What does Kvants.ai do?
Kvants.ai is a quantitative AI trading agent builder that lets you describe a trading thesis in plain English to create an inspectable quantitative model. The platform drafts the agent's signals, position sizing, and risk rules, which you can then backtest and validate. It is designed for retail investors to access institutional-grade quantitative strategies.
What problem does Kvants.ai solve for users?
Kvants.ai solves the problem of building and validating quantitative trading models without requiring coding skills. Users can create, backtest, and paper trade algorithms with transparent logic, unlike news-driven AI agents that cannot be backtested. It provides a workspace for US equities and crypto markets.
What are the key features and capabilities of Kvants.ai?
Kvants.ai features a builder with 71 building blocks, 25 signals, and 16 curated strategy templates. It includes a backtest engine based on NautilusTrader with multiple modes, walk-forward analysis, and crisis-period replay. The platform also offers paper trading on Alpaca and crypto, export to TradingView Pine Script, and a Strategy Brain memory system.
What is Kvants Studio?
Kvants Studio is the quantitative AI trading agent builder that serves as the core product of Kvants.ai. It is a workspace where users describe trading theses in plain English to draft, inspect, edit, backtest, validate, and paper trade quantitative models. The platform then allows exporting to TradingView Pine Script or a portable JSON format.
What is Kvants.ai primarily used for?
Kvants.ai is primarily used for building, backtesting, and validating quantitative AI trading strategies. The platform is used to draft models from natural language, test them with modeled costs and slippage across multiple venues, and then paper trade or export them. It is focused on crypto and US equities investments.
Who is Kvants.ai designed for?
Kvants.ai is designed for retail investors who want to build and use institutional-grade quantitative trading models. It targets users who wish to create trading algorithms from plain English descriptions without needing to write code, offering access to strategies previously used by leading hedge funds.