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10 years of Dukascopy Forex Tick Data (2008-2019)
- academictorrents.com
bittorrentUpdated Feb 21, 2021
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EmailClick to copy linkLink copiedCiteJustin Timperio (2021). 10 years of Dukascopy Forex Tick Data (2008-2019) [Dataset]. https://academictorrents.com/details/8baee145786f4311b66bea5d13ef30eedce04a24bittorrent(65032104495)Available download formatsDataset updatedFeb 21, 2021Dataset authored and provided byJustin TimperioLicensehttps://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
DescriptionData collected and formatted by Justin Timperio: "In my exploration of world of big data and I became curious about tick data. Tick data is extremely granular and provides a great challenge for those looking to work on their optimization skills due to its size. Unfortunately, market data is almost always behind a pay wall or de-sampled to the point of uselessness. After discovering the Dukascopy api, I knew I wanted to make this data available for all in a more accessible format." Total Line Count: 8,495,770,706 Total Data Points: 33,983,082,824 Total Decompressed Size: 501 GB
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julija.dobrovolska@dukascopy.com - Reverse Whois Lookup
- whoisdatacenter.com
csvShareFacebookTwitterEmailClick to copy linkLink copiedCiteAllHeart Web Inc, julija.dobrovolska@dukascopy.com - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/email/julija.dobrovolska@dukascopy.com/csvAvailable download formatsDataset authored and provided byAllHeart Web IncLicensehttps://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Time period coveredMar 15, 1985 - Aug 27, 2025DescriptionExplore historical ownership and registration records by performing a reverse Whois lookup for the email address julija.dobrovolska@dukascopy.com..
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FacebookTwitterEmailhttps://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified
Data collected and formatted by Justin Timperio: "In my exploration of world of big data and I became curious about tick data. Tick data is extremely granular and provides a great challenge for those looking to work on their optimization skills due to its size. Unfortunately, market data is almost always behind a pay wall or de-sampled to the point of uselessness. After discovering the Dukascopy api, I knew I wanted to make this data available for all in a more accessible format." Total Line Count: 8,495,770,706 Total Data Points: 33,983,082,824 Total Decompressed Size: 501 GB