Oracle Commodity Holding Stock Technical Analysis
| ORLCF Stock | 0.05 0 9.48% |
Oracle Commodity Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Oracle, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to OracleOracle |
Oracle Commodity '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 Oracle Commodity's otc stock 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 Oracle Commodity.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Oracle Commodity on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Oracle Commodity Holding or generate 0.0% return on investment in Oracle Commodity over 90 days.
Oracle Commodity 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 Oracle Commodity's otc stock 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 Oracle Commodity Holding upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.55 | |||
| Information Ratio | 0.0454 | |||
| Maximum Drawdown | 30.35 | |||
| Value At Risk | (11.57) | |||
| Potential Upside | 13.04 |
Oracle Commodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oracle Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oracle Commodity's standard deviation. In reality, there are many statistical measures that can use Oracle Commodity historical prices to predict the future Oracle Commodity's volatility.| Risk Adjusted Performance | 0.0499 | |||
| Jensen Alpha | 0.3681 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | 0.0446 | |||
| Treynor Ratio | 0.7865 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oracle Commodity's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Oracle Commodity January 28, 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 | 0.0499 | |||
| Market Risk Adjusted Performance | 0.7965 | |||
| Mean Deviation | 5.87 | |||
| Semi Deviation | 7.02 | |||
| Downside Deviation | 7.55 | |||
| Coefficient Of Variation | 1800.34 | |||
| Standard Deviation | 7.4 | |||
| Variance | 54.82 | |||
| Information Ratio | 0.0454 | |||
| Jensen Alpha | 0.3681 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | 0.0446 | |||
| Treynor Ratio | 0.7865 | |||
| Maximum Drawdown | 30.35 | |||
| Value At Risk | (11.57) | |||
| Potential Upside | 13.04 | |||
| Downside Variance | 56.99 | |||
| Semi Variance | 49.22 | |||
| Expected Short fall | (6.58) | |||
| Skewness | (0.02) | |||
| Kurtosis | 0.0481 |
Oracle Commodity Holding Backtested Returns
Oracle Commodity Holding maintains Sharpe Ratio (i.e., Efficiency) of 0.0555, which implies the firm had a 0.0555 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Oracle Commodity Holding, which you can use to evaluate the volatility of the company. Please evaluate Oracle Commodity's Risk Adjusted Performance of 0.0499, semi deviation of 7.02, and Coefficient Of Variation of 1800.34 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Oracle Commodity holds a performance score of 4. The company holds a Beta of 0.51, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Oracle Commodity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Oracle Commodity is expected to be smaller as well. Please check Oracle Commodity's treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to make a quick decision on whether Oracle Commodity's historical price patterns will revert.
Auto-correlation | 0.47 |
Average predictability
Oracle Commodity Holding has average predictability. Overlapping area represents the amount of predictability between Oracle Commodity time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th 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 Oracle Commodity Holding price movement. The serial correlation of 0.47 indicates that about 47.0% of current Oracle Commodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Oracle Commodity technical otc stock 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, otc market cycles, or different charting patterns.
Oracle Commodity Holding 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 Oracle Commodity Holding volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Oracle Commodity January 28, 2026 Technical Indicators
Most technical analysis of Oracle 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 Oracle from various momentum indicators to cycle indicators. When you analyze Oracle 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 | 0.0499 | |||
| Market Risk Adjusted Performance | 0.7965 | |||
| Mean Deviation | 5.87 | |||
| Semi Deviation | 7.02 | |||
| Downside Deviation | 7.55 | |||
| Coefficient Of Variation | 1800.34 | |||
| Standard Deviation | 7.4 | |||
| Variance | 54.82 | |||
| Information Ratio | 0.0454 | |||
| Jensen Alpha | 0.3681 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | 0.0446 | |||
| Treynor Ratio | 0.7865 | |||
| Maximum Drawdown | 30.35 | |||
| Value At Risk | (11.57) | |||
| Potential Upside | 13.04 | |||
| Downside Variance | 56.99 | |||
| Semi Variance | 49.22 | |||
| Expected Short fall | (6.58) | |||
| Skewness | (0.02) | |||
| Kurtosis | 0.0481 |
Oracle Commodity January 28, 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 Oracle 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 | 29,323 | ||
| Daily Balance Of Power | 0.39 | ||
| Rate Of Daily Change | 1.09 | ||
| Day Median Price | 0.05 | ||
| Day Typical Price | 0.05 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Oracle OTC Stock analysis
When running Oracle Commodity's price analysis, check to measure Oracle Commodity's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Oracle Commodity is operating at the current time. Most of Oracle Commodity's value examination focuses on studying past and present price action to predict the probability of Oracle Commodity's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Oracle Commodity's price. Additionally, you may evaluate how the addition of Oracle Commodity to your portfolios can decrease your overall portfolio volatility.
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