System Requirements Document (SRD)

Project Name: hyper-trading

1. Introduction

The hyper-trading project is a modern trading chart analyzer designed to empower traders with advanced tools for analyzing market trends, technical indicators, and predictive insights. This system aims to provide real-time data visualization and analysis to help traders make informed decisions quickly and effectively.

Developed for Harsh Kumar in India, the system will cater to both individual traders managing personal portfolios and professionals in firm settings. The platform will support both desktop and mobile environments to ensure accessibility and flexibility for users.

2. System Overview

The hyper-trading system will serve as a comprehensive trading chart analyzer, offering features such as real-time data feeds, technical indicators, predictive analysis, and customizable charting tools. It will integrate seamlessly with various asset classes, including stocks, cryptocurrencies, and forex, to provide traders with actionable insights.

Key objectives include:

• Delivering fast and accurate market data visualization.
• Supporting multiple asset classes for diverse trading needs.
• Providing predictive analytics powered by AI models.
• Ensuring cross-platform accessibility (desktop and mobile).

The system will leverage cutting-edge technologies such as React for frontend development, Python with FastAPI for backend processing, and MySQL/MariaDB for relational database management.

3. Functional Requirements

As User:

• I should be able to view real-time trading charts for stocks, cryptocurrencies, and forex.
• I should be able to apply technical indicators like RSI, MACD, Bollinger Bands, etc., to charts.
• I should be able to customize chart layouts and save them for future use.
• I should be able to receive predictive analysis based on AI models for market trends.
• I should be able to set alerts for specific price levels or indicator thresholds.

As Admin:

• I should be able to manage user accounts and permissions.
• I should be able to monitor system performance and data feed reliability.
• I should be able to update technical indicators and predictive models.

As Guest:

• I should be able to explore demo charts with limited functionality.
• I should be able to access educational content about trading and technical analysis.

4. User Personas

1. Individual Trader

• Description: A self-directed trader managing a personal portfolio.
• Goals: Analyze market trends, apply technical indicators, and make informed trading decisions.
• Needs: Real-time data, predictive insights, and customizable charting tools.

2. Professional Trader

• Description: A trader working in a firm setting, managing large portfolios or client accounts.
• Goals: Optimize trading strategies using advanced analytics and AI-driven predictions.
• Needs: High-performance tools, multi-asset support, and robust alert systems.

3. Guest User

• Description: A potential user exploring the platform's capabilities.
• Goals: Learn about trading and evaluate the system's features.
• Needs: Access to demo charts and educational resources.

5. Visuals Colors and Theme

Color Palette:

• Background: #1E1E2E (Deep Midnight Blue)
• Surface: #2A2A3F (Slate Gray)
• Text: #EAEAEA (Soft White)
• Accent: #FF6F61 (Vivid Coral)
• Muted Tones: #6C757D (Steel Gray)

Theme:

The theme will emphasize modernity and professionalism, with a sleek, dark mode interface optimized for extended use. The accent color will highlight actionable elements like buttons, alerts, and key data points.

6. Signature Design Concept

Interactive Galaxy Trading Dashboard

The homepage will feature an interactive galaxy map where each star represents a specific asset class (stocks, cryptocurrencies, forex). Users can "zoom in" on stars to explore detailed charts and analytics for that asset class.

Key Features:

• Dynamic Animations: Stars pulsate gently, and constellations form as users hover over them.
• Micro-Interactions: Clicking on a star triggers a smooth zoom-in transition to reveal detailed charts.
• Color Shifts: The galaxy background subtly changes hues based on the time of day (e.g., dawn, dusk, night).
• Predictive Insights: Stars glow brighter for assets with positive predictive trends, offering visual cues for traders.
• Educational Constellations: Certain constellations link to educational content, guiding new traders through technical analysis concepts.

This bold design will make the platform instantly fascinating and memorable, creating a unique identity for hyper-trading.

7. Non-Functional Requirements

• Performance: The system must handle real-time data updates with minimal latency (<1 second).
• Scalability: Support up to 10,000 concurrent users without degradation in performance.
• Security: Implement robust encryption for user data and transactions.
• Availability: Ensure 99.9% uptime with failover mechanisms.
• Localization: Default to Indian timezone (IST) and currency (INR) settings.

8. Tech Stack

Frontend:

• React for Web
• React Native for Mobile

Backend:

• Python
• FastAPI

Database:

• MySQL or MariaDB (preferred for relational data)
• MongoDB (for NoSQL requirements)

AI Models:

• GPT 5.4 for user-friendly responses
• Claude 4.6 Opas for academic or coding work
• Gemini 3.1 Pro for predictive analysis
• Google Nano Banana for image generation

AI Tools:

• Litellm for LLM Routing
• Langchain

Orchestration:

• Docker and docker-compose for local development
• Kubernetes for server-side orchestration

9. Assumptions and Constraints

Assumptions:

• Users will have basic knowledge of trading and technical analysis.
• The system will primarily target the Indian market but remain adaptable for global use.
• Mobile and desktop versions will share a unified codebase for consistency.

Constraints:

• Real-time data feeds depend on third-party APIs, which may have rate limits.
• Predictive analytics accuracy is subject to the quality of historical data.
• Initial deployment will focus on stocks, cryptocurrencies, and forex, with potential expansion to other asset classes later.

10. Glossary

• Technical Indicators: Tools used to analyze price movements and trends in trading. Examples include RSI, MACD, and Bollinger Bands.
• Predictive Analysis: The use of AI models to forecast future market trends based on historical data.
• Real-Time Data Feed: Continuous updates of market data without significant delay.
• Failover Mechanism: A system design that ensures service continuity during hardware or software failures.
• IST: Indian Standard Time, the timezone used in India.