No-code algorithmic trading

Turn a trading idea into a tested strategy.

Describe your idea in words. Numir's AI turns it into a visual strategy you can adjust node by node, then backtests it against years of data. No Python, no libraries to wrangle.

Runs on the same engine that would trade it live
strategy.kvx — mean-reversion

Algorithmic trading has always been locked behind code.

You have the market sense. What you don't have is a spare year to learn Python, pandas, and a backtesting framework just to test a single hunch.

So the idea stays in your head. Or in a spreadsheet that can't do anything with it. Numir is where you finally get to test it.

From a sentence to a backtest.

STEP 01

Describe

Type the strategy the way you'd explain it to a friend. "Buy oversold blue chips, take profit at five percent, cut losses at two."

STEP 02

Compose

The AI builds a node graph: signals, conditions, sizing, exits. Every block is visible, and you can change any of it.

STEP 03

Backtest

Run it against years of historical data and read the equity curve, drawdown, and win rate. Then adjust it and run it again.

The builder

A canvas that shows its work.

Every part of your strategy is a labelled block you can read and change. No hidden logic. Nothing you have to write in code.

  • Readable nodes.
    Indicators, conditions, position sizing and exits, each a labelled block instead of a formula you have to memorise.
  • Change anything.
    Drag a connection, change a threshold, add a branch. The result updates as you work.
  • Test variations.
    Fork any strategy, try a variant, and keep the version that performs better.
breakout-momentum.kvx 6 nodes · valid

Numir · copilot
parsed intent signal: RSI(14) < 30
added node condition: trend filter (SMA200)
added node exit: take-profit +5%
added node exit: stop-loss −2%
graph valid · ready to backtest
AI copilot

Describe it in words, get editable nodes.

The copilot doesn't just describe a strategy back to you. It places real, editable nodes on the canvas — the signals, entry rules, and exits it inferred — and you can check every one.

It won't trade anything on its own. Every choice it makes shows up as a node you can keep, change, or delete.

See how it would have performed.

Every strategy runs against real historical data, on the same engine that would trade it live. You get the full equity curve, drawdowns included. It's what would have actually happened to your account, not a projection of what might.

EQUITY — mean-reversion · 2019–2024 · daily +0.0%
Total return
+142.8%
Win rate
61.4%
Max drawdown
−18.2%
Sharpe
1.74

Illustrative backtest. Past performance does not guarantee future results — every strategy carries risk of loss.

Get started

Start with a sentence.

Stop translating your ideas into code someone else wrote the rules for. Describe a strategy. Find out whether it holds up.