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Finance Trading
作者
Brioche-bit
· GitHub ↗
· v1.0.0
· MIT-0
826
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install finance-trading
功能描述
Implements a BTC/USDT paper trading strategy using EMA 20/50 and RSI indicators, with risk limits, stop loss, take profit, and trade logging.
使用说明 (SKILL.md)
Skill: finance-trading
La stratégie quantitative pour le paper trading BTC/USDT
1. Analyse Technique (1h et 15min)
Indicateurs :
- EMA 20 (Moyenne Mobile Exponentielle 20 périodes)
- EMA 50 (Moyenne Mobile Exponentielle 50 périodes)
- RSI (Relative Strength Index)
Signal d'Achat :
- EMA 20 > EMA 50 (crossing haussier)
- RSI entre 40 et 60 (momentum haussier)
Signal de Vente :
- EMA 20 \x3C EMA 50 (crossing baissier)
- RSI > 80 (surachat)
2. Gestion de Risque
- Mode : PAPER TRADING uniquement
- Taille maximum : 5% du capital fictif par trade
- Stop Loss : 2%
- Take Profit : 6%
3. Rapport & Suivi
- Journal :
trading_log.mdaprès chaque trade - Rapport quotidien : Chaque jour à 18h → rapport de performance avec solde, PnL, Win Rate, sentiment marché
4. Fréquence
- Vérification : Toutes les 15 minutes
- Veille : Le reste du temps
Exécution :
# Analyser le marché
fetch market-data BTC/USDT --timeframes 1h 15min
# Calculer les indicateurs
calculate-indicators --ema-20 --ema-50 --rsi
# Appliquer la stratégie
apply-strategy --mode paper --risk 5% --sl 2% --tp 6%
# Journaliser
log-trade --file trading_log.md
安全使用建议
Before installing or enabling this skill, ask the publisher for the implementation/source code and a list of required CLI tools and their origins (where do fetch, calculate-indicators, apply-strategy come from?). Confirm how market data will be obtained (which exchange or data provider) and whether any API keys will be required — never provide live exchange credentials unless you trust the code. Ask how scheduling is handled (agent-triggered, OS cron, or external service) and where trading_log.md is stored. Run the skill only in a sandboxed environment with no access to real funds until you can verify the concrete implementation. If the author cannot provide source or a vetted install path, treat the skill as untrusted because the instructions assume nonstandard tooling that is not supplied or documented.
功能分析
Type: OpenClaw Skill
Name: finance-trading
Version: 1.0.0
The skill bundle describes a standard quantitative trading strategy for BTC/USDT using technical indicators like EMA and RSI. The instructions in SKILL.md are consistent with the stated purpose of paper trading and financial analysis, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The skill claims to run a BTC/USDT paper-trading strategy, but SKILL.md uses nonstandard CLI commands (fetch market-data, calculate-indicators, apply-strategy, log-trade) while the metadata lists no required binaries, packages, or install steps. There's no source/homepage to explain where those commands come from. That mismatch means the skill as published lacks the declared capabilities needed to implement its stated purpose.
Instruction Scope
The instructions themselves are narrowly scoped to indicator calculation, trade decision rules, risk limits, and writing a local trading_log.md. They do not request secrets or access unrelated system files, nor do they send data to external endpoints. However, they assume the existence of specific CLI tools and a scheduling mechanism (15-minute checks, daily 18:00 report) that are not provided or described, leaving operational details ambiguous.
Install Mechanism
There is no install specification and no code files (instruction-only). This minimizes installer risk because nothing will be downloaded or written by an installer. The remaining concern is operational: the agent or environment must already have the unnamed CLI tools the instructions expect.
Credentials
The skill declares no environment variables or credentials. For paper trading this can be reasonable, but realistic market-data access often requires a data source or API key; the SKILL.md does not identify where market data comes from or whether any credentials are expected. Absence of declared credentials is either an omission or indicates the skill expects preinstalled tooling that encapsulates data access.
Persistence & Privilege
The skill does not request persistent presence (always:false) and does not declare permissions to modify other skills or system-wide agent settings. It writes a local log file (trading_log.md), which is within a reasonable scope for a trading logger.
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 finance-trading - 安装完成后，直接呼叫该 Skill 的名称或使用
/finance-trading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 the finance-trading skill for paper trading BTC/USDT
- Implements a quantitative strategy using EMA 20/50 crosses and RSI signals on 1h and 15min timeframes
- Supports strict risk management: 5% max per trade, 2% stop loss, 6% take profit
- Logs every trade to a journal and generates daily performance reports at 18:00
- Market conditions reviewed every 15 minutes
元数据
常见问题
Finance Trading 是什么？
Implements a BTC/USDT paper trading strategy using EMA 20/50 and RSI indicators, with risk limits, stop loss, take profit, and trade logging. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 826 次。
如何安装 Finance Trading？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install finance-trading」即可一键安装，无需额外配置。
Finance Trading 是免费的吗？
是的，Finance Trading 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Finance Trading 支持哪些平台？
Finance Trading 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 Finance Trading？
由 Brioche-bit（@brioche-bit）开发并维护，当前版本 v1.0.0。
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