Hi Everyone,
Welcome to the ‘Buying and Selling Game’ Contest 5 results post. This post contains a video of the ‘Buying and Selling’ Excel Model generating the selling prices for each good in each city/town.
For the benefit of those who have not entered this contest, here is a brief explanation of how the game works.
Participants are required to buy goods with an allocated amount of money. They are given a choice of 6 goods and all these goods are available in any of the 5 towns, cities or planets in the game. The buying prices of all goods are provided in the question.
The participants are then required to sell all of their goods on a future date (I often refer to this as Day 7, to align with number days until post payout). The selling prices for all goods in all towns, cities or planets are not provided. Instead, the question provides a minimum, maximum, and mode selling price for each good in each town, city or planet.
The participant that has the most money after selling all his or her goods is the winner.
Responses to the contest are made in the comments section of the post. If several participants end up with the same amount of money, the person who entered (commented) first will win. The format of the required entry is explained in detail in the contest itself.
For a more detailed explanation, you can access the contest post using the following link.
Table 1 contains the selling prices generated by the ‘Buying and Selling’ Game model for each furniture item at each city/town.
The winner of the ‘Buying and Selling’ Game contest is the spoof entry by 
In Rich City, he bought a 3-seater Sofa for $180, a 2-seater Sofa for $170, and 2 recliners for $150 each. He paid total of $650.
In Modern City, he sold the 3-seater Sofa for $203.11 a 2-seater Sofa for $160.83, and 2 recliners for $154.16 each. He received a total of $672.26. Therefore, he made a profit of $22.26 (672.26 - 650).
The strategy that would have generated the highest profit would have been to buy 666 3-seater Sofas from Bright Town at $150 each and then selling them at Harbour City for $248.61 (as generated by the model). This would have generated a profit of $65,674.26.
Table 2 contains the lowest buying prices and the highest selling prices for each furniture item.
I would also like to thank the following participants for commenting and almost entering.
You missed a very good chance of winning. Don’t worry you will have another chance in a week’s time.
If you want to read any of my other posts, you can click on the links below. These links will lead you to posts containing my collection of works. These posts will be updated frequently.
@josediccus
@steemflow