Foremost Lithium Stock Forecast - Polynomial Regression

FMST Stock   2.34  0.04  1.74%   
The Polynomial Regression forecasted value of Foremost Lithium Resource on the next trading day is expected to be 2.32 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 8.16. Foremost Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to drop to 0.0003 in 2024. Payables Turnover is likely to drop to 0.000005 in 2024. Common Stock Shares Outstanding is likely to gain to about 4.7 M in 2024, whereas Net Loss is likely to drop (3.9 M) in 2024.
Most investors in Foremost Lithium 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 Foremost Lithium's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Foremost Lithium's price structures and extracts relationships that further increase the generated results' accuracy.
Foremost Lithium polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Foremost Lithium Resource as well as the accuracy indicators are determined from the period prices.

Foremost Lithium Polynomial Regression Price Forecast For the 10th of June

Given 90 days horizon, the Polynomial Regression forecasted value of Foremost Lithium Resource on the next trading day is expected to be 2.32 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.16.
Please note that although there have been many attempts to predict Foremost 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 Foremost Lithium's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Foremost Lithium Stock Forecast Pattern

Backtest Foremost LithiumForemost Lithium Price PredictionBuy or Sell Advice 

Foremost Lithium Forecasted Value

In the context of forecasting Foremost Lithium'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. Foremost Lithium's downside and upside margins for the forecasting period are 0.02 and 7.16, respectively. We have considered Foremost Lithium'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.
Market Value
2.34
2.32
Expected Value
7.16
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Foremost Lithium stock data series using in forecasting. Note that when a statistical model is used to represent Foremost 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 Criteria114.5011
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1338
MAPEMean absolute percentage error0.0511
SAESum of the absolute errors8.1646
A single variable polynomial regression model attempts to put a curve through the Foremost Lithium historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Foremost 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 Foremost Lithium Resource. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Foremost Lithium'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.
Hype
Prediction
LowEstimatedHigh
0.122.347.18
Details
Intrinsic
Valuation
LowRealHigh
0.142.857.69
Details
2 Analysts
Consensus
LowTargetHigh
4.204.615.12
Details

Other Forecasting Options for Foremost Lithium

For every potential investor in Foremost, whether a beginner or expert, Foremost Lithium's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Foremost Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Foremost. Basic forecasting techniques help filter out the noise by identifying Foremost Lithium's price trends.

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

Foremost Lithium Resource 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 Foremost Lithium'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 Foremost Lithium's current price.

Foremost Lithium Market Strength Events

Market strength indicators help investors to evaluate how Foremost 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 Foremost Lithium shares will generate the highest return on investment. By undertsting and applying Foremost Lithium stock market strength indicators, traders can identify Foremost Lithium Resource entry and exit signals to maximize returns.

Foremost Lithium Risk Indicators

The analysis of Foremost Lithium'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 Foremost Lithium's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting foremost 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.
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.

Pair Trading with Foremost Lithium

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Foremost Lithium position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Foremost Lithium will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Foremost Lithium could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Foremost Lithium when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Foremost Lithium - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Foremost Lithium Resource to buy it.
The correlation of Foremost Lithium is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Foremost Lithium moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Foremost Lithium Resource moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Foremost Lithium can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Foremost Stock Analysis

When running Foremost Lithium's price analysis, check to measure Foremost Lithium's 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 Foremost Lithium is operating at the current time. Most of Foremost Lithium's value examination focuses on studying past and present price action to predict the probability of Foremost Lithium's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Foremost Lithium's price. Additionally, you may evaluate how the addition of Foremost Lithium to your portfolios can decrease your overall portfolio volatility.