AI Optimization
The AI reviews every strategy you build and tells you exactly how to make it better.
AI Optimization is not a separate step you trigger — it is built into the process. After every strategy build or change, the AI reviews what you created and offers concrete suggestions for improvement. It looks for what is genuinely worth fixing: better win rate, lower drawdown, stronger profit factor. It also knows when something is wrong — and will tell you.
What the AI does
After every build or modification, the AI automatically reviews the strategy and surfaces up to 5 specific improvement suggestions. Each one targets something measurable — not generic advice, but actual changes with a clear expected impact.
Overfitting warnings
A strategy that looks perfect on historical data but fails in live markets is worse than a mediocre one. The AI is built to recognize the signs — too many conditions, overly specific parameters, results that are too clean — and will warn you before you build something that only works on paper.
This is not a checkbox. It is a core part of how the AI evaluates quality — a strategy that passes optimization but fails the health check will not be treated as a good result.
How suggestions work
The AI improves what you built — it does not replace your strategy with something else. Each suggestion is a specific, actionable change to your existing logic. You decide which ones to apply. When you do, the backtest updates automatically and the AI reviews the result again.
A system that keeps getting better
AI Optimization is the part of Charton that will improve the most over time. As the system learns from more strategies and more market conditions, the quality and precision of suggestions will increase. What it offers today is already the core — the foundation will only get stronger.