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.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#558
MOST-STARRED JavaScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
Trading-Journal-AI gained 10 stars in the last 30 days, about 1 a day, and now has 71. It is about 1 year old and has averaged roughly 71 stars a year. It ranks #558 among JavaScript repositories and #7,141 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#952
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in JavaScript for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install Trading-Journal-AI using your package manager: `npm install Trading-Journal-AI`
Initialize your project workspace or configuration file for Trading-Journal-AI.
Import Trading-Journal-AI into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Trading-Journal-AI --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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 #7,141 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,124 | tantosec/tturl | Go | ★ 72 | Compare ↗ |
| #7,124 | heymi/aldus-palace | TypeScript | ★ 72 | Compare ↗ |
| #7,124 | yikangy873-gif/jev-desktop | JavaScript | ★ 72 | Compare ↗ |
| #7,124 | 1Panel-dev/laya-server | TypeScript | ★ 72 | Compare ↗ |
| #7,124 | JoinArtisanVent/x-scraper-no-api | JavaScript | ★ 72 | Compare ↗ |
| #7,141 | simonro/Trading-Journal-AI This Project | JavaScript | ★ 71 | |
| #7,141 | vanpelt/jsawesome | JavaScript | ★ 71 | Compare ↗ |
| #7,141 | queso/signal-wiki | Ruby | ★ 71 | Compare ↗ |
| #7,141 | pluginaweek/table_helper | Ruby | ★ 71 | Compare ↗ |
| #7,141 | monde/mms2r | Ruby | ★ 71 | Compare ↗ |
| #7,141 | bmc/fortune | CSS | ★ 71 | Compare ↗ |
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.
What language is Trading-Journal-AI written in? +
The primary language is JavaScript. Topics include: anthropic, claude, claude-code, day-trading, fastapi.
Is Trading-Journal-AI actively maintained? +
Yes, the last recorded push was on Sep 24, 2026 with 9 open issues being tracked.
How many stars does Trading-Journal-AI have? +
Trading-Journal-AI has 71 stars and 30 forks on GitHub.
How does Trading-Journal-AI rank among GitHub repositories? +
With 71 stars, simonro/Trading-Journal-AI is ranked #7,141 globally across all repositories tracked on GitHubRepo and #558 among JavaScript projects.
What license is Trading-Journal-AI distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
