Methodology, governance, and controls — for diligence.

What the platform is — and is not.

DealerFlow Terminal is a financial-technology platform. It reads market structure, order and dealer flow, volatility, and positioning; resolves them into a calibrated, directional read per symbol; and executes the rules you configure, at the level of automation you choose. Your firm defines the strategy and owns every investment decision.

It is not a registered investment adviser, broker-dealer, or financial planner. It does not manage money, exercise discretion over your accounts, or issue recommendations. The analytics are descriptive decision-support; the execution engine acts only on rulebooks you author and arm.

Methodology — the Diamond.

Every symbol, on every horizon, resolves to a single object we call the Diamond: a calibrated win-probability with a confidence interval, an effective sample size, the prevailing market regime, and a conviction tier. It is designed to be sized against, not blindly followed — thin evidence is labelled INSUFFICIENT DATA rather than presented as a false precision.

Six analytical families

Each family contributes an independent long and short sub-score. They combine under adaptive weights into the composite that anchors the Diamond.

• AStructural — levels, ranges, and market structure.
• BFlow / DEX — dealer flow and delta exposure.
• CVolatility — the IV surface, skew, and volatility regime.
• DTechnical confirmation — EMA structure, fractals, and momentum.
• EBayesian calibration — a historical hit-rate prior applied as a bounded multiplier.
• FPositioning & scenarios — gamma exposure, walls, and charm / vanna dynamics.

Dealer positioning — the gamma map many desks buy as standalone research — is a single lens here, informing families B and F. It is an input to the Diamond; it is not the Diamond.

Conviction tiers

Reads are graded so position sizing keys off calibrated edge, and low-conviction reads are excluded rather than merely discouraged.

Continuous calibration & model governance.

Indicators drift and regimes rotate, so the composite does not trust a fixed formula. It measures its own realized hit-rate and re-weights each family on a nightly cycle — bounded, shrunk toward priors, and fully recorded, the way a model-risk function would require.

Where a fund's model-risk policy references frameworks such as SR 11-7, this design maps cleanly: documented methodology, independent validation evidence, bounded change control, and an auditable record of every model update.

Multi-timeframe & regime conditioning.

The same math runs across eight horizons, from minutes to a month. The Diamond Ribbon aligns them into one view; where horizons disagree, the disagreement is surfaced explicitly — a trader-horizon long against a keeper-horizon short is shown, never silently averaged into a misleading middle.

Every read is conditioned on the prevailing dealer-positioning and volatility regime. The same setup carries different odds in positive-gamma tape than in negative-gamma tape, and the calibration reflects that.

Execution & risk controls.

Execution runs at three levels, chosen per strategy and per account: manual (decision support), semi-automated (staged or shadow), and fully automated (armed). Nothing is armed that you did not configure.

• ✓Versioned Trade Profiles — per-ticker sizing, stops, trailing, chase and spread guards, entry offsets, and time windows.
• ✓Firm-level risk desk — daily loss caps, position limits, time-slot windows, and a hard kill switch that flattens to paper instantly.
• ✓OBSERVE → SHADOW → LIVE — promote a strategy from analytics-only to a durable “would-have-placed” audit to armed, one account at a time.
• ✓Maker-checker — arming live and changing risk limits require a second approver; every action is audited.
• ✓Block & allocate — one order allocates across your accounts and SMAs at average price (institutional routing on the roadmap).

Three systematic engines

The same rulebook and risk desk feed three engines, so a strategy can be expressed directionally, structurally, or as an overlay — without stitching together separate vendors.

• →Directional equity — reads price structure and momentum across horizons and executes qualifying setups end-to-end.
• →Defined-risk options — constructs and manages multi-leg options structures, laddering, rolling, and reconciling as conditions move.
• →Income overlay — detects eligible holdings and systematically overwrites them for yield.

The engines are execution surfaces for the rules you configure. They do not originate discretion — direction, structure, and eligibility are governed by your Trade Profiles and the read.

Security & tenant isolation.

Each fund runs in its own dedicated instance — dedicated compute and an isolated, encrypted database. Within that instance, private account data is enforced at the row level and scoped to the owning tenant; nothing crosses between clients.

Deployment, connectivity & posture.

We operate and update the platform centrally; you control where it runs and who reaches it. Deploy inside your own AWS VPC or in our managed environment.

Roadmap items are scoped with design partners. We will map your custody, mandate, and reporting requirements during onboarding and are transparent about what is available today versus in build.

What a Diamond contains.

Each read is a structured object, not a colour or an arrow. These are the fields your team can inspect, log, and reconcile — the same payload that drives the Ribbon, the auto-trader, and the prediction log.

Onboarding & operations.

A design-partner onboarding is scoped, hands-on, and reversible at every step — you reach live only when your team is satisfied with what it has seen in shadow.

• 1Scope & deploy — we stand up your private instance, connect your broker and licensed data, and load your universe and mandate constraints.
• 2Configure — your team builds Trade Profiles, sets the risk desk, and chooses families, horizons, and automation level per strategy.
• 3Observe & shadow — analytics run live and your rules shadow-fill against real conditions, producing a durable record with no capital at risk.
• 4Arm — promote to live one account at a time, under roles, limits, maker-checker, and a full audit trail.

We operate, monitor, and update the platform centrally. New families, calibration improvements, and fixes reach your instance without your team running a release process. Support and incident response are handled directly by the team building the platform.

Diligence questions.

Do you take discretion or place trades on our behalf?

No. The platform executes only the rules your firm authors and arms, under your risk controls. It never exercises discretion, and it can run purely as decision-support with execution disabled.

Can another client ever see our data?

No. Each fund runs in a dedicated instance with an isolated database and row-level tenant enforcement. There is no shared data plane across clients.

What happens if the models misbehave?

Bounded change control caps nightly weight moves; an anomaly override can freeze updates; and the risk desk plus kill switch sit above execution independently of the analytics. Reads with thin evidence are suppressed rather than shown.

How do we validate performance ourselves?

The prediction log records every read and its realized outcome, and the reliability curve and walk-forward evidence are available for your own inspection inside your instance.

What is genuinely available today versus roadmap?

Analytics, calibration, Schwab execution, tenant isolation, audit, and attribution are live. Institutional FIX / multi-custodian routing, pre-trade compliance, custodian reconciliation, and SOC 2 Type II are in build and scoped with design partners — we do not overstate readiness.

Glossary.

Availability, backups & continuity.

Because each fund runs in its own instance, availability and recovery are managed per client rather than shared across a multi-tenant fleet. We are explicit about what is contractual today versus maturing under the SOC 2 program.

Service levels, retention windows, and recovery objectives are agreed per engagement. We would rather commit to what we can operate reliably at your scale than publish a number we cannot stand behind during diligence.