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New Report: It Takes Two Months to Adjust to New Crypto Trends
Cindicator’s data from 111,000 analysts map collective crypto investment moods
NEW YORK, August 2, 2018 — Cindicator, a tokenized fintech company developing Hybrid Intelligence for effective asset management, today announced the results of a report that summarizes the insights from 111,000 analysts on its platform. Over a 9-month period starting in September 2017 through May 2018, analysts answered questions forecasting the asset prices of Bitcoin (BTC), Ether (ETH), and various altcoins (including EOS, BCH, TRX, ETC, DASH, ZEC, XVG, HSR, QTUM, ZIL, XMR, BNB, IOT, ICX) . The resulting answers approximate changes in the collective moods of crypto investors before, during and after the record peaks in prices for Bitcoin and Ether.
Key findings from Cindicator’s newly-published data include:
In January and February the collective mood was bullish, forecasting growth despite the downtrend;
The mood adjusted only in March, after the overall market cap declined from the January high of $835 bn to below $300 bn in February;
This fits with other asset classes: it takes 60–100 days to adapt to a different long-term trend.
Collective mood was very divided in March, when ETH dropped by more than 50% in USD;
It appears that higher volatility leads to greater mood swings.
The public mood after Consensus 2018 became slightly more pessimistic
. It appears that expectations of a post-Consensus pump were not met. The market was waiting for strong positive news, yet there were none. This already became apparent during the event, when opinions were more divided.
Over 111,000 people from 135+ countries use Cindicator’s mobile (iOS and Android) and web apps to make daily forecasts on a wide range of crypto and traditional assets. These analysts receive points for correct answers and lose points for incorrect answers. At the end of every month, analysts receive rewards in ETH if they have earned at least 1 point.
Analysts’ answers are enhanced by machine learning algorithms and a neural network to create indicators that predict market events with >69% accuracy. These indicators are used by 5,000 traders who hold Cindicator’s CND token. In an experiment, a group of traders generated a
Eth Machine Learning 2015 ,000 analysts from around the world gives a unique view into the mind of the crowd. Since September, the number of data points we generate every month has increased by over 30 times. While this data is useful on its own, the true value is in applying AI to enhance the collective wisdom to create predictive analytics. ”
Cindicator’s Data Scientist Alexander Osipenko said: “Our data is truly unique because it shows the crowd’s expectations. While we see that many are heavily biased, we also keep the track record for every analyst and apply different machine learning models to predict the probability of each forecast being correct. We now have over 20 different ML models and a fully-functioning neural network and the accuracy continues to increase with additional data.”
Cindicator is a fintech company that has been developing its Hybrid Intelligence platform since 2015. This platform is used daily by 111 Eth Machine Learning 2015 ,000+ highly motivated decentralized analysts. Their forecasts on crypto and traditional markets are collected and enhanced with a set of machine-learning models and neural networks. As a result of this symbiosis of humans and AI, Cindicator creates valuable trading indicators, predictive analytics and sentiments that improve investment decision-making amid high uncertainty for traders and investors.
In September 2017, Cindicator’s token sale attracted $500 million in applications from which the team selected 4,507 contributors, raising $15 million and creating the most supportive and active community possible.
To learn more about the Cindicator Symbiotic Network, please visit:
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