Analyzing correlation of CNN Fear & Greed Index with the release of macroeconomic indicators
Budget: $25 – $50 USD
1. Compare publication of macroeconomic indicators (https://www.census.gov/economic-indicators/calendar-listview-2021.html & https://www.census.gov/econcards/calendar-listview.html) - the release date, changes from the previous period and deviationы from expectations, if applicable – with changes of the Fear & Greed Index https://edition.cnn.com/markets/fear-and-greed
Conduct a correlation analysis, propose a regression model. Test hypotheses of how publications of macroeconomic indicators (separately and together, published on a monthly and quarterly basis) affects the dynamics of the index during the first 2 weeks after the publication of the indicators.
2. Build a neural network to predict the dynamics of the Fear & Greed Index, depending on the expectations of macroeconomic statistics.
3. Test the model for several months, calculate the reliability of the forecast. Suggest options to improve the quality of forecasting.
Conduct a correlation analysis, propose a regression model. Test hypotheses of how publications of macroeconomic indicators (separately and together, published on a monthly and quarterly basis) affects the dynamics of the index during the first 2 weeks after the publication of the indicators.
2. Build a neural network to predict the dynamics of the Fear & Greed Index, depending on the expectations of macroeconomic statistics.
3. Test the model for several months, calculate the reliability of the forecast. Suggest options to improve the quality of forecasting.