CNNS Technical Analysis
| CNNS Crypto | USD 0.000061 0.000007 12.96% |
As of the 20th of February, CNNS shows the mean deviation of 11.55, and Risk Adjusted Performance of 0.0707. CNNS technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
CNNS Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CNNS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CNNSCNNS |
CNNS '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 CNNS's crypto coin 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 CNNS.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in CNNS on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding CNNS or generate 0.0% return on investment in CNNS over 90 days. CNNS is related to or competes with XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. CNNS is peer-to-peer digital currency powered by the Blockchain technology.
CNNS 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 CNNS's crypto coin 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 CNNS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 23.96 | |||
| Information Ratio | 0.0768 | |||
| Maximum Drawdown | 157.86 | |||
| Value At Risk | (23.81) | |||
| Potential Upside | 26.32 |
CNNS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CNNS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CNNS's standard deviation. In reality, there are many statistical measures that can use CNNS historical prices to predict the future CNNS's volatility.| Risk Adjusted Performance | 0.0707 | |||
| Jensen Alpha | 2.2 | |||
| Total Risk Alpha | 0.2065 | |||
| Sortino Ratio | 0.0711 | |||
| Treynor Ratio | (0.21) |
CNNS February 20, 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 | 0.0707 | |||
| Market Risk Adjusted Performance | (0.20) | |||
| Mean Deviation | 11.55 | |||
| Semi Deviation | 16.46 | |||
| Downside Deviation | 23.96 | |||
| Coefficient Of Variation | 1255.45 | |||
| Standard Deviation | 22.18 | |||
| Variance | 492.03 | |||
| Information Ratio | 0.0768 | |||
| Jensen Alpha | 2.2 | |||
| Total Risk Alpha | 0.2065 | |||
| Sortino Ratio | 0.0711 | |||
| Treynor Ratio | (0.21) | |||
| Maximum Drawdown | 157.86 | |||
| Value At Risk | (23.81) | |||
| Potential Upside | 26.32 | |||
| Downside Variance | 574.25 | |||
| Semi Variance | 270.96 | |||
| Expected Short fall | (17.01) | |||
| Skewness | 1.92 | |||
| Kurtosis | 14.78 |
CNNS Backtested Returns
CNNS is abnormally risky given 3 months investment horizon. CNNS secures Sharpe Ratio (or Efficiency) of 0.0807, which signifies that digital coin had a 0.0807 % return per unit of risk over the last 3 months. We were able to break down twenty-seven different technical indicators, which can help you to evaluate if expected returns of 1.83% are justified by taking the suggested risk. Use CNNS mean deviation of 11.55, and Risk Adjusted Performance of 0.0707 to evaluate coin specific risk that cannot be diversified away. The crypto shows a Beta (market volatility) of -8.19, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning CNNS are expected to decrease by larger amounts. On the other hand, during market turmoil, CNNS is expected to outperform it.
Auto-correlation | -0.38 |
Poor reverse predictability
CNNS has poor reverse predictability. Overlapping area represents the amount of predictability between CNNS time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 CNNS price movement. The serial correlation of -0.38 indicates that just about 38.0% of current CNNS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.38 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
CNNS technical crypto coin 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, crypto market cycles, or different charting patterns.
CNNS Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of CNNS volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About CNNS 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 CNNS 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 CNNS based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on CNNS price pattern first instead of the macroeconomic environment surrounding CNNS. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of CNNS's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to CNNS specific price patterns or momentum indicators.
CNNS February 20, 2026 Technical Indicators
Most technical analysis of CNNS 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 CNNS from various momentum indicators to cycle indicators. When you analyze CNNS 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 | 0.0707 | |||
| Market Risk Adjusted Performance | (0.20) | |||
| Mean Deviation | 11.55 | |||
| Semi Deviation | 16.46 | |||
| Downside Deviation | 23.96 | |||
| Coefficient Of Variation | 1255.45 | |||
| Standard Deviation | 22.18 | |||
| Variance | 492.03 | |||
| Information Ratio | 0.0768 | |||
| Jensen Alpha | 2.2 | |||
| Total Risk Alpha | 0.2065 | |||
| Sortino Ratio | 0.0711 | |||
| Treynor Ratio | (0.21) | |||
| Maximum Drawdown | 157.86 | |||
| Value At Risk | (23.81) | |||
| Potential Upside | 26.32 | |||
| Downside Variance | 574.25 | |||
| Semi Variance | 270.96 | |||
| Expected Short fall | (17.01) | |||
| Skewness | 1.92 | |||
| Kurtosis | 14.78 |
CNNS February 20, 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 CNNS 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 | 47,606 | ||
| Daily Balance Of Power | 7.00 | ||
| Rate Of Daily Change | 1.13 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in CNNS. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the AI Portfolio Prophet module to use AI to generate optimal portfolios and find profitable investment opportunities.