AI CRYPTO TRADING AGENT · PRE-RELEASE

Autonomous decisions.
Defined boundaries.

We’re building an AI agent for BTC spot trading. It watches the market around the clock, makes its own buy, sell, hold and sizing decisions inside limits you set, and explains every one.

In development. Today’s demo is a synthetic, rule-based simulation.
No LLM decisions or real-money trading are available.

AGENT / 001PRODUCT CONCEPT
01 / OBSERVETimestamped market information

02 / DECIDE

The agent
originates the decision.

BUYSELLHOLDSIZE
03 / CHECK INDEPENDENTLYYour authorization. Your risk limits.
Execution only inside an approved mandate

Intended architecture. AI and live execution are not implemented.

One focused starting point.BTC spotNo leverageSimulation firstCustomer-defined limits

THE PRODUCT WE’RE BUILDING

Delegated decisions.
Accountable by design.

Set the boundaries, then let the intended agent choose what to do within them. The goal is an autonomous decision-maker, not a tool that waits for you to supply a strategy.

01

You define the mandate

Choose the capital budget, permitted market, risk limits and when authorization expires.

Planned product capability
02

The AI forms a decision

Analyze permitted, timestamped information. Propose buy, sell or hold, a position size and an explanation.

AI engine under development
03

Controls check the action

A separate deterministic layer checks permissions and risk before any intended execution.

Basic checks exist in simulation

Decision quality has to be earned. We plan to compare LLM, quantitative and hybrid approaches against simple benchmarks after costs. We have no verified alpha or evidence of profitability. If the agent ever progresses to real-money use, we will first publish its forward paper-trading record, losses included. Paper results are simulated: they are not real returns and do not predict future performance.

AN HONEST LOOK AT TODAY

Explore the working prototype.

This replay uses the existing simulator, unchanged. Seeded fictional prices and synthetic news fixtures drive fixed rules. No LLM generates these decisions.

SYNTHETIC RULE REPLAYEngine v0.1.0

FICTIONAL BTC PRICE · INDEXED TO 100

A reproducible simulation.

READY
Synthetic price replayFictional hourly price observations. Not real market data or investment performance.
SYNTHETIC HOUR 4848-bar warm-up completeHOUR 1,079

1,080 synthetic hourly bars · 48-bar warm-up · 10 bps fee + 5 bps slippage per fill. These are simulation assumptions, not exchange quotes.

Ready. Nothing connects to an exchange or a real account.
What this demo does—and what it cannot establish

The Trend, News and Risk modules are deterministic rules. “News” is a synthetic fixture, not a news service. Signals use prior completed bars; simulated fills use the next open. The replay shows the guarded strategy only.

Basic checks cover new exposure, daily loss, buy frequency, stale data, a kill switch and declared sources. They cannot guarantee maximum losses. This demo has no order book, network latency, live paper service, model inference or exchange integration.

Identical engine version, seed and settings reproduce identical outputs. The JSON includes the synthetic inputs, their SHA-256 hash, settings and full result. Synthetic results cannot establish investment usefulness or profitability.

ONE AGENT. TWO WAYS TO USE IT.

Which version would
earn a place in your workflow?

We’re testing demand before choosing the MVP. Both proposed offers originate their own trading decisions and share mandatory permissions and risk controls.

APROPOSED OFFER

For individual traders

$49 / month planned price

A focused autonomous agent, with a mandate you control and understandable explanations of its decisions.

  • Your allocation and risk boundaries
  • Decision history and transparent monitoring
  • Pause and revoke authorization
I’d use the individual agent
CPROPOSED OFFER

For professional trading teams

$149 / month per team planned price

The same autonomous agent, with a minimal layer for teams that need to govern deployment and integrate decisions.

  • Everything in the individual proposal
  • Team permissions and version approvals
  • Deployment visibility and decision export
I’d evaluate it with my team

Prices are the planned launch prices we’re testing, for the same agent in both offers. Nothing is available or charged today, and no exchange connection is requested.

BUILD WITH US

A better agent starts
with a real use case.

Tell us what you would delegate, what you would need to trust, and whether you would pay for it.

Join the research and early-access list. We may invite you to an interview or a clearly scoped paper pilot. Signing up does not provide trading access.

No deposit. No exchange credentials. No promised launch date.

A FEW CLEAR ANSWERS

Before you join.

Is the AI agent available today?

No. Leeboard is pre-release. The current prototype is a rule-based simulator. A genuine AI engine, continuous paper operation and production exchange execution are proposed development phases.

Will it eventually be able to execute real trades?

That is the intended product direction: customers authorize autonomous execution inside an explicit mandate. Live execution would require testing, a security review, a compliance assessment and separate authorization. This website cannot place trades or connect accounts.

Does the demo show profitable AI trading?

No. It uses synthetic prices and fixed rules, without an LLM. Neither the demo nor the research establishes profitability or verified alpha. Real trading can lose capital; risk limits do not guarantee a maximum loss.

What does professional early access include?

We’re researching whether teams would pay more for governance and deployment capabilities around the same agent. Team roles, approvals and API access are proposed, not implemented. A signup helps us decide what is worth building.