#trading #assets #financial-analysis #data-analysis #options

optionstratlib

OptionStratLib is a comprehensive Rust library for options trading and strategy development across multiple asset classes

4 releases

0.2.1 Oct 28, 2024
0.2.0 Oct 6, 2024
0.1.1 Sep 18, 2024
0.1.0 Aug 21, 2024

#17 in Finance

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MIT license

2MB
16K SLoC

OptionStratLib

Dual License Crates.io Downloads Stars

Build Status Coverage Dependencies

OptionStratLib v0.2.1: Financial Options Library

Table of Contents

  1. Introduction
  2. Features
  3. Project Structure
  4. Setup Instructions
  5. Library Usage
  6. Usage Examples
  7. Testing
  8. Contribution and Contact

Introduction

OptionStratLib is a comprehensive Rust library for options trading and strategy development across multiple asset classes. This versatile toolkit enables traders, quants, and developers to:

Features

  1. Valuation Models:

    • Black-Scholes model
    • Binomial model
    • Monte Carlo simulations
    • Telegraph process model
  2. Greeks Calculation:

    • Delta, gamma, theta, vega, and rho
    • Custom Greeks implementation
    • Greeks visualization
  3. Option Types:

    • European and American options
    • Calls and puts
    • Support for exotic options (Asian, Barrier, etc.)
  4. Volatility Models:

    • Constant volatility
    • EWMA (Exponentially Weighted Moving Average)
    • GARCH implementation
    • Heston stochastic volatility
    • Volatility surface interpolation
  5. Option Chain Management:

    • Chain construction and analysis
    • Strike price generation
    • Chain data import/export (CSV/JSON)
  6. Trading Strategies:

    • Bull Call Spread
    • Bear Put Spread
    • Call Butterfly
    • Strategy optimization
    • Custom strategy development
  7. Risk Management:

    • SPAN margin calculation
    • Position tracking
    • Break-even analysis
    • Profit/Loss calculations
  8. Simulation Tools:

    • Random Walk simulation
    • Telegraph process
    • Monte Carlo methods
    • Custom simulation frameworks
  9. Visualization:

    • Strategy payoff diagrams
    • Greeks visualization
    • Binomial trees
    • Risk profiles
    • Interactive charts
  10. Data Management:

  • CSV/JSON import/export
  • Option chain data handling
  • Historical data analysis
  • Price series management
  1. Backtesting: TODO!
  2. Performance Metrics: TODO!

Project Structure

The project is organized into the following key modules:

  1. Core Options (options/):

    • option.rs: Core option structures and methods
    • position.rs: Position management
    • chain.rs: Option chain handling
  2. Pricing Models (pricing/):

    • binomial_model.rs: Binomial tree implementation
    • black_scholes_model.rs: Black-Scholes pricing
    • monte_carlo.rs: Monte Carlo simulations
    • telegraph.rs: Telegraph process model
  3. Greeks (greeks/):

    • equations.rs: Greeks calculations
    • utils.rs: Greek utilities
  4. Volatility (volatility/):

    • constant.rs: Constant volatility model
    • ewma.rs: EWMA implementation
    • garch.rs: GARCH model
    • heston.rs: Heston model
    • surface.rs: Volatility surface handling
  5. Strategies (strategies/):

    • base.rs: Strategy base traits
    • bear_put_spread.rs:
    • bull_call_spread.rs:
    • butterfly_spread.rs:
    • call_butterfly.rs:
    • collar.rs:
    • covered_call.rs:
    • custom.rs: Custom strategy framework
    • iron_condor.rs:
    • poor_mans_covered_call.rs:
    • protective_put.rs:
    • straddle.rs:
    • strangle.rs:
    • utils.rs: Strategy utilities
  6. Risk Management (risk/):

    • span.rs: SPAN margin calculation
    • margin.rs: Margin requirements
    • position.rs: Position risk metrics
  7. Simulation (simulation/):

    • random_walk.rs
    • telegraph.rs
    • monte_carlo.rs
  8. Visualization (visualization/):

    • binomial_tree.rs
    • strategy.rs
    • utils.rs
  9. Data Management (data/):

    • chain.rs: Chain data structures
    • import.rs: Data import utilities
    • export.rs: Data export utilities

Relationships

Base Structure

classDiagram
    class Options {
        +option_type: OptionType
        +side: Side
        +underlying_symbol: String
        +strike_price: PositiveF64
        +expiration_date: ExpirationDate
        +implied_volatility: f64
        +quantity: PositiveF64
        +underlying_price: PositiveF64
        +risk_free_rate: f64
        +option_style: OptionStyle
        +dividend_yield: f64
        +exotic_params: Option~ExoticParams~
        +calculate_price_black_scholes()
        +calculate_price_binomial()
        +time_to_expiration()
        +is_long()
        +is_short()
        +validate()
    }

    class OptionType {
        <<enumeration>>
        European
        American
        Bermuda
        Asian
        Barrier
        Binary
        Lookback
        Compound
        Chooser
        Cliquet
        Rainbow
        Spread
        Quanto
        Exchange
        Power
    }

    class Side {
        <<enumeration>>
        Long
        Short
    }

    class OptionStyle {
        <<enumeration>>
        Call
        Put
    }

    class Position {
        +option: Options
        +premium: f64
        +date: DateTime
        +open_fee: f64
        +close_fee: f64
        +total_cost()
        +unrealized_pnl()
        +days_held()
        +days_to_expiration()
        +is_long()
        +is_short()
        +break_even()
    }

    class Strategies {
        <<interface>>
        +add_leg()
        +get_legs()
        +break_even()
        +max_profit()
        +max_loss()
        +total_cost()
        +net_premium_received()
        +fees()
    }

    class BullCallSpread {
        +long_call: Position
        +short_call: Position
        +break_even()
        +max_profit()
        +max_loss()
    }

    class CallButterfly {
        +long_call_itm: Position
        +short_call: Position
        +long_call_otm: Position
        +break_even()
        +max_profit()
        +max_loss()
    }

    class Greeks {
        <<interface>>
        +delta()
        +gamma()
        +theta()
        +vega()
        +rho()
        +rho_d()
    }

    class Profit {
        <<interface>>
        +calculate_profit_at()
    }

    class Graph {
        <<interface>>
        +graph()
        +title()
        +get_values()
    }

    class PnLCalculator {
        <<interface>>
        +calculate_pnl()
        +calculate_pnl_at_expiration()
    }

    Options --|> Greeks
    Options --|> Profit
    Options --|> Graph
    Position *-- Options
    Position --|> Greeks
    Position --|> Profit
    Position --|> Graph
    Position --|> PnLCalculator
    BullCallSpread --|> Strategies
    BullCallSpread --|> Profit
    BullCallSpread --|> Graph
    CallButterfly --|> Strategies
    CallButterfly --|> Profit
    CallButterfly --|> Graph
    Options o-- OptionType
    Options o-- Side
    Options o-- OptionStyle

Strategy Structure

classDiagram
    class Options {
        +option_type: OptionType
        +side: Side
        +strike_price: PositiveF64
        +expiration_date: ExpirationDate
        +implied_volatility: f64
        +calculate_price_black_scholes()
        +calculate_price_binomial()
        +calculate_delta()
        +payoff()
    }

    class Position {
        +option: Options
        +premium: f64
        +date: DateTime
        +open_fee: f64
        +close_fee: f64
        +total_cost()
        +unrealized_pnl()
        +days_held()
    }

    class OptionChain {
        +symbol: String
        +underlying_price: PositiveF64
        +options: BTreeSet<OptionData>
        +build_chain()
        +add_option()
        +save_to_csv()
        +load_from_csv()
    }

    class Strategy {
        <<Interface>>
        +add_leg()
        +get_legs()
        +break_even()
        +max_profit()
        +max_loss()
        +total_cost()
    }

    class BullCallSpread {
        +long_call: Position
        +short_call: Position
        +break_even_points: Vec<f64>
        +calculate_profit_at()
    }

    class CallButterfly {
        +long_call_itm: Position
        +long_call_otm: Position  
        +short_call: Position
        +break_even_points: Vec<f64>
    }

    class Graph {
        <<Interface>>
        +title()
        +get_values()
        +get_vertical_lines()
        +get_points()
    }

    class Profit {
        <<Interface>>
        +calculate_profit_at()
    }

    class Greeks {
        <<Interface>>
        +delta()
        +gamma()
        +theta()
        +vega()
    }

    Position o-- Options
    Strategy <|.. BullCallSpread
    Strategy <|.. CallButterfly
    Graph <|.. Options
    Graph <|.. Position 
    Graph <|.. Strategy
    Profit <|.. Options
    Profit <|.. Position
    Profit <|.. Strategy
    Greeks <|.. Options
    OptionChain o-- Options
    BullCallSpread o-- Position
    CallButterfly o-- Position

Setup Instructions

  1. Clone the repository:
git clone https://github.com/joaquinbejar/OptionStratLib.git
cd OptionStratLib
  1. Build the project:
make build
  1. Run tests:
make test
  1. Format the code:
make fmt
  1. Run linting:
make lint
  1. Clean the project:
make clean
  1. Run the project:
make run
  1. Fix issues:
make fix
  1. Run pre-push checks:
make pre-push
  1. Generate documentation:
make doc
  1. Publish the package:
make publish
  1. Generate coverage report:
make coverage

Library Usage

To use the library in your project, add the following to your Cargo.toml:

[dependencies]
optionstratlib = { git = "https://github.com/joaquinbejar/OptionStratLib.git" }

Usage Examples

Here are some examples of how to use the library for option pricing and analysis:

use optionstratlib::model::option::Options;
use optionstratlib::model::types::{ExpirationDate, OptionStyle, OptionType, Side};
use optionstratlib::visualization::utils::Graph;
use std::error::Error;
use optionstratlib::greeks::equations::Greeks;

fn create_sample_option() -> Options {
   Options::new(
      OptionType::European,
      Side::Short,
      "AAPL".to_string(),
      100.0,
      ExpirationDate::Days(30.0),
      0.2,
      1,
      105.0,
      0.05,
      OptionStyle::Call,
      0.0,
      None,
   )
}
fn main() -> Result<(), Box<dyn Error>> {
   let option = create_sample_option();
   info!("Title: {}", option.title());
   info!("Greeks: {:?}", option.greeks());

   // Define a range of prices for the graph
   let price_range: Vec<f64> = (50..150).map(|x| x as f64).collect();

   // Generate the intrinsic value graph
   option.graph(&price_range,
                "Draws/Options/intrinsic_value_chart.png",
                25,
                (1400, 933),
                (10, 30),
                10
   )?;

   Ok(())
}
use optionstratlib::model::types::ExpirationDate;
use optionstratlib::strategies::base::Strategies;
use optionstratlib::strategies::bull_call_spread::BullCallSpread;
use optionstratlib::visualization::utils::Graph;
use std::error::Error;

fn main() -> Result<(), Box<dyn Error>> {
   let strategy = BullCallSpread::new(
      "GOLD".to_string(),
      2505.8,
      2460.0,
      2515.0,
      ExpirationDate::Days(30.0),
      0.2,
      0.05,
      0.0,
      1,
      27.26,
      5.33,
      0.58,
      0.58,
      0.55,
      0.55,
   );
   let price_range: Vec<f64> = (2400..2600).map(|x| x as f64).collect();
   info!("Title: {}", strategy.title());
   info!("Break Even {}", strategy.break_even());
   info!("Net Premium Received: {}", strategy.net_premium_received());
   info!("Max Profit: {}", strategy.max_profit());
   info!("Max Loss: {}", strategy.max_loss());
   info!("Total Cost: {}", strategy.total_cost());

   // Generate the intrinsic value graph
   strategy.graph(
      &price_range,
      "Draws/Strategy/bull_call_spread_value_chart.png",
      20,
      (1400, 933),
      (10, 30),
      15
   )?;
   Ok(())
}

Testing

To run unit tests:

make test

To run tests with coverage:

make coverage

Contribution and Contact

We welcome contributions to this project! If you would like to contribute, please follow these steps:

  1. Fork the repository.
  2. Create a new branch for your feature or bug fix.
  3. Make your changes and ensure that the project still builds and all tests pass.
  4. Commit your changes and push your branch to your forked repository.
  5. Submit a pull request to the main repository.

If you have any questions, issues, or would like to provide feedback, please feel free to contact the project maintainer:

Joaquín Béjar García

We appreciate your interest and look forward to your contributions!

Dependencies

~17MB
~294K SLoC