KAQI (Indonesia) Technical Analysis
| KAQI Stock | 105.00 27.00 34.62% |
KAQI Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as KAQI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KAQIKAQI |
KAQI '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 KAQI'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 KAQI.
| 11/28/2025 |
| 02/26/2026 |
If you would invest 0.00 in KAQI on November 28, 2025 and sell it all today you would earn a total of 0.00 from holding KAQI or generate 0.0% return on investment in KAQI over 90 days.
KAQI 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 KAQI'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 KAQI upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.44 | |||
| Information Ratio | 0.1246 | |||
| Maximum Drawdown | 21.64 | |||
| Value At Risk | (4.29) | |||
| Potential Upside | 8.22 |
KAQI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KAQI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KAQI's standard deviation. In reality, there are many statistical measures that can use KAQI historical prices to predict the future KAQI's volatility.| Risk Adjusted Performance | 0.12 | |||
| Jensen Alpha | 0.7433 | |||
| Total Risk Alpha | 0.078 | |||
| Sortino Ratio | 0.1984 | |||
| Treynor Ratio | 2.05 |
KAQI February 26, 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 | 0.12 | |||
| Market Risk Adjusted Performance | 2.06 | |||
| Mean Deviation | 2.96 | |||
| Semi Deviation | 2.38 | |||
| Downside Deviation | 3.44 | |||
| Coefficient Of Variation | 691.81 | |||
| Standard Deviation | 5.47 | |||
| Variance | 29.94 | |||
| Information Ratio | 0.1246 | |||
| Jensen Alpha | 0.7433 | |||
| Total Risk Alpha | 0.078 | |||
| Sortino Ratio | 0.1984 | |||
| Treynor Ratio | 2.05 | |||
| Maximum Drawdown | 21.64 | |||
| Value At Risk | (4.29) | |||
| Potential Upside | 8.22 | |||
| Downside Variance | 11.81 | |||
| Semi Variance | 5.66 | |||
| Expected Short fall | (5.04) | |||
| Skewness | 3.84 | |||
| Kurtosis | 22.49 |
KAQI Backtested Returns
KAQI appears to be very steady, given 3 months investment horizon. KAQI has Sharpe Ratio of 0.14, which conveys that the company had a 0.14 % return per unit of volatility over the last 3 months. By evaluating KAQI's technical indicators, you can evaluate if the expected return of 0.81% is justified by implied risk. Please exercise KAQI's Market Risk Adjusted Performance of 2.06, mean deviation of 2.96, and Downside Deviation of 3.44 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, KAQI holds a performance score of 11. The firm secures a Beta (Market Risk) of 0.38, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, KAQI's returns are expected to increase less than the market. However, during the bear market, the loss of holding KAQI is expected to be smaller as well. Please check KAQI's total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether KAQI's current price movements will revert.
Auto-correlation | -0.52 |
Good reverse predictability
KAQI has good reverse predictability. Overlapping area represents the amount of predictability between KAQI time series from 28th of November 2025 to 12th of January 2026 and 12th of January 2026 to 26th 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 KAQI price movement. The serial correlation of -0.52 indicates that about 52.0% of current KAQI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 57.09 |
KAQI 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.
KAQI Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for KAQI across different markets.
KAQI February 26, 2026 Technical Indicators
Most technical analysis of KAQI 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 KAQI from various momentum indicators to cycle indicators. When you analyze KAQI 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 | 0.12 | |||
| Market Risk Adjusted Performance | 2.06 | |||
| Mean Deviation | 2.96 | |||
| Semi Deviation | 2.38 | |||
| Downside Deviation | 3.44 | |||
| Coefficient Of Variation | 691.81 | |||
| Standard Deviation | 5.47 | |||
| Variance | 29.94 | |||
| Information Ratio | 0.1246 | |||
| Jensen Alpha | 0.7433 | |||
| Total Risk Alpha | 0.078 | |||
| Sortino Ratio | 0.1984 | |||
| Treynor Ratio | 2.05 | |||
| Maximum Drawdown | 21.64 | |||
| Value At Risk | (4.29) | |||
| Potential Upside | 8.22 | |||
| Downside Variance | 11.81 | |||
| Semi Variance | 5.66 | |||
| Expected Short fall | (5.04) | |||
| Skewness | 3.84 | |||
| Kurtosis | 22.49 |
KAQI February 26, 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 KAQI 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 | 386,242,149 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.35 | ||
| Day Median Price | 91.50 | ||
| Day Typical Price | 96.00 | ||
| Price Action Indicator | 27.00 |