🤖 PSX-ExpertAdvisor: An Intelligent Trading System

PSX ExpertAdvisor is a rule-based AI expert system that provides transparent, logic-driven trading signals for the Pakistan Stock Exchange. It encodes financial heuristics to transform market data into actionable Buy, Sell, and Hold recommendations.

Course: Artificial Intelligence

---

🧠 AI Methodology

This project implements a Knowledge-Based System (KBS); a branch of Artificial Intelligence that mimics the decision-making ability of a human expert. The AI logic is divided into:

1. Fact Base: Current market price, trading volume, and calculated technical indicators.
2. Rule Base: A collection of "IF-THEN" statements derived from technical analysis strategies.
3. Inference Engine: The core logic that matches current market "Facts" against the "Rules" to generate actionable insights.

---

🚀 Key Features

• Real-time & historical PSX data via yfinance
• Market scanner to identify trading opportunities
• Technical stock analysis (MA crossovers, RSI, volume)
• Rule-based Buy/Sell/Hold signal generation
• Portfolio builder for risk-aware investment tracking
• Interactive Dashboard
• Explainable AI with transparent, rule-backed decisions

---

📊 How it works

1. Input: User enters a PSX Ticker symbol (e.g., SYS, LUCK, ENGRO).
2. Fetch: The system pulls the latest historical data for that specific ticker.
3. Analyze: The Rule-Engine calculates technical heuristics (RSI, MAs, etc.).
4. Decision: The Inference Engine checks which rules are met.
5. Output: The dashboard displays the final signal (Buy/Sell/Hold) along with the reasoning.

---

🛠️ Tech Stack

Backend

• Language: Python
• Framework: Flask
• Data Analysis: pandas, numpy
• Market Data: yfinance (Yahoo Finance API)
• Web Scraping & Feeds: feedparser, requests

Frontend

• Core: Vanilla JavaScript (ES6+), HTML5, CSS3
• Data Visualization: Chart.js with chartjs-chart-financial for candlestick charts
• Networking: Axios for API communication

---

💻 Installation & Setup

Prerequisites

• Python >= 3.10.
• Git installed.

1. Clone the Repository

git clone https://github.com/ajawad06/PSX-IntelliTrade.git
cd PSX-IntelliTrade

2. Create a Virtual Environment

python -m venv venv
# Activate on Windows:
.\venv\Scripts\activate
# Activate on Mac/Linux:
source venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

4. Run the Application

streamlit run app.py

---