Product · AI Strategy Builder

Sentence in. Strategy out.

turbinefi is a compiler from natural language to a typed strategy spec to executable Python. Not a generic LLM wrapper. The spec is the source of truth and the Python is generated from templates.

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Input1 sentence
SpecInspectable, typed
OutputEditable Python
I · Three layers

Most AI for trading stops at one. We use three.

LLM-only Python is a black box. Spec layer is the source of truth. English is the prompt. Python is the artifact.

I

English layer.

What you type. One sentence, edited as a sentence. Diffs read like prose.
II

Spec layer.

A typed, structured representation. Signals, conditions, sizing, risk limits, exits. Human-readable, version-controlled, diff-able.
III

Python layer.

Executable code, generated from the spec via Go templates. This is what runs in your sandbox. Read it, export it. The spec stays the source of truth.
IV

Iteration loop.

Tweak the English. Re-backtest. Redeploy. Most strategies do not work the first time. They get good when you can iterate in seconds. Backtests that finish in seconds let you try ten variations before you finish your coffee.
II · Examples

Six starting points.

Browse the public strategy directory and copy any of them in one click. Edit the English to fit your view.

Mean reversion

Weather contracts

Fade Kalshi weather YES contracts that drift more than 8 cents from the NWS forecast for 20 minutes.

News reaction

Fed statements

Take a position five minutes after a Fed headline if the rate-decision contract has moved more than 6 cents in the same direction.

Calendar arb

CPI contracts

Trade the September vs October CPI YoY spread when the term structure disagrees with the Cleveland Fed nowcast.

Volatility harvest

Event baskets

Sell premium across an event basket when realised vol is below implied for two consecutive days.

Momentum fade

Sports lines

Fade Kalshi MLB win-probability contracts that overreact to one inning of run scoring.

Election close-out

Political markets

Take the YES side on political contracts in the final 48 hours when the spread is wider than the implied probability uncertainty.

III · Pricing

One price. Cancel anytime.

Beta pricing
$99/ month

Seven days free. After that, $99 a month (limited time, reg. $199).

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BasicCloud deployments, unlimited strategies, every supported venue. The strategies you build are yours.
$99/moLimited time. Reg. $199.
ProFor funds and serious quants. API access, multi-strategy, concierge support. Contact us.
$299/mo
IV · FAQ

Common questions.

Can I edit the Python that turbinefi generates?
Yes. Every strategy exposes the generated Python in the Studio. The strategy spec is the source of truth, so re-running the compiler will regenerate the Python. You can also export the Python and run it elsewhere.
What happens if the AI gets the strategy wrong?
You see it before any money moves. turbinefi shows you the spec and the Python before you run a backtest, and the backtest itself is the second guardrail. If the bot interprets your sentence differently than you intended, you will see it in the trade log. Tweak the English, re-compile, re-backtest.
Who owns the strategies I build on turbinefi?
You do. The English, the spec, and the Python are yours. You can export any strategy at any time, and if you cancel your subscription, the artifacts you generated remain yours.
Is turbinefi just a wrapper around ChatGPT or Claude?
No. turbinefi is a purpose-built compiler. We use language models for the English-to-spec step, but the spec is enforced by a typed schema and the Python is generated from Go templates, not free-form by an LLM. That is what makes the output deterministic and auditable.
How long does it take to go from a sentence to a deployed bot?
Most strategies are minutes, not hours. Compiling the English is a streaming AI call. Backtests typically finish in seconds. Deploying to your sandbox is one click. The slow part is you reading the spec to make sure it matches what you meant.
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Your strategy is one sentence away.

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