Xuantify › FAQ
The questions traders actually ask
Straight, measured answers — about whether an indicator works, which settings hold up, which combinations help, and the things that quietly decide results. No hype, no performance promises.
Does this indicator actually work?
We test every indicator on real market data with an honest, measured method — no cherry-picked screenshots from sellers. You get a plain-language read on where it has an edge and where it doesn't.
Which settings should I use?
Instead of guessing lengths and multipliers, we surface the settings that hold up across data — not the ones that only looked good on a single stretch of the past. You see what actually travels, per market and timeframe.
Which of the 100,000+ community scripts are actually good?
Instead of scrolling endless scripts and screenshots, you get an honest, comparable read on each one — so what stands out is measured, not marketed.
Which indicators work well together?
"Use confluence" is usually guesswork. Xuantify measures combinations: we backtest indicators together and show which pairings genuinely strengthen a signal and which just add noise — no coding required.
Will it work on my market and timeframe?
An indicator can shine on BTC daily and fade on EUR/USD 15m. We check how it behaves across markets and timeframes, so you know whether it travels to your chart before you rely on it.
I have an idea but can't code Pine.
You don't need to. Pick or describe the indicators and Xuantify turns them into a testable setup — no Pine, no Python, no freelancer.
Do I need to know how to code?
No — never. You don't write Pine or Python. Paste an indicator and we translate it; describe a setup and we build it. The code is on us.
Can I build a whole strategy just by describing it?
Yes — that's what Xuantify is for. Describe it in plain words — the indicators, the entry and exit rules, the conditions — and it becomes a working strategy you can run. No Pine, no Python, no coding.
Can I backtest a strategy I built from a prompt?
A strategy you described in words runs through the same measured backtest as any indicator — across markets and timeframes, with the same robustness checks. You describe the idea; the data tells you whether it holds up.
Why did my backtest look great but lose live?
Usually because it was overfit — quietly tuned to fit the past. Our scoring is built to resist that: it rewards results that stay consistent out-of-sample and under stress, not curve-fitted ones. Deeper walk-forward and window validation is part of membership.
Why does an indicator work sometimes and fail other times?
Most indicators depend on market conditions — strong in a trend, weak in chop. We show how a setup behaves across different regimes, so you know the conditions it needs instead of finding out the hard way.
What about exits and risk, not just entries?
Entries get all the attention, but exits and position sizing decide the outcome. Our tests include exit logic and stop and target rules, so you're measuring a complete setup — not half of one.
How is this different from TradingView's built-in backtester?
TradingView tests one strategy on one chart. Xuantify measures indicators and their combinations across markets and timeframes, with robustness checks built in — the questions the built-in tester can't answer for you.
Can I trust these results?
We show our method, use the same market data for every test, and don't sell hype. The aim is a straight, measured answer — not a sales pitch. No performance promises, ever.