Ifresh Inc Stock Market Value
| IFMK Stock | USD 0.0001 0.00 0.00% |
| Symbol | IFresh |
IFresh '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 IFresh's 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 IFresh.
| 01/09/2024 |
| 12/29/2025 |
If you would invest 0.00 in IFresh on January 9, 2024 and sell it all today you would earn a total of 0.00 from holding iFresh Inc or generate 0.0% return on investment in IFresh over 720 days. iFresh Inc., through its subsidiaries, operates a network of grocery supermarket chains in the north-eastern United Stat... More
IFresh 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 IFresh's 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 iFresh Inc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1153 | |||
| Maximum Drawdown | 990.0 |
IFresh Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IFresh's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IFresh's standard deviation. In reality, there are many statistical measures that can use IFresh historical prices to predict the future IFresh's volatility.| Risk Adjusted Performance | 0.0914 | |||
| Jensen Alpha | 17.22 | |||
| Total Risk Alpha | 0.9802 | |||
| Treynor Ratio | (0.23) |
iFresh Inc Backtested Returns
IFresh is out of control given 3 months investment horizon. iFresh Inc holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12 % return per unit of risk over the last 3 months. We have collected data for seventeen different technical indicators, which can help you to evaluate if expected returns of 13.23% are justified by taking the suggested risk. Use iFresh Inc Standard Deviation of 112.28, risk adjusted performance of 0.0914, and Market Risk Adjusted Performance of (0.22) to evaluate company specific risk that cannot be diversified away. IFresh holds a performance score of 9 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of -55.77, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning IFresh are expected to decrease by larger amounts. On the other hand, during market turmoil, IFresh is expected to outperform it. Use iFresh Inc jensen alpha and rate of daily change , to analyze future returns on iFresh Inc.
Auto-correlation | -0.03 |
Very weak reverse predictability
iFresh Inc has very weak reverse predictability. Overlapping area represents the amount of predictability between IFresh time series from 9th of January 2024 to 3rd of January 2025 and 3rd of January 2025 to 29th 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 iFresh Inc price movement. The serial correlation of -0.03 indicates that only 3.0% of current IFresh price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
iFresh Inc lagged returns against current returns
Autocorrelation, which is IFresh 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 IFresh's pink sheet expected returns. We can calculate the autocorrelation of IFresh returns to help us make a trade decision. For example, suppose you find that IFresh 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 |
IFresh 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 IFresh pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IFresh pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IFresh pink sheet over time.
Current vs Lagged Prices |
| Timeline |
IFresh Lagged Returns
When evaluating IFresh's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IFresh pink sheet have on its future price. IFresh 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, IFresh autocorrelation shows the relationship between IFresh pink sheet current value and its past values and can show if there is a momentum factor associated with investing in iFresh Inc.
Regressed Prices |
| Timeline |
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Try AI Portfolio ProphetOther Information on Investing in IFresh Pink Sheet
IFresh financial ratios help investors to determine whether IFresh 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 IFresh with respect to the benefits of owning IFresh security.