SRN Market Value
| SRN Crypto | USD 0.000076 0.000003 4.11% |
| Symbol | SRN |
SRN '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 SRN'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 SRN.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in SRN on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding SRN or generate 0.0% return on investment in SRN over 90 days. SRN is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. SRN is peer-to-peer digital currency powered by the Blockchain technology.
SRN 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 SRN'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 SRN upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 12.49 | |||
| Value At Risk | (3.70) | |||
| Potential Upside | 3.53 |
SRN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SRN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SRN's standard deviation. In reality, there are many statistical measures that can use SRN historical prices to predict the future SRN's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | 0.042 | |||
| Treynor Ratio | (1.46) |
SRN Backtested Returns
SRN owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates digital coin had a -0.1 % return per unit of standard deviation over the last 3 months. SRN exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SRN's variance of 5.33, and Risk Adjusted Performance of (0.08) to confirm the risk estimate we provide. The entity has a beta of 0.17, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SRN's returns are expected to increase less than the market. However, during the bear market, the loss of holding SRN is expected to be smaller as well.
Auto-correlation | -0.58 |
Good reverse predictability
SRN has good reverse predictability. Overlapping area represents the amount of predictability between SRN 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 SRN price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current SRN price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SRN lagged returns against current returns
Autocorrelation, which is SRN 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 SRN's crypto coin expected returns. We can calculate the autocorrelation of SRN returns to help us make a trade decision. For example, suppose you find that SRN 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 |
SRN 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 SRN crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SRN crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SRN crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SRN Lagged Returns
When evaluating SRN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SRN crypto coin have on its future price. SRN 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, SRN autocorrelation shows the relationship between SRN crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SRN.
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 SRN offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SRN'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 Srn Crypto.Check out SRN Correlation, SRN Volatility and Investing Opportunities module to complement your research on SRN. 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.
SRN 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.