Dicker Data Stock Forecast - Daily Balance Of Power

DDR Stock   8.56  0.14  1.66%   
Dicker Stock Forecast is based on your current time horizon.
  
At this time, Dicker Data's Property Plant Equipment is comparatively stable compared to the past year. Short and Long Term Debt Total is likely to gain to about 339.5 M in 2024, whereas Cash is likely to drop slightly above 9.6 M in 2024.
On December 12, 2024 Dicker Data had Daily Balance Of Power of (0.18). Balance of Power indicator (or BOP) measures the strength of Dicker Data market sensitivity to bulls and bears. It estimates the ability of Dicker Data buyers and sellers to push price to an extreme high or extreme low level. As a result, by monitoring Dicker Data Balance of Power indicator one can determine a trend of the price direction.
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Dicker Data Trading Date Momentum

On December 13 2024 Dicker Data was traded for  8.52  at the closing time. The maximum traded price for the trading interval was 8.64  and the lowest daily price was  8.40 . The daily volume was recorded at 300.2 K. The volume of trading on 13th of December 2024 played a part in the next trading day price appreciation. The overall trading delta to the next closing price was 0.59% . The overall trading delta to the closing price today is 0.94% .
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
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Other Forecasting Options for Dicker Data

For every potential investor in Dicker, whether a beginner or expert, Dicker Data's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Dicker Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Dicker. Basic forecasting techniques help filter out the noise by identifying Dicker Data's price trends.

Dicker Data 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 Dicker Data stock to make a market-neutral strategy. Peer analysis of Dicker Data could also be used in its relative valuation, which is a method of valuing Dicker Data by comparing valuation metrics with similar companies.
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Dicker Data Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Dicker Data'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 Dicker Data's current price.

Dicker Data Market Strength Events

Market strength indicators help investors to evaluate how Dicker Data stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Dicker Data shares will generate the highest return on investment. By undertsting and applying Dicker Data stock market strength indicators, traders can identify Dicker Data entry and exit signals to maximize returns.

Dicker Data Risk Indicators

The analysis of Dicker Data'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 Dicker Data's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dicker stock 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.
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.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Dicker Stock Analysis

When running Dicker Data's price analysis, check to measure Dicker Data'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 Dicker Data is operating at the current time. Most of Dicker Data's value examination focuses on studying past and present price action to predict the probability of Dicker Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dicker Data's price. Additionally, you may evaluate how the addition of Dicker Data to your portfolios can decrease your overall portfolio volatility.