Shared signal frame
Research and Execution use canonical feature-generation semantics to reduce the risk of live drift from tested behavior.
Broker-aware execution control for research-validated systems.
The Execution Software is a private live-trading runtime that preserves Research signal semantics while adding the controls required for real-money operation: market-data readiness, bid/ask-aware trigger evaluation, order lifecycle governance, account and position reconciliation, portfolio admission gates, state persistence, runtime health monitoring, and fail-closed recovery.
Product positioning
The production bridge between proprietary research evidence and live execution.
Execution Software is not a generic trading bot. It is a broker-connected execution and portfolio-control layer that preserves research-to-runtime signal parity while surrounding live decisions with state authority, risk gates, reconciliation, and operational supervision.
Core capabilities
Live operation is handled as a controlled system, not a one-off automation script.
Market-data readiness
Historical bars, live market data, contract identity, and session windows are checked before runtime decisions are released.
Bid/ask-aware evaluation
Live entries and exits are evaluated against side-appropriate executable market conditions rather than simplified bar-close assumptions.
Order lifecycle authority
Order identifiers, submission, cancellation, replacement, fills, commissions, and completed-order evidence are centrally governed.
Allocation and admission gates
Runtime decisions can be gated by portfolio state, exposure, capital policy, active positions, and candidate admission logic.
Reconciliation and supervision
Account snapshots, position truth, trade ledgers, stale-data controls, restart gates, and health checks support an auditable operating posture.
Execution flow
The runtime adds broker and control infrastructure that research software should not carry.
Research defines and validates systems. Execution reconstructs the signal state, checks live context, evaluates executable conditions, routes broker-aware orders, persists lifecycle records, and reconciles back to account and position truth.
01 System contextLoad active systems, symbols, windows, and candidate parameters.
02 Signal frameRebuild canonical engineered features with research-equivalent semantics.
03 Runtime gatesCheck market data, portfolio state, and admission policy.
04 Order lifecycleManage order IDs, submission, cancels, replacements, fills, and fees.
05 ReconcilePersist state and reconcile trades against broker account and position truth.
Execution strengths
The architecture targets the failure modes of moving from backtest to live trading.
Signal drift control
The shared signal layer reduces the risk that live logic approximates or reimplements research logic differently.
Broker-state authority
Account, position, open order, completed order, execution, and commission records are treated as necessary runtime truth sources.
Restart resilience
Durable state, ID management, replay guards, reconciliation, and restart controls reduce ambiguity after runtime interruption.
Fail-closed controls
Stale data, missing reconciliation, unhealthy runtime context, and failed readiness conditions can block live action rather than degrade silently.
Public disclosure boundary
This page does not publish broker account details, live positions, credentials, order-routing code, private APIs, strategy logic, runtime commands, or trade recommendations.