An automated trading system you buy once — not rent forever

Most NinjaTrader systems are subscriptions: a monthly fee, every month, for as long as you trade. SI-Trader is sold the old way — $569 USD, one time — and this page does the honest math on both models.

The math

SI-Trader (one-time)Typical subscription system
Up front$569 onceFirst month: often $100–$200
After 6 months$569 total, forever$600–$1,200 and counting
After 2 yearsStill $569$2,400–$4,800 — and you own nothing
If you stop payingNothing to stop — it's yoursThe system switches off
Feature tiersNone — every buyer gets the whole systemOften gated behind higher tiers

The subscription column is a pattern, not a quote of any single competitor — check the current terms of any system you are considering, because the model, not the marketing, decides what you pay over a trading career.

When a subscription is honestly the better deal

Renting is not always wrong. If you want to trial a system for one month before committing, a subscription's low entry price is rational — as long as you actually decide at the end of the month. Subscriptions also suit services with real ongoing costs, like hosted data or a staffed signal desk. What they do not suit is a finished piece of software sitting on your own computer: there, the monthly fee buys you nothing new after month one.

Why SI-Trader is sold this way

The fine print, in the open: one purchase licenses one computer (extra machines need their own licence), and changing computers is handled with a free licence move. NinjaTrader itself, your data feed, and your brokerage are separate and not included.
Get SI-Trader — $569 one-time

Full breakdown: what the $569 covers, line by line.

Risk disclosure: Trading futures involves substantial risk of loss and is not suitable for every investor. Past performance — including any backtested or hypothetical results — is not indicative of future results. SI-Trader is software, not financial advice, and buying it does not guarantee profits. Only trade with capital you can afford to lose.