A new dimension of financial intelligence.
Trade Longscope combines quantitative research, AI, multi-asset analysis, risk controls and a vision of advanced automation. A software ecosystem built to bring coherence to complex decisions.
From market complexity to the clarity of a system.
Imagine analysing dozens of markets, reading news, comparing strategies, controlling risk and tracking positions using separate applications.
Trade Longscope is built to bring all of this together. It observes and organises information, tests hypotheses, applies controls and, in its broader vision, can coordinate automated operations when expressly authorised.
This is not a promise of profit: it is a research, control and automation platform developed to make processes more rigorous.
Why we are building Trade LongscopeMore than three features.
A complete architecture.
Each component is designed to work with the others: from data to research, from strategies to risk, and on to controlled automation. Explore the different areas without accessing our code or proprietary details.
Multi-Asset Scanner
Observe multiple asset classes and timeframes in an organised research workflow that distinguishes what is available from what requires further verification.
AI & Learning Engine
A research environment for evaluating models and strategies: comparing alternatives, analysing market regimes and measuring robustness.
Strategy Research & Backtesting
Environments and controls for developing, evaluating and comparing quantitative hypotheses, with attention to sample quality, costs and robustness.
Advanced Risk Engine
A rules engine designed to check data availability, exposure, margin, limits and anomalous conditions before permitting certain actions.
Autonomous Trading & Execution
The broader Trade Longscope architecture includes a decision chain connecting quantitative research, risk checks, intended actions and reconciliation of outcomes.
Position & Portfolio Intelligence
The vision brings together position status, exposure and protective controls to provide a coherent view of risk across instruments and time horizons.
News Intelligence & Market Context
A future direction for bringing economic calendars, relevant events and news into the quantitative context, with clear sources and provenance.
Unified Desktop Workspace
A console designed to bring research, scanners, models, controls and system status together in a coherent interface, without switching between separate tools.
Data Integrity & System Observability
Trade Longscope treats sources, data timeliness, missing data and error conditions separately, while keeping component behaviour observable.
Status labels distinguish existing software components, experimental research and roadmap features. Illustrations do not show real market performance.
Beyond software.
A system that evolves.
Trade Longscope starts from the idea that data, learning, strategies, risk management and operations should not exist in silos. Our vision is a modular platform in which every decision has context, limits and traceability.
A chain of intelligence.
A layer of control at every step.
An architecture described at a high level: information and research do not automatically become orders. Actions require explicit conditions and an authorised operational scope.
High ambition.
Precise information.
The full vision includes automation and adaptive intelligence. The initial B2B Private Beta programme, however, is limited to research and control features.
Does Trade Longscope already exist, or is it just an idea?
Software components, an interface prototype and test systems exist across several subsystems, including research, risk controls and simulation. Full runtime integration and live-data performance are still under validation.
Why does the site also discuss autonomous trading?
Automation is part of the Trade Longscope architectural vision and is being developed and tested under controlled conditions. It is not available to participants in the initial B2B Private Beta, nor does it constitute an offer of financial execution services.
Does the Learning Engine generate profits automatically?
No. The Learning Engine is under research and evaluation: it must be compared with baseline methods and tested out of sample. No returns or proven financial advantages are promised.
Do I need to use money or connect my account?
No. The B2B Private Beta involves no deposits, financial credentials, access to testers’ accounts or execution with real money.
Which operating systems are planned?
Dashboard prototypes for macOS are in development; Windows support is also planned. No public version is ready for testers to download yet.
When can testing begin?
Applications are open now as expressions of interest. Suitable candidates may first take part in discussions or guided demos; software access depends on testing and a separate agreement.