KvantsAI

The builder includes 71 building blocks, 25 signals, and 16 curated strategy templates. Every signal, parameter, and risk rule is visible and editable. The backtest engine uses NautilusTrader with modeled fees, slippage, and funding across 14 venues, offering single-asset, multi-asset, parameter-sweep, walk-forward, and crisis-period modes. Validation includes walk-forward analysis to catch curve-fitting and crisis-period replay of stressed regimes such as March 2020 and May 2022. You can paper trade on Alpaca and export to TradingView Pine Script v6 or a portable .kvants.json file.

Kvants Studio is built for systematic traders, quant researchers, emerging fund managers, and AI-native investors who want to build stocks plus crypto strategies in one workspace. It is used to describe a trading thesis, let the AI draft the model, backtest with realistic costs, validate with walk-forward and crisis replays, and paper trade before going live. The transparent reasoning allows users to ask why a signal fired or which condition blocked a trade, and the guided iteration helps test variants and compare walk-forward splits.

Kvants Studio is free to start on the Operator tier. AI features run on metered credits funded with KVAI deposits, so you pay only for the AI compute you use. Bring-your-own-key model choice via OpenRouter is supported. KVAI is the usage token for AI compute; each request holds an estimate, settles on actual compute used, and refunds the rest, with a full refund if the request fails. Holding or locking KVAI sets a VIP tier from VIP 0 to VIP 4, unlocking higher AI effort levels and deeper studio functions.