Turk Hava Pink Sheet Forecast - 4 Period Moving Average
| TKHVY Stock | USD 89.97 5.10 6.01% |
The 4 Period Moving Average forecasted value of Turk Hava Yollari on the next trading day is expected to be 89.97 with a mean absolute deviation of 0.99 and the sum of the absolute errors of 56.66. Turk Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Turk Hava stock prices and determine the direction of Turk Hava Yollari's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Turk Hava's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Turk Hava to cross-verify your projections. Turk |
Most investors in Turk Hava cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Turk Hava's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Turk Hava's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for Turk Hava Yollari is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility. Turk Hava 4 Period Moving Average Price Forecast For the 20th of April
Given 90 days horizon, the 4 Period Moving Average forecasted value of Turk Hava Yollari on the next trading day is expected to be 89.97 with a mean absolute deviation of 0.99, mean absolute percentage error of 4.59, and the sum of the absolute errors of 56.66.Please note that although there have been many attempts to predict Turk 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 Turk Hava's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Turk Hava Pink Sheet Forecast Pattern
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Turk Hava Forecasted Value
In the context of forecasting Turk Hava'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. Turk Hava's downside and upside margins for the forecasting period are 88.15 and 91.79, respectively. We have considered Turk Hava'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 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Turk Hava pink sheet data series using in forecasting. Note that when a statistical model is used to represent Turk Hava 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 | 112.2827 |
| Bias | Arithmetic mean of the errors | -0.1066 |
| MAD | Mean absolute deviation | 0.994 |
| MAPE | Mean absolute percentage error | 0.0111 |
| SAE | Sum of the absolute errors | 56.66 |
Predictive Modules for Turk Hava
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Turk Hava Yollari. 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 Turk Hava'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 Turk Hava
For every potential investor in Turk, whether a beginner or expert, Turk Hava's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Turk Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Turk. Basic forecasting techniques help filter out the noise by identifying Turk Hava's price trends.Turk Hava 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 Turk Hava pink sheet to make a market-neutral strategy. Peer analysis of Turk Hava could also be used in its relative valuation, which is a method of valuing Turk Hava by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Turk Hava Yollari 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 Turk Hava'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 Turk Hava's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Turk Hava Market Strength Events
Market strength indicators help investors to evaluate how Turk Hava 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 Turk Hava shares will generate the highest return on investment. By undertsting and applying Turk Hava pink sheet market strength indicators, traders can identify Turk Hava Yollari entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.06 | |||
| Day Median Price | 89.97 | |||
| Day Typical Price | 89.97 | |||
| Price Action Indicator | 2.55 | |||
| Period Momentum Indicator | 5.1 | |||
| Relative Strength Index | 23.61 |
Turk Hava Risk Indicators
The analysis of Turk Hava'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 Turk Hava's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting turk 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 | 0.4942 | |||
| Standard Deviation | 1.77 | |||
| Variance | 3.12 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Turk Hava in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Turk Hava's short interest history, or implied volatility extrapolated from Turk Hava options trading.
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Check out Historical Fundamental Analysis of Turk Hava to cross-verify your projections. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Complementary Tools for Turk Pink Sheet analysis
When running Turk Hava's price analysis, check to measure Turk Hava'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 Turk Hava is operating at the current time. Most of Turk Hava's value examination focuses on studying past and present price action to predict the probability of Turk Hava's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Turk Hava's price. Additionally, you may evaluate how the addition of Turk Hava to your portfolios can decrease your overall portfolio volatility.
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