GitHub - dhdylanhuang/Stock-Trend-Prediction-and-Investment-Strategy-Optimisation-Using-Text-and-Time-Series-Data: The core objective is to model the dynamic behaviour of financial markets by learning representations of individual stocks and their interactions with broader market indicators. These representations are then used to infer future price movements, incorporating both historical trends and real-time signals such as trading volume and volatility.

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The core objective is to model the dynamic behaviour of financial markets by learning representations of individual stocks and their interactions with broader market indicators. These representations are then used to infer future price movements, incorporating both historical trends and real-time signals such as trading volume and volatility.

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Name		Name	Last commit message	Last commit date
Latest commit History 47 Commits
Dissertation		Dissertation
SectorAvgPlots		SectorAvgPlots
results		results
stocknet-dataset		stocknet-dataset
.DS_Store		.DS_Store
.gitignore		.gitignore
Benchmarking.ipynb		Benchmarking.ipynb
Data_PreProcessing_Master.ipynb		Data_PreProcessing_Master.ipynb
Data_PreProcessing_MetaFeatures.ipynb		Data_PreProcessing_MetaFeatures.ipynb
Data_PreProcessing_Sectors.ipynb		Data_PreProcessing_Sectors.ipynb
Invesment_Simulation_System.ipynb		Invesment_Simulation_System.ipynb
MultiClass_Benchmarking.ipynb		MultiClass_Benchmarking.ipynb
MultiClass_Invesment_Simulation_System.ipynb		MultiClass_Invesment_Simulation_System.ipynb
Results_Analysis.ipynb		Results_Analysis.ipynb