Big Lots, Pink Sheet Forecast - Naive Prediction
| BIGGQ Stock | 0.0004 0.0001 33.33% |
Big |
Big Lots, Naive Prediction Price Forecast For the 27th of December
Given 90 days horizon, the Naive Prediction forecasted value of Big Lots, on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0.0001, mean absolute percentage error of 0.00000003, and the sum of the absolute errors of 0.01.Please note that although there have been many attempts to predict Big Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Big Lots,'s next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Big Lots, Pink Sheet Forecast Pattern
Big Lots, Forecasted Value
In the context of forecasting Big Lots,'s Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Big Lots,'s downside and upside margins for the forecasting period are 0.000004 and 51.06, respectively. We have considered Big Lots,'s daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Big Lots, pink sheet data series using in forecasting. Note that when a statistical model is used to represent Big Lots, pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 100.7632 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.0E-4 |
| MAPE | Mean absolute percentage error | 0.3523 |
| SAE | Sum of the absolute errors | 0.0085 |
Predictive Modules for Big Lots,
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Big Lots,. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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,'s peers to derive any actionable benefits. When done correctly, Big Lots,'s competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Big Lots,.Other Forecasting Options for Big Lots,
For every potential investor in Big, whether a beginner or expert, Big Lots,'s price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Big Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Big. Basic forecasting techniques help filter out the noise by identifying Big Lots,'s price trends.Big Lots, Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Big Lots, pink sheet to make a market-neutral strategy. Peer analysis of Big Lots, could also be used in its relative valuation, which is a method of valuing Big Lots, by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Big Lots, Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Big Lots,'s price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Big Lots,'s current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Big Lots, Market Strength Events
Market strength indicators help investors to evaluate how Big Lots, pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Big Lots, shares will generate the highest return on investment. By undertsting and applying Big Lots, pink sheet market strength indicators, traders can identify Big Lots, entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.33 | |||
| Day Median Price | 4.0E-4 | |||
| Day Typical Price | 4.0E-4 | |||
| Price Action Indicator | 1.0E-4 | |||
| Period Momentum Indicator | 1.0E-4 |
Big Lots, Risk Indicators
The analysis of Big Lots,'s basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Big Lots,'s investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting big pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 29.85 | |||
| Semi Deviation | 22.42 | |||
| Standard Deviation | 50.3 | |||
| Variance | 2529.86 | |||
| Downside Variance | 2904.33 | |||
| Semi Variance | 502.71 | |||
| Expected Short fall | (80.00) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with Big Lots,
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.Moving against Big Pink Sheet
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 instruments. 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.Additional Tools for Big Pink Sheet Analysis
When running Big Lots,'s price analysis, check to measure Big Lots,'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 Big Lots, is operating at the current time. Most of Big Lots,'s value examination focuses on studying past and present price action to predict the probability of Big Lots,'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Big Lots,'s price. Additionally, you may evaluate how the addition of Big Lots, to your portfolios can decrease your overall portfolio volatility.