Pilbara Minerals Pink Sheet Forecast - 8 Period Moving Average
| PILBF Stock | USD 2.50 0.02 0.81% |
The 8 Period Moving Average forecasted value of Pilbara Minerals Limited on the next trading day is expected to be 2.52 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.45. Pilbara Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Pilbara Minerals stock prices and determine the direction of Pilbara Minerals Limited's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Pilbara Minerals' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Pilbara Minerals to cross-verify your projections. Pilbara |
Most investors in Pilbara Minerals cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Pilbara Minerals' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Pilbara Minerals' price structures and extracts relationships that further increase the generated results' accuracy.
An 8-period moving average forecast model for Pilbara Minerals is based on an artificially constructed time series of Pilbara Minerals 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. Pilbara Minerals 8 Period Moving Average Price Forecast For the 19th of April
Given 90 days horizon, the 8 Period Moving Average forecasted value of Pilbara Minerals Limited on the next trading day is expected to be 2.52 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.45.Please note that although there have been many attempts to predict Pilbara 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 Pilbara Minerals' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pilbara Minerals Pink Sheet Forecast Pattern
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Pilbara Minerals Forecasted Value
In the context of forecasting Pilbara Minerals' 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. Pilbara Minerals' downside and upside margins for the forecasting period are 0.03 and 5.77, respectively. We have considered Pilbara Minerals' 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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Pilbara Minerals pink sheet data series using in forecasting. Note that when a statistical model is used to represent Pilbara Minerals 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 | 99.121 |
| Bias | Arithmetic mean of the errors | -0.0162 |
| MAD | Mean absolute deviation | 0.0841 |
| MAPE | Mean absolute percentage error | 0.0325 |
| SAE | Sum of the absolute errors | 4.455 |
Predictive Modules for Pilbara Minerals
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pilbara Minerals. 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 Pilbara Minerals' 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 Pilbara Minerals
For every potential investor in Pilbara, whether a beginner or expert, Pilbara Minerals' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Pilbara Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Pilbara. Basic forecasting techniques help filter out the noise by identifying Pilbara Minerals' price trends.Pilbara Minerals 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 Pilbara Minerals pink sheet to make a market-neutral strategy. Peer analysis of Pilbara Minerals could also be used in its relative valuation, which is a method of valuing Pilbara Minerals by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Pilbara Minerals 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 Pilbara Minerals' 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 Pilbara Minerals' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Pilbara Minerals Market Strength Events
Market strength indicators help investors to evaluate how Pilbara Minerals 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 Pilbara Minerals shares will generate the highest return on investment. By undertsting and applying Pilbara Minerals pink sheet market strength indicators, traders can identify Pilbara Minerals Limited entry and exit signals to maximize returns.
Pilbara Minerals Risk Indicators
The analysis of Pilbara Minerals' 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 Pilbara Minerals' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pilbara 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 | 2.44 | |||
| Semi Deviation | 3.01 | |||
| Standard Deviation | 3.28 | |||
| Variance | 10.74 | |||
| Downside Variance | 10.22 | |||
| Semi Variance | 9.06 | |||
| Expected Short fall | (2.93) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Pilbara Minerals in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Pilbara Minerals' short interest history, or implied volatility extrapolated from Pilbara Minerals options trading.
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Check out Historical Fundamental Analysis of Pilbara Minerals to cross-verify your projections. Note that the Pilbara Minerals information on this page should be used as a complementary analysis to other Pilbara Minerals' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Complementary Tools for Pilbara Pink Sheet analysis
When running Pilbara Minerals' price analysis, check to measure Pilbara Minerals' 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 Pilbara Minerals is operating at the current time. Most of Pilbara Minerals' value examination focuses on studying past and present price action to predict the probability of Pilbara Minerals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pilbara Minerals' price. Additionally, you may evaluate how the addition of Pilbara Minerals to your portfolios can decrease your overall portfolio volatility.
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