Vecima Networks Stock Technical Analysis
| VNWTF Stock | USD 7.07 0.00 0.00% |
As of the 11th of February 2026, Vecima Networks has the Semi Deviation of 1.2, coefficient of variation of 3989.56, and Risk Adjusted Performance of 0.0253. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Vecima Networks, as well as the relationship between them. Please validate Vecima Networks information ratio, as well as the relationship between the potential upside and kurtosis to decide if Vecima Networks is priced more or less accurately, providing market reflects its prevalent price of 7.07 per share. Given that Vecima Networks has jensen alpha of 0.0376, we advise you to double-check Vecima Networks's current market performance to make sure the company can sustain itself at a future point.
Vecima Networks Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Vecima, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to VecimaVecima |
Vecima Networks 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Vecima Networks' pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Vecima Networks.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in Vecima Networks on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding Vecima Networks or generate 0.0% return on investment in Vecima Networks over 90 days. Vecima Networks is related to or competes with Morningstar Unconstrained, T Rowe, Oramed Pharmaceuticals, Virtus Dfa, Charming Medical, Golub Capital, and Goldman Sachs. Vecima Networks Inc. engages in the development of integrated hardware and software solutions for broadband access, cont... More
Vecima Networks Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Vecima Networks' pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Vecima Networks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.11 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 14.93 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.44 |
Vecima Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vecima Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vecima Networks' standard deviation. In reality, there are many statistical measures that can use Vecima Networks historical prices to predict the future Vecima Networks' volatility.| Risk Adjusted Performance | 0.0253 | |||
| Jensen Alpha | 0.0376 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.44) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vecima Networks' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Vecima Networks February 11, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0253 | |||
| Market Risk Adjusted Performance | (0.43) | |||
| Mean Deviation | 0.5742 | |||
| Semi Deviation | 1.2 | |||
| Downside Deviation | 4.11 | |||
| Coefficient Of Variation | 3989.56 | |||
| Standard Deviation | 1.66 | |||
| Variance | 2.77 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0376 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.44) | |||
| Maximum Drawdown | 14.93 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.44 | |||
| Downside Variance | 16.87 | |||
| Semi Variance | 1.44 | |||
| Expected Short fall | (2.41) | |||
| Skewness | 0.4981 | |||
| Kurtosis | 14.97 |
Vecima Networks Backtested Returns
At this point, Vecima Networks is somewhat reliable. Vecima Networks owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0126, which indicates the firm had a 0.0126 % return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Vecima Networks, which you can use to evaluate the volatility of the company. Please validate Vecima Networks' Coefficient Of Variation of 3989.56, semi deviation of 1.2, and Risk Adjusted Performance of 0.0253 to confirm if the risk estimate we provide is consistent with the expected return of 0.0219%. Vecima Networks has a performance score of 1 on a scale of 0 to 100. The entity has a beta of -0.0718, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Vecima Networks are expected to decrease at a much lower rate. During the bear market, Vecima Networks is likely to outperform the market. Vecima Networks right now has a risk of 1.74%. Please validate Vecima Networks total risk alpha, as well as the relationship between the potential upside and kurtosis , to decide if Vecima Networks will be following its existing price patterns.
Auto-correlation | 0.14 |
Insignificant predictability
Vecima Networks has insignificant predictability. Overlapping area represents the amount of predictability between Vecima Networks time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Vecima Networks price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Vecima Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | -0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Vecima Networks technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Vecima Networks Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Vecima Networks across different markets.
About Vecima Networks Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Vecima Networks on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Vecima Networks based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Vecima Networks price pattern first instead of the macroeconomic environment surrounding Vecima Networks. By analyzing Vecima Networks's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Vecima Networks's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Vecima Networks specific price patterns or momentum indicators. Please read more on our technical analysis page.
Vecima Networks February 11, 2026 Technical Indicators
Most technical analysis of Vecima help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Vecima from various momentum indicators to cycle indicators. When you analyze Vecima charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.0253 | |||
| Market Risk Adjusted Performance | (0.43) | |||
| Mean Deviation | 0.5742 | |||
| Semi Deviation | 1.2 | |||
| Downside Deviation | 4.11 | |||
| Coefficient Of Variation | 3989.56 | |||
| Standard Deviation | 1.66 | |||
| Variance | 2.77 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | 0.0376 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.44) | |||
| Maximum Drawdown | 14.93 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.44 | |||
| Downside Variance | 16.87 | |||
| Semi Variance | 1.44 | |||
| Expected Short fall | (2.41) | |||
| Skewness | 0.4981 | |||
| Kurtosis | 14.97 |
Vecima Networks February 11, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Vecima stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 7.07 | ||
| Day Typical Price | 7.07 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Vecima Pink Sheet analysis
When running Vecima Networks' price analysis, check to measure Vecima Networks' 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 Vecima Networks is operating at the current time. Most of Vecima Networks' value examination focuses on studying past and present price action to predict the probability of Vecima Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vecima Networks' price. Additionally, you may evaluate how the addition of Vecima Networks to your portfolios can decrease your overall portfolio volatility.
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