Files
Vanszs 82d010fcf2 fix: remove leaked models + add honest data/backtest tooling
- Delete all old XGBoost/HMM models trained with the order-block look-ahead
  leak (models/backups/* + root models). They reproduced a fake 63.9% WR /
  2.64 PF that collapses to ~35% WR / 0.95 PF once the leak is fixed.
- scripts/collect_data.py: dedicated raw M1+M15 collector (paginated)
- scripts/fast_backtest.py: vectorized GPU backtest for honest validation
- backtest_live_sync.py: read SYMBOL from env (XM uses GOLD, not XAUUSD)
- stop tracking generated data/training_data.parquet

See upstream report: GifariKemal/xaubot-ai#4
2026-06-06 18:21:50 +07:00

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# Environment and secrets
.env
.env.local
.env.*.local
*.pem
*.key
credentials.json
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# Virtual environments
venv/
ENV/
env/
.venv/
# IDE
.idea/
.vscode/
*.swp
*.swo
*~
# Logs (ignore all content)
logs/
*.log
# Data files (large)
data/market_data/
data/trade_logs/trades/*.csv
data/trade_logs/ml_data/*.csv
# Models (large binary files)
models/*.pkl
models/*.joblib
models/*.h5
# Backtest results (generated run artifacts)
backtests/results/*.csv
backtests/*_results/
backtests/**/*.xlsx
backtests/**/*.log
backtests/ml_v3/training_log*.txt
backtests/ml_v3/*.pkl
backtests/*_results/*.pkl
# Node modules (dashboard)
web-dashboard/node_modules/
web-dashboard/.next/
web-dashboard/out/
# OS files
.DS_Store
Thumbs.db
desktop.ini
# Temporary files
*.tmp
*.temp
*.bak
# Jupyter
.ipynb_checkpoints/
# Docker
docker/data/
# Archive
archive/
# Runtime files
bot.pid
bot_output.log
nul
data/bot.lock
data/bot_status.json
data/signal_persistence.json
data/model_metrics.json
# Stray analysis output dumps
*_analysis_output.txt
training_output.log
# Claude Code local settings
.claude/
backtests/.claude/
# Screenshots
*.png
# Kiro CLI local settings
.kiro/
# Generated multi-TF dataset cache
data/multitf_dataset.parquet
data/training_data.parquet