For the modern trader who relies on data and statistics, MetricAlgo introduces an analytical dashboard for in-depth investigation of limits and deviations of securities. Our “Limits & Deviations Analysis Dashboard” is an essential resource that provides a comprehensive and detailed overview of the key parameters that govern price dynamics. Below, a technical exploration of the key features of this tool.
The panel aims to provide an immediate overview of the key data related to the limits and deviations of a historical financial data series, filtered to maximize relevance and accuracy.
Extreme limits, which indicate the greatest price fluctuations, are contrasted with the mean of limits, which provides a more stable and representative measure of price fluctuations. These two parameters together provide a balanced understanding of the trend of an asset.
The dashboard reveals the price levels required to exceed the chosen percentages of historical candles. For example, it can be observed that to exceed 70% of historical cases, the price must deviate by 1.57% from the opening of the period. These percentage values are essential for understanding and predicting market behavior.
Counters show the frequency of positive or negative closes and opens, along with the corresponding averages. These data are vital for identifying prevailing trends and can serve as indicators for short-term trading strategies.
Through the integrated selector or manual entry, users can determine the price levels associated with a chosen probability. By selecting, for example, 90%, you can identify price boundaries that 90% of candles have not exceeded, allowing you to fine-tune entry and exit strategies.
Our Limits & Deviations Analysis Panel was developed to provide traders with the tools for a deep understanding of market movements. Through a clear interface and detailed metrics, MetricAlgo supports your technical analysis with reliable and easy-to-interpret data. We invite all users to explore this feature, an integral part of your analytical arsenal on MetricAlgo.