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Polymarket-specific terminology, trading strategies, and API reference.
npx skill4agent add niller2005/polyflup polymarket-tradingevidence = (score - 0.5) × 2 # Scale to -1 to +1
log_LR = evidence × 3.0 × quality # Quality factor (0.7-1.5x)
log_odds += log_LR × weight
confidence = 1 / (1 + exp(-log_odds))BAYESIAN_CONFIDENCESELECT
AVG(CASE WHEN bias='UP' THEN edge ELSE -edge END) as avg_edge,
COUNT(*) as total,
SUM(CASE WHEN result='WIN' THEN 1 ELSE 0 END) as wins,
CAST(wins AS REAL) / COUNT(*) as win_rate
FROM trades
WHERE settled = 1
GROUP BY method;SCALE_IN_TIME_LEFTedgeedgeedgeedgetruncate_float(value, 2)from src.trading.orders import get_midpoint, get_spread, check_liquidity
# Get accurate midpoint price
price = get_midpoint(token_id)
# Check if liquidity is good
if check_liquidity(token_id, size=100, warn_threshold=0.05):
# Safe to tradefrom src.trading.orders import place_batch_orders, place_market_order
# Batch Orders
results = place_batch_orders(orders)
# Market Sell
result = place_market_order(token_id, amount=10.0, side="SELL", order_type="FAK")