Balancer Math Operators Lowest value over a specified period

BAL
 Crypto
  

USD 6.16  0.02  0.33%   

Balancer math operators tool provides the execution environment for running the Lowest value over a specified period operator and other technical functions against Balancer. Balancer value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of math operators indicators. As with most other technical indicators, the Lowest value over a specified period operator function is designed to identify and follow existing trends and XRP. Math Operators module provides interface to determine different price movement patterns of similar pairs of equity instruments such as XRP and Balancer. Please specify Time Period to run this model.

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Lowest value over a specified period line plots minimum value of Balancer price series.
.

Balancer Technical Analysis Modules

Most technical analysis of Balancer 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 Balancer from various momentum indicators to cycle indicators. When you analyze Balancer 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.

About Balancer 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 Balancer. We use our internally-developed statistical techniques to arrive at the intrinsic value of Balancer based on widely used predictive technical indicators. In general, we focus on analyzing Balancer Crypto Coin price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Balancer's daily price indicators and compare them against related drivers, such as math operators 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 Balancer's intrinsic value. In addition to deriving basic predictive indicators for Balancer, we also check how macroeconomic factors affect Balancer price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Balancer's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Balancer in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.436.1611.89
Details
Intrinsic
Valuation
LowReal ValueHigh
0.255.0810.81
Details
Naive
Forecast
LowNext ValueHigh
1.236.9512.68
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
4.946.057.17
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Balancer. Your research has to be compared to or analyzed against Balancer's peers to derive any actionable benefits. When done correctly, Balancer's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Balancer.

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

Did you try this?

Run Money Flow Index Now

   

Money Flow Index

Determine momentum by analyzing Money Flow Index and other technical indicators
All  Next Launch Module

Balancer pair trading

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 Balancer 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 Balancer will appreciate offsetting losses from the drop in the long position's value.

Balancer Pair Trading

Balancer Pair Trading Analysis

The ability to find closely correlated positions to Balancer could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Balancer 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 Balancer - 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 Balancer to buy it.
The correlation of Balancer is a statistical measure of how it moves in relation to other equities. 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 Balancer moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Balancer 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 Balancer 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.
Pair CorrelationCorrelation Matching
Continue to Trending Equities. Note that the Balancer information on this page should be used as a complementary analysis to other Balancer's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.

Other Tools for Balancer Crypto Coin

When running Balancer price analysis, check to measure Balancer's coin volatility and technical momentum indicators. We have many different tools that can be utilized to determine how healthy Balancer is operating at the current time. Most of Balancer's value examination focuses on studying past and present price actions to predict the probability of Balancer's future price movements. You can analyze the coin against its peers and the financial market as a whole to determine factors that move Balancer's coin price. Additionally, you may evaluate how adding Balancer to your portfolios can decrease your overall portfolio volatility.
Focused Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Go
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Go
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
Go
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Go
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Go
Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
Go
Idea Analyzer
Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas
Go
Probability Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Go
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Go
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Go