⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

💹 Market & Finance Data

Quant System 5stepsv1.1.0

Name: Quant System 5steps
Author: pikachu022700

quant-system-5steps

pikachu022700

5-Step Quant Trading System with multi-source data, enhanced ML models, and 15+ strategy templates

data-analysisfinancetrading

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

939

Stars

CreatedMar 8, 2026

UpdatedMay 10, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install pikachu022700/quant-system-5steps

Skill Package3 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B50/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation7/35

· 664 downloads (moderate demand)
· No tracked installs (may still have real users via manual install)

Documentation16/25

· SKILL.md present
· Brief documentation (≥500 chars)
· Contains usage examples or trigger description
· Detailed summary

Package Completeness8/15

· skillAssets present (2 files)

Security Analysis

🔴 High Risk

UNKNOWN_DATA_SINKhigh

Sends data to undocumented external endpoint (potential exfiltration)

post → https://api.hyperliquid.xyz/info

UNDOCUMENTED_EXTERNALlow

Calls external URL not in known-safe list

https://clawhub.com/quant-system-5steps

Audited Apr 18, 2026 · audit v1.0

💡

Usage Guide

Generated Mar 21, 2026

Individual TradersQuantitative AnalystsFintech Developersintermediate

💡 Application Scenarios

Retail Trading Strategy DevelopmentFinance and Cryptocurrency Trading

Individual traders can use this system to develop and backtest custom trading strategies for cryptocurrencies like BTCUSDT. It provides 15+ strategy templates and enhanced ML models, allowing users to experiment with momentum, mean reversion, and other approaches using multi-source data from Hyperliquid and Binance.

Quantitative Research for Small FundsInvestment Management

Small hedge funds or investment firms can leverage this tool for quantitative analysis and strategy optimization. The system supports 50 features and improved parameters, enabling teams to build robust models and perform backtesting with 30+ technical indicators to validate trading ideas before deployment.

Educational Tool for Finance StudentsEducation and Training

Universities and training programs can integrate this system into courses on algorithmic trading and machine learning. Students can learn by running backtests, exploring strategy templates, and understanding data collection from sources like Hyperliquid, making it a hands-on resource for practical finance education.

Automated Trading Bot DevelopmentFintech and Software Development

Developers and fintech startups can use this package to create automated trading bots for cryptocurrency markets. With easy integration via Python and support for multiple strategies, it simplifies the process of building, testing, and optimizing bots using real-time data and enhanced ML models.

💼 Business Models

Freemium with Premium FeaturesSubscription fees from premium tiers

Offer the core system for free to attract users, then monetize through premium add-ons like advanced strategy templates, real-time data feeds, or cloud-based backtesting. This model leverages the current free pricing while planning future billing integration for scalability.

API and Data LicensingLicensing fees and API usage charges

Generate revenue by licensing the system's API or data processing capabilities to third-party platforms, such as trading apps or financial analytics tools. This leverages the multi-source data integration and ML models to provide value-added services to partners.

Consulting and Customization ServicesProject-based fees and service contracts

Provide consulting services to businesses needing tailored trading systems, including custom strategy development, model tuning, and integration support. This model capitalizes on the system's flexibility and advanced features to serve clients in finance and tech industries.

💬 Integration Tip

Ensure Python environment is set up with necessary dependencies, and configure API keys for Hyperliquid and Binance data sources to enable seamless data collection and backtesting.