BNY Mellon Sterling 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 entity future prices. In plain English you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for BNY Mellon Sterling Liquidity C which can be compared to its rivals. Please confirm BNY Mellon Sterling Semi Deviation, Coefficient Of Variation and the relationship between Mean Deviation and Downside Deviation to decide if BNY Mellon Sterling is priced some-what accurately providing market reflects its regular price of 0.0 per share.
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BNY Mellon Sterling Technical Analysis
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BNY Mellon Sterling Trend AnalysisUse this graph to draw trend lines for BNY Mellon Sterling Liquidity C. You can use it to identify possible trend reversals for BNY Mellon 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 BNY Mellon price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
BNY Mellon Best Fit Change LineThe following chart estimates an ordinary least squares regression model for BNY Mellon Sterling Liquidity C applied against its price change over selected period. The best fit line has a slop of ? % . It has 0 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted BNY Mellon price change compared to its average price change.
View fundamental data based on most recent published financial statements
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BNY Mellon Sterling One Year Return
Based on recorded statements BNY Mellon Sterling Liquidity C has One Year Return of 0.32%. This is 8.57% lower than that of the BNY Mellon Global Management Ltd family, and 62.71% higher than that of GBP Money Market - Short Term category, The One Year Return for all funds is 86.09% higher than the company.
Please also check Risk vs Return Analysis. Please also try Coins and Tokens Correlation module to utilize digital token correlation table to build portfolio of cryptocurrencies across multiple exchanges.