Paper — every trading figure here (positions, orders, P&L, equity, returns) is simulated on an Alpaca paper account. No real capital is at risk, and no order is ever placed with your money. Running costs shown under ops, such as LLM spend, are real.

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Public

What is SentinelHub

An AI trading-intelligence layer that does the homework — and hands you the discipline most traders never get to use.

Most people who trade lose money over time. The reason usually isn't a lack of good ideas — it's a lack of discipline: no consistent position sizing, no stop-losses, no limit on how much can go wrong at once. Professional desks have whole systems for this. SentinelHub gives you the same kind of disciplined, always-watching infrastructure, in plain language.

What it actually does

SentinelHub continuously studies the market and turns that work into clear, explainable recommendations. Think of it as a tireless research analyst that:

  • ·Researches — reads the broad market backdrop, then hunts for sectors that have been beaten down but have a real reason to recover.
  • ·Scores — rates each opportunity for quality and conviction, and explains the reasoning behind every score.
  • ·Recommends — proposes specific, risk-controlled trades, each one already wrapped in a protective plan (a target to take profit and a level to cut losses).

You stay in the loop

SentinelHub is the intelligence layer — it researches, explains, and proposes. You are the decision-maker. Nothing is hidden: for any recommendation you can ask "why?" and get a real answer, because every decision is recorded with the evidence behind it. You observe what the system sees, configure how it works, and review what it did. The platform's job is to make good decisions easy to understand and easy to approve.

Two parts, one system

Behind the scenes there are two pieces. A disciplined trading engine handles the careful mechanics of placing protected trades. The intelligence layer you see in this app reads everything the engine does, reasons about it, and explains it to you. The two are deliberately separated so the part that touches money stays simple, predictable, and safe.

The income-engine doctrine

SentinelHub is built around one core belief: many small, high-probability wins beat one big bet. It is not trying to hit a home run on a single trade. It aims to be right a little more often than not, across hundreds of small, tightly controlled trades — so the edge comes from consistency, not luck.

  • ·Small, sized trades — each position is kept small enough that no single trade can move the needle much on its own.
  • ·Protection on every trade — a profit target and a loss limit are set the moment a position is opened, never an afterthought.
  • ·Survival first — capital preservation outranks any single opportunity. If a trade needs convincing, the system skips it.

The doctrine

Every other "AI trading" pitch promises a few hero trades. SentinelHub does the opposite: the edge is statistical persistence across many small wins — and the discipline to accept small losses along the way.

Ready to look around? The next page walks you through signing in and taking the guided tour of your dashboard.