Columbia Adaptive Risk Fund Technical Analysis
| CRAAX Fund | USD 10.93 0.06 0.55% |
As of the 27th of January, Columbia Adaptive shows the Downside Deviation of 0.4939, risk adjusted performance of 0.0956, and Mean Deviation of 0.3308. Columbia Adaptive Risk technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Columbia Adaptive Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Columbia, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ColumbiaColumbia |
Columbia Adaptive '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 Columbia Adaptive's mutual fund 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 Columbia Adaptive.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Columbia Adaptive on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Columbia Adaptive Risk or generate 0.0% return on investment in Columbia Adaptive over 90 days. Columbia Adaptive is related to or competes with Spectrum Fund, Sit Dividend, Boston Trust, Sit Dividend, Ashmore Emerging, Ashmore Emerging, and Summit Global. Under normal circumstances, the fund pursues its investment objective by allocating portfolio risk across multiple asset... More
Columbia Adaptive 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 Columbia Adaptive's mutual fund 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 Columbia Adaptive Risk upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4939 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 2.14 | |||
| Value At Risk | (0.66) | |||
| Potential Upside | 0.6757 |
Columbia Adaptive Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Columbia Adaptive's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Columbia Adaptive's standard deviation. In reality, there are many statistical measures that can use Columbia Adaptive historical prices to predict the future Columbia Adaptive's volatility.| Risk Adjusted Performance | 0.0956 | |||
| Jensen Alpha | 0.0431 | |||
| Total Risk Alpha | 0.0096 | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.4837 |
Columbia Adaptive January 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0956 | |||
| Market Risk Adjusted Performance | 0.4937 | |||
| Mean Deviation | 0.3308 | |||
| Semi Deviation | 0.3811 | |||
| Downside Deviation | 0.4939 | |||
| Coefficient Of Variation | 717.05 | |||
| Standard Deviation | 0.4324 | |||
| Variance | 0.187 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | 0.0431 | |||
| Total Risk Alpha | 0.0096 | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.4837 | |||
| Maximum Drawdown | 2.14 | |||
| Value At Risk | (0.66) | |||
| Potential Upside | 0.6757 | |||
| Downside Variance | 0.2439 | |||
| Semi Variance | 0.1452 | |||
| Expected Short fall | (0.35) | |||
| Skewness | (0.48) | |||
| Kurtosis | 0.6625 |
Columbia Adaptive Risk Backtested Returns
At this stage we consider Columbia Mutual Fund to be very steady. Columbia Adaptive Risk secures Sharpe Ratio (or Efficiency) of 0.12, which signifies that the fund had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Columbia Adaptive Risk, which you can use to evaluate the volatility of the entity. Please confirm Columbia Adaptive's Risk Adjusted Performance of 0.0956, downside deviation of 0.4939, and Mean Deviation of 0.3308 to double-check if the risk estimate we provide is consistent with the expected return of 0.0521%. The fund shows a Beta (market volatility) of 0.1, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Columbia Adaptive's returns are expected to increase less than the market. However, during the bear market, the loss of holding Columbia Adaptive is expected to be smaller as well.
Auto-correlation | -0.01 |
Very weak reverse predictability
Columbia Adaptive Risk has very weak reverse predictability. Overlapping area represents the amount of predictability between Columbia Adaptive time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th 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 Columbia Adaptive Risk price movement. The serial correlation of -0.01 indicates that just 1.0% of current Columbia Adaptive price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Columbia Adaptive technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Columbia Adaptive Risk Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Columbia Adaptive Risk volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Columbia Adaptive Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Columbia Adaptive Risk on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Columbia Adaptive Risk based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Columbia Adaptive Risk price pattern first instead of the macroeconomic environment surrounding Columbia Adaptive Risk. By analyzing Columbia Adaptive's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Columbia Adaptive's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Columbia Adaptive specific price patterns or momentum indicators. Please read more on our technical analysis page.
Columbia Adaptive January 27, 2026 Technical Indicators
Most technical analysis of Columbia help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Columbia from various momentum indicators to cycle indicators. When you analyze Columbia charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0956 | |||
| Market Risk Adjusted Performance | 0.4937 | |||
| Mean Deviation | 0.3308 | |||
| Semi Deviation | 0.3811 | |||
| Downside Deviation | 0.4939 | |||
| Coefficient Of Variation | 717.05 | |||
| Standard Deviation | 0.4324 | |||
| Variance | 0.187 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | 0.0431 | |||
| Total Risk Alpha | 0.0096 | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.4837 | |||
| Maximum Drawdown | 2.14 | |||
| Value At Risk | (0.66) | |||
| Potential Upside | 0.6757 | |||
| Downside Variance | 0.2439 | |||
| Semi Variance | 0.1452 | |||
| Expected Short fall | (0.35) | |||
| Skewness | (0.48) | |||
| Kurtosis | 0.6625 |
Columbia Adaptive January 27, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Columbia stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 10.93 | ||
| Day Typical Price | 10.93 | ||
| Price Action Indicator | 0.03 |
Other Information on Investing in Columbia Mutual Fund
Columbia Adaptive financial ratios help investors to determine whether Columbia Mutual 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 Columbia with respect to the benefits of owning Columbia Adaptive security.
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