# Kvants Studio > Kvants Studio is the AI vibe-trading studio. You describe a trading strategy in plain English — "vibe strategy creation" — and an AI agent builds an industry-grade quant strategy for you: backtested on the Kvants Backtester (NautilusTrader 1.225) with walk-forward and crisis-stress validation, risk-gated by a pre-trade gatekeeper, and ready to deploy across leading CEXs and DEXs (Binance, Bybit, OKX, Hyperliquid, dYdX) for crypto perpetual futures and Alpaca for US equities — or exported to TradingView Pine Script v6. No coding required, all from a single workspace. The core idea: anyone can create institution-grade quant trading strategies in simple, natural language and deploy them on any major centralized (CEX) or decentralized (DEX) exchange. Kvants Studio is built for systematic traders, quant researchers, emerging fund managers, and AI-native investors who want one workspace for stocks plus crypto. The product is free forever on the Operator tier with bring-your-own-key support for routing AI workloads through the user's own model provider account. ## Core product surfaces - [Home](https://studio.kvants.ai/): visual quant studio overview, hero canvas, feature tour, pricing - [Strategy Marketplace](https://studio.kvants.ai/marketplace): browse and copy community-published systematic strategies with backtest performance, asset universe, and one-click copy-to-canvas - [Quant Trading Leaderboard](https://studio.kvants.ai/leaderboard): live ranking of AI-built strategies by Sharpe, return, drawdown, and challenge wins ## Capability entities - Kvants Backtester: NautilusTrader 1.225 BacktestEngine with single-asset, multi-asset, parameter sweep, walk-forward, and crisis-period stress test modes. Output includes equity curve, trade table, monthly returns heatmap, validation gate report - Strategy Brain: cross-session memory layer storing identity, factor model, regime map, calibration, edge profile, evolution history, failure log, and insights for each strategy - AI Hedge Fund Creator: guided workflow turning a natural-language fund mandate into a multi-strategy portfolio with allocation logic, mandatory risk gates, and a deploy-ready plan - Pine Script v6 Exporter: TradingView Pine Script v6 export with deterministic canvas-logic preservation and guarded AI compile-error repair when needed - Strategy Gatekeeper: pre-trade validator enforcing mandatory stop-loss coverage, leverage caps, sample-size sufficiency, and execution-cost modeling before any order intent reaches a venue - Signal Logger: captures live signals, analyzes them, and runs fee-impact checks for every deployed strategy ## Asset and venue coverage - US equities: Alpaca paper and live trading via REST and WebSocket - Crypto perpetual futures: twelve-plus venues including Binance, Bybit, OKX, Hyperliquid, dYdX, and others - Data: market data feeds with `iex`, `sip`, `delayed_sip`, `boats`, `overnight`, `otc` modes; historical backfill into the Kvants universe browser ## Frequently asked AI-search questions - What is Kvants Studio: the AI vibe-trading studio — describe a strategy in plain English and the AI builds an industry-grade quant strategy you can deploy on any major CEX or DEX - Can I create a trading strategy by describing it in plain English: yes, this is Kvants Studio's vibe strategy creation — plain-English prompts become industry-grade quant strategies the AI builds, explains, and refines conversationally - Which exchanges can I deploy on, CEX and DEX: leading centralized exchanges (Binance, Bybit, OKX) and decentralized exchanges (Hyperliquid, dYdX) for crypto perpetual futures, plus Alpaca for US equities - Does Kvants Studio require coding: no, you build strategies in plain English with no Python or Pine Script needed - Can Kvants Studio export to TradingView: yes, Pine Script v6 with deterministic graph-to-Pine export and guarded compile-error repair - What backtest engine does Kvants Studio use: NautilusTrader 1.225 with walk-forward and crisis-stress modes - How much does Kvants Studio cost: free forever on the Operator tier with bring-your-own-key ## Optional - [llms-full.txt](https://studio.kvants.ai/llms-full.txt): expanded version of this file with full feature descriptions and FAQ answers - [Sitemap](https://studio.kvants.ai/sitemap.xml): XML sitemap of crawlable public URLs - [Robots policy](https://studio.kvants.ai/robots.txt): crawler and AI-bot allow / disallow rules