Oracle Commodity Holding Stock Market Value
| ORLCF Stock | 0.04 0 2.86% |
| Symbol | Oracle |
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.
| 07/23/2025 |
| 01/19/2026 |
If you would invest 0.00 in Oracle Commodity on July 23, 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 180 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.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 31.81 | |||
| 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 | (0.06) | |||
| Jensen Alpha | (0.78) | |||
| Total Risk Alpha | (1.62) | |||
| Treynor Ratio | (0.85) |
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 Holding Backtested Returns
Oracle Commodity Holding maintains Sharpe Ratio (i.e., Efficiency) of -0.0364, which implies the firm had a -0.0364 % return per unit of risk over the last 3 months. Oracle Commodity Holding exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oracle Commodity's Coefficient Of Variation of (1,001), variance of 48.65, and Risk Adjusted Performance of (0.06) to confirm the risk estimate we provide. The company holds a Beta of 0.83, 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. At this point, Oracle Commodity Holding has a negative expected return of -0.25%. Please make sure to check Oracle Commodity's potential upside, day median price, and the relationship between the treynor ratio and accumulation distribution , to decide if Oracle Commodity Holding performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.06 |
Very weak reverse predictability
Oracle Commodity Holding has very weak reverse predictability. Overlapping area represents the amount of predictability between Oracle Commodity time series from 23rd of July 2025 to 21st of October 2025 and 21st of October 2025 to 19th 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 -0.06 indicates that barely 6.0% of current Oracle Commodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | -0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Oracle Commodity Holding lagged returns against current returns
Autocorrelation, which is Oracle Commodity otc stock'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 Oracle Commodity's otc stock expected returns. We can calculate the autocorrelation of Oracle Commodity returns to help us make a trade decision. For example, suppose you find that Oracle Commodity has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
Oracle Commodity 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 Oracle Commodity otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oracle Commodity otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oracle Commodity otc stock over time.
Current vs Lagged Prices |
| Timeline |
Oracle Commodity Lagged Returns
When evaluating Oracle Commodity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oracle Commodity otc stock have on its future price. Oracle Commodity 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, Oracle Commodity autocorrelation shows the relationship between Oracle Commodity otc stock current value and its past values and can show if there is a momentum factor associated with investing in Oracle Commodity Holding.
Regressed Prices |
| Timeline |