Deep Learning / 2026

IDX Intraday Stock Prediction using TCN

A temporal forecasting project using high-dimensional market features, causal TCN blocks, baselines, and calibration.

TCNForecastingPyTorchFeature engineering

01 / Context

This project belongs to the finance and deep learning coordinate of the atlas.

02 / Role

Add your personal responsibilities: feature design, model implementation, validation, and final reporting.

03 / System

Explain the data schema, feature vector, causal sequence setup, TCN blocks, baselines, and calibration stage.

04 / Technical Depth

The interesting part is making a high-dimensional market prediction system behave under noisy near-zero returns.

05 / Product / Research Angle

Use this page to show disciplined evaluation, not trading hype.

06 / Result

Add validation metrics, benchmark comparison, and screenshots/plots when ready.

07 / Reflection

Discuss limitations of financial forecasting and what would make the setup more robust.