Syrup Market Value
| SYRUP Crypto | USD 0.39 0.01 2.50% |
| Symbol | Syrup |
Syrup '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 Syrup'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 Syrup.
| 12/13/2025 |
| 01/12/2026 |
If you would invest 0.00 in Syrup on December 13, 2025 and sell it all today you would earn a total of 0.00 from holding Syrup or generate 0.0% return on investment in Syrup over 30 days. Syrup is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Syrup is peer-to-peer digital currency powered by the Blockchain technology.
Syrup 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 Syrup'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 Syrup upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.41 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 27.26 | |||
| Value At Risk | (7.41) | |||
| Potential Upside | 12.5 |
Syrup Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Syrup's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Syrup's standard deviation. In reality, there are many statistical measures that can use Syrup historical prices to predict the future Syrup's volatility.| Risk Adjusted Performance | 0.0183 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.66) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.075 |
Syrup Backtested Returns
At this point, Syrup is unusually volatile. Syrup owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0128, which indicates digital coin had a 0.0128 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Syrup, which you can use to evaluate the volatility of coin. Please validate Syrup's Coefficient Of Variation of 7817.55, semi deviation of 5.23, and Risk Adjusted Performance of 0.0183 to confirm if the risk estimate we provide is consistent with the expected return of 0.0799%. The entity has a beta of 0.93, which indicates possible diversification benefits within a given portfolio. Syrup returns are very sensitive to returns on the market. As the market goes up or down, Syrup is expected to follow.
Auto-correlation | 0.84 |
Very good predictability
Syrup has very good predictability. Overlapping area represents the amount of predictability between Syrup time series from 13th of December 2025 to 28th of December 2025 and 28th of December 2025 to 12th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Syrup price movement. The serial correlation of 0.84 indicates that around 84.0% of current Syrup price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Syrup lagged returns against current returns
Autocorrelation, which is Syrup 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 Syrup's crypto coin expected returns. We can calculate the autocorrelation of Syrup returns to help us make a trade decision. For example, suppose you find that Syrup 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 |
Syrup 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 Syrup crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Syrup crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Syrup crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Syrup Lagged Returns
When evaluating Syrup's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Syrup crypto coin have on its future price. Syrup 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, Syrup autocorrelation shows the relationship between Syrup crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Syrup.
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 Syrup offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Syrup'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 Syrup Crypto.Check out Syrup Correlation, Syrup Volatility and Investing Opportunities module to complement your research on Syrup. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Syrup 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.