What 2 Years of Building an AI-Assisted Trading Platform Taught Me

Wayne Griffin — Mon, 29 Jun 2026 21:38:13 +0000

Two years ago I thought the hard part would be writing trading algorithms.

I was wrong.

The hard part was building software that keeps working when real markets, real APIs, and real users get involved.

I built IMALI as a solo developer while driving Uber to fund development. There were plenty of nights where I'd spend hours chasing bugs after finishing a shift.

Along the way I ran more than 75,000 paper trades, tested with my own capital, and rebuilt large parts of the platform after watching early users struggle with the interface.

Lessons I learned

APIs fail more than your code

Exchange APIs change.

WebSockets disconnect.

Rate limits happen at the worst possible time.

You don't build for the happy path—you build for recovery.

Paper trading is harder than it looks

A believable paper trading experience isn't just fake orders.

It has to simulate execution, update positions correctly, calculate P&L, and give users confidence before they ever risk real money.

That became one of the biggest parts of the project.

Risk management matters more than entries

Finding trade opportunities is interesting.

Managing risk is what keeps software usable.

Position sizing, stop-losses, trailing stops, confidence thresholds, and market filters became more important than trying to predict every market move.

User experience is part of the algorithm

I rebuilt the dashboard multiple times.

Not because the trading logic changed—but because users couldn't understand what the bot was doing.

The best algorithm doesn't matter if users don't trust it.

Shipping beats perfection

The platform is still evolving.

But after two years it reached a point where I was comfortable putting real users on it instead of endlessly adding features.

Current architecture
Crypto Spot Trading
Crypto Futures
U.S. Stock Trading
Paper Trading
Live Trading
AI-assisted confidence scoring
Market regime detection
White-label platform for custom trading strategies

I'm still learning every week, but this project has made me a far better engineer than I was when I started.

If you're building something ambitious by yourself, keep going.

Sometimes the biggest milestone isn't writing a clever algorithm.

It's building software people are willing to trust.

I'd love feedback from other developers who have built trading systems, fintech products, or software that depends heavily on third-party APIs.

Demo: https://imali-defi.com/trade-demo

DEV Community: Wayne Griffin

What 2 Years of Building an AI-Assisted Trading Platform Taught Me