generated from mathias/template-go-web
fa6dcaae0aa66932090084b80a579404fac2023b
- fixtures/phase-a-toy.json — scaffold source for `autoresearch start`
Phase A live run: val_vol_r2 metric, daily EUR/USD, HEPA encoder toy
- .gitignore: add runs/ (ephemeral run dirs), metrics.json, embeddings.json,
HEARTBEAT, STATUS.md, pyc/__pycache__/.pytest_cache, eval binary
- untrack metrics.json (was a stale committed sample, now gitignored)
Launch on koala:
python scripts/autoresearch_start.py fixtures/phase-a-toy.json phase-a-toy
op run -- env LITELLM_KEY="$LITELLM_KEY" \
python loop.py --run-dir runs/phase-a-toy --iters 3
Closes the last gate on jepa-fx-risk#11 Phase A (code shipped v1.4.0;
live run pending).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
hostexecutor
Generated from
mathias/template-go-web.
Bootstrap
After creating from template, run:
go mod tidy # regenerate go.sum with real module path
task generate # generate templ files
task build # build the binary
Description
JEPA-based latent representation learning for FX trading risk management — research project
370 KiB
Languages
Python
76.4%
Go
18.4%
Shell
4.3%
templ
0.6%
Dockerfile
0.3%