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Using supply chains to explore the impact of climate change on businesses
Fund management strategy that utilizes various datasets, including supply chains, social media data, news data, stock market time series data and others.
Deep Reinforcement Learning with Alternative Data
Market Prediction with Momentum, Sentiment and Supply Demand Dynamics
Fancy Idea
Time-series analysis, sarima model, Conv-lstm, pca
Generating alpha from things
An analysis of apple's sentiment and stock prices for apple supply chain
Using social media data to create alpha signals
Generate state of the art alpha signals described by the clusters’ attributes, adding new and more complex ways of describing a dataset on top of the conventional statistics such as mean and variance.
Read the powerpoint
Use reinforcement learning to predict actions on trading PTLA on the sentiment factors of JNJ
Using corporate speeches to predict acquisitions and merges.
Trump_Tweets
Intuitive modelling of supply side chains with exploratory neural networks
Capitalizing on ESG leading companies resilient beyond expectations
Evaluating the impact of ESG metrics on financial return metrics
Using social media data to predict AMZN stock price. If AMZN's stock price can be predicted with their social media statistics, then this can be easily expanded to model other companies.
Using At-LSTM trained on financial news and r/wallstreetbets to predict stock price changes
Looking into the various social media sentiment signals and using these to predict the price of a particular stock.
Predicting commodity futures in China and integrating supply chain and ESG data
Search Query = Stock Market
Team Repository for Algothon 2019
Detecting Alpha Signals with sentiment analysis and machine learning
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