KTRIF's market value is the price at which a share of KTRIF trades on a public exchange. It measures the collective expectations of KTRIF investors about its performance. KTRIF is trading at 5.0E-4 as of the 2nd of January 2026. This is a 97.5 percent decrease since the beginning of the trading day. The stock's lowest day price was 5.0E-4. With this module, you can estimate the performance of a buy and hold strategy of KTRIF and determine expected loss or profit from investing in KTRIF over a given investment horizon. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
Symbol
KTRIF
KTRIF '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 KTRIF'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 KTRIF.
0.00
12/03/2025
No Change 0.00
0.0
In 31 days
01/02/2026
0.00
If you would invest 0.00 in KTRIF on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding KTRIF or generate 0.0% return on investment in KTRIF over 30 days.
KTRIF 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 KTRIF'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 KTRIF upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for KTRIF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KTRIF's standard deviation. In reality, there are many statistical measures that can use KTRIF historical prices to predict the future KTRIF's volatility.
KTRIF is out of control given 3 months investment horizon. KTRIF has Sharpe Ratio of 0.14, which conveys that the firm had a 0.14 % return per unit of volatility over the last 3 months. We were able to collect and analyze data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 25.46% are justified by taking the suggested risk. Use KTRIF mean deviation of 470.54, and Risk Adjusted Performance of 0.1303 to evaluate company specific risk that cannot be diversified away. KTRIF holds a performance score of 11 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 95.0, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, KTRIF will likely underperform. Use KTRIF maximum drawdown and the relationship between the semi variance and price action indicator , to analyze future returns on KTRIF.
Auto-correlation
-0.31
Poor reverse predictability
KTRIF has poor reverse predictability. Overlapping area represents the amount of predictability between KTRIF time series from 3rd of December 2025 to 18th of December 2025 and 18th of December 2025 to 2nd 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 KTRIF price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current KTRIF price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.31
Spearman Rank Test
0.77
Residual Average
0.0
Price Variance
0.0
KTRIF lagged returns against current returns
Autocorrelation, which is KTRIF 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 KTRIF's pink sheet expected returns. We can calculate the autocorrelation of KTRIF returns to help us make a trade decision. For example, suppose you find that KTRIF 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
KTRIF 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 KTRIF pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KTRIF pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KTRIF pink sheet over time.
Current vs Lagged Prices
Timeline
KTRIF Lagged Returns
When evaluating KTRIF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KTRIF pink sheet have on its future price. KTRIF 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, KTRIF autocorrelation shows the relationship between KTRIF pink sheet current value and its past values and can show if there is a momentum factor associated with investing in KTRIF.