Fwog Market Value
| FWOG Crypto | 0.33 0.05 17.86% |
| Symbol | Fwog |
Please note, there is a significant difference between Fwog's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine Fwog value by looking at such factors as its true mass adoption, usability, application, safety as well as its ability to resist fraud and manipulation. On the other hand, Fwog's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.
Fwog '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 Fwog'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 Fwog.
| 12/05/2024 |
| 01/04/2025 |
If you would invest 0.00 in Fwog on December 5, 2024 and sell it all today you would earn a total of 0.00 from holding Fwog or generate 0.0% return on investment in Fwog over 30 days. Fwog is related to or competes with XRP, Solana, Sui, Staked Ether, Toncoin, TRON, and Worldcoin. Fwog is peer-to-peer digital currency powered by the Blockchain technology.
Fwog 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 Fwog'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 Fwog upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.82 | |||
| Information Ratio | 0.1736 | |||
| Maximum Drawdown | 75.0 | |||
| Value At Risk | (15.22) | |||
| Potential Upside | 44.44 |
Fwog Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fwog's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fwog's standard deviation. In reality, there are many statistical measures that can use Fwog historical prices to predict the future Fwog's volatility.| Risk Adjusted Performance | 0.1515 | |||
| Jensen Alpha | 2.69 | |||
| Total Risk Alpha | 2.5 | |||
| Sortino Ratio | 0.231 | |||
| Treynor Ratio | 0.5998 |
Fwog Backtested Returns
Fwog is abnormally risky given 3 months investment horizon. Fwog secures Sharpe Ratio (or Efficiency) of 0.13, which denotes digital coin had a 0.13% return per unit of risk over the last 3 months. We were able to break down twenty-eight different technical indicators, which can help you to evaluate if expected returns of 16.57% are justified by taking the suggested risk. Use Fwog Coefficient Of Variation of 571.21, mean deviation of 11.32, and Downside Deviation of 11.82 to evaluate coin specific risk that cannot be diversified away. The crypto shows a Beta (market volatility) of 4.57, which means 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, Fwog will likely underperform.
Auto-correlation | -0.08 |
Very weak reverse predictability
Fwog has very weak reverse predictability. Overlapping area represents the amount of predictability between Fwog time series from 5th of December 2024 to 20th of December 2024 and 20th of December 2024 to 4th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fwog price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Fwog price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Fwog lagged returns against current returns
Autocorrelation, which is Fwog 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 Fwog's crypto coin expected returns. We can calculate the autocorrelation of Fwog returns to help us make a trade decision. For example, suppose you find that Fwog 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 |
Fwog 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 Fwog crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fwog crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fwog crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Fwog Lagged Returns
When evaluating Fwog's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fwog crypto coin have on its future price. Fwog 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, Fwog autocorrelation shows the relationship between Fwog crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Fwog.
Regressed Prices |
| Timeline |
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Check out Fwog Correlation, Fwog Volatility and Investing Opportunities module to complement your research on Fwog. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Fwog 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.