There are situations where more raw values per time point are needed to understand a trend for prediction. The candlestick plot is a commonly used visualization in technical analysis in finance to show a price trend, most often seen in the stock market. To draw a candlestick plot, we can use the candlestick_ohlc API in the mpl_finance package.
mpl_finance can be downloaded from GitHub. After cloning the repository in the Python site-packages directory, call python3 setup.py install in the terminal to install it.
candlestick_ohlc() takes the input of a Pandas DataFrame with five columns: date in floating-point numbers, open, high, low, and close.
In our tutorial, we use the cryptocurrency market values as an example. Let's again look at the data table we obtained:
import pandas as pd
# downloaded from kaggle "Cryptocurrency Market Data" dataset curated by user jvent
# Source URL: https://www.kaggle.com/jessevent/all-crypto-currencies
crypt = pd.read_csv('crypto-markets.csv...
