Baran Stock Forecast - Simple Regression
| BRAN Stock | ILA 1,100 13.00 1.17% |
The Simple Regression forecasted value of Baran Group on the next trading day is expected to be 1,154 with a mean absolute deviation of 31.01 and the sum of the absolute errors of 1,892. Baran Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Baran stock prices and determine the direction of Baran Group's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Baran's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Baran to cross-verify your projections. Baran |
Most investors in Baran cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Baran's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Baran's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Baran price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X. Baran Simple Regression Price Forecast For the 25th of April
Given 90 days horizon, the Simple Regression forecasted value of Baran Group on the next trading day is expected to be 1,154 with a mean absolute deviation of 31.01, mean absolute percentage error of 1,398, and the sum of the absolute errors of 1,892.Please note that although there have been many attempts to predict Baran 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 Baran's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Baran Stock Forecast Pattern
| Backtest Baran | Baran Price Prediction | Buy or Sell Advice |
Baran Forecasted Value
In the context of forecasting Baran'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. Baran's downside and upside margins for the forecasting period are 1,152 and 1,156, respectively. We have considered Baran'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Baran stock data series using in forecasting. Note that when a statistical model is used to represent Baran 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 | 125.3533 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 31.013 |
| MAPE | Mean absolute percentage error | 0.0318 |
| SAE | Sum of the absolute errors | 1891.7908 |
Predictive Modules for Baran
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Baran Group. 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 Baran's 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.
Other Forecasting Options for Baran
For every potential investor in Baran, whether a beginner or expert, Baran's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Baran Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Baran. Basic forecasting techniques help filter out the noise by identifying Baran's price trends.Baran 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 Baran stock to make a market-neutral strategy. Peer analysis of Baran could also be used in its relative valuation, which is a method of valuing Baran by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Baran Group 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 Baran'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 Baran's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Baran Market Strength Events
Market strength indicators help investors to evaluate how Baran stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Baran shares will generate the highest return on investment. By undertsting and applying Baran stock market strength indicators, traders can identify Baran Group entry and exit signals to maximize returns.
| Accumulation Distribution | 389.67 | |||
| Daily Balance Of Power | (0.81) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 1107.0 | |||
| Day Typical Price | 1104.67 | |||
| Market Facilitation Index | 6.0E-4 | |||
| Price Action Indicator | (13.50) | |||
| Period Momentum Indicator | (13.00) | |||
| Relative Strength Index | 67.42 |
Baran Risk Indicators
The analysis of Baran'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 Baran's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting baran 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 | 1.63 | |||
| Semi Deviation | 1.47 | |||
| Standard Deviation | 2.22 | |||
| Variance | 4.95 | |||
| Downside Variance | 3.02 | |||
| Semi Variance | 2.16 | |||
| Expected Short fall | (1.97) |
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 Baran
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 Baran 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 Baran will appreciate offsetting losses from the drop in the long position's value.Moving together with Baran Stock
| 0.65 | BSP | Black Sea Property | PairCorr |
| 0.84 | DCI | Direct Capital Inves | PairCorr |
| 0.85 | SAFE | Safe T Group | PairCorr |
Moving against Baran Stock
| 0.85 | FVT | Ai Conversation Systems | PairCorr |
| 0.75 | GIVO-L | GIVOT OLAM OIL | PairCorr |
The ability to find closely correlated positions to Baran could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Baran 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 Baran - 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 Baran Group to buy it.
The correlation of Baran 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 Baran moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Baran Group 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 Baran 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.Check out Historical Fundamental Analysis of Baran to cross-verify your projections. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
Complementary Tools for Baran Stock analysis
When running Baran's price analysis, check to measure Baran'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 Baran is operating at the current time. Most of Baran's value examination focuses on studying past and present price action to predict the probability of Baran's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Baran's price. Additionally, you may evaluate how the addition of Baran to your portfolios can decrease your overall portfolio volatility.
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Stock Screener Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook. | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |