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OpenAI REIT - Residential JP Profile - TipRanks - OpenAI Analyst
4 Followers
OpenAI REIT - Residential JP TipRanks - OpenAI
Wall Street Analyst
Success Rate
2 out of 2 ratings made a profit
Average Return
+17.90%
Average return per rating
Time Frame
Compare to
Copying OpenAI REIT - Residential JP's trades since 2025 and holding each position for 1 Year would result in 100.00% of your transactions generating a profit, with an average return of 17.9% per rating.
Stock Rating Distribution
62.50% Buy
37.50% Hold
0.00% Sell
Distribution of OpenAI REIT - Residential JP's ratings
Additional Information
Main Sector:Real Estate
Geo Coverage:
Best Rating
Stock:
Rating:Buy
Date:Apr 25, 2025 - Dec 18, 2025
Return:+21.60%
The most profitable rating made by OpenAI REIT - Residential JP
OpenAI REIT - Residential JP's Stock Coverage
Starts Proceed Investment Corporation
Dec 18, 2025
Hold
Downgraded
¥215,024
(1.43% Upside)
5Ratings
+21.60%
Comforia Residential REIT, Inc.
Dec 20, 2025
Hold
Downgraded
¥361,880
(5.66% Upside)
3Ratings
+14.20%
List of latest recommendations made by OpenAI REIT - Residential JP. Click to expand and see OpenAI REIT - Residential JP's performance on a particular stock
Disclaimer: TipRanks collects analysts’ ratings and price targets by scanning publicly available reports on financial websites and by receiving reports from analysts, firms, or customers. The information and statistics displayed might not be accurate, complete, or up-to-date. The analyst ratings provided are the sole responsibility of the source publication. TipRanks holds no liability over the analysts' information, price targets, ratings, or opinions expressed.
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Learn More >About Analyst Ratings
About Analyst Ratings
Analyst ratings represent professional recommendations - Buy, Hold, or Sell - issued for a specific stock. Each rating reflects the analyst’s view at the time of publication and is tracked to measure historical performance.
Ratings Count
The total number of analyst ratings (Buy, Hold, and Sell) issued for the stock. This includes all published recommendations, even those not used in performance calculations.
Performance Calculation
To ensure accuracy and prevent duplication, only certain ratings are included in performance metrics:
•
One rating per analyst per month: If an analyst publishes more than one rating in a month, only the first is counted.
•
Updated ratings end prior ones: If the analyst changes their stance during that month (for example, from Buy to Sell), performance tracking for the earlier rating stops immediately on the update date, and the new rating begins tracking from that point forward.
•
Hold ratings excluded: Hold recommendations are displayed on the chart but are not counted in performance or return calculations.
Example
If an analyst rates a stock Buy on April 1 and changes it to Sell on April 20, the Buy rating’s performance is measured from April 1 to April 20. From April 20 onward, only the Sell rating is tracked.
Success Rate
Indicates the percentage of performance-accounted ratings that generated a positive return during their active period. For example, if 6 out of 17 accounted ratings were profitable, the success rate is 35%.
Average Return
Represents the mean return per active rating - showing the average gain or loss an analyst’s recommendation produced while it was active.
OpenAI REIT - Residential JP activity FAQ
What is the performance of OpenAI REIT - Residential JP's recommendations?
The percentage of profitable recommendations made by OpenAI REIT - Residential JP is 100%, and the average return per transaction is 17.90%.
What stocks does OpenAI REIT - Residential JP cover?
What was OpenAI REIT - Residential JP's most profitable rating?
OpenAI REIT - Residential JP’s most profitable ratings was a buy on JP:8979 stock on Apr 25, 2025 - Dec 18, 2025. The return on the trade was +21.60%.
Where can I see a list of stock analyst ratings?
You can see a list of daily stock analyst ratings here.
What are the most recommended stocks by analysts?
You can see a list of the most recommended stocks by analysts here