Allegheny Technologies Incorporated Stock Technical Analysis
| ATI Stock | USD 99.37 0.81 0.82% |
As of the 16th of November 2025, Allegheny Technologies shows the Mean Deviation of 1.87, risk adjusted performance of 0.1302, and Downside Deviation of 1.82. Allegheny Technologies technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Allegheny Technologies Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Allegheny, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AlleghenyAllegheny | Build AI portfolio with Allegheny Stock |
Allegheny Technologies Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 118.25 | Strong Buy | 11 | Odds |
Most Allegheny analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Allegheny stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Allegheny Technologies, talking to its executives and customers, or listening to Allegheny conference calls.
Allegheny Technologies technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Allegheny Technologies Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Allegheny Technologies volatility developed by Welles Wilder.
Allegheny Technologies Trend Analysis
Use this graph to draw trend lines for Allegheny Technologies Incorporated. You can use it to identify possible trend reversals for Allegheny Technologies as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Allegheny Technologies price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Allegheny Technologies Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Allegheny Technologies Incorporated applied against its price change over selected period. The best fit line has a slop of 0.44 , which may imply that Allegheny Technologies Incorporated will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 7347.19, which is the sum of squared deviations for the predicted Allegheny Technologies price change compared to its average price change.About Allegheny Technologies Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Allegheny Technologies Incorporated on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Allegheny Technologies Incorporated based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Allegheny Technologies price pattern first instead of the macroeconomic environment surrounding Allegheny Technologies. By analyzing Allegheny Technologies's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Allegheny Technologies's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Allegheny Technologies specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2024 | 2025 (projected) | PTB Ratio | 3.82 | 2.05 | Dividend Yield | 0.0174 | 0.0165 |
Allegheny Technologies November 16, 2025 Technical Indicators
Most technical analysis of Allegheny help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Allegheny from various momentum indicators to cycle indicators. When you analyze Allegheny charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | 0.1302 | |||
| Market Risk Adjusted Performance | 0.3955 | |||
| Mean Deviation | 1.87 | |||
| Semi Deviation | 1.51 | |||
| Downside Deviation | 1.82 | |||
| Coefficient Of Variation | 526.66 | |||
| Standard Deviation | 2.52 | |||
| Variance | 6.33 | |||
| Information Ratio | 0.1598 | |||
| Jensen Alpha | 0.388 | |||
| Total Risk Alpha | 0.212 | |||
| Sortino Ratio | 0.2206 | |||
| Treynor Ratio | 0.3855 | |||
| Maximum Drawdown | 11.62 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 4.54 | |||
| Downside Variance | 3.32 | |||
| Semi Variance | 2.29 | |||
| Expected Short fall | (2.27) | |||
| Skewness | 1.07 | |||
| Kurtosis | 1.81 |
Allegheny Technologies November 16, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Allegheny stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.05 | ||
| Daily Balance Of Power | 0.16 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 97.81 | ||
| Day Typical Price | 98.33 | ||
| Price Action Indicator | 1.97 | ||
| Market Facilitation Index | 5.21 |
Complementary Tools for Allegheny Stock analysis
When running Allegheny Technologies' price analysis, check to measure Allegheny Technologies' 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 Allegheny Technologies is operating at the current time. Most of Allegheny Technologies' value examination focuses on studying past and present price action to predict the probability of Allegheny Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Allegheny Technologies' price. Additionally, you may evaluate how the addition of Allegheny Technologies to your portfolios can decrease your overall portfolio volatility.
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
| Stocks Directory Find actively traded stocks across global markets | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data |