Sterling Bancorp Stock Momentum Indicators Stochastic Relative Strength Index
SBT Stock | USD 4.84 0.05 1.04% |
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The output start index for this execution was nine with a total number of output elements of fifty-two. The Stochastic Relative Strength Index compares Sterling Bancorp closing price in relationship to its price range over a given period of time. When the Sterling Bancorp SRSI reaches up above the upper threshold line, the equity is considered overbought with anticipation a reversal of Sterling Bancorp trend.
Sterling Bancorp Technical Analysis Modules
Most technical analysis of Sterling Bancorp 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 Sterling from various momentum indicators to cycle indicators. When you analyze Sterling 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 |
About Sterling Bancorp Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Sterling Bancorp. We use our internally-developed statistical techniques to arrive at the intrinsic value of Sterling Bancorp based on widely used predictive technical indicators. In general, we focus on analyzing Sterling Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Sterling Bancorp's daily price indicators and compare them against related drivers, such as momentum indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Sterling Bancorp's intrinsic value. In addition to deriving basic predictive indicators for Sterling Bancorp, we also check how macroeconomic factors affect Sterling Bancorp price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
2020 | 2024 (projected) | Dividend Yield | 0.002205 | 0.002409 | Price To Sales Ratio | 2.06 | 4.9 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Sterling Bancorp in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Sterling Bancorp's short interest history, or implied volatility extrapolated from Sterling Bancorp options trading.
Trending Themes
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Additional Tools for Sterling Stock Analysis
When running Sterling Bancorp's price analysis, check to measure Sterling Bancorp'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 Sterling Bancorp is operating at the current time. Most of Sterling Bancorp's value examination focuses on studying past and present price action to predict the probability of Sterling Bancorp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sterling Bancorp's price. Additionally, you may evaluate how the addition of Sterling Bancorp to your portfolios can decrease your overall portfolio volatility.