Tag: Analytics

Wyckoff Analytics – Trading the Crypto Market with the Wyckoff Method


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Cryptocurrencies are among the most speculative opportunities of the last decade. Investing and trading in the crypto space requires discipline and a systematic approach. The Wyckoff Method provides a logical framework for both long term investors and intraday traders.
In these three sessions, Alessio Rutigliano will illustrate how to apply the techniques used by generations of stock and commodities traders to this new emerging asset class. The course will cover multiple strategies for several types of traders, from long-term investors that want to participate in this new market through conventional ETNs, to advanced crypto traders that want to take advantage of the high volatility and momentum of these instruments. The course will include case studies from Bitcoin and Altcoin markets and exercises.

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Geospatial Data Analytics Essential Training


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Released: 09/2024
Duration: 1h 57m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 262 MB
Level: Advanced | Genre: eLearning | Language: English
The amount of spatial data-information tagged to geographic coordinates-is vast, ranging from the GPS logs that mobile phones take to online maps and navigation apps and even going as far as the images recorded by satellites orbiting around Earth. This course aims to connect this widespread type of data to daily practice by giving a comprehensive overview of the geospatial data industry. Join instructor Milan Janosov for a practical, hands-on experience exploring, visualizing, and analyzing geospatial data using several Python-based data science tools.

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Python Data Analytics From Notebooks to Production


Free Download Python Data Analytics From Notebooks to Production
Released 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 58m | Size: 139 MB
Your code needs to run in production, which has its own set of challenges and restrictions. In this course, instructor Miki Tebeka shows you how to convert your research notebook to production ready code. Learn about the needs of production, where notebooks can really help you, and where they might fall short. Explore why you should organize your code and how to write clean API for your modules, as well as how to structure your code with sub modules. Find out why testing your code is important and go over useful techniques and best practices. Plus, dive into dependency management, logging and metrics, performance tuning, securing your code, and more.

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