// trading bots — built to spec
i also build robots that trade.
not signals. not a course. a machine that runs your strategy while you sleep — coded, backtested, paper-traded, then live at a size you control.
// 01 — THE RECEIPT
// LIVE + PUBLIC
a $1,000 bankroll traded by a bot i built — low-DTE options on QQQ through a broker api. every position, win or loss, posted in public. no cherry-picking. that's the standard your bot gets built to.
the same class of build ran a paper-trading bot on SPY — watch signals, size the entry, log every decision, prove the edge before real dollars ride it.
// 02 — HOW A BOT GETS BUILT
01 / the edge
you bring the idea — a setup you trade by hand, a signal you trust. we define it precisely enough that a machine can't misread it.
02 / the code
python against your broker's api. entries, exits, sizing, kill-switches. every decision logged so you can audit the bot like an employee.
03 / the backtest
the strategy runs against years of data before it touches a dollar. you see the drawdowns before they see you.
04 / paper first
it trades fake money in real markets until the logs prove it does what the backtest promised. only then does it go live — at a size you set.
// not financial advice. i don't pick your strategy or promise returns — i build the machine to your spec, and the market does what it does.
// 03 — START ONE
bring the edge you already trade by hand. i'll tell you straight whether it's automatable, what it costs, and how long it takes.