Sigma-Terminal

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Bloomberg-inspired quantitative finance platform for market analysis, portfolio optimization, and risk analytics.

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## Financial Analytics & Decision-Support Platform

Sigma Terminal is an interactive financial analytics platform built with **Python and Streamlit**. It combines portfolio analysis, quantitative optimization, risk modeling, stress testing, and macroeconomic analysis into a single dashboard.

I built Sigma Terminal to apply **finance, economics, and data analysis** concepts to real-world financial data and turn that data into clear, decision-useful insights.

---

## 📊 Overview

Sigma Terminal brings together three core areas of financial analysis:

### 💼 Portfolio Analysis

- Track portfolio value, returns, and profit/loss
- Analyze asset allocation and portfolio weights
- Compare performance against market benchmarks
- Evaluate historical portfolio performance
- Analyze correlations between portfolio assets

### 📈 Risk & Portfolio Optimization

- Maximum Sharpe portfolio optimization
- Minimum-variance portfolio optimization
- **5,000-portfolio Monte Carlo simulation**
- Efficient-frontier modeling
- Maximum drawdown analysis
- 30-day rolling annualized volatility
- Portfolio stress testing
- Scenario-based market shocks

### 🌎 Macroeconomic Analysis

- Consumer Price Index (CPI)
- Year-over-year inflation
- Real GDP growth
- Federal Funds Rate
- Unemployment and labor-market trends
- 2-Year and 10-Year Treasury yields
- 10Y–2Y Treasury spread
- Economic regime analysis

---

## 💡 Financial Analysis & Decision Support

Sigma Terminal is designed to go beyond displaying financial data by transforming it into useful analytical outputs.

The platform can:

- Compare portfolio risk and return
- Identify optimized portfolio allocations
- Evaluate downside exposure
- Model hypothetical market scenarios
- Monitor major economic indicators
- Analyze changes in economic conditions
- Connect portfolio performance with the broader macroeconomic environment

---

## 🛠️ Technology

| Technology | Application |
|---|---|
| **Python** | Financial analysis and application logic |
| **Pandas & NumPy** | Data processing and quantitative analysis |
| **SciPy** | Portfolio optimization |
| **Plotly** | Interactive financial visualizations |
| **Streamlit** | Dashboard and user interface |
| **yFinance** | Historical and current market data |
| **FRED** | Macroeconomic and interest-rate data |
| **Git & GitHub** | Version control and project development |

---

## 🧠 Skills & Methods Applied

`Financial Analysis` `Data Analysis` `Portfolio Analysis`

`Risk Analysis` `Monte Carlo Simulation` `Scenario Analysis`

`Economic Analysis` `Data Visualization` `Python Development`

### Quantitative Methods

- Modern Portfolio Theory
- Maximum Sharpe Optimization
- Minimum-Variance Optimization
- Monte Carlo Portfolio Simulation
- Efficient-Frontier Modeling
- Volatility Analysis
- Maximum Drawdown
- Correlation Analysis
- Portfolio Stress Testing
- Macroeconomic Trend Analysis

---

## 🖥️ Dashboard

### Portfolio Analytics

Analyze portfolio performance, allocation, risk, and benchmark performance.

> **Screenshot coming soon**

### Portfolio Optimization

Evaluate thousands of simulated portfolios and identify optimized allocations based on expected return and risk.

> **Screenshot coming soon**

### Macroeconomic Dashboard

Analyze economic growth, inflation, labor markets, monetary policy, and Treasury-market conditions.

> **Screenshot coming soon**

---

## 🎯 Why I Built Sigma Terminal

I built Sigma Terminal to develop practical experience applying **financial analysis, economics, quantitative modeling, and programming** to real financial data.

Building the platform has required working through the full analytical process:

**Data Collection → Data Processing → Financial Modeling → Analysis → Visualization → Decision Support**

What began as a portfolio-analysis project has developed into a broader financial analytics platform connecting **portfolio construction, risk management, and macroeconomic conditions**.

---

## 🚀 Run Locally

### 1. Clone the repository

```bash
git clone YOUR-REPOSITORY-URL
cd OptiQuant-Terminal
```

### 2. Install dependencies

```bash
pip install -r requirements.txt
```

### 3. Launch Sigma Terminal

```bash
python -m streamlit run app.py
```

---

## 🔄 Current Development

Sigma Terminal is actively being expanded with additional capabilities in:

- Financial analysis
- Portfolio risk management
- Macroeconomic analysis
- Investment research
- Financial data visualization

---

## ⚠️ Disclaimer

Sigma Terminal was developed for **educational and analytical purposes**. It does not provide investment advice, and its models, scenarios, and economic classifications should not be interpreted as financial forecasts or investment recommendations.

Sigma-Terminal

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