Optimize Pine Script Expectancy

I built a TradingView Pine Script strategy with ChatGPT and now need deeper, data-driven refinement. The job is two-fold: first, run solid multi-year back-tests; second, rewrite or tune the code so it trades more often while lifting expectancy (my sole profitability yard-stick). What has to improve • Entry & exit signals – better timing accuracy, clearer chart marks, and the flexibility to keep working across shifting market conditions. • Risk management – smarter stop-loss logic that adapts to market volatility; fixed distances are fine only if they prove superior. Position sizing can stay as is for now; the focus is expectancy. Your process is up to you, but everything must compile in Pine Script v6 and be reproducible on TradingView. I’ll share the current script plus baseline metrics. Please return: 1. A revised, fully commented Pine Script file. 2. Before-and-after back-test results highlighting expectancy, trade count and max drawdown. 3. A brief technical note explaining each change so I can iterate further. Acceptance criteria – Expectancy noticeably higher than the baseline without a proportional rise in drawdown. – Trade frequency increased. – Strategy runs error-free on TradingView. If this sounds within your wheelhouse, let’s talk details and get the tests running.

Project ID: 40346387