Add TASK_HANDOFF.md for next agent session

Add volatility prediction experiment script

Update AGENT_HANDOFF.md with v6, D1/D2, 12-gap audit, literature crawl, ready-to-run v7 + volatility scripts

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D2 ckpt: all_done complete

D2 FINAL: returns + walk-forward + baselines

D2 ckpt: baselines_done Baselines computed

D2 ckpt: D2b_done DA=0.4841

D2 ckpt: D2a_done DA=0.5157

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D1a ckpt: all_done D1a-d complete

D1a-d FINAL: close-price experiments complete

D1a ckpt: D1d_done DA=0.5000

D1a ckpt: D1c_done DA=0.4683

D1a ckpt: D1b_done DA=0.4762

D1a ckpt: D1a_done DA=0.5000

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D2a: remove v31 from MODEL_REPO and TRACKIO_SPACE, update checkpoint comment to reference D1a

D1a: remove v31 from MODEL_REPO and TRACKIO_SPACE, remove v3/v4 reference in discussion

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Delete train_v7d.py

Delete notebooks/v3.1_xlstm_ts_replication.ipynb, notebooks/v7d_xlstm_ts_replication.ipynb, notebooks/v3.1a_D1a_paper_exact.ipynb, notebooks/v3.1b_D2a_returns_baselines.ipynb

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Update README with v6 results

Update CLAUDE.md with v6 results

Update with v6 results: DA(ctx)=49.6% WF, confirms random

v6 results: DA(ctx)=49.6% WF (20/78 windows), confirms random

v6 ckpt: walkforward WF 25/78 mean=48.9%

v6 ckpt: walkforward WF 20/78 mean=49.6%

v6 ckpt: walkforward WF 15/78 mean=49.2%

v6 ckpt: walkforward WF 9/78 mean=45.5%

v6 ckpt: train_done DA(ctx)=51.9%

v6 ckpt: training ep 56 best=48