MT Bank Stock Forecast - Naive Prediction
| M1TB34 Stock | 285.44 0.00 0.00% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using MT Bank hype-based prediction, you can estimate the value of MT Bank from the perspective of MT Bank response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of MT Bank on the next trading day is expected to be 282.09 with a mean absolute deviation of 1.58 and the sum of the absolute errors of 96.54. MT Bank after-hype prediction price | BRL 285.44 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
M1TB34 |
MT Bank Additional Predictive Modules
Most predictive techniques to examine M1TB34 price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for M1TB34 using various technical indicators. When you analyze M1TB34 charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
MT Bank Naive Prediction Price Forecast For the 16th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of MT Bank on the next trading day is expected to be 282.09 with a mean absolute deviation of 1.58, mean absolute percentage error of 5.88, and the sum of the absolute errors of 96.54.Please note that although there have been many attempts to predict M1TB34 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 MT Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
MT Bank Stock Forecast Pattern
MT Bank Forecasted Value
In the context of forecasting MT Bank'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. MT Bank's downside and upside margins for the forecasting period are 281.27 and 282.90, respectively. We have considered MT Bank'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.
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 MT Bank stock data series using in forecasting. Note that when a statistical model is used to represent MT Bank 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.| AIC | Akaike Information Criteria | 119.8813 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.5826 |
| MAPE | Mean absolute percentage error | 0.0058 |
| SAE | Sum of the absolute errors | 96.5373 |
Predictive Modules for MT Bank
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as MT Bank. 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 MT Bank. Your research has to be compared to or analyzed against MT Bank's peers to derive any actionable benefits. When done correctly, MT Bank'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 MT Bank.Other Forecasting Options for MT Bank
For every potential investor in M1TB34, whether a beginner or expert, MT Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. M1TB34 Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in M1TB34. Basic forecasting techniques help filter out the noise by identifying MT Bank's price trends.MT Bank 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 MT Bank stock to make a market-neutral strategy. Peer analysis of MT Bank could also be used in its relative valuation, which is a method of valuing MT Bank by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
MT Bank 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 MT Bank'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 MT Bank's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
MT Bank Market Strength Events
Market strength indicators help investors to evaluate how MT Bank stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MT Bank shares will generate the highest return on investment. By undertsting and applying MT Bank stock market strength indicators, traders can identify MT Bank entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 285.44 | |||
| Day Typical Price | 285.44 |
MT Bank Risk Indicators
The analysis of MT Bank'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 MT Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting m1tb34 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.
| Mean Deviation | 0.1999 | |||
| Standard Deviation | 0.7744 | |||
| Variance | 0.5997 |
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.