Fortuna Silver Stock Forecast - 4 Period Moving Average
| FVI Stock | CAD 6.75 0.01 0.15% |
The 4 Period Moving Average forecasted value of Fortuna Silver Mines on the next trading day is expected to be 6.78 with a mean absolute deviation of 0.23 and the sum of the absolute errors of 13.44. Fortuna Stock Forecast is based on your current time horizon. Although Fortuna Silver's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Fortuna Silver's systematic risk associated with finding meaningful patterns of Fortuna Silver fundamentals over time.
Fortuna |
Fortuna Silver 4 Period Moving Average Price Forecast For the 30th of November
Given 90 days horizon, the 4 Period Moving Average forecasted value of Fortuna Silver Mines on the next trading day is expected to be 6.78 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.09, and the sum of the absolute errors of 13.44.Please note that although there have been many attempts to predict Fortuna 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 Fortuna Silver's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Fortuna Silver Stock Forecast Pattern
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Fortuna Silver Forecasted Value
In the context of forecasting Fortuna Silver'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. Fortuna Silver's downside and upside margins for the forecasting period are 3.56 and 9.99, respectively. We have considered Fortuna Silver'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Fortuna Silver stock data series using in forecasting. Note that when a statistical model is used to represent Fortuna Silver 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 | 110.1646 |
| Bias | Arithmetic mean of the errors | -0.0456 |
| MAD | Mean absolute deviation | 0.2318 |
| MAPE | Mean absolute percentage error | 0.0346 |
| SAE | Sum of the absolute errors | 13.4425 |
Predictive Modules for Fortuna Silver
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fortuna Silver Mines. 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 Fortuna Silver
For every potential investor in Fortuna, whether a beginner or expert, Fortuna Silver's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Fortuna Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Fortuna. Basic forecasting techniques help filter out the noise by identifying Fortuna Silver's price trends.Fortuna Silver 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 Fortuna Silver stock to make a market-neutral strategy. Peer analysis of Fortuna Silver could also be used in its relative valuation, which is a method of valuing Fortuna Silver by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Fortuna Silver Mines 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 Fortuna Silver'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 Fortuna Silver's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Fortuna Silver Market Strength Events
Market strength indicators help investors to evaluate how Fortuna Silver stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fortuna Silver shares will generate the highest return on investment. By undertsting and applying Fortuna Silver stock market strength indicators, traders can identify Fortuna Silver Mines entry and exit signals to maximize returns.
| Accumulation Distribution | 873.89 | |||
| Daily Balance Of Power | (0.17) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 6.75 | |||
| Day Typical Price | 6.75 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
Fortuna Silver Risk Indicators
The analysis of Fortuna Silver'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 Fortuna Silver's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting fortuna 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 | 2.4 | |||
| Semi Deviation | 3.27 | |||
| Standard Deviation | 3.29 | |||
| Variance | 10.85 | |||
| Downside Variance | 11.62 | |||
| Semi Variance | 10.71 | |||
| Expected Short fall | (2.39) |
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.
When determining whether Fortuna Silver Mines is a strong investment it is important to analyze Fortuna Silver's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Fortuna Silver's future performance. For an informed investment choice regarding Fortuna Stock, refer to the following important reports: Check out Historical Fundamental Analysis of Fortuna Silver to cross-verify your projections. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.