Fetch Dukascopy tick data and convert it into deterministic OHLCV candles.
npx skills add https://github.com/radiusred/skills --skill tradedesk-dukascopy
Please help me install this Agent Skill. Skill: tradedesk-dukascopy Source: https://github.com/radiusred/skills/tree/main/tradedesk-dukascopy Command: npx skills add https://github.com/radiusred/skills --skill tradedesk-dukascopy
It solves the challenge of obtaining reliable, backtest-ready market data by fetching raw Dukascopy tick data and producing deterministic CSV candles with a provenance metadata file.
Use the tradedesk-dukascopy tool to export a 5-minute candle series for EURUSD from 2025-01-01 to 2025-01-31.
High-intent search queries and answers about installing and using this skill.
To download Dukascopy tick data and convert it to OHLCV candles for backtesting, specify your symbols and date ranges to fetch raw ticks, then aggregate them into deterministic candles across chosen timeframes with CSV exports.
You can export multiple timeframe candles from the same Dukascopy data range by processing the fetched tick data into configurable OHLCV intervals like 1-minute, 5-minute, 1-hour, and 1-day candles.
The Dukascopy data export includes a metadata sidecar that documents parameters and data provenance, ensuring your backtesting pipeline remains fully reproducible across multiple runs.
The best way to backfill missing periods in historical market data exports is re-running the pipeline for the specified date ranges to fetch and convert any absent Dukascopy tick data into complete candle series.
You should probe instruments before fetching Dukascopy market data to determine their specific price format and scaling needs, ensuring your OHLCV candle outputs are scaled correctly for backtesting.
Dukascopy tick data exports are cached within the reproducible pipeline, preventing redundant downloads and accelerating subsequent backtest data generation for overlapping date ranges.
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