Saga Market Value
| SAGA Crypto | USD 2.65 0.02 0.76% |
| Symbol | Saga |
Saga '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 Saga'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 Saga.
| 06/07/2024 |
| 12/04/2024 |
If you would invest 0.00 in Saga on June 7, 2024 and sell it all today you would earn a total of 0.00 from holding Saga or generate 0.0% return on investment in Saga over 180 days. Saga is related to or competes with Staked Ether, EigenLayer, BLZ, Tokocrypto, and DIA. Saga is peer-to-peer digital currency powered by the Blockchain technology.
Saga 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 Saga'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 Saga upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.98 | |||
| Information Ratio | 0.1685 | |||
| Maximum Drawdown | 38.68 | |||
| Value At Risk | (9.36) | |||
| Potential Upside | 12.15 |
Saga Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Saga's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Saga's standard deviation. In reality, there are many statistical measures that can use Saga historical prices to predict the future Saga's volatility.| Risk Adjusted Performance | 0.1492 | |||
| Jensen Alpha | 1.16 | |||
| Total Risk Alpha | 0.3468 | |||
| Sortino Ratio | 0.2076 | |||
| Treynor Ratio | 0.7414 |
Saga Backtested Returns
Saga is unreasonably risky given 3 months investment horizon. Saga owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates digital coin had a 0.18% return per unit of risk over the last 3 months. We were able to break down thirty different technical indicators, which can help you to evaluate if expected returns of 1.36% are justified by taking the suggested risk. Use Saga Coefficient Of Variation of 543.99, risk adjusted performance of 0.1492, and Semi Deviation of 5.24 to evaluate coin specific risk that cannot be diversified away. The entity has a beta of 1.81, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Saga will likely underperform.
Auto-correlation | -0.44 |
Modest reverse predictability
Saga has modest reverse predictability. Overlapping area represents the amount of predictability between Saga time series from 7th of June 2024 to 5th of September 2024 and 5th of September 2024 to 4th of December 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 Saga price movement. The serial correlation of -0.44 indicates that just about 44.0% of current Saga price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.44 | |
| Spearman Rank Test | -0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
Saga lagged returns against current returns
Autocorrelation, which is Saga 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 Saga's crypto coin expected returns. We can calculate the autocorrelation of Saga returns to help us make a trade decision. For example, suppose you find that Saga 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 |
Saga 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 Saga crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Saga crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Saga crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Saga Lagged Returns
When evaluating Saga's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Saga crypto coin have on its future price. Saga 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, Saga autocorrelation shows the relationship between Saga crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Saga.
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 Saga offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Saga'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 Saga Crypto.Check out Saga Correlation, Saga Volatility and Investing Opportunities module to complement your research on Saga. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Saga 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.