Airship AI Stock Forecast - Naive Prediction
| AISP Stock | 3.50 0.05 1.41% |
The Naive Prediction forecasted value of Airship AI Holdings on the next trading day is expected to be 3.77 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.59. Airship Stock Forecast is based on your current time horizon. Although Airship AI's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Airship AI's systematic risk associated with finding meaningful patterns of Airship AI fundamentals over time.
Airship |
Airship AI Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Airship AI's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2010-12-31 | Previous Quarter 3.1 M | Current Value 1.7 M | Quarterly Volatility 556.6 K |
Airship AI Naive Prediction Price Forecast For the 12th of December 2024
Given 90 days horizon, the Naive Prediction forecasted value of Airship AI Holdings on the next trading day is expected to be 3.77 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.08, and the sum of the absolute errors of 11.59.Please note that although there have been many attempts to predict Airship Stock 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 Airship AI's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Airship AI Stock Forecast Pattern
| Backtest Airship AI | Airship AI Price Prediction | Buy or Sell Advice |
Airship AI Forecasted Value
In the context of forecasting Airship AI's Stock 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. Airship AI's downside and upside margins for the forecasting period are 0.04 and 11.05, respectively. We have considered Airship AI'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 Airship AI stock data series using in forecasting. Note that when a statistical model is used to represent Airship AI stock, 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 | 115.5246 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1899 |
| MAPE | Mean absolute percentage error | 0.0739 |
| SAE | Sum of the absolute errors | 11.5851 |
Predictive Modules for Airship AI
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Airship AI Holdings. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Airship AI'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 Airship AI
For every potential investor in Airship, whether a beginner or expert, Airship AI's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Airship Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Airship. Basic forecasting techniques help filter out the noise by identifying Airship AI's price trends.Airship AI 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 Airship AI stock to make a market-neutral strategy. Peer analysis of Airship AI could also be used in its relative valuation, which is a method of valuing Airship AI by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Airship AI Holdings Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Airship AI'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 Airship AI's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Volume Indicators |
Airship AI Market Strength Events
Market strength indicators help investors to evaluate how Airship AI stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Airship AI shares will generate the highest return on investment. By undertsting and applying Airship AI stock market strength indicators, traders can identify Airship AI Holdings entry and exit signals to maximize returns.
Airship AI Risk Indicators
The analysis of Airship AI'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 Airship AI's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting airship stock 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 | 4.92 | |||
| Semi Deviation | 5.2 | |||
| Standard Deviation | 7.17 | |||
| Variance | 51.48 | |||
| Downside Variance | 34.55 | |||
| Semi Variance | 27.0 | |||
| Expected Short fall | (6.03) |
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 Airship AI
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 Airship AI 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 Airship AI will appreciate offsetting losses from the drop in the long position's value.Moving against Airship Stock
| 0.65 | MQ | Marqeta | PairCorr |
| 0.62 | VERI | Veritone | PairCorr |
| 0.6 | VRNS | Varonis Systems | PairCorr |
| 0.56 | FAAS | DigiAsia Corp Symbol Change | PairCorr |
| 0.47 | DOCN | DigitalOcean Holdings | PairCorr |
The ability to find closely correlated positions to Airship AI could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Airship AI 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 Airship AI - 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 Airship AI Holdings to buy it.
The correlation of Airship AI 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 Airship AI moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Airship AI 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 Airship AI 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.Additional Tools for Airship Stock Analysis
When running Airship AI's price analysis, check to measure Airship AI'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 Airship AI is operating at the current time. Most of Airship AI's value examination focuses on studying past and present price action to predict the probability of Airship AI's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Airship AI's price. Additionally, you may evaluate how the addition of Airship AI to your portfolios can decrease your overall portfolio volatility.