Where are my trades stored?

Trades are saved locally on your machine in a file named trades.jsonl within the .openclaw workspace directory.

Does this skill execute actual trades on an exchange?

No, this skill is specifically designed for logging, journaling, and memory purposes to track trade history and signals.

How can I access the logged trade data?

Since the data is stored in a standard JSONL format, you can open the file with any text editor or ask Claude to read and analyze the file for you.

Can I record custom notes with my trades?

Yes, the skill includes a 'note' field where you can record the rationale, strategy, or market conditions for each trade entry.

Trade Memory & Journaling

Name: Trade Memory & Journaling
Author: dvcrn

bydvcrn

•

Analytics & Monitoring

Logs trading signals and execution data to a local JSONL file for persistent history tracking and performance analysis.

Trade Memory provides a reliable way to maintain a structured local ledger of trade signals and executed positions directly within your Claude environment. By capturing essential metrics—including entry prices, stop losses, take profits, and custom notes—in a standardized JSONL format, the skill helps you build a comprehensive dataset for historical auditing and trading performance review without the need for a complex database infrastructure.

Key Features

01Automated local trade logging to JSONL format

02Automatic directory and file creation if they do not exist

03Support for custom notes and signal source attribution

04Standardized capture of entry, SL, TP, and risk parameters

053 GitHub stars

06Persistent local storage for long-term trading history

Use Cases

01Building a structured dataset for backtesting or auditing

02Recording signals generated by AI market analysis tools

03Maintaining a manual trading journal using natural language

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace trade-memory

For use in Claude.ai and ChatGPT

Key Features

01Automated local trade logging to JSONL format

02Automatic directory and file creation if they do not exist

03Support for custom notes and signal source attribution

04Standardized capture of entry, SL, TP, and risk parameters

053 GitHub stars

06Persistent local storage for long-term trading history

Use Cases

01Building a structured dataset for backtesting or auditing

02Recording signals generated by AI market analysis tools

03Maintaining a manual trading journal using natural language

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace trade-memory

For use in Claude.ai and ChatGPT