Big Time Market Value
| BIGTIME Crypto | USD 0.05 0 3.22% |
| Symbol | Big |
Big Time '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 Big Time'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 Big Time.
| 12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in Big Time on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Big Time or generate 0.0% return on investment in Big Time over 90 days. Big Time is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. Big Time is peer-to-peer digital currency powered by the Blockchain technology.
Big Time 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 Big Time'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 Big Time upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 30.01 | |||
| Value At Risk | (13.33) | |||
| Potential Upside | 8.33 |
Big Time Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Big Time's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Big Time's standard deviation. In reality, there are many statistical measures that can use Big Time historical prices to predict the future Big Time's volatility.| Risk Adjusted Performance | (0.21) | |||
| Jensen Alpha | (1.60) | |||
| Total Risk Alpha | (0.93) | |||
| Treynor Ratio | (2.51) |
Big Time Backtested Returns
Big Time secures Sharpe Ratio (or Efficiency) of -0.22, which signifies that digital coin had a -0.22 % return per unit of standard deviation over the last 3 months. Big Time exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Big Time's mean deviation of 5.24, and Risk Adjusted Performance of (0.21) to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of 0.66, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Big Time's returns are expected to increase less than the market. However, during the bear market, the loss of holding Big Time is expected to be smaller as well.
Auto-correlation | 0.76 |
Good predictability
Big Time has good predictability. Overlapping area represents the amount of predictability between Big Time time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th 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 Big Time price movement. The serial correlation of 0.76 indicates that around 76.0% of current Big Time price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.76 | |
| Spearman Rank Test | 0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Big Time lagged returns against current returns
Autocorrelation, which is Big Time 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 Big Time's crypto coin expected returns. We can calculate the autocorrelation of Big Time returns to help us make a trade decision. For example, suppose you find that Big Time 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 |
Big Time 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 Big Time crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Big Time crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Big Time crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Big Time Lagged Returns
When evaluating Big Time's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Big Time crypto coin have on its future price. Big Time 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, Big Time autocorrelation shows the relationship between Big Time crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Big Time.
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 Big Time is a strong investment it is important to analyze Big Time's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Big Time's future performance.Check out Big Time Correlation, Big Time Volatility and Investing Opportunities module to complement your research on Big Time. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Big Time 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.