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simonro/Trading-Journal-AI

Local-first AI trading journal. Import your broker CSV, get round-trip trades, KPIs and Claude-powered diary analysis. Runs on your own machine. No account, no telemetry, MIT.

Python ◇ anthropic MIT
★110STARS
⑂46FORKS
!13ISSUES
🏆#25,473GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

Trading-Journal-AI is Trading-Journal-AI is an open-source project written in JavaScript: Local-first AI trading journal. Import your broker CSV, get round-trip trades, KPIs and Claude-powered diary analysis. Runs on your own machine. No account, no telemetry, MIT..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), simonro/Trading-Journal-AI has accumulated 110 GitHub stars and 46 forks. It is written in Python, licensed under MIT, and ranks #25,473 globally. It is actively maintained with the latest commit recorded on Nov 8, 2026.”
Repository simonro/Trading-Journal-AI ↗
Primary Category anthropic
Language & Stack Python
Software License MIT
Community Traction ★ 110 stars · ⑂ 46 forks · #25,473 globally
Maintenance ● Active (Last commit: Nov 8, 2026) · 13 open issues
Target Audience Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is Trading-Journal-AI actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, Trading-Journal-AI is actively maintained. Continuous telemetry recorded the last code commit on Nov 8, 2026 (4 days ago). Supported by 110 stars and 46 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 8, 2026
4 days since last push
Issue Backlog
13 Open Issues
Healthy Issue Cadence
Community Backing
46 Forks
110 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for simonro/Trading-Journal-AI
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Momentum

+33

STARS · LAST 30 DAYS

1

PER DAY

#3,560

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+33+33+90
Per day511
Forks gained+14+14+10

Trading-Journal-AI gained 33 stars in the last 30 days, about 1 a day, and now has 110. It is about 1 year old and has averaged roughly 110 stars a year. It ranks #3,560 among Python repositories and #25,473 across all languages on GitHubRepo.

Trending Record

Trading-Journal-AI has maintained a continuous presence across global trending indexes, peaking at #952. Below is the 30-day activity profile:

💡 Overview

Trading-Journal-AI is an open-source project written in JavaScript: Local-first AI trading journal. Import your broker CSV, get round-trip trades, KPIs and Claude-powered diary analysis. Runs on your own machine. No account, no telemetry, MIT.

Engineered for speed, consistency, and developer ease, it solves common hurdles in anthropic, claude, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in JavaScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install Trading-Journal-AI

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Trading-Journal-AI coordinates its core functionality through a modular JavaScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Modern Web Interfaces

Build dynamic, responsive user experiences with component-driven architecture.

Enterprise Design Systems

Standardize design tokens, accessible widgets, and themes across engineering teams.

Interactive Data Dashboards

Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.

Cross-Platform Web Apps

Deploy performant single-page applications optimized for both mobile and desktop browsers.

🚀 Getting Started

1

Install Trading-Journal-AI using your package manager: `npm install Trading-Journal-AI`

2

Initialize your project workspace or configuration file for Trading-Journal-AI.

3

Import Trading-Journal-AI into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Trading-Journal-AI --help` to verify successful setup.

👍 Strengths

Active community backing with 66 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in JavaScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with JavaScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

simonro/Trading-Journal-AI is currently ranked #25,473 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#25,373 gojko/lights-on-software-factory JavaScript ★ 111 Compare ↗
#25,373 Valenced/valenced-manager Kotlin ★ 111 Compare ↗
#25,373 azlen/initialis JavaScript ★ 111 Compare ↗
#25,373 modem-dev/boxery JavaScript ★ 111 Compare ↗
#25,373 H4CNPE/YumEdit Swift ★ 111 Compare ↗
#25,473 simonro/Trading-Journal-AI This Project Python ★ 110
#25,473 dan-manges/unit-record Ruby ★ 110 Compare ↗
#25,473 hinke/the-cloud-player JavaScript ★ 110 Compare ↗
#25,473 xmpppy/xmpppy Python ★ 110 Compare ↗
#25,473 creationix/jquery-haml JavaScript ★ 110 Compare ↗
#25,473 danielsdeleo/qusion Ruby ★ 110 Compare ↗
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Frequently Asked Questions

What does Trading-Journal-AI do? +

Local-first AI trading journal. Import your broker CSV, get round-trip trades, KPIs and Claude-powered diary analysis. Runs on your own machine. No account, no telemetry, MIT.

Is Trading-Journal-AI actively maintained in 2026? +

Yes, Trading-Journal-AI is actively maintained. The latest code push was recorded on Nov 8, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 110 stars and 13 open issues.

What language is Trading-Journal-AI written in? +

The primary language is Python. Topics include: anthropic, claude, claude-code, day-trading, fastapi.

How many stars does Trading-Journal-AI have? +

Trading-Journal-AI has 110 stars and 46 forks on GitHub.

How does Trading-Journal-AI rank among GitHub repositories? +

With 110 stars, simonro/Trading-Journal-AI is ranked #25,473 globally across all repositories tracked on GitHubRepo and #3,560 among Python projects.

What license is Trading-Journal-AI distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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