Spinnova (Finland) Analysis

SPINN Stock   0.95  0.01  1.06%   
Spinnova Oy is overvalued with Real Value of 0.9 and Hype Value of 0.95. The main objective of Spinnova stock analysis is to determine its intrinsic value, which is an estimate of what Spinnova Oy is worth, separate from its market price. There are two main types of Spinnova's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Spinnova's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Spinnova's stock to identify patterns and trends that may indicate its future price movements.
The Spinnova stock is traded in Finland on Helsinki Exchange, with the market opening at 10:00:00 and closing at 18:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Finland. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Spinnova's ongoing operational relationships across important fundamental and technical indicators.
  
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Spinnova Oy. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

Spinnova Stock Analysis Notes

About 37.0% of the company outstanding shares are owned by corporate insiders. The book value of Spinnova was at this time reported as 2.07. The company recorded a loss per share of 0.36. Spinnova Oy had not issued any dividends in recent years. To find out more about Spinnova Oy contact the company at 358 2070 32430 or learn more at https://www.spinnova.com.

Spinnova Oy Investment Alerts

Spinnova Oy generated a negative expected return over the last 90 days
Spinnova Oy has some characteristics of a very speculative penny stock
Spinnova Oy has high historical volatility and very poor performance
The company reported the revenue of 6.06 M. Net Loss for the year was (15.42 M) with profit before overhead, payroll, taxes, and interest of 1.04 M.
Spinnova generates negative cash flow from operations
About 37.0% of the company outstanding shares are owned by corporate insiders

Spinnova Market Capitalization

The company currently falls under 'Small-Cap' category with a current market capitalization of 329.07 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Spinnova's market, we take the total number of its shares issued and multiply it by Spinnova'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.

Spinnova Profitablity

Spinnova's profitability indicators refer to fundamental financial ratios that showcase Spinnova's ability to generate income relative to its revenue or operating costs. If, let's say, Spinnova is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Spinnova'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 Spinnova's profitability requires more research than a typical breakdown of Spinnova'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 (0.94) %, 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. Similarly, it shows Operating Margin (OM) of (0.72) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.72.

Technical Drivers

As of the 19th of January, Spinnova has the Coefficient Of Variation of (622.91), variance of 13.6, and Risk Adjusted Performance of (0.13). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Spinnova Oy, as well as the relationship between them.

Spinnova Oy Price Movement Analysis

Study
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Spinnova Outstanding Bonds

Spinnova issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Spinnova Oy uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Spinnova bonds can be classified according to their maturity, which is the date when Spinnova Oy has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.

Spinnova Predictive Daily Indicators

Spinnova intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Spinnova stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

Spinnova Forecast Models

Spinnova's time-series forecasting models are one of many Spinnova's stock analysis techniques aimed at predicting 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 Spinnova'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.

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 stock analysis tools, you can find out how much better you can do when adding Spinnova to your portfolios without increasing risk or reducing expected return.

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