Technical-indicator evaluation workbench

A repeatable multi-fold evaluation and dashboard system for technical signals on US minute bars.

PythonpandasNumPyStreamlitParquetFactor evaluation

Built systemRank 10 of 12 in this field ↗

Why it sits here. Placed by the scope of implementation, the available contribution evidence, and the distinct technical capability it demonstrates.

06 / Two sides. One uncertain future.STUDY IN SPACE

01 / IMPLEMENTATION & CONTRIBUTION

What the work involves

Local implementations define a common indicator contract and connect discovery, isolated evaluation, failure replay, checkpointing, and serving.

Technical depth

Fold coverage planning, deterministic sample selection, indicator isolation, timeouts, failure replay, rank-information coefficients, cross-fold aggregation and checkpointed execution.

The project family

indicator_test

02 / RESULTS

What came out of it

An evaluator, API, and Streamlit workbench organize a documented library of 100 TradingView-derived indicators across repeatable folds and aggregated metrics.

03 / SUPPORTING EVIDENCE

Follow the source

Implementation notes, project records, and supporting artifacts.

Source context & project scope

README.md

Universal scalar indicator contract and multi-fold evaluation interface.

SOURCE · 2026-09-17

evaluate.py

Fold planning, timeout handling, failure replay, IC computation and aggregation functions inspected via AST.