Notice
Before you read on: what the0racle is not
the0racle is a research and development project of Singular Ventures. It is not an investment service, it manages nobody's money and it is not open to the public: it takes no clients, no users and no money to trade with.
Nothing on this page is financial advice, an investment recommendation, or an offer or invitation to invest.
Today it runs in simulation only, on a synthetic market. It does not trade real money: that mode does not exist, either in its configuration or in its code.
We publish no results or returns here. A simulation on a synthetic market is no evidence of how a strategy would behave in a real one.
The problem
If an AI proposes, who decides?
The question behind the0racle is not how to be right. It is how to govern a system in which an AI agent proposes trades: who has the final say, and how you prove afterwards what happened.
Proposing is not deciding
A language model can propose, but it should not have the final say. There has to be a fixed rule, one with no opinions, between the proposal and the order.
No record, no review
If a decision leaves no trail, it cannot be reviewed. And a trail that someone can change without it showing is no use either.
A simulation can mislead
A test that ignores what trading costs, or that leaves the AI inside the loop, proves nothing. You have to know what does not count as evidence.
How it works
The path of a decision
the0racle is the machine that brings order to that path. The strategies it includes are there to exercise it: they are not an investment thesis.
Data
The system takes a snapshot of the day's market. Today that market is synthetic, and every data point states its source.
Context
A detector with fixed rules describes the state of volatility. It can only reduce the size of a position; it does not predict.
Proposal
A proposer, which can be a strategy with fixed rules or a language model, puts a trade forward. It has no access to execution.
Risk
The risk engine checks the proposal against its limits, sizes it and approves or rejects it. Its veto is absolute.
Execution, in simulation
Only an approved decision becomes an order, and today a simulated broker executes it. The book is reconciled every day; if it does not match, the system stops.
Trail, stop and governance
Every step is added to an audit chain that can be verified. There is a kill switch, and starting again is a manual decision.
Risk first
Before every order, a rule with no opinions
An absolute veto
The risk engine is code with fixed rules. What it rejects is not executed, whoever proposed it.
Defined risk only
It works with a closed list of structures. None with an undefined maximum loss.
Checks before the order
Every order goes through prior checks on value, volume, price band and duplicates before it leaves.
A stop in levels
The system can stop on losses, on a mismatch or by hand. Restarting is always manual.
Trail and governance
What happened can be checked
A verifiable audit chain
Every relevant action adds a link to a chain that only grows. A verification detects whether someone has cut it or rewritten it.
A governance cockpit
The project moves forward in phases, and every phase has a gate: evidence that can be checked and a person's signature. An agent can only leave notes.
The provenance of every data point
Real and synthetic data are never mixed without a label. The panel always says where what it shows comes from.
What counts as evidence
A simulation with a language model inside does not count, and neither does one on a synthetic market. The system itself rejects them as proof.
AI in its place
Where the AI is and where it is not
What it does
It prepares, monitors and explains. It can propose a trade, behind the same gate as any other strategy. Today that proposer is switched off by default.
What it does not do
It does not execute, set limits, size positions or sign off. Those decisions belong to fixed rules or to a person.
Progress so far
What has been built so far
The test for calling this first version done is that the machine works, vetoes correctly and is traceable. Not returns.
A prior feasibility analysis
Before any code was written: literature and state of the art, other people's real experience, technical options and the regulatory and tax framework, with a log of the decisions still open.
A synthetic market and pricing
A reproducible market of index options, with pricing and sensitivity measures.
The risk engine, tested against adverse cases
Position sizing and the risk engine are complete and tested with adverse cases.
Historical simulation with costs
It accounts for spreads, commissions, slippage and margin. And it does not allow a language model inside the loop.
Audit, stop and daily report
A verifiable audit chain, a kill switch and a report at the close of every cycle.
A web panel and options analytics
A panel to watch the system and analyze options strategies. The panel reads and queues requests: it never executes.
Real data, for analysis only
Real data can be loaded for analysis, each with its source. The engine still runs on the synthetic market.
Governance and currency
Phases with a gate and a human signature, and a module that measures currency exposure and recommends: it creates no orders.
What is missing
What does not exist yet
Real options data
The options are still synthetic. A data provider has yet to be contracted and validated against a real market.
Paper trading
The step between simulation and the market: mock orders on real prices. It is prepared, not running.
Real money
Out of this version by design. Opening it requires a code change and a decision signed by a person.
Identity and several users
Today the panel asks for no login and signatures are self-declared. Real identity for whoever signs is still missing.
Current status
In development, and in simulation only
- StatusIn development: first local version
- ModeSimulation only, on a synthetic market
- Real moneyNo: that mode does not exist in the software
- Open to the publicNo
- Business decisionsOpen: what has been decided so far is provisional
- Who is behind itSingular Ventures, part of The Beacon Holding
Who it is for
Today, a lab of our own
If the approach interests you
If you work in risk, audit or the governance of AI agents and would like to compare notes on the approach, let's talk.
If the project interests you
The project page for investors is at Singular Investments. What is financed is the development of the platform: the0racle takes no money to trade with.
Shall we talk about how to govern an agent?
If the technical approach interests you, or you would like to collaborate on the research, write to us. This is not an investment service and we give no advice.