Powerstorm Holdings Pink Sheet Forecast - 20 Period Moving Average
| PSTO Stock | USD 0.01 0.00 0.00% |
The 20 Period Moving Average forecasted value of Powerstorm Holdings on the next trading day is expected to be 0.01 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.16. Powerstorm Pink Sheet Forecast is based on your current time horizon.
Powerstorm |
Powerstorm Holdings 20 Period Moving Average Price Forecast For the 31st of December
Given 90 days horizon, the 20 Period Moving Average forecasted value of Powerstorm Holdings on the next trading day is expected to be 0.01 with a mean absolute deviation of 0, mean absolute percentage error of 0.000029, and the sum of the absolute errors of 0.16.Please note that although there have been many attempts to predict Powerstorm 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 Powerstorm Holdings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Powerstorm Holdings Pink Sheet Forecast Pattern
| Backtest Powerstorm Holdings | Powerstorm Holdings Price Prediction | Buy or Sell Advice |
Powerstorm Holdings Forecasted Value
In the context of forecasting Powerstorm Holdings' 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. Powerstorm Holdings' downside and upside margins for the forecasting period are 0.0001 and 8.08, respectively. We have considered Powerstorm Holdings' 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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Powerstorm Holdings pink sheet data series using in forecasting. Note that when a statistical model is used to represent Powerstorm Holdings 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 | 70.9156 |
| Bias | Arithmetic mean of the errors | 0.0025 |
| MAD | Mean absolute deviation | 0.004 |
| MAPE | Mean absolute percentage error | 0.3211 |
| SAE | Sum of the absolute errors | 0.1623 |
Predictive Modules for Powerstorm Holdings
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Powerstorm Holdings. 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 Powerstorm Holdings' 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 Powerstorm Holdings
For every potential investor in Powerstorm, whether a beginner or expert, Powerstorm Holdings' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Powerstorm Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Powerstorm. Basic forecasting techniques help filter out the noise by identifying Powerstorm Holdings' price trends.Powerstorm Holdings 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 Powerstorm Holdings pink sheet to make a market-neutral strategy. Peer analysis of Powerstorm Holdings could also be used in its relative valuation, which is a method of valuing Powerstorm Holdings by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Powerstorm Holdings 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 Powerstorm Holdings' 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 Powerstorm Holdings' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Powerstorm Holdings Market Strength Events
Market strength indicators help investors to evaluate how Powerstorm Holdings 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 Powerstorm Holdings shares will generate the highest return on investment. By undertsting and applying Powerstorm Holdings pink sheet market strength indicators, traders can identify Powerstorm Holdings entry and exit signals to maximize returns.
Powerstorm Holdings Risk Indicators
The analysis of Powerstorm Holdings' 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 Powerstorm Holdings' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting powerstorm 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 | 2.41 | |||
| Standard Deviation | 8.0 | |||
| Variance | 64.01 |
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 Powerstorm Holdings
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 Powerstorm Holdings 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 Powerstorm Holdings will appreciate offsetting losses from the drop in the long position's value.Moving together with Powerstorm Pink Sheet
Moving against Powerstorm Pink Sheet
| 0.86 | FUWAF | Furukawa Electric | PairCorr |
| 0.75 | FMCB | Farmers Merchants Bancorp | PairCorr |
| 0.73 | VRT | Vertiv Holdings | PairCorr |
| 0.7 | ABB | Drone Delivery Canada | PairCorr |
| 0.64 | MIELF | Mitsubishi Electric | PairCorr |
The ability to find closely correlated positions to Powerstorm Holdings could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Powerstorm Holdings 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 Powerstorm Holdings - 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 Powerstorm Holdings to buy it.
The correlation of Powerstorm Holdings 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 Powerstorm Holdings moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Powerstorm Holdings 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 Powerstorm Holdings 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 Powerstorm Pink Sheet
Powerstorm Holdings financial ratios help investors to determine whether Powerstorm 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 Powerstorm with respect to the benefits of owning Powerstorm Holdings security.