Kvants Studio is an AI tool for building and testing quantitative trading strategies. Its core proposition is to embed inspectable and backtestable quantitative models into trading agents, rather than reacting based on news headlines or sentiment. Users can describe trading ideas in natural language, and the AI drafts the agent's quantitative model accordingly, including signals, position sizing, and risk rules, after which users can review, edit, backtest, and validate it themselves. The platform emphasizes that no coding is required, but it exports runnable code files.
In terms of main capabilities, Kvants Studio provides AI strategy creation: after describing a trading theme, the AI drafts the model, runs the first backtest, and explains each assumption. The model converts plain English descriptions into editable models, supports transparent reasoning, allows users to ask why a signal was triggered or blocked, and supports guided iteration, testing different variants and comparing forward rolling split results. Every draft version includes risk guardrails, such as position sizing and stop-loss rules.
In terms of backtesting and validation capabilities, the Kvants backtester runs on NautilusTrader, accounts for simulated commissions, slippage, bid-ask spreads, and funding fees, and provides more than 16 transparent performance metrics, including Sharpe, Sortino, drawdown, and profit factor. It supports forward rolling validation, challenging overfitted parameters with unseen windows; supports crisis-period replay, such as stress periods in March 2020, May 2022, and others; if a strategy does not generate any trades, Kvants will point out the conditions that blocked trading. Backtest modes include single-asset, multi-asset, parameter sweep, forward rolling, and crisis periods. Outputs include equity curves, trade tables, monthly return heatmaps, and validation gating reports.
In terms of usage, users first describe the agent strategy, including market, entry, exit, and risk rules; then review the model, inspecting and adjusting each signal, parameter, and constraint; next, test it, running backtests that include modeled costs, forward rolling checks, and stress replays; after that, they can first do paper trading, then export to TradingView Pine Script v6 or a portable .kvants.json file. The platform also provides 16 curated templates covering crypto assets and Alpaca stocks; templates are starting points, not recommendations. Examples include a BTC 4-hour EMA(12)/EMA(26) momentum crossover with an RSI>50 filter and stop-loss/take-profit rules, SPY daily SMA 50/200 golden cross entries and exits, and a BTC 1-hour long/short flip strategy based on EMA(20)>EMA(50)with a 1.5% stop-loss and ATR-based position management. Users can paper trade US stocks through an Alpaca paper account, or paper trade in live crypto markets with simulated fills. The platform also provides Strategy Brain to track market regime, performance drift, and parameter sensitivity.
The applicable scenarios are mainly individual traders or quantitative researchers building and testing systematic trading strategies on their own. In terms of limitations and risks, Kvants Studio is software for autonomous use and does not constitute investment, financial, legal, or tax advice; content on the platform is not a trading recommendation. Users write, test, and control all strategies themselves. Trading stocks, crypto assets, and derivatives involves a high risk of loss and may result in losing all invested capital. Backtested and simulated data are hypothetical and cannot reliably predict future results. Paper trading uses simulated fills on live market data and does not use real funds, and actual results may differ materially. Feature and trading venue availability varies by jurisdiction. AI features operate on metered credits and require top-ups via KVAI deposits, paying only for the actual AI compute used; KVAI is a consumable token and is also used to determine VIP tiers, and VIP status represents access permissions only. Start for free with no bank card required. Because the material does not provide specific prices, fee amounts, or further limitation details, such content is not provided for now.
