RLF AgTech (Australia) Market Value
| RLF Stock | 0.05 0.01 10.20% |
| Symbol | RLF |
RLF AgTech '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 RLF AgTech's 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 RLF AgTech.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in RLF AgTech on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding RLF AgTech or generate 0.0% return on investment in RLF AgTech over 90 days. RLF AgTech is related to or competes with Australian Strategic, Catalyst Metals, Aristocrat Leisure, Australian Agricultural, and Aurelia Metals. RLF AgTech is entity of Australia. It is traded as Stock on AU exchange. More
RLF AgTech 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 RLF AgTech's 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 RLF AgTech upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.46 | |||
| Information Ratio | 0.0822 | |||
| Maximum Drawdown | 37.14 | |||
| Value At Risk | (10.11) | |||
| Potential Upside | 10.2 |
RLF AgTech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RLF AgTech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RLF AgTech's standard deviation. In reality, there are many statistical measures that can use RLF AgTech historical prices to predict the future RLF AgTech's volatility.| Risk Adjusted Performance | 0.0681 | |||
| Jensen Alpha | 0.5759 | |||
| Total Risk Alpha | 1.35 | |||
| Sortino Ratio | 0.0778 | |||
| Treynor Ratio | 0.4889 |
RLF AgTech Backtested Returns
RLF AgTech appears to be out of control, given 3 months investment horizon. RLF AgTech maintains Sharpe Ratio (i.e., Efficiency) of 0.0562, which implies the firm had a 0.0562 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for RLF AgTech, which you can use to evaluate the volatility of the company. Please evaluate RLF AgTech's semi deviation of 4.99, and Risk Adjusted Performance of 0.0681 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, RLF AgTech holds a performance score of 4. The company holds a Beta of 0.96, which implies possible diversification benefits within a given portfolio. RLF AgTech returns are very sensitive to returns on the market. As the market goes up or down, RLF AgTech is expected to follow. Please check RLF AgTech's jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to make a quick decision on whether RLF AgTech's historical price patterns will revert.
Auto-correlation | 0.13 |
Insignificant predictability
RLF AgTech has insignificant predictability. Overlapping area represents the amount of predictability between RLF AgTech time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 RLF AgTech price movement. The serial correlation of 0.13 indicates that less than 13.0% of current RLF AgTech price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
RLF AgTech lagged returns against current returns
Autocorrelation, which is RLF AgTech 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 RLF AgTech's stock expected returns. We can calculate the autocorrelation of RLF AgTech returns to help us make a trade decision. For example, suppose you find that RLF AgTech has exhibited high autocorrelation historically, and you observe that the 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 |
RLF AgTech 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 RLF AgTech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if RLF AgTech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in RLF AgTech stock over time.
Current vs Lagged Prices |
| Timeline |
RLF AgTech Lagged Returns
When evaluating RLF AgTech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of RLF AgTech stock have on its future price. RLF AgTech 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, RLF AgTech autocorrelation shows the relationship between RLF AgTech stock current value and its past values and can show if there is a momentum factor associated with investing in RLF AgTech.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for RLF Stock Analysis
When running RLF AgTech's price analysis, check to measure RLF AgTech'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 RLF AgTech is operating at the current time. Most of RLF AgTech's value examination focuses on studying past and present price action to predict the probability of RLF AgTech's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move RLF AgTech's price. Additionally, you may evaluate how the addition of RLF AgTech to your portfolios can decrease your overall portfolio volatility.