Network 1 Stock Forecast - Simple Exponential Smoothing
| NTIP Stock | USD 1.31 0.03 2.24% |
Network Stock outlook is based on your current time horizon. Although Network 1's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Network 1's systematic risk associated with finding meaningful patterns of Network 1 fundamentals over time.
As of today, the relative strength index (RSI) of Network 1's share price is approaching 44. This indicates that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Network 1, making its price go up or down. Momentum 44
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.67) | Quarterly Revenue Growth (1.00) |
Using Network 1 hype-based prediction, you can estimate the value of Network 1 Technologies from the perspective of Network 1 response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Network 1 Technologies on the next trading day is expected to be 1.31 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.50. Network 1 after-hype prediction price | USD 1.31 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Network 1 to cross-verify your projections. Network 1 Additional Predictive Modules
Most predictive techniques to examine Network price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Network using various technical indicators. When you analyze Network charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Network 1 Simple Exponential Smoothing Price Forecast For the 27th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Network 1 Technologies on the next trading day is expected to be 1.31 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 1.50.Please note that although there have been many attempts to predict Network Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Network 1's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Network 1 Stock Forecast Pattern
| Backtest Network 1 | Network 1 Price Prediction | Buy or Sell Advice |
Network 1 Forecasted Value
In the context of forecasting Network 1's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Network 1's downside and upside margins for the forecasting period are 0.01 and 3.97, respectively. We have considered Network 1's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Network 1 stock data series using in forecasting. Note that when a statistical model is used to represent Network 1 stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 109.4926 |
| Bias | Arithmetic mean of the errors | 0.0073 |
| MAD | Mean absolute deviation | 0.025 |
| MAPE | Mean absolute percentage error | 0.0178 |
| SAE | Sum of the absolute errors | 1.4987 |
Predictive Modules for Network 1
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Network 1 Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Network 1 After-Hype Price Density Analysis
As far as predicting the price of Network 1 at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Network 1 or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Network 1, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Network 1 Estimiated After-Hype Price Volatility
In the context of predicting Network 1's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Network 1's historical news coverage. Network 1's after-hype downside and upside margins for the prediction period are 0.07 and 3.95, respectively. We have considered Network 1's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Network 1 is very risky at this time. Analysis and calculation of next after-hype price of Network 1 Technologies is based on 3 months time horizon.
Network 1 Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Network 1 is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Network 1 backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Network 1, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.21 | 2.66 | 0.01 | 0.01 | 17 Events / Month | 7 Events / Month | In about 17 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1.31 | 1.31 | 0.00 |
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Network 1 Hype Timeline
Network 1 Technologies is now traded for 1.31. The entity has historical hype elasticity of -0.01, and average elasticity to hype of competition of -0.01. Network is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is now at -0.21%. %. The volatility of related hype on Network 1 is about 10640.0%, with the expected price after the next announcement by competition of 1.30. About 40.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.74. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Network 1 Technologies recorded a loss per share of 0.11. The entity last dividend was issued on the 19th of September 2025. Given the investment horizon of 90 days the next forecasted press release will be in about 17 days. Check out Historical Fundamental Analysis of Network 1 to cross-verify your projections.Network 1 Related Hype Analysis
Having access to credible news sources related to Network 1's direct competition is more important than ever and may enhance your ability to predict Network 1's future price movements. Getting to know how Network 1's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Network 1 may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AERT | Aeries Technology | (0.03) | 13 per month | 3.41 | 0.02 | 8.33 | (4.84) | 34.19 | |
| EPOW | Sunrise New Energy | (0.07) | 3 per month | 0.00 | (0.08) | 5.98 | (6.09) | 22.24 | |
| EDRY | EuroDry | (0.02) | 21 per month | 1.90 | 0.03 | 3.63 | (3.28) | 11.04 | |
| ZGM | Zenta Group | (0.03) | 20 per month | 6.54 | 0.01 | 14.08 | (9.79) | 36.37 | |
| SIDU | Sidus Space | 0.01 | 7 per month | 7.69 | 0.17 | 34.88 | (14.41) | 125.36 | |
| QRHC | Quest Resource Holding | (0.02) | 15 per month | 3.60 | 0.17 | 9.27 | (6.40) | 24.19 | |
| PRZO | ParaZero Technologies Ltd | 0.03 | 8 per month | 0.00 | (0.01) | 11.20 | (9.60) | 53.90 | |
| SGRP | SPAR Group | 0.01 | 20 per month | 0.00 | (0.16) | 3.49 | (3.66) | 17.23 | |
| NIXX | Nixxy Inc | 0.02 | 9 per month | 0.00 | (0.16) | 6.90 | (8.41) | 33.17 | |
| CVU | CPI Aerostructures | (0.15) | 7 per month | 3.24 | 0.17 | 11.44 | (6.04) | 24.77 |
Other Forecasting Options for Network 1
For every potential investor in Network, whether a beginner or expert, Network 1's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Network Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Network. Basic forecasting techniques help filter out the noise by identifying Network 1's price trends.Network 1 Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Network 1 stock to make a market-neutral strategy. Peer analysis of Network 1 could also be used in its relative valuation, which is a method of valuing Network 1 by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Network 1 Market Strength Events
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 Risk Indicators
The analysis of Network 1's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Network 1's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting network stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.92 | |||
| Standard Deviation | 2.58 | |||
| Variance | 6.66 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Network 1
The number of cover stories for Network 1 depends on current market conditions and Network 1's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Network 1 is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Network 1's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Network 1 Short Properties
Network 1's future price predictability will typically decrease when Network 1's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Network 1 Technologies often depends not only on the future outlook of the potential Network 1's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Network 1's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 23.2 M | |
| Cash And Short Term Investments | 40.6 M |
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.