Running a Custom Research Study With an AI Agent
A custom research study is when you ask an AI agent a specific question about market behavior and it runs the numbers to answer it. Instead of a full trading strategy, a study tests a single question, like "after a stock gaps up more than three percent at the open, what usually happens by the close?" You describe the behavior you're curious about and the horizon you care about, and the agent gathers the relevant historical data, measures the outcomes, and shows you what actually happened across many past cases. It comes back as plain results and an explanation, not a recommendation. A study is for learning how something behaved, not for predicting the next occurrence. It's a fast way to check a hunch with real data instead of relying on a story you heard.
Beyond preset strategies, an AI agent can design a custom measurement to test an idea against your own data. How in-chat research studies turn a question into evidence.
Key points
- A custom research study answers one specific question about market behavior, rather than building a full strategy.
- You describe the pattern you're curious about and the time horizon, in plain language.
- The agent gathers the relevant historical data and measures what happened across many past cases.
- Results come back as plain numbers and an explanation, so you can see the actual behavior instead of guessing.
- A study describes the past and never predicts the next occurrence, so it's context for your thinking, not advice.
- It's a quick way to check a hunch with real data before you build a whole strategy around it.
Frequently asked questions
What's the difference between a research study and a backtest?
A backtest tests a full set of buy and sell rules to see how a strategy would have performed. A study is narrower: it answers a single question about behavior, like what tends to happen after a certain event. A study often comes first, to check whether an idea is even worth building into a strategy.
What kind of questions can I study?
Anything you can describe as a repeatable situation and an outcome. For example, how a stock behaves the day after earnings, what follows a big gap up, or how often a move continues versus reverses. You give the situation and the horizon, and the agent measures it.
Do I need data or spreadsheets ready?
No. You describe the question and the agent gathers the historical data itself, then measures the outcomes. You read the results rather than assembling anything by hand.
Can a study tell me what will happen next time?
No. It shows how similar situations played out in the past across many cases, which is helpful context, but the next occurrence can differ. Use it to understand tendencies, not to predict a single event.
Where do I run a custom study in Agenticks?
The AlgoAgent can run custom research studies right inside the chat. You describe the behavior you want to check, and it pulls the historical data, measures the outcomes, and explains what it found, so you can test a hunch before building anything bigger.
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This content is for educational purposes only and does not constitute financial advice. Trading involves risk, including possible loss of capital.