Check Point (Brazil) Technical Analysis
| C1HK34 Stock | 426.50 53.50 11.15% |
Check Point Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Check, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CheckCheck |
Check Point '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 Check Point's stock 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 Check Point.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Check Point on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Check Point Software or generate 0.0% return on investment in Check Point over 90 days.
Check Point 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 Check Point's stock 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 Check Point Software upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 14.15 | |||
| Value At Risk | (0.09) |
Check Point Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Check Point's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Check Point's standard deviation. In reality, there are many statistical measures that can use Check Point historical prices to predict the future Check Point's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (14.09) |
Check Point February 17, 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 | (0.13) | |||
| Market Risk Adjusted Performance | (14.08) | |||
| Mean Deviation | 0.6317 | |||
| Coefficient Of Variation | (603.12) | |||
| Standard Deviation | 1.71 | |||
| Variance | 2.92 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (14.09) | |||
| Maximum Drawdown | 14.15 | |||
| Value At Risk | (0.09) | |||
| Skewness | (5.04) | |||
| Kurtosis | 28.97 |
Check Point Software Backtested Returns
Check Point Software secures Sharpe Ratio (or Efficiency) of -0.18, which signifies that the company had a -0.18 % return per unit of standard deviation over the last 3 months. Check Point Software exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Check Point's mean deviation of 0.6317, and Risk Adjusted Performance of (0.13) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0208, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Check Point's returns are expected to increase less than the market. However, during the bear market, the loss of holding Check Point is expected to be smaller as well. At this point, Check Point Software has a negative expected return of -0.32%. Please make sure to confirm Check Point's mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance , to decide if Check Point Software performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.45 |
Average predictability
Check Point Software has average predictability. Overlapping area represents the amount of predictability between Check Point time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Check Point Software price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Check Point price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 312.2 |
Check Point technical stock 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, stock market cycles, or different charting patterns.
Check Point Software Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Check Point Software volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Check Point February 17, 2026 Technical Indicators
Most technical analysis of Check 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 Check from various momentum indicators to cycle indicators. When you analyze Check 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 | (0.13) | |||
| Market Risk Adjusted Performance | (14.08) | |||
| Mean Deviation | 0.6317 | |||
| Coefficient Of Variation | (603.12) | |||
| Standard Deviation | 1.71 | |||
| Variance | 2.92 | |||
| Information Ratio | (0.21) | |||
| Jensen Alpha | (0.29) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (14.09) | |||
| Maximum Drawdown | 14.15 | |||
| Value At Risk | (0.09) | |||
| Skewness | (5.04) | |||
| Kurtosis | 28.97 |
Check Point February 17, 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 Check 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 | 0.89 | ||
| Day Median Price | 426.50 | ||
| Day Typical Price | 426.50 | ||
| Price Action Indicator | (26.75) |
Complementary Tools for Check Stock analysis
When running Check Point's price analysis, check to measure Check Point'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 Check Point is operating at the current time. Most of Check Point's value examination focuses on studying past and present price action to predict the probability of Check Point's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Check Point's price. Additionally, you may evaluate how the addition of Check Point to your portfolios can decrease your overall portfolio volatility.
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