Manufactured Pink Sheet Analysis

MHPC
 Stock
  

USD 1.75  0.25  16.67%   

The big decline in price over the last few months for Manufactured Housing Propertiesmay encourage investors to take a closer look at the firm as it is trading at a share price of 1.75 on very low momentum in trading volume. The company executives failed to add value to investors and position the firm supply of money to exploit market volatility in November. However, diversifying your holdings with Manufactured Housing or similar stocks can still protect your portfolios during high-volatility market scenarios. The stock standard deviation of daily returns for 90 days investing horizon is currently 8.09. The very high volatility is mostly attributed to the latest market swings and not very good earnings reports from some of the Manufactured Housing partners.
Additionally, see Correlation Analysis.
  
The Manufactured Housing pink sheet analysis report makes it easy to digest most publicly released information about Manufactured Housing and get updates on important government artifacts, including earning estimates, SEC corporate filings, and announcements. Manufactured Pink Sheet analysis module also helps to analyze the Manufactured Housing price relationship with some important fundamental indicators such as market cap and management efficiency.

Manufactured Pink Sheet Analysis Notes

About 98.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.27. Manufactured Housing last dividend was issued on the 23rd of March 2018. The entity had 1:10 split on the 23rd of July 2015. Manufactured Housing Properties Inc. owns and operates manufactured housing communities. The company was founded in 2016 and is based in Pineville, North Carolina. Manufactured Housing operates under Real Estate Services classification in the United States and is traded on OTC Exchange. It employs 32 people.The quote for Manufactured Housing Properties is published daily by the National Quotation Bureau and the company does not need to meet minimum requirements or file with the SEC. To find out more about Manufactured Housing Properties contact Raymond Gee at 980 273 1702 or learn more at https://mhproperties.com.

Manufactured Housing Investment Alerts

Many investors view ongoing market volatility as an opportunity to purchase more otcs at a favorable price or short it to generate a bearish trend profit opportunity. If you are one of those investors, make sure you clearly understand the position you are entering. Manufactured Housing's investment alerts are automatically generated signals that are significant enough to either complement your investing judgment regarding Manufactured Housing Properties or challenge it. These alerts can help you understand what you are buying and avoid costly mistakes.
Manufactured Housing generated a negative expected return over the last 90 days
Manufactured Housing has high historical volatility and very poor performance
Manufactured Housing may become a speculative penny stock
The company reported the previous year's revenue of 8.36 M. Net Loss for the year was (1.56 M) with profit before overhead, payroll, taxes, and interest of 6.68 M.
About 98.0% of the company outstanding shares are owned by corporate insiders

Manufactured Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 18.74 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Manufactured Housing's market, we take the total number of its shares issued and multiply it by Manufactured Housing's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Manufactured Profitablity

Manufactured Housing's profitability indicators refer to fundamental financial ratios that showcase Manufactured Housing's ability to generate income relative to its revenue or operating costs. If, let's say, Manufactured Housing is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Manufactured Housing's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Manufactured Housing's profitability requires more research than a typical breakdown of Manufactured Housing's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of (0.58) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average.

Management Efficiency

Manufactured Housing management efficiency ratios could be used to measure how well manufactured housing manages its routine affairs as well as how well it operates its assets and liabilities.

Technical Drivers

As of the 10th of December, Manufactured Housing secures the risk adjusted performance of (0.07), and Mean Deviation of 2.79. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Manufactured Housing, as well as the relationship between them. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices, or the prices will eventually revert. We were able to interpolate data for nineteen technical drivers for Manufactured Housing, which can be compared to its peers in the industry. Please verify Manufactured Housing treynor ratio, as well as the relationship between the downside variance and kurtosis to decide if Manufactured Housing Properties is priced some-what accurately, providing market reflects its recent price of 1.75 per share. Please also check out Manufactured Housing total risk alpha, which is currently at (0.75) to check the company can sustain itself at a future point.

Manufactured Housing Price Movement Analysis

The output start index for this execution was two with a total number of output elements of fifty-nine. The Kaufman Adaptive Moving Average allows the user to define Manufactured Housing range across which they want the smoothing.
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Manufactured Housing Technical and Predictive Indicators

Manufactured Housing Forecast Models

Manufactured Housing time-series forecasting models is one of many Manufactured Housing's pink sheet analysis techniquest aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Manufactured Housing's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

About Manufactured Pink Sheet Analysis

Pink Sheet analysis is the technique used by a trader or investor to examine and evaluate how Manufactured Housing prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Manufactured shares will generate the highest return on investment. We also built our otc analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas, a specific sector, or an individual OTC such as Manufactured Housing. By using and applying Manufactured Pink Sheet analysis, traders can create a robust methodology for identifying Manufactured entry and exit points for their positions.
Manufactured Housing Properties Inc. owns and operates manufactured housing communities. The company was founded in 2016 and is based in Pineville, North Carolina. Manufactured Housing operates under Real Estate Services classification in the United States and is traded on OTC Exchange. It employs 32 people.

Be your own money manager

As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our pink sheet analysis tools, you can find out how much better you can do when adding Manufactured Housing to your portfolios without increasing risk or reducing expected return.

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When running Manufactured Housing price analysis, check to measure Manufactured Housing'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 Manufactured Housing is operating at the current time. Most of Manufactured Housing's value examination focuses on studying past and present price action to predict the probability of Manufactured Housing's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Manufactured Housing's price. Additionally, you may evaluate how the addition of Manufactured Housing to your portfolios can decrease your overall portfolio volatility.
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Please note, there is a significant difference between Manufactured Housing's value and its price as these two are different measures arrived at by different means. Investors typically determine Manufactured Housing value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Manufactured Housing's 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.