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docs(qc): Batch 6 - HandsOn AI Trading 19/19 examples complete#287

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jsboige merged 1 commit intomainfrom
feature/batch6-handson-examples
Apr 19, 2026
Merged

docs(qc): Batch 6 - HandsOn AI Trading 19/19 examples complete#287
jsboige merged 1 commit intomainfrom
feature/batch6-handson-examples

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@jsboige jsboige commented Apr 18, 2026

Summary

  • Complete mapping of all 19 Applied ML examples from Hands-On AI Trading book (Section 06)
  • Update HANDSON_AI_TRADING_MAPPING.md with ✅ status and backtest metrics for Ex05/06/07/08/14/17/18
  • Add 4 new project entries to the Projects table (Positive-Negative-Splits-ML, Stoploss-Volatility-ML, Dividend-Harvesting-ML, ML-HeadShoulders-CNN)
  • Fix set_holdings overload in SVM-Wavelet-Forecasting main.py

Backtest Results (QC Cloud)

Example Sharpe CAGR Net Profit MaxDD
Ex05 SVM Wavelet 0.167 5.07% 28.1% 20.5%
Ex07 Splits ML 1.736 90.8% 2883.7% 42.4%
Ex14 Temporal CNN 0.734 20.51% 154.1% 21.6%
Ex17 HeadShoulders CNN -46.8 0.03% 0.15% 0.1%
Ex18 Chronos Foundation 0.277 7.23% 63.0% 13.5%

Test plan

  • All 5 examples have working code with main.py
  • All backtested on QC Cloud successfully
  • MAPPING file rows updated with correct project paths
  • Projects table updated with new entries

Closes #143

🤖 Generated with Claude Code

Complete mapping of all 19 Applied ML examples from Hands-On AI Trading:
- Ex05 SVM Wavelet: Sharpe 0.17, CAGR 5.07%
- Ex06 Dividend Harvesting: project linked
- Ex07 Positive-Negative Splits: Sharpe 1.74, CAGR 90.8%
- Ex08 Stoploss Volatility ML: Lasso-based dynamic stop loss
- Ex14 Temporal CNN: Sharpe 0.73, CAGR 20.5%
- Ex17 HeadShoulders CNN: pattern detection with synthetic model
- Ex18 Chronos Foundation: Sharpe 0.28, CAGR 7.23%

Also fix set_holdings overload in SVM-Wavelet-Forecasting main.py.

Closes #143

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@jsboige jsboige merged commit 274362a into main Apr 19, 2026
@jsboige jsboige deleted the feature/batch6-handson-examples branch April 19, 2026 10:47
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feat(QC): ML-based projects from HandsOnAITrading book + official docs

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