From setup to your first trade story — Aurono's new onboarding and trade transparency

Setting up a trading bot should feel like a conversation, not a configuration exam. And when your bot makes a trade, you should be able to understand exactly what happened — without decoding event logs or parsing raw data.

This update ships two things that make Aurono feel more human: a guided setup wizard that gets you from zero to your first strategy in minutes, and a trade story view that explains every trade in plain language.

The setup wizard: your first five minutes

Previously, setting up your first strategy meant: connect an exchange, navigate to the strategy builder, fill in parameters, figure out reasonable thresholds, deposit capital, and hope you got it right. That’s a lot of decisions for someone who just wants to get started.

The new guided wizard walks you through it step by step:

Connect your exchange — enter your API credentials, verify the connection. Aurono checks your balances and shows what’s available.
Preview with real data — before you commit anything, Aurono runs a simulation using the last year of Bitcoin’s actual price history. You see how many trades would have fired, what the P&L would look like, and whether the capital allocation is safe. This uses the same simulation engine as the Lab — it’s not a toy demo, it’s real backtesting.
Review and create — the wizard shows a clear summary of what you’re about to create: asset, exchange, timeframe, buy/sell triggers, amounts, capital. If you like what you see, one click and your strategy is live. If you’d rather tweak the parameters or pick a different asset, you can — the wizard is a starting point, not a locked path.

No guessing. No blank forms. You see the strategy working before it runs.

What if I don’t have euros?

If you’ve just connected your exchange and all your holdings are in crypto — no EUR available — the wizard will soon nudge you toward a different starting point: create a strategy from your existing holdings. Instead of waiting for a buy signal, Aurono would bootstrap the strategy with your current position and start watching for sell signals. That feature is on the backlog, and the wizard is designed to accommodate it.

Trade stories: understanding what your bot did

Here’s what a typical trade view looks like in most trading tools: a table row with a symbol, a side, a price, a quantity, and a timestamp. If you want to understand why that trade happened, you’re on your own.

Aurono now tells you the full story of every trade — and you get to it by clicking the trade row. A small chevron on each row tells you it’s expandable. Click it, and you see something like this:

Bitcoin dropped 5.3%. Aurono decided to buy €10.00 worth of Bitcoin. Limit order placed at €62,400. Filled at €62,380 — €20 better than the limit. Fee: €0.01. €9.98 settled.

That’s it. No event types. No correlation IDs. No raw JSON. Just a clear explanation of the causal chain: what triggered it, what was decided, how it executed, and what settled.

Failure stories matter too

Not every trade succeeds. Sometimes an order gets cancelled because the price moved away. Sometimes there aren’t enough funds. The trade story view handles these too:

Bitcoin dropped 4.1%. Aurono decided to buy €10.00 worth of Bitcoin. Limit order placed at €63,100. Order cancelled — not filled within the evaluation window. €10.00 released back to available capital.

You don’t have to wonder what went wrong. The story tells you.

Time only when it matters

If an order fills instantly, you don’t need to know it took 200 milliseconds. But if a limit order sat open for 3 hours before filling — or was cancelled after a timeout — that context matters. The trade story only includes elapsed time when it explains something:

Order took 3h 12m to fill.

Direct fills stay clean. Slow fills get the context they need.

Small things that add up

This update also includes a handful of UX improvements that came out of a design workshop:

Dashboard cards go straight to strategy detail — clicking a strategy card on the Dashboard now takes you directly to the Evaluate tab. No more intermediate modal.
Trigger parameters visible at a glance — the Evaluate tab now shows a compact line below the strategy name: “Buy €10.00 when price drops 5.59% · Sell €10.00 when price rises 4.41% · Every day · Bitvavo”. You immediately know what the strategy does.
Explore tab shows regime first — when you select an asset in the Lab, the macro regime summary (“Bullish”, “Bearish”, “Ranging”) now appears prominently at the top, before the charts. Non-technical users get the headline without scrolling.

These are small individually, but together they reduce friction across the daily experience.

The principle behind it all

Aurono’s design philosophy is “speak human first, system second.” Every system event should be translatable to a sentence you’d say at the dinner table. The setup wizard applies this to onboarding: you see a preview, not a config file. The trade story applies it to execution: you read a narrative, not an event log.

The raw data is still there — the event store is append-only and fully auditable. But you shouldn’t need it for daily use. Layer 0 is the feeling, Layer 1 is the story. Layers 2 and 3 are there when you want them.

That’s the goal: a trading bot that respects your time and your intelligence, without hiding what it does.

Want the step-by-step? The Setup Wizard guide walks through each screen, and the Activity page docs cover the trade story view in detail.