Does this skill execute trades directly?

No, this skill focuses on the memory, logging, and decision-tracking framework. It is intended to work alongside an execution system to provide the necessary context and historical data for smarter decisions.

What types of data does this skill manage?

It manages daily Markdown logs, JSON state snapshots for system status, long-term MEMORY.md files, and dedicated rule and mistake catalogs.

How does this skill help with trading strategy improvement?

It creates a systematic record of every decision, allowing Claude to learn from past successes and failures by automatically refining its rule base and identifying common mistakes.

Can I customize the trading rules stored in the memory?

Yes, the skill is designed to manage and track a rule base (e.g., R001-R006) which you can define, validate, and update based on historical verification results.

Is there an automated cleanup process for old data?

Yes, the skill includes maintenance protocols to archive memories older than 30 days and evaluate memory quality on a weekly basis to keep the system performant.

Trading Memory Management

Name: Trading Memory Management
Author: dvcrn

bydvcrn

•

分析与监控

Optimizes trading decision-making by standardizing logs, capturing system states, and automating the refinement of trading rules and mistake tracking.

The Trading Memory Management skill provides a robust framework for Claude to manage PAI trading system data effectively. It standardizes the recording of daily trading logs, maintains system state snapshots, and organizes a dedicated rule and mistake database. By automatically distilling experiences into long-term memory and archiving low-value data, it ensures that Claude can effectively retrieve historical context, compare decisions, and improve trading strategies over time through systematic knowledge retention and maintenance protocols.

主要功能

015 GitHub stars

02Structured management of rule bases and mistake catalogs for strategy refinement

03Scheduled maintenance protocols for memory archiving and quality assessment

04Standardized trading log generation with timestamps and confidence levels

05Comprehensive state snapshotting for tracking cycle counts and system status

06Automated extraction of high-value insights from daily trading activities

使用场景

01Performing post-trade analysis to identify recurring errors and refine entry/exit rules

02Tracking and auditing daily cryptocurrency trading decisions and execution results

03Maintaining a long-term knowledge base of market conditions and corresponding system performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace trading-memory-management

For use in Claude.ai and ChatGPT

主要功能

015 GitHub stars

02Structured management of rule bases and mistake catalogs for strategy refinement

03Scheduled maintenance protocols for memory archiving and quality assessment

04Standardized trading log generation with timestamps and confidence levels

05Comprehensive state snapshotting for tracking cycle counts and system status

06Automated extraction of high-value insights from daily trading activities

使用场景

01Performing post-trade analysis to identify recurring errors and refine entry/exit rules

02Tracking and auditing daily cryptocurrency trading decisions and execution results

03Maintaining a long-term knowledge base of market conditions and corresponding system performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace trading-memory-management

For use in Claude.ai and ChatGPT