AOYAMA TRADING Stock Forward View - Simple Moving Average
| 9B7 Stock | EUR 14.40 0.10 0.70% |
AOYAMA Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of AOYAMA TRADING's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 8th of February 2026 the value of rsi of AOYAMA TRADING's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth (0.18) | Quarterly Revenue Growth (0.02) |
Using AOYAMA TRADING hype-based prediction, you can estimate the value of AOYAMA TRADING from the perspective of AOYAMA TRADING response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of AOYAMA TRADING on the next trading day is expected to be 14.40 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 6.80. AOYAMA TRADING after-hype prediction price | EUR 14.38 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
AOYAMA |
AOYAMA TRADING Additional Predictive Modules
Most predictive techniques to examine AOYAMA price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for AOYAMA using various technical indicators. When you analyze AOYAMA charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
AOYAMA TRADING Simple Moving Average Price Forecast For the 9th of February
Given 90 days horizon, the Simple Moving Average forecasted value of AOYAMA TRADING on the next trading day is expected to be 14.40 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.80.Please note that although there have been many attempts to predict AOYAMA Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that AOYAMA TRADING's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
AOYAMA TRADING Stock Forecast Pattern
| Backtest AOYAMA TRADING | AOYAMA TRADING Price Prediction | Research Analysis |
AOYAMA TRADING Forecasted Value
In the context of forecasting AOYAMA TRADING's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. AOYAMA TRADING's downside and upside margins for the forecasting period are 13.28 and 15.53, respectively. We have considered AOYAMA TRADING's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of AOYAMA TRADING stock data series using in forecasting. Note that when a statistical model is used to represent AOYAMA TRADING stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 110.6647 |
| Bias | Arithmetic mean of the errors | -0.0458 |
| MAD | Mean absolute deviation | 0.1153 |
| MAPE | Mean absolute percentage error | 0.0085 |
| SAE | Sum of the absolute errors | 6.8 |
Predictive Modules for AOYAMA TRADING
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AOYAMA TRADING. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.AOYAMA TRADING After-Hype Price Density Analysis
As far as predicting the price of AOYAMA TRADING at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in AOYAMA TRADING or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of AOYAMA TRADING, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
AOYAMA TRADING Estimiated After-Hype Price Volatility
In the context of predicting AOYAMA TRADING's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on AOYAMA TRADING's historical news coverage. AOYAMA TRADING's after-hype downside and upside margins for the prediction period are 13.25 and 15.51, respectively. We have considered AOYAMA TRADING's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
AOYAMA TRADING is very steady at this time. Analysis and calculation of next after-hype price of AOYAMA TRADING is based on 3 months time horizon.
AOYAMA TRADING Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as AOYAMA TRADING is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading AOYAMA TRADING backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with AOYAMA TRADING, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.23 | 1.13 | 0.02 | 1.04 | 4 Events / Month | 2 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
14.40 | 14.38 | 0.14 |
|
AOYAMA TRADING Hype Timeline
AOYAMA TRADING is presently traded for 14.40on Frankfurt Exchange of Germany. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of -1.04. AOYAMA is estimated to decline in value after the next headline, with the price expected to drop to 14.38. The average volatility of media hype impact on the company price is over 100%. The price reduction on the next news is expected to be -0.14%, whereas the daily expected return is presently at 0.23%. The volatility of related hype on AOYAMA TRADING is about 24.98%, with the expected price after the next announcement by competition of 13.36. About 16.0% of the company shares are owned by insiders or employees . The company has Price-to-Book (P/B) ratio of 0.73. In the past many companies with similar price-to-book ratios have beat the market. AOYAMA TRADING last dividend was issued on the 30th of March 2026. The entity had 3:1 split on the 30th of March 2026. Assuming the 90 days horizon the next estimated press release will be in about 4 days. Check out Historical Fundamental Analysis of AOYAMA TRADING to cross-verify your projections.AOYAMA TRADING Related Hype Analysis
Having access to credible news sources related to AOYAMA TRADING's direct competition is more important than ever and may enhance your ability to predict AOYAMA TRADING's future price movements. Getting to know how AOYAMA TRADING's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how AOYAMA TRADING may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 9NPA | NIPPON PROLOGIS REIT | 0.00 | 4 per month | 0.00 | (0.13) | 2.10 | (2.09) | 142.58 | |
| 0S2 | UNITED URBAN INV | (10.00) | 7 per month | 0.00 | (0.13) | 1.53 | (2.05) | 134.00 | |
| K9R | KENEDIX OFFICE INV | (45.00) | 2 per month | 0.00 | (0.14) | 1.12 | (1.59) | 9.18 | |
| 2ES | Industrial Infrastructure | 0.00 | 6 per month | 0.00 | (0.13) | 1.23 | (1.78) | 125.15 | |
| 7ZY | ACTIVIA PROPERTINC REIT | 0.00 | 0 per month | 0.00 | (0.13) | 1.28 | (1.88) | 138.04 | |
| JUA | Japan Real Estate | (10.00) | 5 per month | 0.00 | (0.16) | 1.46 | (1.44) | 4.26 | |
| S4C | Nippon Building | 10.00 | 3 per month | 1.34 | (0.04) | 2.46 | (2.48) | 6.31 | |
| O2F | ORIX JREIT INC | 0.00 | 4 per month | 0.00 | (0.08) | 0.93 | (2.61) | 17.02 | |
| 8UT | JAPAN LOGISTICS FUND | 9.77 | 2 per month | 0.00 | (0.13) | 0.92 | (0.91) | 134.31 | |
| 58JA | JAPAN PRIME REALTY | 0.00 | 6 per month | 0.00 | (0.07) | 2.70 | (1.77) | 15.36 |
Other Forecasting Options for AOYAMA TRADING
For every potential investor in AOYAMA, whether a beginner or expert, AOYAMA TRADING's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AOYAMA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AOYAMA. Basic forecasting techniques help filter out the noise by identifying AOYAMA TRADING's price trends.AOYAMA TRADING Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with AOYAMA TRADING stock to make a market-neutral strategy. Peer analysis of AOYAMA TRADING could also be used in its relative valuation, which is a method of valuing AOYAMA TRADING by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
AOYAMA TRADING Market Strength Events
Market strength indicators help investors to evaluate how AOYAMA TRADING stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AOYAMA TRADING shares will generate the highest return on investment. By undertsting and applying AOYAMA TRADING stock market strength indicators, traders can identify AOYAMA TRADING entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 14.4 | |||
| Day Typical Price | 14.4 | |||
| Price Action Indicator | 0.05 | |||
| Period Momentum Indicator | 0.1 |
AOYAMA TRADING Risk Indicators
The analysis of AOYAMA TRADING's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in AOYAMA TRADING's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aoyama stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.8998 | |||
| Semi Deviation | 0.7362 | |||
| Standard Deviation | 1.13 | |||
| Variance | 1.28 | |||
| Downside Variance | 1.31 | |||
| Semi Variance | 0.542 | |||
| Expected Short fall | (1.26) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for AOYAMA TRADING
The number of cover stories for AOYAMA TRADING depends on current market conditions and AOYAMA TRADING's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that AOYAMA TRADING is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about AOYAMA TRADING's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Other Information on Investing in AOYAMA Stock
AOYAMA TRADING financial ratios help investors to determine whether AOYAMA Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in AOYAMA with respect to the benefits of owning AOYAMA TRADING security.