A Tuesday
What does a typical day look like for the Fahali detection engine? It is Tuesday. The markets are open. The system has been running continuously for weeks without interruption. Here is what happens in a single day of continuous market monitoring.
00:00 UTC — The Cycle Continues
The detection engine does not sleep. Markets close in one time zone and open in another. The 60-second scan cycle runs around the clock. At the start of each cycle, the orchestrator pulls fresh data from Binance WebSocket feeds and Alpaca's market data API — order books, trade prints, candlestick data, funding rates.
Every 60 Seconds — A Complete Scan
Each scan processes every monitored symbol through all 18 detection engines in parallel. The orchestrator distributes symbols across engine threads, collects results, and feeds them into the 7-engine consensus system. A typical cycle processes approximately 300 alerts across all monitored symbols.
Every 15 Minutes — Regime Recalculation
The Adaptive Weighting Mechanism recalculates engine weights based on the detected market regime. Is the market trending or ranging? Is volatility expanding or contracting? Are correlations breaking down? The AWM adjusts weight distributions so the consensus system reflects current conditions. The results are written to the AWM weights table and emitted as agent events.
Throughout the Day — Signals Are Written and Resolved
Dark pool flows may be detected in the first Asian session hour — a volume anomaly in an otherwise quiet symbol. By the London open, order book thinning appears in selected equities. The early warning system flags a developing funding rate divergence in a crypto perpetual swap. Each detection is written to the alerts table with a confidence score, a timestamp, and a forecast horizon.
Meanwhile, the learning engine is resolving yesterday's signals: some are marked correct, some incorrect, some expired stale. The resolver compares the predicted outcome against actual price movement within the forecast window. Results flow into the accuracy tables. The scorecard updates.
Signal Types That Appear
On a typical Tuesday, the system generates signals across a range of detection types:
- Order flow — institutional buy/sell pressure diverging from price
- Volume anomaly — a symbol seeing 3x normal volume with no news catalyst
- Stablecoin depeg — a stablecoin trading 50 bps off peg on a single venue
- Volatility term structure — backwardation in futures signaling near-term stress
- Correlation breakdown — two historically correlated assets diverging sharply
- Dark pool accumulation — reconstruction suggesting institutional buying in small lots
End of Day — No Restart Needed
The system does not batch-process at end of day. It does not wait for market close to analyze. Every second is a new scan. Every scan is a fresh look at the market. By the time Tuesday becomes Wednesday, the system has completed approximately 1,440 scan cycles, processed millions of data points, and generated thousands of calibrated signals. No restart. No catch-up. Just continuous observation.
Read-Only Throughout
Throughout the entire day, the system never places an order, never modifies a position, never touches a trading API. It observes. It analyzes. It reports. That is the entire job, and it does it continuously.
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