Central Asia Stock Forward View - Simple Moving Average
| CAML Stock | 157.60 -6.40 -3.90% |
The Simple Moving Average forecast shown here for Central Asia is reference data produced from its historical price series. The projected value and error measures below serve as reference information.
The Simple Moving Average forecasted value of Central Asia Metals on the next trading day is expected to be 160.80 with a mean absolute deviation of 5.79 and the sum of the absolute errors of 341.70.The simple moving average model is conceptually a linear regression of the current value of Central Asia Metals price series against current and previous (unobserved) value of Central Asia. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future This Simple Moving Average reference page for Central Asia presents model-generated projections from historical price data for informational purposes. Simple Moving Average Price Forecast For the 27th of March
Given 90 days horizon, the Simple Moving Average forecasted value of Central Asia Metals on the next trading day is expected to be 160.80 with a mean absolute deviation of 5.79 , mean absolute percentage error of 98.48 , and the sum of the absolute errors of 341.70 .Please note that although there have been many attempts to predict Central 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 Central Asia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Central Asia | Central Asia Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Central Asia Metals focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
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 Central Asia stock data series using in forecasting. Note that when a statistical model is used to represent Central Asia 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 | 119.0246 |
| Bias | Arithmetic mean of the errors | 0.6814 |
| MAD | Mean absolute deviation | 5.7915 |
| MAPE | Mean absolute percentage error | 0.0298 |
| SAE | Sum of the absolute errors | 341.7 |
Other Forecasting Options for Central Asia
The distribution of Central Asia's daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in Central Asia's chart that simple price charts miss.Central Asia Related Equities
These stocks are related to Central Asia within the Materials space and can be used for peer review, pricing, or spreading risk. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across Central Asia's peer group. A stock that beats its peers on many metrics often deserves a closer look from value-focused investors. The peer review below gives a clear framework for judging Central Asia's standing among rivals.
| Risk & Return | Correlation |
Central Asia Market Strength Events
Market strength indicators for Central Asia give insight into the stock's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in Central Asia Metals.
| Accumulation Distribution | 40728.7 | |||
| Daily Balance Of Power | -0.45 | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 162.34 | |||
| Day Typical Price | 160.76 | |||
| Price Action Indicator | -7.94 | |||
| Period Momentum Indicator | -6.40 | |||
| Relative Strength Index | 37.05 |
Central Asia Risk Indicators
A thorough review of Central Asia's risk indicators is an important first step in forecasting its price. Quantifying the risk involved in Central Asia's allows investors to make better decisions about entry, sizing, and hedging.
| Mean Deviation | 2.28 | |||
| Standard Deviation | 3.88 | |||
| Variance | 15.05 |
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 Central Asia
Coverage intensity for Central Asia Metals matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.
Story Categories
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Central Asia Short Properties
Reviewing short-oriented indicators for Central Asia Metals is useful because long and short participants often create very different signals for timing and volatility. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 176.3 M | |
| Cash And Short Term Investments | 80.1 M |
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