Build Deliberately.
Test Before Live.

Turn trading ideas into mechanical systems, explore their historical behaviour, and observe simulated execution before deciding whether to use real capital. Simulated results do not predict live performance.

AAPL / USD
Daily Timeframe
40.0060.0080.00100.00

The Full Lifecycle of a Professional Trader

Zero-Code Strategy Builder

Draft complex trading logic visually. No more fighting with Python scripts or spreadsheets — just drag, drop, and define your entry and exit rules.

Explore Historical Scenarios

Run strategy logic across available historical periods and inspect how assumptions behave in different regimes. Data coverage and simulations have material limitations.

Paper Execution Lab

Observe simulated orders against market data without placing those paper orders in a live account. Fills, liquidity, timing, and live outcomes can differ materially.

Simple, transparent pricing

Save about 20% with annual billing - roughly two months free

Billed Monthly
Billed Yearly

Free

$0/month

Build, backtest, and prove one strategy in paper trading.

  • Daily, weekly, and monthly strategies
  • 3 completed backtests per day
  • 1 active paper strategy
  • 3 AI research runs per month
  • 1 read-only broker connection

Starter

$29/month

Take swing and position strategies live on one broker.

  • Everything in Free
  • Daily, weekly, and monthly live trading
  • 5 active strategies, up to 3 live
  • 300 backtests per month
  • 10 optimizer and 2 Rule Finder jobs per month
Most Popular

Standard

$69/month

Run an active multi-strategy workflow with optimization and supervised AI.

  • Everything in Starter
  • 30-minute through 8-hour intervals
  • 20 active strategies across 3 brokers
  • Full Portfolio Builder and weekly optimization
  • Supervised agents and 100 research runs per month

Professional

$129/month

Operate fast intraday, multi-broker automation with higher compute limits.

  • Everything in Standard
  • 1-minute, 5-minute, and 15-minute automation
  • 50 active strategies across 10 brokers
  • Daily optimization and autonomous agents
  • Highest compute limits and priority support

Built by Engineers Who Hate Bad Data

We spent 20 years building high-scale systems. But when we started trading, we found the tools were either too simple to be useful or too complex for anyone without a PhD in Math.

We built RoboSelf to make disciplined, rule-based workflows more accessible. Our mission is to simplify market analytics with tools that help people build, test, and monitor their own strategies while seeing the assumptions and risks clearly.

Contact Us

We'd love to hear from you. Drop us a message.