No-code backtesting canvas
Assemble indicators and rules visually, then run full historical simulations with realistic fees and slippage. The result is a strategy you can read, not a script you have to trust.
The backtesting power of Python on a visual canvas — with an AI copilot that helps you build and refine strategies in plain language. Built for retail traders who want to test, not guess.
Design a strategy visually, backtest it against real markets, and validate the edge. All without writing a line of code.
Music: “Business Moves (Vol. 12)” by ende.app, royalty-free.
Three things stand between a good idea and a strategy you can trust. None of them are about the market.
Institutional backtesting assumes you already know Python or Pine Script. Most traders never get past the setup, let alone the first simulation.
Every tweak to an idea means rewriting script, regenerating the run and waiting. Most strategies die before they ever see a first backtest.
Capital goes live on a hunch. Without a statistical backtest, the drawdown that was always coming arrives as a surprise.
From first idea to a validated, backtested strategy, without leaving a single screen.
Assemble indicators and rules visually, then run full historical simulations with realistic fees and slippage. The result is a strategy you can read, not a script you have to trust.
Describe a strategy in plain language and let the AI draft and refine the canvas. It shows its reasoning, not just the result.
Pillar 02Realistic fees, slippage and instant stats — win rate, drawdown, trade count. Results you can read, not a black box.
Pillar 03Model complex algorithmic strategies by connecting indicator nodes to execution blocks. Iterate on ideas in seconds, not sprints, without writing a single line of code.
Early members get free backtesting compute credits when we open the doors.
Unedited notes from the closed beta — the traders who tested the canvas before you.