Ideal Power Stock Forecast - Double Exponential Smoothing
| IPWR Stock | USD 6.02 0.14 2.27% |
The Double Exponential Smoothing forecasted value of Ideal Power on the next trading day is expected to be 5.94 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 12.71. Ideal Stock Forecast is based on your current time horizon. Although Ideal Power's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Ideal Power's systematic risk associated with finding meaningful patterns of Ideal Power fundamentals over time.
Ideal |
Ideal Power Double Exponential Smoothing Price Forecast For the 30th of November
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Ideal Power on the next trading day is expected to be 5.94 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.09, and the sum of the absolute errors of 12.71.Please note that although there have been many attempts to predict Ideal Stock 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 Ideal Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ideal Power Stock Forecast Pattern
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Ideal Power Forecasted Value
In the context of forecasting Ideal Power'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. Ideal Power's downside and upside margins for the forecasting period are 2.09 and 9.80, respectively. We have considered Ideal Power'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Ideal Power stock data series using in forecasting. Note that when a statistical model is used to represent Ideal Power 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0333 |
| MAD | Mean absolute deviation | 0.2154 |
| MAPE | Mean absolute percentage error | 0.0295 |
| SAE | Sum of the absolute errors | 12.7109 |
Predictive Modules for Ideal Power
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ideal Power. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ideal Power's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Ideal Power
For every potential investor in Ideal, whether a beginner or expert, Ideal Power's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ideal Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ideal. Basic forecasting techniques help filter out the noise by identifying Ideal Power's price trends.Ideal Power 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 Ideal Power stock to make a market-neutral strategy. Peer analysis of Ideal Power could also be used in its relative valuation, which is a method of valuing Ideal Power by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ideal Power Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Ideal Power'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 Ideal Power's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ideal Power Market Strength Events
Market strength indicators help investors to evaluate how Ideal Power stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ideal Power shares will generate the highest return on investment. By undertsting and applying Ideal Power stock market strength indicators, traders can identify Ideal Power entry and exit signals to maximize returns.
Ideal Power Risk Indicators
The analysis of Ideal Power'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 Ideal Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ideal 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 | 2.62 | |||
| Standard Deviation | 3.83 | |||
| Variance | 14.65 |
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.
Additional Tools for Ideal Stock Analysis
When running Ideal Power's price analysis, check to measure Ideal Power'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 Ideal Power is operating at the current time. Most of Ideal Power's value examination focuses on studying past and present price action to predict the probability of Ideal Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ideal Power's price. Additionally, you may evaluate how the addition of Ideal Power to your portfolios can decrease your overall portfolio volatility.