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github.com/AgriQuantAI/AgriQuant-AI
/ functions
Functions
214 in github.com/AgriQuantAI/AgriQuant-AI
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Functions
214
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Types & classes
32
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Endpoints
8
Method
load_models
Load pre-trained models from disk
ensemble_predictor.py:371
Method
predict_price_movement
Predict ag commodity futures price movement Args: weather_data: Current weather conditions and forecast
ensemble_predictor.py:225
Method
process_all_commodity_regions
Run NDVI analysis for all 6 commodity regions. Called in main monitoring cycle.
satellite_ndvi_processor.py:198
Method
regime_dependent_correlation
Calculate correlations conditional on volatility regime Args: returns1: First returns series returns
correlation_analyzer.py:160
Function
root
API root endpoint
dashboard_api.py:24
Method
run_all_reports
Fetch all available supply reports
icco_usda_scraper.py:181
Method
run_backtest
Run historical backtest Test prediction accuracy on past data
main.py:322
Method
run_full_cycle
Full monitoring cycle across all commodities. Runs every 15 minutes in production. Returns aggregated signals for all active
multi_commodity_engine.py:59
Method
seed_historical_data
Seed database with historical freeze events for testing
database.py:443
Method
store_market_price
Store daily market price data
database.py:379
Method
store_performance_metric
Store daily performance metric
database.py:414
Method
store_usda_report
Store USDA crop report
database.py:342
Method
train_models
Train all models in the ensemble Args: X_train: Training features y_train: Training targets (price c
ensemble_predictor.py:141
Method
update_from_satellite_data
Update grove health from satellite imagery
risk_analyzer.py:97
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