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Financial Machine Learning and Data Science
A curated list of practical financial machine learning (FinML) tools and applications. This collection is primarily in Python.
A listed repository should be deprecated if:
- Repository's owner explicitly say that "this library is not maintained".
- Not committed for long time (2~3 years).
This repo is officially under revamp as of 3/29/2021!!
- TODOs and roadmap is under the github project here
- If you would like to contribute to this repo, please send us a pull request or contact @dereknow or @bin-yang-algotune
- Join us in the gitter chat here
- All repos/links status including last commit date is updated daily
- Only 15 Highest ranked repos/links for each section are displayed on main README.md and full list is available within the wiki page
- Both Wikis/README.md is updated in realtime as soon as new information are pushed to the repo
Trading
Deep Learning & Reinforcement Learning (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Stock-Prediction-Models | very 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) | 12/18/17 10:49 | 1/5/21 10:31 | 3655.0 | ✔️ | :star:x5 |
| AI Trading | AI to predict stock market movements. | 1/9/19 8:02 | 2/11/19 16:32 | 2876.0 | ✖️ | :star:x5 |
| FinRL-Library | started 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 use pyfolio for showing backtesting stats. Big contributions on Proximal Policy Optimization (PPO) advantage actor critic (A2C) and Deep Deterministic Policy Gradient (DDPG) agents for trading | 7/26/20 13:18 | 4/11/21 22:02 | 1857.0 | ✔️ | :star:x5 |
| Deep Learning IV | Bulbea: Deep Learning based Python Library. | 3/9/17 6:11 | 3/19/17 7:42 | 1467.0 | ✖️ | :star:x5 |
| RLTrader | predecessor to tensortrade uses open api gym and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using Optuna etc. | 4/27/19 18:35 | 10/17/19 16:25 | 1312.0 | ✔️ | :star:x5 |
| Deep Learning III | Algorithmic trading with deep learning experiments. | 6/18/16 18:23 | 8/7/18 15:24 | 1266.0 | ✖️ | :star:x5 |
| Personae | implementation of deep reinforcement learning and supervised learnings covering areas: deep deterministic policy gradient (DDPG) and DDQN etc. Data are being pulled from rqalpha which is a python backtest engine and have a nice docker image to run training/testing | 3/10/18 11:22 | 9/2/18 17:21 | 1144.0 | ✖️ | :star:x5 |
| RL Trading | A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab. | nan | nan | nan | ✔️ | :star:x4 |
| Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 | Part of FinRL and provided code for paper deep reinformacement learning for automated stock trading focuses on ensemble. | 7/26/20 13:12 | 1/21/21 18:11 | 560.0 | ✔️ | :star:x4 |
| 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 | 551.0 | ✔️ | :star:x4 |
| Neural Network | Neural networks to predict stock prices. | 9/10/18 6:34 | 11/21/18 7:39 | 489.0 | ✖️ | :star:x4 |
| Deep Learning | Technical experimentations to beat the stock market using deep learning. | 12/12/16 2:15 | 3/4/17 8:37 | 427.0 | ✖️ | :star:x4 |
| LTSM Recurrent | OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network. | 10/7/18 3:58 | 8/3/19 9:00 | 1207.0 | ✔️ | :star:x4 |
| RL III | Github -Deep Reinforcement Learning based Trading Agent for Bitcoin. | 9/21/17 17:05 | 4/13/18 16:33 | 576.0 | ✖️ | :star:x3 |
| crypto-rl | Retrieve limit order book level data from coinbase pro and bitfinex -> record in arctic timeseries database then implemented trend following strategies (market orders) and market making (limit orders). Uses reinforcement learning (DQN) keras-rl to create agents and uses openai gym to implement POMDP (partially observable markov decision process) | 6/21/18 1:06 | 11/5/20 11:08 | 347.0 | ✔️ | :star:x3 |
Other Models (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Hands-On-Machine-Learning-for-Algorithmic-Trading | repo for book hands-on-machine learning for algorithmic trading covering topic from data/unsupervised learning/NPL/RNN & CNN/reinforcement learning etc. Leverage zipline/alphalens/sklearn/openai-gym etc as well. Good references to have | 5/7/19 11:04 | 1/19/21 7:51 | 600.0 | ✔️ | :star:x5 |
| CryptoBot | Hard fork of bitpredit and form the trading strategy as a classification problem with -1 (sell) 0 (hold) 1 (buy). Models used are XGBClassifier/RandomForest/GradientBoosting. Not mentained | 1/17/17 12:44 | 1/17/17 12:48 | 234.0 | ✖️ | :star:x2 |
| Trend Following | A futures trend following portfolio investment strategy. | nan | nan | nan | ✔️ | |
| awesome-ai-in-finance | NEW | 8/29/18 2:07 | 11/27/20 9:43 | 941.0 | ✔️ | |
| Scikit-learn Stock Prediction | Using python and scikit-learn to make stock predictions. | 2/12/17 4:50 | 2/4/21 3:48 | 931.0 | ✔️ | |
| AlphaPy | NEW | 2/14/16 0:47 | 2/8/21 21:35 | 576.0 | ✔️ | |
| MathAndScienceNotes | Collections of news/articles on various topics including quant trading and machine learning. Some articles are from ycombinator message board and rediit algotrading forum | 3/11/16 19:13 | 12/21/20 3:54 | 460.0 | ✔️ | |
| Fundamental LT Forecasts | Research in investment finance for long term forecasts. | 7/22/18 8:14 | 2/17/21 14:39 | 383.0 | ✔️ | |
| stock-trading-ml | NEW | 10/10/19 9:44 | 10/12/19 11:38 | 340.0 | ✔️ | |
| Mixture Models I | Mixture models to predict market bottoms. | 3/20/17 18:54 | 4/25/17 23:35 | 31.0 | ✖️ | |
| finance_ml | NEW | 6/29/18 21:21 | 2/18/19 12:34 | 282.0 | ✖️ | |
| Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original | NEW | 11/15/19 8:51 | 1/21/21 7:56 | 279.0 | ✔️ | |
| Machine-Learning-and-AI-in-Trading | NEW | 8/30/17 6:14 | 10/29/19 8:14 | 261.0 | ✔️ | |
| ML_Finance_Codes | NEW | 9/27/19 16:13 | 6/13/20 21:20 | 250.0 | ✔️ | |
| mlfinlab | NEW | 2/13/19 16:57 | 4/12/21 10:50 | 2295.0 | ✔️ |
Data Processing Techniques and Transformations (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Advanced ML II | More implementations of Financial Machine Learning (De Prado). | nan | nan | nan | ✔️ | |
| Advanced ML | Exercises too Financial Machine Learning (De Prado). | 4/25/18 17:22 | 1/16/20 17:25 | 973.0 | ✔️ | |
| finserv-application-blueprint | NEW | 2016-09-26 19:42:54 | 2021-01-20 23:07:40 | 72.0 | ✔️ | |
| Google-Finance-Stock-Data-Analysis | NEW | 2017-07-23 02:59:59 | 2017-07-23 03:10:35 | 70.0 | ✖️ | |
| Twitter-Trends | NEW | 2017-05-22 17:07:45 | 2017-05-23 08:06:27 | 66.0 | ✖️ | |
| cointrader | NEW | 2014-06-01 01:14:12 | 2020-10-22 00:24:50 | 339.0 | ✔️ | |
| CryptoNets | NEW | 2019-06-02 05:48:39 | 2019-09-12 13:03:05 | 154.0 | ✔️ |
Portfolio Management
Portfolio Selection and Optimisation (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Online Portfolio Selection | ****Comparing OLPS algorithms on a diversified set of ETFs. | nan | nan | nan | ✔️ | |
| Modern Portfolio Theory | Universal portfolios; modern portfolio theory. | nan | nan | nan | ✔️ | |
| OLMAR Algorithm | Relative importance of each component of the OLMAR algorithm. | 7/26/16 16:20 | 12/30/16 11:40 | 7.0 | ✖️ | |
| Riskfolio-Lib | NEW | 3/2/20 19:49 | 4/1/21 3:50 | 371.0 | ✔️ | |
| Reinforcement Learning | Reinforcement Learning for Portfolio Management. | 10/7/17 9:14 | 6/26/18 9:22 | 364.0 | ✖️ | |
| DeepDow | Portfolio optimization with deep learning. | 2/2/20 8:46 | 2/16/21 18:50 | 311.0 | ✔️ | |
| Distribution Characteristic Optimisation | 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 | 232.0 | ✔️ | |
| PyPortfolioOpt | Financial portfolio optimisation, including classical efficient frontier and advanced methods. | 5/29/18 13:30 | 2/25/21 13:01 | 1895.0 | ✔️ | |
| 401K Portfolio Optimisation | Portfolio analyses and optimisation for 401K. | 8/1/18 19:48 | 9/5/19 11:18 | 14.0 | ✔️ | |
| Policy Gradient Portfolio | A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. | 11/12/17 16:08 | 5/9/19 9:50 | 1281.0 | ✔️ | |
| riskparity.py | NEW | 7/13/19 21:30 | 1/30/21 1:53 | 124.0 | ✔️ | |
| Deep Portfolio Theory | Autoencoder framework for portfolio selection. | 2/10/17 9:03 | 3/8/18 16:47 | 105.0 | ✖️ | |
| Efficient Frontier | Modern Portfolio Theory. | 2/17/18 8:19 | 2/27/18 13:16 | 104.0 | ✖️ | |
| node-finance | NEW | 9/17/11 17:49 | 4/5/21 8:01 | 101.0 | ✔️ |
Factor and Risk Analysis (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Machine_learning_In_Finance | NEW | 2019-08-03 04:04:51 | 2019-08-03 04:05:32 | 8.0 | ✔️ | |
| stock-market-analysis-using-python-numpy-pandas | NEW | 2018-04-10 05:15:49 | 2018-04-10 05:28:54 | 8.0 | ✖️ | |
| -L- | NEW | 2019-10-28 21:50:26 | 2019-10-28 21:51:19 | 6.0 | ✔️ | |
| TradeFinexLive | NEW | 2018-03-21 10:05:22 | 2021-03-18 09:48:32 | 5.0 | ✔️ | |
| VaR GaN | Estimate Value-at-Risk for market risk management using Keras and TensorFlow. | 8/6/18 16:09 | 11/22/20 19:02 | 41.0 | ✔️ | |
| Various Risk Measures | Risk measures and factors for alternative and responsible investments. | 8/7/17 14:44 | 8/8/17 22:52 | 4.0 | ✖️ | |
| Pyfolio | Portfolio and risk analytics in Python. | 6/1/15 15:31 | 2/28/20 17:30 | 3673.0 | ✔️ | |
| CAPM | Expected returns using CAPM. | 5/10/16 11:03 | 5/17/16 3:44 | 31.0 | ✖️ | |
| Risk Basic | Active portfolio risk management . | 5/10/16 11:03 | 5/17/16 3:44 | 31.0 | ✖️ | |
| Quant Finance | General quant repository. | 8/11/18 22:59 | 11/12/19 4:49 | 31.0 | ✔️ | |
| Factor Analysis | Factor analysis for mutual funds. | 3/13/18 7:39 | 3/13/18 7:42 | 3.0 | ✖️ | |
| Statistical Finance | Various financial experiments. | 10/4/15 9:10 | 3/28/20 18:33 | 21.0 | ✔️ | |
| Performance Analysis | Performance analysis of predictive (alpha) stock factors. | 6/3/16 21:49 | 4/27/20 18:40 | 1847.0 | ✔️ | |
| Convex Optimisation | Convex Optimization for Finance. | 6/26/18 20:36 | 10/22/19 21:56 | 18.0 | ✔️ | |
| Factor Analysis | Factor strategy notebooks. | 5/1/17 7:36 | 4/7/21 15:25 | 172.0 | ✔️ |
Techniques
Unsupervised (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| PCA Pairs Trading | PCA, Factor Returns, and trading strategies. | nan | nan | nan | ✔️ | |
| Pairs Trading | Finding pairs with cluster analysis. | 9/5/17 19:19 | 9/27/17 20:42 | 79.0 | ✖️ | |
| Industry Clustering | Clustering of industries. | 7/21/17 2:12 | 7/23/17 2:53 | 4.0 | ✖️ | |
| Fund Clusters | Data exploration of fund clusters. | 4/16/18 22:18 | 6/7/18 22:01 | 4.0 | ✖️ | |
| Industry Clustering | Project to cluster industries according to financial attributes. | 7/21/17 2:12 | 7/23/17 2:53 | 4.0 | ✖️ | |
| VRA Stock Embedding | 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 | ✖️ |
Textual (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| NLP | This project assembles a lot of NLP operations needed for finance domain. | nan | nan | nan | ✔️ | |
| Financial Statement Sentiment | Extracting sentiment from financial statements using neural networks. | 6/4/18 20:54 | 6/4/18 20:56 | 8.0 | ✖️ | |
| Extensive NLP | Comprehensive NLP techniques for accounting research. | 10/25/17 7:10 | 6/5/20 3:28 | 73.0 | ✔️ | |
| NLP Event | Applying Deep Learning and NLP in Quantitative Trading. | 7/2/18 23:50 | 1/31/19 14:08 | 70.0 | ✖️ | |
| Financial Sentiment Analysis | Sentiment, distance and proportion analysis for trading signals. | 6/23/17 0:05 | 1/26/19 3:35 | 48.0 | ✖️ | |
| Fund classification | Fund classification using text mining and NLP. | 4/16/18 22:18 | 6/7/18 22:01 | 4.0 | ✖️ | |
| Earning call transcripts | Correlation between mutual fund investment decision and earning call transcripts. | 12/30/17 8:56 | 1/11/18 2:11 | 3.0 | ✖️ | |
| Accounting Anomalies | Using deep-learning frameworks to identify accounting anomalies. | 5/24/17 12:36 | 8/7/19 21:47 | 110.0 | ✔️ | |
| Buzzwords | Return performance and mutual fund selection. | 2/4/18 21:51 | 2/4/18 21:57 | 1.0 | ✖️ |
Other Assets
Derivatives and Hedging (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Options | Black Scholes and Copula. | nan | nan | nan | ✔️ | |
| Derivative Markets | The economics of futures, futures, options, and swaps. | 2/9/16 5:30 | 4/6/21 20:49 | 8.0 | ✔️ | |
| Volatility and Variance Derivatives | Volatility derivatives analytics. | 10/21/16 4:12 | 2/22/21 13:32 | 79.0 | ✔️ | |
| tda-api | NEW | 2020-04-03 21:19:12 | 2021-04-12 03:12:03 | 649.0 | ✔️ | |
| Strata | NEW | 2014-06-16 11:45:55 | 2021-04-12 06:32:06 | 607.0 | ✔️ | |
| FinanceDatabase | NEW | 2021-01-28 18:36:09 | 2021-04-08 11:10:46 | 595.0 | ✔️ | |
| gs-quant | NEW | 2018-12-14 21:10:40 | 2021-03-25 15:33:58 | 584.0 | ✔️ | |
| wallstreet | NEW | 2016-01-20 22:03:39 | 2019-08-09 23:14:52 | 570.0 | ✔️ | |
| algotrader | NEW | 2018-04-10 02:31:26 | 2020-08-27 08:16:44 | 477.0 | ✔️ | |
| FinancePy | NEW | 2019-10-27 15:04:56 | 2021-03-11 21:40:14 | 441.0 | ✔️ | |
| Hull White | Callable Bond, Hull White. | 6/6/18 22:06 | 6/6/18 22:27 | 4.0 | ✖️ | |
| optopsy | NEW | 2017-09-17 01:49:54 | 2020-12-07 17:00:58 | 393.0 | ✔️ | |
| StockSharp | NEW | 2014-12-08 07:53:44 | 2021-04-07 10:55:36 | 3924.0 | ✔️ | |
| Derivatives Python | Derivative analytics with Python. | 7/9/15 12:27 | 2/22/21 13:29 | 388.0 | ✔️ | |
| akshare | NEW | 2019-10-01 07:34:12 | 2021-04-13 11:18:53 | 3374.0 | ✔️ |
Fixed Income (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Corporate Bonds | Predicting the buying and selling volume of the corporate bonds. | 9/27/17 19:57 | 9/27/17 20:00 | 7.0 | ✖️ | |
| Vasicek | Bootstrapping and interpolation. | 7/18/18 19:26 | 7/18/18 19:34 | 3.0 | ✖️ | |
| Binomial Tree | Utility functions in fixed income securities. | 2/2/19 8:44 | 5/3/19 17:16 | 1.0 | ✔️ |
Alternative Finance (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Venture Capital NN | Cox-PH neural network predictions for VC/innovations finance research. | nan | nan | nan | ✔️ | |
| Art Valuation | Art evaluation analytics. | 12/11/14 0:25 | 12/12/14 21:25 | 9.0 | ✖️ | |
| Private Equity | Valuation models. | 1/27/16 21:13 | 3/14/16 20:03 | 8.0 | ✖️ | |
| Kiva Crowdfunding | Exploratory data analysis. | 2/27/18 16:46 | 2/13/19 0:15 | 5.0 | ✖️ | |
| Watch Valuation | 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 | ✖️ | |
| Venture Capital | Insight into a new founder to make data-driven investment decisions. | 12/4/17 8:59 | 12/13/17 5:35 | 3.0 | ✖️ | |
| VC OLS | VC regression. | 3/29/18 23:31 | 3/29/18 23:33 | 2.0 | ✖️ | |
| Blockchain | Repository for distributed autonomous investment banking. | 9/5/16 19:12 | 4/24/17 10:48 | 12.0 | ✖️ |
Extended Research (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Commodity | Commodity influence over Brazilian stocks. | nan | nan | nan | ✔️ | |
| Real Estate Property Fraud | Unsupervised fraud detection model that can identify likely candidates of fraud. | nan | nan | nan | ✔️ | |
| Behavioural Economics | Behavioural Economics and Finance Python Notebooks. | 12/20/18 0:21 | 3/26/19 11:51 | 9.0 | ✖️ | |
| Corporate Finance | Basic corporate finance. | 9/9/17 3:35 | 9/9/17 23:04 | 9.0 | ✖️ | |
| NLP Finance Papers | Curating quantitative finance papers using machine learning. | 10/11/18 20:32 | 12/24/18 23:27 | 8.0 | ✖️ | |
| Applied Corporate Finance | Studies the empirical behaviours in stock market. | 1/29/18 5:14 | 7/19/18 6:25 | 8.0 | ✖️ | |
| HFT | High frequency trading. | 7/21/16 5:14 | 2/14/17 16:47 | 748.0 | ✖️ | |
| Financial Economics | Financial Economics Models. | 11/9/14 4:49 | 12/3/18 16:30 | 713.0 | ✖️ | |
| Mathematical Finance | Notebooks for math and financial tutorials. | 1/21/17 11:24 | 8/1/20 17:03 | 664.0 | ✔️ | |
| Backtests | Trading data and algorithms. | 9/16/18 20:00 | 9/5/20 13:01 | 620.0 | ✔️ | |
| Liquidity and Momentum | Various factors and portfolio constructions. | 8/11/18 22:59 | 11/12/19 4:49 | 31.0 | ✔️ | |
| M&A | Mergers and Acquisitions. | 1/19/19 18:16 | 2/18/19 16:57 | 3.0 | ✖️ | |
| Life-cycle | Company life cycle. | 1/19/19 18:16 | 2/18/19 16:57 | 3.0 | ✖️ | |
| Currency PCA | Forex spots PCA. | 3/12/19 21:11 | 3/12/19 22:09 | 3.0 | ✖️ | |
| Deep Portfolio | Deep learning for finance Predict volume of bonds. | 5/8/18 19:34 | 5/9/18 15:39 | 27.0 | ✖️ |
Courses (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Basic Investments | Basic investment tools in python. | 8/2/17 21:52 | 8/17/17 3:24 | 9.0 | ✖️ | |
| Mathematical Finance | NYU Math-GA 2048: Scientific Computing in Finance. | 1/25/15 21:10 | 3/25/20 4:24 | 69.0 | ✔️ | |
| Algo Trading | Intro to algo trading. | 10/29/17 20:34 | 1/22/19 6:56 | 64.0 | ✖️ | |
| Risk Management | Finance risk engagement course resources. | 10/3/18 16:26 | 12/13/18 8:04 | 6.0 | ✖️ | |
| Basic Derivatives | Basic forward contracts and hedging. | 8/24/17 0:11 | 10/13/17 1:32 | 4.0 | ✖️ | |
| Machine Learning for Trading | Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. | 5/9/18 12:33 | 4/10/21 22:21 | 3842.0 | ✔️ | |
| ML Specialisation | Machine Learning in Finance. | 1/24/19 2:55 | 1/3/20 21:54 | 34.0 | ✔️ | |
| Python for Finance | CEU python for finance course material. | 12/12/17 11:54 | 2/25/20 20:31 | 16.0 | ✔️ | |
| Handson Python for Finance | Hands-on Python for Finance published by Packt. | 8/20/18 14:10 | 1/15/21 8:57 | 121.0 | ✔️ | |
| Basic Finance | Source code notebooks basic finance applications. | 5/6/17 2:39 | 6/21/17 4:04 | 10.0 | ✖️ |
Data (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Capital Markets Data | nan | nan | nan | nan | ✔️ | |
| IRS | nan | nan | nan | nan | ✔️ | |
| Non-financial Corporate | nan | nan | nan | nan | ✔️ | |
| https://fred.stlouisfed.org/ | nan | nan | nan | nan | ✔️ | |
| Rating Industries | nan | nan | nan | nan | ✔️ | |
| https://stooq.com | nan | nan | nan | nan | ✔️ | |
| http://finance.yahoo.com/ | nan | nan | nan | nan | ✔️ | |
| Financial Corporate | nan | nan | nan | nan | ✔️ | |
| SEC Parsing | nan | 6/16/18 14:30 | 6/16/18 17:23 | 9.0 | ✖️ | |
| https://github.com/timestocome/StockMarketData | nan | 5/10/17 21:49 | 8/6/17 19:23 | 7.0 | ✖️ | |
| Web Scraping (FirmAI) | nan | 2/19/19 19:02 | 7/22/20 16:48 | 577.0 | ✔️ | |
| Open Edgar | nan | 5/7/18 15:32 | 5/15/19 8:32 | 169.0 | ✔️ | |
| EDGAR | nan | 6/11/18 22:51 | 7/10/18 18:03 | 11.0 | ✖️ | |
| Employee Count SEC Filings | nan | 6/26/18 23:33 | 8/14/18 1:31 | 10.0 | ✖️ |
Colleges, Centers and Departments (Wiki)
| repo | comment | created_at | last_commit | star_count | repo_status | rating |
|---|---|---|---|---|---|---|
| Berkeley Lab CIFT | nan | nan | nan | nan | ✔️ | |
| NYU Courant | Courant Institute of Mathematical Sciences, New York University | nan | nan | nan | ✔️ | |
| Oxford Man | Oxford-Man Institute of Quantitative Finance | nan | nan | nan | ✔️ | |
| Stanford Advanced Financial Technologies | Stanford Advanced Financial Technologies Laboratory | nan | nan | nan | ✔️ | |
| Cornell University | nan | nan | nan | nan | ✔️ | |
| NYU FRE | Finance and Risk Engineering (NYU Tandon) | nan | nan | nan | ✔️ |