fibonacci_stock.py

# inputs
stock = 'AAPL'
start = '2019-12-18'
end = '2020-01-18'

# To plot
import matplotlib.pyplot as plt

# To import stock prices
import yfinance as yf  
df = yf.download(stock, start, end)

# Plot the price series
fig, ax = plt.subplots(figsize=(15, 7))
ax.plot(df.Close, color='black')

# Define minimum and maximum price points
price_min = df.Close.min()
price_max = df.Close.max()

# Fibonacci Levels considering original trend as upward move
diff = price_max - price_min
level1 = price_max - 0.236 * diff
level2 = price_max - 0.382 * diff
level3 = price_max - 0.618 * diff

print("Level", "Price")
print("0 ", price_max)
print("0.236", level1)
print("0.382", level2)
print("0.618", level3)
print("1 ", price_min)

ax.axhspan(level1, price_min, alpha=0.4, color='lightsalmon')
ax.axhspan(level2, level1, alpha=0.5, color='palegoldenrod')
ax.axhspan(level3, level2, alpha=0.5, color='palegreen')
ax.axhspan(price_max, level3, alpha=0.5, color='powderblue')

plt.ylabel("Price")
plt.xlabel("Date")
plt.legend(loc=2)
plt.tight_layout()
plt.show()