project-349dd82e

Introduction

The purpose of this System Requirements Document (SRD) is to outline the specifications and requirements for project-349dd82e. This project aims to develop an application that provides a 30x leverage trading capability, focusing on real-time market data analysis to predict market movements and execute trades accordingly. The application will also include a planning feature as requested by the API supervisor.

System Overview

Project-349dd82e is designed to offer users the ability to engage in leveraged trading by analyzing real-time market data. The system will identify market trends and execute trades based on a $300 movement threshold, with stop-loss mechanisms in place. The application will utilize advanced algorithms to determine market direction and execute trades with precision.

Functional Requirements as Story Points

• As a Trader, I should be able to access real-time market data to make informed trading decisions.
• As a Trader, I should be able to execute trades with a 30x leverage based on market direction.
• As a Trader, I should be able to set a stop-loss below the first support or above the first resistance.
• As a Trader, I should be able to plan trades using the integrated planning feature.
• As a System, I should be able to analyze market data to predict a $300 movement up or down.
• As a System, I should be able to provide alerts when market conditions meet the trading criteria.

User Personas

• Trader: A user who engages in leveraged trading, utilizing the application's features to maximize profits and minimize risks.

Core User Flows

1. Trader accesses the application -> logs in -> views real-time market data -> analyzes trends -> sets trade parameters (leverage, stop-loss) -> executes trade -> monitors trade performance.
2. Trader uses planning feature -> inputs trade strategy -> system provides analysis and recommendations -> trader adjusts strategy based on feedback -> executes planned trade.

Visuals Colors and Theme

• primary: #1A73E8 (a deep blue for trust and professionalism)
• primary_light: #4A90E2 (a lighter blue for hover states)
• secondary: #F45D22 (a vibrant orange for emphasis and alerts)
• accent: #34A853 (a green for CTAs and active states)
• highlight: #FBBC05 (a warm gold for notifications)
• bg: #FFFFFF (a clean white background)
• surface: rgba(255, 255, 255, 0.8) (a semi-transparent white for panels)
• text: #202124 (a dark gray for primary text)
• text_muted: #5F6368 (a lighter gray for secondary text)
• border: rgba(0, 0, 0, 0.1) (a subtle gray for borders)

Signature Design Concept

The homepage of project-349dd82e will feature an interactive "Market Wave" concept. Users will see a dynamic, animated graph representing real-time market trends. As users hover over different sections of the graph, detailed insights and potential trade opportunities will pop up. The graph will be interactive, allowing users to zoom in on specific timeframes and market movements. This feature will be built using framer-motion for smooth animations and d3 for data visualization, providing an engaging and informative experience.

Interaction Model & Motion Direction

The intended interaction model for the landing page is "parallax". The page will feature layered depth effects with market data visualizations moving at different speeds as the user scrolls. This will create an immersive experience, drawing users into the data-driven narrative of the application. Internal pages will adopt a "static" model for clarity and ease of use.

Non-Functional Requirements

• The system must handle high-frequency data updates with minimal latency.
• The application should be accessible 24/7 with 99.9% uptime.
• The user interface must be responsive and compatible with various devices and screen sizes.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: GPT 5.4 for user-friendly responses
• AI Tools: Litellm for LLM Routing
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The application will primarily target users in Australia, considering local trading regulations and market conditions.
• The system will integrate with existing market data providers for real-time updates.
• The planning feature will rely on predefined algorithms and user inputs to generate trade strategies.

Glossary

• Leverage: The use of borrowed funds to increase the potential return on investment.
• Stop-loss: An order placed to sell a security when it reaches a certain price to limit losses.
• Market Data: Information about the trading activity of financial instruments.

This document outlines the requirements and specifications for project-349dd82e, ensuring a comprehensive understanding of the project's goals and functionalities.