Everyday People Stock Forecast - Naive Prediction

EPF Stock   0.44  0.03  7.32%   
The Naive Prediction forecasted value of Everyday People Financial on the next trading day is expected to be 0.44 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.54. Everyday Stock Forecast is based on your current time horizon.
  
At this time, Everyday People's Total Assets are fairly stable compared to the past year. Total Current Liabilities is likely to climb to about 40.4 M in 2024, despite the fact that Retained Earnings are likely to grow to (51.9 M).
A naive forecasting model for Everyday People is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Everyday People Financial value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Everyday People Naive Prediction Price Forecast For the 13th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Everyday People Financial on the next trading day is expected to be 0.44 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0001, and the sum of the absolute errors of 0.54.
Please note that although there have been many attempts to predict Everyday 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 Everyday People's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Everyday People Stock Forecast Pattern

Backtest Everyday PeopleEveryday People Price PredictionBuy or Sell Advice 

Everyday People Forecasted Value

In the context of forecasting Everyday People'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. Everyday People's downside and upside margins for the forecasting period are 0 and 4.15, respectively. We have considered Everyday People'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
0.44
0.44
Expected Value
4.15
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Everyday People stock data series using in forecasting. Note that when a statistical model is used to represent Everyday People 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 Criteria110.9319
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0087
MAPEMean absolute percentage error0.0218
SAESum of the absolute errors0.537
This model is not at all useful as a medium-long range forecasting tool of Everyday People Financial. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Everyday People. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Everyday People

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Everyday People Financial. 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
0.020.444.15
Details
Intrinsic
Valuation
LowRealHigh
0.020.354.06
Details

Other Forecasting Options for Everyday People

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

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

Everyday People Financial 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 Everyday People'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 Everyday People's current price.

Everyday People Market Strength Events

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

Everyday People Risk Indicators

The analysis of Everyday People'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 Everyday People's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting everyday 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for Everyday Stock Analysis

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