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Expand Up @@ -113,6 +113,7 @@ Amin Hedayati et al. - Stock Market Index Prediction Using Artificial Neural Net
* Ziniu Hu et al. - Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction [[Link]](https://arxiv.org/abs/1712.02136v1)
* J.W. Leung, Master Thesis, MIT - Application of Machine Learning: Automated Trading Informed by Event Driven Data [[Link]](https://dspace.mit.edu/bitstream/handle/1721.1/105982/965785890-MIT.pdf?sequence=1)
* Xiao Ding et al. - Deep Learning for Event-Driven Stock Prediction [[Link]](http://www.aaai.org/ocs/index.php/IJCAI/IJCAI15/paper/download/11031/10986)
* Adanos Market Sentiment API - Cross-platform stock sentiment API combining Reddit, X/Twitter and Polymarket signals for event-driven and sentiment-aware trading research [[Link]](https://api.adanos.org/docs/)

## Reinforcement Learning environments
* :star: TradingGym [[Link]](https://github.com/Yvictor/TradingGym)
Expand Down Expand Up @@ -153,4 +154,3 @@ Amin Hedayati et al. - Stock Market Index Prediction Using Artificial Neural Net
* Deep-Reinforcement-Learning-in-Stock-Trading - Using deep actor-critic model to learn best strategies in pair trading [[Link]](https://github.com/shenyichen105/Deep-Reinforcement-Learning-in-Stock-Trading)
* Stock-Price-Prediction-LSTM - OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network [[Link]](https://github.com/NourozR/Stock-Price-Prediction-LSTM)