models.	Extended Research:		708.0	273.0	2.0
106	Critical Transitions	https://github.com/ryanholbrook/critical-transitions	Detecting critical transitions in financial networks with topological data analysis.	Extended Research:		10.0	3.0	1.0
107	Economic Foundations	https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations	Basic economic models.	Extended Research:		2.0	3.0	1.0
108	Corporate Finance	https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance	Basic corporate finance.	Extended Research:		9.0	4.0	1.0
109	Applied Corporate Finance	https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance	Studies the empirical behaviours in stock market.	Extended Research:		8.0	9.0	1.0
110	M&A	https://github.com/atulram/Finance-and-Stocks	Mergers and Acquisitions.	Extended Research:		3.0	3.0	1.0
111	Life-cycle	https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb	Company life cycle.	Extended Research:		3.0	3.0	1.0
112	Computational Finance	https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance	Applied Computational Economics and Finance.	Extended Research:		12.0	13.0	1.0
113	Liquidity and Momentum	https://github.com/mrefermat/quant_finance	Various factors and portfolio constructions.	Extended Research:		30.0	15.0	1.0
114	Mathematical Finance	https://github.com/yadongli/nyumath2048	NYU Math-GA 2048: Scientific Computing in Finance.	Courses		69.0	63.0	6.0
115	Algo Trading	https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading	Intro to algo trading.	Courses		64.0	25.0	1.0
116	Python for Finance	https://github.com/siaen/python_finance_course	CEU python for finance course material.	Courses		14.0	15.0	4.0
117	Handson Python for Finance	https://github.com/PacktPublishing/Hands-on-Python-for-Finance	Hands-on Python for Finance published by Packt.	Courses		118.0	106.0	3.0
118	Machine Learning for Trading	https://github.com/stefan-jansen/machine-learning-for-trading	Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.	Courses		2974.0	985.0	7.0
119	ML Specialisation	https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization	Machine Learning in Finance.	Courses		32.0	31.0	1.0
120	Risk Management	https://github.com/andrey-lukyanov/Risk-Management	Finance risk engagement course resources.	Courses		6.0	5.0	3.0
121	Basic Investments	https://github.com/SeanMcOwen/FinanceAndPython.com-Investments	Basic investment tools in python.	Courses		8.0	5.0	1.0
122	Basic Derivatives	https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives	Basic forward contracts and hedging.	Courses		3.0	4.0	1.0
123	Basic Finance	https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance	Source code notebooks basic finance applications.	Courses		9.0	8.0	1.0
124	Capital Markets Data	https://www.capitalmarketsdata.com/		Data
125	Employee Count SEC Filings	https://github.com/healthgradient/sec_employee_information_extraction		Data		10.0	2.0	1.0
126	SEC Parsing	https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb		Data		9.0	6.0	1.0
127	Open Edgar	https://github.com/LexPredict/openedgar		Data		164.0	62.0	6.0
128	EDGAR	https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb		Data		11.0	10.0	1.0
129	IRS	http://social-metrics.org/sox/		Data
130	Rating Industries	http://www.ratingshistory.info/		Data
131	Web Scraping (FirmAI)	https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data		Data		575.0	183.0	2.0
132	Financial Corporate	http://raw.rutgers.edu/Corporate%20Financial%20Data.html		Data
133	Non-financial Corporate	http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html		Data
134	http://finance.yahoo.com/	http://finance.yahoo.com/		Data
135	https://fred.stlouisfed.org/	https://fred.stlouisfed.org/		Data
136	https://stooq.com	https://stooq.com		Data
137	https://github.com/timestocome/StockMarketData	https://github.com/timestocome/StockMarketData		Data		6.0	6.0	1.0
138	Financial Event Prediction using Machine Learning	https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555		Personal Papers
139	Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies	https://jfds.pm-research.com/content/2/1/10		Personal Papers
140	Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization	https://jfds.pm-research.com/content/2/2/17		Personal Papers
141	Machine Learning in Asset Management	https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952		Personal Papers
142	NYU FRE	https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering	Finance and Risk Engineering (NYU Tandon)	Colleges, Centers and Departments
143	Cornell University	https://www.cornell.edu/		Colleges, Centers and Departments
144	NYU Courant	https://cims.nyu.edu/	Courant Institute of Mathematical Sciences, New York University	Colleges, Centers and Departments
145	Oxford Man	https://www.oxford-man.ox.ac.uk/	Oxford-Man Institute of Quantitative Finance	Colleges, Centers and Departments
146	Stanford Advanced Financial Technologies	https://fintech.stanford.edu/	Stanford Advanced Financial Technologies Laboratory	Colleges, Centers and Departments
147	Berkeley Lab CIFT	https://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/		Colleges, Centers and Departments