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Stonk Journal VS assertpy

Compare Stonk Journal VS assertpy and see what are their differences

Lucris
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Reviews
  3. ยป Alternatives

Stonk Journal logo Stonk Journal

Free trading journal with an AI coach that reviews your trades and helps you improve.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Stonk Journal
    Image date //
    2026-06-10
  • Stonk Journal
    Image date //
    2026-06-10

Stonk Journal turns your trade history into evidence you can actually act on. Log trades manually or import them by CSV or Excel, then see exactly where your edge comes from: win rate, profit factor, expectancy, R-multiple, average win and loss, hold time, equity curve, drawdown, and 30+ more metrics. A daily P&L heatmap shows your performance day by day with drill-down into every trade.

Set your own risk rules (max risk per trade, position size, daily loss limits, required fields) and get flagged in real time when a trade breaks one, so you can measure what your discipline is actually costing or earning you. Track paper, live, prop, and futures accounts separately, or view them aggregated. Filter your whole history by symbol, status, market, direction, tags, P&L range, date, and rule compliance in a single query. Multi-leg option spreads are detected automatically.

On Pro, the AI Coach reads only your journal to surface costly behavioral leaks like revenge sizing, overconfidence, and the disposition effect, and answers natural-language questions about your own trades. You can also generate shareable performance cards for X, Reddit, LinkedIn, and more.

No ads, no data sold, not financial advice. Established 2021, with over 10 million trades logged.

Key Features

  • 30+ performance metrics โ€” win rate, profit factor, expectancy, R-multiple, drawdown, equity curve
  • Daily P&L calendar heatmap with trade-level drill-down
  • Custom risk rules with real-time compliance flagging
  • AI Coach & AI chat over your own trade history (Pro)
  • Multi-account tracking (paper, live, prop, futures) plus an aggregated dashboard (Pro)
  • Universal filtering across symbol, market, tags, P&L, date, and compliance
  • Multi-leg options support with automatic spread detection
  • CSV & Excel import (Pro)
  • Shareable performance cards
  • Installable PWA with offline support
  • Stocks, options, futures, forex, and crypto
  • assertpy Landing page
    Landing page //
    2022-11-06

Stonk Journal

Website
stonkjournal.com
$ Details
free
Startup details
Country
United States
Edit details

assertpy

Website
github.com
$ Details
-
Categories
#Testing #Python
Edit details

Stonk Journal features and specs

  • User-Friendly Interface
    Stonk Journal offers a clean and intuitive design making it easy for users to navigate and find information on stocks and markets.
  • Comprehensive Analytics
    Provides detailed analytics and insights into market trends that help users make informed investment decisions.
  • Timely Updates
    Delivers real-time updates and notifications on stock performance and market news, ensuring users are always informed.
  • Community Interaction
    Includes a community feature for discussions and sharing insights with other users, fostering a collaborative environment.
  • Customizable Watchlists
    Allows users to create and customize watchlists to track their stocks of interest easily.

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.

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Category Popularity

0-100% (relative to Stonk Journal and assertpy)

Stonk Journal

assertpy

Trading
100 100%
Trading
0% 0
Testing
0 0%
Testing
100% 100
Finance
100 100%
Finance
0% 0
Python
0 0%
Python
100% 100

Questions & Answers

As answered by people managing Stonk Journal and assertpy.

What makes your product unique?

Stonk Journal's answer

User experience: providing a user-friendly interface and experience that caters to both beginners and experienced investors.

Why should a person choose your product over its competitors?

Stonk Journal's answer

Just try it. You don't need to buy it. ๐Ÿ˜€

User comments

Share your experience with using Stonk Journal and assertpy. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Stonk Journal seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Stonk Journal mentions (2)

  • May was a good month!
    I'm using StonkJournal. It's a separate app from my broker (TDA). Source: about 3 years ago
  • Trading Journal
    I built a journal stonkjournal.com... No import yet but I'm working on it. Check it out let me know what you think. It's free but if you really wan to pay for.. There is a way. :). Source: over 3 years ago

assertpy mentions (0)

We have not tracked any mentions of assertpy yet. Tracking of assertpy recommendations started around Mar 2021.

What are some alternatives?

When comparing Stonk Journal and assertpy, you can also consider the following products

TraderSync - Biometric trading journal to trade without emotion

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

TradesViz - An online trade logging platform that does it all! Logging, charting, sharing, trade management, risk analysis and many more! The best trading journal to find and visualize your trading edge.

Trademetria - Trading journal for traders and investors.

Traders Journal App - Turn trades into insights. Insights into Profit.

TradeLens - AI trading journal that coaches you to profitable.

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