The agent-native platform
for discretionary traders.

Chartnaut gives you the tools to backtest market data, the AI agents to discover patterns you'd never find manually, and the ML models to execute with historical odds on your side.

Backtest · Discover · Execute
  • Backtest — TPO, Volume Profile, Footprint — 13+ years, fully customisable
  • Discover — AI agents study thousands of days and return statistical proof
  • Execute — Tag what you see, ML models surface historical odds before you risk a dollar
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Real-Time Data

Real-time charts,
across the markets you trade.

Chartnaut supports 54 CFDs across currencies, indices, and commodities, 30+ crypto assets, and modern perpetual futures like SP500 and NIKKEI.

Live market coverage is the foundation: one charting workflow across asset classes, built for active discretionary analysis.

Trading Connectivity — Coming Soon

We're building direct broker and exchange connectivity so you can analyse and execute from the same workflow. Connect your existing accounts, manage risk, and trade without leaving the terminal.

MT4
MT5
cTrader
Hyperliquid
Market Coverage
Live and chart-ready
CFDs
54

Currencies, indices, commodities, and other core macro markets.

EUR/USD, UK100, Gold, Brent, and more
Crypto
30+

Major digital assets with live charting and cross-market continuity.

BTC, LINK, XRP, and more
Perpetual Futures
Live

Modern index-style perpetual contracts designed for active traders.

SP500, NIKKEI, and more
Plus Backtesting
Included in the foundation

Replay any market day.

13+ years of historical data with Volume Profile, TPO, Footprint, Cumulative Delta, and multi-chart replay.

The real-time platform is the base. Backtesting lets you interrogate any session before you turn research into edge.

Innovation

How Chartnaut's changing
discretionary trading.

Agents that research. Models that learn your edge. Intelligence that shows up in the terminal.

Research Agent
Innovation layer
Research Agent
Study Mode

How often do opening gaps fill on ES? Break it down by gap size — small, medium, and large — and tell me the average time to fill.

Planning the study structure...
event: opening gap
Searching for analysis primitives...
type: gap detection
Building the study definition and compiling...
instrument: ESbuckets: small, medium, large
Running the study on your events...
sessions: 3,842date range: 2011–2025
Analyzing fill rates by gap size...

I found 1,247 gap events across 14 years of ES data. Smaller gaps fill significantly more often and faster, while large gaps (> 10 pts) tend to leave unfilled portions that act as magnets in later sessions.

Gap fill rates by size1,247 gap events
Small gap (< 5 pts) — filled within 1hr82%
Medium gap (5–10 pts) — filled within 1hr61%
Large gap (> 10 pts) — filled within 1hr34%
Avg time to fill (small)22 min
Avg time to fill (large)2hr 14min
Ask a follow-up question...

What if you could ask the market
and get an honest answer?

Chartnaut's Research Agent lets you test every hunch across 13+ years of market data.

Ask “does this setup actually work?” and get statistical proof instead of opinion — across thousands of matching sessions, in minutes.

Find it in the data. Use it in the moment.

How it works

  • Define the event

    Pick the setup, sequence, or market condition you want to study.

  • Study what happens around it

    See what tends to happen before and after it across matching sessions.

  • Surface the edge

    Bring that historical context back into the terminal when it matters.

Historical Intelligence
Innovation layer

What if you never drifted
from your own rules again?

Every trade you log trains ML models that learn your edge automatically.

Historical Intelligence surfaces those models in the terminal like bowling bumpers — showing you the odds from your own data and keeping you inside the tramlines every time you trade.

How it works

  • Tag what you see

    Log trades into playbooks with the conditions present — gap direction, VWAP position, order flow, session structure.

  • Models learn your edge

    Every trade you log retrains ML models that learn from your discretion, not from a formula. Zero config.

  • See the odds, then decide

    Spot a setup, select the conditions, and see historical win rates from your own data before you act.

From curiosity to conviction. That's the loop.

Backtest the data. Discover the patterns. Execute with the odds on your side. Every trade you log makes the system sharper — private, personal, compounding.

$14-day free trial · No credit card · Log 100 trades for 30 more days free
Pricing

Simple, transparent pricing

Start free. Upgrade when you're ready. Cancel anytime.

Backtester

For new traders

$19/mo

No AI features (Study Mode, Chat, etc.)

Starter

Backtesting, Historical Intelligence, and Real-time Charts

$24/mo

No AI features (Study Mode, Chat, etc.)

Most Popular

Agent Pro

Everything in Starter + Research Agent

$50/mo
$12.00 AI credits included/mo
30-day free trial
Cancel anytime
Instant access
FAQ

Questions & Answers

Everything you need to know about Chartnaut, from data accuracy to privacy.

Important Disclaimer

Chartnaut does NOT provide trading signals, investment advice, or predictions. It is a research platform — all analytics are based on your own historical data and are descriptive only.