Why Choose FinanceFlowAPI’s Financial Data API?
A unified solution for developers and traders requiring precise market data across multiple asset classes with RESTful integration.
Table of Contents
- What Is a Financial Data API?
- Core API Capabilities
- Real-World Use Cases
- Pricing Plans
- Developer Quick Start
Transparent Pricing
Choose a plan that fits your project scale. All plans include access to Stocks, Bonds, and Commodities.
What Is a Financial Data API?
A financial data API acts as a secure bridge between your application and global financial markets. FinanceFlowAPI simplifies this process by aggregating data from various exchanges into a single, easy-to-use JSON endpoint.
Core API Capabilities
| Feature | Details |
|---|---|
| Asset Coverage | 511,000+ Stocks, 80+ Commodities, 30+ Government Bond markets. |
| Update Frequency | Real-time updates with a 2–3 minute delay for spot prices. |
| Historical Data | Up to 366 days of candlestick data (OHLCV) on entry plans. |
Developer Use Case: Building a Breakout Monitor
Using raw data effectively is the key to building successful trading tools. Below is a practical Python example showing how to monitor if a stock is approaching its Daily High for a potential breakout signal.
import requests
# Practical Scenario: Daily High Breakout Alert
API_KEY = 'YOUR_API_KEY'
SYMBOL = 'AAPL'
URL = f'https://financeflowapi.com/api/v1/ticker-spot?api_key={API_KEY}&ticker={SYMBOL}'
try:
response = requests.get(URL)
json_res = response.json()
if json_res.get('success'):
data = json_res['data']
current_price = float(data['price'])
day_high = float(data['dayHigh'])
print(f"--- Analysis for {data['ticker']} ---")
print(f"Current: ${current_price:.2f} | Day High: ${day_high:.2f}")
# Signal Logic: Check if price is within 0.5% of the Daily High
if current_price >= day_high:
print("SIGNAL: Price has reached or broken the daily high!")
elif current_price >= day_high * 0.995:
print("ALERT: Price is in the breakout zone (within 0.5%).")
else:
diff = ((day_high - current_price) / current_price) * 100
print(f"STATUS: Market is {diff:.2f}% away from daily high.")
except Exception as e:
print(f"Connection Error: {e}")