Piedmont Lithium Stock Forecast - 4 Period Moving Average

PLLDelisted Stock  USD 7.25  0.77  9.60%   
The 4 Period Moving Average forecasted value of Piedmont Lithium on the next trading day is expected to be 7.79 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 23.22. Piedmont Stock Forecast is based on your current time horizon.
As of now the value of rsi of Piedmont Lithium's share price is below 20 indicating that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Piedmont Lithium's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Piedmont Lithium and does not consider all of the tangible or intangible factors available from Piedmont Lithium's fundamental data. We analyze noise-free headlines and recent hype associated with Piedmont Lithium, which may create opportunities for some arbitrage if properly timed.
Using Piedmont Lithium hype-based prediction, you can estimate the value of Piedmont Lithium from the perspective of Piedmont Lithium response to recently generated media hype and the effects of current headlines on its competitors.
The 4 Period Moving Average forecasted value of Piedmont Lithium on the next trading day is expected to be 7.79 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 23.22.

Piedmont Lithium after-hype prediction price

    
  USD 7.25  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in industry.

Piedmont Lithium Additional Predictive Modules

Most predictive techniques to examine Piedmont price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Piedmont using various technical indicators. When you analyze Piedmont charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
A four-period moving average forecast model for Piedmont Lithium is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Piedmont Lithium 4 Period Moving Average Price Forecast For the 21st of January

Given 90 days horizon, the 4 Period Moving Average forecasted value of Piedmont Lithium on the next trading day is expected to be 7.79 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.31, and the sum of the absolute errors of 23.22.
Please note that although there have been many attempts to predict Piedmont 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 Piedmont Lithium's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Piedmont Lithium Stock Forecast Pattern

Backtest Piedmont LithiumPiedmont Lithium Price PredictionBuy or Sell Advice 

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 Piedmont Lithium stock data series using in forecasting. Note that when a statistical model is used to represent Piedmont Lithium 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 Criteria109.5862
BiasArithmetic mean of the errors -0.0562
MADMean absolute deviation0.4073
MAPEMean absolute percentage error0.0525
SAESum of the absolute errors23.2175
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Piedmont Lithium. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Piedmont Lithium and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Piedmont Lithium

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Piedmont Lithium. 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
7.257.257.25
Details
Intrinsic
Valuation
LowRealHigh
6.456.457.98
Details

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

Piedmont Lithium Market Strength Events

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

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Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in industry.
You can also try the Stocks Directory module to find actively traded stocks across global markets.

Other Consideration for investing in Piedmont Stock

If you are still planning to invest in Piedmont Lithium check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Piedmont Lithium's history and understand the potential risks before investing.
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