Sign InMirae Asset Tiger Synth - Iboxx Short Term High Yield Etf H - Bonds-derivatives Stock Signals
Buy 182490
Latest Data & Signals Issued
Below are some of the latest signals issued for Mirae Asset TIGER Synth - iBoxx Short Term High Yield ETF H - Bonds-Derivatives
General
| Signal Type | Signal Value | Data | |
|---|---|---|---|
| Score | -0.310 | 9 days ( 0.217 % | |
| Last Price | ₩13,780.00 | 0 % | |
Performance History
7 Days
₩13,815.00
₩13,780.00
-0.253%
30 Days
₩13,785.00
₩13,780.00
-0.0363%
12 Mos
₩13,310.00
₩13,780.00
3.53%
|
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10/18
Active Buy Signals
|
Specific Signals
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| High / Low | Neutral | Very Low |
₩13,770.00
- ₩13,835.00
Position: 15.38% from low / 84.62% from high · Momentum: 0.0391% |
|
| Trend - 3 mos | 0.721 % | High | Width: 1.62 % | |
| Pred. range - 3 mos | ₩13,798.14 - ₩14,021.73 | Low | 0.132 % - 1.75 % | |
| Volume Direction | Buy | High | Volume: 742 · Direction: 1.00 | |
| Pivot Short | Sell | Very Low | Jun 16, 2026 - 7 days | |
| RSI Short Pivot Signal | Sell | Very Low | Jun 22, 2026 - 3 days | |
| Short MA 3 mos | Sell | Low | Jun 18, 2026 - 5 days | |
| Long MA 3 mos | Sell | Medium | Jun 18, 2026 - 5 days | |
| Short/Long MA 3 mos | Buy | Medium | Jun 17, 2026 - 6 days |
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| Trend - 12 mos | 1.76 % | Very High | Width: 2.71 % | |
| Pred. range - 12 mos | ₩13,838.30 - ₩14,213.40 | High | 0.423 % - 3.15 % | |
| Short MA 12 mos | Sell | Very High | Jun 22, 2026 - 3 days | |
| Long MA 12 mos | Buy | Very High | Jun 09, 2026 - 12 days | |
| Short/Long MA 12 mos | Buy | Very High | Apr 23, 2026 - 42 days | |
| Pivot Long | Sell | Low | Jun 16, 2026 - 7 days | |
| RSI Long Pivot Signal | Sell | Low | Jun 22, 2026 - 3 days | |
| Bollinger | Buy | Medium | Jun 16, 2026 - 7 days | |
| MACD | Buy | 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).
