assertpy

Website

github.com

Pricing URL

-

$ Details

-

Platforms

-

Release Date

-

Categories

#Testing #Python

Vega Options

Website

vega-options.com

Pricing URL

Official Vega Options Pricing

$ Details

paid $5 / Annually (Early Adopter program - $5 for 1 year of access)

Platforms

Web

Release Date

2026 May

Categories

#Trading #Finance #Investing #Fintech

Startup details

Country

United States

State

NH

City

Manchester

Employees

1 - 9

assertpy features and specs

• Fluent API
  Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
• Chainable Assertions
  It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
• Comprehensive Assertion Methods
  The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
• Extensibility
  Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
• Pythonic
  Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

• Learning Curve
  Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
• Limited by Python Version
  The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
• Performance Overhead
  The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
• Less Community Support
  Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
• Dependency Management
  Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Vega Options features and specs

• Gamma Exposure (GEX) + Gamma Pin
  Visualize where dealer hedging creates gravity in the market. The Gamma Pin identifies the strike where dealer flow flips from stabilizing to amplifying price moves, a level the market tends to gravitate toward into expiry.
• Open Interest Butterfly
  Call and put OI plotted side-by-side at every strike. Spot support and resistance walls instantly, with outlier strikes clipped automatically so the ATM action is always front and center.
• Max Pain & Key Metrics
  Real-time max pain, implied move, put/call OI ratio, and put/call volume ratio, all surfaced as a metrics bar above every chart. The numbers that matter, without the math.
• Earnings Expiry Signal
  Upcoming earnings dates are detected automatically. The first post-earnings expiry is flagged in the discovery panel, so you're never accidentally analyzing a pre-event chain.
• P&L Simulator
  Model your position before you place it. Adjust underlying price, implied volatility, and days to expiry to see exactly how your P&L moves across scenarios, before a single dollar is at risk.
• Signal Interpretation
  A built-in analysis layer reads the chain for you, classifying OI positioning, IV skew, and volume conviction into a plain-English directional signal across multiple expiries simultaneously.
• IV Skew Chart
  Implied volatility across every strike, calls and puts overlaid on a single chart. A steep put skew means the market is pricing real downside risk. See it before it shows up in price.

Analysis of assertpy

Analysis of Vega Options