Focus On Technical Analyses!
Our ability to discover patterns and correlations in large and complex data sets is a game changer for our market strategies.
Technical Analyses
Recognise trend directions in the chart.
Using advanced chart analysis techniques, Quantum Data Analytics provides deep insights into market dynamics to precisely identify critical turning points and trend lines.
At Quantum Data Analytics, we enhance traditional chart analysis by incorporating the latest regression analysis techniques. This advanced methodology enables us to create a more comprehensive and clearer picture of the current market situation. By combining regression analysis with time series analysis, we identify key features in the charts, allowing us to recognize support and resistance levels with greater precision. This approach results in meaningful price zones that facilitate significant and more accurate market predictions. Our methods are based on a wide range of indicators, which we precisely identify using artificial intelligence and seamlessly integrate into our market analyses.
Prices are not just random events. By studying past price movements, we can recognise patterns and trends that help us to predict future price movements.
1
Timeframes
Our technical analyses begin with the 4-hour chart and extend to the weekly chart. Naturally, we also consider charts in smaller time frames to achieve a cohesive overall market picture. However, we do not publish these smaller time frames as they are less meaningful due to their fast-moving nature. Nevertheless, all time frames must be consistent to enable well-founded decisions.
2
Price Zone!
We determine price zones using regression analysis, which identifies significant support and resistance levels. These price zones are crucial as they signal the highest trading activity. A prolonged stay within these zones can also indicate a potential trend reversal. By precisely identifying these zones, potential market movements can be better predicted and trading strategies optimized. The price zones are color-coded, with support zones shown in green and resistance zones in red.
3
Fibonacci-Retracements
Fibonacci retracements are utilized in both our analyses and our trading bots, as they represent a significant psychological aspect of trading. These retracements identify key support and resistance areas during price formation, helping to determine potential highs and lows in the market. The use of Fibonacci retracements allows for a more accurate assessment of price corrections and trend continuations. This enables us to make informed trading decisions and better manage risk.
4
Indicators
For our trading, we utilize key indicators for our analyses and trading robots, which have gained a significant position in stock exchange trading over the years due to their reliability. These include numerous momentum indicators and oscillators. To ensure we receive data in real time, we have developed our own indicators, which closely resemble those used in trading centers. Additionally, we employ artificial intelligence to identify the best indicators depending on the market situation.
5
On Chain
To assess various market situations in real time, we incorporate on-chain data into our analyses. We also use this on-chain data for our regression analyses to gain an enhanced view of the markets. By integrating on-chain data, we can directly reflect supply and demand with quantitative data, providing a more in-depth picture than conventional chart analyses.
One example is analyzing asset transfer activity. If assets are increasingly transferred from private addresses to trading platforms, this indicates a rise in the sell side, suggesting imminent selling pressure. Conversely, if assets are withdrawn from exchanges, the reserves on trading platforms decrease, which could lead to increased buying pressure if market sentiment is positive.
