Conflux Network Market Value
| CFX Crypto | USD 0.24 0.01 4.35% |
| Symbol | Conflux |
Conflux Network '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 Conflux Network'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 Conflux Network.
| 04/21/2024 |
| 05/21/2024 |
If you would invest 0.00 in Conflux Network on April 21, 2024 and sell it all today you would earn a total of 0.00 from holding Conflux Network or generate 0.0% return on investment in Conflux Network over 30 days. Conflux Network is related to or competes with Bitcoin, Dogecoin, Bitcoin Cash, Litecoin, Ethereum Classic, Arweave, and Monero. Conflux Network is peer-to-peer digital currency powered by the Blockchain technology.
Conflux Network 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 Conflux Network'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 Conflux Network upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.96 | |||
| Information Ratio | 0.031 | |||
| Maximum Drawdown | 43.52 | |||
| Value At Risk | (12.20) | |||
| Potential Upside | 13.16 |
Conflux Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Conflux Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Conflux Network's standard deviation. In reality, there are many statistical measures that can use Conflux Network historical prices to predict the future Conflux Network's volatility.| Risk Adjusted Performance | 0.0327 | |||
| Jensen Alpha | 0.0687 | |||
| Total Risk Alpha | (0.63) | |||
| Sortino Ratio | 0.0246 | |||
| Treynor Ratio | 0.0871 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Conflux Network's 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.
Conflux Network Backtested Returns
Conflux Network appears to be unreasonably risky, given 3 months investment horizon. Conflux Network secures Sharpe Ratio (or Efficiency) of 0.0327, which signifies that digital coin had a 0.0327% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Conflux Network, which you can use to evaluate the volatility of coin. Please makes use of Conflux Network's Risk Adjusted Performance of 0.0327, downside deviation of 9.96, and Mean Deviation of 5.63 to double-check if our risk estimates are consistent with your expectations. The crypto shows a Beta (market volatility) of 3.6, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Conflux Network will likely underperform.
Auto-correlation | -0.35 |
Poor reverse predictability
Conflux Network has poor reverse predictability. Overlapping area represents the amount of predictability between Conflux Network time series from 21st of April 2024 to 6th of May 2024 and 6th of May 2024 to 21st of May 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 Conflux Network price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Conflux Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Conflux Network lagged returns against current returns
Autocorrelation, which is Conflux Network 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 Conflux Network's crypto coin expected returns. We can calculate the autocorrelation of Conflux Network returns to help us make a trade decision. For example, suppose you find that Conflux Network 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 |
Conflux Network 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 Conflux Network crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Conflux Network crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Conflux Network crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Conflux Network Lagged Returns
When evaluating Conflux Network's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Conflux Network crypto coin have on its future price. Conflux Network 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, Conflux Network autocorrelation shows the relationship between Conflux Network crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Conflux Network.
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 Conflux Network offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Conflux Network'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 Conflux Network Crypto.Check out Conflux Network Correlation, Conflux Network Volatility and Investing Opportunities module to complement your research on Conflux Network. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Conflux Network 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.