project-d682d9c6

byAkhil Varma

You are the Chief Software Architect, Principal Flutter Engineer, Senior Python Backend Engineer, Quantitative Trading System Developer, AI Systems Engineer, Product Designer, DevOps Engineer, and QA Lead working together as one elite engineering team. Your mission is NOT to build a simple trading app. Your mission is to build TradeMaster AI, a world-class AI-powered professional multi-asset trading platform with institutional-grade architecture, beautiful UI/UX, modular design, and production-quality code. Think like engineers from Bloomberg Terminal, TradingView, QuantConnect, MetaTrader, NinjaTrader, and professional hedge funds. Never generate quick or temporary code. Everything must be production-ready, scalable, maintainable, modular, documented, and optimized. ---------------------------------------------------- PROJECT VISION ---------------------------------------------------- TradeMaster AI is a universal trading operating system. It must support: • Crypto • Forex • Stocks • Commodities • Indices • Futures (future expansion) • ETFs (future expansion) The architecture must never depend on one market. Everything should be modular. ---------------------------------------------------- CORE PRINCIPLES ---------------------------------------------------- 1. Modular Architecture 2. Clean Code 3. SOLID Principles 4. Clean Architecture 5. Feature-based Structure 6. Scalable 7. Maintainable 8. High Performance 9. Beautiful UI 10. Explainable Decisions 11. Risk First 12. Mobile First 13. Secure 14. Testable 15. Extensible Never violate these principles. ---------------------------------------------------- TECH STACK ---------------------------------------------------- Frontend Flutter Backend Python Database PostgreSQL Cache Redis WebSocket Live Market Data REST API TradingView Integration Pine Script AI Layer Paper Trading Broker API Integration Cloud Ready ---------------------------------------------------- APPLICATION MODULES ---------------------------------------------------- Dashboard Markets Charts Portfolio Orders Watchlist Scanner Journal Analytics Risk Center Paper Trading Backtesting News Economic Calendar Alerts AI Assistant Notifications Profile Settings Learning Center ---------------------------------------------------- DATA ENGINE ---------------------------------------------------- Build a universal data engine. Must support: Live Market Data Historical Data Order Book Trade Stream Multi-Timeframe News Economic Calendar Market Sessions Symbol Management Market Metadata ---------------------------------------------------- MARKET INTELLIGENCE ENGINE ---------------------------------------------------- Do NOT build a simple indicator engine. Build a complete market intelligence engine. Include: Market Structure BOS CHOCH MSS CISD Internal Structure External Structure Swing Points Liquidity Engine Liquidity Sweeps Liquidity Pools Equal Highs Equal Lows Inducement Smart Money Concepts Order Blocks Breaker Blocks Mitigation Blocks FVG Inverse FVG Balanced Price Range OTE Premium Discount ICT Concepts Kill Zones Judas Swing Power of Three AMD HTF Delivery SMT Divergence Dealing Range Price Action Trendlines Channels Support Resistance Breakout Retest Candlestick Patterns Chart Patterns Volume Analysis VWAP Volume Profile Delta (future) CVD (future) Order Flow (future) Indicators EMA SMA RSI MACD ATR ADX Supertrend Ichimoku Bollinger Bands Stochastic Keltner Donchian Multi-Timeframe Analysis Weekly Daily 4H 1H 15m 5m The Market Intelligence Engine should produce structured analysis instead of simply saying BUY or SELL. ---------------------------------------------------- STRATEGY ENGINE ---------------------------------------------------- The system must support unlimited strategies. Strategies must be plugins. Examples: Trend Following Swing Trading Scalping ICT SMC Liquidity Sweep IFVG HTF Delivery Breakout Pullback Mean Reversion Custom Strategies Each strategy should define: Entry Rules Exit Rules Risk Rules Filters Timeframes Market Conditions Expected RR Performance ---------------------------------------------------- DECISION INTELLIGENCE ENGINE ---------------------------------------------------- Never allow AI to randomly decide trades. Decision Flow: Signal Collector ↓ Market Context ↓ Confluence Engine ↓ Strategy Selector ↓ Probability Engine ↓ Confidence Engine ↓ Risk Validation ↓ Trade Validation ↓ Trade Planner ↓ Execution Decision Possible Results: BUY SELL WAIT NO TRADE Every decision must be explainable. ---------------------------------------------------- RISK ENGINE ---------------------------------------------------- Institutional Risk Management Position Size Portfolio Exposure Correlation Daily Loss Weekly Loss Monthly Loss Maximum Drawdown Risk Per Trade Trailing Stop Break-even Partial TP Dynamic TP Dynamic SL ---------------------------------------------------- EXECUTION ENGINE ---------------------------------------------------- Paper Trading Broker APIs Order Routing Position Management Order Management Trade Management Execution Logs ---------------------------------------------------- AI ASSISTANT ---------------------------------------------------- AI is NOT the trading decision maker. AI should: Explain trades Explain strategies Explain market structure Summarize journals Answer trading questions Teach trading Improve learning ---------------------------------------------------- ANALYTICS ENGINE ---------------------------------------------------- Trade Journal Reports Win Rate Profit Factor Sharpe Ratio Sortino Expectancy Drawdown Heatmap Portfolio Analytics Strategy Comparison Trade Replay ---------------------------------------------------- USER EXPERIENCE ---------------------------------------------------- The UI should feel like: Apple TradingView Bloomberg Linear Stripe Minimal Fast Professional Elegant Smooth animations Consistent spacing No clutter No unnecessary pages One-tap navigation Progressive disclosure Dark theme first ---------------------------------------------------- DESIGN PRINCIPLES ---------------------------------------------------- Professional Minimal Institutional Glass effects where appropriate Beautiful typography Modern cards Fluid animations Premium feeling ---------------------------------------------------- CODING RULES ---------------------------------------------------- Never write messy code. Never duplicate logic. Always separate responsibilities. Always document code. Always optimize. Always test. Always explain architecture before implementation. Always build reusable components. ---------------------------------------------------- WORKFLOW ---------------------------------------------------- Before writing code: 1. Explain the architecture. 2. Explain the design decision. 3. Explain why this approach is better. 4. Implement production-ready code. 5. Review the code. 6. Suggest improvements. Never rush implementation. Think like a software architect building software that should still be maintainable and extensible ten years from now. TradeMaster AI should become a professional trading platform—not just another trading app.

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System Requirements

System Requirement Document
Page 1 of 6

project-d682d9c6

Introduction

The purpose of this System Requirements Document (SRD) is to outline the requirements for the development of TradeMaster AI, a world-class AI-powered professional multi-asset trading platform. This platform is designed to provide institutional-grade architecture, a beautiful UI/UX, modular design, and production-quality code. The project aims to support a wide range of trading assets, including crypto, forex, stocks, commodities, indices, and future expansions for futures and ETFs.

System Overview

TradeMaster AI is envisioned as a universal trading operating system that supports multiple asset classes. The architecture is designed to be modular, scalable, and maintainable, ensuring that the platform can adapt to future needs without being dependent on any single market. The system will incorporate advanced market intelligence and decision intelligence engines to provide structured analysis and explainable trading decisions.

Page 2 of 6

Source Content Inventory

  • Frontend: Flutter
  • Backend: Python
  • Database: PostgreSQL
  • Cache: Redis
  • WebSocket: Live Market Data
  • REST API
  • TradingView Integration
  • Pine Script
  • AI Layer
  • Paper Trading
  • Broker API Integration
  • Cloud Ready

Functional Requirements as Story Points

  • As a Trader, I should be able to trade multiple asset classes including crypto, forex, stocks, and commodities.
  • As a Trader, I should be able to view and analyze live market data and historical data.
  • As a Trader, I should be able to use a universal data engine for market sessions, symbol management, and market metadata.
  • As a Trader, I should be able to access a comprehensive market intelligence engine with advanced analysis capabilities.
  • As a Trader, I should be able to create and manage unlimited trading strategies as plugins.
  • As a Trader, I should be able to receive explainable trading decisions from the decision intelligence engine.
  • As a Trader, I should be able to manage risk with institutional-grade risk management tools.
  • As a Trader, I should be able to execute trades via paper trading and broker APIs.
  • As a User, I should be able to interact with an AI Assistant for trade explanations and learning.
  • As a User, I should be able to access analytics for trade journals, reports, and portfolio analysis.
  • As a User, I should be able to navigate a professional-grade UI/UX with smooth animations and a dark theme.
Page 3 of 6

User Personas

  • Trader: Engages in trading activities across multiple asset classes and utilizes advanced market intelligence and decision-making tools.
  • User: Utilizes the platform for learning, analytics, and interacting with the AI Assistant for improved trading knowledge.

Core User Flows

  • Trader logs in -> accesses dashboard -> selects asset class -> views live market data -> analyzes with market intelligence engine -> creates strategy -> executes trade -> reviews analytics.
  • User logs in -> accesses learning center -> interacts with AI Assistant -> reviews trade journal -> analyzes portfolio performance.

Visuals Colors and Theme

  • primary: #1A73E8 (deep blue)
  • primary_light: #4D90FE (light blue)
  • secondary: #FF6F61 (coral)
  • accent: #FFD700 (gold)
  • highlight: #FFA500 (orange)
  • bg: #121212 (dark background)
  • surface: rgba(18, 18, 18, 0.8)
  • text: #FFFFFF (white)
  • text_muted: #B0B0B0 (light gray)
  • border: rgba(255, 255, 255, 0.2)
Page 4 of 6

Signature Design Concept

The homepage of TradeMaster AI will feature an interactive galaxy map where each star represents a different feature or section of the platform. Users can click on a star to open a task card, drag to rotate the cluster, and hover to highlight connections. This concept will be implemented using @react-three/fiber and @react-three/drei for a 3D experience. The galaxy map will provide an engaging and intuitive way for users to explore the platform's capabilities.

Landing Hero Motion Brief

The landing hero will feature a dynamic 2D composition built with motion/react and CSS. The animation will depict a trading desk where data streams from various asset classes converge into a central AI processor, transforming into actionable insights displayed on a digital dashboard. The loop will last 10 seconds, showing the transformation from raw data to strategic decisions, with interactive elements allowing users to explore different data streams.

Interaction Model & Motion Direction

  • Intended Interaction Model: Parallax
  • The landing page will feature layered depth via scroll, with decorative elements translating at different speeds to create a visually rich first impression. Real content will scroll naturally, enhancing the storytelling aspect of the platform.
Page 5 of 6

Non-Functional Requirements

  • The system must be scalable to handle a large number of concurrent users and data streams.
  • The architecture should be modular to allow easy integration of new features and asset classes.
  • The platform must maintain high performance and low latency for real-time trading.
  • Security measures must be in place to protect user data and transactions.

Tech Stack

  • Frontend: Flutter
  • Backend: Python
  • Database: PostgreSQL
  • Cache: Redis
  • WebSocket: Live Market Data
  • REST API
  • TradingView Integration
  • Pine Script
  • AI Layer
  • Paper Trading
  • Broker API Integration
  • Cloud Ready

Assumptions and Constraints

  • The platform will initially support crypto, forex, stocks, and commodities, with future expansions for futures and ETFs.
  • The system will be designed to operate in a cloud environment for scalability and reliability.
  • The UI/UX will prioritize a dark theme and professional appearance.
Page 6 of 6

Glossary

  • AI Assistant: A feature that provides explanations and learning support for trading activities.
  • Market Intelligence Engine: A comprehensive analysis tool that provides structured insights into market conditions.
  • Decision Intelligence Engine: A system that processes market signals and strategies to make explainable trading decisions.
  • Risk Engine: Tools and features that manage trading risks and portfolio exposure.
  • Execution Engine: The component responsible for executing trades and managing orders.
Login design preview
Login: Sign In
Dashboard: View Overview
Markets: Select Asset Class
Watchlist: Add Symbols
Charts: View Live Data
Charts: Analyze Market Structure
Scanner: Create Strategy
Backtesting: Test Strategy
Risk Center: Validate Risk
Orders: Execute Trade
Paper Trading: Simulate Trade
Portfolio: View Positions
Analytics: Review Performance
Journal: Log Trade
Alerts: Set Alert
Login design preview
Login: Sign In
Dashboard: View Overview
Markets: Select Asset Class
Watchlist: Add Symbols
Charts: View Live Data
Charts: Analyze Market Structure
Scanner: Create Strategy
Backtesting: Test Strategy
Risk Center: Validate Risk
Orders: Execute Trade
Paper Trading: Simulate Trade
Portfolio: View Positions
Analytics: Review Performance
Journal: Log Trade
Alerts: Set Alert