Strategy Voting

v1.0.0

多策略投票交易系统。当用户说"投票策略"、"多策略"、"策略投票"、"综合信号"时触发。整合突破、RSI均值回归、MACD金叉、布林带四个策略,加权投票决定交易信号。

0· 141·1 current·1 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for huili203/strategy-voting.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Strategy Voting" (huili203/strategy-voting) from ClawHub.
Skill page: https://clawhub.ai/huili203/strategy-voting
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install strategy-voting

ClawHub CLI

Package manager switcher

npx clawhub@latest install strategy-voting
Security Scan
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Purpose & Capability
Name/description (多策略投票交易系统) align with the included Python implementation: four strategies (breakout, RSI reversion, MACD cross, Bollinger) and weighted voting logic are implemented. The skill does not request unrelated credentials or binaries.
Instruction Scope
SKILL.md tells the agent to run the bundled script at /root/.openclaw/workspace/skills/strategy-voting/scripts/voter.py which matches the provided file. The runtime instructions do not attempt to read unrelated files or environment variables. Note: the instructions only run a self-contained test dataset — they do not explain how to feed live market data or integrate with an exchange, and they do not declare required Python packages.
Install Mechanism
There is no install spec (instruction-only), so nothing external is downloaded. The code imports numpy and pandas but the skill does not declare or install these dependencies; this is an operational omission (may cause runtime errors) rather than a security red flag. No external URLs or archives are used.
Credentials
The skill declares no required environment variables or config paths and the code does not access environment secrets or network endpoints. There are no credential requests — proportional to being a local signal generator.
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or system configuration. It only prints a report and does not persist data or enable itself globally.
Assessment
What to consider before installing: (1) This skill appears to do exactly what it claims — generate weighted voting signals — and does not exfiltrate data or request credentials. (2) Operational notes: the script requires numpy and pandas but the skill provides no install steps; install those packages in the agent environment or add a dependency spec. (3) SKILL.md runs the script via a hard-coded workspace path — ensure the agent environment has the file at that location or adjust the path. (4) The included script uses a generated test dataset and has no broker/exchange integration — if you plan to connect it to live trading, review and add secure, explicit code for authentication and order execution (never paste API keys into untrusted skills). (5) If you need the agent to call this autonomously, be aware autonomous invocation is allowed by default; because this skill requests no secrets the risk is low, but always review integration code before giving it access to real funds.

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

latestvk972vgf404ays35p6tc8erhprh83ad49
141downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

多策略投票系统

综合多个技术指标策略,加权投票做出交易决策。

策略组成

策略权重说明
突破1.5x价格突破20日高点+成交量放大(回测最佳)
RSI均值回归1.0xRSI超卖(<30)买入,超买(>70)卖出
MACD金叉1.0xMACD线上穿/下穿信号线
布林带1.0x价格触及上下轨

使用方法

python3 /root/.openclaw/workspace/skills/strategy-voting/scripts/voter.py

决策规则

  • 综合得分 ≥ 1.5 → 做多
  • 综合得分 ≤ -1.5 → 平仓/做空
  • 其他 → 观望

集成

可与现有交易机器人配合,作为信号过滤器。

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