Options Dash

Options Dash is a web-based analytics dashboard for options traders, analysts, and researchers.
It provides tools to calculate Implied Volatility (IV), compute Options Greeks, and backtest popular strategies.

Installation

Prerequisites

• Python 3.9+
• pip
• git

Setup

# Clone the repository
git clone https://github.com/amanu242006/Options-Dash.git
cd Options-Dash

# Install dependencies
pip install -r requirements.txt

# Run the development server
python options_dashboard/manage.py runserver

Visit in your browser:
http://127.0.0.1:8000/

Features

1. Implied Volatility (IV) Calculator

• Inputs:
  • Risk-Free Rate (%)
  • Option Type Filter (All, Calls, Puts)
  • Date Range Selection
• Outputs:
  • Interactive IV plot
  • Interpretation guide:
    • Higher IV → Higher expected price movement
    • Lower IV → Lower volatility near expiration

2. Options Greeks Calculator

Calculates:

• Delta – Sensitivity to underlying price changes
• Gamma – Sensitivity of Delta to price changes
• Theta – Time decay of option value
• Vega – Sensitivity to volatility changes
• Rho – Sensitivity to interest rate changes

3. Backtesting Module

• Strategies: Straddle, Butterfly, Strangle
• Outputs:
  • Total trades, wins, win rate
  • Final capital & total P&L
  • Maximum drawdown
  • Annualized Sharpe ratio
  • Optional performance graphs

Example Results

Strategy	Trades	Wins	Win Rate	Final Capital	Total P&L	Max Drawdown	Sharpe Ratio
Straddle	11	8	72.73%	108,372.50	8,372.50	-2.45%	121.79
Butterfly	5	4	80%	146,000.00	46,000.00	-0.34%	116.04
Strangle	9	6	66%	123,018.00	23,018.00	-1.84%	119.64

🛠 How It Works

Implied Volatility

• Based on Black–Scholes option pricing model
• Uses scipy.optimize.brentq to solve for volatility (σ)
• Matches observed market prices to model price

Greeks

Derived from Black–Scholes partial derivatives:

Δ = ∂Price/∂S  
Γ = ∂²Price/∂S²  
Θ = ∂Price/∂T  
Vega = ∂Price/∂σ  
Rho = ∂Price/∂r

Implemented using NumPy & SciPy.

Backtesting

• Separate Python functions for each strategy
• Performance metrics stored in dictionaries
• Graphs optionally loaded via PIL

Screenshots

Dashboard View	IV Calculator	Backtesting Results

Troubleshooting

Error:
Failed to load IV data: Network response was not ok.

Fix:

• Check your internet connection
• Verify the data source/API is active
• Open browser console (F12) and inspect logs

License

This project is licensed under the terms in the LICENSE file.

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