CSP Steel Stock Forecast - 8 Period Moving Average

CSP Stock  THB 1.03  0.01  0.98%   
The 8 Period Moving Average forecasted value of CSP Steel Center on the next trading day is expected to be 1.01 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.31. CSP Stock Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for CSP Steel is based on an artificially constructed time series of CSP Steel daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

CSP Steel 8 Period Moving Average Price Forecast For the 7th of July

Given 90 days horizon, the 8 Period Moving Average forecasted value of CSP Steel Center on the next trading day is expected to be 1.01 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 1.31.
Please note that although there have been many attempts to predict CSP 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 CSP Steel's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CSP Steel Stock Forecast Pattern

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CSP Steel Forecasted Value

In the context of forecasting CSP Steel'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. CSP Steel's downside and upside margins for the forecasting period are 0.01 and 3.07, respectively. We have considered CSP Steel'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.
Market Value
1.03
1.01
Expected Value
3.07
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of CSP Steel stock data series using in forecasting. Note that when a statistical model is used to represent CSP Steel 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.
AICAkaike Information Criteria96.639
BiasArithmetic mean of the errors -0.004
MADMean absolute deviation0.0248
MAPEMean absolute percentage error0.024
SAESum of the absolute errors1.3125
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. CSP Steel Center 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for CSP Steel

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CSP Steel Center. 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 CSP Steel'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.
Hype
Prediction
LowEstimatedHigh
0.051.033.09
Details
Intrinsic
Valuation
LowRealHigh
0.051.023.08
Details

Other Forecasting Options for CSP Steel

For every potential investor in CSP, whether a beginner or expert, CSP Steel's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. CSP Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in CSP. Basic forecasting techniques help filter out the noise by identifying CSP Steel's price trends.

CSP Steel 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 CSP Steel stock to make a market-neutral strategy. Peer analysis of CSP Steel could also be used in its relative valuation, which is a method of valuing CSP Steel by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

CSP Steel Center 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 CSP Steel'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 CSP Steel's current price.

CSP Steel Market Strength Events

Market strength indicators help investors to evaluate how CSP Steel stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CSP Steel shares will generate the highest return on investment. By undertsting and applying CSP Steel stock market strength indicators, traders can identify CSP Steel Center entry and exit signals to maximize returns.

CSP Steel Risk Indicators

The analysis of CSP Steel'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 CSP Steel's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting csp 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.
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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Other Information on Investing in CSP Stock

CSP Steel financial ratios help investors to determine whether CSP 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 CSP with respect to the benefits of owning CSP Steel security.