
import sys

sys.path.insert(0, ".")
sys.path.append("../")  # import py files from parent folders/..*


# Importing Required Libraries
import yfinance as yf
import cufflinks as cf
import plotly.offline

cf.go_offline()
cf.set_config_file(offline=False, world_readable=True)

# Define the Ticker Symbol
ticker_symbol = "MSFT"

# Get the data on this ticker
tickerData = yf.Ticker(ticker_symbol)

# Get the historical prices for the specified period
ticker_df = tickerData.history(period="1d", start="2022-1-1", end="2023-1-25")

# Calculate RSI
delta = ticker_df["Close"].diff(1)
delta = delta.dropna()
up = delta.copy()
down = delta.copy()
up[up < 0] = 0
down[down > 0] = 0
average_gain = up.rolling(window=14).mean()
average_loss = abs(down.rolling(window=14).mean())
rs = average_gain / average_loss
RSI = 100.0 - (100.0 / (1.0 + rs))

# Add RSI to the data frame
ticker_df["RSI"] = RSI

# Define the data
data = ticker_df["RSI"]

# Plot the chart
ticker_df["RSI"].iplot(
    title="RSI of " + ticker_symbol,
    xTitle="Date",
    yTitle="RSI",
    hline=[0, 10, 20, 30, 70, 80, 90, 100],
    theme="pearl",
)

RSI¶