Industrial Commercial Pink Sheet Forecast - Naive Prediction
| IDCBY Stock | USD 15.70 0.04 0.26% |
The Naive Prediction forecasted value of Industrial Commercial Bank on the next trading day is expected to be 15.48 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.37. Industrial Pink Sheet Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Industrial Commercial's share price is below 20 . This usually indicates that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Industrial Commercial hype-based prediction, you can estimate the value of Industrial Commercial Bank from the perspective of Industrial Commercial response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Industrial Commercial Bank on the next trading day is expected to be 15.48 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.37. Industrial Commercial after-hype prediction price | USD 15.7 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Industrial |
Industrial Commercial Additional Predictive Modules
Most predictive techniques to examine Industrial price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Industrial using various technical indicators. When you analyze Industrial 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 |
Industrial Commercial Naive Prediction Price Forecast For the 12th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of Industrial Commercial Bank on the next trading day is expected to be 15.48 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.37.Please note that although there have been many attempts to predict Industrial 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 Industrial Commercial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Industrial Commercial Pink Sheet Forecast Pattern
| Backtest Industrial Commercial | Industrial Commercial Price Prediction | Buy or Sell Advice |
Industrial Commercial Forecasted Value
In the context of forecasting Industrial Commercial'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. Industrial Commercial's downside and upside margins for the forecasting period are 14.34 and 16.62, respectively. We have considered Industrial Commercial'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 Industrial Commercial pink sheet data series using in forecasting. Note that when a statistical model is used to represent Industrial Commercial 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 | 114.7673 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1537 |
| MAPE | Mean absolute percentage error | 0.0098 |
| SAE | Sum of the absolute errors | 9.3745 |
Predictive Modules for Industrial Commercial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Industrial Commercial. 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.Other Forecasting Options for Industrial Commercial
For every potential investor in Industrial, whether a beginner or expert, Industrial Commercial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Industrial Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Industrial. Basic forecasting techniques help filter out the noise by identifying Industrial Commercial's price trends.View Industrial Commercial Related Equities
| Risk & Return | Correlation |
Industrial Commercial 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 Industrial Commercial'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 Industrial Commercial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Industrial Commercial Market Strength Events
Market strength indicators help investors to evaluate how Industrial Commercial 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 Industrial Commercial shares will generate the highest return on investment. By undertsting and applying Industrial Commercial pink sheet market strength indicators, traders can identify Industrial Commercial Bank entry and exit signals to maximize returns.
Industrial Commercial Risk Indicators
The analysis of Industrial Commercial'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 Industrial Commercial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting industrial 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 | 0.806 | |||
| Semi Deviation | 0.9348 | |||
| Standard Deviation | 1.13 | |||
| Variance | 1.27 | |||
| Downside Variance | 1.56 | |||
| Semi Variance | 0.8739 | |||
| Expected Short fall | (0.85) |
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.
Also Currently Popular
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 Industrial Pink Sheet Analysis
When running Industrial Commercial's price analysis, check to measure Industrial Commercial'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 Industrial Commercial is operating at the current time. Most of Industrial Commercial's value examination focuses on studying past and present price action to predict the probability of Industrial Commercial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Industrial Commercial's price. Additionally, you may evaluate how the addition of Industrial Commercial to your portfolios can decrease your overall portfolio volatility.