ClawHub

ETF模拟交易回测系统

v1.0.0

ETF模拟交易回测系统。支持A股ETF日内交易策略的模拟交易与回测分析，包括BOLL、MACD、KDJ等技术指标组合判断，自动计算手续费、止损止盈、风险指标（最大回撤、夏普比率等）。适用于船舶ETF(560710)等标的的量化交易回测。当用户提及：ETF模拟交易、股票回测、量化交易策略回测、技术指标交易、回测分析...

⭐ 0· 183·3 current·3 all-time
by@tangsuann
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description (ETF backtest) align with included files: SKILL.md, config, rules, and a Python trade script that fetches market data and performs indicator calculations and simulated trades. The external HTTP endpoints (eastmoney) are consistent with getting market data.
ℹ
Instruction Scope
SKILL.md instructions and the script stick to fetching market data, computing indicators, generating signals, simulating trades, and producing reports. They do not request unrelated files, system credentials, or arbitrary data. Note: the skill will make network requests to eastmoney endpoints when triggered.
ℹ
Install Mechanism
No install spec (instruction-only + included Python script). This is low-risk, but the script depends on the Python 'requests' library (not declared). There is no packaged install and no arbitrary download from unknown URLs.
✓
Credentials
The skill declares no required environment variables, credentials, or config paths. The requested resource access (HTTP GET to market-data endpoints) is proportional to its stated function.
✓
Persistence & Privilege
always is false and the skill does not request elevated platform privileges or modify other skills. It can be invoked autonomously per platform defaults, which is expected for user-invocable skills.
Assessment
This skill appears to do what it says: fetch market data and run local simulations. Before installing: (1) be prepared to run the Python script (ensure Python and the 'requests' package are available), (2) note the script uses eastmoney HTTP endpoints (data is fetched over plain http in the shipped code — consider changing to https if you want encrypted transport), (3) run it in a sandbox or test environment and inspect/trust the external data source (eastmoney) before relying on results, and (4) remember simulation outputs are not investment advice.

Like a lobster shell, security has layers — review code before you run it.

latestvk973xksa9sv39sjv4x5h9xqq5n832yfq

License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Comments