Forrester Research Stock Forecast - Triple Exponential Smoothing
| FORR Stock | USD 15.53 0.05 0.32% |
The Triple Exponential Smoothing forecasted value of Forrester Research on the next trading day is expected to be 15.51 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 15.01. Forrester Stock Forecast is based on your current time horizon. Although Forrester Research's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Forrester Research's systematic risk associated with finding meaningful patterns of Forrester Research fundamentals over time.
Forrester |
Open Interest Against 2025-03-21 Forrester Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Forrester Research'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 Forrester Research's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Forrester Research 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 Forrester Research's open interest, investors have to compare it to Forrester Research'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 Forrester Research 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 Forrester. 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.
Forrester Research Triple Exponential Smoothing Price Forecast For the 31st of January
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Forrester Research on the next trading day is expected to be 15.51 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.11, and the sum of the absolute errors of 15.01.Please note that although there have been many attempts to predict Forrester 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 Forrester Research's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Forrester Research Stock Forecast Pattern
| Backtest Forrester Research | Forrester Research Price Prediction | Buy or Sell Advice |
Forrester Research Forecasted Value
In the context of forecasting Forrester Research's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Forrester Research's downside and upside margins for the forecasting period are 13.44 and 17.58, respectively. We have considered Forrester Research's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Forrester Research stock data series using in forecasting. Note that when a statistical model is used to represent Forrester Research 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0425 |
| MAD | Mean absolute deviation | 0.2545 |
| MAPE | Mean absolute percentage error | 0.016 |
| SAE | Sum of the absolute errors | 15.0135 |
Predictive Modules for Forrester Research
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Forrester Research. 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.Other Forecasting Options for Forrester Research
For every potential investor in Forrester, whether a beginner or expert, Forrester Research's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Forrester Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Forrester. Basic forecasting techniques help filter out the noise by identifying Forrester Research's price trends.Forrester Research 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 Forrester Research stock to make a market-neutral strategy. Peer analysis of Forrester Research could also be used in its relative valuation, which is a method of valuing Forrester Research by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Forrester Research Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Forrester Research's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Forrester Research's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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Forrester Research Market Strength Events
Market strength indicators help investors to evaluate how Forrester Research stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Forrester Research shares will generate the highest return on investment. By undertsting and applying Forrester Research stock market strength indicators, traders can identify Forrester Research entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 15.53 | |||
| Day Typical Price | 15.53 | |||
| Price Action Indicator | (0.03) | |||
| Period Momentum Indicator | (0.05) |
Forrester Research Risk Indicators
The analysis of Forrester Research'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 Forrester Research's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting forrester 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 | 1.56 | |||
| Semi Deviation | 2.11 | |||
| Standard Deviation | 2.08 | |||
| Variance | 4.31 | |||
| Downside Variance | 4.99 | |||
| Semi Variance | 4.46 | |||
| Expected Short fall | (1.50) |
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.
Pair Trading with Forrester Research
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Forrester Research position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Forrester Research will appreciate offsetting losses from the drop in the long position's value.Moving together with Forrester Stock
Moving against Forrester Stock
| 0.51 | LNZA | LanzaTech Global | PairCorr |
| 0.5 | OMEX | Odyssey Marine Explo | PairCorr |
| 0.47 | SMXWW | SMX Public Limited | PairCorr |
| 0.32 | HDSN | Hudson Technologies | PairCorr |
The ability to find closely correlated positions to Forrester Research could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Forrester Research when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Forrester Research - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Forrester Research to buy it.
The correlation of Forrester Research is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Forrester Research moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Forrester Research moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Forrester Research can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Forrester Stock Analysis
When running Forrester Research's price analysis, check to measure Forrester Research'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 Forrester Research is operating at the current time. Most of Forrester Research's value examination focuses on studying past and present price action to predict the probability of Forrester Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Forrester Research's price. Additionally, you may evaluate how the addition of Forrester Research to your portfolios can decrease your overall portfolio volatility.