Infinite Networks Stock Technical Analysis
| INNX Stock | USD 0.0006 0.00 0.00% |
As of the 9th of February, Infinite Networks retains the Market Risk Adjusted Performance of (0.95), risk adjusted performance of 0.136, and Standard Deviation of 68.25. 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 '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 Infinite 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 Infinite Networks.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Infinite Networks on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Infinite Networks or generate 0.0% return on investment in Infinite Networks over 90 days. Infinite Networks is related to or competes with TurnKey Capital. Infinite Networks Corporation offers marketing services for power generation technology More
Infinite 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 Infinite 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 Infinite Networks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1558 | |||
| Maximum Drawdown | 500.0 |
Infinite Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Infinite Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Infinite Networks' standard deviation. In reality, there are many statistical measures that can use Infinite Networks historical prices to predict the future Infinite Networks' volatility.| Risk Adjusted Performance | 0.136 | |||
| Jensen Alpha | 11.71 | |||
| Total Risk Alpha | 3.2 | |||
| Treynor Ratio | (0.96) |
Infinite Networks February 9, 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 | 0.136 | |||
| Market Risk Adjusted Performance | (0.95) | |||
| Mean Deviation | 22.95 | |||
| Coefficient Of Variation | 636.14 | |||
| Standard Deviation | 68.25 | |||
| Variance | 4658.37 | |||
| Information Ratio | 0.1558 | |||
| Jensen Alpha | 11.71 | |||
| Total Risk Alpha | 3.2 | |||
| Treynor Ratio | (0.96) | |||
| Maximum Drawdown | 500.0 | |||
| Skewness | 6.35 | |||
| Kurtosis | 44.05 |
Infinite Networks Backtested Returns
Infinite Networks is out of control given 3 months investment horizon. Infinite Networks holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16 % return per unit of risk over the last 3 months. We were able to interpolate sixteen different technical indicators, which can help you to evaluate if expected returns of 10.73% are justified by taking the suggested risk. Use Infinite Networks Market Risk Adjusted Performance of (0.95), standard deviation of 68.25, and Risk Adjusted Performance of 0.136 to evaluate company specific risk that cannot be diversified away. Infinite Networks holds a performance score of 12 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of -11.19, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Infinite Networks are expected to decrease by larger amounts. On the other hand, during market turmoil, Infinite Networks is expected to outperform it. Use Infinite Networks mean deviation and maximum drawdown , to analyze future returns on Infinite Networks.
Auto-correlation | 0.17 |
Very weak predictability
Infinite Networks has very weak predictability. Overlapping area represents the amount of predictability between Infinite Networks time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 Infinite Networks price movement. The serial correlation of 0.17 indicates that over 17.0% of current Infinite Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Infinite Networks across different markets.
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 February 9, 2026 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.136 | |||
| Market Risk Adjusted Performance | (0.95) | |||
| Mean Deviation | 22.95 | |||
| Coefficient Of Variation | 636.14 | |||
| Standard Deviation | 68.25 | |||
| Variance | 4658.37 | |||
| Information Ratio | 0.1558 | |||
| Jensen Alpha | 11.71 | |||
| Total Risk Alpha | 3.2 | |||
| Treynor Ratio | (0.96) | |||
| Maximum Drawdown | 500.0 | |||
| Skewness | 6.35 | |||
| Kurtosis | 44.05 |
Infinite Networks February 9, 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 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.