PT Bank Pink Sheet Forecast - Polynomial Regression
| PBCRF Stock | USD 0.56 0.03 5.08% |
The Polynomial Regression forecasted value of PT Bank Central on the next trading day is expected to be 0.59 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.12. PBCRF Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast PT Bank stock prices and determine the direction of PT Bank Central's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of PT Bank's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of PT Bank to cross-verify your projections. PBCRF |
Most investors in PT Bank 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 PT Bank's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets PT Bank's price structures and extracts relationships that further increase the generated results' accuracy.
PT Bank polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for PT Bank Central as well as the accuracy indicators are determined from the period prices. PT Bank Polynomial Regression Price Forecast For the 24th of May
Given 90 days horizon, the Polynomial Regression forecasted value of PT Bank Central on the next trading day is expected to be 0.59 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0005, and the sum of the absolute errors of 1.12.Please note that although there have been many attempts to predict PBCRF Pink Sheet 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 PT Bank's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PT Bank Pink Sheet Forecast Pattern
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PT Bank Forecasted Value
In the context of forecasting PT Bank's Pink Sheet 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. PT Bank's downside and upside margins for the forecasting period are 0.01 and 4.92, respectively. We have considered PT 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of PT Bank pink sheet data series using in forecasting. Note that when a statistical model is used to represent PT Bank pink sheet, 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 | 110.4968 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0184 |
| MAPE | Mean absolute percentage error | 0.0305 |
| SAE | Sum of the absolute errors | 1.1224 |
Predictive Modules for PT 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 PT Bank Central. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 PT Bank'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 PT Bank
For every potential investor in PBCRF, whether a beginner or expert, PT Bank's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. PBCRF Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in PBCRF. Basic forecasting techniques help filter out the noise by identifying PT Bank's price trends.View PT Bank Related Equities
| Risk & Return | Correlation |
PT Bank Central Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of PT 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 PT Bank's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
PT Bank Market Strength Events
Market strength indicators help investors to evaluate how PT Bank pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading PT Bank shares will generate the highest return on investment. By undertsting and applying PT Bank pink sheet market strength indicators, traders can identify PT Bank Central entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.95 | |||
| Day Median Price | 0.56 | |||
| Day Typical Price | 0.56 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.03) | |||
| Relative Strength Index | 44.33 |
PT Bank Risk Indicators
The analysis of PT 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 PT Bank's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pbcrf pink sheet 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 | 3.14 | |||
| Standard Deviation | 4.33 | |||
| Variance | 18.77 |
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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Check out Historical Fundamental Analysis of PT Bank to cross-verify your projections. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Complementary Tools for PBCRF Pink Sheet analysis
When running PT Bank's price analysis, check to measure PT Bank'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 PT Bank is operating at the current time. Most of PT Bank's value examination focuses on studying past and present price action to predict the probability of PT Bank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PT Bank's price. Additionally, you may evaluate how the addition of PT Bank to your portfolios can decrease your overall portfolio volatility.
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