Build Trading Strategies

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by robonet-tech · vlatest · Repository

Develops automated trading strategies based on market data and user-defined risk/reward preferences using Robonet-Tech's AI algorithms.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add build-trading-strategies npx -- -y @trustedskills/build-trading-strategies
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "build-trading-strategies": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/build-trading-strategies"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill generates complete, production-ready Python code for automated crypto trading strategies and Polymarket prediction market strategies using Robonet-Tech's AI algorithms. It takes a strategy concept and detailed requirements as input and returns fully functional code including functions for entry/exit conditions and position sizing. Be aware that this is the most expensive tool in Robonet, costing between $1 and $4.50 per generation.

When to use it

  • You have a clear trading strategy concept with specific indicators and symbols you want to use.
  • You've already explored data availability using browse-robonet-data.
  • You are ready to commit to the relatively high cost of development ($1-$4.50).
  • You need code for a new crypto perpetual trading strategy.
  • You want to generate Polymarket strategies with YES/NO token trading logic.

Key capabilities

  • create_strategy: Generates Python code for crypto trading strategies, including should_long(), should_short(), go_long(), and go_short() functions.
  • create_prediction_market_strategy: Generates Polymarket strategy code with YES/NO token trading logic.
  • Supports risk level designations (H, M, L) in strategy names.
  • Allows specification of entry/exit conditions, position sizing, and risk management rules within the description parameter.

Example prompts

  • "create_strategy(strategy_name='RSIMeanReversion_M', description='Buy when RSI(14) < 30 and price at lower Bollinger Band (20,2). Sell when RSI > 70 or price at middle Bollinger Band. Stop loss at 2% below entry. Position size 90% of available margin.')"
  • "create_prediction_market_strategy(strategy_name='VolatilityBreakout_H', description='Buy YES tokens if implied volatility exceeds 50%.')"
  • "create_strategy(strategy_name='MomentumBreakout_L_v2', description='Enter long position when MACD crosses above signal line. Exit at a predefined take profit level.')"

Tips & gotchas

  • Cost: This is the most expensive tool in Robonet, with costs ranging from $1 to $4.50 per generation.
  • Prerequisites: Before using this skill, ensure you've explored data availability using browse-robonet-data. If you are still exploring ideas, use design-trading-strategies instead.
  • Naming Convention: Strategy names must follow the pattern {Name}_{RiskLevel}[_suffix].

Tags

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Details

Version
vlatest
License
Author
robonet-tech
Installs
53

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Passed automated security scans.