Santacruz Silv Stock Forecast - 8 Period Moving Average

SCZ Stock  CAD 0.28  0.01  3.45%   
The 8 Period Moving Average forecasted value of Santacruz Silv on the next trading day is expected to be 0.28 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.46. Santacruz Stock Forecast is based on your current time horizon.
  
Payables Turnover is likely to climb to 6.65 in 2024, whereas Inventory Turnover is likely to drop 6.24 in 2024. . Common Stock Shares Outstanding is likely to climb to about 369.9 M in 2024, whereas Net Loss is likely to drop (1.8 M) in 2024.
An 8-period moving average forecast model for Santacruz Silv is based on an artificially constructed time series of Santacruz Silv 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.

Santacruz Silv 8 Period Moving Average Price Forecast For the 25th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Santacruz Silv on the next trading day is expected to be 0.28 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.46.
Please note that although there have been many attempts to predict Santacruz 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 Santacruz Silv's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Santacruz Silv Stock Forecast Pattern

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Santacruz Silv Forecasted Value

In the context of forecasting Santacruz Silv'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. Santacruz Silv's downside and upside margins for the forecasting period are 0 and 6.04, respectively. We have considered Santacruz Silv'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
0.28
0.28
Expected Value
6.04
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 Santacruz Silv stock data series using in forecasting. Note that when a statistical model is used to represent Santacruz Silv 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 Criteria96.6599
BiasArithmetic mean of the errors -3.0E-4
MADMean absolute deviation0.0276
MAPEMean absolute percentage error0.0809
SAESum of the absolute errors1.465
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. Santacruz Silv 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Santacruz Silv

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Santacruz Silv. 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.
Hype
Prediction
LowEstimatedHigh
0.010.286.04
Details
Intrinsic
Valuation
LowRealHigh
0.010.276.03
Details

Other Forecasting Options for Santacruz Silv

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

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

Santacruz Silv 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 Santacruz Silv'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 Santacruz Silv's current price.

Santacruz Silv Market Strength Events

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

Santacruz Silv Risk Indicators

The analysis of Santacruz Silv'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 Santacruz Silv's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting santacruz 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.

Thematic Opportunities

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Additional Tools for Santacruz Stock Analysis

When running Santacruz Silv's price analysis, check to measure Santacruz Silv'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 Santacruz Silv is operating at the current time. Most of Santacruz Silv's value examination focuses on studying past and present price action to predict the probability of Santacruz Silv's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Santacruz Silv's price. Additionally, you may evaluate how the addition of Santacruz Silv to your portfolios can decrease your overall portfolio volatility.