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financial-machine-learning/raw_data/url_list.csv
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2021-04-06 19:24:57 -04:00

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1nameurlcommentcategorylast_updatestar_countfork_countcontributors_countcreated_atlast_commitrepo_pathrepo_statusratingfinml_added_date
2Venture Capital NNhttps://github.com/tr7200/National-Culture-and-Venture-Capital-MonitoringCox-PH neural network predictions for VC/innovations finance research.Alternative Financetr7200/National-Culture-and-Venture-Capital-Monitoring
3Private Equityhttps://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynbValuation models.Alternative Finance11/26/20 3:348621/27/16 21:133/14/16 20:03TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquityinactive
4VC OLShttps://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynbVC regression.Alternative Finance10/6/20 20:562113/29/18 23:313/29/18 23:33fionawhitefield/venture-capital-olsinactive
5Watch Valuationhttps://github.com/alporter08/Luxury-Watch-Valuation/blob/master/Luxury-Watch-Valuation.ipynbAnalysis of luxury watch data to classify whether a certain model is likely to be over-or undervalued.Alternative Finance1/14/21 22:414212/8/17 18:394/27/17 22:55alporter08/Luxury-Watch-Valuationinactive
6Art Valuationhttps://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynbArt evaluation analytics.Alternative Finance2/26/21 12:1095112/11/14 0:2512/12/14 21:25ahmedhosny/theGreenCanvasinactive
7Blockchainhttps://github.com/nud3l/dInvestRepository for distributed autonomous investment banking.Alternative Finance2/6/21 7:3812729/5/16 19:124/24/17 10:48nud3l/dInvestinactive
8Venture Capitalhttps://github.com/julian-chan/etothexInsight into a new founder to make data-driven investment decisions.Alternative Finance10/6/20 20:5632112/4/17 8:5912/13/17 5:35julian-chan/etothexinactive
9Kiva Crowdfundinghttps://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynbExploratory data analysis.Alternative Finance2/19/21 13:405112/27/18 16:462/13/19 0:15CJL89/Kiva-Crowdfundinginactive
10Oxford Manhttps://www.oxford-man.ox.ac.uk/Oxford-Man Institute of Quantitative FinanceColleges Centers and Departments
11Berkeley Lab CIFThttps://cs.lbl.gov/news-media/news/news-archive/2010/berkeley-lab-launches-new-center-for-innovative-financial-technology/Colleges Centers and Departments
12NYU Couranthttps://cims.nyu.edu/Courant Institute of Mathematical Sciences, New York UniversityColleges Centers and Departments
13Cornell Universityhttps://www.cornell.edu/Colleges Centers and Departments
14NYU FREhttps://engineering.nyu.edu/academics/departments/finance-and-risk-engineeringFinance and Risk Engineering (NYU Tandon)Colleges Centers and Departments
15Stanford Advanced Financial Technologieshttps://fintech.stanford.edu/Stanford Advanced Financial Technologies LaboratoryColleges Centers and Departments
16Handson Python for Financehttps://github.com/PacktPublishing/Hands-on-Python-for-FinanceHands-on Python for Finance published by Packt.Courses4/1/21 5:4811910738/20/18 14:101/15/21 8:57PacktPublishing/Hands-on-Python-for-Financeactive
17Basic Financehttps://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinanceSource code notebooks basic finance applications.Courses3/31/21 2:0910815/6/17 2:396/21/17 4:04SeanMcOwen/FinanceAndPython.com-BasicFinanceinactive
18ML Specialisationhttps://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-SpecializationMachine Learning in Finance.Courses3/31/21 2:08333211/24/19 2:551/3/20 21:54Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specializationactive
19Basic Investmentshttps://github.com/SeanMcOwen/FinanceAndPython.com-InvestmentsBasic investment tools in python.Courses3/23/21 6:329518/2/17 21:528/17/17 3:24SeanMcOwen/FinanceAndPython.com-Investmentsinactive
20Risk Managementhttps://github.com/andrey-lukyanov/Risk-ManagementFinance risk engagement course resources.Courses11/12/20 0:4965310/3/18 16:2612/13/18 8:04andrey-lukyanov/Risk-Managementinactive
21Basic Derivativeshttps://github.com/SeanMcOwen/FinanceAndPython.com-DerivativesBasic forward contracts and hedging.Courses3/31/21 2:084418/24/17 0:1110/13/17 1:32SeanMcOwen/FinanceAndPython.com-Derivativesinactive
22Mathematical Financehttps://github.com/yadongli/nyumath2048NYU Math-GA 2048: Scientific Computing in Finance.Courses1/14/21 18:01696361/25/15 21:103/25/20 4:24yadongli/nyumath2048active
23Machine Learning for Tradinghttps://github.com/stefan-jansen/machine-learning-for-tradingNotebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading.Courses4/4/21 1:483717116575/9/18 12:333/19/21 14:10stefan-jansen/machine-learning-for-tradingactive
24Algo Tradinghttps://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_TradingIntro to algo trading.Courses3/12/21 11:026425110/29/17 20:341/22/19 6:56JCreeks/Machine-Learning-in-Financeinactive
25Python for Financehttps://github.com/siaen/python_finance_courseCEU python for finance course material.Courses3/31/21 2:081615412/12/17 11:542/25/20 20:31siaen/python_finance_courseactive
26IRShttp://social-metrics.org/sox/Data
27Employee Count SEC Filingshttps://github.com/healthgradient/sec_employee_information_extractionData2/27/21 3:3310216/26/18 23:338/14/18 1:31healthgradient/sec_employee_information_extractioninactive
28EDGARhttps://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynbData1/23/21 19:22111016/11/18 22:517/10/18 18:03TiesdeKok/UW_Python_Campinactive
29Open Edgarhttps://github.com/LexPredict/openedgarData4/2/21 16:211676165/7/18 15:325/15/19 8:32LexPredict/openedgaractive
30SEC Parsinghttps://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynbData2/27/21 6:349616/16/18 14:306/16/18 17:23healthgradient/sec-doc-info-extractioninactive
31Web Scraping (FirmAI)https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/dataData3/28/21 12:4357618322/19/19 19:027/22/20 16:48firmai/business-machine-learningactive
32Capital Markets Datahttps://www.capitalmarketsdata.com/Data
33https://github.com/timestocome/StockMarketDatahttps://github.com/timestocome/StockMarketDataData3/26/21 22:357615/10/17 21:498/6/17 19:23timestocome/StockMarketDatainactive
34Non-financial Corporatehttp://raw.rutgers.edu/Non-Financial%20Corporate%20Data.htmlData
35http://finance.yahoo.com/http://finance.yahoo.com/Data
36https://stooq.comhttps://stooq.comData
37Financial Corporatehttp://raw.rutgers.edu/Corporate%20Financial%20Data.htmlData
38https://fred.stlouisfed.org/https://fred.stlouisfed.org/Data
39Rating Industrieshttp://www.ratingshistory.info/Data
40Advanced ML IIhttps://github.com/hudson-and-thames/researchMore implementations of Financial Machine Learning (De Prado).Data Processing Techniques and Transformationshudson-and-thames/research
41Advanced MLhttps://github.com/BlackArbsCEO/Adv_Fin_ML_ExercisesExercises too Financial Machine Learning (De Prado).Data Processing Techniques and Transformations4/3/21 6:1296443544/25/18 17:221/16/20 17:25BlackArbsCEO/Adv_Fin_ML_Exercisesactive
42crypto-rlhttps://github.com/sadighian/crypto-rlRetrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) [keras-rl](https://github.com/keras-rl/keras-rl) to create agents and uses [openai gym](https://gym.openai.com/) to implement POMDP (partially observable markov decision process)Deep Learning4/3/21 21:0834511216/21/18 1:0611/5/20 11:08sadighian/crypto-rlactive33/31/21 8:00
43DeepLearningInFinancehttps://github.com/sonaam1234/DeepLearningInFinanceBased on a [talk](https://towardsdatascience.com/deep-learning-in-finance-9e088cb17c03) Sonam Srivastava gave and there are two studies: 1. single timeseries return prediction using ARIMA/VAR/SVR/Deep Regression/CNN/LSTM 2. indexed portfolio construction using autoencoders i.e. replicate a index using handful of stocks. Deep Learning3/8/21 13:0926614518/21/17 16:008/21/17 17:23sonaam1234/DeepLearningInFinanceinactive33/31/21 8:00
44LTSM GRUhttps://github.com/RajatHanda/Finance-ForecastingStock Market Forecasting using LSTM\GRU.Deep Learning3/29/21 23:5911615/13/18 2:392/25/19 0:26RajatHanda/Finance-Forecastinginactive3
45Deep Learninghttps://github.com/keon/deepstockTechnical experimentations to beat the stock market using deep learning.Deep Learning3/24/21 14:45427154212/12/16 2:153/4/17 8:37keon/deepstockinactive4
46Deep Learning IIhttps://github.com/LiamConnell/deep-algotrading/tree/master/notebooksTensorflow Regression.Deep Learning3/21/21 6:531746717/12/16 12:562/16/18 2:43LiamConnell/deep-algotradinginactive3
47Neural Networkhttps://github.com/VivekPa/IntroNeuralNetworksNeural networks to predict stock prices.Deep Learning4/3/21 11:5948917729/10/18 6:3411/21/18 7:39VivekPa/IntroNeuralNetworksinactive4
48Deep Learning IVhttps://github.com/achillesrasquinha/bulbeaBulbea: Deep Learning based Python Library.Deep Learning4/2/21 1:36145141613/9/17 6:113/19/17 7:42achillesrasquinha/bulbeainactive5
49AI Tradinghttps://github.com/borisbanushev/stockpredictionai/blob/master/readme2.mdAI to predict stock market movements.Deep Learning4/3/21 21:142857137811/9/19 8:022/11/19 16:32borisbanushev/stockpredictionaiinactive5
50ARIMA-LTSM Hybridhttps://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_HybridHybrid model to predict future price correlation coefficients of two assets.Deep Learning4/2/21 15:322198318/5/18 2:1310/1/18 11:25imhgchoi/ARIMA-LSTM-hybrid-corrcoef-predictinactive3
51LTSM Recurrenthttps://github.com/VivekPa/AIAlphaOHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.Deep Learning4/3/21 10:481199371210/7/18 3:588/3/19 9:00VivekPa/AIAlphaactive4
52Deep-Reinforcement-Learning-in-Tradinghttps://github.com/saeed349/Deep-Reinforcement-Learning-in-TradingDeep reinforcement learning for trading leveraging [openai gym](https://gym.openai.com/) framework. Keras implementation of DQN DDQN (double deep Q network) and DDDQN (dueling double dqn) trained/tested on s&p 500 daily data from 2013 to 2018. approach is described in an article [here](https://www.linkedin.com/pulse/deep-reinforcement-learning-trading-saeed-rahman)Deep Learning3/31/21 10:401376615/11/18 0:5210/26/19 14:22saeed349/Deep-Reinforcement-Learning-in-Tradingactive33/31/21 8:00
53Deep Learning IIIhttps://github.com/Rachnog/Deep-TradingAlgorithmic trading with deep learning experiments.Deep Learning4/3/21 5:26126467516/18/16 18:238/7/18 15:24Rachnog/Deep-Tradinginactive5
54Stock-Prediction-Modelshttps://github.com/huseinzol05/Stock-Prediction-Modelsvery good curated list of notebooks showing deep learning + reinforcement learning models. Also contain topics on outlier detections/overbought oversold study/monte carlo simulartions/sentiment analysis from text (text storage/parsing is not detailed but it mentioned using [BERT](https://github.com/google-research/bert))Deep Learning4/3/21 20:0935991521212/18/17 10:491/5/21 10:31huseinzol05/Stock-Prediction-Modelsactive53/31/21 8:00
55RLTraderhttps://github.com/notadamking/RLTraderpredecessor to [tensortrade](https://github.com/tensortrade-org/tensortrade) uses open api [gym](https://gym.openai.com/) and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using [Optuna](https://github.com/optuna/optuna) etc.Deep Learning4/3/21 20:091304449154/27/19 18:3510/17/19 16:25notadamking/RLTraderactive53/31/21 8:00
56trading-rlhttps://github.com/Kostis-S-Z/trading-rlDeep reinforcement learning for financial trading using [gym](https://gym.openai.com/) and [keras-rl](https://github.com/keras-rl/keras-rl) on FX dataset (EURUSD) not actively maintainedDeep Learning3/31/21 16:011793824/22/19 10:039/28/20 9:07Kostis-S-Z/trading-rlinactive33/31/21 8:00
57awesome-deep-tradinghttps://github.com/cbailes/awesome-deep-tradingcurated 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 cbailesDeep Learning4/3/21 19:52541137111/26/18 3:231/1/21 9:41cbailes/awesome-deep-tradingactive43/31/21 8:00
58trading-bothttps://github.com/pskrunner14/trading-botImplementation of deep reinforcement learning using Deep Q Network (DQN). Only supports single security at the moment. Idea is roughly based [here](https://keon.github.io/deep-q-learning/) and uses tensorflow/keras. Interesting helper python libraries used here are [tqdm](https://tqdm.github.io/) for console based progress bar and [altair](https://altair-viz.github.io/) for declarative visualization in python Deep Learning4/2/21 18:4528613918/13/18 10:441/23/20 4:41pskrunner14/trading-botactive33/31/21 8:00
59Advanced-Deep-Tradinghttps://github.com/Rachnog/Advanced-Deep-Tradingnotebooks containing experiments based on Lopez de Prado book "Advances in financial machine learning". Mostly not deep learning related but rather sklearn regression models. Interesting libraries include [mlfinlab](https://github.com/hudson-and-thames/mlfinlab) for calculating return stats and [shap](https://github.com/slundberg/shap) for explaining models. Examlpe of shap can be which features are pushing the value up and and which features are pushing the value down. Also contain functions for calculating geometric brownian motion and jump diffusion functions. Deep Learning3/30/21 7:2931915822/16/19 21:1811/29/20 20:12Rachnog/Advanced-Deep-Tradingactive33/31/21 8:00
60FinRL-Libraryhttps://github.com/AI4Finance-LLC/FinRL-Librarystarted by Columbia university engineering students and designed as an end to end deep reinforcement learning library for automated trading platform. Implementation of DQN DDQN DDPG etc using PyTorch and [gym](https://gym.openai.com/) use [pyfolio](https://github.com/quantopian/pyfolio) for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for tradingDeep Learning4/4/21 1:531807433227/26/20 13:184/3/21 23:21AI4Finance-LLC/FinRL-Libraryactive53/31/21 8:00
61Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020Part of FinRL and provided code for paper [deep reinformacement learning for automated stock trading](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3690996) focuses on ensemble.Deep Learning4/3/21 10:0854724067/26/20 13:121/21/21 18:11AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020inactive43/31/21 8:00
62deep-RL-tradinghttps://github.com/golsun/deep-RL-tradingtrading game comparing RNN vs CNN vs MLP based on [paper](https://arxiv.org/abs/1803.03916)Deep Learning4/1/21 12:5123310912/25/18 17:4112/1/20 22:06golsun/deep-RL-tradingactive33/31/21 8:00
63AutomatedStockTrading-DeepQ-Learninghttps://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learningcornerstone project repo for Udacity nanodegree program [Become a machine learning engineer](https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t) and focus on trading using deep q learning. Good explanation on design choices in the reportDeep Learning3/24/21 1:111345122/23/19 12:012/25/20 18:16sachink2010/AutomatedStockTrading-DeepQ-Learningactive33/31/21 8:00
64Personaehttps://github.com/Ceruleanacg/Personaeimplementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from [rqalpha](https://github.com/ricequant/rqalpha) which is a python backtest engine and have a nice docker image to run training/testingDeep Learning3/31/21 15:38114233223/10/18 11:229/2/18 17:21Ceruleanacg/Personaeinactive53/31/21 8:00
65Deep-Reinforcement-Stock-Tradinghttps://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Tradinginspired by Q-trader a deep reinforcement learning repo for trading. Only 3 actions allowed (buy/hold/sell) and no transaction cost is implemented yet. Uses [empyrical](https://github.com/quantopian/empyrical) for portfolio statsDeep Learning4/3/21 22:501414225/19/19 22:209/27/20 19:22Albert-Z-Guo/Deep-Reinforcement-Stock-Tradingactive33/31/21 8:00
66Deep-Learning-Machine-Learning-Stockhttps://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stockcurated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may be changing over time and there's no specific way to track and upgradeDeep Learning4/4/21 1:272649419/29/18 23:383/18/21 3:16LastAncientOne/Deep-Learning-Machine-Learning-Stockactive33/31/21 8:00
67BitcoinForecasthttps://github.com/PiSimo/BitcoinForecastRNN model to predict short term price movement (in this case BTC for the next 9 minutes) [deepchart](https://pisimo.github.io/DeepChart/) is used to visualize the model Deep Learning4/3/21 8:0328812733/10/17 10:526/11/18 8:07PiSimo/BitcoinForecastinactive33/31/21 8:00
68DQN-DDPG_Stock_Tradinghttps://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Tradingmerged into FinRL library and uses [gym](https://gym.openai.com/) and implementation of DQNDeep Learning4/3/21 21:481354949/19/18 3:1711/26/20 16:58AI4Finance-LLC/DQN-DDPG_Stock_Tradinginactive33/31/21 8:00
69Dermanhttps://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynbBinomial tree for American call.Derivatives and Hedging10/6/20 20:371315/18/18 18:089/21/18 19:59rstreppa/valuation-convertibles-Goldman1994inactive
70Hull Whitehttps://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynbCallable Bond, Hull White.Derivatives and Hedging10/6/20 20:374616/6/18 22:066/6/18 22:27rstreppa/valuation-callables-HullWhiteinactive
71Derivative Marketshttps://github.com/broughtj/Fin6470/tree/master/NotebooksThe economics of futures, futures, options, and swaps.Derivatives and Hedging3/18/21 3:478812/9/16 5:303/18/21 3:47broughtj/Fin6470active
72Optionshttps://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5DIntroduction to options.Derivatives and Hedging4/4/21 0:48332165367/28/17 15:483/17/21 17:17QuantConnect/Tutorialsactive
73Volatility and Variance Derivativeshttps://github.com/yhilpisch/lvvd/tree/master/lvvdVolatility derivatives analytics.Derivatives and Hedging3/23/21 12:107877110/21/16 4:122/22/21 13:32yhilpisch/lvvdactive
74Reinforcement Learninghttps://github.com/FinTechies/HedgingRLHedging portfolios with reinforcement learning.Derivatives and Hedging1/20/21 8:1216914/21/17 10:588/2/17 21:41FinTechies/HedgingRLinactive
75Option Strategieshttps://github.com/rstreppa/valuation-OptionStrategiesValuation of Vanilla and Exotic option strategies (Butterfly, Risk Reversal etc.) with widget animations.Derivatives and Hedging2/27/21 8:502315/22/18 18:275/22/18 18:30rstreppa/valuation-OptionStrategiesinactive
76Optionshttps://github.com/PHBS/2018.M1.ASP/tree/master/pyBlack Scholes and Copula.Derivatives and HedgingPHBS/2018.M1.ASP
77Derivatives Pythonhttps://github.com/yhilpisch/dawp/tree/master/python36Derivative analytics with Python.Derivatives and Hedging3/23/21 15:3538729717/9/15 12:272/22/21 13:29yhilpisch/dawpactive
78Options Risk Measureshttps://github.com/wanglouis49/risk_estimationEfficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).Derivatives and Hedging10/6/20 20:371214/29/16 3:511/16/18 1:24wanglouis49/risk_estimationinactive
79Delta Hedginghttps://github.com/RobinsonGarcia/delta-hedgingAdvanced derivatives.Derivatives and Hedging2/27/21 8:483213/2/18 23:537/17/18 23:32RobinsonGarcia/delta-hedginginactive
80Computational Derivativeshttps://github.com/chenbowen184/Computational_FinanceProjects focusing on investigating simulations and computational techniques applied in finance.Derivatives and Hedging1/12/21 12:22171211/29/18 5:018/2/18 5:56chen-bowen/Computational_Financeinactive
81Black Scholeshttps://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynbOptions pricing.Derivatives and Hedging10/6/20 20:3612012/9/17 18:507/9/18 9:48irajwani/numerical_methods_pythoninactive
82Life-cyclehttps://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynbCompany life cycle.Extended Research12/21/20 14:423311/19/19 18:162/18/19 16:57atulram/Finance-and-Stocksinactive
83Computational Financehttps://github.com/lnsongxf/Applied_Computational_Economics_and_FinanceApplied Computational Economics and Finance.Extended Research3/7/21 17:47121318/27/17 3:468/26/17 4:26lnsongxf/Applied_Computational_Economics_and_Financeinactive
84Bayesian Financehttps://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynbNotebook PyMC3 implementation.Extended Research4/3/21 15:172315518/28/18 14:458/6/20 22:03marketneutral/alphatoolsactive
85Corporate Financehttps://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinanceBasic corporate finance.Extended Research1/16/21 19:019419/9/17 3:359/9/17 23:04SeanMcOwen/FinanceAndPython.com-CorporateFinanceinactive
86Mathematical Financehttps://github.com/Auquan/TutorialsNotebooks for math and financial tutorials.Extended Research3/31/21 18:0566242691/21/17 11:248/1/20 17:03Auquan/Tutorialsactive
87Economic Foundationshttps://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundationsBasic economic models.Extended Research10/6/20 21:012315/25/17 2:276/30/17 3:53SeanMcOwen/FinanceAndPython.com-EconomicFoundationsinactive
88Financial Economicshttps://github.com/rsvp/fecon235/tree/master/nbFinancial Economics Models.Extended Research3/29/21 8:31709273211/9/14 4:4912/3/18 16:30rsvp/fecon235inactive
89Finance Graph Theoryhttps://github.com/AvijitGhosh82/Finance_Graph_TheoryModelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.Extended Research3/28/21 2:2217738/2/18 2:483/16/19 18:39evijit/Finance_Graph_Theoryinactive
90Market Crash Predictionhttps://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynbPredicting market crashes using an LPPL model.Extended Research10/6/20 21:011311/24/19 13:372/13/19 16:48sarachmax/MarketCrashes_Predictioninactive
91M&Ahttps://github.com/atulram/Finance-and-StocksMergers and Acquisitions.Extended Research12/21/20 14:423311/19/19 18:162/18/19 16:57atulram/Finance-and-Stocksinactive
92Behavioural Economicshttps://github.com/pcmichaud/notebooksBehavioural Economics and Finance Python Notebooks.Extended Research2/3/21 7:2294112/20/18 0:213/26/19 11:51pcmichaud/notebooksinactive
93Applied Corporate Financehttps://github.com/chenbowen184/Data_Science_in_Applied_Corporate_FinanceStudies the empirical behaviours in stock market.Extended Research2/19/21 13:408911/29/18 5:147/19/18 6:25chen-bowen/Data_Science_in_Applied_Corporate_Financeinactive
94HFThttps://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-StrategyHigh frequency trading.Extended Research4/1/21 15:2774333117/21/16 5:142/14/17 16:47rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategyinactive
95Critical Transitionshttps://github.com/ryanholbrook/critical-transitionsDetecting critical transitions in financial networks with topological data analysis.Extended Research1/30/21 11:5010311/22/19 10:593/12/19 18:35ryanholbrook/critical-transitionsinactive
96Real Estate Property Fraudhttps://github.com/aviroop1/Real_Estate_Property_FraudUnsupervised fraud detection model that can identify likely candidates of fraud.Extended Researchaviroop1/Real_Estate_Property_Fraud
97Deep Portfoliohttps://github.com/DLColumbia/DL_forFinanceDeep learning for finance Predict volume of bonds.Extended Research1/12/21 11:48272025/8/18 19:345/9/18 15:39DLColumbia/DL_forFinanceinactive
98NLP Finance Papershttps://github.com/chenbowen184/Research_Documents_Curation_with_NLPCurating quantitative finance papers using machine learning.Extended Research2/27/21 6:3389110/11/18 20:3212/24/18 23:27chen-bowen/Research_Documents_Curation_with_NLPinactive
99Simulationhttps://github.com/chenbowen184/Computational_FinanceInvestigating simulations as part of computational finance.Extended Research1/12/21 12:22171211/29/18 5:018/2/18 5:56chen-bowen/Computational_Financeinactive
100Liquidity and Momentumhttps://github.com/mrefermat/quant_financeVarious factors and portfolio constructions.Extended Research3/30/21 0:09311518/11/18 22:5911/12/19 4:49mrefermat/quant_financeactive
101Bayesian Finance Ihttps://github.com/AlexIoannides/pymc-stochastic-process/blob/master/bayes_stoch_proc_calib.ipynbStochastic Process Calibration using Bayesian Inference & Probabilistic Programs.Extended Research11/28/20 3:0225601/4/19 12:302/18/19 9:55AlexIoannides/pymc-stochastic-processinactive
102Currency PCAhttps://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynbForex spots PCA.Extended Research10/26/20 0:553113/12/19 21:113/12/19 22:09shanemulqueen/python-finance-pcainactive
103Backtestshttps://github.com/AlgoTraders/stock-analysis-engineTrading data and algorithms.Extended Research4/3/21 21:1961516339/16/18 20:009/5/20 13:01AlgoTraders/stock-analysis-engineactive
104High Frequencyhttps://github.com/cswaney/prickleA Python toolkit for high-frequency trade research.Extended Research3/22/21 2:19241727/6/16 20:326/9/18 10:53cswaney/prickleinactive
105Commodityhttps://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynbCommodity influence over Brazilian stocks.Extended Researchfelipessalvatore/fin2vec
106VaR GaNhttps://github.com/hamaadshah/market_risk_gan_kerasEstimate Value-at-Risk for market risk management using Keras and TensorFlow.Factor and Risk Analysis3/20/21 21:53412818/6/18 16:0911/22/20 19:02hamaadshah/market_risk_gan_tensorflowactive
107Pyfoliohttps://github.com/quantopian/pyfolioPortfolio and risk analytics in Python.Factor and Risk Analysis4/3/21 15:5536471147426/1/15 15:312/28/20 17:30quantopian/pyfolioactive
108Performance Analysishttps://github.com/quantopian/alphalensPerformance analysis of predictive (alpha) stock factors.Factor and Risk Analysis4/2/21 19:021839693176/3/16 21:494/27/20 18:40quantopian/alphalensactive
109Python for Financehttps://github.com/yhilpisch/py4fi/tree/master/jupyter36Various financial notebooks.Factor and Risk Analysis4/3/21 11:161297792112/15/14 11:237/10/18 6:38yhilpisch/py4fiinactive
110Convex Optimisationhttps://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynbConvex Optimization for Finance.Factor and Risk Analysis11/4/20 7:1917916/26/18 20:3610/22/19 21:56ssanderson/convex-optimization-for-financeactive
111Statistical Financehttps://github.com/mrefermat/FinancePhD/tree/master/FinancialExperimentsVarious financial experiments.Factor and Risk Analysis3/30/21 0:092116110/4/15 9:103/28/20 18:33mrefermat/FinancePhDactive
112VaRhttps://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynbValue-at-risk calculations.Factor and Risk Analysis3/31/21 2:06109111/15/16 19:241/14/17 21:19willb/var-notebookinactive
113Factor Analysishttps://github.com/garvit-kudesia91/factor_analysis/blob/master/Factor%20Analysis%20of%20Mutual%20Funds.ipynbFactor analysis for mutual funds.Factor and Risk Analysis12/21/20 14:263413/13/18 7:393/13/18 7:42garvit-kudesia91/factor_analysisinactive
114Risk and Returnhttps://github.com/PyDataBlog/Python-for-Data-Science/tree/master/TutorialsRiskiness of portfolios and assets.Factor and Risk Analysis3/19/21 22:011396129/12/17 13:358/6/20 12:35PyDataBlog/Python-for-Data-Scienceactive
115Risk Basichttps://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%203%2C%20Risk.ipynbActive portfolio risk management .Factor and Risk Analysis3/1/21 13:53311815/10/16 11:035/17/16 3:44RJT1990/Active-Portfolio-Management-Notesinactive
116Factor Analysishttps://github.com/alpha-miner/alpha-mind/tree/master/notebooksFactor strategy notebooks.Factor and Risk Analysis3/12/21 22:421715935/1/17 7:362/9/21 9:36alpha-miner/alpha-mindactive
117Various Risk Measureshttps://github.com/Jorgencr/Alternative-and-Responsible-Investments/blob/master/Final_masterfile.ipynbRisk measures and factors for alternative and responsible investments.Factor and Risk Analysis11/4/20 7:044518/7/17 14:448/8/17 22:52Jorgencr/Alternative-and-Responsible-Investmentsinactive
118CAPMhttps://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynbExpected returns using CAPM.Factor and Risk Analysis3/1/21 13:53311815/10/16 11:035/17/16 3:44RJT1990/Active-Portfolio-Management-Notesinactive
119Quant Financehttps://github.com/mrefermat/quant_financeGeneral quant repository.Factor and Risk Analysis3/30/21 0:09311518/11/18 22:5911/12/19 4:49mrefermat/quant_financeactive
120Vasicekhttps://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynbBootstrapping and interpolation.Fixed Income12/10/20 21:203317/18/18 19:267/18/18 19:34RobinsonGarcia/fixed-incomeinactive
121Binomial Treehttps://github.com/hy-lei/math-finance-exerciseUtility functions in fixed income securities.Fixed Income10/6/20 20:551212/2/19 8:445/3/19 17:16hy-lei/math-finance-toolboxactive
122Corporate Bondshttps://github.com/ishank011/gs-quantify-bond-predictionPredicting the buying and selling volume of the corporate bonds.Fixed Income1/3/21 21:467519/27/17 19:579/27/17 20:00ishank011/gs-quantify-bond-predictioninactive
123Trend Followinghttp://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.htmlA futures trend following portfolio investment strategy.Other Models
124Mixture Models Ihttps://github.com/BlackArbsCEO/Mixture_ModelsMixture models to predict market bottoms.Other Models3/2/21 19:44313113/20/17 18:544/25/17 23:35BlackArbsCEO/Mixture_Modelsinactive
125Mixture Models IIhttps://github.com/BlackArbsCEO/mixture_model_trading_publicMixture models and stock trading.Other Models3/12/21 13:2116673112/11/17 17:055/13/20 23:50BlackArbsCEO/mixture_model_trading_publicactive
126Fundamental LT Forecastshttps://github.com/Hvass-Labs/FinanceOpsResearch in investment finance for long term forecasts.Other Models4/3/21 10:5938112617/22/18 8:142/17/21 14:39Hvass-Labs/FinanceOpsactive
127Scikit-learn Stock Predictionhttps://github.com/robertmartin8/MachineLearningStocksUsing python and scikit-learn to make stock predictions.Other Models4/3/21 11:2292234422/12/17 4:502/4/21 3:48robertmartin8/MachineLearningStocksactive
128Short-Term Movement Cueshttps://github.com/anfederico/ClairvoyantIdentify social/historical cues for short term stock movement.Other Models3/31/21 20:19215867619/12/16 18:388/29/18 20:27anfederico/clairvoyantinactive
129Financial Event Prediction using Machine Learninghttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555Personal Papers
130Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimizationhttps://jfds.pm-research.com/content/2/2/17Personal Papers
131Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategieshttps://jfds.pm-research.com/content/2/1/10Personal Papers
132Machine Learning in Asset Managementhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952Personal Papers
133PyPortfolioOpthttps://github.com/robertmartin8/PyPortfolioOptFinancial portfolio optimisation, including classical efficient frontier and advanced methods.Portfolio Selection and Optimisation4/3/21 15:571875478165/29/18 13:302/25/21 13:01robertmartin8/PyPortfolioOptactive
134DeepDowhttps://github.com/jankrepl/deepdowPortfolio optimization with deep learning.Portfolio Selection and Optimisation4/1/21 16:063065722/2/20 8:462/16/21 18:50jankrepl/deepdowactive
135Modern Portfolio Theoryhttps://nbviewer.jupyter.org/github/Marigold/universal-portfolios/blob/master/modern-portfolio-theory.ipynbUniversal portfolios; modern portfolio theory.Portfolio Selection and Optimisation
136OLMAR Algorithmhttps://github.com/charlessutton/OLMAR/blob/master/Part3.ipynbRelative importance of each component of the OLMAR algorithm.Portfolio Selection and Optimisation12/16/20 17:286317/26/16 16:2012/30/16 11:40charlessutton/OLMARinactive
137Online Portfolio Selectionhttps://nbviewer.jupyter.org/github/paulperry/quant/blob/master/OLPS_Comparison.ipynb****Comparing OLPS algorithms on a diversified set of ETFs.Portfolio Selection and Optimisation
138401K Portfolio Optimisationhttps://github.com/otosman/Python-for-Finance/blob/master/Portfolio%20Optimization%20401k.ipynbPortfolio analyses and optimisation for 401K.Portfolio Selection and Optimisation12/25/20 9:3914518/1/18 19:489/5/19 11:18otosman/Python-for-Financeactive
139Policy Gradient Portfoliohttps://github.com/ZhengyaoJiang/PGPortfolioA Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.Portfolio Selection and Optimisation3/31/21 9:421276628611/12/17 16:085/9/19 9:50ZhengyaoJiang/PGPortfolioactive
140Deep Portfolio Theoryhttps://github.com/tcloaa/Deep-Portfolio-TheoryAutoencoder framework for portfolio selection.Portfolio Selection and Optimisation1/30/21 13:501045812/10/17 9:033/8/18 16:47tcloaa/Deep-Portfolio-Theoryinactive
141Efficient Frontierhttps://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynbModern Portfolio Theory.Portfolio Selection and Optimisation3/30/21 0:011045712/17/18 8:192/27/18 13:16tthustla/efficient_frontierinactive
142Reinforcement Learninghttps://github.com/filangel/qtraderReinforcement Learning for Portfolio Management.Portfolio Selection and Optimisation3/29/21 3:47364151110/7/17 9:146/26/18 9:22filangelos/qtraderinactive
143Distribution Characteristic Optimisationhttps://github.com/VivekPa/OptimalPortfolioExtends classical portfolio optimisation to take the skewness and kurtosis of the distribution of market invariants into account.Portfolio Selection and Optimisation3/18/21 22:3522982311/16/18 12:207/4/19 1:41VivekPa/OptimalPortfolioactive
144RL IVhttps://github.com/jjakimoto/DQNReinforcement Learning for finance.Reinforcement Learning3/25/21 19:1414055110/21/16 2:474/7/17 8:11jjakimoto/DQNinactive
145RL Tradinghttps://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sWA collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.Reinforcement Learning
146RL Vhttps://github.com/gstenger98/rl-financeBuilding an Agent to Trade with Reinforcement Learning.Reinforcement Learning1/3/21 4:3632751/16/19 0:433/19/20 20:28gstenger98/rl-financeactive
147RLhttps://github.com/kh-kim/stock_market_reinforcement_learningOpenGym with Deep Q-learning and Policy Gradient.Reinforcement Learning4/1/21 14:04713299110/4/16 14:4212/23/16 7:34kh-kim/stock_market_reinforcement_learninginactive
148RL IIhttps://github.com/deependersingla/deep_traderreinforcement learning on stock market and agent tries to learn trading.Reinforcement Learning3/29/21 11:10134049036/11/16 7:271/22/18 14:35deependersingla/deep_traderinactive
149Pair Trading RLhttps://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-TradingUsing deep actor-critic model to learn best strategies in pair trading.Reinforcement Learning3/27/21 2:1924111415/18/17 16:475/18/17 16:56shenyichen105/Deep-Reinforcement-Learning-in-Stock-Tradinginactive
150RL IIIhttps://github.com/samre12/deep-trading-agentGithub -Deep Reinforcement Learning based Trading Agent for Bitcoin.Reinforcement Learning4/3/21 20:4857620419/21/17 17:054/13/18 16:33samre12/deep-trading-agentinactive
151Fund classificationhttps://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynbFund classification using text mining and NLP.Textual3/31/21 2:124214/16/18 22:186/7/18 22:01frechfrechfrech/Mutual-Fund-Market-Clustersinactive
152Financial Sentiment Analysishttps://github.com/EricHe98/Financial-Statements-Text-AnalysisSentiment, distance and proportion analysis for trading signals.Textual3/31/21 23:48482716/23/17 0:051/26/19 3:35EricHe98/Financial-Statements-Text-Analysisinactive
153NLP Eventhttps://github.com/yuriak/DLQuantApplying Deep Learning and NLP in Quantitative Trading.Textual4/1/21 2:16703117/2/18 23:501/31/19 14:08yuriak/DLQuantinactive
154Financial Statement Sentimenthttps://github.com/MAydogdu/TextualAnalysisExtracting sentiment from financial statements using neural networks.Textual3/31/21 2:108716/4/18 20:546/4/18 20:56MAydogdu/TextualAnalysisinactive
155Extensive NLPhttps://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynbComprehensive NLP techniques for accounting research.Textual3/21/21 7:397342110/25/17 7:106/5/20 3:28TiesdeKok/Python_NLP_Tutorialactive
156Accounting Anomalieshttps://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynbUsing deep-learning frameworks to identify accounting anomalies.Textual3/31/21 2:111075125/24/17 12:368/7/19 21:47GitiHubi/deepAIactive
157Buzzwordshttps://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-FundsReturn performance and mutual fund selection.Textual10/6/20 18:541412/4/18 21:512/4/18 21:57swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Fundsinactive
158Earning call transcriptshttps://github.com/lin882/WebAnalyticsProjectCorrelation between mutual fund investment decision and earning call transcripts.Textual12/17/20 8:2433112/30/17 8:561/11/18 2:11lin882/WebAnalyticsProjectinactive
159NLPhttps://github.com/toamitesh/NLPinFinanceThis project assembles a lot of NLP operations needed for finance domain.Textualtoamitesh/NLPinFinance
160Industry Clusteringhttps://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustriesProject to cluster industries according to financial attributes.Unsupervised10/6/20 18:514517/21/17 2:127/23/17 2:53SeanMcOwen/FinanceAndPython.com-ClusteringIndustriesinactive
161Pairs Tradinghttps://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynbFinding pairs with cluster analysis.Unsupervised3/8/21 11:01783609/5/17 19:199/27/17 20:42marketneutral/pairs-trading-with-MLinactive
162VRA Stock Embeddinghttps://github.com/ml-hongkong/stock2vecVariational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.Unsupervised10/20/20 11:05321216/21/17 4:476/21/17 4:51ml-hongkong/stock2vecinactive
163PCA Pairs Tradinghttps://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_TradingPCA, Factor Returns, and trading strategies.UnsupervisedjoelQF/quant-finance
164Industry Clusteringhttps://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustriesClustering of industries.Unsupervised10/6/20 18:514517/21/17 2:127/23/17 2:53SeanMcOwen/FinanceAndPython.com-ClusteringIndustriesinactive
165Fund Clustershttps://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynbData exploration of fund clusters.Unsupervised3/31/21 2:124214/16/18 22:186/7/18 22:01frechfrechfrech/Mutual-Fund-Market-Clustersinactive