TECHNICAL
ANALYSES

IN FOCUS
Our ability to uncover patterns and correlations in large and complex datasets is a game changer for our market strategies.
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Technical ANALYSES!

Classical chart analysis is an essential component of our overall market analysis.

Identifying trend directions in charts.

By using advanced chart analysis techniques, Quantum Data Analytics enables deeper insights into market dynamics in order to precisely identify critical turning points and trendlines.

At Quantum Data Analytics, we expand traditional chart analysis by integrating the latest regression analysis techniques. This advanced methodology allows 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 within charts, enabling us to detect support and resistance levels with greater precision. This analysis leads to meaningful price zones that indicate potential market opportunities and enable accurate forecasts. Our approaches are based on a broad range of indicators, which we precisely determine using artificial intelligence and seamlessly integrate into our market analyses.

To the analyses!
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Prices are not mere random events. By studying past price movements, we can identify patterns and trends that help us forecast future price developments.

John Bollinger

1

Timeframes

Our technical chart analyses begin with the 4-hour chart and extend up to the weekly chart. Naturally, we also take charts in smaller timeframes into account in order to obtain a coherent overall picture of the market. However, these smaller timeframes are not published, as their speed makes them less reliable. Nevertheless, all timeframes must align to enable well-founded decision-making.

Analysis

 

1

Timeframes

Our technical chart analyses begin with the 4-hour chart and extend up to the weekly chart. Naturally, we also take charts in smaller timeframes into account in order to obtain a coherent overall picture of the market. However, these smaller timeframes are not published, as their speed makes them less reliable. Nevertheless, all timeframes must align to enable well-founded decision-making.

Analysis

 

2

Price Zones

Support and resistance levels are highlighted. These price zones are of great importance, as they signal the highest trading activity. A longer stay within these zones may also indicate a possible trend reversal. By precisely identifying these zones, potential market movements can be forecast more effectively and trading strategies can be optimized. The price zones are color-coded and displayed as support zones (green) and resistance zones (red).

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3

Fibonacci-Retracements

Fibonacci retracements are used both in our analyses and in our trading bots, as they represent a significant psychological aspect of trading. These retracements identify key support and resistance areas during price formation and can help determine potential market highs and lows. Applying Fibonacci retracements enables a more precise assessment of price corrections and trend continuations. This allows us to make well-founded trading decisions and manage risk more effectively.

Trading bot

 

3

Fibonacci-Retracements

Fibonacci retracements are used both in our analyses and in our trading bots, as they represent a significant psychological aspect of trading. These retracements identify key support and resistance areas during price formation and can help determine potential market highs and lows. Applying Fibonacci retracements enables a more precise assessment of price corrections and trend continuations. This allows us to make well-founded trading decisions and manage risk more effectively.

Handelsroboter

 

4

Indicators

For our trading activities, we use key indicators both in our analyses and in our trading bots—indicators that have proven their reliability and value in financial markets over many years. These include a wide range of momentum indicators as well as oscillators. To obtain real-time data, we have developed our own proprietary indicators, which are virtually indistinguishable from standard indicators in terms of trading signals. In addition, we use artificial intelligence to identify the most effective indicators depending on the current market situation.

Analysis

 

5

On Chain

To assess different market conditions in real time, we additionally use on-chain data in our analyses. We also incorporate on-chain data into our regression analyses to gain a clearer view of market dynamics. By integrating on-chain data, we can directly compare supply and demand with quantitative market data, providing deeper insights than traditional chart analysis.

One example is the analysis of asset transfer activity. When assets are increasingly transferred to private wallets instead of trading platforms, this indicates a growing selling interest and suggests potential upcoming selling pressure. Conversely, when assets are withdrawn from exchanges, exchange reserves decrease, which—given corresponding buy orders—can lead to increased buying pressure.

Regression Analysis

 

5

On Chain

To assess different market conditions in real time, we additionally use on-chain data in our analyses. We also incorporate on-chain data into our regression analyses to gain a clearer view of market dynamics. By integrating on-chain data, we can directly compare supply and demand with quantitative market data, providing deeper insights than traditional chart analysis.

One example is the analysis of asset transfer activity. When assets are increasingly transferred to private wallets instead of trading platforms, this indicates a growing selling interest and suggests potential upcoming selling pressure. Conversely, when assets are withdrawn from exchanges, exchange reserves decrease, which—given corresponding buy orders—can lead to increased buying pressure.

Regression Analysis