Studies

Most research tools decide the question for you: here is the win rate, here is the average move, take it or leave it. Studies do the opposite. You decide what to study.

A study is whatever question you want answered about an event you have already named with a definition. You write it in plain language, and a large language model turns it into a real, repeatable measurement across your whole history — not a one-off chat answer.

That means there is no fixed list of metrics you are stuck with. "How often did price reach the target" is one question among thousands. The brilliance is that the question is yours.

Study anything about the event

You can study what happens before, during, and after the event — not just the forward return. The model figures out how to express your idea against price, volume, time, sessions, indicators, and your own trades, then runs it over every occurrence.

• After: categorise the price action that follows — does the event tend to lead to a trend, a fade, a chop range, or a clean reversal?
• Before: test whether rising volume into the event raises the chance it actually triggers, or whether a quiet tape kills it
• During: measure how the event itself develops — speed, depth of the sweep, how far it overshoots before resolving
• Conditional: ask whether the behaviour changes by session, instrument, volatility regime, or day of week

How it works

Choose a definition, set the date range and filters, then describe the question in plain English. Chartnaut maps your wording onto the data, collects every occurrence, and returns the measurement: hit rates, distributions, medians, excursions, categorical breakdowns, or whatever your question implied. Refine the wording or tighten the definition and run it again until the sample is clean enough to trust.

What becomes possible

• Ask any question about an event instead of accepting a fixed metric
• Measure that question across hundreds or thousands of occurrences
• Find where the behaviour holds, improves, or disappears
• Turn the answer into a terminal pin so it shows up on the chart when the event fires
• Update playbook rules with evidence instead of opinion

Where it fits

Studies sit between definitions and execution. Definitions find the events. Studies let you ask — and answer — anything about them. When a question survives scrutiny, terminal pins and playbooks carry the result into trading.

Start here

Pick one event you already trade, then write down the single question you most wish you knew the answer to. Run it. The point is not the metric we hand you — it is the question you finally got to ask.