Tips on using Sentiment Analytics

In this section we will be adding tips on how to use our various sentiment analytics tools.

• Using Sentiment Rankings

  One way of using sentiment analytics is to first click on Sentiment Rankings in the left menu. In the next step sort by daily sentiment change by clicking on column "Change from previous day" (you can alternatively also sort by weekly change or by change with respect to 7d day average). In the next step of analysis we generally do not look at cryptocurrencies which have market cap lower than 80 million USD. These cryptocurrencies often have number of daily tweets low enough that they are more easily susceptible to manipulation or the statistical significance is too low. Taking this into account in the next step you can open a large number of sentiment charts by pressing CTRL and consecutively clicking on small sentiment charts at the right of the table. We then examine sentiment charts, also click in chart points to get tagclouds and themes discussed and then also check tweets volumes. While of course not every sentiment surge will result in price surge it so far turned out to be interesting data for trading.
  
  For past cases please read section Sentiment Signals at the following link (we occasionally post some of the cases on our blog): Past cases of using sentiment analytics

Tips on using Mentions Analytics

In this section we will be adding tips on how to use our various mentions analytics tools.

• Using Mentions Rankings

  One way of using mentions analytics is to first click on Mentions Rankings in the left menu. In the next step sort by daily tweets volume change by clicking on column "Change from previous day" (you can alternatively also sort by weekly change or by change with respect to 7d day average). In the next step of analysis we generally do not look at cryptocurrencies which have market cap lower than 80 million USD. These cryptocurrencies often have number of daily tweets low enough that they are more easily susceptible to manipulation or the statistical significance is too low. Taking this into account in the next step you can open a large number of tweets volume charts by pressing CTRL and consecutively clicking on small tweets volume charts at the right of the table. We then examine tweets volume charts, also click in chart points to get tagclouds and themes discussed and then also check sentiment. While of course not every tweets volume surge will result in price surge it so far turned out to be interesting data for trading, especially when combined with sentiment and other data.
  
  For past cases please read section Mentions Signals at the following link (we occasionally post some of the cases on our blog): Past cases of using tweets volume analytics

Market Indicators

An important part of cryptocurrency investing is not only selection of individual crpytocurrencies but also dynamic allocation between crypto assets and cash. This is especially true in times of excessive optimism or pessimism on the market. To help with assessing the markets we are constantly developing market indicators for this purpose.

• Market Sentiment Indicator

  Market Sentiment Indicator or MSI is based on sentiment of individual cryptocurrencies, with sentiment determined with machine learning from tweets mentioning the particular cryptocurrency. It is defined as the percentage of 10 largest cryptocurrencies whose sentiment was positive on a given day.

  For introductory information about MSI and past warning signals please read our blog post:

  Introduction to MSI

Portfolio Analytics

BittsAnalytics allows you to enter your portfolio. For your portfolio it then provides you with value analytics, risk management metrics as well as historical simulation. For a quick introduction of features, please see the following themes:

Introduction to historical simulations

Introduction to risk management

For a quick overview of how to enter your portfolio and see the various analytics data about your portfolio please see the following video (from 2:50 to 3:47):

Comparison analytics

In periods of sideways movement in prices or downturns, the relative outperformance or underperformance of one cryptocurrency in comparison to another becomes much more important. In these market regimes but also in bull markets comparison analytics can help in obtaining more value from your investments. For an example of using comparison analytics please read our blog post:

Example of using Comparison Analytics

Tips on using BittsBands

• For past cases please visit the link below and go to section BittsBands Signals (we occasionally post some of the cases on our blog): Past cases of using BittsBands

Tips on using Technical Chart Patterns

• For past cases please visit the link below and go to section Technical Analysis Signals (we occasionally post some of the cases on our blog): Past cases of using Technical Chart Patterns