CZ1015 Data Science & AI project

Done by: Wilson Teng, Teo Kai Jie & Chen Jiaying

What we want to explore:

• CAN HAPPINESS BE USED FOR THE QUANTITATIVE ANALYSIS OF STOCK PRICES?

Data Sets from:

1. World Happiness Report
   http://worldhappiness.report/ed/2018/

2. Yahoo Finance
   https://finance.yahoo.com/

Our Presentation Slides:

https://docs.google.com/presentation/d/1x1IOCgFj1N7OclKIUDr1CZTfWvfybY8BrwkYoNanSbM/edit?usp=sharing

Conclusion:

While exponential smoothing methods (Eg. Holt-Winter Exponential Smoothing) and RNNs were somehow able to predict the trend, they were unable to produce results that had low MSE, possibly due to the model’s inability to learn from long-term dependencies.

Workload Distribution:

1. Wilson

Data Cleaning
LSTM RNN (Long Short-Term Memory Recurrent Neural Network)
Presentation Flow

2. Kai Jie

Data Cleaning
Visualisation (Plotly)
Dash

3. Jiaying

Visualisation (Plotly)
Dash
Presentation Flow