TWITTER AND GOOGLE TRENDS INTEREST PRECEDES CRYPTOCURRENCY PRICE, STUDY FINDS

News feeds from various cryptocurrency informational sources.

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gurumaster
Active User
Posts: 159
Joined: Wed May 22, 2019 12:37 pm

Tue Jul 02, 2019 9:56 pm

Bitcoins are sent (or signed over) from one address to another with each user potentially having many, many addresses.
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

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labie
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Posts: 126
Joined: Thu May 23, 2019 5:47 am

Wed Jul 03, 2019 1:22 am

Bitcoin can also be a store of value, some have said it is a "swiss bank account in your pocket".
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
wonshey
Active User
Posts: 130
Joined: Thu May 23, 2019 5:46 am

Wed Jul 03, 2019 11:14 pm

Bitcoin is clearly and without a doubt the future!
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
wonshey
Active User
Posts: 130
Joined: Thu May 23, 2019 5:46 am

Sat Jul 06, 2019 8:25 pm

Bitcoin is free software and any developer can contribute to the project. Everything you need is in the GitHub repository. Please make sure to read and follow the development process described in the README, as well as to provide good quality code and respect all guidelines.
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
wonshey
Active User
Posts: 130
Joined: Thu May 23, 2019 5:46 am

Sat Jul 06, 2019 8:54 pm

Please also consider helping to review other people’s pull requests. You don’t need to be an expert in Bitcoin, the Bitcoin Core codebase, or C++ (although all these things help). There are almost always open pull requests that any programmer can review.
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
wonshey
Active User
Posts: 130
Joined: Thu May 23, 2019 5:46 am

Sat Jul 06, 2019 9:07 pm

The following chatrooms and websites host discussions about Bitcoin development. Please be sure to read their rules of conduct before posting.
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
alayemi
Active User
Posts: 144
Joined: Thu May 23, 2019 5:44 am

Sun Jul 07, 2019 12:56 am

Bitcoin StackExchange is a community dedicated entirely to answering questions about Bitcoin and related technology. Many questions about Bitcoin Core can be found under the Bitcoin-Qt tag
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
alayemi
Active User
Posts: 144
Joined: Thu May 23, 2019 5:44 am

Sun Jul 07, 2019 1:07 am

#bitcoin is the best place to ask general questions about Bitcoin Core.
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
gurumaster
Active User
Posts: 159
Joined: Wed May 22, 2019 12:37 pm

Sun Jul 07, 2019 2:07 am

If you can meet the following requirements, you’ll have an easy-to-use node.
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
wonshey
Active User
Posts: 130
Joined: Thu May 23, 2019 5:46 am

Sun Jul 07, 2019 10:57 am

In order to use Bitcoin Core GUI, you will need several libraries installed. All of them should be available in all major recently-released Linux distributions, but they may not be installed on your computer yet. To determine whether you’re missing any libraries, open a terminal (if you haven’t already) and run the command /usr/local/bin/bitcoin-qt to start Bitcoin Core GUI.
News wrote:
Mon May 06, 2019 5:58 am
The volume of tweets and Google Search Volume Index (SVI) were found to be leading price indicators for Bitcoin and Ethereum, according to a research paper published by the Southern Methodist University.

n the paper, researchers gathered data on Twitter mentioning Bitcoin and Ethereum; the same was done using Google trends. Building on the ideas of previous research, the hypothesis was that the number of tweets and their sentiment (positive and negative) can influence prices. In the study, it was uncovered that the number of tweets and Google searches changes first before prices do.

The role of sentiment in technical or market analysis is to uncover people’s attitudes towards an entire market or individual index (in this case Bitcoin and Ethereum). The theory of sentiment analysis is a branch of technical analysis that states that price discounts everything, and that price trends are ultimately a reflection of crowd psychology.

Therefore, in theory, if you could measure how positive or negative the people’s shared views are towards a particular stock or cryptocurrency, you could estimate its price trajectory.

Although in this particular study, tweet volume, and not sentiment, was found to be a leading factor in the price of cryptocurrencies. The lack of sentiment being the leading factor was theorized due to the amount of “noise” there is on Twitter about the currencies compared to actual conversation.

For instance, the researchers found that there 21 million bots on Twitter posting mostly factual information about prices, advertisements, spam etc. Not humans having real discussions about how they feel about either Bitcoin or Ethereum.

The other issue that researchers found with Twitter was that sentiment was mostly positive in nature — even when the prices of Bitcoin and Ethereum were falling.
People who tweet about cryptocurrencies even when their prices drop have an interest in them beyond investment opportunity making the tweets biased towards positive.
Despite their findings, the researchers did not completely rule out sentiment analysis using different modeling techniques.

\
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