51 lines
1.4 KiB
Bash
51 lines
1.4 KiB
Bash
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#!/bin/bash
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# Daily ML Model Training Script
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#
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# Downloads fresh data and retrains the regime detection model.
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# Can be run manually or scheduled via cron.
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#
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# Usage:
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# ./train_daily.sh # Full workflow
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# ./train_daily.sh --skip-research # Skip research validation
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set -e # Exit on error
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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cd "$SCRIPT_DIR"
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LOG_DIR="logs"
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mkdir -p "$LOG_DIR"
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TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
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echo "[$TIMESTAMP] Starting daily training..."
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# 1. Download fresh data
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echo "Downloading BTC-USDT 1h data..."
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uv run python main.py download -p BTC-USDT -t 1h
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echo "Downloading ETH-USDT 1h data..."
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uv run python main.py download -p ETH-USDT -t 1h
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# 2. Research optimization (find best horizon)
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echo "Running research optimization..."
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uv run python research/regime_detection.py --output-horizon data/optimal_horizon.txt
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# 3. Read best horizon
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if [[ -f "data/optimal_horizon.txt" ]]; then
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BEST_HORIZON=$(cat data/optimal_horizon.txt)
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echo "Found optimal horizon: ${BEST_HORIZON} bars"
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else
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BEST_HORIZON=102
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echo "Warning: Could not find optimal horizon file. Using default: ${BEST_HORIZON}"
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fi
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# 4. Train model
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echo "Training ML model with horizon ${BEST_HORIZON}..."
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uv run python train_model.py --horizon "$BEST_HORIZON"
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# 5. Cleanup
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rm -f data/optimal_horizon.txt
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TIMESTAMP=$(date +"%Y-%m-%d %H:%M:%S")
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echo "[$TIMESTAMP] Daily training complete."
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