Senkadagala Finance Stock Forecast - Polynomial Regression
| SFCLN0000 | 375.00 10.00 2.60% |
The Polynomial Regression forecasted value of Senkadagala Finance PLC on the next trading day is expected to be 406.34 with a mean absolute deviation of 14.44 and the sum of the absolute errors of 880.74. Senkadagala Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Senkadagala Finance stock prices and determine the direction of Senkadagala Finance PLC's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Senkadagala Finance's historical fundamentals, such as revenue growth or operating cash flow patterns.
Senkadagala |
Senkadagala Finance Polynomial Regression Price Forecast For the 14th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Senkadagala Finance PLC on the next trading day is expected to be 406.34 with a mean absolute deviation of 14.44, mean absolute percentage error of 317.26, and the sum of the absolute errors of 880.74.Please note that although there have been many attempts to predict Senkadagala 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 Senkadagala Finance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Senkadagala Finance Stock Forecast Pattern
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Senkadagala Finance stock data series using in forecasting. Note that when a statistical model is used to represent Senkadagala Finance 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 | 123.8702 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 14.4384 |
| MAPE | Mean absolute percentage error | 0.037 |
| SAE | Sum of the absolute errors | 880.7412 |
Predictive Modules for Senkadagala Finance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Senkadagala Finance PLC. 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.Senkadagala Finance 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 Senkadagala Finance stock to make a market-neutral strategy. Peer analysis of Senkadagala Finance could also be used in its relative valuation, which is a method of valuing Senkadagala Finance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Senkadagala Finance Market Strength Events
Market strength indicators help investors to evaluate how Senkadagala Finance stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Senkadagala Finance shares will generate the highest return on investment. By undertsting and applying Senkadagala Finance stock market strength indicators, traders can identify Senkadagala Finance PLC entry and exit signals to maximize returns.
| Accumulation Distribution | 0.026 | |||
| Daily Balance Of Power | (1.00) | |||
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 380.0 | |||
| Day Typical Price | 378.33 | |||
| Market Facilitation Index | 10.0 | |||
| Price Action Indicator | (10.00) | |||
| Period Momentum Indicator | (10.00) |
Senkadagala Finance Risk Indicators
The analysis of Senkadagala Finance'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 Senkadagala Finance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting senkadagala 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 | 0.9657 | |||
| Standard Deviation | 2.65 | |||
| Variance | 7.02 |
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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Senkadagala Finance financial ratios help investors to determine whether Senkadagala 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 Senkadagala with respect to the benefits of owning Senkadagala Finance security.