Sign InMirae Asset Maps Management - Tiger Financial Renewable Energy Etf Stock Signals
Buy 377990
Latest Data & Signals Issued
Below are some of the latest signals issued for Mirae Asset Maps Management - Tiger Financial Renewable Energy ETF
General
| Signal Type | Signal Value | Data | |
|---|---|---|---|
| Score | -5.841 | 8 days ( 17.20 % | |
| Last Price | ₩22,335.00 | -2.47 % | |
Performance History
7 Days
₩24,590.00
₩22,335.00
-9.17%
30 Days
₩30,620.00
₩22,335.00
-27.06%
12 Mos
₩13,255.00
₩22,335.00
68.50%
|
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7/18
Active Buy Signals
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Specific Signals
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| High / Low | Sell | Very Low |
₩21,225.00
- ₩22,900.00
Position: 66.27% from low / 33.73% from high · Momentum: -14.03% |
|
| Trend - 3 mos | -25.35 % | High | Width: 35.00 % | |
| Pred. range - 3 mos | ₩17,103.82 - ₩23,090.10 | Low | -23.42 % - 3.38 % | |
| Volume Direction | Buy | High | Volume: 229,949 · Direction: 1.00 | |
| Pivot Short | Sell | Very Low | Jul 01, 2026 - 10 days | |
| RSI Short Pivot Signal | Buy | Very Low | Jul 08, 2026 - 5 days | |
| Short MA 3 mos | Sell | Low | Jul 02, 2026 - 9 days | |
| Long MA 3 mos | Sell | Medium | Jun 01, 2026 - 32 days | |
| Short/Long MA 3 mos | Sell | Medium | Jun 02, 2026 - 31 days |
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| Trend - 12 mos | 93.80 % | Very High | Width: 93.98 % | |
| Pred. range - 12 mos | ₩43,284.97 - ₩83,963.61 | High | 93.80 % - 275.93 % | |
| Short MA 12 mos | Buy | Very High | Jun 30, 2026 - 11 days | |
| Long MA 12 mos | Buy | Very High | Jun 30, 2026 - 11 days | |
| Short/Long MA 12 mos | Sell | Very High | Jul 03, 2026 - 8 days | |
| Pivot Long | Sell | Low | May 06, 2026 - 49 days | |
| RSI Long Pivot Signal | Sell | Low | Jul 10, 2026 - 3 days | |
| Bollinger | Buy | Medium | Nov 30, -0001 - N/A 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).
