نسيج بيانات واحد. مصدر حقيقة واحد. Every view derived from it.
Market, alternative and operational data land on one ordered, time-aware event stream. The warehouse, research, reports and the Observatory all read from the same record, and every answer Ask Ada gives cites the decision ledger.
One canonical stream. No second set of books.
Positions, trades, prices and factor exposures land on a single ordered log. Warehouse tables are materialized views of it; streams are the same log, live; research features are the same log, windowed. Every dashboard, backtest and filing draft answers the same question with the same numbers.
It is the same data plane Adaptic runs its proprietary fund on, with its own capital.
Extracts, reconciliations, a daily miracle.
OMS to a reconciliation engine, administrator to a warehouse, warehouse to a BI tool, and a feature store nobody trusts. Three dashboards, three numbers, and an afternoon deciding which one is right.
One stream every view derives from.
One canonical event stream that every feed, model and dashboard derives from. Live by default, point-in-time correct by construction, and able to reproduce an old view on demand.
Clean enough for models, risk and audit.
Market, alternative and operational data normalized into one time-aware fabric, with one schema across the firm.
- Unified warehouseA warehouse-native model of positions, trades, prices, factors and reference data. One schema, firmwide.
- Live streamsEvent streams for orders, fills, prices and risk updates, so dashboards and alerts never wait for an overnight batch.
- Versioned and time-awarePoint-in-time correctness by construction. A view rebuilt years later reproduces what the firm saw at the time.
- Data catalogEvery field documented, owned and lineage-tracked, so an analyst can trust what they query without asking around.
من سِجل المصدر إلى إجابة قابلة لإعادة الإنتاج. to reproducible answer.
خمس مراحل تحمل رقماً واحداً من لحظة وصوله إلى لحظة ظهوره في تقديم — كل مرحلة قابلة للتتبُّع، وكل مرحلة قابلة لإعادة التشغيل.
- 01 · Source captureEvery inbound message, whether a vendor tick, a broker drop or an administrator file, is hashed, timestamped and written to an insert-only staging log before any parser touches it.
- 02 · Canonical modellingTyped, schema-validated events are appended to the canonical stream, each pointing back to its source record.
- 03 · Feature derivationFeatures are computed as ordered transforms over the canonical log, each carrying the exact code version that produced it.
- 04 · Point-in-time replayRe-run a prior-period report with that period’s data, code and mandate, and get the same answer.
- 05 · Governance and accessPersonal, material non-public and restricted fields are tagged at ingest and enforced in the query engine itself, not at the dashboard.
Every trade explains itself.
The Observatory reads the record and renders it. Trace any outcome from portfolio to name to factor and back, or ask Ada in plain language; every answer cites the ledger.
Why was the single-name order refused this morning?
Pre-trade refused it: the order would have taken the name to 7.3% against the mandate’s 7.0% cap. It was recorded and returned to the agent; no human action was required.
Cites ledger row #18342 · Mandate v3 · §4.2
Illustrative sample response
- Portfolio lensPosture, limits and headroom: the distance to every threshold the mandate sets.
- Name lensThesis, position and lineage, including the clause that authorized the size.
- Factor lensRates, dollar, oil, volatility, growth, credit and liquidity, traced to the exposure behind a move.
The Observatory does not write, approve or release capital. A report or filing Ada drafts needs a named approver before it goes anywhere.
Built on the record, not bolted on.
Research and reporting live alongside the data, reading the same versioned record the kernel and the Observatory read.
Research
- Feature storeEngineered factors and alternative-data features, versioned and reproducible, feeding research notebooks and live models alike.
- NotebooksA notebook workspace with the warehouse connected and access enforced: no CSV exports, no orphaned notebooks on laptops.
- BacktestingReplay, slippage and stress as a standing gate, run against versioned, point-in-time data.
- Model evaluationRobustness and drift measured continuously against reproducible inputs.
Reporting
- Report draftsStatements, risk and compliance views and board packs, drafted from the ledger and exported to PDF or XLSX.
- AttributionFactor-level attribution and exposure reporting, drilling down to the underlying positions.
- Compliance viewsSurveillance and exception reporting drawn from the same canonical record.
- ApprovalA material statement waits for a named approver before it is sent.
موصول مسبقاً بالمصادر التي تستخدمها الفِرَق المؤسسية. investment teams use.
Adaptic مُصمَّمة للاتصال بمصادر البيانات المرجعية والتسعير والبنية الدقيقة والبيانات البديلة وإدارة الصناديق والمستودع والتدفُّق التي يستخدمها فريق استثمار فعلاً — مع مسار «أحضِر مفتاحك الخاص» لكل ما عدا ذلك.
- platformData.sources.categories.referencePricingBloomberg · Refinitiv / LSEG · FactSet · S&P Capital IQ · ICE · Morningstar
- Market dataNasdaq TotalView · Cboe · NYSE · Databento · Polygon.io · Kaiko
- platformData.sources.categories.alternativeDataYipitData · M Science · RavenPack · Quandl / Nasdaq Data Link
- Fund accounting and administrationSS&C GlobeOp · Citco · SEI · Northern Trust
- Warehouse targetsSnowflake · Databricks · BigQuery · Redshift
- platformData.sources.categories.streamingBiKafka · Redpanda · Tableau · Power BI
تشير أسماء المورِّدين إلى أهداف تكامل صُمِّم النظام لدعمها؛ ولا يعني إدراجها هنا تأييداً أو علاقة تجارية قائمة.
ما يسأل عنه مدير البيانات الرئيسي أولاً. asks first.
Stop migrating data. Start reading it.
In a six-week shadow pilot we load a sample extract from your current stack into a read-only Adaptic warehouse, with no capital at risk, so you can see your data on one record.