BitNine Co Stock Forecast - 4 Period Moving Average

357880 Stock   2,410  80.00  3.21%   
The 4 Period Moving Average forecasted value of BitNine Co on the next trading day is expected to be 2,468 with a mean absolute deviation of 243.71 and the sum of the absolute errors of 13,891. Investors can use prediction functions to forecast BitNine Co's stock prices and determine the direction of BitNine Co's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of BitNine Co's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
  
A four-period moving average forecast model for BitNine Co is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

BitNine Co 4 Period Moving Average Price Forecast For the 24th of December

Given 90 days horizon, the 4 Period Moving Average forecasted value of BitNine Co on the next trading day is expected to be 2,468 with a mean absolute deviation of 243.71, mean absolute percentage error of 149,933, and the sum of the absolute errors of 13,891.
Please note that although there have been many attempts to predict BitNine 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 BitNine Co's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BitNine Co Stock Forecast Pattern

BitNine Co Forecasted Value

In the context of forecasting BitNine Co'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. BitNine Co's downside and upside margins for the forecasting period are 2,457 and 2,478, respectively. We have considered BitNine Co'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
2,410
2,468
Expected Value
2,478
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of BitNine Co stock data series using in forecasting. Note that when a statistical model is used to represent BitNine Co 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 Criteria122.6769
BiasArithmetic mean of the errors -28.9411
MADMean absolute deviation243.7053
MAPEMean absolute percentage error0.1018
SAESum of the absolute errors13891.2025
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of BitNine Co. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for BitNine Co and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for BitNine Co

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BitNine Co. 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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BitNine Co. Your research has to be compared to or analyzed against BitNine Co's peers to derive any actionable benefits. When done correctly, BitNine Co's 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 BitNine Co.

Other Forecasting Options for BitNine Co

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

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

BitNine Co 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 BitNine Co'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 BitNine Co's current price.

BitNine Co Market Strength Events

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

BitNine Co Risk Indicators

The analysis of BitNine Co'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 BitNine Co's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bitnine 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.

Pair Trading with BitNine Co

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if BitNine Co position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in BitNine Co will appreciate offsetting losses from the drop in the long position's value.

Moving against BitNine Stock

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  0.71051910 LG ChemicalsPairCorr
  0.68051915 LG ChemPairCorr
  0.67207940 Samsung BiologicsPairCorr
  0.58005387 Hyundai MotorPairCorr
The ability to find closely correlated positions to BitNine Co could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BitNine Co when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back BitNine Co - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling BitNine Co to buy it.
The correlation of BitNine Co is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as BitNine Co moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BitNine Co moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for BitNine Co can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching