📈DATA FINALIZATION
Overview
Data Finalization is a crucial process in our financial analytics platform, ensuring data integrity, consistency, and reliability for all market analyses. This phase involves finalizing the collected and processed data before it is made available for AI-driven forecasts, technical analysis, and trading signals.
Key Components
1. Validation & Error Checking
Automated anomaly detection to identify inconsistencies in raw data.
Outlier detection algorithms filter unrealistic price movements.
Cross-verification with multiple data sources (TradingView, CoinGecko, Yahoo Finance).
2. Timestamp Synchronization
Time alignment of multiple data feeds to maintain uniformity.
Compensating for delays in API responses & missing data gaps.
Ensuring all data points are accurately recorded before storage.
3. Normalization & Formatting
Standardized data structure for seamless AI integration.
Conversion of market data into a uniform format (OHLC, volume, order book levels).
Ensuring compatibility across multiple analytical tools.
4. Data Storage & Archiving
Finalized data stored in secure PostgreSQL/SQLite databases.
Retention policies ensure historical market data is available for up to 6 months.
Encrypted backup solutions to prevent data loss.
5. Final Checks Before Deployment
Pre-processing for AI models: ensuring that only verified data is used.
Generation of final trading signals based on validated data.
Automated system notifications for data finalization status.
Automation & Workflow Integration
n8n.io automation for real-time updates.
AI-based pattern recognition before finalizing trading signals.
Notification alerts via Telegram, Email, and Webhooks.
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