A1 Pink Sheet Forecast - 8 Period Moving Average
| AWON Stock | USD 0 0.0002 8.70% |
The 8 Period Moving Average forecasted value of A1 Group on the next trading day is expected to be 0 with a mean absolute deviation of 0.0009 and the sum of the absolute errors of 0.05. A1 Pink Sheet Forecast is based on your current time horizon.
A1 |
A1 8 Period Moving Average Price Forecast For the 5th of December
Given 90 days horizon, the 8 Period Moving Average forecasted value of A1 Group on the next trading day is expected to be 0 with a mean absolute deviation of 0.0009, mean absolute percentage error of 0.00000163, and the sum of the absolute errors of 0.05.Please note that although there have been many attempts to predict A1 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 A1's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
A1 Pink Sheet Forecast Pattern
| Backtest A1 | A1 Price Prediction | Buy or Sell Advice |
A1 Forecasted Value
In the context of forecasting A1'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. A1's downside and upside margins for the forecasting period are 0.000021 and 16.28, respectively. We have considered A1'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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of A1 pink sheet data series using in forecasting. Note that when a statistical model is used to represent A1 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 | 91.9185 |
| Bias | Arithmetic mean of the errors | 5.0E-4 |
| MAD | Mean absolute deviation | 9.0E-4 |
| MAPE | Mean absolute percentage error | 0.2524 |
| SAE | Sum of the absolute errors | 0.0474 |
Predictive Modules for A1
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as A1 Group. 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 A1
For every potential investor in A1, whether a beginner or expert, A1's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. A1 Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in A1. Basic forecasting techniques help filter out the noise by identifying A1's price trends.View A1 Related Equities
| Risk & Return | Correlation |
A1 Group 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 A1'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 A1's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
A1 Market Strength Events
Market strength indicators help investors to evaluate how A1 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 A1 shares will generate the highest return on investment. By undertsting and applying A1 pink sheet market strength indicators, traders can identify A1 Group entry and exit signals to maximize returns.
| Accumulation Distribution | 201272.0 | |||
| Daily Balance Of Power | (0.29) | |||
| Rate Of Daily Change | 0.91 | |||
| Day Median Price | 0.0025 | |||
| Day Typical Price | 0.0023 | |||
| Price Action Indicator | (0.0004) | |||
| Period Momentum Indicator | (0.0002) | |||
| Relative Strength Index | 30.75 |
A1 Risk Indicators
The analysis of A1'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 A1's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting a1 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 | 9.59 | |||
| Standard Deviation | 16.67 | |||
| Variance | 277.98 |
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 A1
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 A1 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 A1 will appreciate offsetting losses from the drop in the long position's value.Moving against A1 Pink Sheet
| 0.87 | BAC | Bank of America Fiscal Year End 10th of January 2025 | PairCorr |
| 0.84 | FSTF | First State Financial | PairCorr |
| 0.83 | JPM | JPMorgan Chase Fiscal Year End 10th of January 2025 | PairCorr |
| 0.83 | DIS | Walt Disney | PairCorr |
| 0.81 | AXP | American Express Sell-off Trend | PairCorr |
The ability to find closely correlated positions to A1 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace A1 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 A1 - 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 A1 Group to buy it.
The correlation of A1 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 A1 moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if A1 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 A1 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.Other Information on Investing in A1 Pink Sheet
A1 financial ratios help investors to determine whether A1 Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in A1 with respect to the benefits of owning A1 security.