Python

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

Mastering DataFrame – 3 tips for DataFrame.rolling function

Introduce 3 tips in DataFrame about the parameters center and min_periods, how to change the weight of window with win_type, how to use apply function.

How to build Sentiment Analysis with NLTK and Sciki-learn in Python

Sentiment Analysis is one of major applicatioin in machine learning and natural language processing space. This is a guide how to code it in Python.

How to compute price correlation for financial data in Python

We learn how to use Pandas rolling function to calculate rolling change, rolling standard deviation and rolling correlation for financial assets.

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 […]

DataScience

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.

Python

Why it’s confusing? datetime and unix time (POSIX) in Python

To explain what native and aware objects in datetime module are and how to convert naive and aware objects to unix time (POSIX) in the right way.

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.