Kasten Pink Sheet Forecast - 8 Period Moving Average
| KAST Stock | USD 0.01 0 57.89% |
The 8 Period Moving Average forecasted value of Kasten Inc on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0009 and the sum of the absolute errors of 0.05. Kasten Pink Sheet Forecast is based on your current time horizon.
Kasten |
Kasten 8 Period Moving Average Price Forecast For the 27th of December
Given 90 days horizon, the 8 Period Moving Average forecasted value of Kasten Inc on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0009, mean absolute percentage error of 0.00000133, and the sum of the absolute errors of 0.05.Please note that although there have been many attempts to predict Kasten 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 Kasten's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Kasten Pink Sheet Forecast Pattern
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Kasten Forecasted Value
In the context of forecasting Kasten'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. Kasten's downside and upside margins for the forecasting period are 0.00006 and 19.03, respectively. We have considered Kasten'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 Kasten pink sheet data series using in forecasting. Note that when a statistical model is used to represent Kasten 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 | 89.8803 |
| Bias | Arithmetic mean of the errors | -1.0E-4 |
| MAD | Mean absolute deviation | 9.0E-4 |
| MAPE | Mean absolute percentage error | 0.1549 |
| SAE | Sum of the absolute errors | 0.0462 |
Predictive Modules for Kasten
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Kasten Inc. 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 Kasten'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 Kasten
For every potential investor in Kasten, whether a beginner or expert, Kasten's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Kasten Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Kasten. Basic forecasting techniques help filter out the noise by identifying Kasten's price trends.Kasten 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 Kasten pink sheet to make a market-neutral strategy. Peer analysis of Kasten could also be used in its relative valuation, which is a method of valuing Kasten by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Kasten Inc 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 Kasten'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 Kasten's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Kasten Market Strength Events
Market strength indicators help investors to evaluate how Kasten 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 Kasten shares will generate the highest return on investment. By undertsting and applying Kasten pink sheet market strength indicators, traders can identify Kasten Inc entry and exit signals to maximize returns.
| Accumulation Distribution | 0.32 | |||
| Daily Balance Of Power | 1.157895 | |||
| Rate Of Daily Change | 1.58 | |||
| Day Median Price | 0.0051 | |||
| Day Typical Price | 0.0054 | |||
| Market Facilitation Index | 0.0019 | |||
| Price Action Indicator | 0.0021 | |||
| Period Momentum Indicator | 0.0022 | |||
| Relative Strength Index | 44.11 |
Kasten Risk Indicators
The analysis of Kasten'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 Kasten's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting kasten 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 | 10.76 | |||
| Semi Deviation | 10.98 | |||
| Standard Deviation | 18.73 | |||
| Variance | 350.91 | |||
| Downside Variance | 488.36 | |||
| Semi Variance | 120.56 | |||
| Expected Short fall | (28.82) |
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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Additional Tools for Kasten Pink Sheet Analysis
When running Kasten's price analysis, check to measure Kasten'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 Kasten is operating at the current time. Most of Kasten's value examination focuses on studying past and present price action to predict the probability of Kasten's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Kasten's price. Additionally, you may evaluate how the addition of Kasten to your portfolios can decrease your overall portfolio volatility.