It sounds like you're working on finding highs and lows in financial OHLC data to help determine when prices cross important support or resistance lines. If you're looking for a solution that could automatically detect significant oscillations and trend lines, I'd like to suggest Oscillation Spotter, a Python library designed to spot sharp movements in asset prices over short time frames.

Oscillation Spotter can help identify key oscillations, which can be useful for detecting significant highs and lows, and make it easier to set alert criteria for crossovers. The library is open-source, easy to use, and could simplify your current approach to detecting trends without needing to manually define highs and lows or draw virtual trend lines.

Feel free to check out Oscillation Spotter on PyPI and see if it aligns with what you're trying to accomplish. I'd be happy to hear if this helps or if you have more questions about applying it to your data!