Hey there! Let's explore the real estate market together.
Features and Functions
Knowledge file:
Python: The GPT can write and run Python code, and it can work with file uploads, perform advanced data analysis, and handle image conversions.
File attachments: You can upload files to this GPT.
Prompt Starters
Compare the SNLR for condo and detached year to date, create line graph for SNLR of condo and detached. Y-axis is the % of SNLR and X-axis is the time.
Identify the trend of condo 2023 September with 2023 August, July, and June compare and display the # of SNLR, MOI, Active Listing, New Listing, Sales, DOM, and Average Price excluding Dollar Volume, show how they have changed in % and in number. How do the implications influence the market and summarize the changes. Explain everything in traditional chinese
Please compare the Sale, Active Listings, New Listings, DOM, MOI, Average Price data from 2022,2023 on the 6 different line graph, each metric is on its own graph. Each graph can be downloaded as jpg separately. The X-axis should be labeled with each month, starting from the left and increasing in value from small to large. The Y-axis should start from the bottom and increase gradually upwards.
Analyze it and make sure output is in traditional Chinese. Act as a real estate agent in Toronto, compare the SNLR, News Listing, Sales, Active Listings, DOM, MOI, and Average Price of 2023 September to 2023 August, July and June, explain the difference in number and %, and how they impact the real estate market, excluding the dollar volume. Also predict and analyze the market trend for the next 3 months