Agrisolar Solutions Stock Market Value
| TTNN Stock | USD 0.03 0.00 0.00% |
| Symbol | AgriSolar |
AgriSolar Solutions '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 AgriSolar Solutions' pink sheet 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 AgriSolar Solutions.
| 07/01/2025 |
| 12/28/2025 |
If you would invest 0.00 in AgriSolar Solutions on July 1, 2025 and sell it all today you would earn a total of 0.00 from holding AgriSolar Solutions or generate 0.0% return on investment in AgriSolar Solutions over 180 days. AgriSolar Solutions is related to or competes with Allied Resources. Titan NRG Inc., through its subsidiaries, operates as a downstream energy and transportation company in the United State... More
AgriSolar Solutions 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 AgriSolar Solutions' pink sheet 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 AgriSolar Solutions upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 38.24 | |||
| Information Ratio | 0.0935 | |||
| Maximum Drawdown | 122.86 | |||
| Value At Risk | (28.26) | |||
| Potential Upside | 27.78 |
AgriSolar Solutions Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AgriSolar Solutions' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AgriSolar Solutions' standard deviation. In reality, there are many statistical measures that can use AgriSolar Solutions historical prices to predict the future AgriSolar Solutions' volatility.| Risk Adjusted Performance | 0.0785 | |||
| Jensen Alpha | 1.96 | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | 0.0448 | |||
| Treynor Ratio | (0.78) |
AgriSolar Solutions Backtested Returns
AgriSolar Solutions is out of control given 3 months investment horizon. AgriSolar Solutions secures Sharpe Ratio (or Efficiency) of 0.0981, which signifies that the company had a 0.0981 % return per unit of risk over the last 3 months. We were able to interpolate twenty-five different technical indicators, which can help you to evaluate if expected returns of 1.8% are justified by taking the suggested risk. Use AgriSolar Solutions Risk Adjusted Performance of 0.0785, downside deviation of 38.24, and Mean Deviation of 9.16 to evaluate company specific risk that cannot be diversified away. AgriSolar Solutions holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -2.29, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning AgriSolar Solutions are expected to decrease by larger amounts. On the other hand, during market turmoil, AgriSolar Solutions is expected to outperform it. Use AgriSolar Solutions total risk alpha, potential upside, as well as the relationship between the Potential Upside and kurtosis , to analyze future returns on AgriSolar Solutions.
Auto-correlation | -0.09 |
Very weak reverse predictability
AgriSolar Solutions has very weak reverse predictability. Overlapping area represents the amount of predictability between AgriSolar Solutions time series from 1st of July 2025 to 29th of September 2025 and 29th of September 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 AgriSolar Solutions price movement. The serial correlation of -0.09 indicates that less than 9.0% of current AgriSolar Solutions price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AgriSolar Solutions lagged returns against current returns
Autocorrelation, which is AgriSolar Solutions pink sheet'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 AgriSolar Solutions' pink sheet expected returns. We can calculate the autocorrelation of AgriSolar Solutions returns to help us make a trade decision. For example, suppose you find that AgriSolar Solutions has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
AgriSolar Solutions 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 AgriSolar Solutions pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AgriSolar Solutions pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AgriSolar Solutions pink sheet over time.
Current vs Lagged Prices |
| Timeline |
AgriSolar Solutions Lagged Returns
When evaluating AgriSolar Solutions' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AgriSolar Solutions pink sheet have on its future price. AgriSolar Solutions 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, AgriSolar Solutions autocorrelation shows the relationship between AgriSolar Solutions pink sheet current value and its past values and can show if there is a momentum factor associated with investing in AgriSolar Solutions.
Regressed Prices |
| Timeline |
Pair Trading with AgriSolar Solutions
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if AgriSolar Solutions position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in AgriSolar Solutions will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to AgriSolar Solutions could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AgriSolar Solutions when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back AgriSolar Solutions - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling AgriSolar Solutions to buy it.
The correlation of AgriSolar Solutions is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as AgriSolar Solutions moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AgriSolar Solutions moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for AgriSolar Solutions can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in AgriSolar Pink Sheet
AgriSolar Solutions financial ratios help investors to determine whether AgriSolar Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in AgriSolar with respect to the benefits of owning AgriSolar Solutions security.