What are differences between linear regression and polynomial regression? We must know these techniques well but it is still vague somewhat.

Read MoreThis guide shows how to obtain crypto data via CoinGecko API and calculate the coefficient of variation that is a statistical measure of the dispersion of data points.

Read MoreTutorials how to craw a candlestick from DataFrame object with three different libraries mplfinance, plotly and bokeh.

Read MoreOHLCV stands for Open, High, Low, Close and Volume (Volume is optional). It’s used for market data such as stock, forex, commodity and crypto and consists of a series of rows that represent 5 data points: the opening and closing price, the highest and lowest price during a certain period of time. Volume is the […]

Read MoreIt’s crucial to understand the distribution curve of data (asset returns) and if it conforms to the normal distribution. You can learn how to do this in Python.

Read MoreTo understand what historical volatility and sharpe ratio are in the markets. It is a how-to guide how to compute volatility and sharpe ratio in Python.

Read MoreTo explain how to use cumprod in Pandas library to calculate cumulative portfolio return and single asset return in an efficient code with Python.

Read MoreTo highlight how easy we can do backtesting in simple Python coding and leverage results for your trading, stock market, forex, options and crypto currencies.

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