IRobot Stock Forecast - Naive Prediction

IRBT Stock  USD 0.22  0.13  37.14%   
The Naive Prediction forecasted value of iRobot on the next trading day is expected to be -2.58 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 28.76. IRobot Stock Forecast is based on your current time horizon.
The relative strength index (RSI) of IRobot's share price is below 30 at this time. This usually indicates that the stock is becoming oversold or undervalued. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling iRobot, making its price go up or down.

Momentum 23

 Sell Stretched

 
Oversold
 
Overbought
The successful prediction of IRobot's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with iRobot, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting IRobot's stock price prediction:
Quarterly Earnings Growth
(0.37)
EPS Estimate Next Quarter
(0.72)
EPS Estimate Current Year
(2.02)
EPS Estimate Next Year
(0.33)
Wall Street Target Price
11.94
Using IRobot hype-based prediction, you can estimate the value of iRobot from the perspective of IRobot response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards IRobot using IRobot's stock options and short interest. It helps to benchmark the overall future attitude of investors towards IRobot using crowd psychology based on the activity and movement of IRobot's stock price.

IRobot Short Interest

An investor who is long IRobot may also wish to track short interest. As short interest increases, investors should be becoming more worried about IRobot and may potentially protect profits, hedge IRobot with its derivative instruments, or be ready for some potential downside.
200 Day MA
3.0676
Short Percent
0.4436
Short Ratio
5.17
Shares Short Prior Month
12.5 M
50 Day MA
2.027

iRobot Hype to Price Pattern

Investor biases related to IRobot's public news can be used to forecast risks associated with an investment in IRobot. The trend in average sentiment can be used to explain how an investor holding IRobot can time the market purely based on public headlines and social activities around iRobot. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of IRobot's market sentiment to its price can help taders to make decisions based on the overall investors consensus about IRobot.

IRobot Implied Volatility

    
  3.43  
IRobot's implied volatility exposes the market's sentiment of iRobot stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if IRobot's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that IRobot stock will not fluctuate a lot when IRobot's options are near their expiration.
The Naive Prediction forecasted value of iRobot on the next trading day is expected to be -2.58 with a mean absolute deviation of 0.47 and the sum of the absolute errors of 28.76.

IRobot after-hype prediction price

    
  USD 0.28  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of labor statistics.
At this time, IRobot's Inventory Turnover is comparatively stable compared to the past year. Payables Turnover is likely to gain to 5.71 in 2026, whereas Receivables Turnover is likely to drop 7.32 in 2026. . Common Stock Shares Outstanding is likely to drop to about 26.8 M in 2026. Net Loss is likely to gain to about (244.8 M) in 2026.

Open Interest Against 2026-03-20 IRobot Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast IRobot's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in IRobot's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for IRobot stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current IRobot's open interest, investors have to compare it to IRobot's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of IRobot is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in IRobot. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

IRobot Additional Predictive Modules

Most predictive techniques to examine IRobot price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for IRobot using various technical indicators. When you analyze IRobot charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the IRobot's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2003-12-31
Previous Quarter
40.6 M
Current Value
24.8 M
Quarterly Volatility
95.5 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for IRobot is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of iRobot value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

IRobot Naive Prediction Price Forecast For the 6th of January

Given 90 days horizon, the Naive Prediction forecasted value of iRobot on the next trading day is expected to be -2.58 with a mean absolute deviation of 0.47, mean absolute percentage error of 0.48, and the sum of the absolute errors of 28.76.
Please note that although there have been many attempts to predict IRobot 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 IRobot's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IRobot Stock Forecast Pattern

Backtest IRobotIRobot Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of IRobot stock data series using in forecasting. Note that when a statistical model is used to represent IRobot 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 Criteria117.3727
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4715
MAPEMean absolute percentage error0.3652
SAESum of the absolute errors28.7629
This model is not at all useful as a medium-long range forecasting tool of iRobot. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict IRobot. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for IRobot

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as iRobot. 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.
Hype
Prediction
LowEstimatedHigh
0.010.2821.24
Details
Intrinsic
Valuation
LowRealHigh
0.163.1524.11
Details
2 Analysts
Consensus
LowTargetHigh
10.8711.9413.25
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as IRobot. Your research has to be compared to or analyzed against IRobot's peers to derive any actionable benefits. When done correctly, IRobot's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in iRobot.

IRobot 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 IRobot stock to make a market-neutral strategy. Peer analysis of IRobot could also be used in its relative valuation, which is a method of valuing IRobot by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

IRobot Market Strength Events

Market strength indicators help investors to evaluate how IRobot stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading IRobot shares will generate the highest return on investment. By undertsting and applying IRobot stock market strength indicators, traders can identify iRobot entry and exit signals to maximize returns.

IRobot Risk Indicators

The analysis of IRobot'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 IRobot's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting irobot 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.
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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for IRobot Stock Analysis

When running IRobot's price analysis, check to measure IRobot'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 IRobot is operating at the current time. Most of IRobot's value examination focuses on studying past and present price action to predict the probability of IRobot's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move IRobot's price. Additionally, you may evaluate how the addition of IRobot to your portfolios can decrease your overall portfolio volatility.