Using Indices-API to Fetch Special Drawing Rights Price Time-Series Data for Predictive Analytics
Introduction
About Special Drawing Rights (XDR)
API Description
Indices-API Website or check out the Indices-API Documentation.
Key Features and Endpoints
Latest Rates Endpoint
{
"success": true,
"timestamp": 1755313521,
"base": "USD",
"date": "2025-08-16",
"rates": {
"DOW": 0.00029,
"NASDAQ": 0.00039,
"S&P 500": 0.00024,
"FTSE 100": 0.00058,
"DAX": 0.00448,
"CAC 40": 0.00137,
"NIKKEI 225": 0.0125
},
"unit": "per index"
}Historical Rates Endpoint
{
"success": true,
"timestamp": 1755227121,
"base": "USD",
"date": "2025-08-15",
"rates": {
"DOW": 0.00028,
"NASDAQ": 0.00038,
"S&P 500": 0.00023,
"FTSE 100": 0.0124,
"DAX": 0.0126,
"CAC 40": 0.0126,
"NIKKEI 225": 0.0126
},
"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": {
"DOW": 0.00028,
"NASDAQ": 0.00038,
"S&P 500": 0.00023,
"FTSE 100": 0.0124,
"DAX": 0.0126,
"CAC 40": 0.0126,
"NIKKEI 225": 0.0126
},
"2025-08-11": {
"DOW": 0.00029,
"NASDAQ": 0.00039,
"S&P 500": 0.00024,
"FTSE 100": 0.0124,
"DAX": 0.0126,
"CAC 40": 0.0126,
"NIKKEI 225": 0.0126
},
"2025-08-16": {
"DOW": 0.00029,
"NASDAQ": 0.00039,
"S&P 500": 0.00024,
"FTSE 100": 0.0124,
"DAX": 0.0126,
"CAC 40": 0.0126,
"NIKKEI 225": 0.0126
}
},
"unit": "per index"
}Convert Endpoint
{
"success": true,
"query": {
"from": "USD",
"to": "DOW",
"amount": 1000
},
"info": {
"timestamp": 1755313521,
"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": {
"DOW": {
"start_rate": 0.00028,
"end_rate": 0.00029,
"change": 1.0e-5,
"change_pct": 3.57
},
"NASDAQ": {
"start_rate": 0.00038,
"end_rate": 0.00039,
"change": 1.0e-5,
"change_pct": 2.63
},
"S&P 500": {
"start_rate": 0.0124,
"end_rate": 0.0125,
"change": 0.0001,
"change_pct": 0.81
},
"FTSE 100": {
"start_rate": 0.0124,
"end_rate": 0.0125,
"change": 0.0001,
"change_pct": 0.81
},
"DAX": {
"start_rate": 0.0126,
"end_rate": 0.0126,
"change": 0,
"change_pct": 0
},
"CAC 40": {
"start_rate": 0.0126,
"end_rate": 0.0126,
"change": 0,
"change_pct": 0
},
"NIKKEI 225": {
"start_rate": 0.0126,
"end_rate": 0.0126,
"change": 0,
"change_pct": 0
}
},
"unit": "per index"
}Open/High/Low/Close (OHLC) Price Endpoint
{
"success": true,
"timestamp": 1755313521,
"base": "USD",
"date": "2025-08-16",
"rates": {
"DOW": {
"open": 0.00028,
"high": 0.00029,
"low": 0.00027,
"close": 0.00029
},
"NASDAQ": {
"open": 0.00038,
"high": 0.0004,
"low": 0.00037,
"close": 0.00039
},
"S&P 500": {
"open": 0.0124,
"high": 0.0126,
"low": 0.0123,
"close": 0.0125
},
"FTSE 100": {
"open": 0.0124,
"high": 0.0126,
"low": 0.0123,
"close": 0.0125
},
"DAX": {
"open": 0.0126,
"high": 0.0126,
"low": 0.0126,
"close": 0.0126
}
},
"unit": "per index"
}Bid/Ask Endpoint
{
"success": true,
"timestamp": 1755313521,
"base": "USD",
"date": "2025-08-16",
"rates": {
"DOW": {
"bid": 0.00028,
"ask": 0.00029,
"spread": 1.0e-5
},
"NASDAQ": {
"bid": 0.00038,
"ask": 0.00039,
"spread": 1.0e-5
},
"S&P 500": {
"bid": 0.0124,
"ask": 0.0125,
"spread": 0.0001
},
"FTSE 100": {
"bid": 0.0124,
"ask": 0.0125,
"spread": 0.0001
},
"DAX": {
"bid": 0.0126,
"ask": 0.0126,
"spread": 0
},
"CAC 40": {
"bid": 0.0126,
"ask": 0.0126,
"spread": 0
},
"NIKKEI 225": {
"bid": 0.0126,
"ask": 0.0126,
"spread": 0
}
},
"unit": "per index"
}Data Processing Steps
1. Data Collection
2. Data Cleaning
3. Data Transformation
4. Exploratory Data Analysis (EDA)
5. Model Selection
6. Model Training and Evaluation
7. Deployment
Examples of Predictive Model Applications
1. Financial Forecasting
2. Risk Management
3. Algorithmic Trading
4. Economic Research
Conclusion
Indices-API Documentation and the Indices-API Supported Symbols. The potential applications of this data are vast, ranging from financial forecasting to risk management and algorithmic trading. As the financial landscape continues to evolve, the ability to harness real-time data will be a key differentiator for success.