Bm Technologies Stock Forecast - Triple Exponential Smoothing

BMTX Stock  USD 4.75  0.02  0.42%   
The Triple Exponential Smoothing forecasted value of Bm Technologies on the next trading day is expected to be 4.77 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 5.95. BMTX Stock Forecast is based on your current time horizon.
  
At this time, Bm Technologies' Receivables Turnover is fairly stable compared to the past year. Fixed Asset Turnover is likely to rise to 106.65 in 2024, whereas Inventory Turnover is likely to drop (3.40) in 2024. . Common Stock Shares Outstanding is likely to drop to about 10.6 M in 2024. Net Loss is likely to drop to about (940.6 K) in 2024.
Triple exponential smoothing for Bm Technologies - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Bm Technologies prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Bm Technologies price movement. However, neither of these exponential smoothing models address any seasonality of Bm Technologies.

Bm Technologies Triple Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Bm Technologies on the next trading day is expected to be 4.77 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.05, and the sum of the absolute errors of 5.95.
Please note that although there have been many attempts to predict BMTX 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 Bm Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bm Technologies Stock Forecast Pattern

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Bm Technologies Forecasted Value

In the context of forecasting Bm Technologies' 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. Bm Technologies' downside and upside margins for the forecasting period are 0.05 and 11.36, respectively. We have considered Bm Technologies' 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
4.75
4.77
Expected Value
11.36
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Bm Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Bm Technologies 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0302
MADMean absolute deviation0.0992
MAPEMean absolute percentage error0.0264
SAESum of the absolute errors5.949
As with simple exponential smoothing, in triple exponential smoothing models past Bm Technologies observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Bm Technologies observations.

Predictive Modules for Bm Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bm Technologies. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bm Technologies' 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
0.244.7611.35
Details
Intrinsic
Valuation
LowRealHigh
0.285.5112.10
Details
2 Analysts
Consensus
LowTargetHigh
6.146.757.49
Details

Other Forecasting Options for Bm Technologies

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

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 Risk & Return  Correlation

Bm Technologies 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 Bm Technologies' 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 Bm Technologies' current price.

Bm Technologies Market Strength Events

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

Bm Technologies Risk Indicators

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

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for BMTX Stock Analysis

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