Jumper Stars: Crypto Signals and Cutting-Edge Technology

The cryptocurrency industry continues to evolve at a breakneck pace, and Jumper Stars has positioned itself as one of the most complete and professional solutions on the market. With a fully customized infrastructure, event-driven microservices, advanced AI, and a focus on consulting and outsourcing, Jumper Stars demonstrates the potential of applying innovation to financial markets.

A Project with Envadel DNA

At Envadel, we worked closely with finance and technology specialists to develop Jumper Stars. The objective was clear: create a reliable, scalable, and feature-rich platform for traders looking to stay ahead.

Key Features

• Real-Time Trading Signals: Based on over 100 technical indicators, combining aspects of Fundamental (FA) and Technical Analysis (TA).
• 100% Custom Broker RPC: A tailor-made communication system designed to connect with multiple exchanges and efficiently process orders.
• Microservices Architecture: Every module (authentication, signal management, data storage) operates independently, reducing risks and enhancing scalability.
• Advanced Artificial Intelligence: AI models that continuously learn from market shifts and anticipate price changes.

Detailed Tech Stack

To enable Jumper Stars to handle large volumes of data and deliver real-time insights, we adopted a sophisticated architecture. The diagram below illustrates how the software components interact:

Microservices and Event-Driven Architecture

Each microservice is integrated asynchronously via events, enhancing scalability. For instance, a buy/sell signal can trigger user notifications within seconds—even under high loads.

C++23 Technical Indicator Library

Over 100 technical indicators (RSI, MACD, Bollinger Bands, etc.) have been developed in a proprietary C++23 library. This ensures rapid, efficient execution, reducing latency and enabling critical operations to run without delay.

Time-Series with QuestDB and InfluxDB

To manage the high volumes of market data (candles, tickers, historical orders, etc.), we use QuestDB and InfluxDB in replica mode. This supports both:

• Historical data analysis for backtesting and strategy validation.
• Real-time updates with minimal latency.

AI for Opportunity Detection and Analysis

The AI implemented in Node.js/TypeScript simultaneously processes technical metrics and fundamental factors, supported by Python bots that gather news and social media signals. By combining TA and FA, the system increases the odds of spotting profitable opportunities while minimizing risk.

Management and Support

Jumper Stars not only offers a powerful signal engine but also an intuitive web interface and administration panel. From here, administrators can:

• Configure and update strategies, indicators, and risk parameters.
• Manage users and permissions.
• Audit operations and access performance metrics.

Outsourcing and Consulting

The infrastructure and methodology applied in Jumper Stars serve as a foundation for any project requiring intensive real-time data processing, API financial integrations, and efficient outsourcing models. Our team provides consulting services that include:

1. Requirement Definition: Aligning business objectives with technological architectures.
2. Microservices Design: Creating independent modules for scalable and non-disruptive updates.
3. AI and Big Data: Integrating machine learning algorithms and time-series databases for predictive analytics.
4. DevOps Automation: Implementing CI/CD pipelines, containerization, and orchestrators like Kubernetes for a robust and secure infrastructure.

Impact on the Crypto Market

Many leading cryptocurrency platforms are burdened with unreliable signals and media noise. Jumper Stars tackles these issues head-on by offering tools that:

• Accelerate decision-making: Thanks to real-time alerts and automated trading bots.
• Promote financial responsibility: Through backtesting systems that allow users to verify strategy effectiveness before real investment.
• Scale globally: Leveraging a distributed architecture with optimized microservices and time-series databases, ensuring stable performance across regions.

Use Case: Automated Trading

Imagine a trader wanting to automate a strategy based on RSI combined with a fundamental rule monitoring news headlines. Jumper Stars:

1. Receives real-time data from various exchanges via the Broker RPC layer.
2. Processes technical indicators using a C++23 library.
3. Gets signals from a Python bot that assesses relevant news.
4. Integrates the data in an AI engine built with Node.js/TypeScript.
5. Automatically executes buy or sell orders in seconds without human intervention.

The result is an integrated system that not only automates trading logic but does so in a scalable and reliable manner.

Want to Build a Similar Project?

Jumper Stars is more than just a crypto signal service—it is a professional trading ecosystem powered by top-tier technology. In line with Envadel's philosophy, we have combined the best practices in consulting, outsourcing, and software development to create a product that transforms how traders operate in the cryptocurrency market.

If you are interested in developing a project like Jumper Stars, contact us for a consultation. Let's build the future of trading together!