SS Innovations Stock Forward View - Simple Regression
| SSII Stock | 4.86 0.03 0.62% |
The Simple Regression forecast shown here for SS Innovations is reference data produced from its historical price series. The projected value and error measures below serve as reference information. This data is provided for reference and analytical review. The Simple Regression output serves as one input among many for analytical review.
The Simple Regression forecasted value of SS Innovations International on the next trading day is projected to be 4.35 with a mean absolute deviation of 0.48 and the sum of the absolute errors of 29.10.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as SS Innovations International historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. This Simple Regression reference page for SS Innovations presents model-generated projections from historical price data for informational purposes. Simple Regression Price Forecast For the 26th of March
Given 90 days horizon, the Simple Regression forecasted value of SS Innovations International on the next trading day is expected to be 4.35 with a mean absolute deviation of 0.48 , mean absolute percentage error of 0.34 , and the sum of the absolute errors of 29.10 .Please note that although there have been many attempts to predict SSII Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that SS Innovations' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest SS Innovations | SS Innovations Price Prediction | Research Analysis |
Forecasted Value
For the next trading day, Macroaxis evaluates SS Innovations' predictive range by looking for statistically meaningful downside and upside boundaries. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
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 SS Innovations stock data series using in forecasting. Note that when a statistical model is used to represent SS Innovations 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 | 117.046 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4771 |
| MAPE | Mean absolute percentage error | 0.107 |
| SAE | Sum of the absolute errors | 29.1048 |
Other Forecasting Options for SS Innovations
The distribution of SS Innovations' daily returns is typically non-normal, with fatter tails than a Gaussian model predicts. This can reveal hidden support and resistance zones in SS Innovations' chart that simple price charts miss. The slope of SS Innovations' linear regression channel quantifies trend direction and strength over a chosen lookback period. Divergences between OBV and price can foreshadow trend changes in SSII.SS Innovations Related Equities
These stocks within the Health Care space are often compared to SS Innovations by analysts and fund managers in the sector. Revenue and margin checks across this group help investors set expectations for SS Innovations' results. Peer pricing works best when the firms compared share similar business models and end markets.
| Risk & Return | Correlation |
SS Innovations Market Strength Events
Market strength indicators for SS Innovations give insight into the stock's responsiveness to broader forces. These indicators are useful for traders seeking optimal timing for positions in SS Innovations International. Market strength analysis for SS Innovations International works best when combined with volume and volatility data. For SS Innovations, strength indicators are a practical complement to price and fundamental analysis.
| Accumulation Distribution | 716.02 | |||
| Daily Balance Of Power | 0.2308 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 4.89 | |||
| Day Typical Price | 4.88 | |||
| Price Action Indicator | -0.01 | |||
| Period Momentum Indicator | 0.03 |
SS Innovations Risk Indicators
A thorough review of SS Innovations' risk indicators is an important first step in forecasting its price. Quantifying the risk involved in SS Innovations' allows investors to make better decisions about entry, sizing, and hedging. The assessment of SS Innovations' risk indicators plays a key role in managing investment exposure. Identifying the magnitude of risk in SS Innovations' provides context to choose between accepting or hedging exposure.
| Mean Deviation | 5.54 | |||
| Standard Deviation | 7.46 | |||
| Variance | 55.7 |
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.
Story Coverage note for SS Innovations
A coverage review of SS Innovations International shows when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage separates durable relevance from temporary noise.
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SS Innovations Short Properties
Short sentiment tied to SS Innovations International matters because heavier bearish pressure can change how quickly future price expectations become unstable. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
| Common Stock Shares Outstanding | 198.7 M | |
| Cash And Short Term Investments | 3.2 M |