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About the Company
We bring together technology, expertise, and capital for stable growth
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GRXTON

A next-generation investment platform built on cutting-edge algorithmic trading and machine learning technologies.

Our team combines expertise in fintech, programming, and data science to give investors access to an intelligent automated trading system.

We created a trading bot capable of real-time:

1. Analyzing market behavior,

2. Identifying optimal entry points,

3. Managing risks using advanced strategies,

4. And executing trades without human intervention.


GRXTON is powered by modern AI models including reinforcement learning, neural network-based prediction algorithms, and high-speed data processing systems.


OUR ROAD MAP

We strive for perpetual development and improvement of our services for the benefit of our valued clients and partners.


A team of experienced specialists makes your earnings simple, perceivable, with minimal risks.
Multiply your available capital right now without taking courses and expensive educational programs. Invest under the guidance of professionals and get a stable residual income.

Platform Principles
GRXTON
Algorithms over emotions — pure logic in every trade
GRXTON eliminates human emotions from trading decisions. The platform is based on mathematical modeling, big data analysis, and proven machine learning algorithms. This ensures consistent and rational trading even in highly volatile markets.
Transparency and full control over every stage of trading
Every action by the trading algorithm is recorded and accessible in a convenient format. Investors see a transparent picture of capital operation — from position opening to closing. An interactive dashboard, advanced metrics, and structured reports provide full control and understanding of the trading process.
A new investment format — technology working for you
GRXTON provides access to professional algorithmic trading without the need to dive into technical details. Investors don’t need to analyze charts, track news, or make decisions — the smart trading bot does it all.
secure
it’s important to understand that
security is not an add-on, it’s the foundation of the platform.
We ensured every component of GRXTON meets the highest protection standards.
The source code is encrypted and obfuscated, preventing analysis, modification, or theft of the platform's internal algorithms.

Comprehensive source code protection against copying and hacking

All investor data is protected with 256-bit encryption and stored in an isolated database. Access is strictly limited and system-controlled.

Secure encryption and storage of user data

secure
Information is transmitted via HTTPS using SSL certificates, eliminating risks of interception or tampering.

Secure data transfer between client and server

The platform uses authorization protection, suspicious activity filtering, and automated attack blocking at all key levels.

Multi-layer internal security architecture

GRXTON Development Stages
Step-by-step platform roadmap — from concept to scalable algorithmic trading
Technology foundation and concept
- Analysis of algorithmic trading models and infrastructure
- Team formation and tech stack selection: Python, Rust, PostgreSQL, Redis
- Exploring reinforcement learning methods for market uncertainty decision-making
- Designing backend and trading engine architecture
Development of core components
- Developing core trading bot modules
- Research and initial implementation of machine learning models: Reinforcement Learning, XGBoost
- Developing a system for collecting and normalizing market data
- Starting design of dashboard and capital distribution system
Algorithms and Infrastructure
- Building strategy foundation: volume spikes, order book density, trendlines, triangle squeeze, false breakouts, and pullback after impulse
- Initial testing on simulators and live environments like Binance, Bybit
- Creating server infrastructure: Docker, cloud environment, microservices
Algorithmic Market Adaptation
- Integrating news analysis: tracking listings, delistings, major exchange events
- Developing event-driven (including fundamental) strategies
- Adding market condition assessment and volatility-based entry logic
- Adding dynamic SL/TP, trailing features, and action logs
Testing and Infrastructure
- Integration with OKX, Gate, BingX, HTX
- Starting live testing with small volumes
- Testing models on low timeframes (1m, 5m, 15m)
Testing and Final Adjustments
- Adding Telegram alerts and internal analytics
- Optimizing UI and order execution logic
- Starting development of user-facing dashboard
- Verifying data storage security
Launch Preparation
- Finalizing interface and investor dashboard
- Closed testing with a limited group
- Preparing marketing campaign
- Final UX testing
Official Launch
- GRXTON public launch
- Launching investment pool and activating trading algorithms
- Working with first wave of investors
- Publishing trading statistics and transparent metrics
Scaling and Ecosystem
Scaling and Ecosystem
- Strengthening internal risk management model
- Updating setups based on accumulated data
- Implementing risk-profiled strategies: conservative, balanced, aggressive
Coming Soon
Investment Automation and Scaling
- Integrating external signal sources and data (incl. AI models and third-party alerts)
- Implementing auto-reallocation of capital based on strategy performance
- Integrating third-party KYC and verification services for large funds
- Starting preparations for global market expansion
Need Help?
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