One platform.
Nine converging capabilities.
Trade Longscope is a coordinated set of research, data, AI and control engines. Each component has a purpose, a level of technical maturity and a connection to the broader system.
More 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.
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.