Blueberry Builder
Sign up
No-code algorithmic backtesting

Institutional backtesting,
without the code.

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.

Join 187+ traders
Early access · free compute credits at launch
BBRY·1D·+12.4%
$184.20BACKTEST
RSI< 30
EMAcross ↑
SIGNALLONG
EXECbacktest
no-code backtestingAI-assisted canvasstrategy canvasrealistic fees & slippageinstant simulationsbatch 1 open
19-second product film

See the canvas in motion

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.

02 / The problem

Retail traders are trading blind.

Three things stand between a good idea and a strategy you can trust. None of them are about the market.

01

The code barrier

Institutional backtesting assumes you already know Python or Pine Script. Most traders never get past the setup, let alone the first simulation.

02

Slow iteration

Every tweak to an idea means rewriting script, regenerating the run and waiting. Most strategies die before they ever see a first backtest.

03

Risk you never tested

Capital goes live on a hunch. Without a statistical backtest, the drawdown that was always coming arrives as a surprise.

03 / The platform

One canvas. AI-assisted backtesting.

From first idea to a validated, backtested strategy, without leaving a single screen.

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.

Pillar 01

AI-assisted building

Describe a strategy in plain language and let the AI draft and refine the canvas. It shows its reasoning, not just the result.

Pillar 02

Realistic simulation

Realistic fees, slippage and instant stats — win rate, drawdown, trade count. Results you can read, not a black box.

Pillar 03
04 / Strategy canvas

Build, test, execute. Visually.

Model complex algorithmic strategies by connecting indicator nodes to execution blocks. Iterate on ideas in seconds, not sprints, without writing a single line of code.

  • Drag indicators and execution blocks onto an infinite canvas.
  • Ask the AI copilot to draft, tweak or optimise the strategy in plain language.
  • Run historical simulations instantly and read the stats that matter.
strategy_canvas · berry_momentum.v1nodes: 4
INDICATORRSI(14) < 30
INDICATOREMA 20 / 50 cross
LOGICAND · cooldown 5d
EXECUTEBacktest 2019–2025
backtestwin 54%·max dd −11%·312 trades validated
05 / The team

Built by traders and engineers.

Archisman (Neil) Ganguly

Archisman (Neil) Ganguly

CEO

Builds trading AI. Spent years turning market ideas into models that actually run, and got tired of watching retail traders guess instead of test.

Alexander Qingzhi Chen

Alexander Qingzhi Chen

CTO

Masters in Computer Science and Philosophy. Thinks about the hard questions behind the systems, then builds them.

Ziyu Tian

Ziyu Tian

CMO

Years of experience across marketing and trading. A retail trader who knows exactly what the other side of the screen wants.

Michael Foksha

Michael Foksha

CPO

Math undergrad (BSc). Brings fresh ideas and the math background behind the models and product logic.

Early access · limited batch

Claim your spot in the first 200.

Early members get free backtesting compute credits when we open the doors.

Join 187+ traders
06 / Early voices

What the first beta traders are saying.

Unedited notes from the closed beta — the traders who tested the canvas before you.

4.9 / 5 · first 40 testers