← Back to Skills Marketplace
5969
Downloads
12
Stars
18
Active Installs
1
Versions
Install in OpenClaw
/install crypto-self-learning
Description
Self-learning system for crypto trading. Logs trades with full context (indicators, market conditions), analyzes patterns of wins/losses, and auto-updates trading rules. Use to log trades, analyze performance, identify what works/fails, and continuously improve trading accuracy.
Usage Guidance
Safe to install if you want a local trade journal and analysis helper. Review generated rules before applying them to MEMORY.md, use --dry-run first, keep backups of memory files, and do not treat learned rules as financial advice or allow them to trade automatically without human review.
Capability Analysis
Type: OpenClaw Skill
Name: crypto-self-learning
Version: 1.0.0
The OpenClaw skill 'crypto-self-learning' is designed for local crypto trade analysis and rule generation. All scripts (`analyze.py`, `generate_rules.py`, `log_trade.py`, `update_memory.py`) operate on local JSON files within the skill's `data` directory. The `SKILL.md` instructions and the `update_memory.py` script's modification of `MEMORY.md` are directly aligned with the stated purpose of updating the agent's learned rules, without any evidence of prompt injection, data exfiltration, remote execution, or other malicious behaviors. Required binaries (`jq`, `python3`) are standard and appropriate for the task.
Capability Assessment
Purpose & Capability
The scripts match the stated purpose of logging trades, analyzing patterns, generating local rules, and optionally adding those rules to agent memory; outputs may influence financial decisions and should be treated as advisory.
Instruction Scope
The SKILL.md command examples are explicit, and the memory update command requires a user-supplied MEMORY.md path with a documented dry-run option, though the default update command writes to that file.
Install Mechanism
There is no installer or obfuscated setup; the package contains visible Python scripts and a data file. SKILL.md references weekly_review.py, but that helper is not included, so that command should not be run from an unreviewed source.
Credentials
The artifact uses local Python and JSON files, with no network calls, exchange credentials, API keys, remote execution, or account actions observed.
Persistence & Privilege
Persistence is expected for this purpose: trades are stored under the skill data directory, generated rules are saved locally, and update_memory.py can rewrite the user-selected memory file.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install crypto-self-learning - After installation, invoke the skill by name or use
/crypto-self-learning - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Self-learning system for crypto trading. Logs trades, analyzes patterns, generates rules, and auto-updates agent memory for continuous improvement.
Metadata
Frequently Asked Questions
What is Crypto Self-Learning?
Self-learning system for crypto trading. Logs trades with full context (indicators, market conditions), analyzes patterns of wins/losses, and auto-updates trading rules. Use to log trades, analyze performance, identify what works/fails, and continuously improve trading accuracy. It is an AI Agent Skill for Claude Code / OpenClaw, with 5969 downloads so far.
How do I install Crypto Self-Learning?
Run "/install crypto-self-learning" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Crypto Self-Learning free?
Yes, Crypto Self-Learning is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Crypto Self-Learning support?
Crypto Self-Learning is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Crypto Self-Learning?
It is built and maintained by totaleasy (@totaleasy); the current version is v1.0.0.
More Skills