On November 7, 2024 Quantum Computing had Accumulation Distribution of 1.7 M. The accumulation distribution (A/D) indicator shows the degree to which Quantum Computing is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Quantum Computing to determine if accumulation or reduction is taking place in the market. This value is adjusted by Quantum Computing trading volume to give more weight to distributions with higher volume over lower volume.
On November 08 2024 Quantum Computing was traded for 1.43 at the closing time. The top price for the day was 1.50 and the lowest listed price was 1.24 . The trading volume for the day was 6.9 M. The trading history from November 8, 2024 was a factor to the next trading day price appreciation. The trading delta at closing time against the next closing price was 5.93% . The trading delta at closing time against the current closing price is 1.48% .
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
For every potential investor in Quantum, whether a beginner or expert, Quantum Computing's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Quantum Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Quantum. Basic forecasting techniques help filter out the noise by identifying Quantum Computing's price trends.
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 Quantum Computing stock to make a market-neutral strategy. Peer analysis of Quantum Computing could also be used in its relative valuation, which is a method of valuing Quantum Computing by comparing valuation metrics with similar companies.
Quantum Computing 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 Quantum Computing'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 Quantum Computing's current price.
Market strength indicators help investors to evaluate how Quantum Computing stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Quantum Computing shares will generate the highest return on investment. By undertsting and applying Quantum Computing stock market strength indicators, traders can identify Quantum Computing entry and exit signals to maximize returns.
The analysis of Quantum Computing'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 Quantum Computing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting quantum 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.
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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.
When running Quantum Computing's price analysis, check to measure Quantum Computing'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 Quantum Computing is operating at the current time. Most of Quantum Computing's value examination focuses on studying past and present price action to predict the probability of Quantum Computing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Computing's price. Additionally, you may evaluate how the addition of Quantum Computing to your portfolios can decrease your overall portfolio volatility.