and provide relevant inputs about market events to derivate traders.
Deriguard
- Industry
- Financial services – Analytical engine for processing cryptocurrency prices
- Location
- Office 4, S28 Floor 2, B-dul Pipera 1/I C2, Voluntari, 077191, Romania
- Goals
- There is a need to process cryptocurrency prices using analytics and predefined trading strategies. The resulting signals are supposed to be forwarded to various downstream channels.
- Type
- B2B
System and area breakdown
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Software used
python, gunicorn, tornado, redis, vue, tensorflow, kibana, kafka, linux, api3, graphql.
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Project Resources
1x Solution Architect
2x Developers
1x Consultant
Teaser
Formulating an Artificial Intelligence-based framework to use historical information and provide relevant inputs about market events to derivate traders.
Challenge
When the dealers are dealing in cryptocurrency, they need to adopt various strategies to maximise profits and have a significant RoI. One of the ways was to use the massive volume of data and allow the investors to be notified about the market events and quick events to book more profits.
Solution
The platform helps track any upcoming changes in volatility and helps to calculate the risks and determine the size of a position maintained by the customer. The system uses Neural Networks and Artificial Intelligence to track live data feed and compare it against historical information. The platform recognises the market patterns and advises the customers using in-built risk management and statistics and indicators.
Result
The system helps to provide timely updates about any upcoming shocks in the cryptocurrency market. The users were thankful that they could receive timely updates about upcoming events in the market. Their profitability improved due to timely decision-making and efficiency by almost 15% within the first two months.
We needed a platform that would allow our clients with significant cryptocurrency investments to make informed decisions in the market. We requested the Actinolix team to help us. The team came up with a robust solution based on Artificial Intelligence and mapped the live events with historical information and allow our clients to make informed decisions about their investments.