ResearchCoin Technical Analysis
| RSC Crypto | USD 0.10 0.01 9.09% |
As of the 2nd of February, ResearchCoin holds the Variance of 55.34, risk adjusted performance of (0.13), and Coefficient Of Variation of (521.31). Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of ResearchCoin, as well as the relationship between them.
ResearchCoin Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ResearchCoin, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ResearchCoinResearchCoin |
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.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in ResearchCoin on November 4, 2025 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 90 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 | (0.20) | |||
| Maximum Drawdown | 32.05 | |||
| Value At Risk | (13.64) | |||
| 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 | (0.13) | |||
| Jensen Alpha | (1.46) | |||
| Total Risk Alpha | (1.80) | |||
| Treynor Ratio | (2.22) |
ResearchCoin February 2, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.13) | |||
| Market Risk Adjusted Performance | (2.21) | |||
| Mean Deviation | 5.65 | |||
| Coefficient Of Variation | (521.31) | |||
| Standard Deviation | 7.44 | |||
| Variance | 55.34 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (1.46) | |||
| Total Risk Alpha | (1.80) | |||
| Treynor Ratio | (2.22) | |||
| Maximum Drawdown | 32.05 | |||
| Value At Risk | (13.64) | |||
| Potential Upside | 15.0 | |||
| Skewness | 0.4267 | |||
| Kurtosis | 0.2662 |
ResearchCoin Backtested Returns
ResearchCoin maintains Sharpe Ratio (i.e., Efficiency) of -0.2, which implies digital coin had a -0.2 % return per unit of risk over the last 3 months. ResearchCoin exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check ResearchCoin's Risk Adjusted Performance of (0.13), coefficient of variation of (521.31), and Variance of 55.34 to confirm the risk estimate we provide. The crypto holds a Beta of 0.65, which implies possible diversification benefits within a given portfolio. As returns on the market increase, ResearchCoin's returns are expected to increase less than the market. However, during the bear market, the loss of holding ResearchCoin is expected to be smaller as well.
Auto-correlation | 0.67 |
Good predictability
ResearchCoin has good predictability. Overlapping area represents the amount of predictability between ResearchCoin time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd of February 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 0.67 indicates that around 67.0% of current ResearchCoin price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
ResearchCoin Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of ResearchCoin volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About ResearchCoin Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of ResearchCoin on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of ResearchCoin based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on ResearchCoin price pattern first instead of the macroeconomic environment surrounding ResearchCoin. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of ResearchCoin's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to ResearchCoin specific price patterns or momentum indicators.
ResearchCoin February 2, 2026 Technical Indicators
Most technical analysis of ResearchCoin help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for ResearchCoin from various momentum indicators to cycle indicators. When you analyze ResearchCoin charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.13) | |||
| Market Risk Adjusted Performance | (2.21) | |||
| Mean Deviation | 5.65 | |||
| Coefficient Of Variation | (521.31) | |||
| Standard Deviation | 7.44 | |||
| Variance | 55.34 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (1.46) | |||
| Total Risk Alpha | (1.80) | |||
| Treynor Ratio | (2.22) | |||
| Maximum Drawdown | 32.05 | |||
| Value At Risk | (13.64) | |||
| Potential Upside | 15.0 | |||
| Skewness | 0.4267 | |||
| Kurtosis | 0.2662 |
ResearchCoin February 2, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as ResearchCoin stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.09 | ||
| Daily Balance Of Power | (1.00) | ||
| Rate Of Daily Change | 0.91 | ||
| Day Median Price | 0.11 | ||
| Day Typical Price | 0.10 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.01 |
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in ResearchCoin. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.