Exchange Income Stock Technical Analysis
| EIFZF Stock | USD 72.11 1.01 1.38% |
As of the 9th of February, Exchange Income shows the Downside Deviation of 1.54, mean deviation of 0.913, and Semi Deviation of 0.2803. Exchange Income 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. Please confirm Exchange Income standard deviation, as well as the relationship between the maximum drawdown and expected short fall to decide if Exchange Income is priced favorably, providing market reflects its regular price of 72.11 per share. Given that Exchange Income has jensen alpha of 0.4338, we urge you to verify Exchange Income's prevailing market performance to make sure the company can sustain itself at a future point.
Exchange Income Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Exchange, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ExchangeExchange |
Exchange Income '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 Exchange Income'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 Exchange Income.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in Exchange Income on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding Exchange Income or generate 0.0% return on investment in Exchange Income over 90 days. Exchange Income is related to or competes with Japan Airport, Tav Havalimanlari, Mitie Group, Tcnicas Reunidas, Mitie Group, Ipsos SA, and Secure Energy. Exchange Income Corporation engages in aerospace and aviation services and equipment, and manufacturing businesses world... More
Exchange Income 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 Exchange Income'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 Exchange Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.54 | |||
| Information Ratio | 0.2438 | |||
| Maximum Drawdown | 6.68 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 3.59 |
Exchange Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Exchange Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Exchange Income's standard deviation. In reality, there are many statistical measures that can use Exchange Income historical prices to predict the future Exchange Income's volatility.| Risk Adjusted Performance | 0.2527 | |||
| Jensen Alpha | 0.4338 | |||
| Total Risk Alpha | 0.2805 | |||
| Sortino Ratio | 0.2196 | |||
| Treynor Ratio | (2.03) |
Exchange Income February 9, 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 | 0.2527 | |||
| Market Risk Adjusted Performance | (2.02) | |||
| Mean Deviation | 0.913 | |||
| Semi Deviation | 0.2803 | |||
| Downside Deviation | 1.54 | |||
| Coefficient Of Variation | 324.18 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.92 | |||
| Information Ratio | 0.2438 | |||
| Jensen Alpha | 0.4338 | |||
| Total Risk Alpha | 0.2805 | |||
| Sortino Ratio | 0.2196 | |||
| Treynor Ratio | (2.03) | |||
| Maximum Drawdown | 6.68 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 3.59 | |||
| Downside Variance | 2.37 | |||
| Semi Variance | 0.0786 | |||
| Expected Short fall | (1.38) | |||
| Skewness | 1.22 | |||
| Kurtosis | 1.99 |
Exchange Income Backtested Returns
Exchange Income appears to be very steady, given 3 months investment horizon. Exchange Income secures Sharpe Ratio (or Efficiency) of 0.39, which denotes the company had a 0.39 % return per unit of standard deviation over the last 3 months. By reviewing Exchange Income's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please utilize Exchange Income's Semi Deviation of 0.2803, mean deviation of 0.913, and Downside Deviation of 1.54 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Exchange Income holds a performance score of 30. The firm shows a Beta (market volatility) of -0.21, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Exchange Income are expected to decrease at a much lower rate. During the bear market, Exchange Income is likely to outperform the market. Please check Exchange Income's standard deviation, expected short fall, period momentum indicator, as well as the relationship between the maximum drawdown and rate of daily change , to make a quick decision on whether Exchange Income's price patterns will revert.
Auto-correlation | 0.92 |
Excellent predictability
Exchange Income has excellent predictability. Overlapping area represents the amount of predictability between Exchange Income time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 Exchange Income price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Exchange Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.94 | |
| Residual Average | 0.0 | |
| Price Variance | 21.79 |
Exchange Income 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.
Exchange Income 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 Exchange Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Exchange Income 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 Exchange Income 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 Exchange Income based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Exchange Income price pattern first instead of the macroeconomic environment surrounding Exchange Income. By analyzing Exchange Income'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 Exchange Income'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 Exchange Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
Exchange Income February 9, 2026 Technical Indicators
Most technical analysis of Exchange 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 Exchange from various momentum indicators to cycle indicators. When you analyze Exchange 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 | 0.2527 | |||
| Market Risk Adjusted Performance | (2.02) | |||
| Mean Deviation | 0.913 | |||
| Semi Deviation | 0.2803 | |||
| Downside Deviation | 1.54 | |||
| Coefficient Of Variation | 324.18 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.92 | |||
| Information Ratio | 0.2438 | |||
| Jensen Alpha | 0.4338 | |||
| Total Risk Alpha | 0.2805 | |||
| Sortino Ratio | 0.2196 | |||
| Treynor Ratio | (2.03) | |||
| Maximum Drawdown | 6.68 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 3.59 | |||
| Downside Variance | 2.37 | |||
| Semi Variance | 0.0786 | |||
| Expected Short fall | (1.38) | |||
| Skewness | 1.22 | |||
| Kurtosis | 1.99 |
Exchange Income February 9, 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 Exchange 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 | (3.37) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 72.26 | ||
| Day Typical Price | 72.21 | ||
| Price Action Indicator | (0.66) | ||
| Market Facilitation Index | 0.30 |
Complementary Tools for Exchange Pink Sheet analysis
When running Exchange Income's price analysis, check to measure Exchange Income'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 Exchange Income is operating at the current time. Most of Exchange Income's value examination focuses on studying past and present price action to predict the probability of Exchange Income's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Exchange Income's price. Additionally, you may evaluate how the addition of Exchange Income to your portfolios can decrease your overall portfolio volatility.
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