SI-TECH Information Stock Forecast - Simple Regression
| 300608 Stock | 13.24 0.14 1.05% |
The Simple Regression forecasted value of SI TECH Information Technology on the next trading day is expected to be 10.33 with a mean absolute deviation of 0.84 and the sum of the absolute errors of 51.41. SI-TECH Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SI-TECH Information stock prices and determine the direction of SI TECH Information Technology's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SI-TECH Information's historical fundamentals, such as revenue growth or operating cash flow patterns.
SI-TECH |
SI-TECH Information Simple Regression Price Forecast For the 6th of February
Given 90 days horizon, the Simple Regression forecasted value of SI TECH Information Technology on the next trading day is expected to be 10.33 with a mean absolute deviation of 0.84, mean absolute percentage error of 1.00, and the sum of the absolute errors of 51.41.Please note that although there have been many attempts to predict SI-TECH 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 SI-TECH Information's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SI-TECH Information Stock Forecast Pattern
| Backtest SI-TECH Information | SI-TECH Information Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of SI-TECH Information stock data series using in forecasting. Note that when a statistical model is used to represent SI-TECH Information 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 | 118.1145 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.8428 |
| MAPE | Mean absolute percentage error | 0.071 |
| SAE | Sum of the absolute errors | 51.4136 |
Predictive Modules for SI-TECH Information
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SI TECH Information. 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.SI-TECH Information 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 SI-TECH Information stock to make a market-neutral strategy. Peer analysis of SI-TECH Information could also be used in its relative valuation, which is a method of valuing SI-TECH Information by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SI-TECH Information Market Strength Events
Market strength indicators help investors to evaluate how SI-TECH Information stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading SI-TECH Information shares will generate the highest return on investment. By undertsting and applying SI-TECH Information stock market strength indicators, traders can identify SI TECH Information Technology entry and exit signals to maximize returns.
| Accumulation Distribution | 5.4 M | |||
| Daily Balance Of Power | (0.1) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 13.55 | |||
| Day Typical Price | 13.45 | |||
| Price Action Indicator | (0.38) | |||
| Period Momentum Indicator | (0.14) |
SI-TECH Information Risk Indicators
The analysis of SI-TECH Information'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 SI-TECH Information's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting si-tech 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 | 3.32 | |||
| Semi Deviation | 4.68 | |||
| Standard Deviation | 4.72 | |||
| Variance | 22.27 | |||
| Downside Variance | 23.51 | |||
| Semi Variance | 21.88 | |||
| Expected Short fall | (3.23) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in SI-TECH Stock
SI-TECH Information financial ratios help investors to determine whether SI-TECH Stock 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 SI-TECH with respect to the benefits of owning SI-TECH Information security.