By Adam Wozniak
Getting Started with Turbine Studio in 4 Steps
People keep asking us how long it takes to go from "never heard of Turbine" to "I have a live trading bot." The honest answer is about five minutes. Here's exactly what that looks like.
Step 1: Log In with Email
Head to turbinefi.com and click the sign-up button. We use email-based authentication — enter your email, confirm the code, you're in. No MetaMask popups, no seed phrases to manage, no wallet extensions to install.
Behind the scenes, we create a smart wallet for you via Locus (a Y Combinator company). This wallet is yours — we don't have access to your keys. But you don't need to think about any of that right now. You just logged in with your email.
Step 2: Subscribe to a Trial
New users get a free trial that includes 1,000 credits. Credits are what power bot deployments — think of them as compute time for your trading bot running in the cloud.
1,000 credits is enough to run a bot for a while and figure out if this is something you want to keep using. No credit card required for the trial.
Step 3: Tell Your Bot What to Build
This is the fun part. Open Studio and start typing. Describe the trading strategy you want in plain English:
- "Market-make on Kalshi weather markets with a 5-cent spread"
- "Buy YES on any political market that drops below 20 cents"
- "Fade the consensus — sell YES when a market goes above 85 cents, buy YES when it drops below 15 cents"
Studio generates the code, shows it to you, and lets you iterate. Ask it to change parameters, add conditions, handle edge cases. When it looks right, move on.
Step 4: Deploy
Hit deploy. That's it.
Your bot goes live on cloud infrastructure managed by Locus. It runs 24/7 — you don't need to keep your laptop open or worry about your internet connection. The deployment is funded through your wallet via the x402 payment protocol, so Turbine never touches your funds directly.
You can monitor logs in real-time, check what orders your bot is placing, and redeploy with changes whenever you want.
What Happens Next
Once your bot is running, the real learning starts. Watch what it does. Check the logs. See how it behaves in different market conditions.
Most people iterate a few times — "make the spread wider," "add a max position limit," "only trade markets expiring today." Each iteration is just another conversation with Studio.
The whole point is to lower the barrier between having an idea and testing it live. No local development environment. No deployment pipeline to configure. No DevOps.
Just you, your strategy, and a live bot.