Infinite Networks Stock Technical Analysis
| INNX Stock | USD 0.0003 0.00 0.00% |
As of the 25th of December, Infinite Networks retains the Market Risk Adjusted Performance of (3.57), standard deviation of 24.62, and Risk Adjusted Performance of 0.0961. Infinite Networks technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Infinite 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 Infinite, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to InfiniteInfinite |
Infinite 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.
Infinite Networks Technical Analysis
The output start index for this execution was sixty with a total number of output elements of one. The Normalized Average True Range is used to analyze tradable apportunities for Infinite Networks across different markets.
Infinite Networks Trend Analysis
Use this graph to draw trend lines for Infinite Networks. You can use it to identify possible trend reversals for Infinite Networks as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Infinite Networks price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Infinite Networks Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Infinite Networks applied against its price change over selected period. The best fit line has a slop of 0.00000381 , which means Infinite Networks will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Infinite Networks price change compared to its average price change.About Infinite 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 Infinite 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 Infinite Networks based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Infinite Networks price pattern first instead of the macroeconomic environment surrounding Infinite Networks. By analyzing Infinite 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 Infinite 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 Infinite Networks specific price patterns or momentum indicators. Please read more on our technical analysis page.
Infinite Networks December 25, 2025 Technical Indicators
Most technical analysis of Infinite 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 Infinite from various momentum indicators to cycle indicators. When you analyze Infinite 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.
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| Math Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.0961 | |||
| Market Risk Adjusted Performance | (3.57) | |||
| Mean Deviation | 5.97 | |||
| Coefficient Of Variation | 812.4 | |||
| Standard Deviation | 24.62 | |||
| Variance | 606.06 | |||
| Information Ratio | 0.1203 | |||
| Jensen Alpha | 3.07 | |||
| Total Risk Alpha | 0.9736 | |||
| Treynor Ratio | (3.58) | |||
| Maximum Drawdown | 200.0 | |||
| Skewness | 8.12 | |||
| Kurtosis | 66.0 |
Infinite Networks December 25, 2025 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 Infinite 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 | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Additional Tools for Infinite Pink Sheet Analysis
When running Infinite Networks' price analysis, check to measure Infinite 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 Infinite Networks is operating at the current time. Most of Infinite Networks' value examination focuses on studying past and present price action to predict the probability of Infinite Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Infinite Networks' price. Additionally, you may evaluate how the addition of Infinite Networks to your portfolios can decrease your overall portfolio volatility.