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Ridwan Halim

IHSG Sharia AlgoTrader

Automated trading system for IHSG Sharia stocks with scalping, day trading, and swing trading strategies.

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Python Python
Django Django
Pandas Pandas
NumPy NumPy
IHSG Sharia AlgoTrader

Description

Developed with Python and Django, integrating Stockbit broker API for real-time trading execution.

Implements multiple trading styles: scalping, day trading, and swing trading with configurable risk management.

Uses Pandas and NumPy for data analysis, with TA-Lib for technical indicators.

Backtesting engine included to validate strategies against historical IHSG Sharia data.

Deployment-ready with modular architecture, supporting extension for new strategies and brokers.

Features

Multi-Strategy Trading

Supports scalping, day trading, and swing trading strategies tailored for IHSG Sharia stocks.

Broker Integration

Connected to Stockbit broker with RDN account support for live trading.

Risk Management

Configurable stop-loss, take-profit, and position sizing for safe trading.

Backtesting Engine

Validate strategies using historical IHSG Sharia data before live deployment.

Extensible Architecture

Easily add new strategies, brokers, or indicators with modular design.

Tech Stack

Python
Python Versatile programming language for web development, data science, and automation
Django
Django High-level Python web framework for rapid development
Pandas
Pandas Data manipulation and analysis library for Python
NumPy
NumPy Fundamental package for scientific computing in Python