January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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How to do it...
Execute the following steps to create an interactive dashboard inside Jupyter Notebook.
- Import the libraries:
import ipywidgets as wdimport cufflinks as cfimport pandas as pd import yfinance as yffrom plotly.offline import iplot, init_notebook_modefrom ipywidgets import interact, interact_manualinit_notebook_mode()
- Define the possible values for assets and technical indicators:
stocks = ['TWTR', 'MSFT', 'GOOGL', 'FB', 'TSLA', 'AAPL']indicators = ['Bollinger Bands', 'MACD', 'RSI']
- Define a function for creating the interactive plot:
def ta_dashboard(asset, indicator, start_date, end_date, bb_k, bb_n, macd_fast, macd_slow, macd_signal, rsi_periods, rsi_upper, rsi_lower): df = yf.download(asset, start=start_date,
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