Quant Trading System

Automated Trading System with Multi-Strategy Voting

This skill appears to be an internally consistent trading/demo package rather than malicious code, but review the following before running: (1) It makes outbound requests to a third-party API (https://api.hyperliquid.xyz). If you don't trust that host, run the code in a sandbox or block network egress. (2) Several files run a local HTTP server (dashboard) and trading_system_v3 binds to 0.0.0.0 — consider restricting it to localhost or firewalling the port if you don't want it exposed to your LAN. (3) No credentials are requested by the package, but if you adapt it to real trading you will need exchange API keys — only provide those to trusted code and services. (4) The package includes a hard-coded wallet address (non-secret) in source; that's informational but worth noting. If you want higher assurance, run the code in an isolated environment and inspect or remove the dashboard before use.

Type: OpenClaw Skill Name: quant-trading-system Version: 6.0.0 The skill bundle contains a collection of Python scripts for a quantitative trading system, ranging from simple CLI tools to multi-agent systems with strategy libraries and a dashboard. The code primarily focuses on paper trading logic, fetching market data from the legitimate Hyperliquid API (api.hyperliquid.xyz), and calculating technical indicators using NumPy. There is no evidence of data exfiltration, malicious execution, or prompt injection; the hardcoded wallet address in 'auto_trader.py' and 'trading_system_v2.py' is used only for display purposes in status reports.