Radcom Stock Forward View - Double Exponential Smoothing

RDCM Stock  USD 10.84  -0.33  -2.95%   
Radcom's Double Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for Radcom. This page is updated as new daily closing prices become available for Radcom.
The Double Exponential Smoothing forecasted value of Radcom on the next trading day is expected to be 10.80 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.51.When Radcom prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Radcom trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Radcom observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for Radcom are reference data reflecting model output based on available historical prices.
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 Radcom works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Radcom on the next trading day is expected to be 10.80 with a mean absolute deviation of 0.21 , mean absolute percentage error of 0.08 , and the sum of the absolute errors of 12.51 .
Please note that although there have been many attempts to predict Radcom 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 Radcom's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Radcom  Radcom Price Prediction  Research Analysis  

Forecasted Value

For the next trading day, Macroaxis evaluates Radcom's predictive range by looking for statistically meaningful downside and upside boundaries. At the moment, the model places downside around 8.55 and upside around 13.05 for the forecasting period.
Market Value
10.84
10.80
Expected Value
13.05
Upside

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 Radcom stock data series using in forecasting. Note that when a statistical model is used to represent Radcom 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors -0.0502
MADMean absolute deviation0.2121
MAPEMean absolute percentage error0.0177
SAESum of the absolute errors12.5145
When Radcom prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Radcom trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Radcom observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Radcom

Bollinger Bands applied to Radcom Stock price data measure how far Radcom has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Radcom's price data. On-balance volume for Radcom Stock creates a running indicator of buying versus selling pressure in Radcom. Price departures from the channel boundary often mean-revert, offering tactical signals for Radcom's.

Radcom Related Equities

These firms work in a similar space as Radcom within the Information Technology space and serve as useful points for comparison. Checking cash flow across this peer set helps gauge Radcom's relative financial strength. Peer pricing works best when the firms compared share similar business models and end markets. These links can also guide portfolio spreading choices within the sector.
 Risk & Return  Correlation

Radcom Market Strength Events

For investors tracking Radcom, market strength indicators offer quantitative evaluation of stock behavior. These indicators add context to timing decisions around Radcom positions. These indicators capture shifts in momentum that may precede significant price moves in Radcom. These metrics provide actionable context for both entry and risk management decisions around Radcom.

Radcom Risk Indicators

Analyzing Radcom's basic risk indicators provides investors with a structured view of the risk-return trade-off for radcom stock. By identifying the level of risk embedded in Radcom's investment, investors can make informed decisions about position sizing. Analyzing Radcom's risk indicators gives investors important context for price forecasting. Understanding the risk in Radcom's investment allows investors to make informed choices about mitigating exposure.
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 Radcom

The amount of media and story coverage tied to Radcom can signal where market attention is concentrating at the moment. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

Radcom Short Properties

Short sentiment tied to Radcom 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 Outstanding16.8 M
Cash And Short Term Investments109.9 M

More Resources for Radcom Stock Analysis

A broader look at Radcom comes from its financial reports and historical data. Highlighted below are reports that provide context for Radcom Stock: