A multi-strategy fund

Many ideas,
one shared
discipline.

ChrimatAI is building a multi-strategy fund that combines novel trading tactics with a data-driven, AI-augmented process. Kairos, its operating platform, brings research, risk controls and execution into one record.

Console access is by invitation. Join the Discord

Many strategies. One process. ↓

01 / The approach

Conviction starts
with evidence.

The desk studies events, volatility, positioning and relative opportunities, over whatever horizon a strategy is set to trade. Each idea needs evidence, and each strategy needs a place in the wider book.

Observe01

Research many angles.

Study data connections, catalysts, options pricing and market flows. For each tactic, ask where it may work, what it costs and when it fails.

A hypothesis before a trade
Examine02

Put AI to work.

AI analysts examine data, compare perspectives and propose ideas. Each proposal is recorded and reviewed on the same terms as any other.

Judgment you can examine
Evaluate03

Give every idea limits.

Sizing rules, entry controls and a shared execution service govern the book. The record connects each decision to its outcome.

Risk defined before entry

02 / Meet Kairos

The platform
behind the fund.

Kairos connects the fund’s research, AI analysts, risk controls and execution. Follow an idea from its evidence to the decision and the outcome.

A new strategy earns its place through testing, realistic costs and forward evidence.

kai·ros/ the opportune moment

Ancient Greek for the right moment to act. The desk aims to pair careful observation with disciplined timing.

Open the console Sign in with your invited account.
Inside Kairos

From evidence to outcome.

01 / Observe

Start with what is known.

Read the market through dated observations, source records and explicit gaps.

Market context
Events and volatility
Positioning
Flows and crowding
Source records
What was known when
Evidence, before conviction.
02 / Examine

Make each idea testable.

Register the hypothesis, challenge it with data and count every trial.

AI analysts
Research and proposals
Strategy tests
Rules and baselines
Forward evidence
A record over time
Every strategy earns its place.
03 / Evaluate

Set limits before action.

Review a proposal against sizing rules, exposure caps and drawdown controls.

Position sizing
A stated risk budget
Entry controls
Checks before orders
Drawdown controls
Limits on exposure
Shared rules across the desk.
04 / Follow

Return to the result.

Trace each decision from order to outcome.

The book
Positions and activity
Execution records
Orders and fills
Post-mortems
Outcomes to examine
A record to learn from.

03 / Community

Follow
the work.

See how the desk thinks. Read the research, question the assumptions and help shape better ideas on Discord.

Join the Discord