No project ideas found
Try adjusting your filters to see more results.
TradeSimulator - Stock and Crypto Paper Trading Platform
NamasteDev
|
0 Likes
|
hard
A risk-free simulated trading platform where users practice stock and crypto trading with virtual money.
Domains
financefintechgaming
Technologies
web
fullstack
database
react
nodejs
datascience
Project Details
TradeSimulator - Stock and Crypto Paper Trading Platform
A risk-free simulated trading platform where users practice stock and crypto trading with virtual money. Real market data, real order types, real portfolio analytics — without real financial risk. Built for beginners who want to learn trading, students studying finance, and experienced traders testing new strategies before putting real money on the line.
The Problem It Solves
- New investors are scared to start because they fear losing real money
- No platform combines stocks and crypto paper trading in one unified experience
- Existing simulators use delayed or fake price data, making practice unrealistic
- Traders have no safe environment to backtest strategies before going live
- Finance students need hands-on trading experience but have no capital to start
Tech Stack
- Frontend: React.js, TailwindCSS, TradingView Lightweight Charts for candlestick and line charts
- Backend: Node.js, Express.js
- Database: PostgreSQL (portfolios, orders, positions, watchlists, trade history)
- Market Data: Alpha Vantage or Yahoo Finance API for stock prices, CoinGecko API for crypto
- Real-time: WebSocket for live price feeds and portfolio value updates
- Cache: Redis for storing live price data and reducing API rate limit hits
- Auth: JWT with 2FA via OTP
- Background Jobs: Bull Queue with Redis for order execution engine
- Deployment: AWS EC2 (backend), Vercel (frontend), Supabase or Neon (PostgreSQL)
Core Features (MVP)
-
Virtual Portfolio
- Every new user starts with a configurable virtual balance (default Rs 10 lakh)
- Real-time portfolio value calculated from live market prices
- Portfolio breakdown: cash remaining, invested amount, current value, total P and L
- Reset portfolio option with a cooldown period to prevent abuse
- Support for both INR-based stock trading and USD-based crypto trading
-
Order Types
- Market order: execute immediately at current market price
- Limit order: execute only when price reaches a specified level
- Stop-loss order: auto-sell when price drops below a threshold
- Bracket order: combine target price and stop-loss in one order
- Orders stored in a queue and executed by background job when conditions are met
-
Watchlists
- Create multiple named watchlists (e.g. Tech Stocks, DeFi Tokens, Nifty 50)
- Add stocks and crypto with one click from search
- Live price updates with percentage change and sparkline chart
- Set price alerts for any asset in the watchlist
- Alert triggers push notification and in-app bell notification
-
Trade History and Order Book
- Full log of all past orders with timestamp, type, quantity, price, and status
- Filter by asset, order type, date range, and status (filled, pending, cancelled)
- Export trade history as CSV for personal analysis
- Order book showing pending limit orders across the platform (anonymized)
-
Portfolio Analytics Dashboard
- Daily, weekly, monthly, and all-time P and L chart
- Win rate: percentage of profitable trades vs total trades
- Best and worst performing asset in the portfolio
- Sector allocation pie chart
- Average holding period per asset
- Sharpe ratio and volatility score (simplified calculation for educational purposes)
-
Asset Detail Page
- Candlestick chart with TradingView Lightweight Charts
- Timeframes: 1 minute, 5 minutes, 15 minutes, 1 hour, 1 day, 1 week
- Key stats: market cap, 52-week high and low, volume, P/E ratio (stocks), circulating supply (crypto)
- Recent news headlines pulled from NewsAPI or Alpha Vantage news feed
- Buy and sell panel directly on the asset page
Advanced Features (Scalable Ideas)
-
Leaderboard and Competitions
- Weekly and monthly leaderboard ranked by portfolio returns
- City-wise and college-wise leaderboards for community engagement
- Create private competitions with friends or within a college group
- Competition mode: fixed starting capital, fixed duration, winner takes badge and bonus credits
- Hall of Fame for all-time top performers per asset class
-
Strategy Backtesting
- Define a simple trading strategy using rule builder (e.g. buy when RSI below 30, sell when above 70)
- Run strategy against 1 year or 5 years of historical data
- See simulated returns, drawdown, win rate, and trade frequency
- Compare strategy performance vs Nifty 50 or Bitcoin benchmark
- Save and share strategies with the community
-
AI Trade Coach
- Analyzes your trade history and flags patterns: overtrading, panic selling, FOMO buying
- Weekly insight report: "You tend to sell winners too early and hold losers too long"
- Suggests educational content based on your trading weaknesses
- Chatbot for asking trading questions in plain English
-
Options and F and O Paper Trading
- Simulate Nifty and BankNifty options buying and selling
- Options chain view with Greeks (Delta, Theta, IV)
- Strategies: covered call, straddle, strangle simulation
- Options P and L calculator before placing the trade
-
IPO Simulation
- Participate in mock IPO allotments based on real upcoming IPOs
- Apply for IPO at issue price, get allotment based on subscription demand
- List on exchange at simulated listing price
- Track IPO listing gains and compare with market
-
Challenge Mode
- "Beat the Nifty 50 in 30 days" style monthly challenges
- Themed challenges: "Only trade EV stocks this week", "Crypto only portfolio for 7 days"
- Streak rewards for completing challenges consistently
- Challenge results shared on profile as achievement badges
-
Social Feed
- Share trade ideas with the community (buy or sell thesis in plain text)
- Other users can follow your portfolio performance (without seeing exact holdings)
- React and comment on trade ideas
- Verified expert traders get a badge and higher visibility
-
Paper Trading Journal
- Attach notes to any trade explaining the reasoning behind it
- Tag trades by strategy, emotion, or setup type
- Review journal entries alongside chart at the time of trade
- Identify patterns in good and bad decisions over time
Monetization Strategy
- Free plan — basic portfolio, market orders, watchlist, 1 month history
- Pro plan — limit and bracket orders, backtesting, AI coach, full history, leaderboard
- Student plan — discounted Pro for verified college email users
- College and institute licensing — bulk licenses for finance departments and trading clubs
- Competition sponsorships — brands sponsor monthly trading competitions for visibility
- Premium data feeds — real-time tick-by-tick data as an add-on for serious traders
Why This Project Stands Out
- WebSocket, Redis caching, background job queues, and financial data APIs together cover advanced backend architecture concepts
- TradingView charts integration immediately makes the UI look professional and production-ready
- Order execution engine with different order types is a genuinely complex system to build
- Backtesting engine involves time-series data processing which is a strong resume talking point
- Appeals directly to the finance and trading community which is a large and engaged user base in India