Aazim Haque.
Personal / Projects / Systematic trading model

Systematic trading model

Machine learning · Finance

An ongoing experiment in whether I can find any real edge in markets. Emphasis on experiment - I'm nowhere near trusting it with real money.

The stocks paper harness - live equity, positions, costs and an equity curve tracked against buying and holding SPY
The stocks book - live equity, positions and costs, tracked against simply buying and holding SPY.
The crypto paper harness - equity, long/short split and funding costs, benchmarked against holding BTC
The crypto book, benchmarked against holding BTC. Some weeks it's ahead, some weeks it isn't.

Paper-traded for now, with costs included. A private research repo, so there's no public instance, but ask me how it's going and I'll be honest about it.

What it does

I'm trying a few systematic trading systems across stocks, commodities and crypto: turning signals into positions, and testing them carefully enough to spot when I'm fooling myself.

It's research, not a fund. I care less about the returns than about learning where these methods actually help and where they just overfit.

How it works

Each system is tested walk-forward: fit on the past, test on the next unseen window, then roll the window forward. That ordering matters: it's the difference between a real test and accidentally peeking at the future.

Everything is backtested with trading costs included, and runs in paper mode for now, to see if anything actually works before any real money is involved.