Lowell Farms Pink Sheet Forecast - 4 Period Moving Average

LOWLF Stock  USD 0.01  0.00  0.00%   
The 4 Period Moving Average forecasted value of Lowell Farms on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.09. Lowell Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Lowell Farms' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A four-period moving average forecast model for Lowell Farms 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.

Lowell Farms 4 Period Moving Average Price Forecast For the 4th of August

Given 90 days horizon, the 4 Period Moving Average forecasted value of Lowell Farms on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000395, and the sum of the absolute errors of 0.09.
Please note that although there have been many attempts to predict Lowell 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 Lowell Farms' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lowell Farms Pink Sheet Forecast Pattern

Backtest Lowell FarmsLowell Farms 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 Lowell Farms pink sheet data series using in forecasting. Note that when a statistical model is used to represent Lowell Farms 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.
AICAkaike Information Criteria98.3176
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0016
MAPEMean absolute percentage error0.1185
SAESum of the absolute errors0.0904
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 Lowell Farms. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Lowell Farms and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Lowell Farms

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lowell Farms. 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.
Hype
Prediction
LowEstimatedHigh
0.000.0117.99
Details
Intrinsic
Valuation
LowRealHigh
0.000.0117.99
Details

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

Lowell Farms Market Strength Events

Market strength indicators help investors to evaluate how Lowell Farms 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 Lowell Farms shares will generate the highest return on investment. By undertsting and applying Lowell Farms pink sheet market strength indicators, traders can identify Lowell Farms entry and exit signals to maximize returns.

Lowell Farms Risk Indicators

The analysis of Lowell Farms' 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 Lowell Farms' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lowell 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.
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 Lowell Pink Sheet

Lowell Farms financial ratios help investors to determine whether Lowell 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 Lowell with respect to the benefits of owning Lowell Farms security.