Changes: - CLAUDE.md: Update OOM fix validation status - Add comprehensive documentation (30+ markdown reports) - LSTM encoder varmap bug fix (tft/lstm_encoder.rs:290) - Quantized LSTM layer matching fix (tft/quantized_lstm.rs) - Hyperopt paths module (ml/src/hyperopt/paths.rs) - Training path tests for all adapters (DQN, MAMBA-2, PPO, TFT) - Checkpoint integrity tests - Script cleanup: Remove 29 obsolete deployment scripts - Archive old scripts to scripts/archive/ - New deployment utilities: check_gpu_availability.py, monitor_hyperopt.sh Validation: - OOM fixes validated: 5/5 trials successful (pod b6kc3mc5lbjiro) - Batch-size-max 256 tested successfully - All hyperopt adapters working correctly 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
181 lines
6.0 KiB
Bash
Executable File
181 lines
6.0 KiB
Bash
Executable File
#!/bin/bash
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# Runpod 225-Feature Backtesting Script
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# Tests trained TFT model against Wave D targets
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# Targets: Sharpe ≥2.0, Win Rate ≥60%, Drawdown ≤15%
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set -euo pipefail
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# Color output
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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BLUE='\033[0;34m'
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NC='\033[0m' # No Color
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# Configuration
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MODEL_PATH="models/runpod_trained/tft_225_fp32.safetensors"
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DATA_PATH="test_data/ES_FUT_180d.parquet"
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INITIAL_CAPITAL=100000
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SYMBOLS="ES.FUT,NQ.FUT"
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STRATEGY="ml_adaptive_225"
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START_DATE="2024-01-01"
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END_DATE="2024-06-30"
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echo -e "${BLUE}========================================${NC}"
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echo -e "${BLUE}Runpod 225-Feature Backtesting${NC}"
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echo -e "${BLUE}========================================${NC}"
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echo ""
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# Step 1: Verify model exists
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echo -e "${YELLOW}Step 1/4: Verifying trained model...${NC}"
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if [ ! -f "${MODEL_PATH}" ]; then
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# Try to find any safetensors file
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FOUND_MODEL=$(find models/runpod_trained -name "*.safetensors" -type f | head -1)
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if [ -z "$FOUND_MODEL" ]; then
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echo -e "${RED}❌ No trained model found in models/runpod_trained/${NC}"
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echo "Expected: ${MODEL_PATH}"
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echo ""
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echo "Available files:"
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ls -lh models/runpod_trained/ 2>/dev/null || echo "Directory does not exist"
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exit 1
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fi
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echo -e "${YELLOW}⚠️ Using found model: ${FOUND_MODEL}${NC}"
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MODEL_PATH="$FOUND_MODEL"
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fi
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MODEL_SIZE=$(du -h "${MODEL_PATH}" | cut -f1)
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echo -e "${GREEN}✅ Model found: ${MODEL_SIZE}${NC}"
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# Step 2: Verify data
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echo -e "\n${YELLOW}Step 2/4: Verifying training data...${NC}"
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if [ ! -f "${DATA_PATH}" ]; then
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echo -e "${RED}❌ Training data not found: ${DATA_PATH}${NC}"
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exit 1
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fi
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DATA_SIZE=$(du -h "${DATA_PATH}" | cut -f1)
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ROW_COUNT=$(parquet-tools rowcount "${DATA_PATH}" 2>/dev/null || echo "unknown")
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echo -e "${GREEN}✅ Data found: ${DATA_SIZE}, Rows: ${ROW_COUNT}${NC}"
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# Step 3: Run backtest
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echo -e "\n${YELLOW}Step 3/4: Running backtest...${NC}"
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echo "Configuration:"
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echo " • Model: ${MODEL_PATH}"
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echo " • Data: ${DATA_PATH}"
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echo " • Initial Capital: \$${INITIAL_CAPITAL}"
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echo " • Symbols: ${SYMBOLS}"
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echo " • Strategy: ${STRATEGY}"
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echo " • Period: ${START_DATE} to ${END_DATE}"
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echo ""
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BACKTEST_START=$(date +%s)
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# Run backtest (adjust command based on actual backtesting CLI)
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cargo run -p backtesting --release --features cuda --example feature_comparison_backtest -- \
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--model-path "${MODEL_PATH}" \
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--parquet-file "${DATA_PATH}" \
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--initial-capital ${INITIAL_CAPITAL} \
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--symbols "${SYMBOLS}" \
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--strategy "${STRATEGY}" \
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--start-date "${START_DATE}" \
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--end-date "${END_DATE}" \
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2>&1 | tee backtest_225.log
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BACKTEST_END=$(date +%s)
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BACKTEST_DURATION=$((BACKTEST_END - BACKTEST_START))
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echo -e "\n${GREEN}✅ Backtest completed in ${BACKTEST_DURATION}s${NC}"
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# Step 4: Extract and validate metrics
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echo -e "\n${YELLOW}Step 4/4: Extracting Wave D metrics...${NC}"
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# Extract key metrics from backtest output
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SHARPE=$(grep -oP "Sharpe Ratio[:\s]+\K[0-9.]+" backtest_225.log | tail -1 || echo "N/A")
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WIN_RATE=$(grep -oP "Win Rate[:\s]+\K[0-9.]+" backtest_225.log | tail -1 || echo "N/A")
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DRAWDOWN=$(grep -oP "Max Drawdown[:\s]+\K[0-9.]+" backtest_225.log | tail -1 || echo "N/A")
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TOTAL_PNL=$(grep -oP "Total PnL[:\s]+\$?\K[0-9.]+" backtest_225.log | tail -1 || echo "N/A")
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TOTAL_TRADES=$(grep -oP "Total Trades[:\s]+\K[0-9]+" backtest_225.log | tail -1 || echo "N/A")
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echo ""
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echo -e "${BLUE}========================================${NC}"
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echo -e "${BLUE}Wave D Backtest Results${NC}"
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echo -e "${BLUE}========================================${NC}"
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echo ""
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# Sharpe Ratio validation
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echo -e "${BLUE}Sharpe Ratio:${NC} ${SHARPE}"
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if [ "$SHARPE" != "N/A" ] && [ "$(echo "${SHARPE} >= 2.0" | bc -l 2>/dev/null || echo 0)" -eq 1 ]; then
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echo -e " ${GREEN}✅ Target: ≥2.0 (PASSED)${NC}"
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else
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echo -e " ${RED}❌ Target: ≥2.0 (FAILED)${NC}"
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fi
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echo ""
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# Win Rate validation
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echo -e "${BLUE}Win Rate:${NC} ${WIN_RATE}%"
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if [ "$WIN_RATE" != "N/A" ] && [ "$(echo "${WIN_RATE} >= 60.0" | bc -l 2>/dev/null || echo 0)" -eq 1 ]; then
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echo -e " ${GREEN}✅ Target: ≥60% (PASSED)${NC}"
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else
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echo -e " ${RED}❌ Target: ≥60% (FAILED)${NC}"
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fi
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echo ""
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# Drawdown validation
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echo -e "${BLUE}Max Drawdown:${NC} ${DRAWDOWN}%"
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if [ "$DRAWDOWN" != "N/A" ] && [ "$(echo "${DRAWDOWN} <= 15.0" | bc -l 2>/dev/null || echo 0)" -eq 1 ]; then
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echo -e " ${GREEN}✅ Target: ≤15% (PASSED)${NC}"
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else
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echo -e " ${RED}❌ Target: ≤15% (FAILED)${NC}"
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fi
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echo ""
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# Additional metrics
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echo -e "${BLUE}Additional Metrics:${NC}"
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echo " • Total PnL: \$${TOTAL_PNL}"
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echo " • Total Trades: ${TOTAL_TRADES}"
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echo " • Backtest Duration: ${BACKTEST_DURATION}s"
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echo ""
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# Overall assessment
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echo -e "${BLUE}========================================${NC}"
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PASSED_COUNT=0
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if [ "$SHARPE" != "N/A" ] && [ "$(echo "${SHARPE} >= 2.0" | bc -l 2>/dev/null || echo 0)" -eq 1 ]; then
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PASSED_COUNT=$((PASSED_COUNT + 1))
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fi
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if [ "$WIN_RATE" != "N/A" ] && [ "$(echo "${WIN_RATE} >= 60.0" | bc -l 2>/dev/null || echo 0)" -eq 1 ]; then
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PASSED_COUNT=$((PASSED_COUNT + 1))
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fi
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if [ "$DRAWDOWN" != "N/A" ] && [ "$(echo "${DRAWDOWN} <= 15.0" | bc -l 2>/dev/null || echo 0)" -eq 1 ]; then
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PASSED_COUNT=$((PASSED_COUNT + 1))
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fi
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if [ $PASSED_COUNT -eq 3 ]; then
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echo -e "${GREEN}✅ All Wave D Targets PASSED (3/3)${NC}"
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echo ""
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echo "Model is ready for production deployment!"
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elif [ $PASSED_COUNT -ge 2 ]; then
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echo -e "${YELLOW}⚠️ Partial Success: ${PASSED_COUNT}/3 Targets Passed${NC}"
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echo ""
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echo "Model shows promise but may need fine-tuning."
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else
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echo -e "${RED}❌ Wave D Targets NOT MET (${PASSED_COUNT}/3 Passed)${NC}"
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echo ""
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echo "Model requires additional training or hyperparameter tuning."
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fi
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echo -e "${BLUE}========================================${NC}"
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echo ""
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echo "Next Steps:"
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echo " 1. Review detailed backtest log: backtest_225.log"
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echo " 2. Generate results report: see RUNPOD_225_FEATURE_TRAINING_RESULTS.md"
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echo " 3. Train additional models: DQN, PPO, MAMBA-2"
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echo " 4. Multi-asset validation: NQ.FUT, 6E.FUT, ZN.FUT"
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echo ""
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