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Title | Data Footprints | A blog about data analysis and modelling, quantitative finance, programming and |
Description | Posts A blog about data analysis and modelling, quantitative finance, programming and trading. Seeing the world through the lens of |
Keywords | N/A |
WebSite | datafootprints.info |
Host IP | 217.160.0.96 |
Location | Germany |
Site | Rank |
US$488,332
Last updated: 2023-05-12 19:41:27
datafootprints.info has Semrush global rank of 21,674,402. datafootprints.info has an estimated worth of US$ 488,332, based on its estimated Ads revenue. datafootprints.info receives approximately 56,346 unique visitors each day. Its web server is located in Germany, with IP address 217.160.0.96. According to SiteAdvisor, datafootprints.info is safe to visit. |
Purchase/Sale Value | US$488,332 |
Daily Ads Revenue | US$451 |
Monthly Ads Revenue | US$13,524 |
Yearly Ads Revenue | US$162,277 |
Daily Unique Visitors | 3,757 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
datafootprints.info. | A | 3599 | IP: 217.160.0.96 |
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datafootprints.info. | NS | 86400 | NS Record: ns1036.ui-dns.biz. |
datafootprints.info. | NS | 86400 | NS Record: ns1045.ui-dns.com. |
datafootprints.info. | NS | 86400 | NS Record: ns1081.ui-dns.de. |
datafootprints.info. | MX | 3600 | MX Record: 10 mx01.ionos.co.uk. |
datafootprints.info. | MX | 3600 | MX Record: 10 mx00.ionos.co.uk. |
Data Footprints Learning Resources About A blog about data analysis and modelling, quantitative finance, programming and trading. Seeing the world through the lens of data Posts Dec 9, 2021 Python Trading Toolbox: A gentle introduction to backtesting We started this series by introducing some indicators based on price. Our goal is to use indicators, along with price and volume, to make investment decisions: to choose when to buy or sell a financial asset. There are different ways we can incorporate price, volume, and indicators in our investment decision process. The first, the most traditional, is to interpret their patterns in a discretional way, as followers of Technical Analysis do. Indicators can also be employed in a more quantitative approach as building blocks of a trading system that removes human discretion from the investment process. Algorithmic Trading , in particular, is an approach based on trading strategies that take positions in financial instruments on their own |
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