Latest Data & Signals Issued
Below are some of the latest signals issued for Student Transportation Inc
General
| Signal Type | Signal Value | Data | |
|---|---|---|---|
| Score | 2.220 | 11 days ( 0 % | |
| Last Price | $7.50 | 0 % | |
Performance History
7 Days
$7.50
$7.50
0%
30 Days
$7.49
$7.50
0.134%
12 Mos
$5.92
$7.50
26.69%
|
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6/18
Active Buy Signals
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Specific Signals
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| High / Low | N/A | Very Low | $7.50 - $7.50 | |
| Trend - 3 mos | 9.39 % | High | Width: 17.66 % | |
| Pred. range - 3 mos | $7.25 - $8.53 | Low | -3.39 % - 13.68 % | |
| Volume Direction | Sell | High | Volume: 2,183 · Direction: 0 | |
| Pivot Short | Sell | Very Low | Apr 12, 2018 - 26 days | |
| RSI Short Pivot Signal | Sell | Very Low | May 10, 2018 - 6 days | |
| Short MA 3 mos | Sell | Low | Apr 19, 2018 - 21 days | |
| Long MA 3 mos | Sell | Medium | Apr 19, 2018 - 21 days | |
| Short/Long MA 3 mos | Buy | Medium | May 02, 2018 - 12 days |
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| Trend - 12 mos | 26.81 % | Very High | Width: 24.21 % | |
| Pred. range - 12 mos | $7.84 - $9.74 | High | 4.56 % - 29.89 % | |
| Short MA 12 mos | Sell | Very High | Apr 19, 2018 - 21 days | |
| Long MA 12 mos | Buy | Very High | Feb 09, 2018 - 68 days | |
| Short/Long MA 12 mos | Buy | Very High | Feb 16, 2018 - 63 days | |
| Pivot Long | Sell | Low | Apr 12, 2018 - 26 days | |
| RSI Long Pivot Signal | Sell | Low | May 15, 2018 - 3 days | |
| Bollinger | Sell | 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).
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