#Commodities Market Analysis Commodities market data analyzer that makes predictions based on past performance

Todo:

1. Create menu that gives the user the option of analyzing either commodity price indices or individual commodity prices. 2. Menu should list the options based on the choice the user made in Step 1 3. Based off the user's selection from the menu in step 2, report to the user the years of data available for the user's choice 4. Present the user with a menu of types of graphs to choose from. Offer all of the following :

• The option to plot the price from a single month
• The option to plot the price for every month over a range of years specified by the user.
• The option to create a bar chart for every quarter (Jan-Mar, Apr- June, July-Sept, Oct-Dec) for a range of years specified by the user.
• The option to create a bar chart for every year over a range of years specified by the user.

5. Have a title listing the commodity price index or commodity price that is being plotted and the type of plot (those listed in #4 above) 6. Offer the option of predicting the future price of the individual commodity if the user has chosen one of the following:

• Copper
• Aluminum (LME)
• Cotton
• Cocoa

7. Carry out the prediction using an exponential moving average (EMA) on the data* 8. Use curve­fitting in order to obtain a predicted price. 9. Use curve­fitting results to generate the predicted price for the day the program is running. 10. Query the Internet

*Also need to devise strategy to deal with sudden and dramatic increase in price

11. Video.
12. Writeup.