Big Lots Stock Overlap Studies Bollinger Bands

BIG
 Stock
  

USD 20.62  0.32  1.53%   

Big Lots overlap studies tool provides the execution environment for running the Bollinger Bands study and other technical functions against Big Lots. Big Lots 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 overlap studies indicators. As with most other technical indicators, the Bollinger Bands study function is designed to identify and follow existing trends. Big Lots overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Time Period, Deviations up, Deviations down, and MA Type.

The output start index for this execution was thirty-one with a total number of output elements of thirty. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Big Lots middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Big Lots. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
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Big Lots Technical Analysis Modules

Most technical analysis of Big Lots 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 Big Lots from various momentum indicators to cycle indicators. When you analyze Big Lots 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 Big Lots 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 Big Lots. We use our internally-developed statistical techniques to arrive at the intrinsic value of Big Lots based on widely used predictive technical indicators. In general, we focus on analyzing Big Lots Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Big Lots's daily price indicators and compare them against related drivers, such as overlap studies 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 Big Lots's intrinsic value. In addition to deriving basic predictive indicators for Big Lots, we also check how macroeconomic factors affect Big Lots price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2010 2014 2020 2022 (projected)
Long Term Debt to Equity0.08540.330.0034740.0432
Interest Coverage57.039.2925.8359.25
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Big Lots' 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 Big Lots in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
16.6221.2925.96
Details
Intrinsic
Valuation
LowReal ValueHigh
18.8527.0531.72
Details
Naive
Forecast
LowNext ValueHigh
17.2321.9026.56
Details
8 Analysts
Consensus
LowTarget PriceHigh
37.0046.0054.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Big Lots. Your research has to be compared to or analyzed against Big Lots' peers to derive any actionable benefits. When done correctly, Big Lots' 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 Big Lots.

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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.

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Technical Analysis

Check basic technical indicators and analysis based on most latest market data
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Big Lots 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 Big Lots 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 Big Lots will appreciate offsetting losses from the drop in the long position's value.

Big Lots Pair Trading

Big Lots Pair Trading Analysis

The ability to find closely correlated positions to Big Lots could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Big Lots 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 Big Lots - 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 Big Lots to buy it.
The correlation of Big Lots 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 Big Lots moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Big Lots 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 Big Lots 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 Big Lots information on this page should be used as a complementary analysis to other Big Lots' 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 Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.

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When running Big Lots price analysis, check to measure Big Lots' 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 Big Lots is operating at the current time. Most of Big Lots' value examination focuses on studying past and present price action to predict the probability of Big Lots' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Big Lots' price. Additionally, you may evaluate how the addition of Big Lots to your portfolios can decrease your overall portfolio volatility.
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Is Big Lots' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Big Lots. If investors know Big Lots will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Big Lots listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
-0.37
Market Capitalization
590.5 M
Quarterly Revenue Growth YOY
-0.15
Return On Assets
0.017
Return On Equity
0.0642
The market value of Big Lots is measured differently than its book value, which is the value of Big Lots that is recorded on the company's balance sheet. Investors also form their own opinion of Big Lots' value that differs from its market value or its book value, called intrinsic value, which is Big Lots' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Big Lots' market value can be influenced by many factors that don't directly affect Big Lots' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Big Lots' value and its price as these two are different measures arrived at by different means. Investors typically determine Big Lots value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Big Lots' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.