CNNS Market Value
| CNNS Crypto | USD 0.000075 0.000002 2.74% |
| Symbol | CNNS |
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.
| 09/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in CNNS on September 29, 2024 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 60 days. CNNS is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Stellar, and Worldcoin. 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 | 15.04 | |||
| Information Ratio | 0.1027 | |||
| Maximum Drawdown | 136.54 | |||
| Value At Risk | (28.38) | |||
| Potential Upside | 46.0 |
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 | 0.0932 | |||
| Jensen Alpha | 2.23 | |||
| Total Risk Alpha | (0.84) | |||
| Sortino Ratio | 0.1362 | |||
| Treynor Ratio | (3.51) |
CNNS Backtested Returns
CNNS is abnormally risky given 3 months investment horizon. CNNS secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that digital coin had a 0.11% return per unit of risk over the last 3 months. We were able to break down twenty-six different technical indicators, which can help you to evaluate if expected returns of 2.24% are justified by taking the suggested risk. Use CNNS risk adjusted performance of 0.0932, and Mean Deviation of 9.78 to evaluate coin specific risk that cannot be diversified away. The crypto shows a Beta (market volatility) of -0.62, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning CNNS are expected to decrease at a much lower rate. During the bear market, CNNS is likely to outperform the market.
Auto-correlation | -0.48 |
Modest reverse predictability
CNNS has modest reverse predictability. Overlapping area represents the amount of predictability between CNNS time series from 29th of September 2024 to 29th of October 2024 and 29th of October 2024 to 28th of November 2024. 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 -0.48 indicates that about 48.0% of current CNNS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.48 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
CNNS lagged returns against current returns
Autocorrelation, which is CNNS crypto coin's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting CNNS's crypto coin expected returns. We can calculate the autocorrelation of CNNS returns to help us make a trade decision. For example, suppose you find that CNNS has exhibited high autocorrelation historically, and you observe that the crypto coin is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
CNNS regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If CNNS crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CNNS crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CNNS crypto coin over time.
Current vs Lagged Prices |
| Timeline |
CNNS Lagged Returns
When evaluating CNNS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CNNS crypto coin have on its future price. CNNS autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, CNNS autocorrelation shows the relationship between CNNS crypto coin current value and its past values and can show if there is a momentum factor associated with investing in CNNS.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether CNNS offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of CNNS's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Cnns Crypto.Check out CNNS Correlation, CNNS Volatility and Investing Opportunities module to complement your research on CNNS. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
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.