GitHub

Performance Issues

This guide helps optimize Planar performance and resolve speed-related problems.

Compilation and Startup Issues

Slow First Run

Problem: Initial startup takes several minutes.

Solution:

# Use precompiled sysimage
julia --sysimage=planar.so --project=Planar

# Or use Docker with pre-built sysimage
docker run docker.io/psydyllic/planar-sysimage

Repeated Compilation

Problem: Code recompiles on every run.

Solution:

Memory Issues

High Memory Usage

Problem: Planar consumes excessive memory.

Solution:

Memory Leaks

Problem: Memory usage grows over time.

Solution:

Out of Memory Errors

Problem: System runs out of memory during large operations.

Solution:

Backtesting Performance

Slow Backtests

Problem: Backtests take too long to complete.

Solution:

CPU Bottlenecks

Problem: High CPU usage during backtests.

Solution:

Data Performance

Slow Data Loading

Problem: Historical data takes long to load.

Solution:

Database Performance

Problem: LMDB operations are slow.

Solution:

Network Performance

Slow API Calls

Problem: Exchange API calls are slow.

Solution:

Rate Limiting Impact

Problem: Rate limits slow down operations.

Solution:

Strategy Performance

Slow Strategy Execution

Problem: Strategy logic is slow during backtests.

Solution:

Indicator Calculation Bottlenecks

Problem: Technical indicators slow down strategy.

Solution:

Optimization Strategies

Parameter Optimization Performance

Problem: Parameter optimization takes too long.

Solution:

Multi-Strategy Performance

Problem: Running multiple strategies is slow.

Solution:

System Optimization

Julia Configuration

Operating System Tuning

# Increase file descriptor limits
ulimit -n 65536

# Optimize memory settings
echo 'vm.swappiness=10' >> /etc/sysctl.conf

# Use performance CPU governor
echo performance > /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor

Monitoring Performance

Built-in Profiling

External Monitoring

Hardware Recommendations

Minimum Requirements

  • CPU: 4+ cores, 2.5+ GHz
  • RAM: 8GB+ (16GB+ recommended)
  • Storage: SSD recommended for data directory
  • Network: Stable internet connection

Optimal Configuration

  • CPU: 8+ cores, 3.0+ GHz (Intel/AMD)
  • RAM: 32GB+ for large backtests
  • Storage: NVMe SSD for data and temp files
  • Network: Low-latency connection for live trading

Getting Help

For performance issues:

  1. Check system requirements
  2. Review configuration guide
  3. Profile your specific use case
  4. Ask for help with performance data
  5. Consider hardware upgrades