Afi Properties (Israel) Technical Analysis
| AFPR Stock | ILS 26,030 70.00 0.27% |
As of the 17th of February 2026, Afi Properties shows the Risk Adjusted Performance of 0.1472, mean deviation of 1.18, and Downside Deviation of 1.17. Afi Properties 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.
Afi Properties Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Afi, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AfiAfi |
Afi Properties '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 Afi Properties' 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 Afi Properties.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Afi Properties on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Afi Properties or generate 0.0% return on investment in Afi Properties over 90 days. Afi Properties is related to or competes with Mega Or, Aura Investments, Alony Hetz, GavYam Lands, Ashtrom, Mivne Real, and Summit. Africa Israel Properties Ltd. engages in the initiation, establishment, preparation, and operation of industrial buildin... More
Afi Properties 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 Afi Properties' 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 Afi Properties upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.17 | |||
| Information Ratio | 0.13 | |||
| Maximum Drawdown | 6.61 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 2.96 |
Afi Properties Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Afi Properties' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Afi Properties' standard deviation. In reality, there are many statistical measures that can use Afi Properties historical prices to predict the future Afi Properties' volatility.| Risk Adjusted Performance | 0.1472 | |||
| Jensen Alpha | 0.2516 | |||
| Total Risk Alpha | 0.1435 | |||
| Sortino Ratio | 0.1658 | |||
| Treynor Ratio | 4.83 |
Afi Properties 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 | 0.1472 | |||
| Market Risk Adjusted Performance | 4.84 | |||
| Mean Deviation | 1.18 | |||
| Semi Deviation | 0.9786 | |||
| Downside Deviation | 1.17 | |||
| Coefficient Of Variation | 566.01 | |||
| Standard Deviation | 1.5 | |||
| Variance | 2.25 | |||
| Information Ratio | 0.13 | |||
| Jensen Alpha | 0.2516 | |||
| Total Risk Alpha | 0.1435 | |||
| Sortino Ratio | 0.1658 | |||
| Treynor Ratio | 4.83 | |||
| Maximum Drawdown | 6.61 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 2.96 | |||
| Downside Variance | 1.38 | |||
| Semi Variance | 0.9577 | |||
| Expected Short fall | (1.47) | |||
| Skewness | 0.4625 | |||
| Kurtosis | (0.04) |
Afi Properties Backtested Returns
Afi Properties appears to be very steady, given 3 months investment horizon. Afi Properties secures Sharpe Ratio (or Efficiency) of 0.25, which signifies that the company had a 0.25 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Afi Properties, which you can use to evaluate the volatility of the firm. Please makes use of Afi Properties' Mean Deviation of 1.18, downside deviation of 1.17, and Risk Adjusted Performance of 0.1472 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Afi Properties holds a performance score of 20. The firm shows a Beta (market volatility) of 0.0528, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Afi Properties' returns are expected to increase less than the market. However, during the bear market, the loss of holding Afi Properties is expected to be smaller as well. Please check Afi Properties' downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Afi Properties' price patterns will revert.
Auto-correlation | 0.20 |
Weak predictability
Afi Properties has weak predictability. Overlapping area represents the amount of predictability between Afi Properties 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 Afi Properties price movement. The serial correlation of 0.2 indicates that over 20.0% of current Afi Properties price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 115.6 K |
Afi Properties 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.
Afi Properties 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 Afi Properties volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Afi Properties 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 Afi Properties 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 Afi Properties based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Afi Properties price pattern first instead of the macroeconomic environment surrounding Afi Properties. By analyzing Afi Properties'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 Afi Properties'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 Afi Properties specific price patterns or momentum indicators. Please read more on our technical analysis page.
Afi Properties February 17, 2026 Technical Indicators
Most technical analysis of Afi 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 Afi from various momentum indicators to cycle indicators. When you analyze Afi 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 | 0.1472 | |||
| Market Risk Adjusted Performance | 4.84 | |||
| Mean Deviation | 1.18 | |||
| Semi Deviation | 0.9786 | |||
| Downside Deviation | 1.17 | |||
| Coefficient Of Variation | 566.01 | |||
| Standard Deviation | 1.5 | |||
| Variance | 2.25 | |||
| Information Ratio | 0.13 | |||
| Jensen Alpha | 0.2516 | |||
| Total Risk Alpha | 0.1435 | |||
| Sortino Ratio | 0.1658 | |||
| Treynor Ratio | 4.83 | |||
| Maximum Drawdown | 6.61 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 2.96 | |||
| Downside Variance | 1.38 | |||
| Semi Variance | 0.9577 | |||
| Expected Short fall | (1.47) | |||
| Skewness | 0.4625 | |||
| Kurtosis | (0.04) |
Afi Properties 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 Afi 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 | 1,030 | ||
| Daily Balance Of Power | (0.06) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 26,315 | ||
| Day Typical Price | 26,220 | ||
| Price Action Indicator | (320.00) | ||
| Market Facilitation Index | 0.05 |
Complementary Tools for Afi Stock analysis
When running Afi Properties' price analysis, check to measure Afi Properties' 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 Afi Properties is operating at the current time. Most of Afi Properties' value examination focuses on studying past and present price action to predict the probability of Afi Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Afi Properties' price. Additionally, you may evaluate how the addition of Afi Properties to your portfolios can decrease your overall portfolio volatility.
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