First Real Pink Sheet Forecast - 8 Period Moving Average

FREVS Stock  USD 17.25  1.24  7.75%   
The 8 Period Moving Average forecasted value of First Real Estate on the next trading day is expected to be 17.05 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 23.96. First Pink Sheet Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for First Real is based on an artificially constructed time series of First Real 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.

First Real 8 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 8 Period Moving Average forecasted value of First Real Estate on the next trading day is expected to be 17.05 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.34, and the sum of the absolute errors of 23.96.
Please note that although there have been many attempts to predict First 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 First Real's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

First Real Pink Sheet Forecast Pattern

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First Real Forecasted Value

In the context of forecasting First Real's 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. First Real's downside and upside margins for the forecasting period are 13.50 and 20.61, respectively. We have considered First Real'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
17.25
17.05
Expected Value
20.61
Upside

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 First Real pink sheet data series using in forecasting. Note that when a statistical model is used to represent First Real 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 Criteria104.1546
BiasArithmetic mean of the errors -0.0075
MADMean absolute deviation0.4438
MAPEMean absolute percentage error0.0259
SAESum of the absolute errors23.9637
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. First Real Estate 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for First Real

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Real Estate. 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 First Real'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
0.000.003.57
Details
Intrinsic
Valuation
LowRealHigh
0.000.003.57
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.9817.2518.53
Details

Other Forecasting Options for First Real

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

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

First Real Estate 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 First Real'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 First Real's current price.

First Real Market Strength Events

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

First Real Risk Indicators

The analysis of First Real'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 First Real's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting first 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.

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.
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Additional Tools for First Pink Sheet Analysis

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