Indexaco
Description
Indexaco is a multilingual platform for trading forecasts on financial instruments (currencies, stocks, cryptocurrencies), providing traders with the ability to analyze data, make predictions, and execute trading operations based on insights provided. The project involves integration with various third-party services, parsing high-frequency data, visualization of price charts, and trader forecast accuracy statistics.
Project Goal
The project aims to create a fully functional trading platform with the integration of multiple services, ensuring convenience and efficiency for traders, as well as providing high prediction accuracy and reliable interaction with payment systems.
Phases
Phase 1: Requirements Analysis and Planning:
Conducting a detailed analysis of customer requirements.
Defining functional and non-functional requirements for the platform.
Developing a project plan considering development stages and resources.
Phase 2: Frontend Development using Vue.js:
Creating a user interface for visualizing price chart graphs.
Implementing data analysis and forecasting functionality.
Phase 3: Backend Development using Yii2:
Creating APIs for frontend-backend interaction.
Integration with MetaTrader and Telegram for data retrieval and notifications.
Implementing parsing of high-frequency data to ensure data accuracy.
Phase 4: Integration of Payment Systems and Recurrent Payments:
Integrating multiple payment systems for deposits and withdrawals.
Implementing recurrent payments for subscriptions and other services.
Phase 5: CMS Development with SEO Optimization and Multilingual Support:
Developing a custom CMS with SEO and multilingual requirements.
Implementing caching and microdata for performance optimization and search engine visibility.
Phase 6: Databases and Data Storage:
Deploying PostgreSQL, Redis, and ClickHouse databases for storing and processing various types of data.
Phase 7: Implementation of Docker and GitLab Pipelines:
Containerizing the application using Docker for easier deployment and scalability.
Setting up continuous integration and deployment using GitLab Pipelines.
Technologies and Tools
1.Frontend: Vue.js
2.Backend: Yii2, Node.js
3.Databases: PostgreSQL, Redis, ClickHouse
4.Integration: MetaTrader, Telegram
5.Payment Systems: Integration with multiple payment systems
6.CMS: Custom CMS with SEO optimization and multilingual support, caching, microdata
7.Tools: Docker, GitLab Pipelines
The Results
- The project has been successfully implemented, and Indexaco has become a fully-fledged multilingual platform for trading forecasts on financial instruments. The platform integrates with MetaTrader and Telegram, parses high-frequency data, visualizes price charts, and provides accurate forecast statistics for each trader across various financial symbols.
- Integration with payment systems and the presence of recurrent payments ensure convenience and reliability in financial operations. The custom CMS with SEO optimization and multilingual support enhances visibility and accessibility of the platform for users.