The crypto price trends provide interesting optics that give traders an idea of assets to buy or sell. Crypto price analysis involves steps to establish crypto market movements and help traders embrace optimal trading objectives. The analyzed data also helps measure market sentiment towards individual crypto assets and collective projects. The information from good analysis guides traders to invest in assets with positive market sentiment and expected share increase in the future. Crypto market analysts insist on using log returns instead of price series analysis when evaluating market conditions. Analysis of log returns involves evaluating the price changes over a specific period to identify if it indicates a positive or negative trend. The evaluation process involves SciPy tools to publicly provide better optics of the publicly available crypto trading data. Python Crypto Analysis The execution of Python crypto analysis strategies relies on applying scientific and numerical tools for Python (SciPy). The SciPy tools comprise two sets of libraries that perform particular functions of the cryptanalysis process. Data analysis and manipulation tools help break down different data elements based on user-defined metrics. The other set comprises data visualization tools to present the analyzed log-returns data in an understandable format for traders. There are benefits of using SciPy tools to analyze crypto price changes based on th...
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