mirror of
https://github.com/firmai/financial-machine-learning.git
synced 2026-07-27 18:57:54 +00:00
added repo description for deep learning
This commit is contained in:
Bin Yang
@@ -1,29 +1,30 @@
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
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|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:------------------|:---------------------------------------------------------------------|:--------------------|
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| <sub>[awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading)</sub> | <sub>NEW</sub> | <sub>11/26/18 3:23</sub> | <sub>1/1/21 9:41</sub> | <sub>528.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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| <sub>[trading-bot](https://github.com/pskrunner14/trading-bot)</sub> | <sub>NEW</sub> | <sub>8/13/18 10:44</sub> | <sub>1/23/20 4:41</sub> | <sub>285.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Advanced-Deep-Trading](https://github.com/Rachnog/Advanced-Deep-Trading)</sub> | <sub>NEW</sub> | <sub>2/16/19 21:18</sub> | <sub>11/29/20 20:12</sub> | <sub>319.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
|
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| <sub>[deep-RL-trading](https://github.com/golsun/deep-RL-trading)</sub> | <sub>NEW</sub> | <sub>2/25/18 17:41</sub> | <sub>12/1/20 22:06</sub> | <sub>231.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
|
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| <sub>[FinRL-Library](https://github.com/AI4Finance-LLC/FinRL-Library)</sub> | <sub>NEW</sub> | <sub>7/26/20 13:18</sub> | <sub>3/28/21 13:46</sub> | <sub>1780.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[RLTrader](https://github.com/notadamking/RLTrader)</sub> | <sub>NEW</sub> | <sub>4/27/19 18:35</sub> | <sub>10/17/19 16:25</sub> | <sub>1300.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020](https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020)</sub> | <sub>NEW</sub> | <sub>7/26/20 13:12</sub> | <sub>1/21/21 18:11</sub> | <sub>542.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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| <sub>[BitcoinForecast](https://github.com/PiSimo/BitcoinForecast)</sub> | <sub>NEW</sub> | <sub>3/10/17 10:52</sub> | <sub>6/11/18 8:07</sub> | <sub>287.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[AutomatedStockTrading-DeepQ-Learning](https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning)</sub> | <sub>NEW</sub> | <sub>2/23/19 12:01</sub> | <sub>2/25/20 18:16</sub> | <sub>134.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
|
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| <sub>[Personae](https://github.com/Ceruleanacg/Personae)</sub> | <sub>NEW</sub> | <sub>3/10/18 11:22</sub> | <sub>9/2/18 17:21</sub> | <sub>1142.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[Deep-Reinforcement-Stock-Trading](https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading)</sub> | <sub>NEW</sub> | <sub>5/19/19 22:20</sub> | <sub>9/27/20 19:22</sub> | <sub>140.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Deep-Learning-Machine-Learning-Stock](https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock)</sub> | <sub>NEW</sub> | <sub>9/29/18 23:38</sub> | <sub>3/18/21 3:16</sub> | <sub>251.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[trading-rl](https://github.com/Kostis-S-Z/trading-rl)</sub> | <sub>NEW</sub> | <sub>4/22/19 10:03</sub> | <sub>9/28/20 9:07</sub> | <sub>179.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[DQN-DDPG_Stock_Trading](https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading)</sub> | <sub>NEW</sub> | <sub>9/19/18 3:17</sub> | <sub>11/26/20 16:58</sub> | <sub>134.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models)</sub> | <sub>NEW</sub> | <sub>12/18/17 10:49</sub> | <sub>1/5/21 10:31</sub> | <sub>3584.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[Deep-Reinforcement-Learning-in-Trading](https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading)</sub> | <sub>NEW</sub> | <sub>5/11/18 0:52</sub> | <sub>10/26/19 14:22</sub> | <sub>137.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
|
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| <sub>[crypto-rl](https://github.com/sadighian/crypto-rl)</sub> | <sub>NEW</sub> | <sub>6/21/18 1:06</sub> | <sub>11/5/20 11:08</sub> | <sub>339.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[DeepLearningInFinance](https://github.com/sonaam1234/DeepLearningInFinance)</sub> | <sub>NEW</sub> | <sub>8/21/17 16:00</sub> | <sub>8/21/17 17:23</sub> | <sub>266.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[LTSM GRU](https://github.com/RajatHanda/Finance-Forecasting)</sub> | <sub>Stock Market Forecasting using LSTM\GRU.</sub> | <sub>5/13/18 2:39</sub> | <sub>2/25/19 0:26</sub> | <sub>11.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Deep Learning](https://github.com/keon/deepstock)</sub> | <sub>Technical experimentations to beat the stock market using deep learning.</sub> | <sub>12/12/16 2:15</sub> | <sub>3/4/17 8:37</sub> | <sub>427.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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| <sub>[Deep Learning II](https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks)</sub> | <sub>Tensorflow Regression.</sub> | <sub>7/12/16 12:56</sub> | <sub>2/16/18 2:43</sub> | <sub>174.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
|
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| <sub>[Deep Learning III](https://github.com/Rachnog/Deep-Trading)</sub> | <sub>Algorithmic trading with deep learning experiments.</sub> | <sub>6/18/16 18:23</sub> | <sub>8/7/18 15:24</sub> | <sub>1262.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[Deep Learning IV](https://github.com/achillesrasquinha/bulbea)</sub> | <sub>Bulbea: Deep Learning based Python Library.</sub> | <sub>3/9/17 6:11</sub> | <sub>3/19/17 7:42</sub> | <sub>1448.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[AI Trading](https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md)</sub> | <sub>AI to predict stock market movements.</sub> | <sub>1/9/19 8:02</sub> | <sub>2/11/19 16:32</sub> | <sub>2852.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
|
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| <sub>[Neural Network](https://github.com/VivekPa/IntroNeuralNetworks)</sub> | <sub>Neural networks to predict stock prices.</sub> | <sub>9/10/18 6:34</sub> | <sub>11/21/18 7:39</sub> | <sub>488.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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| <sub>[ARIMA-LTSM Hybrid](https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid)</sub> | <sub>Hybrid model to predict future price correlation coefficients of two assets.</sub> | <sub>8/5/18 2:13</sub> | <sub>10/1/18 11:25</sub> | <sub>218.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[LTSM Recurrent](https://github.com/VivekPa/AIAlpha)</sub> | <sub>OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.</sub> | <sub>10/7/18 3:58</sub> | <sub>8/3/19 9:00</sub> | <sub>1198.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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| repo | comment | created_at | last_commit | star_count | repo_status | rating |
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|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------|:--------------------------|:------------------|:---------------------------------------------------------------------|:--------------------|
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| <sub>[awesome-deep-trading](https://github.com/cbailes/awesome-deep-trading)</sub> | <sub>curated list of papers/repos on topics like CNN/LSTM/GAN/Reinforcement Learning etc. | <sub>11/26/18 3:23</sub> | <sub>1/1/21 9:41</sub> | <sub>528.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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| | Categorized as deep learning for now but there are other topics here. Manually maintained by cbailes</sub> | | | | | |
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| <sub>[trading-bot](https://github.com/pskrunner14/trading-bot)</sub> | <sub>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 </sub> | <sub>8/13/18 10:44</sub> | <sub>1/23/20 4:41</sub> | <sub>285.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Advanced-Deep-Trading](https://github.com/Rachnog/Advanced-Deep-Trading)</sub> | <sub>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. </sub> | <sub>2/16/19 21:18</sub> | <sub>11/29/20 20:12</sub> | <sub>319.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[deep-RL-trading](https://github.com/golsun/deep-RL-trading)</sub> | <sub>NEW</sub> | <sub>2/25/18 17:41</sub> | <sub>12/1/20 22:06</sub> | <sub>231.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[FinRL-Library](https://github.com/AI4Finance-LLC/FinRL-Library)</sub> | <sub>NEW</sub> | <sub>7/26/20 13:18</sub> | <sub>3/28/21 13:46</sub> | <sub>1780.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[RLTrader](https://github.com/notadamking/RLTrader)</sub> | <sub>NEW</sub> | <sub>4/27/19 18:35</sub> | <sub>10/17/19 16:25</sub> | <sub>1300.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020](https://github.com/AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020)</sub> | <sub>NEW</sub> | <sub>7/26/20 13:12</sub> | <sub>1/21/21 18:11</sub> | <sub>542.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
|
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| <sub>[BitcoinForecast](https://github.com/PiSimo/BitcoinForecast)</sub> | <sub>NEW</sub> | <sub>3/10/17 10:52</sub> | <sub>6/11/18 8:07</sub> | <sub>287.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
|
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| <sub>[AutomatedStockTrading-DeepQ-Learning](https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning)</sub> | <sub>NEW</sub> | <sub>2/23/19 12:01</sub> | <sub>2/25/20 18:16</sub> | <sub>134.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
|
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| <sub>[Personae](https://github.com/Ceruleanacg/Personae)</sub> | <sub>NEW</sub> | <sub>3/10/18 11:22</sub> | <sub>9/2/18 17:21</sub> | <sub>1142.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
|
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| <sub>[Deep-Reinforcement-Stock-Trading](https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading)</sub> | <sub>NEW</sub> | <sub>5/19/19 22:20</sub> | <sub>9/27/20 19:22</sub> | <sub>140.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Deep-Learning-Machine-Learning-Stock](https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock)</sub> | <sub>NEW</sub> | <sub>9/29/18 23:38</sub> | <sub>3/18/21 3:16</sub> | <sub>251.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[trading-rl](https://github.com/Kostis-S-Z/trading-rl)</sub> | <sub>NEW</sub> | <sub>4/22/19 10:03</sub> | <sub>9/28/20 9:07</sub> | <sub>179.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[DQN-DDPG_Stock_Trading](https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading)</sub> | <sub>NEW</sub> | <sub>9/19/18 3:17</sub> | <sub>11/26/20 16:58</sub> | <sub>134.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Stock-Prediction-Models](https://github.com/huseinzol05/Stock-Prediction-Models)</sub> | <sub>NEW</sub> | <sub>12/18/17 10:49</sub> | <sub>1/5/21 10:31</sub> | <sub>3584.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
|
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| <sub>[Deep-Reinforcement-Learning-in-Trading](https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading)</sub> | <sub>NEW</sub> | <sub>5/11/18 0:52</sub> | <sub>10/26/19 14:22</sub> | <sub>137.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[crypto-rl](https://github.com/sadighian/crypto-rl)</sub> | <sub>NEW</sub> | <sub>6/21/18 1:06</sub> | <sub>11/5/20 11:08</sub> | <sub>339.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[DeepLearningInFinance](https://github.com/sonaam1234/DeepLearningInFinance)</sub> | <sub>NEW</sub> | <sub>8/21/17 16:00</sub> | <sub>8/21/17 17:23</sub> | <sub>266.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[LTSM GRU](https://github.com/RajatHanda/Finance-Forecasting)</sub> | <sub>Stock Market Forecasting using LSTM\GRU.</sub> | <sub>5/13/18 2:39</sub> | <sub>2/25/19 0:26</sub> | <sub>11.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Deep Learning](https://github.com/keon/deepstock)</sub> | <sub>Technical experimentations to beat the stock market using deep learning.</sub> | <sub>12/12/16 2:15</sub> | <sub>3/4/17 8:37</sub> | <sub>427.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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| <sub>[Deep Learning II](https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks)</sub> | <sub>Tensorflow Regression.</sub> | <sub>7/12/16 12:56</sub> | <sub>2/16/18 2:43</sub> | <sub>174.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[Deep Learning III](https://github.com/Rachnog/Deep-Trading)</sub> | <sub>Algorithmic trading with deep learning experiments.</sub> | <sub>6/18/16 18:23</sub> | <sub>8/7/18 15:24</sub> | <sub>1262.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[Deep Learning IV](https://github.com/achillesrasquinha/bulbea)</sub> | <sub>Bulbea: Deep Learning based Python Library.</sub> | <sub>3/9/17 6:11</sub> | <sub>3/19/17 7:42</sub> | <sub>1448.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[AI Trading](https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md)</sub> | <sub>AI to predict stock market movements.</sub> | <sub>1/9/19 8:02</sub> | <sub>2/11/19 16:32</sub> | <sub>2852.0</sub> | <sub></sub> | <sub>:star:x5</sub> |
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| <sub>[Neural Network](https://github.com/VivekPa/IntroNeuralNetworks)</sub> | <sub>Neural networks to predict stock prices.</sub> | <sub>9/10/18 6:34</sub> | <sub>11/21/18 7:39</sub> | <sub>488.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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| <sub>[ARIMA-LTSM Hybrid](https://github.com/imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid)</sub> | <sub>Hybrid model to predict future price correlation coefficients of two assets.</sub> | <sub>8/5/18 2:13</sub> | <sub>10/1/18 11:25</sub> | <sub>218.0</sub> | <sub></sub> | <sub>:star:x3</sub> |
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| <sub>[LTSM Recurrent](https://github.com/VivekPa/AIAlpha)</sub> | <sub>OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.</sub> | <sub>10/7/18 3:58</sub> | <sub>8/3/19 9:00</sub> | <sub>1198.0</sub> | <sub></sub> | <sub>:star:x4</sub> |
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@@ -104,6 +104,7 @@ def search_new_repo_and_append(min_stars_number: int = 100):
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combined_df = combined_df.drop_duplicates()
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# only find ones that need to be inserted
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combined_df = combined_df[~combined_df['repo_path'].str.lower().isin(repo_df['repo_path'].str.lower())]
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combined_df['finml_added_date'] = datetime.datetime.now()
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new_repo_list.append(combined_df)
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new_repo_df = pd.concat(new_repo_list).reset_index(drop=True)
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final_df = pd.concat([repo_df, new_repo_df]).reset_index(drop=True)
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+166
-165
@@ -1,165 +1,166 @@
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name,url,comment,category,last_update,star_count,fork_count,contributors_count,created_at,last_commit,repo_path,repo_status,rating
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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,,,,,,,tr7200/National-Culture-and-Venture-Capital-Monitoring,,
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Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,11/26/20 3:34,8,6,2,1/27/16 21:13,3/14/16 20:03,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,
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VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,10/6/20 20:56,2,1,1,3/29/18 23:31,3/29/18 23:33,fionawhitefield/venture-capital-ols,inactive,
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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,1/14/21 22:41,4,2,1,2/8/17 18:39,4/27/17 22:55,alporter08/Luxury-Watch-Valuation,inactive,
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Art Valuation,https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb,Art evaluation analytics.,Alternative Finance,2/26/21 12:10,9,5,1,12/11/14 0:25,12/12/14 21:25,ahmedhosny/theGreenCanvas,inactive,
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Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2/6/21 7:38,12,7,2,9/5/16 19:12,4/24/17 10:48,nud3l/dInvest,inactive,
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Venture Capital,https://github.com/julian-chan/etothex,Insight into a new founder to make data-driven investment decisions.,Alternative Finance,10/6/20 20:56,3,2,1,12/4/17 8:59,12/13/17 5:35,julian-chan/etothex,inactive,
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Kiva Crowdfunding,https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb,Exploratory data analysis.,Alternative Finance,2/19/21 13:40,5,1,1,2/27/18 16:46,2/13/19 0:15,CJL89/Kiva-Crowdfunding,inactive,
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NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,
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Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,
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Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,
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NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,
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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,,,,,,,,,
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Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,
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Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,3/12/21 11:02,64,25,1,10/29/17 20:34,1/22/19 6:56,JCreeks/Machine-Learning-in-Finance,inactive,
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Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,3/31/21 2:08,4,4,1,8/24/17 0:11,10/13/17 1:32,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,
|
||||
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,3/31/21 11:07,3663,1145,7,5/9/18 12:33,3/19/21 14:10,stefan-jansen/machine-learning-for-trading,active,
|
||||
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,1/14/21 18:01,69,63,6,1/25/15 21:10,3/25/20 4:24,yadongli/nyumath2048,active,
|
||||
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,3/31/21 2:08,16,15,4,12/12/17 11:54,2/25/20 20:31,siaen/python_finance_course,active,
|
||||
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,11/12/20 0:49,6,5,3,10/3/18 16:26,12/13/18 8:04,andrey-lukyanov/Risk-Management,inactive,
|
||||
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,3/26/21 22:26,120,107,3,8/20/18 14:10,1/15/21 8:57,PacktPublishing/Hands-on-Python-for-Finance,active,
|
||||
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,3/23/21 6:32,9,5,1,8/2/17 21:52,8/17/17 3:24,SeanMcOwen/FinanceAndPython.com-Investments,inactive,
|
||||
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,3/31/21 2:08,33,31,1,1/24/19 2:55,1/3/20 21:54,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,
|
||||
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,3/31/21 2:09,10,8,1,5/6/17 2:39,6/21/17 4:04,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,
|
||||
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,
|
||||
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,
|
||||
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,3/26/21 22:35,7,6,1,5/10/17 21:49,8/6/17 19:23,timestocome/StockMarketData,,
|
||||
https://stooq.com,https://stooq.com,,Data,,,,,,,,,
|
||||
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,
|
||||
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,
|
||||
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,
|
||||
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,
|
||||
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,
|
||||
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,3/28/21 12:43,576,183,2,2/19/19 19:02,7/22/20 16:48,firmai/business-machine-learning,,
|
||||
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2/27/21 6:34,9,6,1,6/16/18 14:30,6/16/18 17:23,healthgradient/sec-doc-info-extraction,,
|
||||
Open Edgar,https://github.com/LexPredict/openedgar,,Data,3/31/21 6:16,166,61,6,5/7/18 15:32,5/15/19 8:32,LexPredict/openedgar,active,
|
||||
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,1/23/21 19:22,11,10,1,6/11/18 22:51,7/10/18 18:03,TiesdeKok/UW_Python_Camp,inactive,
|
||||
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2/27/21 3:33,10,2,1,6/26/18 23:33,8/14/18 1:31,healthgradient/sec_employee_information_extraction,,
|
||||
Advanced ML II,https://github.com/hudson-and-thames/research,More implementations of Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,,,,,,,hudson-and-thames/research,,
|
||||
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises too Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,3/30/21 21:50,958,434,4,4/25/18 17:22,1/16/20 17:25,BlackArbsCEO/Adv_Fin_ML_Exercises,,
|
||||
awesome-deep-trading,https://github.com/cbailes/awesome-deep-trading,NEW,Deep Learning,3/31/21 6:59,528,135,1,11/26/18 3:23,1/1/21 9:41,cbailes/awesome-deep-trading,active,4
|
||||
trading-bot,https://github.com/pskrunner14/trading-bot,NEW,Deep Learning,3/31/21 9:46,285,137,1,8/13/18 10:44,1/23/20 4:41,pskrunner14/trading-bot,active,3
|
||||
Advanced-Deep-Trading,https://github.com/Rachnog/Advanced-Deep-Trading,NEW,Deep Learning,3/30/21 7:29,319,158,2,2/16/19 21:18,11/29/20 20:12,Rachnog/Advanced-Deep-Trading,active,3
|
||||
deep-RL-trading,https://github.com/golsun/deep-RL-trading,NEW,Deep Learning,3/25/21 17:52,231,109,1,2/25/18 17:41,12/1/20 22:06,golsun/deep-RL-trading,active,3
|
||||
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,NEW,Deep Learning,3/31/21 15:40,1780,423,22,7/26/20 13:18,3/28/21 13:46,AI4Finance-LLC/FinRL-Library,active,5
|
||||
RLTrader,https://github.com/notadamking/RLTrader,NEW,Deep Learning,3/30/21 14:02,1300,448,15,4/27/19 18:35,10/17/19 16:25,notadamking/RLTrader,active,5
|
||||
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,Deep Learning,3/31/21 15:40,542,238,6,7/26/20 13:12,1/21/21 18:11,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4
|
||||
BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,NEW,Deep Learning,3/29/21 5:38,287,127,3,3/10/17 10:52,6/11/18 8:07,PiSimo/BitcoinForecast,inactive,3
|
||||
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,NEW,Deep Learning,3/24/21 1:11,134,51,2,2/23/19 12:01,2/25/20 18:16,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3
|
||||
Personae,https://github.com/Ceruleanacg/Personae,NEW,Deep Learning,3/31/21 15:38,1142,332,2,3/10/18 11:22,9/2/18 17:21,Ceruleanacg/Personae,inactive,5
|
||||
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,NEW,Deep Learning,3/30/21 17:57,140,40,2,5/19/19 22:20,9/27/20 19:22,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3
|
||||
Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,NEW,Deep Learning,3/25/21 17:56,251,93,1,9/29/18 23:38,3/18/21 3:16,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3
|
||||
trading-rl,https://github.com/Kostis-S-Z/trading-rl,NEW,Deep Learning,3/31/21 16:01,179,38,2,4/22/19 10:03,9/28/20 9:07,Kostis-S-Z/trading-rl,active,3
|
||||
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,NEW,Deep Learning,3/31/21 15:40,134,49,4,9/19/18 3:17,11/26/20 16:58,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3
|
||||
Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,NEW,Deep Learning,3/31/21 8:38,3584,1520,2,12/18/17 10:49,1/5/21 10:31,huseinzol05/Stock-Prediction-Models,active,5
|
||||
Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,NEW,Deep Learning,3/31/21 10:40,137,66,1,5/11/18 0:52,10/26/19 14:22,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3
|
||||
crypto-rl,https://github.com/sadighian/crypto-rl,NEW,Deep Learning,3/29/21 21:17,339,110,1,6/21/18 1:06,11/5/20 11:08,sadighian/crypto-rl,active,3
|
||||
DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,NEW,Deep Learning,3/8/21 13:09,266,145,1,8/21/17 16:00,8/21/17 17:23,sonaam1234/DeepLearningInFinance,inactive,3
|
||||
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning,3/29/21 23:59,11,6,1,5/13/18 2:39,2/25/19 0:26,RajatHanda/Finance-Forecasting,active,3
|
||||
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning,3/24/21 14:45,427,154,2,12/12/16 2:15,3/4/17 8:37,keon/deepstock,inactive,4
|
||||
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning,3/21/21 6:53,174,68,1,7/12/16 12:56,2/16/18 2:43,LiamConnell/deep-algotrading,inactive,3
|
||||
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning,3/26/21 6:28,1262,675,1,6/18/16 18:23,8/7/18 15:24,Rachnog/Deep-Trading,inactive,5
|
||||
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning,3/28/21 15:58,1448,416,1,3/9/17 6:11,3/19/17 7:42,achillesrasquinha/bulbea,active,5
|
||||
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning,3/29/21 14:35,2852,1379,1,1/9/19 8:02,2/11/19 16:32,borisbanushev/stockpredictionai,inactive,5
|
||||
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning,3/30/21 18:13,488,177,2,9/10/18 6:34,11/21/18 7:39,VivekPa/IntroNeuralNetworks,inactive,4
|
||||
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,3/16/21 4:35,218,83,1,8/5/18 2:13,10/1/18 11:25,imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,active,3
|
||||
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning,3/30/21 3:12,1198,370,2,10/7/18 3:58,8/3/19 9:00,VivekPa/AIAlpha,active,4
|
||||
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,1/12/21 12:22,17,12,1,1/29/18 5:01,8/2/18 5:56,chenbowen184/Computational_Finance,,
|
||||
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2/27/21 8:48,3,2,1,3/2/18 23:53,7/17/18 23:32,RobinsonGarcia/delta-hedging,,
|
||||
Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,10/6/20 20:37,1,2,1,4/29/16 3:51,1/16/18 1:24,wanglouis49/risk_estimation,,
|
||||
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,3/23/21 15:35,387,297,1,7/9/15 12:27,2/22/21 13:29,yhilpisch/dawp,,
|
||||
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,
|
||||
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,2/27/21 8:50,2,3,1,5/22/18 18:27,5/22/18 18:30,rstreppa/valuation-OptionStrategies,,
|
||||
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,10/6/20 20:36,1,2,0,12/9/17 18:50,7/9/18 9:48,irajwani/numerical_methods_python,,
|
||||
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,10/6/20 20:37,4,6,1,6/6/18 22:06,6/6/18 22:27,rstreppa/valuation-callables-HullWhite,,
|
||||
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,1/20/21 8:12,16,9,1,4/21/17 10:58,8/2/17 21:41,FinTechies/HedgingRL,,
|
||||
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,3/23/21 12:10,78,77,1,10/21/16 4:12,2/22/21 13:32,yhilpisch/lvvd,,
|
||||
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,3/27/21 22:51,328,164,36,7/28/17 15:48,3/17/21 17:17,QuantConnect/Tutorials,,
|
||||
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,3/18/21 3:47,8,8,1,2/9/16 5:30,3/18/21 3:47,broughtj/Fin6470,,
|
||||
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,10/6/20 20:37,1,3,1,5/18/18 18:08,9/21/18 19:59,rstreppa/valuation-convertibles-Goldman1994,,
|
||||
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,,,,,,,aviroop1/Real_Estate_Property_Fraud,,
|
||||
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,3/29/21 17:04,742,331,1,7/21/16 5:14,2/14/17 16:47,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,,
|
||||
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,1/12/21 11:48,27,20,2,5/8/18 19:34,5/9/18 15:39,DLColumbia/DL_forFinance,,
|
||||
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2/27/21 6:33,8,9,1,10/11/18 20:32,12/24/18 23:27,chenbowen184/Research_Documents_Curation_with_NLP,,
|
||||
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,1/12/21 12:22,17,12,1,1/29/18 5:01,8/2/18 5:56,chenbowen184/Computational_Finance,,
|
||||
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,
|
||||
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,11/28/20 3:02,25,6,0,1/4/19 12:30,2/18/19 9:55,AlexIoannides/pymc-stochastic-process,,
|
||||
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,10/26/20 0:55,3,1,1,3/12/19 21:11,3/12/19 22:09,shanemulqueen/python-finance-pca,,
|
||||
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,3/30/21 2:32,613,162,3,9/16/18 20:00,9/5/20 13:01,AlgoTraders/stock-analysis-engine,,
|
||||
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,3/22/21 2:19,24,17,2,7/6/16 20:32,6/9/18 10:53,cswaney/prickle,,
|
||||
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,1/30/21 11:50,10,3,1,1/22/19 10:59,3/12/19 18:35,ryanholbrook/critical-transitions,,
|
||||
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,3/30/21 0:09,31,15,1,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,,
|
||||
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2/19/21 13:40,8,9,1,1/29/18 5:14,7/19/18 6:25,chenbowen184/Data_Science_in_Applied_Corporate_Finance,,
|
||||
M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,12/21/20 14:42,3,3,1,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,,
|
||||
Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,12/21/20 14:42,3,3,1,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,,
|
||||
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,3/7/21 17:47,12,13,1,8/27/17 3:46,8/26/17 4:26,lnsongxf/Applied_Computational_Economics_and_Finance,,
|
||||
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,3/25/21 18:38,229,53,1,8/28/18 14:45,8/6/20 22:03,marketneutral/alphatools,,
|
||||
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,1/16/21 19:01,9,4,1,9/9/17 3:35,9/9/17 23:04,SeanMcOwen/FinanceAndPython.com-CorporateFinance,,
|
||||
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,3/29/21 10:26,661,426,9,1/21/17 11:24,8/1/20 17:03,Auquan/Tutorials,,
|
||||
Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2/3/21 7:22,9,4,1,12/20/18 0:21,3/26/19 11:51,pcmichaud/notebooks,,
|
||||
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,3/29/21 8:31,709,273,2,11/9/14 4:49,12/3/18 16:30,rsvp/fecon235,,
|
||||
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,10/6/20 21:01,2,3,1,5/25/17 2:27,6/30/17 3:53,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,,
|
||||
Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,3/28/21 2:22,17,7,3,8/2/18 2:48,3/16/19 18:39,AvijitGhosh82/Finance_Graph_Theory,,
|
||||
Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,10/6/20 21:01,1,3,1,1/24/19 13:37,2/13/19 16:48,sarachmax/MarketCrashes_Prediction,,
|
||||
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,3/19/21 22:01,139,61,2,9/12/17 13:35,8/6/20 12:35,PyDataBlog/Python-for-Data-Science,,
|
||||
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,3/1/21 13:53,31,18,1,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,,
|
||||
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,3/30/21 0:09,31,15,1,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,,
|
||||
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,11/4/20 7:04,4,5,1,8/7/17 14:44,8/8/17 22:52,Jorgencr/Alternative-and-Responsible-Investments,,
|
||||
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,3/1/21 13:53,31,18,1,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,,
|
||||
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,12/21/20 14:26,3,4,1,3/13/18 7:39,3/13/18 7:42,garvit-kudesia91/factor_analysis,,
|
||||
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,3/12/21 22:42,171,59,3,5/1/17 7:36,2/9/21 9:36,alpha-miner/alpha-mind,,
|
||||
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,3/30/21 0:09,21,16,1,10/4/15 9:10,3/28/20 18:33,mrefermat/FinancePhD,,
|
||||
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,11/4/20 7:19,17,9,1,6/26/18 20:36,10/22/19 21:56,ssanderson/convex-optimization-for-finance,,
|
||||
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,10/6/20 20:29,9,9,1,11/15/16 19:24,1/14/17 21:19,willb/var-notebook,,
|
||||
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,3/27/21 13:15,1294,791,1,12/15/14 11:23,7/10/18 6:38,yhilpisch/py4fi,,
|
||||
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,3/30/21 6:28,1835,691,17,6/3/16 21:49,4/27/20 18:40,quantopian/alphalens,,
|
||||
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,3/30/21 15:14,3633,1143,42,6/1/15 15:31,2/28/20 17:30,quantopian/pyfolio,,
|
||||
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,3/20/21 21:53,41,28,1,8/6/18 16:09,11/22/20 19:02,hamaadshah/market_risk_gan_keras,,
|
||||
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,12/10/20 21:20,3,3,1,7/18/18 19:26,7/18/18 19:34,RobinsonGarcia/fixed-income,,
|
||||
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,1/3/21 21:46,7,5,1,9/27/17 19:57,9/27/17 20:00,ishank011/gs-quantify-bond-prediction,,
|
||||
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,10/6/20 20:55,1,2,1,2/2/19 8:44,5/3/19 17:16,hy-lei/math-finance-exercise,,
|
||||
Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,
|
||||
Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms.,Other Models,3/2/21 19:44,31,31,1,3/20/17 18:54,4/25/17 23:35,BlackArbsCEO/Mixture_Models,,
|
||||
Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,3/12/21 13:21,166,73,1,12/11/17 17:05,5/13/20 23:50,BlackArbsCEO/mixture_model_trading_public,,
|
||||
Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts.,Other Models,3/21/21 19:26,379,126,1,7/22/18 8:14,2/17/21 14:39,Hvass-Labs/FinanceOps,,
|
||||
Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,Using python and scikit-learn to make stock predictions.,Other Models,3/30/21 18:11,919,344,2,2/12/17 4:50,2/4/21 3:48,robertmartin8/MachineLearningStocks,,
|
||||
Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement.,Other Models,3/28/21 16:31,2157,678,1,9/12/16 18:38,8/29/18 20:27,anfederico/Clairvoyant,,
|
||||
Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,
|
||||
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,
|
||||
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,
|
||||
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,
|
||||
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,3/30/21 3:37,1865,476,16,5/29/18 13:30,2/25/21 13:01,robertmartin8/PyPortfolioOpt,,
|
||||
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,3/30/21 13:34,303,57,2,2/2/20 8:46,2/16/21 18:50,jankrepl/deepdow,,
|
||||
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,,,,,,,,,
|
||||
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,12/16/20 17:28,6,3,1,7/26/16 16:20,12/30/16 11:40,charlessutton/OLMAR,,
|
||||
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,,,,,,,,,
|
||||
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,12/25/20 9:39,14,5,1,8/1/18 19:48,9/5/19 11:18,otosman/Python-for-Finance,,
|
||||
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,3/30/21 14:21,1274,629,6,11/12/17 16:08,5/9/19 9:50,ZhengyaoJiang/PGPortfolio,,
|
||||
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,1/30/21 13:50,104,58,1,2/10/17 9:03,3/8/18 16:47,tcloaa/Deep-Portfolio-Theory,,
|
||||
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,3/30/21 0:01,104,57,1,2/17/18 8:19,2/27/18 13:16,tthustla/efficient_frontier,,
|
||||
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,3/29/21 3:47,364,150,1,10/7/17 9:14,6/26/18 9:22,filangel/qtrader,,
|
||||
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,3/18/21 22:35,229,82,3,11/16/18 12:20,7/4/19 1:41,VivekPa/OptimalPortfolio,,
|
||||
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,3/27/21 2:19,241,114,1,5/18/17 16:47,5/18/17 16:56,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,,
|
||||
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Reinforcement Learning,3/29/21 11:10,1340,490,3,6/11/16 7:27,1/22/18 14:35,deependersingla/deep_trader,,
|
||||
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Reinforcement Learning,3/28/21 22:14,712,299,1,10/4/16 14:42,12/23/16 7:34,kh-kim/stock_market_reinforcement_learning,,
|
||||
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Reinforcement Learning,3/29/21 1:02,575,204,1,9/21/17 17:05,4/13/18 16:33,samre12/deep-trading-agent,,
|
||||
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Reinforcement Learning,3/25/21 19:14,140,55,1,10/21/16 2:47,4/7/17 8:11,jjakimoto/DQN,,
|
||||
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Reinforcement Learning,1/3/21 4:36,32,7,5,1/16/19 0:43,3/19/20 20:28,gstenger98/rl-finance,,
|
||||
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Reinforcement Learning,,,,,,,,,
|
||||
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,10/6/20 18:46,3,2,1,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,,
|
||||
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,1/21/21 8:07,47,27,1,6/23/17 0:05,1/26/19 3:35,EricHe98/Financial-Statements-Text-Analysis,,
|
||||
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,3/24/21 2:52,68,31,1,7/2/18 23:50,1/31/19 14:08,yuriak/DLQuant,,
|
||||
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,10/22/20 16:32,7,7,1,6/4/18 20:54,6/4/18 20:56,MAydogdu/TextualAnalysis,,
|
||||
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,3/21/21 7:39,73,42,1,10/25/17 7:10,6/5/20 3:28,TiesdeKok/Python_NLP_Tutorial,,
|
||||
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,3/30/21 3:25,106,50,2,5/24/17 12:36,8/7/19 21:47,GitiHubi/deepAI,,
|
||||
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,10/6/20 18:54,1,4,1,2/4/18 21:51,2/4/18 21:57,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,,
|
||||
Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,12/17/20 8:24,3,3,1,12/30/17 8:56,1/11/18 2:11,lin882/WebAnalyticsProject,,
|
||||
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,
|
||||
PCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,"PCA, Factor Returns, and trading strategies.",Unsupervised,,,,,,,joelQF/quant-finance,,
|
||||
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,10/6/20 18:51,4,5,1,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,,
|
||||
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,3/8/21 11:01,78,36,0,9/5/17 19:19,9/27/17 20:42,marketneutral/pairs-trading-with-ML,,
|
||||
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,10/6/20 18:51,4,5,1,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,,
|
||||
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,10/20/20 11:05,32,12,1,6/21/17 4:47,6/21/17 4:51,ml-hongkong/stock2vec,,
|
||||
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,10/6/20 18:46,3,2,1,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,,
|
||||
name,url,comment,category,last_update,star_count,fork_count,contributors_count,created_at,last_commit,repo_path,repo_status,rating,finml_added_date
|
||||
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,,,,,,,tr7200/National-Culture-and-Venture-Capital-Monitoring,,,
|
||||
Private Equity,https://github.com/TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity/blob/master/RightNow%20Technologies/RightNow%20Technologies.ipynb,Valuation models.,Alternative Finance,11/26/20 3:34,8,6,2,1/27/16 21:13,3/14/16 20:03,TheVinhLuong102/ChicagoBooth-EntrepreneurialFinancePrivateEquity,inactive,,
|
||||
VC OLS,https://github.com/fionawhitefield/venture-capital-ols/blob/master/sec_project.ipynb,VC regression.,Alternative Finance,10/6/20 20:56,2,1,1,3/29/18 23:31,3/29/18 23:33,fionawhitefield/venture-capital-ols,inactive,,
|
||||
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,1/14/21 22:41,4,2,1,2/8/17 18:39,4/27/17 22:55,alporter08/Luxury-Watch-Valuation,inactive,,
|
||||
Art Valuation,https://github.com/ahmedhosny/theGreenCanvas/blob/gh-pages/ImageProcessing1210.ipynb,Art evaluation analytics.,Alternative Finance,2/26/21 12:10,9,5,1,12/11/14 0:25,12/12/14 21:25,ahmedhosny/theGreenCanvas,inactive,,
|
||||
Blockchain,https://github.com/nud3l/dInvest,Repository for distributed autonomous investment banking.,Alternative Finance,2/6/21 7:38,12,7,2,9/5/16 19:12,4/24/17 10:48,nud3l/dInvest,inactive,,
|
||||
Venture Capital,https://github.com/julian-chan/etothex,Insight into a new founder to make data-driven investment decisions.,Alternative Finance,10/6/20 20:56,3,2,1,12/4/17 8:59,12/13/17 5:35,julian-chan/etothex,inactive,,
|
||||
Kiva Crowdfunding,https://github.com/CJL89/Kiva-Crowdfunding/blob/master/Kiva%20Crowdfunding.ipynb,Exploratory data analysis.,Alternative Finance,2/19/21 13:40,5,1,1,2/27/18 16:46,2/13/19 0:15,CJL89/Kiva-Crowdfunding,inactive,,
|
||||
NYU FRE,https://engineering.nyu.edu/academics/departments/finance-and-risk-engineering,Finance and Risk Engineering (NYU Tandon),Colleges Centers and Departments,,,,,,,,,,
|
||||
Cornell University,https://www.cornell.edu/,,Colleges Centers and Departments,,,,,,,,,,
|
||||
Stanford Advanced Financial Technologies,https://fintech.stanford.edu/,Stanford Advanced Financial Technologies Laboratory,Colleges Centers and Departments,,,,,,,,,,
|
||||
NYU Courant,https://cims.nyu.edu/,"Courant Institute of Mathematical Sciences, New York University",Colleges Centers and Departments,,,,,,,,,,
|
||||
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,,,,,,,,,,
|
||||
Oxford Man,https://www.oxford-man.ox.ac.uk/,Oxford-Man Institute of Quantitative Finance,Colleges Centers and Departments,,,,,,,,,,
|
||||
Algo Trading,https://github.com/JCreeks/Machine-Learning-in-Finance/tree/master/0_Intro_to_Algo_Trading,Intro to algo trading.,Courses,3/12/21 11:02,64,25,1,10/29/17 20:34,1/22/19 6:56,JCreeks/Machine-Learning-in-Finance,inactive,,
|
||||
Basic Derivatives,https://github.com/SeanMcOwen/FinanceAndPython.com-Derivatives,Basic forward contracts and hedging.,Courses,3/31/21 2:08,4,4,1,8/24/17 0:11,10/13/17 1:32,SeanMcOwen/FinanceAndPython.com-Derivatives,inactive,,
|
||||
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,3/31/21 11:07,3663,1145,7,5/9/18 12:33,3/19/21 14:10,stefan-jansen/machine-learning-for-trading,active,,
|
||||
Mathematical Finance,https://github.com/yadongli/nyumath2048,NYU Math-GA 2048: Scientific Computing in Finance.,Courses,1/14/21 18:01,69,63,6,1/25/15 21:10,3/25/20 4:24,yadongli/nyumath2048,active,,
|
||||
Python for Finance,https://github.com/siaen/python_finance_course,CEU python for finance course material.,Courses,3/31/21 2:08,16,15,4,12/12/17 11:54,2/25/20 20:31,siaen/python_finance_course,active,,
|
||||
Risk Management,https://github.com/andrey-lukyanov/Risk-Management,Finance risk engagement course resources.,Courses,11/12/20 0:49,6,5,3,10/3/18 16:26,12/13/18 8:04,andrey-lukyanov/Risk-Management,inactive,,
|
||||
Handson Python for Finance,https://github.com/PacktPublishing/Hands-on-Python-for-Finance,Hands-on Python for Finance published by Packt.,Courses,3/26/21 22:26,120,107,3,8/20/18 14:10,1/15/21 8:57,PacktPublishing/Hands-on-Python-for-Finance,active,,
|
||||
Basic Investments,https://github.com/SeanMcOwen/FinanceAndPython.com-Investments,Basic investment tools in python.,Courses,3/23/21 6:32,9,5,1,8/2/17 21:52,8/17/17 3:24,SeanMcOwen/FinanceAndPython.com-Investments,inactive,,
|
||||
ML Specialisation,https://github.com/Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,Machine Learning in Finance.,Courses,3/31/21 2:08,33,31,1,1/24/19 2:55,1/3/20 21:54,Ahmed0028/Machine-Learning-and-Reinforcement-Learning-in-Finance-Specialization,active,,
|
||||
Basic Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-BasicFinance,Source code notebooks basic finance applications.,Courses,3/31/21 2:09,10,8,1,5/6/17 2:39,6/21/17 4:04,SeanMcOwen/FinanceAndPython.com-BasicFinance,inactive,,
|
||||
https://fred.stlouisfed.org/,https://fred.stlouisfed.org/,,Data,,,,,,,,,,
|
||||
Financial Corporate,http://raw.rutgers.edu/Corporate%20Financial%20Data.html,,Data,,,,,,,,,,
|
||||
https://github.com/timestocome/StockMarketData,https://github.com/timestocome/StockMarketData,,Data,3/26/21 22:35,7,6,1,5/10/17 21:49,8/6/17 19:23,timestocome/StockMarketData,,,
|
||||
https://stooq.com,https://stooq.com,,Data,,,,,,,,,,
|
||||
http://finance.yahoo.com/,http://finance.yahoo.com/,,Data,,,,,,,,,,
|
||||
Non-financial Corporate,http://raw.rutgers.edu/Non-Financial%20Corporate%20Data.html,,Data,,,,,,,,,,
|
||||
Rating Industries,http://www.ratingshistory.info/,,Data,,,,,,,,,,
|
||||
Capital Markets Data,https://www.capitalmarketsdata.com/,,Data,,,,,,,,,,
|
||||
IRS,http://social-metrics.org/sox/,,Data,,,,,,,,,,
|
||||
Web Scraping (FirmAI),https://github.com/firmai/business-machine-learning/blob/master/www.firmai.org/data,,Data,3/28/21 12:43,576,183,2,2/19/19 19:02,7/22/20 16:48,firmai/business-machine-learning,,,
|
||||
SEC Parsing,https://github.com/healthgradient/sec-doc-info-extraction/blob/master/classify_sections_containing_relevant_information.ipynb,,Data,2/27/21 6:34,9,6,1,6/16/18 14:30,6/16/18 17:23,healthgradient/sec-doc-info-extraction,,,
|
||||
Open Edgar,https://github.com/LexPredict/openedgar,,Data,3/31/21 6:16,166,61,6,5/7/18 15:32,5/15/19 8:32,LexPredict/openedgar,active,,
|
||||
EDGAR,https://github.com/TiesdeKok/UW_Python_Camp/blob/master/Materials/Session_5/EDGAR_walkthrough.ipynb,,Data,1/23/21 19:22,11,10,1,6/11/18 22:51,7/10/18 18:03,TiesdeKok/UW_Python_Camp,inactive,,
|
||||
Employee Count SEC Filings,https://github.com/healthgradient/sec_employee_information_extraction,,Data,2/27/21 3:33,10,2,1,6/26/18 23:33,8/14/18 1:31,healthgradient/sec_employee_information_extraction,,,
|
||||
Advanced ML II,https://github.com/hudson-and-thames/research,More implementations of Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,,,,,,,hudson-and-thames/research,,,
|
||||
Advanced ML,https://github.com/BlackArbsCEO/Adv_Fin_ML_Exercises,Exercises too Financial Machine Learning (De Prado).,Data Processing Techniques and Transformations,3/30/21 21:50,958,434,4,4/25/18 17:22,1/16/20 17:25,BlackArbsCEO/Adv_Fin_ML_Exercises,,,
|
||||
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",Deep Learning,3/31/21 6:59,528,135,1,11/26/18 3:23,1/1/21 9:41,cbailes/awesome-deep-trading,active,4,3/31/21 8:00
|
||||
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 ,Deep Learning,3/31/21 9:46,285,137,1,8/13/18 10:44,1/23/20 4:41,pskrunner14/trading-bot,active,3,3/31/21 8:00
|
||||
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. ",Deep Learning,3/30/21 7:29,319,158,2,2/16/19 21:18,11/29/20 20:12,Rachnog/Advanced-Deep-Trading,active,3,3/31/21 8:00
|
||||
deep-RL-trading,https://github.com/golsun/deep-RL-trading,NEW,Deep Learning,3/25/21 17:52,231,109,1,2/25/18 17:41,12/1/20 22:06,golsun/deep-RL-trading,active,3,3/31/21 8:00
|
||||
FinRL-Library,https://github.com/AI4Finance-LLC/FinRL-Library,NEW,Deep Learning,3/31/21 15:40,1780,423,22,7/26/20 13:18,3/28/21 13:46,AI4Finance-LLC/FinRL-Library,active,5,3/31/21 8:00
|
||||
RLTrader,https://github.com/notadamking/RLTrader,NEW,Deep Learning,3/30/21 14:02,1300,448,15,4/27/19 18:35,10/17/19 16:25,notadamking/RLTrader,active,5,3/31/21 8:00
|
||||
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,Deep Learning,3/31/21 15:40,542,238,6,7/26/20 13:12,1/21/21 18:11,AI4Finance-LLC/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020,active,4,3/31/21 8:00
|
||||
BitcoinForecast,https://github.com/PiSimo/BitcoinForecast,NEW,Deep Learning,3/29/21 5:38,287,127,3,3/10/17 10:52,6/11/18 8:07,PiSimo/BitcoinForecast,inactive,3,3/31/21 8:00
|
||||
AutomatedStockTrading-DeepQ-Learning,https://github.com/sachink2010/AutomatedStockTrading-DeepQ-Learning,NEW,Deep Learning,3/24/21 1:11,134,51,2,2/23/19 12:01,2/25/20 18:16,sachink2010/AutomatedStockTrading-DeepQ-Learning,active,3,3/31/21 8:00
|
||||
Personae,https://github.com/Ceruleanacg/Personae,NEW,Deep Learning,3/31/21 15:38,1142,332,2,3/10/18 11:22,9/2/18 17:21,Ceruleanacg/Personae,inactive,5,3/31/21 8:00
|
||||
Deep-Reinforcement-Stock-Trading,https://github.com/Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,NEW,Deep Learning,3/30/21 17:57,140,40,2,5/19/19 22:20,9/27/20 19:22,Albert-Z-Guo/Deep-Reinforcement-Stock-Trading,active,3,3/31/21 8:00
|
||||
Deep-Learning-Machine-Learning-Stock,https://github.com/LastAncientOne/Deep-Learning-Machine-Learning-Stock,NEW,Deep Learning,3/25/21 17:56,251,93,1,9/29/18 23:38,3/18/21 3:16,LastAncientOne/Deep-Learning-Machine-Learning-Stock,active,3,3/31/21 8:00
|
||||
trading-rl,https://github.com/Kostis-S-Z/trading-rl,NEW,Deep Learning,3/31/21 16:01,179,38,2,4/22/19 10:03,9/28/20 9:07,Kostis-S-Z/trading-rl,active,3,3/31/21 8:00
|
||||
DQN-DDPG_Stock_Trading,https://github.com/AI4Finance-LLC/DQN-DDPG_Stock_Trading,NEW,Deep Learning,3/31/21 15:40,134,49,4,9/19/18 3:17,11/26/20 16:58,AI4Finance-LLC/DQN-DDPG_Stock_Trading,active,3,3/31/21 8:00
|
||||
Stock-Prediction-Models,https://github.com/huseinzol05/Stock-Prediction-Models,NEW,Deep Learning,3/31/21 8:38,3584,1520,2,12/18/17 10:49,1/5/21 10:31,huseinzol05/Stock-Prediction-Models,active,5,3/31/21 8:00
|
||||
Deep-Reinforcement-Learning-in-Trading,https://github.com/saeed349/Deep-Reinforcement-Learning-in-Trading,NEW,Deep Learning,3/31/21 10:40,137,66,1,5/11/18 0:52,10/26/19 14:22,saeed349/Deep-Reinforcement-Learning-in-Trading,active,3,3/31/21 8:00
|
||||
crypto-rl,https://github.com/sadighian/crypto-rl,NEW,Deep Learning,3/29/21 21:17,339,110,1,6/21/18 1:06,11/5/20 11:08,sadighian/crypto-rl,active,3,3/31/21 8:00
|
||||
DeepLearningInFinance,https://github.com/sonaam1234/DeepLearningInFinance,NEW,Deep Learning,3/8/21 13:09,266,145,1,8/21/17 16:00,8/21/17 17:23,sonaam1234/DeepLearningInFinance,inactive,3,3/31/21 8:00
|
||||
LTSM GRU,https://github.com/RajatHanda/Finance-Forecasting,Stock Market Forecasting using LSTM\GRU.,Deep Learning,3/29/21 23:59,11,6,1,5/13/18 2:39,2/25/19 0:26,RajatHanda/Finance-Forecasting,active,3,
|
||||
Deep Learning,https://github.com/keon/deepstock,Technical experimentations to beat the stock market using deep learning.,Deep Learning,3/24/21 14:45,427,154,2,12/12/16 2:15,3/4/17 8:37,keon/deepstock,inactive,4,
|
||||
Deep Learning II,https://github.com/LiamConnell/deep-algotrading/tree/master/notebooks,Tensorflow Regression.,Deep Learning,3/21/21 6:53,174,68,1,7/12/16 12:56,2/16/18 2:43,LiamConnell/deep-algotrading,inactive,3,
|
||||
Deep Learning III,https://github.com/Rachnog/Deep-Trading,Algorithmic trading with deep learning experiments.,Deep Learning,3/26/21 6:28,1262,675,1,6/18/16 18:23,8/7/18 15:24,Rachnog/Deep-Trading,inactive,5,
|
||||
Deep Learning IV,https://github.com/achillesrasquinha/bulbea,Bulbea: Deep Learning based Python Library.,Deep Learning,3/28/21 15:58,1448,416,1,3/9/17 6:11,3/19/17 7:42,achillesrasquinha/bulbea,active,5,
|
||||
AI Trading,https://github.com/borisbanushev/stockpredictionai/blob/master/readme2.md,AI to predict stock market movements.,Deep Learning,3/29/21 14:35,2852,1379,1,1/9/19 8:02,2/11/19 16:32,borisbanushev/stockpredictionai,inactive,5,
|
||||
Neural Network,https://github.com/VivekPa/IntroNeuralNetworks,Neural networks to predict stock prices.,Deep Learning,3/30/21 18:13,488,177,2,9/10/18 6:34,11/21/18 7:39,VivekPa/IntroNeuralNetworks,inactive,4,
|
||||
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,3/16/21 4:35,218,83,1,8/5/18 2:13,10/1/18 11:25,imhgchoi/Corr_Prediction_ARIMA_LSTM_Hybrid,active,3,
|
||||
LTSM Recurrent,https://github.com/VivekPa/AIAlpha,OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network.,Deep Learning,3/30/21 3:12,1198,370,2,10/7/18 3:58,8/3/19 9:00,VivekPa/AIAlpha,active,4,
|
||||
Computational Derivatives,https://github.com/chenbowen184/Computational_Finance,Projects focusing on investigating simulations and computational techniques applied in finance.,Derivatives and Hedging,1/12/21 12:22,17,12,1,1/29/18 5:01,8/2/18 5:56,chenbowen184/Computational_Finance,,,
|
||||
Delta Hedging,https://github.com/RobinsonGarcia/delta-hedging,Advanced derivatives.,Derivatives and Hedging,2/27/21 8:48,3,2,1,3/2/18 23:53,7/17/18 23:32,RobinsonGarcia/delta-hedging,,,
|
||||
Options Risk Measures,https://github.com/wanglouis49/risk_estimation,Efficient financial risk estimation via computer experiment design (regression + variance-reduced sampling).,Derivatives and Hedging,10/6/20 20:37,1,2,1,4/29/16 3:51,1/16/18 1:24,wanglouis49/risk_estimation,,,
|
||||
Derivatives Python,https://github.com/yhilpisch/dawp/tree/master/python36,Derivative analytics with Python.,Derivatives and Hedging,3/23/21 15:35,387,297,1,7/9/15 12:27,2/22/21 13:29,yhilpisch/dawp,,,
|
||||
Options,https://github.com/PHBS/2018.M1.ASP/tree/master/py,Black Scholes and Copula.,Derivatives and Hedging,,,,,,,PHBS/2018.M1.ASP,,,
|
||||
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,2/27/21 8:50,2,3,1,5/22/18 18:27,5/22/18 18:30,rstreppa/valuation-OptionStrategies,,,
|
||||
Black Scholes,https://github.com/irajwani/numerical_methods_python/blob/master/black_scholes.ipynb,Options pricing.,Derivatives and Hedging,10/6/20 20:36,1,2,0,12/9/17 18:50,7/9/18 9:48,irajwani/numerical_methods_python,,,
|
||||
Hull White,https://github.com/rstreppa/valuation-callables-HullWhite/blob/master/CallableBond_HullWhite.ipynb,"Callable Bond, Hull White.",Derivatives and Hedging,10/6/20 20:37,4,6,1,6/6/18 22:06,6/6/18 22:27,rstreppa/valuation-callables-HullWhite,,,
|
||||
Reinforcement Learning,https://github.com/FinTechies/HedgingRL,Hedging portfolios with reinforcement learning.,Derivatives and Hedging,1/20/21 8:12,16,9,1,4/21/17 10:58,8/2/17 21:41,FinTechies/HedgingRL,,,
|
||||
Volatility and Variance Derivatives,https://github.com/yhilpisch/lvvd/tree/master/lvvd,Volatility derivatives analytics.,Derivatives and Hedging,3/23/21 12:10,78,77,1,10/21/16 4:12,2/22/21 13:32,yhilpisch/lvvd,,,
|
||||
Options,https://github.com/QuantConnect/Tutorials/tree/master/06%20Introduction%20to%20Options%5B%5D,Introduction to options.,Derivatives and Hedging,3/27/21 22:51,328,164,36,7/28/17 15:48,3/17/21 17:17,QuantConnect/Tutorials,,,
|
||||
Derivative Markets,https://github.com/broughtj/Fin6470/tree/master/Notebooks,"The economics of futures, futures, options, and swaps.",Derivatives and Hedging,3/18/21 3:47,8,8,1,2/9/16 5:30,3/18/21 3:47,broughtj/Fin6470,,,
|
||||
Derman,https://github.com/rstreppa/valuation-convertibles-Goldman1994/blob/master/ConvertibleBond_Goldman1994_Derman.ipynb,Binomial tree for American call.,Derivatives and Hedging,10/6/20 20:37,1,3,1,5/18/18 18:08,9/21/18 19:59,rstreppa/valuation-convertibles-Goldman1994,,,
|
||||
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,,,,,,,aviroop1/Real_Estate_Property_Fraud,,,
|
||||
HFT,https://github.com/rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,High frequency trading.,Extended Research,3/29/21 17:04,742,331,1,7/21/16 5:14,2/14/17 16:47,rorysroes/SGX-Full-OrderBook-Tick-Data-Trading-Strategy,,,
|
||||
Deep Portfolio,https://github.com/DLColumbia/DL_forFinance,Deep learning for finance Predict volume of bonds.,Extended Research,1/12/21 11:48,27,20,2,5/8/18 19:34,5/9/18 15:39,DLColumbia/DL_forFinance,,,
|
||||
NLP Finance Papers,https://github.com/chenbowen184/Research_Documents_Curation_with_NLP,Curating quantitative finance papers using machine learning.,Extended Research,2/27/21 6:33,8,9,1,10/11/18 20:32,12/24/18 23:27,chenbowen184/Research_Documents_Curation_with_NLP,,,
|
||||
Simulation,https://github.com/chenbowen184/Computational_Finance,Investigating simulations as part of computational finance.,Extended Research,1/12/21 12:22,17,12,1,1/29/18 5:01,8/2/18 5:56,chenbowen184/Computational_Finance,,,
|
||||
Commodity,https://github.com/felipessalvatore/fin2vec/blob/master/src/Commodity2BR.ipynb,Commodity influence over Brazilian stocks.,Extended Research,,,,,,,felipessalvatore/fin2vec,,,
|
||||
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,11/28/20 3:02,25,6,0,1/4/19 12:30,2/18/19 9:55,AlexIoannides/pymc-stochastic-process,,,
|
||||
Currency PCA,https://github.com/shanemulqueen/python-finance-pca/blob/master/FX_spots_w_PCA.ipynb,Forex spots PCA.,Extended Research,10/26/20 0:55,3,1,1,3/12/19 21:11,3/12/19 22:09,shanemulqueen/python-finance-pca,,,
|
||||
Backtests,https://github.com/AlgoTraders/stock-analysis-engine,Trading data and algorithms.,Extended Research,3/30/21 2:32,613,162,3,9/16/18 20:00,9/5/20 13:01,AlgoTraders/stock-analysis-engine,,,
|
||||
High Frequency,https://github.com/cswaney/prickle,A Python toolkit for high-frequency trade research.,Extended Research,3/22/21 2:19,24,17,2,7/6/16 20:32,6/9/18 10:53,cswaney/prickle,,,
|
||||
Critical Transitions,https://github.com/ryanholbrook/critical-transitions,Detecting critical transitions in financial networks with topological data analysis.,Extended Research,1/30/21 11:50,10,3,1,1/22/19 10:59,3/12/19 18:35,ryanholbrook/critical-transitions,,,
|
||||
Liquidity and Momentum,https://github.com/mrefermat/quant_finance,Various factors and portfolio constructions.,Extended Research,3/30/21 0:09,31,15,1,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,,,
|
||||
Applied Corporate Finance,https://github.com/chenbowen184/Data_Science_in_Applied_Corporate_Finance,Studies the empirical behaviours in stock market.,Extended Research,2/19/21 13:40,8,9,1,1/29/18 5:14,7/19/18 6:25,chenbowen184/Data_Science_in_Applied_Corporate_Finance,,,
|
||||
M&A,https://github.com/atulram/Finance-and-Stocks,Mergers and Acquisitions.,Extended Research,12/21/20 14:42,3,3,1,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,,,
|
||||
Life-cycle,https://github.com/atulram/Finance-and-Stocks/blob/master/CompanyLifeCycle.ipynb,Company life cycle.,Extended Research,12/21/20 14:42,3,3,1,1/19/19 18:16,2/18/19 16:57,atulram/Finance-and-Stocks,,,
|
||||
Computational Finance,https://github.com/lnsongxf/Applied_Computational_Economics_and_Finance,Applied Computational Economics and Finance.,Extended Research,3/7/21 17:47,12,13,1,8/27/17 3:46,8/26/17 4:26,lnsongxf/Applied_Computational_Economics_and_Finance,,,
|
||||
Bayesian Finance,https://github.com/marketneutral/alphatools/blob/master/notebooks/pymc3-minimal.ipynb,Notebook PyMC3 implementation.,Extended Research,3/25/21 18:38,229,53,1,8/28/18 14:45,8/6/20 22:03,marketneutral/alphatools,,,
|
||||
Corporate Finance,https://github.com/SeanMcOwen/FinanceAndPython.com-CorporateFinance,Basic corporate finance.,Extended Research,1/16/21 19:01,9,4,1,9/9/17 3:35,9/9/17 23:04,SeanMcOwen/FinanceAndPython.com-CorporateFinance,,,
|
||||
Mathematical Finance,https://github.com/Auquan/Tutorials,Notebooks for math and financial tutorials.,Extended Research,3/29/21 10:26,661,426,9,1/21/17 11:24,8/1/20 17:03,Auquan/Tutorials,,,
|
||||
Behavioural Economics,https://github.com/pcmichaud/notebooks,Behavioural Economics and Finance Python Notebooks.,Extended Research,2/3/21 7:22,9,4,1,12/20/18 0:21,3/26/19 11:51,pcmichaud/notebooks,,,
|
||||
Financial Economics,https://github.com/rsvp/fecon235/tree/master/nb,Financial Economics Models.,Extended Research,3/29/21 8:31,709,273,2,11/9/14 4:49,12/3/18 16:30,rsvp/fecon235,,,
|
||||
Economic Foundations,https://github.com/SeanMcOwen/FinanceAndPython.com-EconomicFoundations,Basic economic models.,Extended Research,10/6/20 21:01,2,3,1,5/25/17 2:27,6/30/17 3:53,SeanMcOwen/FinanceAndPython.com-EconomicFoundations,,,
|
||||
Finance Graph Theory,https://github.com/AvijitGhosh82/Finance_Graph_Theory,Modelling Contentedness of Firms in Financial Markets with Heterogeneous Agents.,Extended Research,3/28/21 2:22,17,7,3,8/2/18 2:48,3/16/19 18:39,AvijitGhosh82/Finance_Graph_Theory,,,
|
||||
Market Crash Prediction,https://github.com/sarachmax/MarketCrashes_Prediction/blob/master/LPPL_Comparasion.ipynb,Predicting market crashes using an LPPL model.,Extended Research,10/6/20 21:01,1,3,1,1/24/19 13:37,2/13/19 16:48,sarachmax/MarketCrashes_Prediction,,,
|
||||
Risk and Return,https://github.com/PyDataBlog/Python-for-Data-Science/tree/master/Tutorials,Riskiness of portfolios and assets.,Factor and Risk Analysis,3/19/21 22:01,139,61,2,9/12/17 13:35,8/6/20 12:35,PyDataBlog/Python-for-Data-Science,,,
|
||||
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,3/1/21 13:53,31,18,1,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,,,
|
||||
Quant Finance,https://github.com/mrefermat/quant_finance,General quant repository.,Factor and Risk Analysis,3/30/21 0:09,31,15,1,8/11/18 22:59,11/12/19 4:49,mrefermat/quant_finance,,,
|
||||
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,11/4/20 7:04,4,5,1,8/7/17 14:44,8/8/17 22:52,Jorgencr/Alternative-and-Responsible-Investments,,,
|
||||
CAPM,https://github.com/RJT1990/Active-Portfolio-Management-Notes/blob/master/Chapter%202%2C%20CAPM.ipynb,Expected returns using CAPM.,Factor and Risk Analysis,3/1/21 13:53,31,18,1,5/10/16 11:03,5/17/16 3:44,RJT1990/Active-Portfolio-Management-Notes,,,
|
||||
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,12/21/20 14:26,3,4,1,3/13/18 7:39,3/13/18 7:42,garvit-kudesia91/factor_analysis,,,
|
||||
Factor Analysis,https://github.com/alpha-miner/alpha-mind/tree/master/notebooks,Factor strategy notebooks.,Factor and Risk Analysis,3/12/21 22:42,171,59,3,5/1/17 7:36,2/9/21 9:36,alpha-miner/alpha-mind,,,
|
||||
Statistical Finance,https://github.com/mrefermat/FinancePhD/tree/master/FinancialExperiments,Various financial experiments.,Factor and Risk Analysis,3/30/21 0:09,21,16,1,10/4/15 9:10,3/28/20 18:33,mrefermat/FinancePhD,,,
|
||||
Convex Optimisation,https://github.com/ssanderson/convex-optimization-for-finance/blob/master/notebooks/Main.ipynb,Convex Optimization for Finance.,Factor and Risk Analysis,11/4/20 7:19,17,9,1,6/26/18 20:36,10/22/19 21:56,ssanderson/convex-optimization-for-finance,,,
|
||||
VaR,https://github.com/willb/var-notebook/blob/master/var-notebook/var-pdfs.ipynb,Value-at-risk calculations.,Factor and Risk Analysis,10/6/20 20:29,9,9,1,11/15/16 19:24,1/14/17 21:19,willb/var-notebook,,,
|
||||
Python for Finance,https://github.com/yhilpisch/py4fi/tree/master/jupyter36,Various financial notebooks.,Factor and Risk Analysis,3/27/21 13:15,1294,791,1,12/15/14 11:23,7/10/18 6:38,yhilpisch/py4fi,,,
|
||||
Performance Analysis,https://github.com/quantopian/alphalens,Performance analysis of predictive (alpha) stock factors.,Factor and Risk Analysis,3/30/21 6:28,1835,691,17,6/3/16 21:49,4/27/20 18:40,quantopian/alphalens,,,
|
||||
Pyfolio,https://github.com/quantopian/pyfolio,Portfolio and risk analytics in Python.,Factor and Risk Analysis,3/30/21 15:14,3633,1143,42,6/1/15 15:31,2/28/20 17:30,quantopian/pyfolio,,,
|
||||
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,3/20/21 21:53,41,28,1,8/6/18 16:09,11/22/20 19:02,hamaadshah/market_risk_gan_keras,,,
|
||||
Vasicek,https://github.com/RobinsonGarcia/fixed-income/blob/master/2.0%20Vasicek%20-%20example.ipynb,Bootstrapping and interpolation.,Fixed Income,12/10/20 21:20,3,3,1,7/18/18 19:26,7/18/18 19:34,RobinsonGarcia/fixed-income,,,
|
||||
Corporate Bonds,https://github.com/ishank011/gs-quantify-bond-prediction,Predicting the buying and selling volume of the corporate bonds.,Fixed Income,1/3/21 21:46,7,5,1,9/27/17 19:57,9/27/17 20:00,ishank011/gs-quantify-bond-prediction,,,
|
||||
Binomial Tree,https://github.com/hy-lei/math-finance-exercise,Utility functions in fixed income securities.,Fixed Income,10/6/20 20:55,1,2,1,2/2/19 8:44,5/3/19 17:16,hy-lei/math-finance-exercise,,,
|
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Trend Following,http://inseaddataanalytics.github.io/INSEADAnalytics/ExerciseSet2.html,A futures trend following portfolio investment strategy.,Other Models,,,,,,,,,,
|
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Mixture Models I,https://github.com/BlackArbsCEO/Mixture_Models,Mixture models to predict market bottoms.,Other Models,3/2/21 19:44,31,31,1,3/20/17 18:54,4/25/17 23:35,BlackArbsCEO/Mixture_Models,,,
|
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Mixture Models II,https://github.com/BlackArbsCEO/mixture_model_trading_public,Mixture models and stock trading.,Other Models,3/12/21 13:21,166,73,1,12/11/17 17:05,5/13/20 23:50,BlackArbsCEO/mixture_model_trading_public,,,
|
||||
Fundamental LT Forecasts,https://github.com/Hvass-Labs/FinanceOps,Research in investment finance for long term forecasts.,Other Models,3/21/21 19:26,379,126,1,7/22/18 8:14,2/17/21 14:39,Hvass-Labs/FinanceOps,,,
|
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Scikit-learn Stock Prediction,https://github.com/robertmartin8/MachineLearningStocks,Using python and scikit-learn to make stock predictions.,Other Models,3/30/21 18:11,919,344,2,2/12/17 4:50,2/4/21 3:48,robertmartin8/MachineLearningStocks,,,
|
||||
Short-Term Movement Cues,https://github.com/anfederico/Clairvoyant,Identify social/historical cues for short term stock movement.,Other Models,3/28/21 16:31,2157,678,1,9/12/16 18:38,8/29/18 20:27,anfederico/Clairvoyant,,,
|
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Machine Learning in Asset Management,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3420952,,Personal Papers,,,,,,,,,,
|
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Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading Strategies,https://jfds.pm-research.com/content/2/1/10,,Personal Papers,,,,,,,,,,
|
||||
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization,https://jfds.pm-research.com/content/2/2/17,,Personal Papers,,,,,,,,,,
|
||||
Financial Event Prediction using Machine Learning,https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3481555,,Personal Papers,,,,,,,,,,
|
||||
PyPortfolioOpt,https://github.com/robertmartin8/PyPortfolioOpt,"Financial portfolio optimisation, including classical efficient frontier and advanced methods.",Portfolio Selection and Optimisation,3/30/21 3:37,1865,476,16,5/29/18 13:30,2/25/21 13:01,robertmartin8/PyPortfolioOpt,,,
|
||||
DeepDow,https://github.com/jankrepl/deepdow,Portfolio optimization with deep learning.,Portfolio Selection and Optimisation,3/30/21 13:34,303,57,2,2/2/20 8:46,2/16/21 18:50,jankrepl/deepdow,,,
|
||||
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,,,,,,,,,,
|
||||
OLMAR Algorithm,https://github.com/charlessutton/OLMAR/blob/master/Part3.ipynb,Relative importance of each component of the OLMAR algorithm.,Portfolio Selection and Optimisation,12/16/20 17:28,6,3,1,7/26/16 16:20,12/30/16 11:40,charlessutton/OLMAR,,,
|
||||
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,,,,,,,,,,
|
||||
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,12/25/20 9:39,14,5,1,8/1/18 19:48,9/5/19 11:18,otosman/Python-for-Finance,,,
|
||||
Policy Gradient Portfolio,https://github.com/ZhengyaoJiang/PGPortfolio,A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.,Portfolio Selection and Optimisation,3/30/21 14:21,1274,629,6,11/12/17 16:08,5/9/19 9:50,ZhengyaoJiang/PGPortfolio,,,
|
||||
Deep Portfolio Theory,https://github.com/tcloaa/Deep-Portfolio-Theory,Autoencoder framework for portfolio selection.,Portfolio Selection and Optimisation,1/30/21 13:50,104,58,1,2/10/17 9:03,3/8/18 16:47,tcloaa/Deep-Portfolio-Theory,,,
|
||||
Efficient Frontier,https://github.com/tthustla/efficient_frontier/blob/master/Efficient%20_Frontier_implementation.ipynb,Modern Portfolio Theory.,Portfolio Selection and Optimisation,3/30/21 0:01,104,57,1,2/17/18 8:19,2/27/18 13:16,tthustla/efficient_frontier,,,
|
||||
Reinforcement Learning,https://github.com/filangel/qtrader,Reinforcement Learning for Portfolio Management.,Portfolio Selection and Optimisation,3/29/21 3:47,364,150,1,10/7/17 9:14,6/26/18 9:22,filangel/qtrader,,,
|
||||
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,3/18/21 22:35,229,82,3,11/16/18 12:20,7/4/19 1:41,VivekPa/OptimalPortfolio,,,
|
||||
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,3/27/21 2:19,241,114,1,5/18/17 16:47,5/18/17 16:56,shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading,,,
|
||||
RL II,https://github.com/deependersingla/deep_trader,reinforcement learning on stock market and agent tries to learn trading.,Reinforcement Learning,3/29/21 11:10,1340,490,3,6/11/16 7:27,1/22/18 14:35,deependersingla/deep_trader,,,
|
||||
RL,https://github.com/kh-kim/stock_market_reinforcement_learning,OpenGym with Deep Q-learning and Policy Gradient.,Reinforcement Learning,3/28/21 22:14,712,299,1,10/4/16 14:42,12/23/16 7:34,kh-kim/stock_market_reinforcement_learning,,,
|
||||
RL III,https://github.com/samre12/deep-trading-agent,Github -Deep Reinforcement Learning based Trading Agent for Bitcoin.,Reinforcement Learning,3/29/21 1:02,575,204,1,9/21/17 17:05,4/13/18 16:33,samre12/deep-trading-agent,,,
|
||||
RL IV,https://github.com/jjakimoto/DQN,Reinforcement Learning for finance.,Reinforcement Learning,3/25/21 19:14,140,55,1,10/21/16 2:47,4/7/17 8:11,jjakimoto/DQN,,,
|
||||
RL V,https://github.com/gstenger98/rl-finance,Building an Agent to Trade with Reinforcement Learning.,Reinforcement Learning,1/3/21 4:36,32,7,5,1/16/19 0:43,3/19/20 20:28,gstenger98/rl-finance,,,
|
||||
RL Trading,https://colab.research.google.com/drive/1FzLCI0AO3c7A4bp9Fi01UwXeoc7BN8sW,A collection of 25+ Reinforcement Learning Trading Strategies -Google Colab.,Reinforcement Learning,,,,,,,,,,
|
||||
Fund classification,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Fund classification using text mining and NLP.,Textual,10/6/20 18:46,3,2,1,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,,,
|
||||
Financial Sentiment Analysis,https://github.com/EricHe98/Financial-Statements-Text-Analysis,"Sentiment, distance and proportion analysis for trading signals.",Textual,1/21/21 8:07,47,27,1,6/23/17 0:05,1/26/19 3:35,EricHe98/Financial-Statements-Text-Analysis,,,
|
||||
NLP Event,https://github.com/yuriak/DLQuant,Applying Deep Learning and NLP in Quantitative Trading.,Textual,3/24/21 2:52,68,31,1,7/2/18 23:50,1/31/19 14:08,yuriak/DLQuant,,,
|
||||
Financial Statement Sentiment,https://github.com/MAydogdu/TextualAnalysis,Extracting sentiment from financial statements using neural networks.,Textual,10/22/20 16:32,7,7,1,6/4/18 20:54,6/4/18 20:56,MAydogdu/TextualAnalysis,,,
|
||||
Extensive NLP,https://github.com/TiesdeKok/Python_NLP_Tutorial/blob/master/NLP_Notebook.ipynb,Comprehensive NLP techniques for accounting research.,Textual,3/21/21 7:39,73,42,1,10/25/17 7:10,6/5/20 3:28,TiesdeKok/Python_NLP_Tutorial,,,
|
||||
Accounting Anomalies,https://github.com/GitiHubi/deepAI/blob/master/GTC_2018_Lab-solutions.ipynb,Using deep-learning frameworks to identify accounting anomalies.,Textual,3/30/21 3:25,106,50,2,5/24/17 12:36,8/7/19 21:47,GitiHubi/deepAI,,,
|
||||
Buzzwords,https://github.com/swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,Return performance and mutual fund selection.,Textual,10/6/20 18:54,1,4,1,2/4/18 21:51,2/4/18 21:57,swap9047/Cutting-Edge-Technologies-Effect-on-S-P500-Companies-Performance-and-Mutual-Funds,,,
|
||||
Earning call transcripts,https://github.com/lin882/WebAnalyticsProject,Correlation between mutual fund investment decision and earning call transcripts.,Textual,12/17/20 8:24,3,3,1,12/30/17 8:56,1/11/18 2:11,lin882/WebAnalyticsProject,,,
|
||||
NLP,https://github.com/toamitesh/NLPinFinance,This project assembles a lot of NLP operations needed for finance domain.,Textual,,,,,,,toamitesh/NLPinFinance,,,
|
||||
PCA Pairs Trading,https://github.com/joelQF/quant-finance/tree/master/Artificial_IntelIigence_for_Trading,"PCA, Factor Returns, and trading strategies.",Unsupervised,,,,,,,joelQF/quant-finance,,,
|
||||
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Clustering of industries.,Unsupervised,10/6/20 18:51,4,5,1,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,,,
|
||||
Pairs Trading,https://github.com/marketneutral/pairs-trading-with-ML/blob/master/Pairs%2BTrading%2Bwith%2BMachine%2BLearning.ipynb,Finding pairs with cluster analysis.,Unsupervised,3/8/21 11:01,78,36,0,9/5/17 19:19,9/27/17 20:42,marketneutral/pairs-trading-with-ML,,,
|
||||
Industry Clustering,https://github.com/SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,Project to cluster industries according to financial attributes.,Unsupervised,10/6/20 18:51,4,5,1,7/21/17 2:12,7/23/17 2:53,SeanMcOwen/FinanceAndPython.com-ClusteringIndustries,,,
|
||||
VRA Stock Embedding,https://github.com/ml-hongkong/stock2vec,Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history.,Unsupervised,10/20/20 11:05,32,12,1,6/21/17 4:47,6/21/17 4:51,ml-hongkong/stock2vec,,,
|
||||
Fund Clusters,https://github.com/frechfrechfrech/Mutual-Fund-Market-Clusters/blob/master/Initial%20Data%20Exploration.ipynb,Data exploration of fund clusters.,Unsupervised,10/6/20 18:46,3,2,1,4/16/18 22:18,6/7/18 22:01,frechfrechfrech/Mutual-Fund-Market-Clusters,,,
|
||||
|
Reference in New Issue
Block a user