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- NTIP vs SLNH Comparison
NTIP vs SLNH Comparison
Compare NTIP & SLNH Stocks: Price Trends, ML Decisions, Charts, Trends, Technical Analysis and more.
- Machine Learning Prediction
- ML Decision
- NTIP
- SLNH
- Stock Information
- Founded
- NTIP 1990
- SLNH 1961
- Country
- NTIP United States
- SLNH United States
- Employees
- NTIP N/A
- SLNH N/A
- Industry
- NTIP Multi-Sector Companies
- SLNH EDP Services
- Sector
- NTIP Miscellaneous
- SLNH Technology
- Exchange
- NTIP Nasdaq
- SLNH Nasdaq
- Market Cap
- NTIP 29.5M
- SLNH 27.0M
- IPO Year
- NTIP 1998
- SLNH N/A
- Fundamental
- Price
- NTIP $1.29
- SLNH $2.47
- Analyst Decision
- NTIP
- SLNH
- Analyst Count
- NTIP 0
- SLNH 0
- Target Price
- NTIP N/A
- SLNH N/A
- AVG Volume (30 Days)
- NTIP 17.9K
- SLNH 233.4K
- Earning Date
- NTIP 10-24-2024
- SLNH 11-14-2024
- Dividend Yield
- NTIP 7.58%
- SLNH N/A
- EPS Growth
- NTIP N/A
- SLNH N/A
- EPS
- NTIP N/A
- SLNH N/A
- Revenue
- NTIP $1,881,000.00
- SLNH $39,867,000.00
- Revenue This Year
- NTIP N/A
- SLNH N/A
- Revenue Next Year
- NTIP N/A
- SLNH N/A
- P/E Ratio
- NTIP N/A
- SLNH N/A
- Revenue Growth
- NTIP 129.39
- SLNH 163.48
- 52 Week Low
- NTIP $1.24
- SLNH $1.40
- 52 Week High
- NTIP $2.25
- SLNH $8.80
- Technical
- Relative Strength Index (RSI)
- NTIP 45.22
- SLNH 34.41
- Support Level
- NTIP $1.25
- SLNH $2.27
- Resistance Level
- NTIP $1.37
- SLNH $3.36
- Average True Range (ATR)
- NTIP 0.05
- SLNH 0.36
- MACD
- NTIP -0.00
- SLNH -0.08
- Stochastic Oscillator
- NTIP 33.33
- SLNH 13.99
About NTIP Network-1 Technologies Inc.
Network-1 Technologies Inc is involved in the business of the development, licensing, and protection of intellectual property rights. The company's current plan includes continuing to pursue licensing opportunities for its intellectual property assets.
About SLNH Soluna Holdings Inc.
Soluna Holdings Inc is a U.S.-based company that conducts operations through its subsidiary. The group is engaged in the mining of cryptocurrency through data centers that can be powered by renewable energy sources. The data centers buy every excess megawatt to use for batch-oriented, computing-intensive processes such as cryptocurrency mining or machine learning which is a low-risk and low-friction solution to use as a smartphone.