Lazy Crypto has one loop: discover an idea, compose it into rules, stress it against history, then watch it live. This guide walks each surface in order — what it's for, what to tap, and what "good" looks like before you move on.
Onboarding doesn't ask for your salary. It asks what you want to do first, which market you care about, and how hands-on you want the editor to be — then routes Discover, Build and Monitor to match. Everything here is reversible from Settings.
Discover is the supply side: a searchable library of signals, indicators and community strategies. Signals and indicators are kept separate on purpose — a signal is a fire/no-fire decision, an indicator is a value you read. Find something close to your thesis and fork it instead of starting empty.
Build owns strategy work. The Guided editor uses forms and chips — fastest to start. The Graph editor exposes nested rules, custom indicators and version history. Both write the same payload, so a strategy started in Guided opens cleanly in Graph. Set your entry and exit logic, position sizing, and costs here.
entry: when RSI(14) crosses_below 30 and close > EMA(200) exit: when RSI(14) crosses_above 55 or bars_held > 24 size: vol_target("0.35") stop: 1.2%
A backtest describes past behaviour, not a promise. Lazy Crypto runs realistic costs by default and shows the credibility row up front: net return after fees, max drawdown, exposure, and trade count. Read those before the equity curve. A pretty curve with five trades is noise.
Monitor owns live state. Bind a pinned strategy version and the app sends a just-in-time alert only when a rule actually fires. A health panel tracks signal freshness, drift from the backtest, and drawdown trend — so you know to pause before the drawdown, not after. Quiet hours are respected.
Factor Lab is the web archive of pre-validated factor research — every experiment passed deflated Sharpe, FDR adjustment, permutation tests and cost realism before it was published. Browse it without an account; when one fits your thesis, save or fork it and it lands in your Build workspace on iOS within seconds.
Small rules that separate a tradeable strategy from a flattering chart.
Net return, drawdown and trade count tell you more than the shape of the equity line. A great curve over a handful of trades is noise.
Save a version before a big change so Monitor always knows exactly what's live and you can compare runs side by side.
The health card flags when live behaviour disagrees with the backtest. Treat the first drift flag as a reason to look, not to panic.
Create a workspace, fork something from Discover or Factor Lab, and have a backtested strategy on a live monitor in an afternoon.