What is Trading Journal Assistant?
Trading Journal Assistant is a AI tool that This AI records and analyzes past trades. It works by storing entry points, exit points, and emotional notes to detect patterns. It solves repeated trading mistakes. Pricing starts at $12 per month. U. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x5730d96e93e309f8b5856a8d5f8dba463f405626. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Trading Journal Assistant Does
Trading Journal Assistant is a agent in the AI tool category. This AI records and analyzes past trades. It works by storing entry points, exit points, and emotional notes to detect patterns. It solves repeated trading mistakes. Pricing starts at $12 per month. Users log trades manually or sync accounts for automatic recording.. It is published by 0x5730d96e93e309f8b5856a8d5f8dba463f405626 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Trading Journal Assistant
Trading Journal Assistant is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x5730d96e93e309f8b5856a8d5f8dba463f405626 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=trading-journal-assistant
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.