Show HN: I built a tool to find trading signals that aren't just random luck

Hi HN,

I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex].

I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise.

Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like:

* *Low p-value:* Evidence that the performance is not a random fluke. * *High Sharpe Ratio:* Better risk-adjusted returns. * *Healthy 'Core Performance':* The average return after removing the single best outlier trade, for a more conservative view. * Other key metrics like Profit Factor and Max Drawdown that you can filter by.

I'm looking for my first users and would love your feedback. I'm offering a 30-day free trial of the Pro plan (which includes Telegram alerts) with no credit card required.

You can check it out here: [Your URL]

I'll be here all day to answer any questions. I'm especially keen to hear feedback on the concept and the metrics.

Thanks, HN!

### Key Changes and Why:

* *Title:* The new title is a bit more punchy and frames the problem more directly. Your original is also very good, so feel free to stick with it. * *Added Market:* Specifying the asset class `[e.g., US equities, crypto, forex]` is crucial. Users will immediately want to know if it's relevant to them. * *Refined Hook:* "I was tired of backtests that looked great on paper but failed in practice" is a very relatable pain point for anyone in this space. * *Bolding:* Using bold for the key metrics makes them easier to scan.