Deer Consumer Prodct Stock Market Value
| DEER Stock | USD 0.0001 0.00 0.00% |
| Symbol | Deer |
Deer Consumer 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Deer Consumer's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Deer Consumer.
| 12/23/2025 |
| 01/22/2026 |
If you would invest 0.00 in Deer Consumer on December 23, 2025 and sell it all today you would earn a total of 0.00 from holding Deer Consumer Prodct or generate 0.0% return on investment in Deer Consumer over 30 days. Deer Consumer Products, Inc., through its subsidiaries, engages in the design, manufacture, and sale of small home and k... More
Deer Consumer Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Deer Consumer's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Deer Consumer Prodct upside and downside potential and time the market with a certain degree of confidence.
Deer Consumer Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deer Consumer's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deer Consumer's standard deviation. In reality, there are many statistical measures that can use Deer Consumer historical prices to predict the future Deer Consumer's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deer Consumer'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.
Deer Consumer Prodct Backtested Returns
We have found three technical indicators for Deer Consumer Prodct, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Deer Consumer are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Deer Consumer Prodct has no correlation between past and present. Overlapping area represents the amount of predictability between Deer Consumer time series from 23rd of December 2025 to 7th of January 2026 and 7th of January 2026 to 22nd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Deer Consumer Prodct price movement. The serial correlation of 0.0 indicates that just 0.0% of current Deer Consumer price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Deer Consumer Prodct lagged returns against current returns
Autocorrelation, which is Deer Consumer pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Deer Consumer's pink sheet expected returns. We can calculate the autocorrelation of Deer Consumer returns to help us make a trade decision. For example, suppose you find that Deer Consumer has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Deer Consumer regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Deer Consumer pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Deer Consumer pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Deer Consumer pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Deer Consumer Lagged Returns
When evaluating Deer Consumer's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Deer Consumer pink sheet have on its future price. Deer Consumer autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Deer Consumer autocorrelation shows the relationship between Deer Consumer pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Deer Consumer Prodct.
Regressed Prices |
| Timeline |
Pair Trading with Deer Consumer
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 Deer Consumer 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 Deer Consumer will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Deer Consumer could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deer Consumer 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 Deer Consumer - 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 Deer Consumer Prodct to buy it.
The correlation of Deer Consumer 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 Deer Consumer moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deer Consumer Prodct 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 Deer Consumer 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 Deer Pink Sheet Analysis
When running Deer Consumer's price analysis, check to measure Deer Consumer'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 Deer Consumer is operating at the current time. Most of Deer Consumer's value examination focuses on studying past and present price action to predict the probability of Deer Consumer's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deer Consumer's price. Additionally, you may evaluate how the addition of Deer Consumer to your portfolios can decrease your overall portfolio volatility.