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AI Trading Journal
作者
mars82311111
· GitHub ↗
· v1.0.0
· MIT-0
190
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trading-journal-ai
功能描述
Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los...
安全使用建议
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).
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install trading-journal-ai - 安装完成后，直接呼叫该 Skill 的名称或使用
/trading-journal-ai触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
AI Trading Journal 是什么？
Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 190 次。
如何安装 AI Trading Journal？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trading-journal-ai」即可一键安装，无需额外配置。
AI Trading Journal 是免费的吗？
是的，AI Trading Journal 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
AI Trading Journal 支持哪些平台？
AI Trading Journal 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 AI Trading Journal？
由 mars82311111（@mars82311111）开发并维护，当前版本 v1.0.0。
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