Communityv1.0.0

quant-trading-backtrader

Build, backtest, and optimize quantitative trading strategies in Python using Backtrader with support for indicators, risk management, and reporting.

1.8kdownloads1stars8active installsgmsx000-cloud
View on ClawHubBack to Skills

Skill Details

Slug
quant-trading-backtrader
Latest Version
1.0.0
Author
gmsx000-cloud
Published
Mar 1, 2026
Updated
May 11, 2026
Total Versions
1

How to Install

  1. 1 on OpenClawdBots (takes under 60 seconds).
  2. 2Open your bot dashboard and go to the Skills tab.
  3. 3Switch to the ClawHub tab and search for “quant-trading-backtrader”.
  4. 4Click Install and the skill is deployed to your bot automatically.

Changelog — v1.0.0

Initial release of quant-trading-backtrader. - Build and backtest quantitative trading strategies using the Backtrader framework in Python. - Includes structured examples for indicator-based strategies, risk management (stop-loss, take-profit, position sizing), and reporting (trade logs, PNL). - Supports flexible data input (CSV, pandas DataFrame). - Provides template code and best practices for robust, research-driven strategy development. - Example strategies included, such as a basic SMA crossover with stop-loss.