Reitmans Pink Sheet Forecast - Simple Moving Average

RTMAF Stock  USD 1.85  0.00  0.00%   
The Simple Moving Average forecasted value of Reitmans Limited on the next trading day is expected to be 1.85 with a mean absolute deviation of  0.01  and the sum of the absolute errors of 0.54. Reitmans Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Reitmans stock prices and determine the direction of Reitmans Limited's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Reitmans' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Reitmans to cross-verify your projections.
  
Most investors in Reitmans 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 Reitmans' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Reitmans' price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Reitmans is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Reitmans Simple Moving Average Price Forecast For the 29th of March

Given 90 days horizon, the Simple Moving Average forecasted value of Reitmans Limited on the next trading day is expected to be 1.85 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 0.54.
Please note that although there have been many attempts to predict Reitmans 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 Reitmans' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Reitmans Pink Sheet Forecast Pattern

Backtest ReitmansReitmans Price PredictionBuy or Sell Advice 

Reitmans Forecasted Value

In the context of forecasting Reitmans' 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. Reitmans' downside and upside margins for the forecasting period are 0.57 and 3.13, respectively. We have considered Reitmans' 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
1.85
1.85
Expected Value
3.13
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Reitmans pink sheet data series using in forecasting. Note that when a statistical model is used to represent Reitmans 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 Criteria106.9809
BiasArithmetic mean of the errors -0.0014
MADMean absolute deviation0.0091
MAPEMean absolute percentage error0.0048
SAESum of the absolute errors0.535
The simple moving average model is conceptually a linear regression of the current value of Reitmans Limited price series against current and previous (unobserved) value of Reitmans. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Reitmans

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Reitmans Limited. 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 Reitmans' 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
0.581.853.12
Details
Intrinsic
Valuation
LowRealHigh
0.271.542.81
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Reitmans. Your research has to be compared to or analyzed against Reitmans' peers to derive any actionable benefits. When done correctly, Reitmans' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Reitmans Limited.

Other Forecasting Options for Reitmans

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

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

Reitmans Limited 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 Reitmans' 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 Reitmans' current price.

Reitmans Market Strength Events

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

Reitmans Risk Indicators

The analysis of Reitmans' 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 Reitmans' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting reitmans 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

Check out Historical Fundamental Analysis of Reitmans to cross-verify your projections.
Note that the Reitmans Limited information on this page should be used as a complementary analysis to other Reitmans' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.

Complementary Tools for Reitmans Pink Sheet analysis

When running Reitmans' price analysis, check to measure Reitmans' 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 Reitmans is operating at the current time. Most of Reitmans' value examination focuses on studying past and present price action to predict the probability of Reitmans' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Reitmans' price. Additionally, you may evaluate how the addition of Reitmans to your portfolios can decrease your overall portfolio volatility.
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
CEOs Directory
Screen CEOs from public companies around the world
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Portfolio Center
All portfolio management and optimization tools to improve performance of your portfolios
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Please note, there is a significant difference between Reitmans' value and its price as these two are different measures arrived at by different means. Investors typically determine if Reitmans is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Reitmans' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.