| name | adversarial |
| version | 2.0.0 |
| description | Adversarial intelligence — behavioral detection, whale tracking, sentiment analysis |
| author | VelonLabs |
| skills | [{"name":"fomo_detector","class":"FOMODetector","module":"skills.adversarial.sentiment","description":"Fear-Of-Missing-Out and panic regime detection","triggers":["fomo","panic","greed","sentiment","behavioral"]},{"name":"whale_tracker","class":"WhaleTracker","module":"skills.adversarial.whale","description":"On-chain whale transaction classification","triggers":["whale","onchain","accumulation","distribution"]}] |
| dependencies | [] |
Adversarial Intelligence
FOMODetector
Detects FOMO and panic regimes from price/volume dynamics.
from skills.adversarial.sentiment import FOMODetector
fomo = FOMODetector()
result = fomo.detect(
symbol="BTC/USDT",
prices=[50000, 52000, 55000, 58000],
volumes=[100, 500, 2000, 8000],
)
WhaleTracker
Classifies whale transactions as accumulation, distribution, or neutral.
from skills.adversarial.whale import WhaleTracker
whale = WhaleTracker(etherscan_api_key="your_key")
cls = whale.classify_whale_transaction(
from_addr="0x...",
to_addr="0x...",
value_eth=1500.0,
)
