SIPTL Share Target 2024, 2025 To 2039
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SHARANAM INFRAPROJECT AND TRAD |
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Price: ₹0.97 | ||
| 52 Week Low: ₹0.47 52 Week High: ₹1.45 |
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| Market Capital: N/A | |||
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Show Table of Contents
Table of Contents
- 1: Approach 1: Technical Analysis Paired With Price Action
- 1.1: SIPTL Share Price Target For 2024
- 1.1.1: SIPTL Share Price Target Table For 2024
- 1.1.2: Short-Term Technical Outlook
- 1.2: SIPTL Share Price Target For 2025
- 1.2.1: SIPTL Share Price Target Table For 2025
- 1.2.2: Long-Term Technical Outlook
- 2: Approach 2: Machine Learning By Studying Historical Prices
- 2.1: SIPTL Share Price Target Chart and Table From 2024, 2025, 2026 to 2039
To predict the SIPTL's future market prices, we harnessed 2 dynamic approaches:
Approach 1: Technical Analysis Paired With Price Action
Approach 2: Machine Learning By Studying Historical Prices
Approach 1: Technical Analysis Paired With Price Action
SIPTL Share Price Target For 2024
The line chart displays the monthly closing prices of SIPTL with a black line. The green line shows three potential target prices for 2024, while the red line indicates three potential Stop Loss levels.
For detailed target and stop loss values for SIPTL shares in 2024, see the table below.
SIPTL Share Price Target Table For 2024
| Level | Value | Analysis |
|---|---|---|
| 2024 Target 3 | 0.99 (+2.06%) | Price Action: 06 Jul 2023 Low |
| 2024 Target 2 | 0.98 (+1.03%) | Fibonacci Extension Level 82.00% |
| 2024 Target 1 | 0.97 (0.00%) | Price Action: Chart |
| Current Price | 0.97 | SIPTL's share price as of 26 Dec 2024 |
| Stop Loss 1 | 0.97 (0.00%) | Price Action: Chart |
| Stop Loss 2 | 0.96 (-1.04%) | Fibonacci Retracement Level 40.00% |
| Stop Loss 3 | 0.95 (-2.06%) | Fibonacci Retracement Level 82.60% |
Short-Term Technical Outlook
Current Technical Position: SIPTL is showing bullish momentum with price above both 25-day and 50-day moving averages.
Key Technical Level: The 25-day moving average at ₹0.79 serves as the nearest technical reference point.
Historical Returns: 3-month: +31.08% | 6-month: +76.36% | 1-year: +6.59%
SIPTL Share Price Target For 2025
The line chart displays the monthly closing prices of SIPTL with a black line. The green line shows three potential target prices for 2025, while the red line indicates three potential Stop Loss levels.
For detailed target and stop loss values for SIPTL shares in 2025, see the table below.
SIPTL Share Price Target Table For 2025
| Level | Value | Analysis |
|---|---|---|
| 2025 Target 3 | 1.66 (+71.13%) | Price Action: Chart |
| 2025 Target 2 | 1.63 (+68.04%) | Price Action: Chart |
| 2025 Target 1 | 1.61 (+65.97%) | Fibonacci Extension Level 64.90% |
| Current Price | 0.97 | SIPTL's share price as of 26 Dec 2024 |
| Stop Loss 1 | 0.82 (-15.47%) | Price Action: 08 Aug 2023 Low |
| Stop Loss 2 | 0.81 (-16.5%) | Price Action: 16 Aug 2023 Low |
| Stop Loss 3 | 0.8 (-17.53%) | Price Action: 09 Aug 2023 Low |
Long-Term Technical Outlook
52-Week Range Analysis: SIPTL is currently trading at 51.0% of its 52-week range (₹0.47 - ₹1.45).
Long-Term Trend Analysis: The stock is maintaining a bullish long-term trend, trading above both 150-day and 250-day moving averages.
Long-Term Performance: 1-year: +6.59% | 3-year: -41.21% | 5-year: -11.82%
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Approach 2: Machine Learning By Studying Historical Prices
SIPTL Share Price Target Chart and Table From 2024, 2025, 2026 to 2039
| Year | Target 1 | Target 1 YoY Chg % | Target 2 |
|---|---|---|---|
| Current Price | ₹0.97 | ||
| 2024 | ₹0.62 | -36.08% | ₹0.66 |
| 2025 | ₹0.48 | -22.58% | ₹0.62 |
| 2026 | ₹0.51 | +6.25% | ₹0.52 |
| 2027 | ₹0.76 | +49.01% | ₹0.77 |
| 2028 | ₹0.75 | -1.31% | ₹0.79 |
| 2029 | ₹0.70 | -6.66% | ₹0.79 |
| 2030 | ₹0.70 | 0.00% | ₹0.78 |
| 2031 | ₹0.78 | +11.42% | ₹0.79 |
| 2032 | ₹0.74 | -5.12% | ₹0.75 |
| 2033 | ₹0.74 | 0.00% | ₹0.78 |
| 2034 | ₹0.69 | -6.75% | ₹0.77 |
| 2035 | ₹0.69 | 0.00% | ₹0.77 |
| 2036 | ₹0.77 | +11.59% | ₹0.78 |
| 2037 | ₹0.73 | -5.19% | ₹0.74 |
| 2038 | ₹0.73 | 0.00% | ₹0.76 |
| 2039 | ₹0.69 | -5.47% | ₹0.76 |
Note: Target 1 and Target 2 represent price levels that the stock is most likely to achieve during the respective year, based on machine learning algorithms analyzing historical price patterns and market behavior. These predictions are generated through comprehensive analysis of the stock's historical data using advanced ML models.
Disclaimer: The information provided on this page is for educational purposes only and should not be considered as financial advice. Historical performance data and technical analysis cannot guarantee future results. Stock investments are subject to market risks. Please consult with a qualified financial advisor before making any investment decisions.
All stock data shown is sourced from publicly available information and while we strive for accuracy, we cannot guarantee the absolute accuracy of all figures. Users should verify critical information from official sources before making investment decisions.
