Smarter Optimization
Days of Hyperopt Compute.
Or Minutes on Our Cloud.
Freqtrade hyperopt evaluates thousands of parameter combinations on your local machine — taking days and requiring advanced loss function knowledge. cryptorobot.ai parallelizes it on HPC.
The Problem
What You Deal With Today
Days of Compute
Running 5,000+ epochs across multiple pairs can take 2-5 days on a single machine. Most users give up early.
Custom Loss Functions
Writing effective hyperopt loss functions requires understanding of Sharpe ratio, profit factor, and Python optimization libraries.
Overfitting Risk
Without proper train/test splits and walk-forward validation, hyperopt results look great in backtests but fail live.
Side-by-Side
Feature Comparison
| Capability | Freqtrade | cryptorobot.ai |
|---|---|---|
| 5,000 epochs runtime | 2-5 days | Under 30 minutes |
| Loss function setup | Write custom Python class | Pre-built, select from UI |
| Overfitting protection | Manual train/test split | Automatic walk-forward validation |
| Results ranking | CLI table output | Interactive ranked dashboard |
FAQ
Frequently Asked Questions
What is Freqtrade hyperopt?
Hyperopt is the Freqtrade parameter optimization tool. It tests thousands of buy/sell/ROI/stoploss combinations to find the best-performing settings.
Why is Freqtrade hyperopt so slow?
It runs sequentially on your local CPU. Each epoch requires a full backtest. cryptorobot.ai parallelizes this across HPC nodes.
Explore More
Other Freqtrade Comparisons
Optimize in Minutes, Not Days.
Parallel HPC hyperopt with built-in overfitting protection. No Python required.