Alstom SA Pink Sheet Forecast - 20 Period Moving Average
| AOMFF Stock | USD 21.97 0.23 1.04% |
The 20 Period Moving Average forecasted value of Alstom SA on the next trading day is expected to be 21.78 with a mean absolute deviation of 0.63 and the sum of the absolute errors of 25.94. Alstom Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Alstom SA's historical fundamentals, such as revenue growth or operating cash flow patterns.
Alstom |
Alstom SA 20 Period Moving Average Price Forecast For the 5th of December
Given 90 days horizon, the 20 Period Moving Average forecasted value of Alstom SA on the next trading day is expected to be 21.78 with a mean absolute deviation of 0.63, mean absolute percentage error of 0.82, and the sum of the absolute errors of 25.94.Please note that although there have been many attempts to predict Alstom Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Alstom SA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Alstom SA Pink Sheet Forecast Pattern
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Alstom SA Forecasted Value
In the context of forecasting Alstom SA's Pink Sheet 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. Alstom SA's downside and upside margins for the forecasting period are 19.29 and 24.26, respectively. We have considered Alstom SA'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Alstom SA pink sheet data series using in forecasting. Note that when a statistical model is used to represent Alstom SA pink sheet, 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 | 81.1565 |
| Bias | Arithmetic mean of the errors | -0.5249 |
| MAD | Mean absolute deviation | 0.6328 |
| MAPE | Mean absolute percentage error | 0.029 |
| SAE | Sum of the absolute errors | 25.9435 |
Predictive Modules for Alstom SA
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Alstom SA. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.Other Forecasting Options for Alstom SA
For every potential investor in Alstom, whether a beginner or expert, Alstom SA's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Alstom Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Alstom. Basic forecasting techniques help filter out the noise by identifying Alstom SA's price trends.Alstom SA 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 Alstom SA pink sheet to make a market-neutral strategy. Peer analysis of Alstom SA could also be used in its relative valuation, which is a method of valuing Alstom SA by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Alstom SA Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Alstom SA's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Alstom SA's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Alstom SA Market Strength Events
Market strength indicators help investors to evaluate how Alstom SA pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Alstom SA shares will generate the highest return on investment. By undertsting and applying Alstom SA pink sheet market strength indicators, traders can identify Alstom SA entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 21.97 | |||
| Day Typical Price | 21.97 | |||
| Price Action Indicator | (0.12) | |||
| Period Momentum Indicator | (0.23) | |||
| Relative Strength Index | 68.18 |
Alstom SA Risk Indicators
The analysis of Alstom SA'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 Alstom SA's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting alstom pink sheet 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 | 1.4 | |||
| Semi Deviation | 1.69 | |||
| Standard Deviation | 2.62 | |||
| Variance | 6.85 | |||
| Downside Variance | 13.5 | |||
| Semi Variance | 2.87 | |||
| Expected Short fall | (4.03) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in Alstom Pink Sheet
Alstom SA financial ratios help investors to determine whether Alstom Pink Sheet 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 Alstom with respect to the benefits of owning Alstom SA security.