Sarah learns about an artificial intelligence model trained by the platform, which takes into account various factors such as demand, local events, and historical data.

You're stepping into the role of Sarah, your goal is to maximize your profit from your listing. Here's the market data and the key information you have:

Current Situation: You're tasked with setting prices for a week. You'll receive information regarding your neighbors' current prices, their ratings, and number of bedrooms in their listings. Your neighbors have been listing their housings for a long time in this market. You also recieve a model price prediction. This model had access to all the data available and is trained by the platform.

You might have different personal costs and preferences when renting your listing which the model is not aware of it.

Pricing Details: Your objective is to make the best pricing decisions for your short-term rental listing, considering the available data. Keep in mind that you'll be competing with other neighbors in renting their listings. You will play this game for 6 times. Each time, your house and your neighbours are the same. The only thing that changes is the time of the year you are listing your house. Because of this shift in time both your cost and preferences and the demand for the place might change. You will only see which week of the year you are pricing. (Example week 2.) Good luck!