Real-time monitoring of all trading activity across all users
The Admin Trading Monitor aggregates data from multiple trading subsystems to provide a unified view for troubleshooting, compliance monitoring, and performance validation.
Tracks the full progression from internal testing through to production trading, with validation gates at each stage.
Tracks order lifecycle timestamps to measure execution quality across all connected brokers.
| Metric | Good (Green) | Warning (Yellow) | Poor (Red) |
|---|---|---|---|
| Accept Latency | <500ms | 500-1000ms | >1000ms |
| Avg Fill Latency | <1000ms | 1000-2000ms | >2000ms |
| P95 Fill Latency | <1000ms | 1000-2000ms | >2000ms |
| Fill Rate | ≥95% | 80-95% | <80% |
Measures time from tick start to trade decision across each phase of AI processing. Helps identify bottlenecks in price fetching, context loading, PINN models, and rule evaluation.
| Metric | Healthy (Green) | Warning (Yellow) | Investigate (Red) |
|---|---|---|---|
| Total Decision Time | <2000ms | 2000-5000ms | >5000ms |
| Price Fetch | <200ms | 200-500ms | >500ms |
| Context Prefetch | <500ms | 500-1000ms | >1000ms |
| PINN Prediction | <1000ms | 1000-2000ms | >2000ms |
| Rule Evaluation | <100ms | 100-500ms | >500ms |
Trades are classified by their origin to understand the mix of manual vs automated activity.
Super admins can force-stop any running algorithm, which flattens all positions and records an audit trail.
| Schema.Table | Purpose | Key Fields |
|---|---|---|
predict.algorithm_runs |
Active/completed algorithm runs | mode, started_at, ended_at, starting_equity |
predict.algorithm_trades |
Trades from DSL algorithms | symbol, side, executed_qty, executed_price, pnl |
predict.algorithm_kills |
Guardrail stop events | triggered_by, layer, reason, metric_value |
predict.algorithm_run_status |
Real-time tick status | last_tick_at, last_action, indicators_json |
predict.algorithm_live_metrics |
Equity curve telemetry | equity, daily_pnl, current_drawdown |
trading.mock_portfolios |
User portfolios with credits | total_equity, current_balance, settings |
trading.mock_trades |
All mock/paper/live trades | signal_id, signal_confidence, algorithms_used |
predict.broker_orders |
Order timestamps for latency | submitted_at, accepted_at, filled_at |
billing.ai_credit_transactions |
LLM usage records | model, prompt_tokens, completion_tokens, amount_cents |