Data Methodology
How we collect, process, and deliver financial market data
Data Pipeline Architecture
Data Collection
Real-time feeds from exchanges & APIs
Processing
Validation, normalization & enrichment
Delivery
Low-latency distribution via CDN
Collection Sources
- • Direct exchange connections
- • Licensed data vendors
- • Public APIs & feeds
- • Web scraping (where permitted)
Quality Checks
- • Outlier detection
- • Cross-source verification
- • Corporate action adjustments
- • Automated anomaly alerts
Performance
- • < 100ms latency (US equities)
- • 99.9% uptime
- • Global CDN distribution
- • Auto-failover systems
Corporate Actions Adjustments
Stock Splits
All historical prices adjusted proportionally
Before: $100 → After: $50
Volume: 1,000 → 2,000
Dividends
Adjusted close prices account for dividend payments
Maintains accurate return calculations
Mergers & Acquisitions
Historical data preserved with appropriate conversion ratios
Price Types Explained
Open
First traded price of the session
High / Low
Highest and lowest prices during the session
Close
Last traded price at session end (unadjusted)
Adjusted Close
Close price adjusted for all corporate actions. Use this for return calculations!
Volume
Total shares traded. Adjusted for splits.
Calculation Methodologies
Daily Return Calculation
Note: Always use Adjusted Close prices for accurate returns
Volatility (Standard Deviation)
252 = typical trading days per year
Moving Averages
RSI (Relative Strength Index)
RSI > 70: Overbought | RSI < 30: Oversold
Index Calculation Methods
Price-Weighted
DJIAHigher-priced stocks have more influence
Market Cap-Weighted
S&P 500Larger companies have more weight
Equal-Weighted
CustomAll stocks equally important
Data Quality Standards
Quality Assurance Process
Important Disclaimers
- • Data is provided for informational purposes only and should not be construed as investment advice
- • While we strive for accuracy, data may contain errors or delays. Always verify critical information
- • Past performance does not guarantee future results
- • Real-time data may be subject to exchange licensing fees and usage restrictions
- • Some markets have mandatory delays (typically 15 minutes) for non-professional users