FTI Market Value
| FTI Crypto | USD 0.000004 0.000001 33.33% |
| Symbol | FTI |
FTI '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 FTI'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 FTI.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in FTI on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding FTI or generate 0.0% return on investment in FTI over 90 days. FTI is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. FTI is peer-to-peer digital currency powered by the Blockchain technology.
FTI 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 FTI'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 FTI upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 82.86 | |||
| Value At Risk | (28.57) | |||
| Potential Upside | 20.0 |
FTI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FTI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FTI's standard deviation. In reality, there are many statistical measures that can use FTI historical prices to predict the future FTI's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.93) | |||
| Total Risk Alpha | 1.05 | |||
| Treynor Ratio | 0.2311 |
FTI Backtested Returns
FTI secures Sharpe Ratio (or Efficiency) of -0.0462, which denotes digital coin had a -0.0462 % return per unit of return volatility over the last 3 months. FTI exposes eighteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm FTI's mean deviation of 7.16, and Standard Deviation of 13.41 to check the risk estimate we provide. The crypto shows a Beta (market volatility) of -2.72, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning FTI are expected to decrease by larger amounts. On the other hand, during market turmoil, FTI is expected to outperform it.
Auto-correlation | 0.51 |
Modest predictability
FTI has modest predictability. Overlapping area represents the amount of predictability between FTI time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 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 FTI price movement. The serial correlation of 0.51 indicates that about 51.0% of current FTI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
FTI lagged returns against current returns
Autocorrelation, which is FTI 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 FTI's crypto coin expected returns. We can calculate the autocorrelation of FTI returns to help us make a trade decision. For example, suppose you find that FTI 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 |
FTI 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 FTI crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FTI crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FTI crypto coin over time.
Current vs Lagged Prices |
| Timeline |
FTI Lagged Returns
When evaluating FTI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FTI crypto coin have on its future price. FTI 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, FTI autocorrelation shows the relationship between FTI crypto coin current value and its past values and can show if there is a momentum factor associated with investing in FTI.
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 FTI offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of FTI'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 Fti Crypto.Check out FTI Correlation, FTI Volatility and Investing Opportunities module to complement your research on FTI. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
FTI 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.