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Latest Data & Signals Issued
Below are some of the latest signals issued for Kansas City Life Insurance Co.
General
| Signal Type | Signal Value | Data | |
|---|---|---|---|
| Score | 2.747 | 25 days ( -5.09 % | |
| Last Price | $33.42 | 0.150 % | |
Performance History
7 Days
$33.35
$33.42
0.210%
30 Days
$32.00
$33.42
4.44%
12 Mos
$29.00
$33.42
15.24%
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11/18
Active Buy Signals
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Specific Signals
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| High / Low | N/A | Very Low | $33.42 - $33.42 | |
| Trend - 3 mos | 4.18 % | High | Width: 8.84 % | |
| Pred. range - 3 mos | $32.03 - $34.86 | Low | -4.16 % - 4.32 % | |
| Volume Direction | Buy | High | Volume: 527 · Direction: 1.00 | |
| Pivot Short | Sell | Very Low | Jun 18, 2026 - 3 days | |
| RSI Short Pivot Signal | Buy | Very Low | Jun 22, 2026 - 2 days | |
| Short MA 3 mos | Sell | Low | May 27, 2026 - 19 days | |
| Long MA 3 mos | Buy | Medium | May 14, 2026 - 27 days | |
| Short/Long MA 3 mos | Buy | Medium | May 18, 2026 - 25 days |
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| Trend - 12 mos | -0.652 % | Very High | Width: 20.99 % | |
| Pred. range - 12 mos | $29.80 - $36.06 | High | -10.82 % - 7.89 % | |
| Short MA 12 mos | Buy | Very High | May 11, 2026 - 30 days | |
| Long MA 12 mos | Buy | Very High | May 28, 2026 - 18 days | |
| Short/Long MA 12 mos | Buy | Very High | Jun 09, 2026 - 10 days | |
| Pivot Long | Buy | Low | May 05, 2026 - 34 days | |
| RSI Long Pivot Signal | Buy | Low | Jun 22, 2026 - 2 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).
