Colabor Group Stock Technical Analysis
| COLFF Stock | USD 0.03 0.00 0.00% |
As of the 15th of February 2026, Colabor shows the Standard Deviation of 12.9, risk adjusted performance of (0.04), and Mean Deviation of 4.44. Colabor Group 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 firm's future prices. Please confirm Colabor Group standard deviation, treynor ratio, as well as the relationship between the Treynor Ratio and potential upside to decide if Colabor Group is priced correctly, providing market reflects its regular price of 0.03 per share. As Colabor Group appears to be a penny stock we also recommend to validate its jensen alpha numbers.
Colabor Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Colabor, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ColaborColabor |
Colabor '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 Colabor'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 Colabor.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Colabor on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Colabor Group or generate 0.0% return on investment in Colabor over 90 days. Colabor is related to or competes with UMeWorld, Charlies Holdings, Zhong Yuan, and Organto Foods. Colabor Group Inc., together with its subsidiaries, markets and distributes food and food-related products in Canada More
Colabor 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 Colabor'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 Colabor Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 87.41 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 10.0 |
Colabor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Colabor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Colabor's standard deviation. In reality, there are many statistical measures that can use Colabor historical prices to predict the future Colabor's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.93) | |||
| Total Risk Alpha | (1.82) | |||
| Treynor Ratio | (0.69) |
Colabor February 15, 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.68) | |||
| Mean Deviation | 4.44 | |||
| Coefficient Of Variation | (1,521) | |||
| Standard Deviation | 12.9 | |||
| Variance | 166.52 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.93) | |||
| Total Risk Alpha | (1.82) | |||
| Treynor Ratio | (0.69) | |||
| Maximum Drawdown | 87.41 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 10.0 | |||
| Skewness | (2.20) | |||
| Kurtosis | 17.96 |
Colabor Group Backtested Returns
Colabor Group secures Sharpe Ratio (or Efficiency) of -0.0807, which signifies that the company had a -0.0807 % return per unit of risk over the last 3 months. Colabor Group exposes eighteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Colabor's Risk Adjusted Performance of (0.04), mean deviation of 4.44, and Standard Deviation of 12.9 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.24, which signifies 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, Colabor will likely underperform. At this point, Colabor Group has a negative expected return of -1.06%. Please make sure to confirm Colabor's jensen alpha, as well as the relationship between the potential upside and rate of daily change , to decide if Colabor Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.00 |
No correlation between past and present
Colabor Group has no correlation between past and present. Overlapping area represents the amount of predictability between Colabor time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 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 Colabor Group price movement. The serial correlation of 0.0 indicates that just 0.0% of current Colabor price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Colabor technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Colabor Group Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Colabor Group across different markets.
About Colabor 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 Colabor Group 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 Colabor Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Colabor Group price pattern first instead of the macroeconomic environment surrounding Colabor Group. By analyzing Colabor'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 Colabor'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 Colabor specific price patterns or momentum indicators. Please read more on our technical analysis page.
Colabor February 15, 2026 Technical Indicators
Most technical analysis of Colabor 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 Colabor from various momentum indicators to cycle indicators. When you analyze Colabor 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.68) | |||
| Mean Deviation | 4.44 | |||
| Coefficient Of Variation | (1,521) | |||
| Standard Deviation | 12.9 | |||
| Variance | 166.52 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.93) | |||
| Total Risk Alpha | (1.82) | |||
| Treynor Ratio | (0.69) | |||
| Maximum Drawdown | 87.41 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 10.0 | |||
| Skewness | (2.20) | |||
| Kurtosis | 17.96 |
Colabor February 15, 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 Colabor 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.03 | ||
| Day Typical Price | 0.03 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Colabor Pink Sheet analysis
When running Colabor's price analysis, check to measure Colabor's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Colabor is operating at the current time. Most of Colabor's value examination focuses on studying past and present price action to predict the probability of Colabor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Colabor's price. Additionally, you may evaluate how the addition of Colabor to your portfolios can decrease your overall portfolio volatility.
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