Sentiment analysis tools for superior trading decisions

Sentiment analysis tools powered by artificial intelligence and data from 50,000+ sources to uncover early trading signals.

Sentiment Analysis Technology

Massive Data Mining

We process data from 50,000+ news sources, 10+ news aggregators, 4 social media networks, 100+ trading and crypto blogs

Advanced Artificial Intelligence Algorithms (Market Impact Analysis)

Our crypto sentiment analysis tools use high complexity artificial intelligence algorithms to analyse market sentiment and uncover crypto trading signals

Natural Language Processing and Machine Learning

With the help of NLP & ML, CryptoMood’s sentiment analysis tools can accurately analyse text and measure crypto market sentiment

Whale Movements and Tether Emissions

We track the largest crypto wallet movements and significant cash-crypto-cash conversions


Our team has extensive experience in Artificial Intelligence, Natural Language Processing and Sentiment Analysis. We are excited to apply our 10+ years of experience developing FOREX sentiment analysis tools to crypto trading.

Ing. Amir Mamaghani
Founder & Chief Technology Officer

Amir has a Master’s degree in Cybernetics & A.I. He has over 15 years of experience in programming and algorithmic trading.

Ing. Petr Homola, Ph.D.
Chief Research Officer
Phd. in Computational linguistics, very active in research and development of the most sophisticated NLU and NLP algorithms. Worked for Google and Apple.
RNDr. Jiri Materna, Ph.D.
Natural Language Processing & AI expert
Phd. in A.I. and Computational Linguistics, ex-chief of AI research group at Seznam.cz, co-organiser of the largest Czech AI conference Machine Learning Prague.
doc. RNDr. Ales Horak, Ph.D.
Natural Language Processing & AI expert
Head of the Department of Machine Learning and Data Processing at Masaryk University in Brno. Phd. and associate professor (docent) in Informatics.
doc. Mgr. Pavel Rychly, Ph.D.
Natural Language Processing & AI expert
Associate professor at the Department of Machine Learning and Data Processing at Masaryk University in Brno. Phd. and associate professor (docent) in Computer Science.


Turing Technology

Turing Technology is a Czech-based fintech developer. It provides data analysis, artificial intelligence, and machine learning expertise to create custom software solutions for financial institutions and brokerages. CryptoMood is an offshoot of Turing.
See more


Tsar PR is a blockchain and fintech communications agency with experience and passion for the crypto industry. The agency only promotes the best innovations in finance technology and CryptoMood was selected.
See more

FPF Capital s.r.o.

FPF supports significant projects from various fields that relate to modern technology. They chose CryptoMood as one of the most promising investment opportunities on the market.
See more

Latest News


Sentiment analysis is an automated process that decides if a sentence is positive, negative or neutral. It helps to determine the emotion trends that are expressed online.

It is impossible to manually estimate the huge amount of the world’s text data. CryptoMood’s sentiment analysis system does the job through automation

The sentiment index/score is the numerical representation of market sentiment. The score indicates how positive or negative a text is. (The usual system is: -1 for negative, 0 is neutral and +1 is positive.)
Some leading providers of sentiment analysis are:
Hi-Tech BPO
Through a hybrid of approaches that score a sentence or document. The usual algorithmic approaches include:
1. Using vocabulary to look at important keywords (usually verbs and adjectives) along with modifiers like negation words.
2. Using rules. Vocabulary is categorised into chunks using rules to group sentences by parameter.
3. Applying machine learning techniques. A problem is classified and a dataset is amassed. Then features are set up (e.g. keywords).
The system is trained and evolves to identify key data points and improves over time.
To analyse a giant set of data, you need a lot of resources to monitor and rate each data point. This provides the opportunity to better understand historical sentiment trends and to use that analysis to make superior decisions.
VADER is another tool that tells us how positive or negative a text is. It’s a cool name that stands for: Valence Aware Dictionary and sentiment Reasoner. VADER uses Twitter Sentiment Analysis, also known as ‘Opinion Mining’ to analyse conversations, opinions, and viewpoints (all in the form of tweets) to decide business strategy, political analysis, and to assess public actions.
Sentiment data is rated with the help of Natural Language Processing, Artificial Intelligence and machine learning.
We use two different modules: ‘trending’ and ‘live’. ‘Trending’ selects the most important data. ‘Live’ shows all data.
It helps show sentiment when trading crypto by measuring the positivity or negativity of news. If recent news has been bullish and traders are seeing an upward swing, chances are good that the trend will continue.
These are news, portals, media, chat groups, social networks and industry forums. Basically anything in electronic form over the internet that mentions the cryptocurrency markets.
Yes they are named and graphed on our system.
There is no ‘best’. Each has a use in the correct situation.
 lot. E.g. it helps identify a positive or negative mention about a cryptocurrency or company. It is also helps us to detect how a customer reacts to changes.
As part of a university computer science or AI course. Or you can use the CryptoMood platform if you just need real-time crypto market insights.
CryptoMood does that for you so you can concentrate on trading and increase your profit.
– Over 50,000 news and opinion sites 
– 4 major social media networks
– Crypto exchanges 
– Whale wallet tracking 
– Forums and chat groups, and even article commentaries
We have powerful servers that monitor, scrape data and track changes in real-time.
CryptoMood collects and analyses content in English. We are working hard to bring you other major languages from other markets that also impact crypto.
Previous trading experience helps you be a better trader. But you do not need previous trading experience to use CryptoMood.
Previous trading experience helps you be a better trader. But you do not need previous trading experience to use CryptoMood.
Yes, everything is straightforward. Please check the user agreement.
No, this is not possible due to privacy and business concerns.
This solution is available in the CryptoMood business license version.
Your feedback is important to us, so feel free to ask directly over Telegram or Facebook. We currently monitor well over 50,000 sources and this number is growing every day.
Yes, an API is available in the business version.
We are the fastest and most powerful cryptocurrency market analysis tool in the world. CryptoMood is unique, proprietary, and the only solution of its kind currently available to cryptocurrency traders and investors.
We’re a friendly bunch and would love to see you on our Telegram, Facebook or Twitter.
– https://www.facebook.com/CryptoMoodOfficial/
– Telegram @CryptoMoodCom
– Twitter @cryptomood

We use special algorithms that do things like count followers and comments. The AI categorises each source individually and accordingly.

We use all publications, but rate the market impact of each data source and data point individually according to importance, determined by evolving algorithms.

Stay Connected

We help improve your trading decisions with the best crypto news aggregator.

Sentiment analysis tools for superior trading decisions.
CryptoMood a.s.
IČO: 07922698

Milady Horákové 50, 602 00 Brno, Czech republic