Can Kvants Studio trade both stocks and crypto?

Yes. Kvants Studio supports US equities through Alpaca paper and live trading and crypto perpetual futures execution across more than twelve venues. Both asset classes use the same visual node-graph builder, the same backtest engine, and the same deployment gatekeeper.

Do I need to know Python or Pine Script to use Kvants Studio?

No. Strategies are built visually on a drag-and-drop node-graph canvas. An AI agent can wire the graph from a natural-language description. Kvants Studio exports finished strategies to Pine Script v6 for users who want to run them in TradingView, but writing code is never required.

How does the Kvants Backtester validate strategies?

The Kvants Backtester runs strategies through NautilusTrader 1.225 with single-asset, multi-asset, parameter sweep, walk-forward, and crisis-period stress test modes. Output includes an equity curve, trade table, monthly returns heatmap, and a validation gate report covering mandatory stop-loss coverage, leverage caps, sample-size sufficiency, and execution-cost modeling.

Can Kvants Studio export to TradingView?

Yes. Kvants Studio exports finished strategies to TradingView Pine Script v6 with an AI validate-and-repair pass that catches Pine compile errors and rewrites the script until it passes the validator.

How much does Kvants Studio cost?

Kvants Studio is free forever on the Operator tier with no credit card required. Bring-your-own-key is supported for users who want to route AI workloads through their own model provider account.

Who is Kvants Studio for?

Kvants Studio is built for systematic traders, quant researchers, emerging fund managers, and AI-native investors who want to build, validate, and deploy systematic strategies across stocks and crypto from a single workspace without hand-coding each strategy.

About Kvants Studio

Kvants Studio is an AI-native visual quant trading studio that builds, backtests, and deploys systematic trading strategies for US equities on Alpaca and crypto perpetual futures across 12+ venues. Users describe a strategy in plain English on a node-graph canvas, an AI agent wires the graph, the Kvants Backtester runs it on NautilusTrader with walk-forward and crisis-stress validation, and the strategy exports to TradingView Pine Script v6 or deploys to paper or live execution from the same workspace.

Product category: Algorithmic trading platform and AI agent for systematic trading
Asset classes: US equities (Alpaca paper and live) and crypto perpetual futures (12+ venues)
Backtest engine: NautilusTrader 1.225 with single-asset, multi-asset, sweep, walk-forward, and crisis-stress modes
Strategy export targets: TradingView Pine Script v6 with AI validate and repair, .kvants.json portable format
Deployment targets: Alpaca paper, Alpaca live for US equities, and twelve or more crypto perpetual futures venues
AI capabilities: Natural-language strategy generation, auto-improve mode, gatekeeper pre-trade validation, Strategy Brain cross-session memory layer, AI Hedge Fund Creator multi-strategy portfolio workflow
Pricing: Free forever on the Operator tier; bring-your-own-key supported
Built for: Systematic traders, quant researchers, emerging fund managers, and AI-native investors building stocks plus crypto strategies in one workspace

Kvants Studio landing page background from Figma

Drag, test, ship

Stocks & crypto,
one studio

The hedge-fund tools you were never invited to use — now on a clean drag-and-drop canvas. Alpaca stocks, 12+ crypto venues, no Pine Script, no Python, no "I'll learn to code this weekend" lies.

Launch Studio Show me the goods

Free forever on the Operator tier. No card. No countdown. BYOK if you want it your way.

studio.kvants.ai / try_me.kv

Yes, you can actually drag these nodes around ↓

Price Feed

symbolBTC

venueBybit

tf1h

EMA Fast

period12

sourceclose

EMA Slow

period26

sourceclose

RSI

period14

sourceclose

ATR

period14

Crossover

dirup

Threshold

level50

dirabove

AND Gate

inputs2

Entry Long

sidebuy

% Sizing

size%20

lev3

Stop Loss

typeatr

mult2

Take Profit

typer_mult

Plays nice with the exchanges and brokers you already use

Alpaca · StocksHyperliquidBinanceBybitOKXCoinbaseKrakenDriftJupiterDeribitBitgetKuCoinGate.ioAlpaca · StocksHyperliquidBinanceBybitOKXCoinbaseKrakenDriftJupiterDeribitBitgetKuCoinGate.io

The way trading tools work right now?Honestly, embarrassing.

Drag the handle on each card. The left side is what you've been putting up with. The right is what you deserve.

01SKILL BARRIER

You're a trader, not a developer.

Why spend three months learning Pine Script just to test if RSI works on ETH? Drag, click, done.

The old wayKvants

// strategy.pine
strategy("RSI Reversion", overlay=false)
length = 14
rsi = ta.rsi(close, length)
if (rsi < 30)
    strategy.entry("long", ...)
if (rsi > 70)
    strategy.close("long")

RSI

period14

sourceclose

↓

Entry Long

02TRUST

Your backtest is lying to you. Sorry.

Zero fees, zero slippage, perfect fills — and then you go live and bleed money. We model what actually happens.

FantasyReality

+847% · 0 drawdown · 0 fees* if no slippage, no funding, no friction

commissions−0.55%

funding−0.21%

slippage−0.08%

03OVERFITTING

"It backtested +400%." Sure it did, buddy.

Walk-forward analysis catches curve-fits before they catch you. Same trick the pros use. Yours by default.

Curve-fitWalk-forward

Backtest +412%

Live −58%

"But it looked so good on history…"

ROLLING WINDOWS — SHARPE BY PERIOD

IS Q1

2.4

OOS Q1

2.1

IS Q2

2.2

OOS Q2

1.9

IS Q3

2.0

OOS Q3

1.8

IS Q4

2.3

OOS Q4

2.0

✓ Edge holds out-of-sample

04GETTING STARTED

Out of ideas? The AI has plenty.

Type what you want to trade. The co-pilot builds it, backtests it, and tells you why your idea is brilliant — or isn't.

Where do I start?Just describe it

∅

untitled_strategy.pine

// what do I even put here

Mean reversion on ETH. RSI < 30 buy, > 50 sell, 2% stop.

Done. Wired 7 nodes. Sharpe 1.84 over 18 months.

Make it better.

05DEPLOYMENT

3am, broken VPS, positions wide open. Cute.

Connect Alpaca or your exchange once. Click deploy. Go back to sleep. We handle the boring server stuff.

VPS hell1-click deploy

$ pm2 start strategy.py

[ERROR] ccxt.AuthenticationError

[ERROR] api_key invalid for binance

$ ssh root@vps-3...

connection timed out

$ tail -f /var/log/strat.log

positions stuck open · 3:47am

▌

strategySMA 50/200 · AAPL

venueAlpaca · live

modeOAuth-linked

statusRunning · 12d 06h

heartbeat2s ago

P&L today+1.84%

06ADAPTATION

Your strategy isn't supposed to retire in 2024.

Markets change. Your strategy should too. The Brain remembers what works and quietly evolves while you sleep.

Static & frozenLearning brain

Locked since Apr 2024

params.json · never updated

market regime: unknown

last review: never

Strategy Brain

● Bull Trending · 0.78

"Momentum signal strongest above EMA-200 with rising volume. RSI <25 holds as high-confidence exit zone in this regime."

✦ Tightened trailing stop 3% → 1.8%. Sharpe +0.32

HOW IT WORKS

Talk to it like a person.It actually listens.

No more pretending you know what an EMA crossover script looks like. Describe the trade idea — Kvants AI handles the rest. Claude, GPT-4o, DeepSeek R1, Gemini 2.5 Pro, or your local CLI.

Plain English in, working strategy out

One sentence, full graph, validated sockets, ready to backtest.

It explains itself

"Why did we lose money in March?" — get a real, specific answer.

Auto-improve mode

Let the AI tinker, walk-forward test, keep what works. Like an analyst that doesn't take lunch.

Gatekeeper mode

Vetoes sketchy trades before they fire. Sleep happens.

Kvants AI · Claude Sonnet 4.5online · faster than your dev friend

Tell me what you want to trade...

kvants backtester

The kind of backtestthat survives going live.

Real fills. Real fees. Real funding. Real slippage. 50k bars per second — two years of 4h candles in under a second. If the numbers look great here, there's an actual chance they'll look great in your wallet.