Cref Growth is trading at 620.47 as of the 29th of January 2026; that is 0.01% down since the beginning of the trading day. The fund's open price was 620.56. Cref Growth has 50 percent odds of going through some form of financial distress in the next two years and has generated negative returns to investors over the last 90 days. The performance scores are derived for the period starting the 31st of October 2025 and ending today, the 29th of January 2026. Click here to learn more.
Cref Growth Account [QCGRIX] is traded in USA and was established 29th of January 2026. The fund is listed under null category and is part of null family.
Check Cref Growth Probability Of Bankruptcy
The output start index for this execution was zero with a total number of output elements of sixty-one. Cref Growth Account Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Cref Growth price patterns.
It is possible that Cref Growth Account fund was delisted, renamed or otherwise removed from the exchange.
Cref Growth Account Investment Alerts
Cref Growth Account generated a negative expected return over the last 90 days
Cref Growth Predictive Daily Indicators
Cref Growth intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Cref Growth fund daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Cref Growth's time-series forecasting models are one of many Cref Growth's fund analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Cref Growth's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.
Cref Growth financial ratios help investors to determine whether Cref Fund 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 Cref with respect to the benefits of owning Cref Growth security.