jim-simons
OfficialTrade like a Medallion quant - data-driven edge.
Finance & Accounting#signals#risk-management#data-driven#backtest#mean-reversion#quant-trading#statistical-arbitrage
Authorcubexch
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Enable users to discuss and implement Jim Simons-inspired, pure quantitative trading with a robust statistical edge, free of emotion.
Core Features & Use Cases
- Quantitative signal generation and evaluation across crypto and traditional markets
- Backtesting, decay analysis, and risk-controlled sizing for mean-reversion and statistical-arbitrage patterns
- Execution guidance with disciplined sizing, cost-awareness, and transparency into edge dynamics
- Use Case: Imagine aligning a diversified set of small, data-driven signals to form a tradable portfolio with constant monitoring
Quick Start
Backtest a mean-reversion signal across crypto pairs and review its edge, decay, and optimal Kelly-based position size.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: jim-simons Download link: https://github.com/cubexch/ai-fund/archive/main.zip#jim-simons Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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