Aruma Resources Stock Forecast - Simple Moving Average
| AAJ Stock | 0.01 0 7.14% |
The Simple Moving Average forecasted value of Aruma Resources on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0007 and the sum of the absolute errors of 0.04. Aruma Stock Forecast is based on your current time horizon.
Aruma |
Aruma Resources Simple Moving Average Price Forecast For the 1st of December
Given 90 days horizon, the Simple Moving Average forecasted value of Aruma Resources on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0007, mean absolute percentage error of 0.00000107, and the sum of the absolute errors of 0.04.Please note that although there have been many attempts to predict Aruma 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 Aruma Resources' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Aruma Resources Stock Forecast Pattern
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Aruma Resources Forecasted Value
In the context of forecasting Aruma Resources' 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. Aruma Resources' downside and upside margins for the forecasting period are 0.0001 and 10.70, respectively. We have considered Aruma Resources' 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 Aruma Resources stock data series using in forecasting. Note that when a statistical model is used to represent Aruma Resources 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 | 100.6868 |
| Bias | Arithmetic mean of the errors | 2.0E-4 |
| MAD | Mean absolute deviation | 7.0E-4 |
| MAPE | Mean absolute percentage error | 0.043 |
| SAE | Sum of the absolute errors | 0.0425 |
Predictive Modules for Aruma Resources
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aruma Resources. 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.Other Forecasting Options for Aruma Resources
For every potential investor in Aruma, whether a beginner or expert, Aruma Resources' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Aruma Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Aruma. Basic forecasting techniques help filter out the noise by identifying Aruma Resources' price trends.Aruma Resources 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 Aruma Resources stock to make a market-neutral strategy. Peer analysis of Aruma Resources could also be used in its relative valuation, which is a method of valuing Aruma Resources by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Aruma Resources 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 Aruma Resources' 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 Aruma Resources' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Aruma Resources Market Strength Events
Market strength indicators help investors to evaluate how Aruma Resources stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Aruma Resources shares will generate the highest return on investment. By undertsting and applying Aruma Resources stock market strength indicators, traders can identify Aruma Resources entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.07 | |||
| Day Median Price | 0.015 | |||
| Day Typical Price | 0.015 | |||
| Price Action Indicator | 5.0E-4 | |||
| Period Momentum Indicator | 0.001 | |||
| Relative Strength Index | 34.09 |
Aruma Resources Risk Indicators
The analysis of Aruma Resources' 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 Aruma Resources' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aruma 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 | 5.7 | |||
| Semi Deviation | 6.07 | |||
| Standard Deviation | 10.82 | |||
| Variance | 116.99 | |||
| Downside Variance | 92.3 | |||
| Semi Variance | 36.82 | |||
| Expected Short fall | (10.93) |
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.
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Additional Tools for Aruma Stock Analysis
When running Aruma Resources' price analysis, check to measure Aruma Resources' 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 Aruma Resources is operating at the current time. Most of Aruma Resources' value examination focuses on studying past and present price action to predict the probability of Aruma Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aruma Resources' price. Additionally, you may evaluate how the addition of Aruma Resources to your portfolios can decrease your overall portfolio volatility.