![]() Now that we have imported all the essential packages into our python environment. Python Implementation: import pandas as pd import numpy as np import requests from termcolor import colored as cl from math import floor import matplotlib.pyplot as plt plt.rcParams = (20, 10) (‘fivethirtyeight’) The secondary packages are going to be Math for mathematical functions and Termcolor for font customization (optional). ![]() The primary packages are going to be Pandas to work with data, NumPy to work with arrays and for complex functions, Matplotlib for plotting purposes, and Requests to make API calls. Importing the required packages into the python environment is a non-skippable step. We will be following the order mentioned in the above list and buckle up your seat belts to follow every upcoming coding part. Extracting the Stochastic Oscillator values 4. The coding part is classified into various steps as follows: 1. Before moving on, a note on disclaimer: This article’s sole purpose is to educate people and must be considered as an information piece but not as investment advice or so. #Bishop osculator stocks code#Let’s now code our trading strategy in python to see some exciting results. This concludes our theory part on the Stochastic Oscillator and our trading strategy. Our trading strategy can be represented as follows: IF %K LINE BUY IF %K LINE > 80 AND %D LINE > 80 AND %K LINE > %D LINE => SELL Likewise, our strategy will reveal a sell signal when:Īs you can see, three conditions must get satisfied to either reveal a buy signal or a sell signal. Stochastic Oscillator trading strategy: Our trading strategy will reveal a buy signal when: Let’s gain some intuitions about our trading strategy based on the indicator. Now that we have an understanding of what the Stochastic Oscillator actually is. The standard setting of the %D line is 3 as the number of periods. It is also known as the smooth version of the %K line as the line graph of the %D line will look smoother than the %K line.
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