# Kvants Studio

> Kvants Studio is the quantitative AI trading agent builder. You describe a trading thesis in plain English and the AI drafts the agent's quantitative model, the signals, position sizing, and risk rules you can inspect and edit. You then backtest it with modeled costs, validate it with walk-forward and crisis-period checks, paper trade it, and export it. You review and control every rule yourself. No code required.

## Main

- [Home](https://kvants.ai/): Quantitative AI Trading Agent builder for stocks and crypto
- [Kvants Studio](https://studio.kvants.ai/): plain-English quant strategy builder with backtesting, validation, and paper trading
- [Kvants App](https://app.kvants.ai/): non-custodial quant strategy vaults
- [Blog](https://kvants.ai/blog): product updates and quant trading guides
- [llms-full.txt](https://kvants.ai/llms-full.txt): the full-detail version of this file

## What it is

- Quantitative AI Trading Agent builder: describe a thesis in plain English, the AI drafts an editable quantitative model (signals, sizing, risk rules)
- Different from news-trading AI agents: the agent is built on an explicit quantitative model that can be backtested and validated, not on headlines or sentiment
- Covers both US equities (via Alpaca paper accounts) and major crypto markets (simulated fills on live market data)

## Services

- Kvants Studio: Quantitative AI Trading Agent builder
- Kvants Backtester: Advanced backtesting for trading strategies
- TradingView Pine Script v6 export: Seamless integration with TradingView
- .kvants.json export: Export trading agent configurations
- KVAI token: Utility token for the Kvants ecosystem
- Strategy Brain: AI-powered strategy generation and optimization

## Audience

This site is for quantitative traders, financial institutions, hedge funds, and individual investors interested in building, backtesting, and deploying AI-driven trading agents. Users are typically familiar with financial markets, trading strategies, and may have an interest in AI, machine learning, or algorithmic trading. They seek tools to automate and optimize their trading decisions.

## Facts

- Strategies are built from plain-English prompts or 16 curated templates; 71 building blocks, 25 signals, 0 lines of code required
- The Kvants Backtester runs on NautilusTrader with single-asset, multi-asset, parameter-sweep, walk-forward, and crisis-period modes
- Backtests model real fills, fees, funding, and slippage across 14 venues, with 16+ transparent performance metrics
- Validation includes walk-forward analysis (to catch curve-fitting) and crisis-period replay of stressed regimes
- Models export to TradingView Pine Script v6 (deterministic logic, guarded AI compile-error repair) or a portable .kvants.json file
- Strategy Brain tracks regime context, performance drift, and parameter sensitivity
- Free to start on the Operator tier; AI features run on metered KVAI credits; bring-your-own-key model choice via OpenRouter

## Important disclaimers

- Kvants Studio is self-directed software for building and testing trading strategies. It is not investment, financial, legal, or tax advice, and nothing it produces is a recommendation to trade.
- Backtested and simulated figures are hypothetical and are not a reliable indicator of future results. Trading carries a high risk of loss.
- KVAI is the usage token for AI compute. Deposit it to fund AI credits: each request holds an estimate, settles on the compute actually used, and refunds the rest; a failed request is fully refunded. KVAI held or locked also sets a VIP tier (VIP 0 to VIP 4) that unlocks higher AI effort levels and deeper studio functions. VIP status is access only.

## Legal

- [Privacy Policy](https://kvants.ai/privacy-policy)
- [Terms and Conditions](https://kvants.ai/terms-and-conditions)
- [Cookies Policy](https://kvants.ai/cookies-policy)
- [Token Terms](https://kvants.ai/token-terms)