Data Analysis

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DataScience
Python
Statistics

Scikit-learn LinearRegression vs Numpy Polyfit

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

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Crypto
DataScience
Python

Coefficient of variation to compare your crypto assets

This 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.

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DataScience
Python

Mastering DataFrame – how to aggregate OHLCV data in a different time period

OHLCV 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 […]

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DataScience
Python

How to get a distribution of returns and draw a probability plot for the distribution in Python

It’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.

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DataScience

How to calculate historical volatility and sharpe ratio in Python

To 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.

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Crypto
DataScience

How to get cumulative return for your asset and portfolio in Python

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

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Crypto
Python

Simple backtesting for trading in Python

To 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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