BOD Science Stock Forecast - Naive Prediction

BOD Stock   0.02  0.00  0.00%   
The Naive Prediction forecasted value of BOD Science on the next trading day is expected to be 0.02 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. BOD Stock Forecast is based on your current time horizon.
  
At this time, BOD Science's Total Current Assets are comparatively stable compared to the past year. Short Term Debt is likely to gain to about 1.7 M in 2025, despite the fact that Total Stockholder Equity is likely to grow to (4.9 M).
A naive forecasting model for BOD Science is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of BOD Science value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

BOD Science Naive Prediction Price Forecast For the 29th of December

Given 90 days horizon, the Naive Prediction forecasted value of BOD Science on the next trading day is expected to be 0.02 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict BOD 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 BOD Science's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BOD Science Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of BOD Science stock data series using in forecasting. Note that when a statistical model is used to represent BOD Science 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 Criteria41.4754
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of BOD Science. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict BOD Science. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for BOD Science

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BOD Science. 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.
Hype
Prediction
LowEstimatedHigh
0.020.020.03
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Intrinsic
Valuation
LowRealHigh
0.020.020.03
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BOD Science 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 BOD Science stock to make a market-neutral strategy. Peer analysis of BOD Science could also be used in its relative valuation, which is a method of valuing BOD Science by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

BOD Science Market Strength Events

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

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 BOD Stock Analysis

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