![]() ![]() ![]() The company monitors social media platforms to capture crypto-related data in real-time. The LunarCrush team also decided on a pay-as-you-go model, starting at $1 per day, to make the API more accessible. The announcement post includes a detailed ‘how to get started section to help developers understand the API. In addition to supporting automation, the LunarCrush team also said that they wanted the new API to be simple and cheap to work with to support flexible and scalable use cases from all market segments. “provide a robust, streamlined delivery system designed to support automation for investing, trading, research and modeling on top of LunarCrush datasets.” Considering its growth rate, the announcement said that the new API aims to: The announcement cited an estimation from Vantage Market Research, saying that the financial automation market is expected to be worth around $19.8 billion by 2028. The company announced the launch of its new API on its official medium account. If I found a website of this name on the internet, I would definitely visit it to improve my cryptocurrency trading experience.Crypto-focused social analytics company LunarCrush launched its new API that collects and organizes social media data on more than 4,000 crypto assets, over 300 NFT collections, and several exchanges, influencers, and LunarCrush user opinions. We bought the domain name get-crypto-insights.online for the best domain name challenge since it is relevant to our project. We want users to have an option to give the website permission to automatically buy and sell cryptocurrencies when it determines it is the best time to do so. We hope to further increase the functionality of our website. Most of this was new to our team members and we definitely learned a lot. We learned how to scrape relevant data from the web, clean it and perform sentimental analysis on it to make predictions about future prices. It was amazing to see when our results matched the past peaks and crashes in bitcoin price. We are really proud that we were able to connect multiple streams of data, analyse them and display all relevant information. Getting relevant data, free of spam and repeated posts, and actually getting useful information out of it was hard. Even though we only needed data from the past few weeks, it was a lot since so many people post online. It was especially hard to create, store and process the large datasets we made consisting of social media posts and news articles. Google Cloud: We used firebase to efficiently store and manage our database, and Google Cloud Natural Language API to perform sentimental analysis on hundreds of social media posts efficiently. NLKT and Google Cloud Natural Language API were especially useful with this. We use chart.js for a lot of our web illustrations, as well as python for web scraping, performing sentimental analysis and text processing. ![]() The website is mostly built using node.js and bootstrap. We also display the current price graphs, social media and news trends (if they are positive, neutral or negative) and the popularity ranking of the selected currency on social platforms. ![]() We then analyse it using NLP and ML and determine whether the price is likely to go up or down in the very near future. Our website scrapes for thousands of social media posts and news articles to get information about the required cryptocurrency. How people think and talk about a cryptocurrency affects it price to a large extent, unlike stocks which also have the support of the market, shareholders and the company itself. Cryptocurrencies are just too volatile, and its value depends too much on how the public feels about it. We have two bitcoin and cryptocurrency enthusiasts on our team, and only of us made money during its peak earlier this month. ![]()
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