Backtesting with EODHD Data and Annotation Context

Workflow Breakdown

Backtesting quality drops when trade intent is reconstructed after the fact. You need captured context from when the setup was marked.

Pair EODHD price series with exported annotation records that preserve geometry, note text, and indicator state.

MyLinedChart provides this in JSON/XLSX/CSV so technical and human review can run from the same source.

For eodhd backtesting annotation context, the core improvement is context fidelity, not just larger datasets.

Implementation Focus

• OHLCV alone is not enough for discretionary strategy validation.
• Add annotation exports with anchors, notes, indicator state, and company logos.
• Keep decision metadata aligned with feed data for reproducible tests.

Does EODHD replace a chart annotation export workflow?

No. EODHD provides market data feeds, while annotation exportability requires a separate drawing-data workflow.

Why keep CSV/XLSX annotation records if I already have API data?

Because API bars do not preserve chart intent, notes, or setup rationale needed for review and coaching.

What is the minimum stack?

Use EODHD for market data and a structured annotation export layer for drawing context.