How anticipatedd/anticipatedd works
This repository is primarily a collection of AlphaNova cross-sectional signal submissions, not the Vane-Guard RAG platform described in the profile README. The principal workflow is an evaluator supplying historical features and targets to a selected predictor, then requesting cross-sectionally de-meaned asset signals. The graph highlights representative ridge-based and factor-based approaches, plus the separate Ames housing experiment. Several submission files are near-duplicates; their unsampled details and exact evaluator wiring are not inferred.
Main entry points: predictor.py Predictor interface · latest_submission.py Latest ridge predictor · my_submission.py Ridge predictor variant · FINAL_SUBMISSION_MyPredictor_ELITE.py Elite ridge variant
Components 14
Predictor contract
- Predictor interface
predictor.py
Signal submissions
- Latest ridge predictor
latest_submission.py - Ridge predictor variant
my_submission.py - Elite ridge variant
FINAL_SUBMISSION_MyPredictor_ELITE.py - Final ridge variant
FINAL_SUBMISSION_MyPredictor.py - AlphaNova ridge
alphanova_signal_submission.py - Cycle 2 allocation
Season1Cyc2_submission.py - Factor ensemble
submission.py - AmonRa predictor
submission.py - Demeaned signal
Separate experiment
- Housing regression pipeline
harigov63/notebookbddot.py - Price predictions
Other components
- Competition evaluator
- Housing CSV data
Connections 19
- Competition evaluator → Predictor interface: supplies inputs
- Predictor interface → Latest ridge predictor: contract for
- Predictor interface → Ridge predictor variant: contract for
- Predictor interface → AlphaNova ridge: contract for
- Predictor interface → Cycle 2 allocation: contract for
- Latest ridge predictor → Demeaned signal: returns signal
- Ridge predictor variant → Demeaned signal: returns signal
- AlphaNova ridge → Demeaned signal: returns signal
- Cycle 2 allocation → Demeaned signal: returns positions
- Competition evaluator → Elite ridge variant: selects candidate
- Competition evaluator → Final ridge variant: selects candidate
- Elite ridge variant → Demeaned signal: produces signal
- Final ridge variant → Demeaned signal: produces signal
- Competition evaluator → Factor ensemble: selects candidate
- Competition evaluator → AmonRa predictor: selects candidate
- Factor ensemble → Demeaned signal: produces signal
- AmonRa predictor → Demeaned signal: produces signal
- Housing CSV data → Housing regression pipeline: read by
- Housing regression pipeline → Price predictions: blends predictions