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Michael Chang Profile - CGS-CIMB Analyst
18 Followers
Michael Chang CGS-CIMB
Wall Street Analyst
Success Rate
10 out of 13 ratings made a profit
Average Return
+18.90%
Average return per rating
Time Frame
Compare to
Copying Michael Chang's trades since 2019 and holding each position for 1 Year would result in 76.92% of your transactions generating a profit, with an average return of 18.9% per rating.
Stock Rating Distribution
93.75% Buy
6.25% Hold
0.00% Sell
Distribution of Michael Chang's ratings
Additional Information
Main Sector:General
Geo Coverage:
Best Rating
The most profitable rating made by Michael Chang
Michael Chang's Stock Coverage
China Life Insurance Company
Oct 30, 2019
Hold
Upgraded
―
1Ratings
―
0.00%
Ping An Insurance Company of China
Mar 22, 2024
Buy
Reiterated
HK$55.00
(-4.51% Downside)
1Ratings
+53.20%
Bank of China
Mar 27, 2025
Buy
Reiterated
HK$5.60
(17.65% Upside)
3Ratings
+30.47%
AIA Group
Jun 09, 2025
Buy
Reiterated
HK$103.00
(27.79% Upside)
3Ratings
+23.83%
Hong Kong Exchanges & Clearing Ltd. Registered Shs
Jun 11, 2025
Buy
Reiterated
$474.71
(23.62% Upside)
1Ratings
―
0.00%
Prudential
Jul 18, 2025
Buy
Reiterated
1,394.54p
(31.56% Upside)
7Ratings
+5.03%
List of latest recommendations made by Michael Chang. Click to expand and see Michael Chang'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.
Michael Chang activity FAQ
What is the performance of Michael Chang's recommendations?
The percentage of profitable recommendations made by Michael Chang is 77%, and the average return per transaction is 18.90%.
What was Michael Chang's most profitable rating?
Michael Chang’s most profitable ratings was a buy on GB:PRU stock on Sep 11, 2024 - Sep 11, 2025. The return on the trade was +71.40%.
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