West African Pink Sheet Forecast - 4 Period Moving Average
| WFRSF Stock | USD 0.99 0.05 5.32% |
The 4 Period Moving Average forecasted value of West African Resources on the next trading day is expected to be 0.99 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.07. West Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of West African's historical fundamentals, such as revenue growth or operating cash flow patterns.
West |
West African 4 Period Moving Average Price Forecast For the 30th of November
Given 90 days horizon, the 4 Period Moving Average forecasted value of West African Resources on the next trading day is expected to be 0.99 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.07.Please note that although there have been many attempts to predict West Pink Sheet 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 West African's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
West African Pink Sheet Forecast Pattern
| Backtest West African | West African Price Prediction | Buy or Sell Advice |
West African Forecasted Value
In the context of forecasting West African's Pink Sheet 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. West African's downside and upside margins for the forecasting period are 0.01 and 6.25, respectively. We have considered West African'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 West African pink sheet data series using in forecasting. Note that when a statistical model is used to represent West African pink sheet, 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 | 105.8323 |
| Bias | Arithmetic mean of the errors | 0.0022 |
| MAD | Mean absolute deviation | 0.0539 |
| MAPE | Mean absolute percentage error | 0.0519 |
| SAE | Sum of the absolute errors | 3.07 |
Predictive Modules for West African
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as West African Resources. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 West African'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.
Other Forecasting Options for West African
For every potential investor in West, whether a beginner or expert, West African's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. West Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in West. Basic forecasting techniques help filter out the noise by identifying West African's price trends.View West African Related Equities
| Risk & Return | Correlation |
West African Resources Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of West African'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 West African's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
West African Market Strength Events
Market strength indicators help investors to evaluate how West African pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading West African shares will generate the highest return on investment. By undertsting and applying West African pink sheet market strength indicators, traders can identify West African Resources entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.05 | |||
| Day Median Price | 0.99 | |||
| Day Typical Price | 0.99 | |||
| Price Action Indicator | 0.025 | |||
| Period Momentum Indicator | 0.05 | |||
| Relative Strength Index | 46.29 |
West African Risk Indicators
The analysis of West African'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 West African's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting west pink sheet 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 | 2.48 | |||
| Semi Deviation | 4.55 | |||
| Standard Deviation | 5.18 | |||
| Variance | 26.79 | |||
| Downside Variance | 81.49 | |||
| Semi Variance | 20.7 | |||
| Expected Short fall | (5.91) |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in West Pink Sheet
West African financial ratios help investors to determine whether West Pink Sheet 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 West with respect to the benefits of owning West African security.