Corn Technical Analysis
| CORN Crypto | USD 0.07 0.0008 1.14% |
As of the 25th of January, Corn shows the Mean Deviation of 3.31, risk adjusted performance of 0.0016, and Standard Deviation of 4.9. Corn technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Corn Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Corn, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CornCorn |
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.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Corn on October 27, 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 90 days. Corn is related to or competes with XRP, Solana, TRON, Staked Ether, Hyperliquid, WhiteBIT Token, and World Liberty. 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 | 31.91 | |||
| Value At Risk | (6.15) | |||
| Potential Upside | 9.31 |
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 | 0.0016 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | 0.2255 |
Corn January 25, 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 | 0.0016 | |||
| Market Risk Adjusted Performance | 0.2355 | |||
| Mean Deviation | 3.31 | |||
| Coefficient Of Variation | (10,567) | |||
| Standard Deviation | 4.9 | |||
| Variance | 24.05 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | 0.2255 | |||
| Maximum Drawdown | 31.91 | |||
| Value At Risk | (6.15) | |||
| Potential Upside | 9.31 | |||
| Skewness | 1.06 | |||
| Kurtosis | 3.59 |
Corn Backtested Returns
At this point, Corn is very risky. Corn secures Sharpe Ratio (or Efficiency) of 0.0232, which signifies that digital coin had a 0.0232 % return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Corn, which you can use to evaluate the volatility of coin. Please confirm Corn's Risk Adjusted Performance of 0.0016, mean deviation of 3.31, and Standard Deviation of 4.9 to double-check if the risk estimate we provide is consistent with the expected return of 0.11%. The crypto shows a Beta (market volatility) of -0.25, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Corn are expected to decrease at a much lower rate. During the bear market, Corn is likely to outperform the market.
Auto-correlation | 0.19 |
Very weak predictability
Corn has very weak predictability. Overlapping area represents the amount of predictability between Corn time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th 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 Corn price movement. The serial correlation of 0.19 indicates that over 19.0% of current Corn price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
Corn Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Corn volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Corn 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 Corn 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 Corn based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Corn price pattern first instead of the macroeconomic environment surrounding Corn. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Corn'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 Corn specific price patterns or momentum indicators.
Corn January 25, 2026 Technical Indicators
Most technical analysis of Corn 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 Corn from various momentum indicators to cycle indicators. When you analyze Corn 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 | 0.0016 | |||
| Market Risk Adjusted Performance | 0.2355 | |||
| Mean Deviation | 3.31 | |||
| Coefficient Of Variation | (10,567) | |||
| Standard Deviation | 4.9 | |||
| Variance | 24.05 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | 0.2255 | |||
| Maximum Drawdown | 31.91 | |||
| Value At Risk | (6.15) | |||
| Potential Upside | 9.31 | |||
| Skewness | 1.06 | |||
| Kurtosis | 3.59 |
Corn January 25, 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 Corn 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 0.07 | ||
| Day Typical Price | 0.07 | ||
| Price Action Indicator | 0.00 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Corn. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in employment. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.