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.

Live Market Data

Access real-time price data for supported assets, including live candle formation.

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.

LSTM Networks

A recurrent neural network used as a baseline for learning temporal structure in OHLCV sequences. Supports configurable window size, saved runs, and future prediction.

Explore Markets as a Research Problem

Use data, models, and live conditions to learn how machine learning systems behave in markets.