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Sentistocks has predicted a BTC fall on May 13, 2021

In the morning hours of 13 May, a significant drop in the Bitcoin exchange rate was recorded.  The “Sentistocks” tool predicted this decline. Was the drop in the BTC exchange rate expected? A prediction made on 12 May at 15:00 UTC for the avg BTC exchange rate for the next 24 hours (24H prediction) showed that a fall in the

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Sentistocks has predicted a rise in the BTC exchange rate on April 26, 2021

On April 26, between 00:00 and 07:00 UTC, there was a significant increase of 8.6% in the BTC exchange rate. How can BTC price trends be predicted? In the prediction of the BTC price trend, a simple parameter from technical analysis – the moving average determined for the closing price (SMA) – was used as a reference to which the

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Did Sentistocks predict the fall of BTC on April 18, 2021?

On April 18, between 01:00 and 05:00 UTC, there was a significant – nearly 9% – drop in the price of BTC. Was the decline predictable? The 24-hour “Sentistocks” prediction prepared at 15:00 UTC on April 17 predicted a downward trend in the price of BTC. Subsequent predictions in 8- and 4-hour intervals confirmed this trend, even indicating the time

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Bitcoin rate prediction in practice, January 2021

For quite some time now, we have been presenting the results of the trend prediction of the average Bitcoin exchange rate on our Facebook group. The prediction model presented predicts the trend direction for the next 24 hours, and we publish the data as of 15:00 UTC. What are our Bitcoin price predictions? These are the kinds of questions we

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Sentistocks tool in Bitcoin rate prediction

The Sentistocks tool allows predicting the average rate of BTC. It works by finding correlations between changes in the intensity of emotions and changes in the rate of BTC. The measurement of the intensity of emotions is based on the analysis of mentions of BTC published on Twitter and Reddit. Effectiveness of Bitcoin rate prediction The main task of the

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Using emotions in BTC price predictions

For the past year, we have been testing a prediction model for the average price of BTC over a 24-hour time interval. We publish the prediction results daily on facebook on our member group (www.facebook.com/groups/sentistocks). BTC price predictions using Sentistocks tool We use a tool called “Sentistocks” to predict the average price of BTC. It is based on measuring the

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SentiStocks Bitcoin widget – UPDATE

On 28th of August 2020, we announced our cooperation with Coinpaprika.com, where you can find Sentistocks widget for daily Bitcoin trend predictions. As we constantly improve our tool, today we would like to give you a small update about what has changed so far. Significant increase in number of analyzed mentions When we first announced our widget and showed it

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85% of effectiveness in forecasting Bitcoin’s price trends? It’s possible.

Since October 2020 we have been testing prediction models of average BTC price in the time intervals of 8 hours, 4 hours and 1 hour. Today we present the results of prediction effectiveness for the 1 hour model. The tests were conducted in November and December 2020. The measurements of predictions effectiveness were made at 15:00 UTC and covered the

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Emotive analysis as a new tool for more effective prediction of financial instruments

Emotive analysis is a new tool for effective prediction of the financial instruments prices. In this article we present you a case study of how including data from emotive analysis affects the process of forecasting price trends of financial instruments. Emotive analysis. Emotions in everyday life Emotions have one of the most important functions in our lives. It is under

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How do our predictions for the cryptocurrencies are made?

How do our predictions for the cryptocurrencies are made? Below we present a schematic description of the model used in the process of forecasting cryptocurrencies trend, from the stage of data collection, through analysis, to the final results. Cryptocurrency predictions. Data aggregation Behavioral data (textual mentions) Text data (mentions) are continuously collected from the most valuable internet sources such as

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8 basic emotions. Why so many?

8 basic emotions. Why so many? In this read we want you to meet the idea behind the unique solution that we came up with. It works wider than popular sentiment analysis tools used today for monitoring internet activities and more. Why? Instead of measuring sentiment, we focus on emotions. What does the emotion analysis offer that sentiment analysis does

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