Using Indices-API to Fetch Budapest Stock Exchange Index Price Time-Series Data for Predictive Analytics

Introduction

About Budapest Stock Exchange Index (BUX)

API Description

Indices-API Website or check the Indices-API Documentation.

Key Features and Endpoints

Latest Rates Endpoint

{
"success": true,
"timestamp": 1755310196,
"base": "USD",
"date": "2025-08-16",
"rates": {
"BUX": 0.00029,
"DOW": 0.00029,
"NASDAQ": 0.00039
},
"unit": "per index"
}

Historical Rates Endpoint

{
"success": true,
"timestamp": 1755223796,
"base": "USD",
"date": "2025-08-15",
"rates": {
"BUX": 0.00028,
"DOW": 0.00028,
"NASDAQ": 0.00038
},
"unit": "per index"
}

Time-Series Endpoint

{
"success": true,
"timeseries": true,
"start_date": "2025-08-09",
"end_date": "2025-08-16",
"base": "USD",
"rates": {
"2025-08-09": {
"BUX": 0.00028,
"DOW": 0.00029
},
"2025-08-11": {
"BUX": 0.00029,
"DOW": 0.00029
},
"2025-08-16": {
"BUX": 0.00029,
"DOW": 0.00029
}
},
"unit": "per index"
}

Convert Endpoint

{
"success": true,
"query": {
"from": "USD",
"to": "BUX",
"amount": 1000
},
"info": {
"timestamp": 1755310196,
"rate": 0.00029
},
"result": 0.29,
"unit": "per index"
}

Fluctuation Endpoint

{
"success": true,
"fluctuation": true,
"start_date": "2025-08-09",
"end_date": "2025-08-16",
"base": "USD",
"rates": {
"BUX": {
"start_rate": 0.00028,
"end_rate": 0.00029,
"change": 1.0e-5,
"change_pct": 3.57
}
},
"unit": "per index"
}

Open/High/Low/Close (OHLC) Price Endpoint

{
"success": true,
"timestamp": 1755310196,
"base": "USD",
"date": "2025-08-16",
"rates": {
"BUX": {
"open": 0.00028,
"high": 0.00029,
"low": 0.00027,
"close": 0.00029
}
},
"unit": "per index"
}

Bid/Ask Endpoint

{
"success": true,
"timestamp": 1755310196,
"base": "USD",
"date": "2025-08-16",
"rates": {
"BUX": {
"bid": 0.00028,
"ask": 0.00029,
"spread": 1.0e-5
}
},
"unit": "per index"
}

Data Processing Steps for Predictive Analytics

1. Data Collection

2. Data Cleaning

3. Feature Engineering

4. Model Selection

5. Model Training

6. Model Evaluation

7. Deployment

Examples of Predictive Model Applications

1. Algorithmic Trading

2. Risk Management

3. Portfolio Optimization

Conclusion

Indices-API Documentation for detailed information on each endpoint and its capabilities. Additionally, check the Indices-API Supported Symbols page for a comprehensive list of available indices.