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Nasdaq IXIC and Bitcoin Price Movement Patterns EDA, Cross Correlation

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 Introduction For my personal interest, I've done a quick EDA on the pattern in the relationship between Nasdaq IXIC and Bitcoin price movement. I collected and looked into one minute granularity price change data for the past 30 days. This analysis is a part of my journey to find out whether I can make use of the similar price change movement of Nasdaq IXIC and Bitcoin as my Bitcoin scalping trading strategy. Questions 1. In what condition Nasdaq IXIC and Bitcoin become coupled for a while:          - Does the direction of the price change movement seem to matter for their coupling?          - Does one seem to start 'following' the other's movement when its movement gets too different from the other's?           2. As a part of the answer to the question, which follows which one's price change:     - Is there any sign of a moment one's movement is lagged following the other's movement? Data C...

Are Nasdaq IXIC Index and Bitcoin Price Movement 'coupled'? EDA before a Deep-Dive

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 Introduction Recently, I regularly do a day and scalping trading in Bitcoin(BTC) market. As a newbie investor, I tried to gather useful information that may help me learn more about various investment strategies.  While visiting here and there wandering around to get more information, I found an interesting post in a Bitcoin community site, saying that the BTC price movement is currently 'coupled' with the Nasdaq IXIC index movement. I checked if that is true during my trading that night. Interestingly, BTC price movement in one minute interval did seem roughly same as Nasdaq IXIC index one. I became more interested in this 'coupled' movements because if there really is similarity, I can come up with very nice trading strategies by making use of it. For example, if their relationship is one following the other with a little bit of lag, I can create a python app that does an auto-trading based on that pattern. As a person who loves to play with data, I want to do a thor...

Project 1: SQL, Tableau, Different Usage Patterns, Bike Share Service in Chicago (Google Capstone Project)

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Introduction In 2016, Cyclistic launched a successful bike-share offering. Since then, the program has grown to a fleet of 5,824 bicycles that are geotracked and locked into a network of 692 stations across Chicago. The bikes can be unlocked from one station and returned to any other station in the system anytime. Until now, Cyclistic’s marketing strategy relied on building general awareness and appealing to broad consumer segments. One approach that helped make these things possible was the flexibility of its pricing plans: single-ride passes, full-day passes, and annual memberships. Customers who purchase single-ride or full-day passes are referred to as casual riders. Customers who purchase annual memberships are Cyclistic members. Cyclistic’s finance analysts have concluded that annual members are much more profitable than casual riders Based on that, the stakeholder believes that maximizing the number of annual members will be key to future growth. Rather than creating a mar...