🌑️ Weather Ensemble

Phase 3: Late Entry + Calibrated 11 Sources 31 Cities Bias Corrected
Paper trading performance & forecast accuracy β€” auto-refreshes every 60s
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πŸ“ˆ Trading
🎯 Forecast Accuracy
πŸ“ Calibration
πŸ”¬ Ensemble Health
$0
Total P&L
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Win Rate
0
Open Positions
$10,000
Bankroll
βš™οΈ Active Config
Stop-Loss: 30%
Min Bet: $500
Min Edge: 20%
Entry Window: 3-24h
Daily Cap: -$2,000
Scan: 30 min
Min Sources: 2
Calibration: Isotonic (883 brackets)
πŸ“ˆ Equity Curve
πŸ™οΈ P&L by City
πŸ“‘ Open Positions
πŸ“Š Performance by Segment
No resolved trades yet
πŸ’° Win Rate by Entry Price
No resolved trades yet
πŸ• Recent Trades
No resolved trades yet β€” positions will appear here when they close
🎯 Forecast Accuracy β€” MAE by City
Open-Meteo historical forecasts vs TWC actuals. 40 dates per city. Lower = better forecasting = bigger edge.
πŸ“‹ City Calibration Detail
πŸ—ΊοΈ City Tiers
πŸ“ Empirical RMSE by City Γ— Horizon
RMSE captures both bias and variance. Used in prob_in_range() for probability calculation. Higher RMSE = wider uncertainty = fewer trades.
πŸ“Š Bias by City
Systematic forecast error. Positive = forecast too low (actual hotter). Negative = forecast too high (actual colder). Corrected in real-time.
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Active Sources
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Avg Sources/Signal
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Cached Forecasts
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Degraded / Offline
πŸ“‘ Source Status
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πŸ“Š Source Distribution
How many sources contribute per cached signal
No cached forecasts yet
πŸ—ΊοΈ City Γ— Source Coverage
Green = source contributing for this city
No cached forecasts yet