Markets ยท Dual Strategy Engine
Autonomous liquidity radar with dual-strategy architecture. The Whale hunts major liquidity sweeps (3-10% moves). The Minnow darts in front of whale momentum for quick scalps. Both run in parallel with coordinated risk management.
The strategies don't operate in isolation โ they talk to each other:
Each strategy manages its own paper treasury with coordinated risk:
| Strategy | Allocation | Position Size | Max Leverage | Stop Loss |
|---|---|---|---|---|
| ๐ Whale | $60,000 (60%) | 45% per trade | 3x | 2% |
| ๐ Minnow | $40,000 (40%) | 12% per trade | 2x | 0.8% |
Both strategies expose the same UDC-compliant API surface:
| Endpoint | Description |
|---|---|
| /health | UDC health payload with proof + steward |
| /api/strategy/info | Current strategy config (whale/minnow) |
| /api/whale/update | POST new candle batch |
| /api/activity/snapshot | Current market state for all symbols |
| /api/ai/thinking | Real-time AI analysis and decisions |
| /api/treasury/snapshot | Paper treasury status |
| /api/positions/live | Current open positions |
| /api/signals/entry | Entry signal for symbol |
| /api/signals/exit | Exit signal for symbol |
Run your own bridge to feed live data into either strategy:
git clone https://github.com/fullpotential-ai/whaletrack-magnetic-trader.git
cd whaletrack-magnetic-trader
pip3 install -r bridge/requirements.txt
# For Whale (1h candles, big moves)
export BRIDGE_TIMEFRAME=1h
export BRIDGE_CANDLES=500
export WHALETRACK_API_BASE=https://fullpotential.ai/dashboards/whale/api
# For Minnow (5m candles, quick scalps)
export BRIDGE_TIMEFRAME=5m
export BRIDGE_CANDLES=100
export WHALETRACK_API_BASE=https://fullpotential.ai/dashboards/minnow/api
python3 bridge/bridge_service.py