Order-flow strategy research, made falsifiable
Build and validate order-flow strategies on integrated NQ tick history from 2010 to present—without buying separate historical files or writing research code.
It rewards behavior that repeats when the examples are no longer hand-picked.
Argonaut Edge is an order-flow strategy research system for futures traders. It combines normalized historical data, event-level computation, and a domain-specific research engine—without reducing market behavior to a generic signal arrow.
Describe the setup in plain language or compose it visually from market-structure conditions.
Replay wins, losses, missed trades, and rejected candidates directly on the originating chart.
Measure regime drift, concentration, drawdown, loss streaks, and out-of-sample behavior.
From visual intuition to live evidence
A market-behavior vocabulary
Argonaut Edge translates transaction flow, profile structure, and price response into measurable strategy states. Big Trades Profile is one proprietary sensor—not a standalone signal and not the whole product.
Model absorption, initiative flow, trapped participants, fresh zones, failed acceptance, and decisive traversal.
Know whether a zone is fresh, virgin, touched, accepted, broken, or trapping its initiating side.
Relate order-flow events to RTH and ETH value, HVNs, POC, VWAP, source age, volatility, and approach geometry.
Designed to challenge your idea
A valuable research tool does not manufacture confidence. It reveals when an apparent edge depends on one month, one volatility regime, or three unusually large winners.
You own the hypothesis. Argonaut Edge supplies the market memory, testing discipline, and live observation layer.
The historical data moat
Paid research plans are designed to include controlled platform access to normalized NQ tick and order-flow history from 2010 to present. Customers will not need to buy, download, roll, or repair separate historical tick files.
Planned launch coverage is subject to final CME historical-distribution rights. Live data remains a separate entitlement layer; Argonaut Edge does not sell raw exchange files as a standalone product.
Why the platform compounds
Each advantage begins with a concrete problem futures traders already pay for—in money, time, or false confidence.
THE PAIN Fifteen years of tick history is expensive to buy, difficult to roll, and easy to corrupt.
15+ yearsTHE OUTCOME Start research immediately on normalized transaction flow, profile structure, session context, and price response.
THE PAIN Manual chart review cannot reliably inspect every occurrence or thousands of risk paths.
Every occurrenceTHE OUTCOME Scan the full archive, replay candidates, test controlled variations, and simulate capital paths consistently.
THE PAIN Generic backtesters do not understand trapped flow, fresh profiles, acceptance, or retest lifecycle.
Market-nativeTHE OUTCOME Express absorption, initiative, rejection, traversal, and context as explicit research primitives.
THE PAIN One fixed stop and target cannot reflect how far a setup typically travels—or fails—under different volatility and market regimes.
Regime-awareTHE OUTCOME Compare MFE/MAE, expectancy, hit rate, drawdown, and out-of-sample stability to propose SL, TP, breakeven, and trailing policies for each regime.
Pattern digitization
THE PAIN A pattern can look obvious on a chart but remain almost impossible to explain precisely enough to backtest. Rules drift each time the trader retells the idea.
An EdgeSpec is a named, versioned, machine-testable specification of an order-flow pattern. It turns visual intuition into a reusable research asset that can be compared, audited, monitored, and improved.
Business model
Start with one honest question
Explore sample markets and learn how visual ideas become testable rules.
Build, replay, and challenge order-flow strategies with historical NQ research access built in.
Move surviving order-flow strategies into realtime observation without surrendering control.
Historical NQ research access is planned to be included subject to final exchange licensing. Live exchange entitlements and execution fees may apply. Early-access pricing is illustrative.
Argonaut Edge, in plain language
Clear enough for a trader, an analyst, or an AI research assistant to understand without guessing.
Argonaut Edge is a subscription order-flow strategy research platform for futures traders. It converts visual market observations into explicit rules, then replays and stress-tests every qualified occurrence.
No. Customers define the hypothesis. Argonaut Edge supplies prepared market history, order-flow research primitives, computation, diagnostics, and optional live monitoring for validated rules.
Under the planned launch model, eligible paid plans include controlled access to normalized NQ tick and order-flow history from 2010 to present, subject to applicable exchange distribution licenses. Separate historical files are not required.
An EdgeSpec is a named, versioned, machine-testable description of an order-flow pattern. It stores the source event, context, trigger, invalidation, risk model, evidence, and live research state.
Argonaut Edge can scan the full market archive, replay every candidate, test controlled rule variations, and model thousands of possible equity paths—work that is slow and inconsistent when performed manually.
Yes. Argonaut Edge is designed to compare MFE/MAE, expected return, win rate, drawdown, parameter sensitivity, and out-of-sample stability by market regime. It proposes candidate SL, TP, breakeven, and trailing rules rather than simply selecting the hindsight profit maximum.
Argonaut Edge earns monthly and annual software subscription revenue. Researcher plans combine historical NQ access with strategy research; Live Lab adds realtime monitoring and alerts. Raw exchange files are not sold as a standalone download.
Private research preview
Tell us what you observe, which market you trade, and how you currently validate it. We will turn a small group of early hypotheses into named EdgeSpecs and shape the first release around real research.