TINC Comm Stock Forecast - Double Exponential Smoothing
| TINC Stock | EUR 11.84 0.16 1.33% |
The Double Exponential Smoothing forecasted value of TINC Comm VA on the next trading day is expected to be 11.86 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.78. TINC Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast TINC Comm stock prices and determine the direction of TINC Comm VA's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of TINC Comm's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of TINC Comm to cross-verify your projections. TINC |
Most investors in TINC Comm 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 TINC Comm's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets TINC Comm's price structures and extracts relationships that further increase the generated results' accuracy.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for TINC Comm works best with periods where there are trends or seasonality. TINC Comm Double Exponential Smoothing Price Forecast For the 1st of June
Given 90 days horizon, the Double Exponential Smoothing forecasted value of TINC Comm VA on the next trading day is expected to be 11.86 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.78.Please note that although there have been many attempts to predict TINC 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 TINC Comm's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
TINC Comm Stock Forecast Pattern
| Backtest TINC Comm | TINC Comm Price Prediction | Buy or Sell Advice |
TINC Comm Forecasted Value
In the context of forecasting TINC Comm'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. TINC Comm's downside and upside margins for the forecasting period are 10.69 and 13.02, respectively. We have considered TINC Comm'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of TINC Comm stock data series using in forecasting. Note that when a statistical model is used to represent TINC Comm 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 | Huge |
| Bias | Arithmetic mean of the errors | 0.0269 |
| MAD | Mean absolute deviation | 0.115 |
| MAPE | Mean absolute percentage error | 0.0098 |
| SAE | Sum of the absolute errors | 6.7824 |
Predictive Modules for TINC Comm
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TINC Comm VA. 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 TINC Comm'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 TINC Comm
For every potential investor in TINC, whether a beginner or expert, TINC Comm's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. TINC Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in TINC. Basic forecasting techniques help filter out the noise by identifying TINC Comm's price trends.TINC Comm 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 TINC Comm stock to make a market-neutral strategy. Peer analysis of TINC Comm could also be used in its relative valuation, which is a method of valuing TINC Comm by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
TINC Comm VA 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 TINC Comm'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 TINC Comm's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
TINC Comm Market Strength Events
Market strength indicators help investors to evaluate how TINC Comm stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading TINC Comm shares will generate the highest return on investment. By undertsting and applying TINC Comm stock market strength indicators, traders can identify TINC Comm VA entry and exit signals to maximize returns.
| Accumulation Distribution | 684.24 | |||
| Daily Balance Of Power | (0.73) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 11.87 | |||
| Day Typical Price | 11.86 | |||
| Price Action Indicator | (0.11) | |||
| Period Momentum Indicator | (0.16) |
TINC Comm Risk Indicators
The analysis of TINC Comm'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 TINC Comm's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tinc 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 | 0.8904 | |||
| Semi Deviation | 1.04 | |||
| Standard Deviation | 1.17 | |||
| Variance | 1.38 | |||
| Downside Variance | 1.47 | |||
| Semi Variance | 1.08 | |||
| Expected Short fall | (0.97) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of TINC Comm to cross-verify your projections. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Complementary Tools for TINC Stock analysis
When running TINC Comm's price analysis, check to measure TINC Comm'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 TINC Comm is operating at the current time. Most of TINC Comm's value examination focuses on studying past and present price action to predict the probability of TINC Comm's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move TINC Comm's price. Additionally, you may evaluate how the addition of TINC Comm to your portfolios can decrease your overall portfolio volatility.
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Commodity Directory Find actively traded commodities issued by global exchanges | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account |