SYSTEM ONLINE•CONTINUOUS STREAMING RIVER ML

AI Quantitative Command Center

Real-time multi-table feature fusion (Klines, Funding Rates, Open Interest, Order Book Imbalance, Liquidations) powering low-latency streaming inference and online learning.

Next Online Training05:00
Cycle Interval: 5 min (Continuous)
Progressive Accuracy
56.5%Optimal Corridor

Calibrated 55%-65% progressive target range without overfitting.

Total Samples Learned
41,320+Streams

Streaming incremental updates persisted to host disk volume.

Data Collector Worker
< 1mActive Ingest

Polls Binance spot & futures every 60s for 15 crypto pairs.

Concept Drift Alerts
2ADWIN Guard

Autonomous drift detection dynamically adapting to market regime shifts.

Live Prediction Matrix (Real-Time Signals)

Live multi-table inference syncing...

Connecting to AI Inference Engine...

Online Streaming Learner Telemetry

Continuous Loop

The worker ingests incoming multi-table data every 5 minutes, updates ensemble decision weights incrementally without catastrophic forgetting, and detects concept drifts with ADWIN.

Cycle Count#14
Learner StatusActive
Last Training< 2m ago
Data Ingest PulseEvery 60s

6-Table Feature Telemetry

Every inference vector synthesizes metrics across all 6 PostgreSQL database tables:

  • Klines: OHLCV, EMA(9,21), RSI, ATR, BB
  • Funding Rate: 8h perpetual basis skew
  • Open Interest: Contract units & USD delta
  • Long/Short Ratio: Top trader sentiment
  • Order Book: Depth imbalance & bid/ask spread
  • Liquidations: Forced margin cascade volume
Explore Raw Database Records →