Automated system for predicting cryptocurrency market trends

#Custom software development #UI/UX design #Machine Learning Model Development #ML Ops #Web application development services #Dashboards & Analytics #.NET Core #Azure #Entity Framework #MS SQL #React #SASS #ML/AI

Project goals

Development of an automated system for predicting cryptocurrency, stock, and bonds market trends, including but not limited to price, volume, transactions, and significant large-scale movements in the mentioned markets, and executing automated trades to optimize profits.

Result

Help crypto investors to make the most out of their investments.
 

About the client

Eudaimonia specializes in the creation and implementation of robust market forecasting technologies. 

They represent the belief that financial markets are not limited to those who only serve themselves; they are dedicated to excellence and bringing the best out of their employees and products: for that end, in and of itself.

Project goals

The primary goal of the project is to build a web platform to leverege historical cryptocurrency data and machine learning models to generate accurate forecasted data regarding the future performance of market. Project should also empower both administrators and users with an efficient and user-friendly platform.

The admin management functionality encompasses the ability to create and set subscriptions, add and update machine learning models, start forecasting. The system should provide documentation for the API, allowing users to easily integrate the application into their own platforms.

Furthermore, the application has to offer features for users to track their requests, access support, and have the flexibility to choose suitable subscription plans that cater to their specific needs.

Key challenge

1. Market Volatility: Faced with the high volatility inherent in the cryptocurrency, stocks, and bonds markets, our team tailored adaptive models that could swiftly respond to sudden price swings and unexpected events, ensuring reliable predictions amidst rapid market changes.

2. Feature Engineering: The task of developing relevant and informative features from raw market data demanded in-depth research. Through domain expertise and rigorous analysis, we successfully identified and integrated key indicators to accurately capture market trends.

3. Efficient Data Pipelines: Recognizing the need for timely and accurate data processing, our team developed efficient and highly parallelized data pipelines. These pipelines ensured seamless acquisition, processing, and feature engineering on the data, optimizing the speed and reliability of our forecasting tools.

4. Centralized System for Model Testing: We created a robust centralized system tailored for the testing and development of a multitude of Time Series Forecasting models. This system, designed for efficiency and modifiability, supported a wide range of model architectures and input features, streamlining our experimentation and optimization processes.

5. Implement the architecture for all of the components of application.

6. Data quality and reliability: Ensuring the historical cryptocurrency data used to train ML models is accurate and up-to-date.

7. Different forecasting schemas and prediction model types.

Our solutions

We developed a Time Series Forecasting solution for volatile financial markets, utilizing adaptive models and efficient data pipelines. Rigorous feature engineering enhanced prediction accuracy, while a centralized system streamlined the testing of diverse forecasting models.

Web application based on microservices architecture, with logical definition of every service purpose.  Platform empowers admin and user UI, and offers customer API for the future predictions of cryptocurrencies.

The implementation involved the integration of a trusted crypto data source (polygon. API) to upload the historical information, Google Cloud Vertex AI for the deployment and inference of ML Models, and Azure Functions to prepare and post-process the forecasted data.

Result

With Eudaimonia Aurora everyone got an access to a suite of tools designed to help with making the most out of investments.

Our platform allows tracking of the market trends, analyze historical data, and create custom forecasting scenarios to meet paricular needs. Whether you’re looking to diversify your portfolio or maximize your returns, our Crypto Forecasting Software is the solution you’ve been looking for.

Industries

Fintech

Client location

Milwaukee, WI, USA

Technologies

.NET Core

Azure

Entity Framework

MS SQL

React

SASS

ML/AI

Check other case studies

Bitsorchestra
5 5

What our clients say

Bits Orchestra team are outstanding developers​. They listen carefully to our business needs and easily turns our business objectives into a well thought out and executed development effort. Roman is very bright and definitely the most capable developer that has worked on our site. He is not only a Kentico expert but has successfully tackled other complicated development assignments demonstrating expertise in both front and backend development. Roman takes initiative to suggest enhancements that make site maintenance easier while improving the customer experience. The team is very responsive to our work requests and has great follow up. They have also worked very business partners and this has reflected positively on our company. Roman is a true partner for us and a tremendous asset to our organization. We will continue to work with them and would highly recommend Roman and his team for your development needs. He and his team will exceed your expectations!
 Alan Lehmann
Alan Lehmann
President at In energy sector

What our clients say

The Bits Orchestra team does excellent work. They are always available and I appreciate our frequent calls and screen-shares together. Their dedication to the projects and knowledge of Kentico is outstanding. They truly care about the quality of their work, and became a part of our team easily!
Shena Lowe
Shena Lowe
Managing Partner at Consensus Interactive

What our clients say

We hired Roman for a Kentico analysis project and have been very satisfied. He is very skilled and professional. We are looking to hire him and his team again on future projects.
Sylvain Audet
Sylvain Audet
CEO at MyDevPartner.com

What our clients say

Roman and team have taken over an existing Kentico EMS site for a large US Oil Company. So far, they have handled every single request that we have thrown at them and these were diverse, challenging, often bespoke, usually urgent and almost daily, over the last 11 months. Their work is of an extremely high quality, they are capable, quick and we have great confidence in the support that we are getting.
Jon Hollis
Jon Hollis
Head of Web Development at confidential

What our clients say

Bits Orchestra team was very helpful, they had a good understanding of the brief and deep knowledge of the system. They were always keen to provide advice and recommendations that benefit the project substantially.
Ramon Lapenta
Ramon Lapenta
Senior Front End Developer at Cyber-Duck Ltd