gogo2/DATA_STREAM_GUIDE.md

Data Stream Management Guide

Quick Commands

Check Stream Status

python check_stream.py status

Generate Snapshot

python check_stream.py snapshot

What You'll See

Stream Status Output

• ✅ Dashboard is running
• 💡 Guidance message
• 📝 Data stream location note
• Console output examples to look for

Snapshot Output

• ✅ Snapshot saved: data_snapshots/snapshot_YYYYMMDD_HHMMSS.json
• 📝 Note about data location

How It Works

The script connects to your running dashboard instead of creating a new instance:

1. Checks if dashboard is running at http://127.0.0.1:8050
2. Provides guidance on where to find the data stream
3. Generates snapshots with current timestamp and metadata

Where to Find Live Data

The data stream is active inside the dashboard console. Look for output like:

OHLCV (1m): ETH/USDT | O:4335.67 H:4338.92 L:4334.21 C:4336.67 V:125.8
TICK: ETH/USDT | Price:4336.67 Vol:0.0456 Side:buy
DQN Prediction: BUY (conf:0.78)
Training Exp: Action:1 Reward:0.0234 Done:False

When Data Appears

Data will show in the dashboard console when:

1. Market data is flowing (OHLCV, ticks, COB)
2. Models are making predictions
3. Training is active

Snapshot Contents

Snapshots contain:

• Timestamp
• Dashboard status
• Empty data arrays (data is in dashboard console)
• Note about checking console for live data

Usage Tips

• Start dashboard first: python run_clean_dashboard.py
• Check status to confirm dashboard is running
• Watch dashboard console for live data stream
• Generate snapshots to capture timestamps and metadata
• Wait for market activity to see data populate

Files Created

• check_stream.py - Status and snapshot commands
• data_snapshots/ - Directory for saved snapshots
• snapshot_*.json - Timestamped snapshot files with metadata