ARDR Market Value
| ARDR Crypto | USD 0.12 0.02 20.48% |
| Symbol | ARDR |
ARDR '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 ARDR'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 ARDR.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in ARDR on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding ARDR or generate 0.0% return on investment in ARDR over 90 days. ARDR is related to or competes with EigenLayer, EUR CoinVertible, Morpho, and DIA. ARDR is peer-to-peer digital currency powered by the Blockchain technology.
ARDR 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 ARDR'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 ARDR upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 25.76 | |||
| Value At Risk | (7.84) | |||
| Potential Upside | 9.09 |
ARDR Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ARDR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ARDR's standard deviation. In reality, there are many statistical measures that can use ARDR historical prices to predict the future ARDR's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | 0.1275 | |||
| Total Risk Alpha | (1.33) | |||
| Treynor Ratio | 0.0957 |
ARDR Backtested Returns
ARDR secures Sharpe Ratio (or Efficiency) of -0.0191, which signifies that digital coin had a -0.0191 % return per unit of risk over the last 3 months. ARDR exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ARDR's Mean Deviation of 3.34, risk adjusted performance of (0.01), and Standard Deviation of 5.28 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of -1.16, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning ARDR are expected to decrease by larger amounts. On the other hand, during market turmoil, ARDR is expected to outperform it.
Auto-correlation | -0.45 |
Modest reverse predictability
ARDR has modest reverse predictability. Overlapping area represents the amount of predictability between ARDR time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 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 ARDR price movement. The serial correlation of -0.45 indicates that just about 45.0% of current ARDR price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.45 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
ARDR lagged returns against current returns
Autocorrelation, which is ARDR 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 ARDR's crypto coin expected returns. We can calculate the autocorrelation of ARDR returns to help us make a trade decision. For example, suppose you find that ARDR 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 |
ARDR 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 ARDR crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ARDR crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ARDR crypto coin over time.
Current vs Lagged Prices |
| Timeline |
ARDR Lagged Returns
When evaluating ARDR's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ARDR crypto coin have on its future price. ARDR 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, ARDR autocorrelation shows the relationship between ARDR crypto coin current value and its past values and can show if there is a momentum factor associated with investing in ARDR.
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.| VALE | Vale SA ADR | |
| EGY | Vaalco Energy | |
| CMCSA | Comcast Corp |
Check out ARDR Correlation, ARDR Volatility and Investing Opportunities module to complement your research on ARDR. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
ARDR 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.