ResearchCoin Market Value
| RSC Crypto | USD 0.14 0.01 7.69% |
| Symbol | ResearchCoin |
ResearchCoin '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 ResearchCoin'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 ResearchCoin.
| 01/24/2024 |
| 01/13/2026 |
If you would invest 0.00 in ResearchCoin on January 24, 2024 and sell it all today you would earn a total of 0.00 from holding ResearchCoin or generate 0.0% return on investment in ResearchCoin over 720 days. ResearchCoin is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. ResearchCoin is peer-to-peer digital currency powered by the Blockchain technology.
ResearchCoin 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 ResearchCoin'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 ResearchCoin upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 53.91 | |||
| Value At Risk | (15.38) | |||
| Potential Upside | 15.0 |
ResearchCoin Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ResearchCoin's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ResearchCoin's standard deviation. In reality, there are many statistical measures that can use ResearchCoin historical prices to predict the future ResearchCoin's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.62) | |||
| Total Risk Alpha | (1.82) | |||
| Treynor Ratio | 0.3951 |
ResearchCoin Backtested Returns
ResearchCoin maintains Sharpe Ratio (i.e., Efficiency) of -0.15, which implies digital coin had a -0.15 % return per unit of risk over the last 3 months. ResearchCoin exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check ResearchCoin's Coefficient Of Variation of (1,100), variance of 75.73, and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The crypto holds a Beta of -2.03, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning ResearchCoin are expected to decrease by larger amounts. On the other hand, during market turmoil, ResearchCoin is expected to outperform it.
Auto-correlation | -0.59 |
Good reverse predictability
ResearchCoin has good reverse predictability. Overlapping area represents the amount of predictability between ResearchCoin time series from 24th of January 2024 to 18th of January 2025 and 18th of January 2025 to 13th 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 ResearchCoin price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current ResearchCoin price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.59 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
ResearchCoin lagged returns against current returns
Autocorrelation, which is ResearchCoin 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 ResearchCoin's crypto coin expected returns. We can calculate the autocorrelation of ResearchCoin returns to help us make a trade decision. For example, suppose you find that ResearchCoin 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 |
ResearchCoin 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 ResearchCoin crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ResearchCoin crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ResearchCoin crypto coin over time.
Current vs Lagged Prices |
| Timeline |
ResearchCoin Lagged Returns
When evaluating ResearchCoin's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ResearchCoin crypto coin have on its future price. ResearchCoin 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, ResearchCoin autocorrelation shows the relationship between ResearchCoin crypto coin current value and its past values and can show if there is a momentum factor associated with investing in ResearchCoin.
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 ResearchCoin offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ResearchCoin'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 Researchcoin Crypto.Check out ResearchCoin Correlation, ResearchCoin Volatility and Investing Opportunities module to complement your research on ResearchCoin. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
ResearchCoin 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.