Sign InMirae Asset Tiger Synth-morningstar Global Exponential Technology(h) Stock Signals
Buy 275980
Latest Data & Signals Issued
Below are some of the latest signals issued for Mirae Asset TIGER Synth-Morningstar Global Exponential Technology(H)
General
| Signal Type | Signal Value | Data | |
|---|---|---|---|
| Score | 1.292 | 8 days ( -1.83 % | |
| Last Price | ₩24,165.00 | -0.86 % | |
Performance History
7 Days
₩24,230.00
₩24,165.00
-0.268%
30 Days
₩23,210.00
₩24,165.00
4.11%
12 Mos
₩17,280.00
₩24,165.00
39.84%
|
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9/18
Active Buy Signals
|
Specific Signals
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| High / Low | Buy | Very Low |
₩23,937.00
- ₩24,585.00
Position: 35.19% from low / 64.81% from high · Momentum: 6.78% |
|
| Trend - 3 mos | 23.22 % | High | Width: 8.27 % | |
| Pred. range - 3 mos | ₩29,371.38 - ₩31,801.39 | Low | 21.55 % - 31.60 % | |
| Volume Direction | Buy | High | Volume: 26,592 · Direction: 1.00 | |
| Pivot Short | Sell | Very Low | Jun 04, 2026 - 14 days | |
| RSI Short Pivot Signal | Sell | Very Low | Jun 22, 2026 - 2 days | |
| Short MA 3 mos | Sell | Low | Jun 22, 2026 - 2 days | |
| Long MA 3 mos | Sell | Medium | Jun 10, 2026 - 10 days | |
| Short/Long MA 3 mos | Buy | Medium | Apr 10, 2026 - 50 days |
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| Trend - 12 mos | 26.96 % | Very High | Width: 20.28 % | |
| Pred. range - 12 mos | ₩26,465.45 - ₩31,833.37 | High | 9.52 % - 31.73 % | |
| Short MA 12 mos | Sell | Very High | Jun 22, 2026 - 2 days | |
| Long MA 12 mos | Sell | Very High | Apr 10, 2026 - 50 days | |
| Short/Long MA 12 mos | Buy | Very High | Apr 22, 2026 - 42 days | |
| Pivot Long | Sell | Low | Jun 04, 2026 - 14 days | |
| RSI Long Pivot Signal | Sell | Low | Jun 18, 2026 - 4 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).
