What Is Agentic Trading? The Plain-English Guide

Agentic trading means describing what you want in plain English and letting an AI agent do the building: it researches the idea, writes the exact rules, backtests them against years of history, and can run them live through your broker. You stay the decision maker. The agent is the engineer, the analyst, and the operator, and every strategy it runs is still a set of precise rules you can read, question, and switch off.

From algorithmic to agentic

Algorithmic trading solved a real problem: rules written down in advance execute the same way every time, with no fatigue, no hesitation, and no revenge trades. What it never solved was the barrier to entry. Turning an idea into tested, running code meant programming, data plumbing, and months of work, which is why the discipline stayed the domain of quants and institutions.

Agentic trading keeps everything that made algorithmic trading work, the precision, the testing, the discipline, and hands the construction to an agent. The rules still decide every trade. The difference is who writes and babysits them. If algorithmic trading asked "can you code your idea?", agentic trading only asks "can you state it clearly?"

The foundations have not changed, and they are worth knowing: What Is Algorithmic Trading? covers them without assuming any of the tooling.

What the agent does, and what stays yours

On a platform like Horizon, the agent's work spans the whole loop:

• Research. It explores the idea with you, asks about anything ambiguous, and grounds the conversation in how markets actually behave.
• Construction. It turns the described idea into a complete strategy: universe, entries, exits, stops, and position sizing.
• Testing. It runs the backtest against years of historical data and reports the results, good or bad.
• Execution. Once deployed, it places the orders at your connected broker and keeps running while you sleep.

What stays yours is everything that requires judgment. You decide what idea is worth testing, how much risk is acceptable, whether a backtest is convincing, and when a strategy goes live or gets retired. The agent compresses the distance between a question and evidence; it does not decide which questions matter.

How it differs from trading bots

A retail trading bot is usually a fixed program someone else wrote, sold on its marketing claims, running logic you cannot inspect. Agentic trading is close to the opposite: the strategy is built from your idea, the rules are visible, and the backtest that justifies them is yours to interrogate. The honest question to ask any automated system, "what is the tested edge, and what are its risk limits?", finally has an answer you can check. The longer comparison lives in Do Trading Bots Actually Work?

It also differs from copy trading. Copying mirrors someone else's decisions without their reasoning. An agent builds a strategy you understand, sized to your account and your risk tolerance, and shows its work.

What getting started looks like

The path is the same one this curriculum teaches, minus the programming:

1. State the idea. Universe, entry, exit, sizing. If two people reading your description could disagree on a trade, sharpen it.
2. Backtest it honestly. Years of data, realistic costs, and suspicion of anything too beautiful. See How to Backtest a Trading Strategy.
3. Paper trade it. Weeks of live simulation, judged on whether behavior matches the backtest.
4. Deploy small. Real money at reduced size first, with drawdown limits the agent enforces without negotiation.

If you would rather begin from something proven, the strategy templates directory holds ready-made strategies with their historical results attached.

What agentic trading is not

• It is not guaranteed profit. The agent builds and executes with perfect discipline; if the idea has no edge, it loses money with the same discipline. Testing honestly is still the whole game.
• It is not a black box. If you cannot read the rules a system trades, it is a bot, not an agent working for you. Transparency is the point.
• It is not fire-and-forget. Markets drift and edges decay. The agent watches the strategy; you still review the agent's reports and retire what stops working.

Where to go next

The craft underneath agentic trading is unchanged: knowing whether a rule set has an edge before risking money on it. Start with What Is Algorithmic Trading? for the foundations, then How to Backtest a Trading Strategy for the skill that decides everything else.

Frequently asked questions

What is agentic trading?

Agentic trading is trading where an AI agent does the construction and operation: you describe a strategy in plain English, and the agent researches it, writes the precise rules, backtests them against historical data, and can run them live through a connected broker. The trader keeps the judgment calls: what to test, how much to risk, and when to deploy or retire a strategy.

How is agentic trading different from algorithmic trading?

Algorithmic trading is the discipline: precise rules decide every trade. Agentic trading is the modern way to practice it: instead of coding the rules yourself, an AI agent builds, tests, and runs them from your plain-English description. The testing standards and risk discipline are identical; the programming barrier is gone.

Is agentic trading the same as using a trading bot?

No. A typical retail bot is a fixed, opaque program someone else wrote and sold. In agentic trading the strategy comes from your idea, the rules are visible, and the backtest behind them is yours to inspect, so you can verify the edge instead of trusting a sales page.

Do I need coding or trading experience to start?

No coding at all: describing the rules in plain English is the input. Some trading understanding still matters, because you judge the backtest and set the risk limits. That is exactly what this curriculum teaches, from first principles, without assuming either skill.