Corn Market Value
| CORN Crypto | USD 0.07 0.0004 0.56% |
| Symbol | Corn |
Corn '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 Corn'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 Corn.
| 01/02/2025 |
| 12/28/2025 |
If you would invest 0.00 in Corn on January 2, 2025 and sell it all today you would earn a total of 0.00 from holding Corn or generate 0.0% return on investment in Corn over 360 days. Corn is related to or competes with Staked Ether, EigenLayer, Morpho, Allora, and DIA. Corn is peer-to-peer digital currency powered by the Blockchain technology.
Corn 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 Corn'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 Corn upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 37.77 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 13.05 |
Corn Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Corn's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Corn's standard deviation. In reality, there are many statistical measures that can use Corn historical prices to predict the future Corn's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | 0.0072 | |||
| Total Risk Alpha | (0.85) | |||
| Treynor Ratio | 0.0714 |
Corn Backtested Returns
Corn secures Sharpe Ratio (or Efficiency) of -0.0412, which signifies that digital coin had a -0.0412 % return per unit of risk over the last 3 months. Corn exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Corn's insignificant Risk Adjusted Performance, mean deviation of 4.71, and Standard Deviation of 6.67 to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of -1.9, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Corn are expected to decrease by larger amounts. On the other hand, during market turmoil, Corn is expected to outperform it.
Auto-correlation | -0.04 |
Very weak reverse predictability
Corn has very weak reverse predictability. Overlapping area represents the amount of predictability between Corn time series from 2nd of January 2025 to 1st of July 2025 and 1st of July 2025 to 28th of December 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 Corn price movement. The serial correlation of -0.04 indicates that only as little as 4.0% of current Corn price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Corn lagged returns against current returns
Autocorrelation, which is Corn 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 Corn's crypto coin expected returns. We can calculate the autocorrelation of Corn returns to help us make a trade decision. For example, suppose you find that Corn 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 |
Corn 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 Corn crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Corn crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Corn crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Corn Lagged Returns
When evaluating Corn's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Corn crypto coin have on its future price. Corn 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, Corn autocorrelation shows the relationship between Corn crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Corn.
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 Corn offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Corn'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 Corn Crypto.Check out Corn Correlation, Corn Volatility and Investing Opportunities module to complement your research on Corn. You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Corn 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.