For over a decade, one name has stood out among retail and institutional traders as the gold standard for archival tick data: .
In the world of algorithmic trading, backtesting, and quantitative analysis, the quality of your output is directly proportional to the quality of your input. If your historical price data is full of gaps, errors, or "bad ticks," your trading strategy is built on a foundation of sand. dukascopy historical data
You don't always need ticks. Resample to your desired timeframe. For over a decade, one name has stood
For tick data, each row represents a single bid/ask tick or trade. For over a decade
For over a decade, one name has stood out among retail and institutional traders as the gold standard for archival tick data: .
In the world of algorithmic trading, backtesting, and quantitative analysis, the quality of your output is directly proportional to the quality of your input. If your historical price data is full of gaps, errors, or "bad ticks," your trading strategy is built on a foundation of sand.
You don't always need ticks. Resample to your desired timeframe.
For tick data, each row represents a single bid/ask tick or trade.