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alsk1992
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strategy

Create, validate, backtest, and deploy trading strategies via natural language.

650|137|Updated Jan 26, 2026
Search Tags:#automation#strategy#bot#backtesting#trading#crypto
One-click install
npx skills add https://github.com/alsk1992/CloddsBot --skill strategy-alsk1992
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: strategy
Source: https://github.com/alsk1992/CloddsBot/tree/main/src/skills/bundled/strategy
Command: npx skills add https://github.com/alsk1992/CloddsBot --skill strategy-alsk1992

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill empowers users to create, manage, and deploy custom trading strategies using natural language or pre-built templates, automating complex trading decisions.

Core Features & Use Cases

  • Natural Language Strategy Creation: Define strategies using plain English descriptions.
  • Template-Based Strategies: Utilize pre-built templates like momentum, mean-reversion, and arbitrage.
  • Backtesting & Validation: Test strategies with historical data and validate them before live deployment.
  • Live Trading Activation: Activate strategies for automated trading with risk management controls.
  • Use Case: A user can describe a strategy like "Buy when the price drops 5% in an hour and sell when it recovers 3%" and have the bot create, test, and deploy it.

Quick Start

Use the strategy skill to create a new momentum trading strategy named 'my-momentum-bot'.

Frequently Asked Questions about strategy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a custom trading strategy using natural language?▼

You can create a custom trading strategy by providing a plain English description of your logic, such as entry and exit conditions, which the system translates into a testable and deployable automated bot.

Can I backtest a crypto trading bot before live deployment?▼

Yes, the system supports backtesting and validation using historical data to evaluate strategy performance and apply risk management parameters before you activate it for live automated trading.

What pre-built templates are available for algorithmic trading?▼

The Skill includes pre-defined templates for common algorithmic approaches like momentum, mean-reversion, and arbitrage, allowing you to quickly deploy standard strategies without coding from scratch.

Does the trading bot execution require a specific API or programming environment?▼

It integrates with trading platforms via a TypeScript API to ensure deterministic task execution, providing a structured environment for managing and deploying your validated strategies.

How do I apply risk management controls to an automated trading strategy?▼

You can configure risk management parameters during the strategy validation phase or before live trading activation, ensuring your automated bot operates within your defined risk tolerance limits.

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