
I built a screener that shows the backtested win rate, profit factor, and sample size on every setup it surfaces. 14-day free trial, iOS + Android.
I swing trade around a day job, so my whole edge is prep, not reaction. I can't watch intraday. I'm in meetings. What I can do is sit down on a Sunday, figure out what I want to be in for the week, then set it and go live my life.
The problem was the prep itself. I'd scroll through a hundred charts building a watchlist, and by Monday's open I'd half-forgotten why half the tickers were even on the list. Worse, I had no edge data on any of them. I just had a feeling the setup looked good. Every trader knows how that ends.
So I built the thing I actually wanted. A swipe feed of setups that have already triggered across the universe, where every card shows the historical win rate, profit factor, and sample size before I decide whether it's worth my attention. Ten minutes on a Sunday instead of two hours, and what's left is the handful that actually backtest, not the fifty that just look pretty.
The bet behind it is simple. Retail traders don't need to become quants. You don't need Python, backtest infrastructure, or a stats degree. The unlock is becoming systematic. Rules you can follow. Evidence you can trust. Risk defined before you enter, instead of in a panic halfway into a loss.
What it does:
- Swipe through the setups triggering across the universe. Each card carries win rate, profit factor, sample size, average return, and drawdown, so you spend attention on the few worth it.
- A library of pre-built screens: momentum continuation, mean reversion, breakouts, gaps, pullbacks, VWAP reclaim, RVOL, Bollinger squeeze, MACD families. Built for swing setups on daily and weekly timeframes, with intraday there too.
- 500+ US stocks, futures and ETFs across 7 timeframes. Crypto in beta.
The part I care about most is that the numbers are honest. There's one daily breakout screen I track that wins about 68% of the time and still loses money. Profit factor under 1, net negative across the sample, because the losers are bigger than the winners. Win rate is the stat that lies. So the app puts profit factor, sample size, and drawdown right next to it, because the headline number on its own is exactly how people get hurt.
Two of us built this. Free 14-day trial, then it's $25/mo (or $150/yr). No card needed to look around on the web version.
Install: https://chartmath.com/app