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Jk patel .in

byJk patel jk

BUILD A PROFESSIONAL STOCK MARKET WEB APPLICATION CALLED "PAISA BANAO STRATEGY PRO" GOAL: Create a fully automated intraday cash-market stock scanner based on the Paisa Banao Strategy. The system must scan NSE stocks in real time and generate Buy/Sell setups automatically. DATA SOURCE: * Real-time NSE stock data * Real-time volume data * Market breadth data (Advance / Decline) * Historical 5-minute candle data * Auto-refresh every 10 seconds DASHBOARD LAYOUT: SECTION 1: MARKET SENTIMENT * Show Advance Count * Show Decline Count * Show Advance/Decline Ratio * Market Status: * Bullish (Green) * Bearish (Red) * Neutral (Yellow) RULE: If Advances > Declines: Show only BUY candidates If Declines > Advances: Show only SELL candidates SECTION 2: 09:25 AUTO SCANNER At exactly 09:25 AM: If Market Bullish: * Scan Top 20 Gainers * Display Top 5 strongest candidates If Market Bearish: * Scan Top 20 Losers * Display Top 5 strongest candidates Show: * Symbol * Sector * LTP * Gap % * Volume * Relative Volume * Strength Score SECTION 3: PAISA BANAO SETUP DETECTION TIMEFRAME: 5 Minutes BUY LOGIC: 1. First candle (09:15) must be Green. 2. Ignore first 3 candles. 3. After 09:30 look for Red candle. 4. That Red candle must have lowest volume among recent candles. 5. Entry = Break of High. 6. Stop Loss = Low of Signal Candle. 7. If new lower volume Red candle appears before trigger: Update Entry and SL automatically. 8. Setup valid till 11:00 AM only. SELL LOGIC: 1. First candle (09:15) must be Red. 2. Ignore first 3 candles. 3. Look for Green candle. 4. Green candle volume must be lowest. 5. Entry below Low. 6. SL above High. 7. Update if lower volume candle appears. 8. Valid till 11:00 AM. INVALID CONDITIONS: * Volume increasing continuously * Entry not triggered before 11:00 AM * Opposite structure break SECTION 4: LIVE SIGNAL TABLE Columns: * Symbol * Direction * Entry * Stop Loss * Risk * Target 1 (1:2 RR) * Quantity Size * Volume Score * Setup Quality * Status Status: * Waiting * Triggered * Target Hit * Breakeven * Closed SECTION 5: CHART ANALYSIS When user clicks any stock: Open full screen chart. Display: * Signal Candle * Entry Line * Stop Loss Line * Target Line * Volume Histogram * Market Breadth Data * Setup Explanation AUTO GENERATE TEXT: Example: "BUY setup detected because first candle was bullish. Lowest volume red candle formed at 10:05 AM. Smart Money accumulation suspected. Entry above 1250.50 with stop loss at 1241.20. Risk Reward 1:2." SECTION 6: RISK MANAGEMENT Capital Input Box Default: ₹100000 Risk: 0.20% per trade Auto calculate: Position Size Risk Amount Reward Amount Daily Rules: Max Trades: 4 Daily Max Loss: 1% SECTION 7: TRADE MANAGEMENT When 1:2 RR achieved: * Book 50% automatically * Move SL to Breakeven * Hold remaining quantity Display: Live RR Profit Loss Open PNL SECTION 8: SECTOR ANALYSIS Show: * Sector Name * Stocks Advancing * Stocks Declining * Sector Strength % Highlight strongest sector. SECTION 9: TOP GAINERS & TOP LOSERS Separate panels: Top 5 Gainers Top 5 Losers Show: * Volume Spike % * Relative Strength * Setup Availability SECTION 10: ALERTS Telegram Alerts WhatsApp Alerts Browser Notifications Send alert when: * Setup Found * Entry Triggered * Target Hit * SL Hit * Breakeven Activated SECTION 11: AI SCORE Generate score from: * Volume Pattern * Market Breadth * Relative Strength * Gap % * Sector Strength Final Score: 0-100 Only show setups above 80 score. SECTION 12: BACKTEST ENGINE Allow testing: Last 1 Month Last 3 Months Last 6 Months Last 1 Year Display: Win Rate Profit Factor Max Drawdown Average RR Total Trades SECTION 13: UI FEATURES * Dark Mode * Mobile Responsive * Dashboard Hide/Show Button * Fast Loading * Real-Time Updates * Full Screen Charts * Search Stock * Export Signals to CSV * Export Signals to Google Sheets IMPORTANT: Use only real-time data. No dummy data. No placeholder charts. No fake signals. All calculations must be automatic. Optimize for Indian stock market and NSE cash stocks.

LandingSignalsSignupChartDashboardBacktestAI ScoreLosersSectorsRiskLoginAlertsGainersTradesScanner
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System Requirements

System Requirement Document
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Jk patel .in

Introduction

The project "Jk patel .in" aims to develop a professional stock market web application called "Paisa Banao Strategy Pro." This application will provide a fully automated intraday cash-market stock scanner based on the Paisa Banao Strategy. It will scan NSE stocks in real-time and generate Buy/Sell setups automatically using FYERS API V3 as the primary data source.

System Overview

The "Paisa Banao Strategy Pro" application will be a comprehensive tool for stock market enthusiasts and traders, focusing on real-time data analysis and automated trading signals. The system will leverage real-time NSE stock data, volume data, market breadth data, and historical 5-minute candle data to provide actionable insights and trading setups. The application will feature a user-friendly dashboard with multiple sections dedicated to market sentiment, auto scanning, setup detection, live signals, chart analysis, risk management, trade management, sector analysis, top gainers and losers, alerts, AI scoring, and backtesting. The system will use FYERS API V3 WebSocket for live tick data and TradingView Advanced Chart Widget for chart rendering.

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Functional Requirements

  • As a User, I should be able to view real-time market sentiment, including advance/decline counts and ratios.
  • As a User, I should be able to see market status as Bullish, Bearish, or Neutral based on advance/decline data.
  • As a User, I should be able to access an auto scanner at 09:25 AM to identify top gainers or losers based on market conditions.
  • As a User, I should be able to view detailed information for top candidates, including symbol, sector, LTP, gap percentage, volume, relative volume, and strength score.
  • As a User, I should be able to detect Paisa Banao setups with specific buy and sell logic based on 5-minute timeframe data.
  • As a User, I should be able to view a live signal table with detailed trading information and status updates.
  • As a User, I should be able to click on any stock to open a full-screen TradingView chart with detailed analysis and explanations.
  • As a User, I should be able to manage risk with a capital input box and predefined risk parameters.
  • As a User, I should be able to manage trades with automatic actions based on risk-reward achievements.
  • As a User, I should be able to see real-time updates on stock data using FYERS API V3 WebSocket for live tick data, with symbol click events dynamically updating the TradingView symbol without reloading the page.
  • As a User, I should be able to analyze sector performance and identify the strongest sectors.
  • As a User, I should be able to view top gainers and losers with detailed metrics.
  • As a User, I should be able to receive alerts via Telegram, WhatsApp, and browser notifications for key trading events.
  • As a User, I should be able to view AI-generated scores for setups and only see setups above a certain score threshold.
  • As a User, I should be able to backtest trading strategies over various timeframes and view detailed performance metrics.
  • As a User, I should be able to use UI features such as dark mode, mobile responsiveness, and real-time updates.
  • As a User, I should be able to search for stocks and export signals to CSV or Google Sheets.
  • As a User, I should be able to see institutional buy/sell detection scores and AI explanations for stock movements.
  • As a User, I should be able to view live order flow data including buy/sell volume and market participation.

User Personas

  • Trader: Actively engages with the stock market, looking for automated tools to enhance trading strategies.
  • Investor: Interested in market trends and insights to make informed investment decisions.
  • Analyst: Focuses on data analysis and market research to provide recommendations.
  • Casual User: Seeks to understand market movements and explore trading opportunities.
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Core User Flows

  • Trader logs in -> views market sentiment -> accesses auto scanner -> reviews top candidates -> selects a stock -> views detailed chart -> manages risk and trades.
  • Investor logs in -> checks sector analysis -> identifies top gainers and losers -> receives alerts for key events -> reviews AI scores for potential setups.
  • Analyst logs in -> performs backtesting -> analyzes win rate and profit factors -> exports data for further analysis.
  • User clicks on a stock -> TradingView Advanced Chart Widget updates dynamically without page reload.
  • Casual User logs in -> explores market sentiment and trends -> clicks on stocks for detailed analysis -> receives notifications for key events.

Visuals Colors and Theme

  • primary: #1A73E8 (a deep blue for brand identity)
  • primary_light: #4A90E2 (a lighter blue for hover states)
  • secondary: #FF6F61 (a coral hue for emphasis and links)
  • accent: #FFD700 (a vibrant gold for CTAs and active states)
  • highlight: #FFA500 (an orange for hover states and notifications)
  • bg: #F5F5F5 (a light gray for the page background)
  • surface: rgba(255, 255, 255, 0.8) (a white card/panel background)
  • text: #333333 (a dark gray for primary text)
  • text_muted: #777777 (a softer gray for secondary text)
  • border: rgba(0, 0, 0, 0.1) (a subtle border color)
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Signature Design Concept

The homepage of "Paisa Banao Strategy Pro" will feature an interactive stock market dashboard that resembles a futuristic trading floor. Users will experience a dynamic interface where stock data and market trends animate in real-time, creating an immersive environment. The dashboard will utilize framer-motion for smooth transitions and animations, allowing users to hover over different sections to reveal detailed insights and trading setups. The design will incorporate a 3D rotating globe, representing global market influence, which users can interact with to explore different market sectors and trends. This concept will make the website instantly captivating and engaging for users.

Interaction Model & Motion Direction

The landing page will adopt a "parallax" interaction model, providing a layered depth effect as users scroll through the content. Decorative elements such as stock tickers and market graphs will move at different speeds, creating a visually rich storytelling experience. Internal pages, such as dashboards and settings, will maintain a "static" interaction model to ensure clarity and focus on data presentation.

Non-Functional Requirements

  • The system must handle real-time data processing with minimal latency.
  • The application should be optimized for performance and fast loading times.
  • The system must ensure data accuracy and integrity.
  • The application should be secure and protect user data.
  • The system should be scalable to accommodate increasing user demand.
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Tech Stack

  • Frontend: React for Web
  • Backend: Python, FastAPI
  • Database: MySQL or MariaDB, using Alembic for migrations
  • AI Models: GPT 5.4 for user-friendly responses
  • AI Tools: Litellm for LLM Routing, Langchain
  • Local Orchestration: Docker, docker-compose
  • WebSocket: FYERS API V3 for live tick data
  • Server-side Orchestration: Kubernetes

Assumptions and Constraints

  • The application will exclusively use real-time data from NSE.
  • The system will focus on the Indian stock market and NSE cash stocks.
  • All calculations and data processing must be automated.
  • The application must comply with relevant financial regulations and data privacy laws.
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Glossary

  • NSE: National Stock Exchange of India
  • LTP: Last Traded Price
  • SL: Stop Loss
  • RR: Risk Reward
  • PNL: Profit and Loss
  • AI: Artificial Intelligence

This document outlines the comprehensive requirements for the "Paisa Banao Strategy Pro" web application, ensuring a robust and user-friendly experience for stock market traders and investors.