// 01
Control the data
Select catalog-backed market data, one symbol, a native timeframe, dates, timezone, and session. Exact coverage must be confirmed before any test begins.
Atlas AIVector Ridge research partner
Research · Build · Test · Iterate
FROM MARKET IDEA TO TESTED MODEL.
Atlas turns plain-English research questions into explicit, testable workflows. Choose a bounded dataset, define the strategy, run deterministic tools, inspect every receipt, and improve the model from evidence—not invented numbers.
Interactive Atlas access is limited. Applications enter a review pool for future cohorts; admission is not guaranteed. Strategy results appear only after a completed deterministic receipt.
What Atlas does
ONE RESEARCH LOOP. NO BLACK BOX.
Atlas is the explanation and orchestration layer around deterministic research tools. It helps you choose inputs, formalize rules, interpret computed results, expose weak assumptions, and decide what to test next.
// 02
Build explicit strategies
Closed beta currently executes supported typed ORB and three-bar FVG templates on approved one-minute futures data. Other ideas remain research drafts until an executor is supported.
// 03
Run deterministic tests
Supported strategy tests return a completion receipt. Atlas waits for that receipt before showing metrics.
// 04
Inspect and iterate
Review P&L, trades, equity, drawdown, validation, and receipts. Change one explicit parameter set, branch, compare, and preserve lineage.
The Atlas workflow
FIVE GATES FROM DATA TO DECISION.
Click through the workflow. Every stage has a clear input, a concrete artifact, and a stop condition. Atlas asks for missing definitions instead of quietly making them up.
Gate 01 · Data contract
CHOOSE A BOUNDED DATA SLICE.
Start in Data Sources. Select Market Bars, one symbol, the required timeframe, a defensible date range, source timezone, and session interpretation. Coverage gaps remain visible.
Artifact produced
Metadata-only Data Vault handoff
How to use the data lab
START IN DATA SOURCES. HAND OFF THROUGH DATA VAULT.
“Data lab” is the workflow; the product surfaces are Data Sources and Data Vault. You choose the research slice. The handoff sends metadata and prerequisites—not a raw market-data dump—to Research Chat.
Choose the source
Use Market Bars for strategy research, or attach a trade-log CSV for performance, regime, risk, and improvement analysis.
Lock the universe
Select the asset class, symbol or contract, an inventory-backed native timeframe, and a bounded date window. Catalog presence alone does not prove runtime support.
Declare time correctly
Confirm the source timezone and session. “Regular” is never silently interpreted; RTH, ETH, and custom sessions produce different trades.
Hand the contract to Atlas
Atlas receives the dataset reference and declared prerequisites. Raw bars stay protected and are not placed in the conversation.
Review before running
Before running, read the generated StrategySpec and trust no trades, P&L, equity, or validation result without its runtime receipt.
Ask well
START WITH A RESEARCH CONTRACT.
Good prompts name the market, timeframe, session, entry logic, exit logic, costs, risk limits, and validation target. Choose an example, then copy it for later.
Typed strategy · ORB
Evidence before explanation
EVERY NUMBER NEEDS A RECEIPT.
Atlas does not create performance figures. Only a completed run receipt can supply them; Atlas explains what they mean, where they may be fragile, and what evidence should be collected next.
Strategy specification
Exact typed entry, exit, size, cost, risk, session, and parameter rules.
Source coverage
Dataset identity, time range, gaps, frequency, timezone, and session contract.
Trade ledger
Timestamped entries, exits, reasons, costs, and per-trade outcomes.
P&L and equity
Net results, drawdown, distribution, path, and risk-adjusted context.
Validation gates
Chronology, holdout, costs, OHLC integrity, parameter stability, and failure flags.
Version lineage
Parent artifact, explicit parameter patch, branch, comparison, and saved receipt history.
Research boundaries
POWERFUL WHERE IT SHOULD BE. BLOCKED WHERE IT MUST BE.
Atlas is a research and model-building partner, not a trading oracle. It can research and test supported strategies; it cannot alter live signals or execute trades.
ATLAS CAN
- Turn a defined idea into an inspectable typed strategy.
- Route questions into deterministic analysis tools.
- Explain runtime receipts, surface fragility, and propose the next test.
- Analyze bounded trade logs and approved derived research artifacts.
ATLAS CANNOT
- Invent missing data, performance, or strategy results.
- Execute arbitrary uploaded model source or expose sealed model internals.
- Change live signals, alerts, account settings, or brokerage execution.
- Guarantee a profitable strategy or replace financial judgment.
AI LabFull research and model-building workspace.Closed beta
Trading TerminalContextual research beside the active market view.Beta surface
Investor DeskThesis, portfolio, and evidence-aware research support.Beta surface
Future workspacesAtlas follows the product context without changing its research boundaries.Planned
Atlas AI · Vector Ridge
BUILD THE MODEL. CHALLENGE THE MODEL. KEEP THE RECEIPTS.
Atlas AI Lab is in Closed Beta. Explore the public preview, or apply for a future cohort to build, test, and compare supported strategies with source and receipt lineage preserved.