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Buy 228790
Latest Data & Signals Issued
Below are some of the latest signals issued for Mirae Asset Tiger Cosmetics ETF
General
| Signal Type | Signal Value | Data | |
|---|---|---|---|
| Score | -3.501 | 3 days ( 2.39 % | |
| Last Price | ₩3,680.00 | -0.406 % | |
Performance History
7 Days
₩3,660.00
₩3,680.00
0.546%
30 Days
₩3,750.00
₩3,680.00
-1.87%
12 Mos
₩4,135.00
₩3,680.00
-11.00%
|
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4/18
Active Buy Signals
|
Specific Signals
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| High / Low | Neutral | Very Low |
₩3,470.00
- ₩3,680.00
Position: 100.00% from low / 0% from high · Momentum: -0.337% |
|
| Trend - 3 mos | -2.40 % | High | Width: 24.15 % | |
| Pred. range - 3 mos | ₩3,044.86 - ₩3,780.11 | Low | -17.26 % - 2.72 % | |
| Volume Direction | Sell | High | Volume: 4,696,909 · Direction: 0 | |
| Pivot Short | Sell | Very Low | Jul 07, 2026 - 18 days | |
| RSI Short Pivot Signal | Sell | Very Low | Jul 30, 2026 - 2 days | |
| Short MA 3 mos | Sell | Low | Jul 29, 2026 - 3 days | |
| Long MA 3 mos | Buy | Medium | Jun 26, 2026 - 25 days | |
| Short/Long MA 3 mos | Buy | Medium | Jul 01, 2026 - 22 days |
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| Trend - 12 mos | -5.55 % | Very High | Width: 36.63 % | |
| Pred. range - 12 mos | ₩2,841.34 - ₩3,882.12 | High | -22.79 % - 5.49 % | |
| Short MA 12 mos | Sell | Very High | Jul 29, 2026 - 3 days | |
| Long MA 12 mos | Sell | Very High | Jul 16, 2026 - 11 days | |
| Short/Long MA 12 mos | Buy | Very High | Jul 21, 2026 - 9 days | |
| Pivot Long | Sell | Low | Jul 07, 2026 - 18 days | |
| RSI Long Pivot Signal | Sell | Low | Jul 27, 2026 - 5 days | |
| Bollinger | Buy | Medium | Jul 07, 2026 - 18 days | |
| MACD | Sell | High | No Dates Stored For This Signal |
Signals Effectiveness
Backtesting is not only a way to check stock signal accuracy, but also a tool to continually improvement. Data can be used for self adjustment as each stock has an individual behavior.
Accuracy and return is not the same. A stock signal may provide low statistical accuracy, but the signals may prove high return in average.
Sharp market dips or fundamental changes (earning reports, news updates etc), may force a short term reaction and disturb the signals (Signals may jump quickly from buy to sell, just to return to buy).
