Fantasy Network (Israel) Technical Analysis
| FNTS Stock | ILS 209.70 13.40 6.01% |
As of the 7th of February, Fantasy Network shows the Downside Deviation of 6.51, coefficient of variation of 1645.0, and Mean Deviation of 4.78. Fantasy Network technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Fantasy Network Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Fantasy, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FantasyFantasy |
Fantasy Network '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 Fantasy Network'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 Fantasy Network.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Fantasy Network on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Fantasy Network or generate 0.0% return on investment in Fantasy Network over 90 days. Fantasy Network is related to or competes with Arad Investment, Computer Direct, Allot Communications, Automatic Bank, Israel Discount, IDI Insurance, and Libra Insurance. Fantasy Network Ltd provides a white label platform of online games for iGaming and Media companies More
Fantasy Network 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 Fantasy Network'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 Fantasy Network upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.51 | |||
| Information Ratio | 0.0466 | |||
| Maximum Drawdown | 30.71 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 13.33 |
Fantasy Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fantasy Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fantasy Network's standard deviation. In reality, there are many statistical measures that can use Fantasy Network historical prices to predict the future Fantasy Network's volatility.| Risk Adjusted Performance | 0.0577 | |||
| Jensen Alpha | 0.3656 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | 0.0453 | |||
| Treynor Ratio | 3.33 |
Fantasy Network February 7, 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 | 0.0577 | |||
| Market Risk Adjusted Performance | 3.34 | |||
| Mean Deviation | 4.78 | |||
| Semi Deviation | 5.95 | |||
| Downside Deviation | 6.51 | |||
| Coefficient Of Variation | 1645.0 | |||
| Standard Deviation | 6.33 | |||
| Variance | 40.02 | |||
| Information Ratio | 0.0466 | |||
| Jensen Alpha | 0.3656 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | 0.0453 | |||
| Treynor Ratio | 3.33 | |||
| Maximum Drawdown | 30.71 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 13.33 | |||
| Downside Variance | 42.37 | |||
| Semi Variance | 35.45 | |||
| Expected Short fall | (4.82) | |||
| Skewness | 0.1066 | |||
| Kurtosis | 0.3526 |
Fantasy Network Backtested Returns
Fantasy Network appears to be very steady, given 3 months investment horizon. Fantasy Network secures Sharpe Ratio (or Efficiency) of 0.0602, which denotes the company had a 0.0602 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fantasy Network, which you can use to evaluate the volatility of the firm. Please utilize Fantasy Network's Coefficient Of Variation of 1645.0, mean deviation of 4.78, and Downside Deviation of 6.51 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Fantasy Network holds a performance score of 4. The firm shows a Beta (market volatility) of 0.11, which means not very significant fluctuations relative to the market. As returns on the market increase, Fantasy Network's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fantasy Network is expected to be smaller as well. Please check Fantasy Network's standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Fantasy Network's price patterns will revert.
Auto-correlation | 0.50 |
Modest predictability
Fantasy Network has modest predictability. Overlapping area represents the amount of predictability between Fantasy Network time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 Fantasy Network price movement. The serial correlation of 0.5 indicates that about 50.0% of current Fantasy Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 1336.5 |
Fantasy Network 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.
Fantasy Network Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Fantasy Network volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Fantasy Network 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 Fantasy Network 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 Fantasy Network based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Fantasy Network price pattern first instead of the macroeconomic environment surrounding Fantasy Network. By analyzing Fantasy Network'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 Fantasy Network'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 Fantasy Network specific price patterns or momentum indicators. Please read more on our technical analysis page.
Fantasy Network February 7, 2026 Technical Indicators
Most technical analysis of Fantasy 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 Fantasy from various momentum indicators to cycle indicators. When you analyze Fantasy 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 | 0.0577 | |||
| Market Risk Adjusted Performance | 3.34 | |||
| Mean Deviation | 4.78 | |||
| Semi Deviation | 5.95 | |||
| Downside Deviation | 6.51 | |||
| Coefficient Of Variation | 1645.0 | |||
| Standard Deviation | 6.33 | |||
| Variance | 40.02 | |||
| Information Ratio | 0.0466 | |||
| Jensen Alpha | 0.3656 | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | 0.0453 | |||
| Treynor Ratio | 3.33 | |||
| Maximum Drawdown | 30.71 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 13.33 | |||
| Downside Variance | 42.37 | |||
| Semi Variance | 35.45 | |||
| Expected Short fall | (4.82) | |||
| Skewness | 0.1066 | |||
| Kurtosis | 0.3526 |
Fantasy Network February 7, 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 Fantasy 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 | (44.67) | ||
| Rate Of Daily Change | 0.94 | ||
| Day Median Price | 209.85 | ||
| Day Typical Price | 209.80 | ||
| Price Action Indicator | (6.85) | ||
| Market Facilitation Index | 0.30 |
Complementary Tools for Fantasy Stock analysis
When running Fantasy Network's price analysis, check to measure Fantasy Network'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 Fantasy Network is operating at the current time. Most of Fantasy Network's value examination focuses on studying past and present price action to predict the probability of Fantasy Network's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fantasy Network's price. Additionally, you may evaluate how the addition of Fantasy Network to your portfolios can decrease your overall portfolio volatility.
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