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AI Trading Journal
by
mars82311111
· GitHub ↗
· v1.0.0
· MIT-0
190
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0
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0
Active Installs
1
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Install in OpenClaw
/install trading-journal-ai
Description
Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los...
Usage Guidance
This skill appears internally consistent: it stores a local JSON journal and generates reports, and it does not request credentials or install code. Before installing, (1) verify the publisher/owner mismatch in _meta.json vs registry metadata to ensure you trust the source; (2) be aware the journal file (~/.openclaw/workspace/trading/journal.json) will contain sensitive financial data — consider encrypting or restricting file permissions and backing it up securely; (3) review any other skills you plan to connect (binance-pro, skill-crypto-threshold-watcher, backtest-expert) because those may require API keys or external network access and could transmit journal data; and (4) confirm that the agent's access to the filesystem is acceptable for you (the skill expects the agent to write/read the journal file).
Capability Analysis
Type: OpenClaw Skill
Name: trading-journal-ai
Version: 1.0.0
The skill bundle is a legitimate trading journal tool designed to log, track, and analyze cryptocurrency trades. It uses a local JSON file (~/.openclaw/workspace/trading/journal.json) for storage and provides structured templates for trade entry, exit, and performance reporting without any signs of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description (trade logging, reports, pattern identification) align with the SKILL.md: all instructions focus on recording trades to a local journal and producing summaries. The integrations named (other skills like skill-crypto-threshold-watcher, binance-pro) are plausible collaborators and consistent with a trading-journal skill. One mismatch: registry Owner ID (kn7fqjbnftt52xn0jx866j99hx828z2y) differs from _meta.json ownerId (kn7dj907h1ps8kt92wbdspr01d820vzf); this is an administrative inconsistency worth verifying with the publisher but does not by itself change the functional coherence.
Instruction Scope
Runtime instructions are narrowly scoped: they read/write a local file (~/.openclaw/workspace/trading/journal.json), validate required trade fields, and produce weekly/monthly summaries. The skill does not instruct reading unrelated system files, accessing arbitrary env vars, or exfiltrating data to external endpoints. It references other skills for signals/context — those may introduce additional behaviors, but are outside this skill's instructions.
Install Mechanism
No install spec and no code files — instruction-only. Nothing is downloaded or written by an installer, minimizing supply-chain risk.
Credentials
Requires no environment variables, credentials, or config paths. This is proportionate to a local journal skill. Note: connecting this skill to execution or exchange-integration skills (e.g., binance-pro) could cause sensitive credentials to be used by those other skills — review those skills before linking.
Persistence & Privilege
always:false and default model invocation are appropriate. The skill writes/reads a local journal file only; it does not request permanent platform privileges or modify other skills' configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trading-journal-ai - After installation, invoke the skill by name or use
/trading-journal-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of trading-journal-ai.
- Systematic trade logging with full context for each trade (thesis, entry/exit, PnL, emotion, lesson).
- Automatic generation of weekly and monthly performance reports.
- Pattern identification in winning and losing trades to improve strategies.
- Emotion tracking to correlate with trade outcomes.
- Integration points for signal sources and trading pipeline.
- Rules enforcement checklist before logging new trades.
Metadata
Frequently Asked Questions
What is AI Trading Journal?
Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los... It is an AI Agent Skill for Claude Code / OpenClaw, with 190 downloads so far.
How do I install AI Trading Journal?
Run "/install trading-journal-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI Trading Journal free?
Yes, AI Trading Journal is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AI Trading Journal support?
AI Trading Journal is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI Trading Journal?
It is built and maintained by mars82311111 (@mars82311111); the current version is v1.0.0.
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