How I Improved My Pine Script Trading Strategy by 40% (and How You Can Too)

Pine Script runs on TradingView, which covers equities, forex, and crypto. The same strategy logic covered here applies directly to BTC/USDT, ETH/USDT, or any other pair you’re trading on TradingView. The repainting and overfitting problems I describe hit crypto traders especially hard given how volatile those markets are.

When I first started using Pine Script to automate my trading strategy, I made a crucial mistake, I assumed that once my backtest results looked good, I was done.

I wasn’t.

My initial script looked profitable in historical testing, but when I switched to live trading, everything fell apart. Entries were too early or too late, false signals wiped out gains, and my stop-loss placement seemed random. I was winning some trades, but losing just as many, leaving me with a break-even strategy at best.

This article is about how I fixed my script, optimized my entries, and increased my strategy’s profitability by 40% — not by overfitting, but by making smart, data-driven improvements.

If you’ve ever felt frustrated by inconsistent trading results, you’ll want to keep reading.

At first, I thought I had something solid:

• Buy when RSI crosses above 30 (oversold recovery)
• Sell when RSI crosses below 70 (overbought condition)
• Confirm with a simple moving average crossover

This seemed logical — after all, RSI crossovers are widely used for trend reversals. But when I looked at my live trading results, I saw some major issues:

1. Too many bad signals — RSI would cross above 30, but price wouldn’t actually move up.
2. No real trend filtering — I was buying into weak markets where reversals never happened.
3. Exit points were unreliable — sometimes taking profits too soon, other times letting small wins turn into losses.

A profitable strategy isn’t just about when to enter — it’s about when NOT to enter.

This is where strategy optimization comes in.