swarmalpha Atlas

MARKET STRUCTURE LAYER

Who trades
with whom?

The interface may look identical. What matters economically is whether participants trade with one another, against the provider, against a pool or through an intermediary.

SIDE AMARKET PARTICIPANT
Participants ↔ ParticipantsLimit orders meet under transparent matching rules.
OTHER SIDEANOTHER PARTICIPANT
OPERATOR ROLE

Technology, rules, admission, matching, data, settlement and surveillance—with no economic counterposition as a matter of principle.

STRENGTH

Neutral price formation from competing expectations; the operator’s interests need not correspond with participant losses.

STRUCTURAL RISK

Liquidity may be thin; market quality requires incentives, limits and surveillance.

01 / PEER-TO-PEER EXCHANGE

The trading venue organises.
It does not bet against the participant.

In the ideal P2P model, the platform matches compatible buying and selling interests under rules published in advance. It provides infrastructure and market governance without systematically taking the opposing position.

YES OrderMATCHING ENGINENO Order

02 / ACCESS NATURE

Access is more
than registration.

01 / OBSERVE

Public Data

Read prices, probabilities, order books or research data—without taking a position.

02 / SIMULATE

Virtual Member

Non-monetary opinions using virtual points; no conversion into an asset of monetary value.

03 / DIRECT

Exchange Member

A participant’s own orders enter multilateral matching directly.

04 / INTERMEDIATED

Broker Access

Access and order routing through an authorised intermediary model.

05 / PROFESSIONAL

Institutional / API

Controlled access with limits, reporting and a technical interface.

03 / MARKET MAKER MODEL

Liquidity can conceal
a conflict of interest.

A market maker is not inherently impermissible or unfair. The design becomes critical when counterparty, price setter, execution decision-maker, rule setter and complaints body are the same entity.

01P&L conflict

Participant losses may directly constitute provider revenue.

02Control over price

Quote, spread and fair value are difficult to verify without a reference market.

03Exit dependency

The provider decides whether and at what price a position may be closed early.

04Information asymmetry

The provider sees aggregated customer positions and controls material product data.

05Requote / rejection

Execution may be restricted precisely when conditions become critical.

06Product incentive

Revenue often rises with frequency, short maturities and repeated stakes.

04 / TRADING SURVEILLANCE

Technical operation and surveillance must work together—while remaining subject to controlled separation.

A surveillance function monitors order behaviour, price formation, position concentration, potential collusion, insider indicators and unusual activity. It requires access to complete order and event data and documented escalation powers.

EXCHANGE REGIME

HÜSt in the statutory sense

Under section 7 of the German Exchange Act, the trading surveillance office is an organ of the exchange and monitors exchange trading and settlement. The term presupposes this institutional context.

Open section 7 BörsG
FUNCTIONAL DESIGN

Surveillance Equivalent

Outside an exchange, a platform may establish functionally comparable controls. It should not present them as a statutory HÜSt unless the required status, independence and legal framework exist.

DESIGN PRINCIPLE

Three Lines of Control

Matching engine and operational monitoring; an independent compliance/risk function; external review and the competent authority under the applicable regime.

SWARMALPHA MARKET DESIGN THESIS

Neutrality is not a claim.
It is an architectural decision.

Peer-to-peer matching, transparent priority rules, traceable fees, no concealed house exposure, independent determination and auditable surveillance together define the target model. Legal assessment and any required authorisation nevertheless depend on the specific product and operating model.

View ECGA product sheets