For every solution there must have been a problem. And that is the case of the Bitcurate platform.
If you went through my first post about bitcurate; You would realize that it is short, concise and an introductory words about Bitcurate.
Why Exactly do we need Bitcurate?
I want to assume that as an individual, you are involved in crypto currency one way or the other, i.e either as a bounty hunter, a trader, or an investor. Whichever way you are involved you must use a crypto currency exchange to either buy or sell; and the bad experiences are always the same as below:
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Poorly represented data: We are all aware of the vulnerabilities that comes with coinmarketcap especially when you check the trade charts, and trade volumes, it is either wrong or inconsistent. This misleads alot of traders and investors.
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It is said that as a trader or investor, you must understand market emotions before delving into trades or investments. But when you have incorrect market details; then you have wrong sentiments which definitely leads you to wrong tokens and rekts.
With frustrating reasons above, i bet we all deserve something better, and definitely we have been in search of it; this is why Bitcurate comes to help.
Bitcurate platform is one built on the blockchain technology but employs the Artificial Inteligence functions in Data Science and Machine Learning.
Bitcurate with the bitcurate platform helps investors with a crypto currency predictive data intelligence on digital assets which helps investors make good decisions. Bitcurate collate datas from crypto exchanges, Githubs, social media, crypto currency new outlets, blockchains etc.
How does the Bitcurate platform works ?
The bitcurate platform consists of data science and machine learning, which work hand in hand to provide the most accurate data for the platform users.
The process includes:
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Social Media and News Analysis: Text analysis are gotten from social media news, while CCXT (Open source library) provides financial data on different exchanges. Kafka provides real time datat streaming. The 3 anaylsis work hand in hand to collate datats and process them before it is stored on NoSQL database.
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Sentiment Analysis: This analysis role is to identify and extract opinions from 1 above using the NLP (Natural Language Processing). It helps to understand the emotions of the crypto currency markets before feeding data to the Fairseq models to predict prices.
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Machine Learning Prediction Model: Using Fairseq (Facebook AI Research Sequence-to-Sequence
written in Python), Bitcurate is able to train custom models to translate, model, summarize and fix other text generation and regression task on the bitcurate platform. It also works hand in hand to predict prices on the platform.
Here, the impacts of positive and negative sentiments on a token price is determined and modeled to probability before final price prediction.
Finally no 4: Evolution Strategy: This section of the platform features helps with faster computation of data’s, emotions of the market and extracted opinions.
Infographic Representation of how Bitcurate process work
I want to believe that you duly understand basically, how the bitcurate platform is supposed to work seamless and why you do need it; Do read up below for more updates
Website: https://bitcurate.com/
Whitepaper: https://uploads-ssl.webflow.com/5de4e5ab3719a12992f147b0/5e85b7fdf0055b7c2fac0fd7_Bitcurate%20Whitepaper.pdf
Telegram: https://t.me/bitcuratecommunity
Twitter: https://twitter.com/bitcurate
Author: Ampere
Link: https://bitcointalk.org/index.php?action=profile;u=111907
