Latest Data & Signals Issued
Below are some of the latest signals issued for Sri Lakshmi Saraswathi Textiles
General
| Signal Type | Signal Value | Data | |
|---|---|---|---|
| Score | 0.326 | 6 days ( -5.26 % | |
| Last Price | ₹27.64 | 0 % | |
Performance History
7 Days
₹26.26
₹27.64
5.26%
30 Days
₹23.64
₹27.64
16.92%
12 Mos
₹41.35
₹27.64
-33.16%
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7/18
Active Buy Signals
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Specific Signals
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| High / Low | N/A | Very Low | ₹27.64 - ₹27.64 | |
| Trend - 3 mos | -18.58 % | High | Width: 31.47 % | |
| Pred. range - 3 mos | ₹17.05 - ₹22.42 | Low | -38.31 % - -18.90 % | |
| Volume Direction | Sell | High | Volume: 24 · Direction: 0 | |
| Pivot Short | Sell | Very Low | Jun 22, 2026 - 2 days | |
| RSI Short Pivot Signal | Buy | Very Low | Jun 15, 2026 - 7 days | |
| Short MA 3 mos | Buy | Low | Jun 11, 2026 - 9 days | |
| Long MA 3 mos | Buy | Medium | Jun 15, 2026 - 7 days | |
| Short/Long MA 3 mos | Buy | Medium | Jun 17, 2026 - 5 days |
| Signal Type | Signal Value | Importance | Data | |
|---|---|---|---|---|
| Trend - 12 mos | -39.32 % | Very High | Width: 72.82 % | |
| Pred. range - 12 mos | ₹10.49 - ₹18.13 | High | -62.05 % - -34.42 % | |
| Short MA 12 mos | Buy | Very High | Jun 10, 2026 - 10 days | |
| Long MA 12 mos | Buy | Very High | Jun 19, 2026 - 3 days | |
| Short/Long MA 12 mos | Sell | Very High | May 13, 2026 - 28 days | |
| Pivot Long | Sell | Low | Jun 22, 2026 - 2 days | |
| RSI Long Pivot Signal | Sell | Low | Jun 22, 2026 - 2 days | |
| Bollinger | Sell | Medium | Nov 30, -0001 - N/A 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).
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