Define the strategy.
Understand the results.
Write a strategy specification. Analyze your equity series.
Keep the assumptions, calculations and evidence together.
From an idea to explicit rules.
Define the asset universe, signal timing and execution assumptions before writing code.
Create a strategy briefExplicit research rules.
Check the evidence behind the result.
Inspect data timing, hold-out periods and costs. Separate an attractive result from a defensible experiment.
Explore validation methodsInspectable experiments.
Look beyond the headline return.
Read drawdown, position size and trading costs together. Make the calculation assumptions explicit.
Analyze an equity seriesNot only the endpoint.
A workspace. Two clear outcomes.
Build your strategy brief
Edit an original template, define nine research fields and export a specification you can review.
Open workspace ↗Review your equity path
Import CSV observations and inspect total change, annualization and drawdown with an exportable report.
Open workspace ↗Structured editing and local calculations. No connected AI model or backtest engine in this version.
Different questions.
Clearer directions.
Find the methods and tools that fit the task in front of you.
All research applicationsI am starting quantitative research
Build your first research brief and understand the essentials.
I want to use AI in strategy research
Turn generated rules into a specification you can inspect.
I am researching stocks or ETFs
Align asset selection, data conventions and rebalance assumptions.
I need to review a strategy report
Trace conclusions back to data, calculations and evidence.
Less guesswork.
More understanding.
Five free calculators.
Visible formulas. Defined assumptions.
Maximum drawdown
Build knowledge you can use.
Know what to expect.
What can I do here today?
Create and export a structured strategy brief, import a dated equity series, inspect total change and drawdown, and use five standalone calculators. Each tool explains its inputs and calculation scope.
Do I need an account or a data connection?
No account or external data account is required. Inputs are processed in the current browser tab. Export your work before leaving, because edits are not saved automatically.
Can the studio run AI models or backtests?
The current version provides structured editing and deterministic analysis. It does not call an AI model, fetch market prices or execute a strategy. The research library explains how to review these workflows in your own environment.
How can I check an exported result?
Read the formula and measurement basis, compare the original observations and reimport the JSON report. Equity metrics are recalculated on import. The report establishes arithmetic consistency with the inputs; it does not verify the data source.