CodeLessQuant

CodeLessQuant is a low-code, modular platform that empowers users to visually create, backtest, and analyze algorithmic trading strategies — no coding required. It features a drag-and-drop Blockly editor, a FastAPI backend, and intuitive performance visualization tools. Built for retail traders with minimal coding experience.

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Features

• Drag-and-drop strategy builder using custom indicator/action blocks
• JSON generation for backend strategy processing
• Powerful backtesting engine with:
• Sharpe Ratio
• Win Rate
• Equity Curve
• Live stock price preview
• JWT-based user authentication (Register/Login)
• Clean, modular codebase (React + FastAPI)

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Project Structure

CodeLessQuant/
├── frontend/      # React + Blockly
└── backend/       # FastAPI app

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Frontend (React + Blockly)

Key Components

File	Description
BlocklyEditor.js	Visual editor with custom blocks (RSI, SMA, EMA, MACD, BUY, SELL)
customBlocks.js	Defines custom Blockly trading blocks
jsonGenerator.js	Converts blocks into structured strategy JSON
MetricsTable.js	Displays performance metrics
EquityChart.js	Shows profit/loss equity curve
LoginPage.js & RegisterPage.js	Handles user authentication
LivePriceViewer.jsx	Real-time stock price display

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Backend (FastAPI)

Main Files

File	Description
main.py	Entry point for FastAPI
routes/backtest.py	Handles /backtest and /live-price APIs
routes/auth.py	Handles /register and /login APIs
services/backtester.py	Runs strategy backtest
services/data_fetcher.py	Fetches historical stock data (Yahoo Finance)
services/auth_service.py	Handles user registration & JWT login
models/strategy_model.py	Strategy JSON Pydantic schema
models/user_model.py	User schema for auth
utils/indicators.py	Technical indicator functions

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API Endpoints

Method	Endpoint	Description
POST	/backtest	Submit strategy JSON for backtesting
GET	/live-price/{ticker}	Get real-time price of a stock
POST	/register	Create a new user
POST	/login	Authenticate and receive JWT token

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Supported Technical Indicators

• RSI (Relative Strength Index)
• SMA (Simple Moving Average)
• EMA (Exponential Moving Average)
• MACD (Moving Average Convergence Divergence)
• Bollinger Bands
• ATR (Average True Range)

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Setup Instructions

Backend

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

Environment Variables (via .env)

SECRET_KEY=your_secret_key
ALGORITHM=HS256
ACCESS_TOKEN_EXPIRE_MINUTES=60

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Frontend

cd frontend
npm install
npm start

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Team – Random Forest Rangers

• Lavisha Kapoor (22112061)
• Kanishka Soni (22112050)
• Soumya Kumari (22322027)

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