A comprehensive post on various option strategies, and their applications in risk management, income generation, speculation, and flexibility. We delved into detailed payoff graphs, exploring max profit, loss, and breakeven points.
Covered Call import numpy as np import matplotlib.pyplot as plt # Function to calculate the payoff of a covered call def covered_call_payoff(s, strike_price, stock_purchase_price, call_premium): # Stock payoff without the…
Introduction & Definition Implied Volatility (IV) serves as a crucial indicator in the realm of options trading, encapsulating the market's perception of potential future fluctuations in an asset's price. This…
Option Price with Volatility import numpy as np import matplotlib.pyplot as plt from scipy.stats import norm # Function to calculate Black-Scholes option price for call and put options def calculate_option_price(S,…
Relationship of Gamma (Γ) with different expiries import numpy as np import matplotlib.pyplot as plt from tabulate import tabulate from scipy.stats import norm # Function to calculate call gamma def…
Delta vs Stock Price import numpy as np import pandas as pd import matplotlib.pyplot as plt from scipy.stats import norm # Black-Scholes model for calculating option price and delta def…
In mathematical finance, the Greeks serve as essential measures denoting the sensitivities or derivatives of a derivative instrument's price—like an option—to alterations in one or more underlying parameters. These parameters…