trading-bot-architecture

Design Solana trading bot architecture with modular components and risk controls.

3|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/SanctifiedOps/solana-skills --skill trading-bot-architecture
Or copy as Structured Prompt for Agent
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Skill: trading-bot-architecture
Source: https://github.com/SanctifiedOps/solana-skills/tree/main/skills/bots/trading-bot-architecture
Command: npx skills add https://github.com/SanctifiedOps/solana-skills --skill trading-bot-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides building robust, risk-managed Solana trading bots by outlining architecture, risk controls, and operational monitoring to minimize manual intervention and errors.

Core Features & Use Cases

  • Modular Architecture: Distinct data feed, signal, execution, and risk management components for easier testing and maintenance.
  • Risk Controls & Monitoring: Position sizing, kill switch, drawdown limits, logging for auditing and incident response.
  • Use Case: Implement a market-making bot across SOL/USDC and arbitrage bots across DEXes with failover RPCs and alerting.

Quick Start

Install and configure the trading bot architecture with your RPC endpoints, wallet, and risk settings; run in a safe test environment; monitor logs and alerts to verify behavior.

Frequently Asked Questions about trading-bot-architecture

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

FAQPage Schema
How do I design a Solana trading bot architecture for automated execution?

A Solana trading bot architecture uses modular components for data feeds, signal generation, execution, and risk management to safely automate trades. This structure supports market-making and arbitrage scenarios while enabling easier testing and maintenance.

What is the best way to implement risk controls in a Solana trading bot?

Implement risk controls in a Solana trading bot by integrating position sizing, drawdown limits, and a kill switch within a dedicated risk management module. Structured logging provides necessary auditing for incident response and operational monitoring.

Does this trading bot architecture support market-making and arbitrage on Solana DEXes?

Yes, the architecture explicitly supports market-making across pairs like SOL/USDC and arbitrage across Solana DEXes. It manages these automated scenarios using modular execution engines and robust operational monitoring.

How do I configure RPC failover for a Solana trading bot?

Configure RPC failover by establishing multiple RPC providers within your bot architecture to ensure continuous operation. This prevents automated trading interruptions when a primary Solana RPC endpoint fails.

Can I use this architecture to run a market-making bot for SOL/USDC?

Yes, you can use this architecture to run a market-making bot for SOL/USDC. It provides the necessary modular execution, signal generation, and risk management components to safely automate quotes and manage operational risk.

Why do I need structured logging and a kill switch in an automated trading system?

Structured logging and a kill switch are needed in an automated trading system to minimize manual intervention and safely limit financial exposure. These controls enable immediate incident response and auditing during unexpected market events.