Train models. Review results. Predict the next move.
EvalRun turns live market data into a repeatable ML workflow
with saved models, metrics, and future price forecasts.
Step 1
Train on history
Configure window and timeframe, then save the run.
Step 2
Compare outcomes
Track RMSE, MAE, MAPE, and sample charts.
Step 3
Predict forward
Run a saved model for 10-20 step forecasts.
Read momentum before it prints.
Use EvalRun forecasts to spot probable swing zones, then compare outcomes against live candles as they form.
Model Research
Review documentation, configurations, and test outputs for each model.
Technical Analysis
View indicators for context while you train and compare model outputs.
Neural Networks
Train LSTM models, store artifacts, and forecast future price movements.
Model Research
EvalRun currently provides one baseline model for time-series analysis. Additional model families are planned and will be introduced as they are validated.