Network 1 Technologies Stock Price on April 4, 2024
NTIP Stock | USD 1.37 0.03 2.24% |
Below is the normalized historical share price chart for Network 1 Technologies extending back to November 12, 1998. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Network 1 stands at 1.37, as last reported on the 29th of November, with the highest price reaching 1.39 and the lowest price hitting 1.35 during the day.
If you're considering investing in Network Stock, it is important to understand the factors that can impact its price. Network 1 Technologies has Sharpe Ratio of -0.0262, which conveys that the firm had a -0.0262% return per unit of risk over the last 3 months. Network 1 exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Network 1's Standard Deviation of 3.47, risk adjusted performance of (0.03), and Mean Deviation of 1.91 to check out the risk estimate we provide.
As of 11/29/2024, Stock Based Compensation is likely to grow to about 519 K, while Total Stockholder Equity is likely to drop slightly above 25.9 M. . At this time, Network 1's Price Book Value Ratio is relatively stable compared to the past year. As of 11/29/2024, Price To Operating Cash Flows Ratio is likely to grow to 164.53, though Price Earnings To Growth Ratio is likely to grow to (0.30). Network Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
IPO Date 10th of November 1998 | 200 Day MA 1.7091 | 50 Day MA 1.3728 | Beta 0.142 |
Network |
Sharpe Ratio = -0.0262
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Estimated Market Risk
3.47 actual daily | 30 70% of assets are more volatile |
Expected Return
-0.09 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.03 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Network 1 is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Network 1 by adding Network 1 to a well-diversified portfolio.
Price Book 0.6773 | Enterprise Value Ebitda (1.25) | Price Sales 16.4109 | Shares Float 13.6 M | Dividend Share 0.1 |
Network 1 Valuation on April 4, 2024
It is possible to determine the worth of Network 1 on a given historical date. On April 4, 2024 Network was worth 2.0 at the beginning of the trading date compared to the closed value of 2.02. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Network 1 stock. Still, in general, we apply an absolute valuation method to find Network 1's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Network 1 where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Network 1's related companies.
Open | High | Low | Close | Volume | |
2.05 | 2.06 | 2.02 | 2.02 | 4,262 | |
04/04/2024 | 2.00 | 2.05 | 1.99 | 2.02 | 7,527 |
2.02 | 2.06 | 2.02 | 2.06 | 1,181 |
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Network 1 Trading Date Momentum on April 4, 2024
On April 05 2024 Network 1 Technologies was traded for 2.06 at the closing time. The top price for the day was 2.06 and the lowest listed price was 2.02 . The trading volume for the day was 1.2 K. The trading history from April 5, 2024 was a factor to the next trading day price gain. The trading delta at closing time against the next closing price was 1.98% . The trading delta at closing time against the current closing price is 3.47% . |
Network 1 Technologies Fundamentals Correlations and Trends
By evaluating Network 1's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Network 1's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Network financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Network 1 Stock history
Network 1 investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Network is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Network 1 Technologies will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Network 1 stock prices may prove useful in developing a viable investing in Network 1
Last Reported | Projected for Next Year | ||
Common Stock Shares Outstanding | 23.8 M | 21.2 M | |
Net Income Applicable To Common Shares | 12.9 M | 13.5 M |
Network 1 Quarterly Net Working Capital |
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Network 1 Stock Technical Analysis
Network 1 technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Price Boundaries
Network 1 Period Price Range
Low | November 29, 2024
| High |
0.00 | 0.00 |
Network 1 Technologies cannot be verified against its exchange. Please verify the symbol is currently traded on NYSE MKT Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Network 1 November 29, 2024 Market Strength
Market strength indicators help investors to evaluate how Network 1 stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Network 1 shares will generate the highest return on investment. By undertsting and applying Network 1 stock market strength indicators, traders can identify Network 1 Technologies entry and exit signals to maximize returns
Network 1 Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Network 1's price direction in advance. Along with the technical and fundamental analysis of Network Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Network to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.19) | |||
Total Risk Alpha | (0.69) | |||
Treynor Ratio | (0.82) |
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Additional Tools for Network Stock Analysis
When running Network 1's price analysis, check to measure Network 1's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Network 1 is operating at the current time. Most of Network 1's value examination focuses on studying past and present price action to predict the probability of Network 1's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Network 1's price. Additionally, you may evaluate how the addition of Network 1 to your portfolios can decrease your overall portfolio volatility.