Applied Industrial Stock Forecast - Naive Prediction
| AIT Stock | USD 260.80 4.59 1.73% |
The Naive Prediction forecasted value of Applied Industrial Technologies on the next trading day is expected to be 259.62 with a mean absolute deviation of 3.26 and the sum of the absolute errors of 201.99. Applied Stock Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Applied Industrial's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Quarterly Earnings Growth 0.114 | EPS Estimate Next Quarter 2.5638 | EPS Estimate Current Year 10.6725 | EPS Estimate Next Year 11.59 | Wall Street Target Price 304.1667 |
Using Applied Industrial hype-based prediction, you can estimate the value of Applied Industrial Technologies from the perspective of Applied Industrial response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Applied Industrial using Applied Industrial's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Applied using crowd psychology based on the activity and movement of Applied Industrial's stock price.
Applied Industrial Short Interest
An investor who is long Applied Industrial may also wish to track short interest. As short interest increases, investors should be becoming more worried about Applied Industrial and may potentially protect profits, hedge Applied Industrial with its derivative instruments, or be ready for some potential downside.
200 Day MA 248.3476 | Short Percent 0.0283 | Short Ratio 3.49 | Shares Short Prior Month 834.2 K | 50 Day MA 257.1984 |
Applied Industrial Hype to Price Pattern
Investor biases related to Applied Industrial's public news can be used to forecast risks associated with an investment in Applied. The trend in average sentiment can be used to explain how an investor holding Applied can time the market purely based on public headlines and social activities around Applied Industrial Technologies. 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 Applied Industrial's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Applied Industrial.
Applied Industrial Implied Volatility | 0.41 |
Applied Industrial's implied volatility exposes the market's sentiment of Applied Industrial Technologies stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Applied Industrial'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 Applied Industrial stock will not fluctuate a lot when Applied Industrial's options are near their expiration.
The Naive Prediction forecasted value of Applied Industrial Technologies on the next trading day is expected to be 259.62 with a mean absolute deviation of 3.26 and the sum of the absolute errors of 201.99. Applied Industrial after-hype prediction price | USD 260.46 |
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 Historical Fundamental Analysis of Applied Industrial to cross-verify your projections. Open Interest Against 2026-02-20 Applied Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Applied Industrial'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 Applied Industrial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Applied Industrial 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 Applied Industrial's open interest, investors have to compare it to Applied Industrial'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 Applied Industrial 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 Applied. 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.
Applied Industrial Additional Predictive Modules
Most predictive techniques to examine Applied price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Applied using various technical indicators. When you analyze Applied 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Applied Industrial's financial statements to predict how it will affect future prices.
Cash | First Reported 1986-06-30 | Previous Quarter 388.4 M | Current Value 418.7 M | Quarterly Volatility 107.4 M |
Applied Industrial Naive Prediction Price Forecast For the 9th of January
Given 90 days horizon, the Naive Prediction forecasted value of Applied Industrial Technologies on the next trading day is expected to be 259.62 with a mean absolute deviation of 3.26, mean absolute percentage error of 16.44, and the sum of the absolute errors of 201.99.Please note that although there have been many attempts to predict Applied 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 Applied Industrial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Applied Industrial Stock Forecast Pattern
| Backtest Applied Industrial | Applied Industrial Price Prediction | Buy or Sell Advice |
Applied Industrial Forecasted Value
In the context of forecasting Applied Industrial'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. Applied Industrial's downside and upside margins for the forecasting period are 258.28 and 260.95, respectively. We have considered Applied Industrial'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Applied Industrial stock data series using in forecasting. Note that when a statistical model is used to represent Applied Industrial 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 | 122.7479 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.2579 |
| MAPE | Mean absolute percentage error | 0.0129 |
| SAE | Sum of the absolute errors | 201.9871 |
Predictive Modules for Applied Industrial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Applied Industrial. 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 Applied Industrial
For every potential investor in Applied, whether a beginner or expert, Applied Industrial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Applied Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Applied. Basic forecasting techniques help filter out the noise by identifying Applied Industrial's price trends.Applied Industrial 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 Applied Industrial stock to make a market-neutral strategy. Peer analysis of Applied Industrial could also be used in its relative valuation, which is a method of valuing Applied Industrial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Applied Industrial 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 Applied Industrial'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 Applied Industrial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Applied Industrial Market Strength Events
Market strength indicators help investors to evaluate how Applied Industrial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Applied Industrial shares will generate the highest return on investment. By undertsting and applying Applied Industrial stock market strength indicators, traders can identify Applied Industrial Technologies entry and exit signals to maximize returns.
| Accumulation Distribution | 6710.1 | |||
| Daily Balance Of Power | (0.57) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 261.4 | |||
| Day Typical Price | 261.2 | |||
| Price Action Indicator | (2.90) | |||
| Period Momentum Indicator | (4.59) |
Applied Industrial Risk Indicators
The analysis of Applied Industrial'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 Applied Industrial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting applied 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 | 1.04 | |||
| Semi Deviation | 1.36 | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.86 | |||
| Downside Variance | 2.01 | |||
| Semi Variance | 1.85 | |||
| Expected Short fall | (0.98) |
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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Additional Tools for Applied Stock Analysis
When running Applied Industrial's price analysis, check to measure Applied Industrial'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 Applied Industrial is operating at the current time. Most of Applied Industrial's value examination focuses on studying past and present price action to predict the probability of Applied Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Industrial's price. Additionally, you may evaluate how the addition of Applied Industrial to your portfolios can decrease your overall portfolio volatility.