BFT Market Value
| BFT Crypto | USD 0 0.000002 0.17% |
| Symbol | BFT |
BFT '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 BFT'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 BFT.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in BFT on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding BFT or generate 0.0% return on investment in BFT over 90 days. BFT is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. BFT is peer-to-peer digital currency powered by the Blockchain technology.
BFT 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 BFT'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 BFT upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0) | |||
| Maximum Drawdown | 74.35 | |||
| Value At Risk | (25.05) | |||
| Potential Upside | 27.77 |
BFT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BFT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BFT's standard deviation. In reality, there are many statistical measures that can use BFT historical prices to predict the future BFT's volatility.| Risk Adjusted Performance | (0.0002) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | 1.59 | |||
| Treynor Ratio | 0.1271 |
BFT Backtested Returns
BFT secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that digital coin had a close to zero % return per unit of volatility over the last 3 months. BFT exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm BFT's risk adjusted performance of (0.0002), and Mean Deviation of 8.67 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of -1.28, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning BFT are expected to decrease by larger amounts. On the other hand, during market turmoil, BFT is expected to outperform it.
Auto-correlation | 0.71 |
Good predictability
BFT has good predictability. Overlapping area represents the amount of predictability between BFT 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 BFT price movement. The serial correlation of 0.71 indicates that around 71.0% of current BFT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
BFT lagged returns against current returns
Autocorrelation, which is BFT 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 BFT's crypto coin expected returns. We can calculate the autocorrelation of BFT returns to help us make a trade decision. For example, suppose you find that BFT 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 |
BFT 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 BFT crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BFT crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BFT crypto coin over time.
Current vs Lagged Prices |
| Timeline |
BFT Lagged Returns
When evaluating BFT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BFT crypto coin have on its future price. BFT 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, BFT autocorrelation shows the relationship between BFT crypto coin current value and its past values and can show if there is a momentum factor associated with investing in BFT.
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 BFT offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of BFT'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 Bft Crypto.Check out BFT Correlation, BFT Volatility and Investing Opportunities module to complement your research on BFT. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
BFT 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.