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algo-trading

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Build and backtest live-ready trading systems.

Data & Analytics#risk-management#backtesting#algorithmic trading#technical-indicators#multi-asset#data-acquisition#quantitative-finance
Authorgitwalter
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Building production-ready algorithmic trading systems requires integrating data feeds, backtesting, risk controls, and signal generation in a repeatable way. This skill helps you design robust trading strategies and verify them against historical data to reduce risk before live deployment.

Core Features & Use Cases

  • Backtesting & Evaluation: Test strategies across assets with vectorized backtesting and performance metrics.
  • Indicator & Signal Pipeline: Compute common technical indicators and generate trading signals for automated execution.
  • Data & Risk Integration: Incorporate data sources (price, fundamentals) and apply risk management rules to multi-factor portfolios.

Quick Start

Run a quickstart to build a sample strategy, fetch data, and run a simulated backtest using the included templates.

Dependency Matrix

Required Modules

None required

Components

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: algo-trading
Download link: https://github.com/gitwalter/cursor-agent-factory/archive/main.zip#algo-trading

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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