quantdesk

byneeraj pawar

want to make a Fully AI driven advanced institutional grade scalping trading platform for Indian stock markets covering all nse bse listed stocks and indices with complete future and option chain analysis with the help of AI agents, live data feeds from any Free realtime data source legal or illegal,many freebies available for Indian stock markets,use GitHub many free api keys available here, take a look at streetwhacks.com,dayswingtrader.com stage2stocks.com,market-pulse.in,I want a combination of all features of this sites in my platform

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System Requirements

System Requirement Document
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System Requirements Document for quantdesk

1. Introduction

Quantdesk is a fully AI-driven, advanced institutional-grade scalping trading platform designed for the Indian stock markets. It covers all NSE and BSE listed stocks and indices, providing comprehensive futures and options chain analysis. The platform leverages AI agents and integrates live data feeds from free real-time data sources. It combines features inspired by streetwhacks.com, dayswingtrader.com, stage2stocks.com, and market-pulse.in to deliver a sophisticated trading experience.

2. System Overview

Quantdesk is designed to serve traders in the Indian stock market by providing AI-assisted scalping and futures/options analysis. The platform integrates multiple features from reference sites to offer a comprehensive trading tool. It includes live data feeds, AI analytics, and a variety of trading workspaces. The platform ensures compliance with legal data sourcing and provides a secure environment for traders to analyze and execute trades.

2a. Product Interpretation and Delivery Boundary

Quantdesk is a custom UI platform with app-owned identity, requiring traders to enroll and verify their identity before accessing protected workspaces. It operates within the legal boundaries of data sourcing and combines features from reference sites without treating them as authoritative requirements. The platform is focused on the Indian stock markets, covering all NSE and BSE listed stocks and indices.

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2b. Source Content Inventory

Not applicable as no content source directive was provided.

2c. Page Content and Component Coverage

Landing

  • Information/State: Introduction to the platform, its AI-driven capabilities, and target audience.
  • Primary Actions: Explore features, learn about AI capabilities.
  • Supporting Actions: Navigate to Sign Up or Login.
  • Components: Hero section with macro imagery, feature highlights.

Sign Up

  • Information/State: Enrollment form for new traders.
  • Primary Actions: Submit registration details.
  • Supporting Actions: Navigate to Login.
  • Components: Form fields for personal information, submit button.

Login

  • Information/State: Verification form for returning traders.
  • Primary Actions: Submit login credentials.
  • Supporting Actions: Navigate to Sign Up.
  • Components: Username and password fields, login button.
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Dashboard

  • Information/State: Overview of market activity and trader's workspace.
  • Primary Actions: Access detailed analysis workspaces.
  • Supporting Actions: View alerts and notifications.
  • Components: Summary panels, navigation links to workspaces.

Markets

  • Information/State: Live data for NSE and BSE stocks and indices.
  • Primary Actions: Analyze market trends.
  • Supporting Actions: Add to watchlist, set alerts.
  • Components: Data tables, trend charts, filter options.

Scalping

  • Information/State: Scalping analysis tools and data.
  • Primary Actions: Execute scalping strategies.
  • Supporting Actions: Review past trades, adjust strategies.
  • Components: Scalping tools, performance metrics, strategy inputs.

Options Chain

  • Information/State: Futures and options chain data.
  • Primary Actions: Analyze options strategies.
  • Supporting Actions: Compare different options, set alerts.
  • Components: Options tables, heatmaps, strategy comparison tools.
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AI Insights

  • Information/State: AI-driven analysis and recommendations.
  • Primary Actions: Review AI insights, apply to trading decisions.
  • Supporting Actions: Customize AI parameters, view historical insights.
  • Components: AI analytics dashboard, insight cards, customization options.

Trade Desk

  • Information/State: Decision-support tools for trading.
  • Primary Actions: Execute trades based on analysis.
  • Supporting Actions: Review trade history, adjust portfolio.
  • Components: Trade execution interface, portfolio overview, trade history.

3. Functional Requirements

  • As a Trader, I should be able to enroll and verify my identity to access the platform's protected workspaces. (required_inference)
  • As a Trader, I should be able to view live market data for all NSE and BSE listed stocks and indices. (explicit)
  • As a Trader, I should be able to perform futures and options chain analysis with AI assistance. (explicit)
  • As a Trader, I should be able to execute scalping strategies using AI-driven insights. (explicit)
  • As a Trader, I should be able to receive real-time alerts and notifications based on market conditions. (explicit)
  • As a Trader, I should be able to customize my trading workspace and watchlists. (explicit)

4. User Personas

  • Trader: The primary user of the platform, responsible for reviewing market data, analyzing opportunities, and making trading decisions. The Trader interacts with all platform features, including enrollment, data analysis, and trade execution.

5. Core User Flows

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Trader Enrollment and Access

  1. Trader visits the Landing page and navigates to Sign Up.
  2. Trader completes the enrollment form and submits it.
  3. Trader receives confirmation and navigates to Login.
  4. Trader enters login credentials and accesses the Dashboard.

Market Data Analysis

  1. Trader accesses the Markets workspace from the Dashboard.
  2. Trader views live data for NSE and BSE stocks and indices.
  3. Trader applies filters and sets alerts for specific stocks.

Scalping Strategy Execution

  1. Trader navigates to the Scalping workspace.
  2. Trader reviews AI-driven insights and executes scalping strategies.
  3. Trader monitors performance metrics and adjusts strategies as needed.

Options Chain Analysis

  1. Trader accesses the Options Chain workspace.
  2. Trader analyzes futures and options data with AI assistance.
  3. Trader compares different options strategies and sets alerts.

AI Insights Utilization

  1. Trader enters the AI Insights workspace.
  2. Trader reviews AI-generated recommendations and applies them to trading decisions.
  3. Trader customizes AI parameters for personalized insights.
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Trade Execution

  1. Trader navigates to the Trade Desk.
  2. Trader executes trades based on analysis and AI insights.
  3. Trader reviews trade history and adjusts the portfolio as necessary.

6. Visuals Colors and Theme

  • Muse: MARQ by Garmin
  • Palette:
    • Background: #2B2B2B
    • Surface: #1C1C1C
    • Text: #FFFFFF
    • Primary: #00A2E8
    • Accent: #FFC107
    • Muted: #757575
  • Typography:
    • Headings: Barlow Condensed, bold, uppercase
    • Body: Saira, medium weight
  • Shape Language: Circular gauges, precise edges
  • Layout: Edge-to-edge data panels, modular rows
  • Motion: Precise transitions, restrained tempo

7. Signature Design Concept

The Landing page features a hero section with a macro shot of an AI-enhanced trading interface. Circular gauges display real-time market data, providing immediate visual insights. The design uses edge-to-edge photographic backgrounds to convey a sense of immersion, with amber and teal accents highlighting actionable insights and alerts.

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8. Interaction Model & Motion Direction

  • Interaction Model: Static
  • Motion Tempo: Restrained
  • Hero Dimensionality: Layered_2d
  • Landing Hero Motion Brief: A macro shot of a trading instrument with luminous accents on a dark titanium background. The hero section transitions smoothly with needle sweeps and data load animations, emphasizing precision and focus.

9. Non-Functional Requirements

  • The platform must ensure compliance with legal data sourcing and licensing for NSE and BSE data. (required_inference)
  • The platform should provide a secure and reliable environment for traders to execute trades. (basic_default)

10. Tech Stack

  • Frontend: React
  • Backend: Python/FastAPI
  • Data Storage: Appropriate storage solutions for real-time data
  • Deployment: Docker/docker-compose, Kubernetes if necessary

11. Assumptions and Constraints

  • The platform will only cover the Indian stock markets, specifically NSE and BSE.
  • Legal compliance for data sourcing must be resolved before implementation.
  • The platform will combine features from reference sites but will not treat them as authoritative requirements.
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12. Glossary

  • Scalping: A trading strategy that involves making numerous trades to profit from small price changes.
  • AI Agents: Software entities that use artificial intelligence to perform tasks such as data analysis and decision support.
  • NSE: National Stock Exchange of India.
  • BSE: Bombay Stock Exchange.
  • Options Chain: A listing of all available options contracts for a given security.
Landing design preview
Landing: Explore features
Sign Up: Submit registration
Login: Submit credentials
Dashboard: View market overview
Markets: View live market data
Markets: Set alerts and watchlist
Scalping: Execute scalping strategies
Scalping: Review performance metrics
Options Chain: Analyze options strategies
Options Chain: Compare options and set alerts
AI Insights: Review AI recommendations
AI Insights: Customize AI parameters
Trade Desk: Execute trades
Trade Desk: Review trade history
Landing design preview
Landing: Explore features
Sign Up: Submit registration
Login: Submit credentials
Dashboard: View market overview
Markets: View live market data
Markets: Set alerts and watchlist
Scalping: Execute scalping strategies
Scalping: Review performance metrics
Options Chain: Analyze options strategies
Options Chain: Compare options and set alerts
AI Insights: Review AI recommendations
AI Insights: Customize AI parameters
Trade Desk: Execute trades
Trade Desk: Review trade history