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Detect, label, and scan W (double-bottom) patterns on 90-day OHLCV data with a rules engine + optional ML; includes S&P 500/Nasdaq-100 scanners, charts, and CSV exports.

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
ML2		ML2
catboost_info		catboost_info
misc		misc
ml1		ml1
noML1		noML1
phase1_formation_only		phase1_formation_only
phase2_with_outcomes		phase2_with_outcomes
phase3_manual_analysis		phase3_manual_analysis
relaxed_patterns		relaxed_patterns
reports		reports
sp500_scans		sp500_scans
strict_w_patterns		strict_w_patterns
training_data		training_data
true_w_patterns		true_w_patterns
yfML		yfML
.DS_Store		.DS_Store
README.md		README.md
rules1.py		rules1.py

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W_Stock_Pattern

W_Stock_Pattern

W_Stock_Pattern

W_Stock_Pattern

wPattern

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Detect, label, and scan W (double-bottom) patterns on 90-day OHLCV data with a rules engine + optional ML; includes S&P 500/Nasdaq-100 scanners, charts, and CSV exports.

python cli finance numpy scikit-learn pandas pattern-recognition matplotlib technical-analysis financial-data financial-analysis stock-scanner yfinance

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Python 100.0%