Line Your Own Pockets Next Steps with Amibroker
Jan 12, 2026
Michael's journey into AmiBroker begins with backtesting secrets and AI hurdles. Discover why good AFL code starts with quality examples. The conversation highlights the crucial role of a reusable column library in enhancing P&L. Tips on tackling coding challenges and emphasizing iterative testing provide clarity for beginners. Dave unveils the powerful MAPEKit AFL Generator for creating straightforward AFL code. Plus, insights on speeding up backtests and making systematic trading more accessible through LLMs make this a must-listen!
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Episode notes
Prime Your LLM With Real Code
- Feed working AmiBroker scripts to your LLM before asking for changes to dramatically improve results.
- Ask the LLM to explain each change so you learn AFL and detect mistakes early.
Context Trumps Clever Prompts
- LLMs require substantial context to be useful; giving minimal prompts produces poor results.
- A well-designed template or starting point unlocks far better outputs from AI.
Make The LLM Teach You
- Teach the LLM to explain code changes line-by-line so you can learn AFL while it codes.
- Use the explanations as inline notes to build your knowledge and perform 'bullshit detection'.