FRM Market Value
| FRM Crypto | USD 0.01 0 11.02% |
| Symbol | FRM |
FRM '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 FRM'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 FRM.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in FRM on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding FRM or generate 0.0% return on investment in FRM over 30 days. FRM is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. FRM is peer-to-peer digital currency powered by the Blockchain technology.
FRM 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 FRM'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 FRM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 51.97 | |||
| Value At Risk | (15.91) | |||
| Potential Upside | 16.91 |
FRM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FRM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FRM's standard deviation. In reality, there are many statistical measures that can use FRM historical prices to predict the future FRM's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (1.87) | |||
| Treynor Ratio | 0.1338 |
FRM Backtested Returns
FRM secures Sharpe Ratio (or Efficiency) of -0.0119, which denotes digital coin had a -0.0119% return per unit of risk over the last 3 months. FRM exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FRM's Mean Deviation of 8.12, standard deviation of 10.43, and Coefficient Of Variation of (4,880) to check the risk estimate we provide. The crypto shows a Beta (market volatility) of -1.67, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning FRM are expected to decrease by larger amounts. On the other hand, during market turmoil, FRM is expected to outperform it.
Auto-correlation | 0.00 |
No correlation between past and present
FRM has no correlation between past and present. Overlapping area represents the amount of predictability between FRM time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 FRM price movement. The serial correlation of 0.0 indicates that just 0.0% of current FRM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
FRM lagged returns against current returns
Autocorrelation, which is FRM 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 FRM's crypto coin expected returns. We can calculate the autocorrelation of FRM returns to help us make a trade decision. For example, suppose you find that FRM 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 |
FRM 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 FRM crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FRM crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FRM crypto coin over time.
Current vs Lagged Prices |
| Timeline |
FRM Lagged Returns
When evaluating FRM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FRM crypto coin have on its future price. FRM 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, FRM autocorrelation shows the relationship between FRM crypto coin current value and its past values and can show if there is a momentum factor associated with investing in FRM.
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 FRM offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of FRM'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 Frm Crypto.Check out FRM Correlation, FRM Volatility and Investing Opportunities module to complement your research on FRM. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
FRM 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.